digital intelligence

Industry 4.0, also known as the Fourth Industrial Revolution, represents a transformative shift in manufacturing, driven by the integration of digital technologies, automation, data exchange, and the Internet of Things (IoT). This paradigm shift is reshaping traditional manufacturing processes by fostering interconnected, smart systems that enable real-time monitoring, predictive analytics, and enhanced operational efficiency. Through the adoption of cyber-physical systems, cloud computing, advanced robotics, artificial intelligence (AI), and big data analytics, manufacturers can optimize production processes, reduce costs, improve quality, and create flexible, agile production environments. The concept of smart manufacturing, a core component of Industry 4.0, revolves around the seamless interaction between machines, systems, and human operators to enhance decision-making and drive innovation. This paper explores the key technologies, benefits, and challenges associated with Industry 4.0, highlighting its potential to revolutionize the manufacturing landscape and pave the way for more sustainable, efficient, and customized production. The shift toward smart manufacturing presents an opportunity for manufacturers to not only enhance competitiveness but also to address the challenges of an increasingly complex global market.

Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies—including machine learning, digital twins, edge AI, and human-machine collaboration—in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing and collaborative robots (cobots) pave the way for low-latency communication and safer, more adaptable production environments aligned with Industry 5.0 principles. Real-world case studies demonstrate measurable economic impacts, including a 30% reduction in downtime at KONE’s elevator manufacturing facility and scalable ROI for SMEs adopting AI-driven solutions. Furthermore, regulatory frameworks and ethical AI guidelines are increasingly essential for ensuring transparency, safety, and responsible deployment. Looking ahead, the convergence of immersive technologies (AR/VR/MR), digital twins, and ethical AI will further enhance virtual simulation, reduce material waste, and support sustainable industrial ecosystems. As manufacturers adopt these cutting-edge innovations, resilient, agile, and human-centric systems will become the new standard, balancing dynamic market demands with environmental and social responsibility. Ultimately, AI-driven automation promises to reshape global manufacturing ecosystems, driving economic growth and sustainable industrial transformation.

AI-driven robotics transforms smart manufacturing by improving efficiency, flexibility, and productivity. • Emerging tools like edge AI and digital twins enable real-time decisions through humanmachine collaboration. • AI-based automation reduces energy use, emissions, and waste, aligning with global sustainability objectives. • The transition to Industry 5.0 shifts toward more human-focused and environmentally sustainable production. Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies-including machine learning, digital twins, edge AI, and human-machine collaboration-in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing and collaborative robots (cobots) pave the way for low-latency communication and safer, more adaptable production environments aligned with Industry 5.0 principles. Real-world case studies demonstrate measurable economic impacts, including a 30% reduction in downtime at KONE's elevator manufacturing facility and scalable ROI for SMEs adopting AI-driven solutions. Furthermore, regulatory frameworks and ethical AI guidelines are increasingly essential for ensuring transparency, safety, and responsible deployment. Looking ahead, the convergence of immersive technologies (AR/VR/MR), digital twins, and ethical AI will further enhance virtual simulation, reduce material waste, and support sustainable industrial ecosystems. As manufacturers adopt these cuttingedge innovations, resilient, agile, and human-centric systems will become the new standard, balancing dynamic market demands with environmental and social responsibility. Ultimately, AI-driven automation promises to reshape global manufacturing ecosystems, driving economic growth and sustainable industrial transformation.

Control theory has been a cornerstone in the development of modern industrial systems, enabling automation, optimization, and reliability across various sectors worldwide. This paper explores the latest advancements in the application of control theory in industrial settings, focusing on innovative methodologies, practical implementations, and emerging challenges. We present case studies from manufacturing, energy, and robotics industries, highlighting how control theory has been leveraged to improve efficiency, reduce costs, and enhance system performance. Additionally, we discuss the integration of advanced control strategies, such as model predictive control (MPC), adaptive control, and machine learningbased control, in addressing complex industrial problems. The paper concludes with a forward-looking perspective on the future of control theory in industry, emphasizing the role of digital transformation, cyber-physical systems, and sustainable practices.

The educator is a “Translator” ie manufacturer of algorithms for a teaching in the infosphere. The teacher who turns into a robotic mind perhaps of the type R2D2 a research droid, will be the emblem of our future. The work aims to validate the moments of transformation through which, over the centuries, the mathematical sciences, with the help of philosophy, have elevated the languages Natural Language Generation (NLG) to formal models. The starting hypothesis is to corroborate an epistemological statute, which entrusts mental processes with logical-mathematical reasoning following four models: Chomsky (1956), which, with descriptive grammar, marks a new model for the rewriting of languages; Gross (1975), which, with the relationship between linguistics, informatics and mathematics, generates a relation concerning a strongly transdisciplinary domain, in which linguistics

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Scopi: rilevazioni di frasi fisse o parti fisse di una frase nel testo omerico « Iliade-Odissea» Analisi dei tratti e rilevazioni: meccanismi retorici linguistici fissi :unità lessicali superiore, frasi idiomatiche metafora OBIETTIVI Individuare le forme fisse o parzialmente fisse nella struttura omerica Riprodurre ed implementare in codici linguistici e binarie le forme fisse Valorizzazione delle unità lessicali del DPH Formulazione dei tratti prescelti in codice formale linguistico (lessico-Grammatica) Analisi trasformazionale e distribuzionale in ambiente linguistico ad alto calcolo (Nooj)

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Les applications des technologies numeriques de l’information sur le patrimoine culturel, en particulier dans l’opera, fondent notre intervention. L’apport de l’innovation numerique alliee a l’analyse genetique permet d’approfondir et d’agrandir la comprehension d’une oeuvre (creation, reception, re-creations) : interpreter les donnees, traduire les traces graphiques de l'ecriture en indices de processus, relever les recurrences et induire des regularites, propres a l'oeuvre, a l'auteur, au genre, a l'epoque, aux caracteristiques de l'ecriture.

