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All Journal Jurnal Penelitian Pertanian Terapan Jurnal CoreIT Jurnal Pengabdian Nasional Internet of Things and Artificial Intelligence Journal Proceeding Applied Business and Engineering Conference ROUTERS: Jurnal Sistem dan Teknologi Informasi
Widyawati, Dewi Kania
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PENDAMPINGAN DIGITAL MARKETING PADA PELAKU UMKM DALAM UPAYA PENINGKATAN EFISIENSI PENJUALAN DI ERA TRANSISI MENUJU ENDEMI COVID-19 noer, irmayani; Ambarwari, Agus; Widyawati, Dewi Kania; Yuniarti, Evi
Jurnal Pengabdian Nasional Vol 3 No 2 (2022)
Publisher : Politeknik Negeri Lampung

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Abstract

Usaha Mikro Kecil Menengah (UMKM) merupakan sektor penting penunjang perekonomian masyarakat. Pandemi Covid-19, berdampak negatif berupa penurunan pendapatan secara drastis akibat kendala pemasaran produk. Setelah lebih dari 2 (dua) tahun, kondisi new normal saat ini mengakibatkan kebiasaan hidup masyarakat yang sangat tergantung pada pemanfaatan teknologi informasi.  Adaptasi kehidupan di masa transisi memberikan manfaat salah satunya adalah digitalisasi pemasaran.  Pendampingan bagi mitra UMKM untuk mampu bangkit dan berkembang melalui adaptasi teknologi online pada sistem penjualan produk sangat diperlukan, terutama bagi UMKM yang berada di daerah perkotaan dimana ketersediaan akses internet tersedia cukup.  Salah satu UMKM yang mengalami dampak ini adalah UMKM Bunga Bakery Lampung. Kegiatan pendampingan digitalisasi pemasaran dilakukan dalam 3 (tiga) tahapan yaitu tahap edukasi, pendampingan, dan evaluasi keberlanjutan.  Edukasi diberikan untuk meningkatkan pengetahuan dan pemahaman mitra tentang berbagai platform pemasaran digital. Hasil kegiatan menunjukkan bahwa pengetahuan dan pemahaman mitra terhadap digitalisasi pemasaran meningkat. Tahap pendampingan dilakukan dengan praktik pembuatan dan implementasi platform pemasaran digital seperti akun bisnis pada Watsapp, google map, instagram dan facebook yang terintegrasi.  Kegiatan pendampingan dilakukan untuk memastikan bahwa mitra telah mampu mengaplikasikan teknologi dan edukasi yang diberikan. Tahap ketiga adalah evaluasi dan keberlanjutan dengan melakukann pemantauan aplikasi media online yang telah diterapkan oleh mitra.  Kegiatan ini dilakukan untuk memastikan bahwa mitra dapat menerapkan digital marketing secara mandiri dan terus menerus. Pada akhirnya outcomes yang diharapkan dapat dicapai oleh mitra sebagai pelaku UMKM adalah meningkatkan skala ekonomi UMKM. sebagai salah satu penggerak ekonomi di masyarakat.   Kata kunci : endemi covid-19, ekonomi masyarakat, pemasaran digital     
Adoption of Information and Communication Technology to Improve The Performance of Processed Food-Based Msmes In Lampung Province Sutarni, Sutarni; Fitriani, Fitriani; Unteawati, Bina; Widyawati, Dewi Kania
Jurnal Penelitian Pertanian Terapan Vol 23 No 3 (2023)
Publisher : Politeknik Negeri Lampung.

