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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI IJID (International Journal on Informatics for Development) IJISTECH (International Journal Of Information System & Technology) Journal of Information System, Applied, Management, Accounting and Research Jurnal Pendidikan dan Konseling Jurnal Sains dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Khatulistiwa Just TI (Jurnal Sains Terapan Teknologi Informasi) Jurnal Pengabdian Nasional (JPN) Indonesia IJISTECH Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Sosial dan Teknologi International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Nasional Teknologi Komputer Innovative: Journal Of Social Science Research IIJSE Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia
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Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
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Implementasi Metode Naïve Bayes Dalam Penilaian Kinerja Sales Marketing Pada PT. Pachira Distrinusa Senika, Anis; Rasiban, Rasiban; Iskandar, Dadang
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3331

Abstract

This study aims to build an information system that can support companies in making decisions, especially regarding sales assessment at PT. Pachira Distrinusa. This is motivated by the difficulty of determining whether or not a sales person deserves an efficient value, because the system is not yet computerized and employee data documents are piled up. In this study, the data used are assessment data at PT. Pachira Distrinusa and the method used is the Naïve Bayes Classifier algorithm. And to find out how well the Naïve Bayes Classifier algorithm is used in this study, the RapidMiner calculation is used to perform the test. From the test in RapidMiner, the accuracy value is 91.67% and the ROC value is 0.979, which means that the Naïve Bayes Classifier algorithm is very well used in this study. After testing using RapidMiner software and getting the test results, then it is implemented into a system using PHP and MySQL which is designed to predict sales assessments. The prediction results obtained from the system are in accordance with the calculation results obtained from RapidMiner calculations and manual calculations. Based on the research that has been done that the decision support system built can be applied to PT. Pachira Distrinusa so as to make it easier to determine the feasibility of the sales assessment at PT. Pachira Distrinusa efficiently.
Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.203

Abstract

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.
IMPLEMENTASI TINGKAT KESEHATAN TANAMAN DALAM KELOMPOK KEGIATAN RW 013 JATINEGARA JAKARTA TIMUR BERBASIS ANDROID Dadang Iskandar Mulyana; Rasiban Rasiban; Tri Wahyuni; Ikha Novie Tri Lestari; Feni Citra Dewi; Nunung Parawati; Sartika Mala
Jurnal Pengabdian Masyarakat Khatulistiwa Vol 5, No 1 (2022): APRIL
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpmk.v5i1.1536

Abstract

ABSTRACTRawa Badung Village RT 009/RW 013, Jatinegara sub-district, Cakung sub-district, East Jakarta. Utilizing vacant land to carry out farming activities such as growing kale, mustard greens, spinach, long beans, chilies, bitter melon, and cassava. In terms of managing watering absences and plant health, it can still be done manually using a manual. The process method or steps in collecting the required data from all system elements to be implemented as software, and collecting data on Android-based plant health. Tests are carried out using a soil pH measuring device to obtain data that will be input into the application. Humidity sensor testing is carried out to determine the temperature and humidity of the air around the plants being monitored. With this application, you can find out soil conditions by displaying information on soil conditions (pH, humidity, temperature and lighting). With this application, you can find information data on active PKK members and information on types of plants in the RW 13 garden.Keywords: Android, Moisture Sensor, Health, Garden.ABSTRAKKampung Rawa Badung RT 009/RW 013 kelurahan Jatinegara, kecamatan cakung Jakarta Timur. Memanfaatkan lahan kosong untuk melakukan kegiatan bercocok tanam seperti bercocok tanaman kangkung, sawi, bayam, kacang panjang, cabe, pare, dan singkong. Dalam hal pengelolaan absensi penyiraman dan kesehatan tanaman, masih dapat dilakukan secara manual dengan menggunakan buku panduan. Metode proses atau langkah-langkah dalam kumpulkan data yang di butuhkan dari semua elemen sistem untuk diterapkan sebagai perangkat lunak, dan kumpulkan data tentang kesehatan tanaman berbasis android. Pengujian di lakukan menggunakan alat pengukur Ph tanah untuk mendapatkan data yang akan di input ke dalam aplikasi. Pengujian sensor kelembaban di lakukan untuk mengetahui suhu beserta kelembaban udara disekitaran tanaman yang di monitor. Dengan adanya aplikasi ini dapat mengetahui kondisi tanah dengan menampilkan informasi kondisi tanah (ph, kelembapan suhu dan pencahayaan). Dengan adanya aplikasi ini bisa mengetahui data informasi anggota ibu PKK yang aktif dan data informasi jenis tanaman yang ada di kebun rw 13.Kata Kunci: Android, Moisture Sensor, Kesehatan, Kebun.
Optimasi Akurasi Deteksi Tanaman-Tanaman Obat Biofarmaka Dengan Convolutional Neural Network Asep Maulana; Rasiban Rasiban; Dadang Iskandar Mulyana
Just TI (Jurnal Sains Terapan Teknologi Informasi) Vol 14, No 1 (2022): Januari 2022
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/justti.v14i1.786