Proses seleksi beasiswa PPA pada Universitas Muhammadiyah Pontianak memakan waktu yang lama. Banyaknya peminat membuat pihak panitia penerimaan beasiswa PPA kesulitan untuk menyeleksi mahasiswa dikarenakan peminat banyak, kuotanya yang sedikit dan faktor cara penilaian yang dilakukan selama ini sangat sulit untuk mendapatkan hasil penilaian yang detail dan akurat dari setiap mahasiswa yang mendaftar. Penelitian ini membahas mengenai perancangan prototipe aplikasi berbasis website sebagai sarana pengambilan keputusan seleksi penerimaan beasiswa PPA Universitas Muhammadiyah Pontianak menggunakan metode fuzzy mamdani. Sistem yang dibangun diharapkan dapat membantu pihak panitia mengurangi tingkat kesalahan dalam analisa dan penilaian dalam proses seleksi penerimaan beasiswa PPA dan tentunya agar tepat sasaran dalam menentukan mahasiswa yang layak menerima beasiswa PPA. Hasil pengujian sistem menjukkan bahwa sistem dapat diterapkan sesuai kebutuhan kampus dalam proses seleksi beasiswa PPA dengan menggunakan 4 tahapan proses logika fuzzy mamdani serta menghasilkan perhitungan yang akurat diketahui melalui pengujian Root Mean Square Error menunjukkan nilai error 0,315 dan juga diketahui melalui pengujian Mean Absolute Perentage Error menunjukkan nilai error 1,06%.

Pemilihan dosen berprestasi di Universitas Khairun yang digunakan selama ini masih bersifat konvensinal, dimulai dari penyampaian informasi sampai pada tahap pemberian nilai. Untuk itu, perlu diterapkan sebuah metode pendukung keputusan sebagai solusi yang ditawarkan dalam pemilihan dosen berprestasi. Penelitian ini bertujuan untuk mengembangkan sistem reomendasi pemilihan dosen berprestasi di Universitas Khairun Ternate. Sistem ini menggunakan metode Multi-Attributte Utillity Theory (MAUT), MAUT digunakan untuk merubah dari beberapa kepentingan ke dalam nilai numerik dengan skala 0-1, 0 mewakili pilihan terburuk dan 1 terbaik. Hasil pengujian sistem didapatkan nilai tertinggi hingga nilai terendah. Pada hasil perangkingan terdapat nilai tertinggi yaitu dengan nilai=300 dan nilai terendah dengan nilai=40. Hasil akhir yang diharapkan adalah mendapatkan sejumlah rekomendasi dosen dengan nilai tertinggi hingga nilai terendah. Dengan dibuat SPK pemilihan dosen berprestasi diharapkan mampu mempermudah dalam pemilihan dosen berprestasi. Hasil pengujian sistem dengan menggunakan metode pengujian sistem white box telah berhasil dilakukan. Dimana dengan melakukan pengujian pada setiap path-path dalam 13 kali pengujian, Pengujian menunjukkan bahwa sistem informasi ini berjalan sesuai dengan yang diharapkan, dan tidak terjadi kesalahan logika. Kata kunci: SPK, MAUT, pemilihan dosen berprestasi.

The availability of a choice of majors in SMA makes various motivations and the basic reasons for students to choose and take the study program they will study later. This research was made in order to know the appropriate study program / department in the consideration of students in terms of the students' basic reasons for choosing a major. The research was conducted by distributing questionnaires to 41 respondents, and the model used was the AHP (Analytical Hierarchy Process) model, which is a multicriteria decision-making method. With this research, it is expected that there will be a change in the mindset of students in choosing the department so that they are not wrong in determining the chosen department. The results showed that there were three main criteria used, namely Interest, Role of Parents and Opportunities, where it was found that interest was the highest criterion in the selection of a department, namely 47% or 0.47 and in the process of selecting the Department there were three alternatives, namely Accounting, Multimedia, and Computer and Network Engineering that produces accounting as the most important alternative with the highest priority weight of 37% or 0.37.

The availability of a choice of majors in SMA makes various motivations and the basic reasons for students to choose and take the study program they will study later. This research was made in order to know the appropriate study program / department in the consideration of students in terms of the students' basic reasons for choosing a major. The research was conducted by distributing questionnaires to 41 respondents, and the model used was the AHP (Analytical Hierarchy Process) model, which is a multicriteria decision-making method. With this research, it is expected that there will be a change in the mindset of students in choosing the department so that they are not wrong in determining the chosen department. The results showed that there were three main criteria used, namely Interest, Role of Parents and Opportunities, where it was found that interest was the highest criterion in the selection of a department, namely 47% or 0.47 and in the process of selecting the Department there were three alternatives, namely Accounting, Multimedia, and Computer and Network Engineering that produces accounting as the most important alternative with the highest priority weight of 37% or 0.37.