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Abstract

The objectives of this study are (1) analyzing the types and utilization of ICT, (2) analyzing business profits and the effect of ICT adoption on MSME revenue performance, and (3) analyzing factors affecting the ICT adoption of processed food MSMEs in Lampung Province. This research was conducted in Lampung Province, covering Bandar Lampung City, Central Lampung Regency, Pringsewu Regency, South Lampung Regency, Metro City, and Pesawaran Regency. Locasi is determined intentionally (purposive), considering that the location has adequate ICT facilities and access. The samples from this research were MSME actors in the production of superior processed foods, especially banana chips, cassava chips, emping melinjo, tempe chips, eyek-eyek, crackers, jackfruit chips, and kelanting based on the KJPU in Lampung Province. This study used a sample of 40 respondents. This research is a survey method. The data used in this study were divided into two, namely primary data and secondary data. The research data were analyzed descriptively qualitatively and quantitatively. The data are tabulated, mathematically analyzed, and statistically analyzed according to the purpose of the study. The results showed that the highest level of ICT use used by processed food MSMEs in Lampung Province, namely mobile phones, reached 95%. The most widely used social media whatsapp reached 77.5%. The most widely used use of the marketplace is the shoppe marketplace, but the use of the marketplace as a marketing medium for processed food MSME products is relatively low, only reaching 30%. Internet usage is quite high, reaching 82.5% and respondents think that the internet has an important role in marketing products, communicating with customers, and finding packaging information and product labels. Adopsi of ICT by processed food MSMEs in Lampung Province is still relatively low. Business revenues for processed food MSME actors were obtained by IDR 4,213,737.50, business profits obtained by IDR 2,448,951.73 in 2021. The level of ICT use has a significant influence on the performance of Processed Food MSMEs.
PENGUJIAN OTOMATIS SISTEM INFORMASI INDO TOWING DENGAN KATALON STUDIO Mutiara, Mutiara; Qomariyah, Nurul; Widyawati, Dewi Kania
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 2 No. 1, Februari 2024 (Dalam Proses)
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/rt.v2i1.3277

Abstract

The development of web-based and mobile information systems that support various aspects of human work has become the main focus in the current technological era. The importance of automation testing in ensuring software quality is becoming increasingly profound. The quality of these systems is critical to supporting successful business operations. Automation testing using the STLC method and equivalence partitioning technique is applied to ensure the quality of the Indo Towing system. The testing tool used is Katalon Studio, which facilitates the implementation of automated testing with efficiency. Thus, this study emphasizes the importance of automation testing as a crucial step in software development. The results of the implementation of automation testing using Katalon Studio were successfully carried out according to the information system function without any bugs being found in the system. Tests carried out automatically using Katalon Studio can be concluded that the system is running well.
Design and Performance Analysis of a Fuzzy Logic-Based IoT System for Greenhouse Irrigation Control Ambarwari, Agus; Widyawati, Dewi Kania; Putra, Septafiansyah Dwi
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.764