Abstract

Tanaman obat sangat populer digunakan terutama sebagai bahan baku obat tradisional dan jamu. Tanaman ini jika dikonsumsi akan meningkatkan sistem kekebalan tubuh (immune system), karena mempunyai sifat spesifik sebagai tanaman obat yang bersifat sebagai pencegahan dan promotif melalui kandungan metabolit sekunder seperti gingerol pada jahe yang mampu meningkatkan sistem imun pada tubuh. Di Indonesia tanaman obat juga dikategorikan sebagai tanaman biofarmaka yang meliputi 15 (lima belas) jenis tanaman yaitu, jahe, laos/lengkuas, kencur, kunyit, lempuyang, temulawak, temuireng, temu kunci, dlingo/dringo, kapulaga, mengkudu/pace, mahkota dewa, kejibeling, sambiloto, dan lidah buaya. Namun banyak masyarakat terutama yang ada di perkotaan tidak mengetahui tanaman obat biofarmaka karena banyak jenis yang tidak umum dijumpai di pasar atau swalayan sehingga terkendala untuk mengenali ataupun mendapatkannya. Tujuan penelitian ini adalah mengklasifikasikan tanaman obat biofarmaka menggunakan algoritma CNN dan dapat mengenali jenis tanaman obat berdasarkan karakteristik citra dengan tingkat akurasi tinggi. Deep learning membuat sebuah komputer belajar mengklasifikasi secara langsung dari gambar. Dalam hal ini peneliti menggunakan model Sequential dan on top VGG16 yang merupakan model dari algoritma CNN (Convolutional Neural Networks) salah satu neural network yang ada pada deep learning untuk mengklasifikasikan tanaman obat secara otomatis dengan 12 (dua belas) variabel penelitian menggunakan data training berjumlah 1645 citra dan data testing 360 citra. Berdasarkan hasil penelitian model on top VGG16 memiliki tingkat akurasi yang lebih baik yaitu 98.333% dengan loss 0.086 dibandingkan dengan model Sequential yang menghasilkan tingkat akurasi 96.111% dengan loss sebesar 0.193.
Analisis Sentimen Terhadap Vaksin Covid-19 di Indonesia pada Twitter Menggunakan Metode Lexicon Based Putri Amira Sumitro; Rasiban; Dadang Iskandar Mulyana; Wahyu Saputro
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 2 No 2 (2021): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v2i2.4009

Abstract

Increasing the number of cases of Covid-19 in Indonesia, the Government of Indonesia has made various efforts in handling Covid-19, one of which is the policy of Covid-19 vaccine for all indonesian people. With this policy, many people express their opinions through Twitter. The purpose of this sentiment analysis research is to find out public opinion about the policy of vaccine covid-19 on Twitter whether the opinion falls into the class of sentiment that is categorized into 5 namely very positive sentiment, positive sentiment, negative sentiment, somewhat negative or neutral sentiment and know the accuracy of the percentage of each class of polarity. Lexicon based research method using vader sentiment library. Vader sentiment, which is a lexicon-based method of analysis based on rule-based sentiment analysis. Based on the accuracy of the percentage obtained by positive sentiment as much as 20.25%, somewhat positive as much as 23.9%, negative as much as 1.88%, somewhat negative as much as 9.6% and neutral as much as 44.36%. It can be concluded that public opinion on the Covid-19 vaccine on Twitter using lexicon-based methods by utilizing vader sentiment library is mostly neutral.
Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.383 KB) | DOI: 10.30645/ijistech.v5i6.203