Penggunaan Sistem pendukung keputusan pada pemilihan sekolah dasar Islam di Pontianak adalah untuk membantu orang tua yang akan menyekolahkan anaknya di sekolah dasar Islam Pontianak yang tepat sesuai dengan harapan orang tua. Keputusan ini tentunya didukung oleh beberapa kriteria antara lain adalah akreditasi, program pembelajaran, kualitas guru, fasilitas sekolah, lingkungan sekolah dan output dan prestasi. Kriteria-kriteria tersebut diperoleh berdasarkan kuesioner dan wawancara dengan wali murid sekolah dasar islam. Sistem pendukung keputusan pemilihan sekolah dasar Islam Pontianak menggunakan metode Analytical Hierarchy Process (AHP), dimana proses pengambilan keputusan dilakukan dengan menilai alternatif pilihan berdasarkan kriteria yang sudah di tentukan. Hasil perhitungan memperlihatkan bahwa kriteria yang terpenting di dalam pemilihan sekolah dasar islam adalah output dan prestasi yang dihasilkan dengan nilai 0,488, diikuti dengan kriteria akreditasi dengan nilai 0,359, kriteria proses pembelajaran dengan nilai 0,253, kriteria kualitas guru dengan nilai 0,158, kriteria fasilitas sekolah dengan nilai 0,150, dan lingkungan sekolah dengan nilai 0,069.

Problem of which often happened in course of determining family planning (KB) example among others is decision making su1)bjectivity, especially if some existing family planning (KB) niner have value or ability which [do] not far differ. Usage of System Supporter Decision, expected to lessen subjectivity in decision makingSystem Supporter Decision by using this gap analysis is made pursuant to norm and code - human resource norm. Peruses Enumeration of gap conducted to determine employees recommendation in system election of family planning (KB) example pursuant to criteria some which have been determined by side which assessing.Result of from this process in the form of wight assessment of family planning (KB) example. This competent assessment become of family planning (KB) example participant in BKKBN Bengkulu. This Software is made with Microsoft Access applying for 2003 and is Visual Basic 6.0. as tool.Keyword : System Supporter Decision, Analysis Gap

Educational institutions, especially Madrasah Ibtidaiyah, many scholarships are offered to prospective students, scholarships are also given to prospective students at Madrasah Ibtidaiyah Al Huda, East Jakarta, namely in the form of superior scholarships, several problems that often occur, for example the selection process is not accurate due to the large number of applicants who must register. according to the existing criteria, so that the selection process requires accuracy and time so this is not effective. Decision support applications are a way of dealing with the problem of determining scholarships at the Madrasah Ibtidaiyah. This application uses Simple Additive Weighing (SAW), chosen because this method determines the weight of each predetermined criterion then proceeds with the normalization process and continues with the ranking process to select the best alternative. The results of this study are a decision support system in the classification of scholarship recipients u...

Tanaman holtikultura merupakan ilmu pertanian yang mempelajari budidaya buah-buahan, sayuran, obat-obatan dan tanaman hias. Budidaya tanaman ini dapat dijadikan sebagai produk unggulan yang mampu meningkatkan kesejahteraan petani. Kurangnya pengetahuan petani tentang jenis tanaman holtikultura sayuran yang cocok ditanam dilahannya akan berdampak kepada hasil panen petani yang tidak sesuai dengan harapan. Untuk membantu petani dalam meningkatkan hasil panennya maka dibuatlah aplikasi sistem pendukung keputusan. Sistem pendukung keputusan merupakan suatu sistem yang dapat membantu dalam pengambilan suatu keputusan. Tujuan dari perancangan aplikasi sistem pendukung keputusan pemilihan tanaman holtikultura sayuran ini adalah untuk mambantu petani didalam memilih tanaman holtikultura sayuran agar mendapatkan hasil panen yang sesuai dengan harapan. Dalam pemilihan tanaman holtikultura sayuran ini dibagi menjadi dua musim yaitu musim panas dan musim hujan. Pengujian pada aplikasi ini menggunakan metode Black Box. Berdasarkan pengujian dengan menggunakan User Acceptance Test kepada 15 responden didapatkan kategori cukup setuju 30 jawaban, 144 untuk jawaban setuju, 145 untuk jawaban sangat setuju, kurang setuju 0 dan tidak setuju 0. Hasil yang didapatkan dengan pengujian user acceptance test adalah 85%. Sehingga dapat dikatakan bahwa aplikasi sistem pendukung keputusan ini dapat diterima dengan sangat baik oleh petani.

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration behavior. From the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability.Digital intelligence (DI) and cyber-physical-social systems (CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence (AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semi-arid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the upstream, midstream and downstream areas. Furthermore, establishing mechanisms for water resource transfer and trade among different industries can be instrumental in maximizing the benefits derived from water resources. Finally, we envisage a future of agriculture characterized by the integration of digital, robotic and biological farming techniques. This vision aims to incorporate small tasks, big models, and deep intelligence into the regular ecological practices of intelligent agriculture.