Abstract

Automatic irrigation has long been used to efficiently irrigate large agricultural areas through drip irrigation systems to minimize water wastage. In greenhouse irrigation, computerized control is essential to improve productivity, as conventional control methods that rely on on-off or proportional control are often inefficient. This research introduces a novel approach to monitor greenhouse environmental conditions and control irrigation duration. The monitoring system architecture consists of sensor nodes and a gateway. The irrigation duration control uses a Fuzzy Logic Controller (FLC) based on the Mamdani method. The FLC is implemented on a NodeMCU ESP8266 board integrated with a DHT22 sensor and a soil moisture sensor. Temperature and soil moisture parameters are used as inputs for the fuzzy logic system in determining the appropriate irrigation duration. The linguistic variables used in the fuzzy membership function include soil moisture (categorized as water, wet, and dry), temperature (categorized as cold, normal, and hot), and watering time (categorized as zero, short, medium, and long). A rule base consisting of nine fuzzy rules was developed based on these membership functions. Experimental results show that the FLC implemented on the NodeMCU ESP8266 has an average accuracy of 99.41% compared to the MATLAB simulation. This shows the fuzzy logic-based system's high accuracy and effectiveness in controlling the duration of greenhouse irrigation. This developed system offers a promising solution to optimize water usage and improve irrigation management in a greenhouse environment.
Classification of Orchid Types using Random Forest Method with HOG Features Arifin, Oki; Widyawati, Dewi Kania; Zuriati, Zuriati; Maulini, Rima; Sahlinal, Dwirgo; Sylvia, Sylvia
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Orchids are one of the Indonesian people's most widely cultivated ornamental plants. Orchids are a family ofplants in the Orchidaceae family that includes more than 700 genera and around 28,000 individual species. In terms ofplant morphology, orchids can be distinguished based on the morphology of flowers, leaves, fruits, stems, and roots.Orchid leaves have their characteristics for each type of orchid, such as long, round, or lanceolate. All orchids have leafveins that are parallel to the leaves. This makes it difficult to identify the type of orchid flower, especially for laypeopl ewho are new to orchid cultivation and do not yet know the characteristics of various kinds of orchids. The individualshapes of orchid leaves can be classified using Random Forest and Histogram of Oriented Gradients (HOG). In thisstudy, three types of orchids that are currently popular with orchid lovers were used, namely Cattleya, Phalaenopsis, andVanda orchids taken from public data. The accuracy of this method in classifying orchid types based on leaf morphologycan be measured using a confusion matrix that measures accuracy, precision, recall, and F1-score. The test results showthat this method successfully achieved an accuracy of 98%, with an average precision, recall, and F1-score of 0.98 each.These findings indicate that the model built can classify orchid species with a high level of accuracy based on leafmorphology.
Classification Of Nutrient Deficiency In Lettuce Plants (Lactuca Sativa ) Using Machine Learning Algorithm Zuriati , Zuriati; Widyawati, Dewi Kania; Saputra, Kurniawan; Arifin, Oki
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Plants require appropriate nutrients or nutrients for their growth and development. Inappropriate nutrient levelscan interfere with the plant growth process, resulting in less-than-optimal harvest results. Therefore, it is very importantfor farmers to know the nutrient levels of their plants, neither excessive nor lacking. Identification of nutrient deficienciesin plants such as Lettuce (Lactuca Sativa) traditionally requires careful observation of the physical characteristics of theplant, which is often long-drawn out and stand in need of a high level of accuracy. Leaf color is often used as an indication,for example if it is pale or yellow it can indicate a lack of nitrogen or iron. This requires expertise and experience incultivation for lettuce cultivators. So, a tool is needed that can identify nutrient deficiencies accurately, quickly, and easily.This study aims to overcome this challenge, namely identifying nutrient deficiencies in lettuce plants. This approach utilizesmachine learning technology to distinguish four main classes of deficiencies, namely: nitrogen (N), phosphorus (P), andpotassium (K), as well as normal or healthy lettuce leaf conditions. The proposed research method consists of the followingstages: 1). Lettuce leaf image dataset collection, 2). Preprocessing dataset, 3). Implementation of machine learning usingthe Support Vector Machine (SVM) algorithm. In the implementation of SVM, experiments were carried out by applyingvarious SVM kernel spesifically: Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid, 4). Evaluation of modelperformance. Model performance was evaluated by measuring its level of accuracy in classifying nutrient deficiencies inLettuce leaf image data. The results of the experiment showed that SVM with the RBF kernel had the best accuracy, namely:92%. The findings of this study provide valuable insights into the effectiveness of machine learning approaches inclassifying nutrient deficiencies in Lettuce plants. This study can help farmers to optimize their crop production moreefficiently and accurately.
The Implementation of Internet of Things (IOT) for Aquaponic Cultivation Zuriati, Zuriati; Widyawati, Dewi Kania; Dulbari, Dulbari; Zarnelly, Zarnelly
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 10, No 2 (2024): December 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v10i2.29541

