Article Per Year (5 Year)
p-Index From 2021 - 2026
7.319
P-Index
This Author published in this journals
All Journal Jurnal Ruas (Review of Urbanism and Architectural Studies) Celt: A Journal of Culture, English Language Teaching & Literature Sisforma: Journal of Information Systems PROXIES LANGKAU BETANG: JURNAL ARSITEKTUR Jurnal Riset Ekonomi dan Bisnis Journal of Architectural Design and Urbanism Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Arsitektur ZONASI EconBank : Journal Economics and Banking Journal of Information Systems and Informatics Neo Teknika: Jurnal Ilmiah Teknologi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Journal of Architectural Research and Education Journal of Management and Business Environment (JMBE) Jurnal Teknik Informatika (JUTIF) Journal of Business and Technology Arsitekta IJEAS (International Journal of Environment, Architecture, and Societies) Elektriese: Jurnal Sains dan Teknologi Elektro Journal of Computing Theories and Applications Journal of Local Architecture and Civil Engineering
Ridwan Sanjaya
Department Of Information Systems, Soegijapranata Catholic University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 64 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 64 Documents
Search

 3   4   5   6   7 
Computational Sentiment Analysis of User Interactions on Live Streaming Platforms Using Artificial Expert Judgment Muhamad Sandy Saputra; Ridwan Sanjaya
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.15480

Abstract

This study examines user interaction patterns on JKT48 Showroom live streaming using sentiment analysis on 14,857 interactions processed with a Large Language Model. The results show that most interactions are neutral (93.63%) with positive and negative sentiments appearing in smaller proportions. This suggests that user participation is mainly routine and reflects a form of “silent loyalty”. The findings highlight the importance of maintaining a stable user experience to support long term engagement.
Adaptive Gradient Boosting for Fuel Consumption Prediction in Mining Haul Trucks under Concept Drift Monitoring Kusnawi, Kusnawi; Wibowo , Mochamad Agung; Sanjaya, Ridwan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5635

Abstract

Fuel consumption prediction models deployed in mining operations often degrade in performance due to changes in the distribution of high-frequency telemetry data, a phenomenon commonly associated with concept drift. Static machine learning models trained on historical data may therefore lose reliability over time in dynamic operational environments. This study aims to develop an adaptive regression approach for predicting fuel consumption in mining haul trucks by integrating a Gradient Boosting Regressor with batch-wise performance monitoring and periodic retraining. Real-world telematics data were processed through systematic preprocessing and feature engineering to derive behavioral and operational indicators relevant to fuel usage. Model performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and the coefficient of determination (R²), while drift monitoring employed a threshold-based MAE analysis over streaming batches. Experimental results show that the initial model achieved an MAE of 27.27 L/h and an R² of 0.759, and the adaptive retraining strategy provided marginal yet consistent performance stabilization without detecting significant drift within the observed period. Beyond the mining application, this framework contributes to the development of lightweight adaptive regression systems for real-time data stream processing, supporting computationally efficient predictive maintenance in industrial IoT environments.
Design and Development of a Website-Based Sales Information System at Roujee Bag Studio Benedicta Nathania Nugroho; Ridwan Sanjaya; Albertus Dwiyoga Widiantoro
Journal of Business and Technology Vol 6, No 1: April 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i1.11638

Abstract

Sales Information System "Roujee Bag Studio" is an application designed to facilitate the management and monitoring of the sales process at the Roujee Bag Studio company. This application aims to improve operational efficiency, increase the accuracy of information, and strengthen control over the entire value of purchases and sales. The method used in system development is the waterfall method and the black box testing method and interviews. The results of application development show that continuity between data and integrated systems can facilitate company performance. And the existence of a strong authentication system ensures that only authorized parties can access sensitive information. with the implementation of this Sales Information System Roujee Bag Studio is expected to improve operational efficiency and more precise and accurate decision making.Keywords— sales information system, roujee bag studio, operational efficiency, data security, reporting module.
Automated Financial Reporting and AI-Based Insights for MSMEs Using Gemini AI: A Case Study of Cubic Game House Michael Christano Suryopranoto; Ridwan Sanjaya; Stephani Inggrit Swastini
Journal of Business and Technology Vol 6, No 2: Agustus 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i2.14885