Abstract

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.
Implementasi Aplikasi Pelayanan Warga Berbasis Android Berbasis User Centered Design Rasiban Rasiban; Dadang Iskandar Mulyana; Sri Lestari; Muhammad Fakhri Pratama; Yansen Yansen
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3912

Abstract

Technological developments in the modern era as it is today, there have been many innovations from scientists, communities and students to facilitate human activities. The results of this innovation are expected to help people's daily activities. However, there have not been many innovations that can facilitate human work, one of which is in the field of citizen services, such as the area of Rt 007 Rw 014 Kelurahan Pgilan, East Jakarta, which is currently trying to develop into a more developed and better area. The analytical method and technique used in this research is a SWOT analysis, by looking at the company's business needs and objectives. So the researcher aims to develop an Android-based application for the citizen service information system, because it will be very helpful in the citizen data storage system, as well as other citizen services directly in the citizen service application. And it can be directly accessed by the head of Rt 007. In making this Android-based application, the Java programming language is used as the Sharedpreferences database. With this citizen service application system, it is hoped that it will make it easier for the people of Rt 007 who are involved in data management and the head of Rt 007 or other management can monitor the application of citizen services
The best employee selection decision support system using simple additive weighting method in warehouse PT. Global Jet Commerce Yusuf Pascal Ramadhan; Rasiban Rasiban
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 6 No 4 (2022): JISAMAR : November 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i4.886

Abstract

PT. Global Jet Commerce merupakan salah satu perusahaan dibidang E-Commerce yang mempunyai karyawan kurang lebih 500 orang. Jet Commerce sendiri memiliki permasalah dalam menentukan karyawan terbaik yang akan diberikan bonus yang biasa nya diberikan setiap 1 tahun sekali. Penentuan karyawan terbaik di Jet Commerce selama ini masih dilakukan dengan prosedur baku yang berarti kurang efisien, cepat dan akurat seperti salah satunya penilaian masih dilakukan secara manual serta indikator penilaian yang masih berdasarkan faktor kedekatan. Selama ini proses seleksi karyawan terbaik dilakukan pemilihan dari kriteria yang sudah ditentukan hasil pemilihan tersebut dibandingkan dengan karyawan yang satu dengan lainnya untuk menentukan karyawan terbaik. Akibat semakin banyak karyawan, maka semakin lama proses seleksi karyawan dalam hal membandingkan nilai kriteria karyawan. Dalam hal ini model yang digunakan untuk membangun sebuah sistem penunjang keputusan adalah Simple Additive Weighting. Metode SAW digunakan karena metode ini memiliki keunggulan diantaranya mudah di mengerti, lebih fleksibel, dapat melakukan pembelajaran berdasarkan pengetahuan dan pengalaman manusia dalam memecahkan suatu masalah.
Pengenalan Pola Huruf Hangeul Korea Menggunakan Jaringan Syaraf Tiruan Metode Backpropagation dan Deteksi Tepi Canny Radikto Radikto; Rasiban Rasiban
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 5 (2022): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i5.6722

Abstract

Banyaknya jumlah penduduk indonesia dibarengi dengan dengan perkembangan teknoologi sehingga banyak mengakses dan menerima informasi banyak dari dalam negeri maupun luar negeri. Fenomena Korean wave salah satu contohnya. Korean wave sangat identik dengan dunia hiburan dan budaya korea dan mengimplementasikan dalam kehidupan sehari-hari salah satu contohnya mempelajari bahasa korea itu sendiri, yaitu hangeul. Hangeul berbeda dengan huruf alphabet. Pengenalan pola huruf hangeul bisa dilakukan dengan bantuan komputer sehingga diharapkan membantu dalam mempelajari huruf hangeul sesuai kebutuhan. Salah satu metode yang digunakan ialah dengan jaringan syaraf tiruan backpropagation dan deteksi tepi canny. Penelitian ini menggunakan dataset huruf hangeul sebanyak 195 citra termasuk data latih dan data uji. Dari hasil pelatihan dengan jumlah 120 citra menghasilkan akurasi 99,1% dengan 100 neuron pada hidden layer 1 dan 50 neuron hidden layer 2 dan maksimum epoch 1000. Hasil pengujian dengan jumlah 75 citra menghasilkan 90,67%. (Calibri 11, reguler, spasi 1, spacing before 6 pt, after 6 pt)
Klasifikasi Sistem Pakar Mendiagnosa Penyakit Batu Ginjal dengan Metode Forward Chaining Evan Donaldo; Rasiban Rasiban
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 5 (2022): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i5.6733

