Article Per Year (5 Year)
p-Index From 2021 - 2026
6.893
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA IKRA-ITH Informatika : Jurnal Komputer dan Informatika 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 TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer 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 Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science Jurnal Cendekia Ilmiah
Rasiban
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

Published : 50 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 50 Documents
Search

 1   2   3   4   5 
Pengembangan Media pembelajaran Berbasis Website Pada Pembelajaran Matematika SD Kelas 1 Tri Agus Setiawan; Rasiban; Rizki Ananda Pratama
Jurnal Nasional Teknologi Komputer Vol 2 No 4 (2022): Volume 2 Nomor 4 Oktober 2022
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v2i4.155

Abstract

Web-based learning media utilizes technology. This research aims to assess the feasibility of a web-based learning media for 1st grade elementary school mathematics lessons. The objective is to develop a website as a learning platform for 1st-grade elementary school students in mathematics. The type of research used is research and development, involving three stages: preliminary study, product development, and testing. In this digital era, the use of information technology in education is increasingly crucial, and developing a website as a learning tool can be an effective solution to enhance the quality of mathematics education at the elementary school level. The website is designed to provide interactive mathematics learning content aligned with the educational curriculum. The development process includes analyzing the learning needs of 1st-grade students in mathematics, designing website content and interface, developing the website according to predefined specifications, implementing the website in classroom learning, and evaluating its effectiveness as a learning tool. The study involves 1st-grade elementary school students as trial subjects to assess the impact of the website on their interest and understanding of mathematics. Data collected are analyzed quantitatively and qualitatively to measure the success rate and usability of the website in the context of mathematics learning.
Implementation of Automatic Chicken Coop Temperature Controller Using DHT11 Sensor and Servo Motor Mukminin, Mukminin; Rasiban
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.363

Abstract

This study presents the design, development, and evaluation of an automatic temperature control system for broiler chicken coops using NodeMCU and DHT11 sensors integrated within an Internet of Things (IoT) framework. The system was designed to maintain coop temperature stability automatically, minimizing manual intervention and optimizing environmental conditions for broiler productivity. Using a Research and Development (R&D) approach, the system was constructed with hardware components including NodeMCU ESP8266, DHT11 sensor, servo motor, relay, lamp, and cooling fan, while the software utilized Arduino IDE, Python, and Telegram Bot API for real-time monitoring. The seven-day experimental testing, with thirty readings per day, demonstrated that the system maintained an average temperature of 27.6°C (±0.8°C), achieving 98.5% accuracy compared to manual thermometers, with an average error of 0.65%. The actuators exhibited an average response time of 1.8 seconds, ensuring quick adaptation to environmental changes and preventing heat stress in broilers. The automation reduced manual monitoring time by 80% and inspection frequency by 83%, while lowering energy consumption by approximately 40% through temperature-based device activation. These results confirm that low-cost IoT automation enhances environmental stability, animal welfare, and operational efficiency, aligning with the global trend toward precision livestock farming. Future improvements should focus on integrating multi-node systems, adaptive control algorithms, and humidity regulation to expand scalability, reliability, and sustainability in poultry management.
Sistem Informasi Otomatisasi Pelaporan Data Penjualan Toko Buku Nazwa Yang Masuk Dan Yang Keluar Rasiban; Ade Septiansyah; Septi Hasanah; Veren Nita Permatasari; Agistia Yuliawati
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 8 No. 1 (2024): IKRAITH-INFORMATIKA Vol 8 No 1 Maret 2024
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Praktek kerja yang kami lakukan bertempat di UMKM mikro kecil yaitu di toko buku Nazwa di daerah Jakarta Timur. Pada Praktek kerja ini saya dan teman-teman di minta untuk membuat aplikasi berbasis web. Aplikasi yang diminta oleh kepala pengusaha adalah “pelaporan Data penjualan toko buku Nazwa yang masuk dan Buku yang keluar”. Semakin zaman berkembang kecanggihan teknologi informasi merupakan suatau hal yang penting baik itu untuk individu maupun kelompok. Metode pengumpulan data dilakukan observasi dan wawancara langsung di pusat penelitian untuk memperoleh data yang akurat dan terpercaya. Sedangkan data sekunder menggunakan studi literatur dari berbagai sumber yang berkaitan dengan pertanyaan yang diajukan dalam penelitian tersebut, baik buku, jurnal, artikel, atau sumber online lainnya.Tahap penelitian diawali dengan tahap perencanaan kebutuhan yaitu mengidentifikasi kebutuhan informasi dan permasalahan yang dihadapi untuk menentukan tujuan, batasan sistem, batasan kendala dan alternatif pemecahan masalah.Dari hasil penelitian dapat disimpulkan bahwa sistem pengolahan data persediaan barang menggunakan sistem manual yang membutuhkan waktu yang cukup lama dalam mengolah data serta penyimpanan data.
Analisis Kinerja Naïve Bayes dalam Klasifikasi Produk Terlaris Berdasarkan Data Penjualan dan Interaksi Pengguna pada Toko Babygear.Project Rasiban, Rasiban; Wulandari, Putri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5287