The availability of a choice of majors in SMA makes various motivations and the basic reasons for students to choose and take the study program they will study later. This research was made in order to know the appropriate study program / department in the consideration of students in terms of the students' basic reasons for choosing a major. The research was conducted by distributing questionnaires to 41 respondents, and the model used was the AHP (Analytical Hierarchy Process) model, which is a multicriteria decision-making method. With this research, it is expected that there will be a change in the mindset of students in choosing the department so that they are not wrong in determining the chosen department. The results showed that there were three main criteria used, namely Interest, Role of Parents and Opportunities, where it was found that interest was the highest criterion in the selection of a department, namely 47% or 0.47 and in the process of selecting the Department there were three alternatives, namely Accounting, Multimedia, and Computer and Network Engineering that produces accounting as the most important alternative with the highest priority weight of 37% or 0.37.

A completely automated production system equipped with cutting-edge digital technologies is referred to as a smart business. Its emergence is viewed in many studies as the beginning of a new wave of production innovation. Smart businesses use a combination of physical and cyber technologies. As more and more objects acquire intelligence, scientists and engineers work to create not only cutting-edge technology but also smarter homes, factories, and even cities. The fourth industrial revolution the current design of the digital factory makes it necessary to construct the smart business in order to make the associated technologies through technology and deep integration of previously independent discrete systems. Despite the recent sharpening of conceptions, it is challenging for industrial companies to build a clear. Within the maze of varying terminology, thoughts and ideas, design a strategic roadmap. This study discusses the smart business in order to provide both researchers and practitioners with more clarity and to consolidate the prior findings. Reduced human operator involvement and an emphasis on automation systems are the main goals of Industry 4.0. However, this goal has shifted in Industry 5.0, which attempts to maintain a balance while maximizing the advantages from human-machine interaction. The goal of Industry 5.0 is to improve the relationship between people's inherent productivity and ever-more-powerful machinery.

Penggunaan Sistem pendukung keputusan pada pemilihan sekolah dasar Islam di Pontianak adalah untuk membantu orang tua yang akan menyekolahkan anaknya di sekolah dasar Islam Pontianak yang tepat sesuai dengan harapan orang tua. Keputusan ini tentunya didukung oleh beberapa kriteria antara lain adalah akreditasi, program pembelajaran, kualitas guru, fasilitas sekolah, lingkungan sekolah dan output dan prestasi. Kriteria-kriteria tersebut diperoleh berdasarkan kuesioner dan wawancara dengan wali murid sekolah dasar islam. Sistem pendukung keputusan pemilihan sekolah dasar Islam Pontianak menggunakan metode Analytical Hierarchy Process (AHP), dimana proses pengambilan keputusan dilakukan dengan menilai alternatif pilihan berdasarkan kriteria yang sudah di tentukan. Hasil perhitungan memperlihatkan bahwa kriteria yang terpenting di dalam pemilihan sekolah dasar islam adalah output dan prestasi yang dihasilkan dengan nilai 0,488, diikuti dengan kriteria akreditasi dengan nilai 0,359, kriteria proses pembelajaran dengan nilai 0,253, kriteria kualitas guru dengan nilai 0,158, kriteria fasilitas sekolah dengan nilai 0,150, dan lingkungan sekolah dengan nilai 0,069.

Higher education becomes a level of further education after pursuing a secondary education program. Tidar University is one of the public higher education institutions located in Central Java Province. Since its inception in 1979, Tidar University has only undergone a change in status to a public university in 2014. This change has an influence on the increase in the number of enthusiasts who want to study at Tidar University. In addition, there were several new study programs at Tidar University in different years which also led to an increase in the number of new students of Tidar University. However, the Covid-19 pandemic also brought an influence that led to a drastic decrease in the number of enthusiasts at Tidar University. This study tried to implement chen's fuzzy time series to predict the number of enthusiasts in the first 10 study programs of Tidar University. In this prediction process, the number of intervals used affects the forecasting results. To determine the number of intervals, the Sturges formula is used. The prediction results showed the smallest MAPE value of 5.7551% in the agrotechnology study program and the largest MAPE at 28.3936% in the accounting D3 study program.

Although the interest of academics and practitioners is focused on concepts, such as digital competence, literacy, and skills, digital intelligence has its own distinct importance. Whilst the former concepts are related to knowledge and learning outcomes, digital intelligence is about the new way of thinking (particularly visible to young people) that is developing in the continuously expanding digital environment. Understanding and further investigating digital intelligence will help to establish better and more appropriate, for the demands of the digital era, frameworks of digital competence. This study proposes that measuring digital intelligence should comprise computational thinking tests, as well as tests that could be used to assess digital use and behaviour. In the context of that, a number of students at senior high schools of the Regional Unit of Thessaloniki, Greece, were tested regarding their computational thinking and their digital use and behaviour. The most interesting results are: (i) the average score of students increases as the level of education of their parents increases, and (ii) there is a statistically significant positive relationship of the students' aggregate performance between computational thinking and digital use & behaviour, implying that they are correctly considered components of the construct of digital intelligence.

Contemporary reality and accompanying it civilization development is an extremely complex and demanding area perceived on the one hand in the context of threats, on the other hand-the need to develop competencies that allow one to survive, and the other to develop in increasingly complex conditions of modern times. The conviction of people about life in permanent danger, the increasing complexity of conditions and events generates the need to work out often not one, but at least a few thought-out strategies adequate to time and spatial conditions, threats, problems and people that these problems and threats relate to or may concern. In addition to a pool of problems and events that we can deal with, predict their occurrence, prevent and counteract, we also have problems and threats that we have just started to recognize. The article focuses on contemporary challenges of education for security and the need to develop each of the competencies separately, emphasizing the importance of complementarity in their application in everyday life in order to ensure understanding, action and development of ourselves and the environment, solving problems and dealing with difficult situations and threats.