Abstract

penyakit Ginjal sebagai sampel penelitian ini, didasari oleh alasan bahwa ginjal merupakan salah satu organ penting dalam sistem metabolisme tubuh kita, karena padatnya aktivitas, kita sering lupa untuk menjaganya. Pola makan yang tidak teratur, kurangnya asupan serat dan air mineral, serta konsumsi makanan atau minuman instan berkalori tinggi, tanpa sadar telah memperberat kerja ginjal. Mulai dari proses filtrasi, reabsorpasi, sampai augmentasi dari zat-zat makanan yang di bawah ke ginjal melalui darah. Beberapa penelitian dibidamg kesehatan sebelumnya telah dilakukan pembuktian bahwa sistem pakar memang dibutuhkan untuk memberikan informasi kesehatan. Hasil penelitian yang dilakukan.Menujukn sistem pakar mendiagnosis penyakit pada ginjal dengan metode forward chaning berbasis web menunjukan data yang cukup valid dan sesuai dengan yang direkomendasikan oleh pakar. Perbedaan penelitan ini dengan penelitian sebelumnya telah mengunakan dengan forwad chaining untuk mendiagnosis penyakit ginjal berbasis web. Sistem pakar ini menyediakan informasi mengenai gejala, penyebab serta pengobatan herbal bagi penyakit yang terindikasi penyakit ginjal.
Co-Authors Amalia, Ghina Amir Tengku Ramly Arjun Fricco Aryanti, Putri Gea Asep Maulana Aulia, Mutia Dwi Banase, Samuel Figo Beatrice Yrain Bening Sari Purnomo Bila, Septiyana Bimantoro, Dava Sevtiandra Boangmanalu, Raya Fitri Dadang Iskandar Mulyana` Evan Donaldo Febryan Bayu Pratama Feni Citra Dewi Firdaus, M. Aziz Hanif, Zuhdi Hutagalung, Julinar Sari Ikha Novie Tri Lestari Imam Muftadi Julinar Sari Hutagalung Kurniawan Setyo Nugroho Megawati - Megawati Megawati Miftahul Jannah Ahyana Puteri Kharisha Muhammad Alfin Najib Muhammad Fakhri Pratama Muhammad Ilham Fadillah Muhammad Jardine Ramaddhani Najib, Muhammad Alfin Nugraha, Pramudya Nunung Parawati Pradita, Anggi Puteri Kharisha, Miftahul Jannah Ahyana Putri Amira Sumitro Rachmat Hidayat Insani Radikto Radikto Rahmah, Andini Raya Fitri Boangmanalu Rizal, Saepul Rizki Ananda Pratama Rudi Tri Jaya S Sutisna Samuel Praja Raymond Maruli Saputra, Hendra Ekky Sarimole, Frencis Matheos Sartika Mala Senika, Anis Setya Permana Sutisna SOPAN ADRIANTO Sri Lestari Sri Lestari Sugeng Riyadi Sumabrata, Raden Muhammad Jachfitrah Ardhi Sutisna Sutisna, Nandang Tri Wahyudi Tri Wahyudi Tri Wahyudi Tri Wahyuni Triwahyudi, Triwahyudi Tundo, Tundo Untung Suropati Wahab, Adnan Wahyu Saputro Wahyudi, Ahmad Arif Yansen Yansen Yuliansyah, Ahmad Fauzan Yusuf Pascal Ramadhan