Abstract

Aquaponic is a plant cultivation technique that is widely used by farmers and today’s communities due to its efficiency and ability to increase the agricultural productivity. The aquaponic cultivation in general still uses simple systems, such as manually feeding the fish by spreading the feed at predetermined times, monitoring water pH using a pH meter and monitoring water height or level through measurements, requiring farmers to spend time and special labor to care for and maintain plants and fish. Therefore, a solution is needed in the form of a system that can monitor and control plants and fish conditions automatically and continuously for 24 hours. The system should have the ability to control and monitor feeding activities, water pH, water and environmental temperature, water level and environmental humidity. The system in question is the internet of things (IoT) system that can be used as a tool for automatic control and monitoring through an application. The IoT system consists of several sensors that are connected to a microcontroller which can measure water pH, temperature, water level and environmental humidity. The data obtained by the sensor will be sent to a server via Wi-Fi protocol and stored in a database. The system is equipped with a web application that can be accessed through a computer device. The application provides a visual display of data: time, water pH, temperature, water level and environmental humidity, making it easier for farmers to monitor aquaponic conditions from a distance without having to come to the land. Through the implementation of IoT in aquaponic cultivation, farmers can increase efficiency and agricultural productivity by reducing the time, labor and costs required for control and monitoring.
PENDAMPINGAN PEMBUATAN MEDIA PEMBELAJARAN INTERAKTIF BERDIFERENSIASI KURIKULUM MERDEKA BERBASIS DIGITAL PADA SMA PGRI KATIBUNG Arifin, Oki; Widyawati, Dewi Kania; Wibowo, Yusep Windhu Ari; Ikhsan, Fathurrahman Kurniawan; Sylvia, Sylvia; Nurkhotimah, Jihan Susan; Romanda, Novandro; Djangkaru, Elliana
Jurnal Pengabdian Nasional Vol 6 No 1 (2025)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jpn.v5i2.4231

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) dengan melibatkan mitra yaitu SMA PGRI Katibung yang merupakan salah satu sekolah penggerak jenjang SMA yang berlokasi di Desa Tarahan, Kecamatan Katibung, Kabupaten Lampung Selatan, Lampung. Kegiatan PKM dilatar belakangi oleh hasil studi awal bahwa guru di SMA PGRI Katibung belum semuanya mengetahui konsep pembelajaran terdifernsiasi kurikulum merdeka dan belum pernah mendapatkan pelatihan mengenai media pembelajaran interaktif. Selain itu, guru belum memahami konsep dan implementasi pembelajaran terdiferensiasi, guru masih menggunakan pendekatan, media, dan metode mengajar konvensional tanpa melibatkan atau menggunakan media pembelajaran digital. Kemudian yang terakhir, guru belum pernah mengikuti pelatihan pembuatan dan pengembangan media pembelajaran digital interaktif apalagi berbasis teknologi. Tujuan PKM ini adalah untuk mengembangkan media pembelajaran interaktif yang menarik dan relevan untuk meningkatkan kemampuan literasi siswa. Integrasi teknologi dalam pembelajaran diharapkan dapat menciptakan pengalaman belajar yang lebih menarik dan mendukung peningkatan literasi serta numerasi siswa di SMA PGRI Katibung. Metode Pembelajaran yang digunakan adalah 1) Edukasi dan pelatihan, 2) Diskusi dan ceramah, dan 3) Pendampingan pembuatan media pembelajaran interaktif digital. Kata kunci: media pembelajaran, diferensiasi, kurikulum merdeka
Co-Authors Ambarwari, Agus Arifin, Oki Djangkaru, Elliana Dulbari, Dulbari Dwirgo Sahlinal, Dwirgo Fathurrahman Kurniawan Ikhsan Fitriani Fitriani Kurniawan Saputra mutiara mutiara Noer, Irmayani Nurkhotimah, Jihan Susan Nurul Qomariyah Putra, Septafiansyah Dwi Rima Maulini Romanda, Novandro Sutarni, Sutarni Sylvia, Sylvia Unteawati, Bina Wibowo, Yusep Windhu Ari Yuniarti, Evi Zarnelly Zarnelly Zuriati , Zuriati Zuriati, Zuriati