Pharmacies are decisive places in providing, distributing, and dispensing drugs need by the community. The high demand for drugs at the Crystal Farma Pharmacy Oebobo makes it difficult for pharmacists to choose more than one drug supplier. This study aims to build a decision support system for drug supplier selection. This system provides results in the form of recommendations for the best suppliers, which are taken into consideration by pharmacy managers. Application elimination et choix radiant la reality (ELECTR) method, using the criteria of price, discount, expiration date, stock, distance, and payment system for four drug suppliers. ELECTRE method resulted in the drug rating of Amoxicillin 500 Mg, namely PT. Indofarma Global Medika and PT. Enseval Putera Megatrading. In an experiment testing the calculation on the system using case data on as many as four types of generic drugs, namely Allopurnol, Amlodipine, Mefenamic Acid, and Paracetamol, the results of PT. Sapta Sari Tama ...

Proses seleksi beasiswa PPA pada Universitas Muhammadiyah Pontianak memakan waktu yang lama. Banyaknya peminat membuat pihak panitia penerimaan beasiswa PPA kesulitan untuk menyeleksi mahasiswa dikarenakan peminat banyak, kuotanya yang sedikit dan faktor cara penilaian yang dilakukan selama ini sangat sulit untuk mendapatkan hasil penilaian yang detail dan akurat dari setiap mahasiswa yang mendaftar. Penelitian ini membahas mengenai perancangan prototipe aplikasi berbasis website sebagai sarana pengambilan keputusan seleksi penerimaan beasiswa PPA Universitas Muhammadiyah Pontianak menggunakan metode fuzzy mamdani. Sistem yang dibangun diharapkan dapat membantu pihak panitia mengurangi tingkat kesalahan dalam analisa dan penilaian dalam proses seleksi penerimaan beasiswa PPA dan tentunya agar tepat sasaran dalam menentukan mahasiswa yang layak menerima beasiswa PPA. Hasil pengujian sistem menjukkan bahwa sistem dapat diterapkan sesuai kebutuhan kampus dalam proses seleksi beasiswa PPA dengan menggunakan 4 tahapan proses logika fuzzy mamdani serta menghasilkan perhitungan yang akurat diketahui melalui pengujian Root Mean Square Error menunjukkan nilai error 0,315 dan juga diketahui melalui pengujian Mean Absolute Perentage Error menunjukkan nilai error 1,06%.

Contemporary reality and accompanying it civilization development is an extremely com-plex and demanding area perceived on the one hand in the context of threats, on the other hand – the need to develop competencies that allow one to survive, and the other to develop in increasingly complex conditions of modern times. The conviction of people about life in permanent danger, the increasing complexity of conditions and events generates the need to work out often not one, but at least a few thought-out strategies adequate to time and spatial conditions, threats, problems and people that these problems and threats relate to or may concern. In addition to a pool of problems and events that we can deal with, predict their occurrence, prevent and counteract, we also have problems and threats that we have just started to recognize. The article focuses on contemporary challenges of education for security and the need to develop each of the competencies separately, emphasizing the impor-tance...

Perkembangan teknologi informasi saat ini sangat pesat hampir disegala aspek kehidupan manusia seperti bidang pendidikan. Salah satu contoh hasil dari perkembangan teknologi informasi dalam bidang pendidikan adalah sistem informasi pengelolaan skripsi pada perguruan tinggi. Pengajuan judul skripsi di Program Studi (Prodi) Teknik Informatika Universitas Kristen Wira Wacana Sumba, dilakukan dengan cara berdiskusi dengan ketua program studi dan menyerahkan judul skripsi untuk melihat kesamaan judul dengan judul skripsi yang sudah pernah diajukan sebelumnya. Informasi mengenai judul skripsi mahasiswa sebelumnya belum  dapat diakses dengan cepat. Hal ini dikarenakan Prodi hanya mempunyai satu tabulasi data untuk menyimpan judul skripsi sehingga Prodi harus mengecek satu persatu judul skripsi dan juga mahasiswa tidak bisa mengakses drive untuk mengetahui judul skripsi yang pernah diajukan sebelumnya sehingga mahasiswa harus mengecek ulang file-file pengumuman terkait judul skripsi sebelum...

Educational institutions, especially Madrasah Ibtidaiyah, many scholarships are offered to prospective students, scholarships are also given to prospective students at Madrasah Ibtidaiyah Al Huda, East Jakarta, namely in the form of superior scholarships, several problems that often occur, for example the selection process is not accurate due to the large number of applicants who must register. according to the existing criteria, so that the selection process requires accuracy and time so this is not effective. Decision support applications are a way of dealing with the problem of determining scholarships at the Madrasah Ibtidaiyah. This application uses Simple Additive Weighing (SAW), chosen because this method determines the weight of each predetermined criterion then proceeds with the normalization process and continues with the ranking process to select the best alternative. The results of this study are a decision support system in the classification of scholarship recipients u...