Abstract

This study aims to analyze and classify best-selling and least-selling products in the Babygear.Project store using the Naïve Bayes algorithm. The data used includes sales and user interaction data collected from the store management system, then a preprocessing stage is carried out to ensure data quality before being used in modeling. The testing process is carried out by dividing the dataset into training data and test data using a 60:40 ratio. The test results show that the Naïve Bayes model has an accuracy of 92.68%, with consistently high precision, recall, and F1-score values across both product categories. Further analysis reveals that the features of sales volume, purchase frequency, product category, product price, and user interaction are the most dominant factors in the classification process. The implementation of this model provides strategic benefits, especially in optimizing stock management, promotional planning, and data-driven decision making to improve operational efficiency and customer satisfaction. This study also opens up opportunities for further development, such as the addition of predictor variables, the use of larger datasets, and testing benchmark algorithms to improve prediction accuracy in the future.
PENGENDALIAN PENCEMARAN AIR BERBASIS IOT MENGGUNAKAN ALGORITMA NAIVE BAYES PADA SUNGAI CILIWUNG KALIMALANG JAKARTA TIMUR Rasiban, Rasiban; Imantara, Alaqsha Gilang; Yel, Mesra Betty; Mulyana, Dadang Iskandar
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 1 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/rexwen75

Abstract

Penelitian ini mengembangkan sistem monitoring kualitas air berbasis Internet of Things (IoT) di sungai Cisadane dan Ciliwung yg mengalir diwilayah Kota Bogor. Sistem ini menggunakan mikrokontrolerArduino ESP32 dan platform Blynk untuk memantau parameter suhu, pH, Total Dissolved Solids (TDS) secara real-time yang kemudian diolah hasilnya menggunakan algoritma Naives Bayes. Sensor-sensor dikalibrasi untuk memastikan akurasi dan evaluasi kinerja menggunakan Mean Absolute Percentage Error menunjukkan hasil baik, khususnya pada sensor pH dan TDS. Pengujian lapangan dilakukan pada kondisi cuaca hujan dan panas untuk menilai stabilitas pengukuran. Hasil menunjukkan nilai TDS lebih tinggi pada kondisi panas, pH lebih tinggi saat hujan, sedangkan suhu relatif stabil. Sistem ini memungkinkan masyarakat memantau kualitas air secara mandiri melalui aplikasi, serta mendukung pengelolaan sumber daya air yang berkelanjutan. Implementasi ini menunjukkan potensi teknologi IoT dalam meningkatkan kesadaran dan partisipasi masyarakat terhadap kualitas lingkungan lokal. Kata Kunci: IoT, ESP32, Kualitas Air Limbah, TDS, pH, Blynk Naive Bayes, Monitoring Real-time, Klasifikasi Air.  
Implementation of an Asset Management System Using the Straight-Line Method of Depreciation Based on Odoo 14 CE at PT Forecastle Indonesia Hendra Ekky Saputra; Rasiban
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.2975

Abstract

The purpose of this research is to implement an asset management system based on Odoo 14 Community Edition (CE) using a straight-line method at PT Forecastle Indonesia. Only the straight-line method is chosen as it gives the simple and efficient way to compute the depreciation of the asset over the useful life. Odoo 14 CE is selected for its rich features for asset management for tracking, depreciation calculation, maintenance, and reporting capabilities built in. The study consists of an analysis of the company needs, design based on straight-line method, Odoo 14 CE configuration, and observation and evaluates the implementation results. Key Outcomes: Increased efficiency in managing assets, accurate depredation tracking, reduced manual errors, better inter- department integration. The system is also expected to help prepare reports on assets-financial relations. We will then assess the implementation outputs against improvements in asset management efficiency and effectiveness (e.g. asset condition monitoring, maintenance costs management per asset, asset value tracking). The study will benefit the company by improving its operational and financial performance.
Sentiment Analysis of the Tapera Law on Platform X Using Naive Bayes Algorithm Dava Sevtiandra Bimantoro; Rasiban
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3077