Abstract

MSMEs are the backbone of Indonesia’s economy, but many of them still rely on traditional manual accounting systems which are inefficient and prone to errors. General objective of the research is to develop and implement a web based financial management system using Artificial Intelligence to automatically generate financial report and provide business decision support. The methodology of the research in this paper uses a Waterfall model design and development process where Cubic Game House, a business that rents PlayStation console system, as the case study. The app is programmed in React and uses the Next. js framework and TypeScript is used in the user interface, and financial data is saved temporarily in the browser storage. It will connect to Gemini AI’s API to assess transaction details, generate financial analysis, recognize irregular spending behaviours and share practical business tips. It is concluded that the proposed system improves the financial record-keeping, report generation process and data-driven decision making practices of MSMEs. Our research indicates that AI-based financial systems can be feasibly applied in MSMEs with limited technology.
Co-Authors Adi Fajaryanto Cobantoro Adiseputra, Nicholaus Agus Cahyo Nugroho Aji Priyambodo Aji Priyambodo Alb. Dwi Yoga Widiantoro Alb. Dwiyoga Widiantoro Albertus Dwi Yoga W Albertus Dwiyoga Widiantoro Alexandra Adriani Widjaja andadari, tri susetyo Andre Kurniawan Pamudji Andru Deva Lukito Aprilia Ratna Christanti Baskara Arya Pranata Benedicta Nathania Nugroho Bernadinus Harnadi Bernardinus Harnadi Cecilia Titiek Murniati Celvin Laviano Chandrawati, T. Brenda Christine Wibhowo, Christine Dharmawan, Jovita Dwiyoga Widyarto Ekawati Marhaenny Dukut, Ekawati Marhaenny Elisa Purnamasari Elisa Purnamasari, Elisa Elizabeth Kurniawan Ardianto Erdhi Widyarto Evangeline Eunike Fajar As'ari Fajar As'ari Felicia Kusuma Fiolita, Cindy FX Hendra Prasetya FX Hendra Prasetya Graciela, Cindy Fiolita Gregorius Alvin Raditya Santoso Hendra Prasetya Hendra Prasetya Hendra Prasetya Hendra Prasetya Hening Artdias Hermawan Hermawan Inggrit Swastini Dewi Isidorus Ivan Kalya Wasistha Koeswoyo, Freddy Koeswoyo, G. Freddy Kusnawi Kusnawi L.M.F. Purwanto Leocadia Desy Pranatalisa LMF. Purwanto Lorensius Anang Setiyo Waluyo Lysbeth Venella Oey Margareta Ernanda Rahardani Meissy Lengmas Congdinata Michael Christano Suryopranoto Mochamad Agung Wibowo Mochamad Agung Wibowo Mufidah Mufidah Muhamad Sandy Saputra Muljanto, Yehuda Joy Nugraha, Johanes Arya Pramesta Nugroho, Agus Cahyo Nugroho, Setyadi Nur Yanti Nuryanti Nuryanti P., Angelicdolly Palgunadi, Petrus Pamudji, Andre Kurniawan Perdana Putra, Sinar Pramuditya, Reza Santika Prasasto Satwiko Priatko, Albertus Aditya Purwanto, LMF R Rizal Isnanto Rahardjo, Ervina Febriani Ramli, Justine Hezekiel Rejeki, V. G. Sri Retang Wohangara, Retang Rio Wiranto Risa Farrid Farrid Christanti, Risa Farrid Rizal Isnanto Santi Widiastuti Santosa, Daniel Saswitko, Prasasto Setiyanto, Benny D. Sindi Budi Emilia Soetomo, Greg. Stephani Inggrit Swastini Stephen Jonathan Gustav Sulastri, Augustina T Brenda Chandrawati T. Brenda Ch Ch Tri Arinta, Rizka veinta sonrizky mayo Wahyuningrum, Shinta Estri Wibowo , Mochamad Agung Widianto, Daniel Prasetya Widjaja, Robert Rianto Widyarto, Erdhi Yoannes Romando Sipayung Yonathan Aditya Wijaya Yulianto, Felix Wiranata