Dosen merupakan tenaga akademik yang bertugas merencanakan dan melaksanakan proses pembelajaran, bimbingan dan pelatihan, serta mampu untuk membawa mahasiswa kedalam kegiatan-kegiatan yang diadakan dari pihak Universitas baik resmi maupun non-resmi. Pemilihan dosen favorit pilihan mahasiswa dapat memacu dosen untuk lebih berkomunikasi pada mahasiswa untuk dapat mengajak mahasiswa berperan dalam kelompok atau organisasi melibakan mahasiswa dan dosen. Namun, pada kenyataannya, Universitas Muhammadiyah Pontianak masih belum aktif melaksanakan pemilihan ini. Untuk mengatasi permasalahan tersebut, maka dirancang sebuah Sistem Pendukung Keputusan penentuan dosen favorit pilihan mahasiswa dengan menggunakan metode profile matching. Sistem Pendukung Keputusan Penentuan Dosen Favorit Pilihan Mahasiswa ini merupakan suatu sistem yang mampu meningkatkan kemudahan dalam pemberi keputusan dalam penentuan Dosen yang memiliki daya tarik mahasiswa agar mahasiswa lebih aktif dan lebih kompeten dalam bimbingan Dosen pilhan tersebut. Pada sistem ini penilaian dosen berdasarkan empat aspek. Aspek yang digunakan yaitu aspek pedagogik, aspek profesionalisme, aspek kepribadian, dan aspek sosial. Untuk mendapatkan hasil kesimpulan akhir sebagai alternatif keputusan untuk menentukan dosen pilihan ini membutuhkan tahap proses perhitungan pada setiap variabel yang sudah ditentukan berdasarkan aspek dan kriteria yang ditetapkan oleh pihak Lembaga perguruan tinggi. Posisi sistem penfukung keputusan dalam penelitian ini adalah sebagai pendukung keputusan bukan menggantikan peran pengambill keputusan (decision maker), sehingga decision maker berhak mengacu sepenuhnya pada sistem pendukung keputusan atau tidak. Hasil penelitian dari metode profile matching yang telah diperhitungkan dapat disimpulkan bahwa dosen favorit pilihan mahasiswa adalah dosen 2 dengan hasil skor 4,3290 yang merupakan hasil ranking tertinggi dan dapat dijadikan alternatif untuk penentuan dosen favorit pilihan mahasiswa.

The Internet of Things (IoT)—sensors and actuators connected by networks to computing systems—has received enormous attention over the past five years. A new McKinsey Global Institute report, The Internet of Things: Mapping the value beyond the hype, attempts to determine exactly how IoT technology can create real economic value. Our central finding is that the hype may actually understate the full potential—but that capturing it will require an understanding of where real value can be created and a successful effort to address a set of systems issues, including interoperability. To get a broader view of the IoT’s potential benefits and challenges across the global economy, we analyzed more than 150 use cases, ranging from people whose devices monitor health and wellness to manufacturers that utilize sensors to optimize the maintenance of equipment and protect the safety of workers. Our bottom-up analysis for the applications we size estimates that the IoT has a total potential econ...

Madrasah Aliyah Al-Karim merupakan salah satu sekolah madrasah yang terdapat di Kabupaten Bengkulu Tengah. Pada sekolah tersebut setiap 1 tahun sekali diadakan program beasiswa, salah satunya adalah beasiswa tidak mampu. Selama ini proses pengelolaan data calon penerima beasiswa dilakukan mulai dari pengumpulan berkas calon penerima beasiswa, kemudian mengisi nama-nama calon penerima beasiswa tersebut di Microsoft Word. Setelah itu dilakukan penilaian terhadap data calon penerima beasiswa tersebut agar dapat diketahui hasil akhir siapa saja yang layak dan tidak layak mendapatkan beasiswa tersebut. Perbandingan metode Simple Additive Weigthing dan Fuzzy Multi Criteria Decision Making dalam penentuan penerima beasiswa pada Madrasah Aliyah Al-Karim dilakukan dengan membandingkan hasil akhir dan waktu proses yang didapatkan dari hasil penerapan kedua metode tersebut berdasarkan data penilaian masing-masing calon penerima beasiswa. Dalam membantu proses perbandingan kedua metode tersebut, dibangun suatu aplikasi menggunakan bahasa pemrograman Visual Basic .Net dan database SQL Server, di mana dengan adanya aplikasi akan terlihat hasil perbandingan dari metode Simple Additive Weigthing dan Fuzzy Multi Criteria Decision Making. Berdasarkan pengujian black box yang telah dilakukan, didapatkan hasil yaitu Fungsionalitas dari aplikasi berjalan sesuai dengan harapan

Program Keluarga Harapan merupakan bantuan sosial yang diperuntukan bagi keluarga miskin yang telah memenuhi syarat serta telah ditetapkan sebagai Keluarga Penerima Manfaat. Tujuan dari program bantuan ini adalah membantu keluarga miskin dalam meningkatkan taraf hidup melalui akses layanan pemerintah berupa layanan pendikikan, layanan Kesehatan dan layanan kesejahteraan sosial. Akan tetapi dalam prosesnya masih terdapat kendala salah satunya dalam penentuan penerima pkh dikarenakan proses penentuan masih dilakukan secara manual serta data yang diberikan relatif sama satu dengan yang lain sehingga sulit untuk menentukan mana yang lebih membutuhkan. Penggunaan sistem prediksi diharapkan mampu menjadi sebuah solusi dari permasalahan yang dihadapi. Logika Fuzzy merupakan salah satu metode yang bisa digunakan dalam proses penentuan calon penerima. Dalam penggunaanya logika fuzzy model mamdami memiliki empat tahapan yang harus dilakukan, mulai dari tahapan pembentukan himpunan fuzzy, apli...