Abstract

The implementation of the 2016 Public Housing Savings Law (UU Tapera) aims to help legal and informal workers have decent houses through the management of housing savings funds by BP Tapera. However, when implemented, this program experienced obstacles amidst various problems including the transparency of the fund collection and management system, the unevenness of benefit provision, and variations in public perception. Sentiment analysis was conducted on Twitter data for sentiment regarding the Tapera Law to obtain public perception with Naïve Bayes. This approach classifies sentiment into positive, negative, and neutral. The accuracy of the Analysis Results was 62.47% (343 negative sentiments, 23 neutral, and finally 32 positive sentiments). The public mostly has negative sentiment towards the Tapera Law, because many of them are afraid of losing justice and effectiveness with this policy. These results underline the need to intensify transparency and communication of the benefits of the Tapera Law and its mechanisms to increase public acceptance and trust.
Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes Pramudya Nugraha; Rasiban; Frencis Matheos Sarimole; Tundo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3020

Abstract

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 :  0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.
Optimasi Deteksi Gerak Bahasa Isyarat dan Ekpresi Wajah Real Time Dengan Metode Random Forest Dadang Iskandar Mulyana; Rasiban; Sutisna; Samuel Figo Banase
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3188

Abstract

Sign language is the primary means of communication for deaf individuals, one of the alternative languages used by people with disabilities, and it has evolved from the deaf community. Sign language has many variations, making it something unfamiliar and difficult to interpret for some hearing or uninitiated people. This research aims to develop a real-time sign language motion and facial expression detection system using the Random Forest method. The main challenge in this detection is the complexity and variation of the movements and facial expressions. In this study, MediaPipe is used to extract features from video input, which are then analyzed using the Random Forest algorithm for classification. In this research, the model's evaluation results use a confusion matrix with testing scenarios based on the division of training and testing data. From the model evaluation results, an accuracy of 99% was achieved. This research is expected to help deaf individuals communicate with hearing people, thereby reducing social gaps.
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 : Universitas 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
Co-Authors Ade Septiansyah Adnan, Kemal Agistia Yuliawati Amalia, Ghina Arjun Fricco Arpinda, Arpinda Aryanti, Putri Gea Asep Maulana Aulia, Mutia Dwi Banase, Samuel Figo Beatrice Yrain Bening Sari Purnomo Betty Yel, Mesra Bila, Septiyana Bimantoro, Dava Sevtiandra Boangmanalu, Raya Fitri Dadang Iskandar Mulyana` Dava Sevtiandra Bimantoro Evan Donaldo Febryan Bayu Pratama Feni Citra Dewi Hanif, Zuhdi Hendra Ekky Saputra Hermawan Susanto Hutagalung, Julinar Sari Ikha Novie Tri Lestari Imam Muftadi Imantara, Alaqsha Gilang 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 Mukminin, Mukminin Najib, Muhammad Alfin Nugraha, Pramudya Nunung Parawati Paidi, Imam Pradita, Anggi Pramudya Nugraha Puteri Kharisha, Miftahul Jannah Ahyana Putri Amira Sumitro PUTRI WULANDARI Rachmat Hidayat Insani Radikto Radikto Rahmah, Andini Raya Fitri Boangmanalu Rizki Ananda Pratama Rudi Tri Jaya S Sutisna Samuel Figo Banase Samuel Praja Raymond Maruli Saputra, Hendra Ekky Sarimole, Frencis Matheos Sartika Mala Senika, Anis Septi Hasanah Setya Permana Sutisna SOPAN ADRIANTO Sri Lestari Sri Lestari Sugeng Riyadi Sumabrata, Raden Muhammad Jachfitrah Ardhi Suropati, Untung Sutisna Sutisna Sutisna Sutisna Tanjung, Cici Yolanda Tri Agus Setiawan Tri Wahyudi Tri Wahyudi Tri Wahyudi Tri Wahyuni Triwahyudi, Triwahyudi Tundo Tundo, Tundo Untung Suropati Veren Nita Permatasari Wahab, Adnan Wahyu Saputro Wahyudi, Ahmad Arif Yansen Yansen Yuliansyah, Ahmad Fauzan Yusuf Pascal Ramadhan