Kebutuhan Bahan Bakar Mesin dari masyarakat terus meningkat, hal ini juga terjadi bagi masyarakat pinggir kota.Untuk memenuhi kebutuhan Bahan Bakar Mesin yang ada dipinggir kota, maka Pertamina memberikan sebuah program bagi masyarakat untuk mendirikan SPBU mini dengan modal yang kecil, program ini dinamakan dengan Pertashop. Pertashop akan melakukan Pasokan satu bulan satu kali ke pihak pertamina. Namun dalam proses seupply proses perhitungan masih sering kurang tepat sehingga membuat pertashop mengalami kekurangan stok. Untuk mengatasi hal tersebut yang dapat dilakukan adalah dengan menentukkan Pasokan yang dibutuhkan pada sebuah SPBU atau Pertashop pada periode selanjutnya. Logika Fuzzy yang dipilih sebagai metode untuk menentukan Pasokan pada Pertashop agar mengurangi terjadinya kehabisan stok. Metode yang dipilih dalam menentukan Pasokan pada pertashop adalah Logika Fuzzy. Logika fuzzy memiliki Sistem Interferensi Fuzzy yang memberikan sebuah aturan dalam logika Fuzzy. Sistem I...

The Indonesia government has started to prepare the strategies by setting the new policies regarding the spread of the coronavirus (Covid-19) since the first case was found on March, 2nd 2020. One of those policies is appealing to all government staffs/State C3il Apparatus and pr3ate employees to apply the system of remote working (Work from Home). To support the act3ity of remote working, the employees have been using some applications for online meetings to communicate with colleagues, superiors, and business partners in resolving the workloads without direct physical contacts. These applications needed are Zoom, Google Meet, Skype, and Webex. The writer conducted a study using the Analytical Hierarchy Process (AHP) method to determine the selection of the appropriate application for online meetings according to the priority criteria required by the employees who work at home. AHP method can provide the best order that will produce criteria and alternat3es with the highest values....

Educational institutions, especially Madrasah Ibtidaiyah, many scholarships are offered to prospective students, scholarships are also given to prospective students at Madrasah Ibtidaiyah Al Huda, East Jakarta, namely in the form of superior scholarships, several problems that often occur, for example the selection process is not accurate due to the large number of applicants who must register. according to the existing criteria, so that the selection process requires accuracy and time so this is not effective. Decision support applications are a way of dealing with the problem of determining scholarships at the Madrasah Ibtidaiyah. This application uses Simple Additive Weighing (SAW), chosen because this method determines the weight of each predetermined criterion then proceeds with the normalization process and continues with the ranking process to select the best alternative. The results of this study are a decision support system in the classification of scholarship recipients u...

In this paper we posit that current investigative techniques-particularly as deployed by law enforcement, are becoming unsuitable for most types of crime investigation. The growth in cybercrime and the complexities of the types of the cybercrime coupled with the limitations in time and resources, both computational and human, in addressing cybercrime put an increasing strain on the ability of digital investigators to apply the processes of digital forensics and digital investigations to obtain timely results. In order to combat the problems, there is a need to enhance the use of the resources available and move beyond the capabilities and constraints of the forensic tools that are in current use. We argue that more intelligent techniques are necessary and should be used proactively. The paper makes the case for the need for such tools and techniques, and investigates and discusses the opportunities afforded by applying principles and procedures of artificial intelligence to digital forensics intelligence and to intelligent forensics and suggests that by applying new techniques to digital investigations there is the opportunity to address the challenges of the larger and more complex domains in which cybercrimes are taking place.

Sekolah Menengah Kejuruan adalah pendidikan menengah yang memprioritaskan pengembangan kemampuan siswa untuk melakukan jenis pekerjaan tertentu. Dalam kurikulum memprioritaskan persiapan siswa untuk bekerja dalam pekerjaan dan mengembangkan sikap profesional. Sesuai dengan bentuknya, sekolah menengah kejuruan mengatur program pendidikan dengan berbagai jenis pekerjaan. Metode: Dalam hal ini, SMK Tamansiswa Kudus telah menyelenggarakan program pendidikan kejuruan. Siswa memilih keterampilan baru atau program kompetensi departemen sesuai dengan keinginan dan berdasarkan nilai akademik. Dalam proses pemilihan program atau jurusan kompetensi, siswa dalam memilih terkadang tidak sesuai dengan kemampuan bakat bakat yang dimiliki oleh siswa. Untuk membangun sistem ini diperlukan kriteria paramater diantaranya adalah nilai akademik, nilai psikotest dan nilai minat bakat. Tujuan menggunakan sistem pendukung keputusan ini adalah untuk mengurangi ketidaksesuaian antara siswa dengan program atau departemen yang dipilih pada daftar pertama kali. Hasil dari sistem pendukung keputusan ini, untuk menentukan keterampilan alternatif atau program kompetensi jurusan sesuai dengan kemampuan akademik, psikologi dan bakat calon siswa yang akan mendaftar. Dan disarankan untuk tidak bersikeras memilih program keterampilan kompetensi yang dihasilkan dari sistem pendukung keputusan.

Pengujian tanah sangat perlu dilakukan karena tanah yang di atas struktur yang mempunyai beban (beban lalu lintas yang dilewati) wajib untuk melakukan tes uji. Tanah berguna untuk mengetahui daya dukung tanah sebagai pondasi konstruksi sehingga tanah bertujuan untuk timbunan jalan dan jembatan. Selama masa pengujian tanah membutuhkan waktu selama 14 hari kerja pelaksanaan proses dan waktu tersebut cukup lumayan lama sehingga mendapatkan hasil yang diharapkan. Untuk mengetahui lulus tes uji tersebut maka bahan yang ingin di uji harus sesuai dengan klasifikasi metode SNI. Pada penelitian ini, digunakan metode forward chaining. Berdasarkan data yang ada maka sistem dapat memberikan rekomendasi yang disarankan berdasarkan indikator yang telah disediakan serta berhasil menerapkan metode forward chaining dalam mempersiapkan bahan uji terhadap konsumen. Aplikasi sistem pakar untuk persiapan bahan uji terhadap konsumen pada pengujian akurasi sistem menghasilkan persentase yaitu 90% akurat dan melakukan pengujian blackbox yang telah sesuai.

Salah satu faktor penghambat kualitas ikan arwana yaitu penyakit. Minimnya pengetahuan pembudidaya ikan arwana tentang jenis penyakit pada ikan arwana serta cara pengendaliannya menjadi kendala dalam budidaya ikan arwana. Dalam hal ini sistem pakar dapat digunakan untuk mendiagnosa penyakit pada ikan arwana. Sistem pakar merupakan sistem yang mengambil pengetahuan manusia yaitu pakar atau ahli dan memadukannya dengan komputer dalam menyelesaikan suatu masalah. Untuk mempermudah pembudidaya ikan arwarna dalam mendiagnosa penyakit ikan arwana digunakan metode Certainty Factor dalam sistem pakar. Metode ini menunjukkan ukuran kepastian atau ketidakpastian terhadap suatu fakta atau aturan. Tujuan dari penelitian ini adalah dapat memberikan hasil diagnosa serta dapat memberikan solusi terhadap masalah penyakit pada ikan. Sistem ini dibuat agar pembudidaya yang akan memulai budidaya dapat mengetahui kondisi kesehatan pada ikan arwana. Berdasarkan perhitungan sistem pakar ini didapatkan nilai maximum CF sebesar 0.6 atau 60% dengan penyakit gatal. Dari hasil pengujian tingkat akurasi sistem dengan pakar menggunakan sample ikan 1 sampai dengan 20 terdapat 14 ekor ikan arwana yang memiliki diagnosa ikan yang sesuai dengan pakar dan 6 ekor ikan yang tidak sesuai yaitu pada sample ke-5, ke-12, ke-13, ke-17, ke-18 dan ke-20. Dari hasil perhitungan gejala yang sesuai dari pakar maka didapatkan nilai 70% kesesuaian gejala pada ikan arwana dan nilai ketidakcocokan gejala yang tidak sesuai dari pakar didapatkan nilai 30%

Penerapan metode ELECTRE dalam sistem pendukung keputusan ini digunakan untuk memberikan rekomendasi judul skripsi kepada mahasiswa prodi Teknik Informatika Universitas Muhammadiyah Pontianak. Sistem ini bertujuan untuk memberikan rekomendasi bukan untuk menentukan judul skripsi dengan lima kriteria yang telah ditetapkan yaitu nilai akademik, history projects, penelitian, pelatihan dan minat serta alternatif berupa judul skripsi yang dapat diinputkan berdasarkan keinginan user yaitu mahasiswa. Metode ELECTRE banyak digunakan dalam penelitian dengan kasus yang lebih banyak melibatkan alternatif daripada kriteria, sehingga cocok digunakan dalam penelitian ini. Berdasarkan hasil perhitungan ELECTRE didapatkan satu dari empat data alternatif yang direkomendasikan untuk dijadikan judul skripsi karena memiliki nilai 1 dan alternatif lainnya memiliki nilai 0 sehingga nilai 0 tersebut dieliminasi dan tidak dapat dijadikan rekomendasi. Penelitian ini melibatkan 20 orang responden yaitu mahas...

Skripsi merupakan salah satu syarat kelulusan untuk memperoleh gelar sarjana strata satu. Oleh sebab itu, pemilihan dosen pembimbing skripsi yang sesuai dengan minat mahasiswa sangat diperlukan. Hal ini tidak lain agar dapat memacu mahasiswa untuk terus bersemangat mengerjakan skripsinya. Umumnya, pemilihan dosen pembimbing skripsi diputuskan oleh pihak program studi lewat rapat para dosen untuk menentukan dosen mana yang sesuai dengan judul dan deskripsi dari mahasiswa yang mengambil mata kuliah skripsi tersebut. Guna menanggulangi masalah di atas, maka diperlukan sebuah sistem yang mampu memberikan keputusan yang tepat dan cepat dalam memilih dosen pembimbing skripsi sesuai dengan minat mahasiswa. Tahapan-tahapan dalam penelitian ini dimulai dari analisa masalah, analisa kebutuhan, desain sistem, implementasi, pengujian dan perawatan sistem. Penentuan kriteria didasarkan kepada jumlah minat yang ada di program studi Teknik Informatika UM Pontianak sedangkan penentuan alternatif di...