Dr. Ir. Mohammad Idhom, S.P., S.Kom., M.T. is a Senior Lecturer (Lektor) and researcher in the Data Science program at UPN "Veteran" Jawa Timur. He holds a highly multi-disciplinary academic background, having earned his Bachelor's degree from UPN "Veteran" Jawa Timur, his Master's degree from Universitas Atma Jaya Yogyakarta, and his Doctoral degree from Universitas Negeri Surabaya. His primary research expertise lies in Artificial Intelligence, Software Engineering, and Advanced Forecasting, with a specialized focus on intermittent demand data and multi-label classification. Beyond his technical research, Dr. Idhom actively drives community service initiatives, providing specialized IoT training and digital marketing empowerment for local businesses.
With an extensive academic portfolio comprising over 80 published works, research is heavily centered on predictive modeling, machine learning algorithms, and intelligent systems development.
Selected Research Publications
"Evaluation of CART and XGBoost Methods on Customer Loan Risk Prediction Based on Consumer Behavior" (2025) – TEM Journal.
"Fake News Classification Using LSTM Algorithm on Kompas Platform" (2024) – ICIMIS Conference.
"Time Series Regression: Prediction of Electricity Consumption" (2023) – TEM Journal.
Advanced studies on forecasting models, including Recurrent Neural Networks (RNN) for intermittent demand and environmental data analysis.
Published Books & Academic Texts
Algoritma dan Pemrograman Dasar dalam Bahasa Pemrograman Python (2023)
Tutorial Praktis Menggali Ide dan Tren Riset (2023)
Chatbot: Membangun Mesin Percakapan Pintar (2021)
Desain Mobile Robot dengan Kendali Smart Phone Android (2020)
Hendra Maulana is a lecturer and researcher in the Digital Business Study Program at UPN "Veteran" Jawa Timur. He holds a Master’s degree in Informatics from the Institut Teknologi Sepuluh Nopember (ITS). His work focuses on the intersection of Software Engineering and Artificial Intelligence, particularly in developing IoT solutions for agriculture and digitalizing management systems for MSMEs and educational institutions. With over 25 published works and 19 registered intellectual properties, he is actively involved in advancing Indonesia's digital ecosystem through technology-driven community empowerment.
Dr. Letda KC Taufikurrahman is a Lektor and faculty member in the Digital Business Study Program at UPN "Veteran" Jawa Timur. He holds a Doctorate in Islamic Education from UIN Maulana Malik Ibrahim Malang, where his research specialized in interdisciplinary studies and multifaith education. Beyond his academic role, he holds a military background in basic naval and national defense training, which informs his research on "Bela Negara" (National Defense) character building. With an extensive portfolio of over 50 publications and numerous books, his work focuses on bridging traditional Islamic values with modern digital initiatives, including UMKM rebranding and digital literacy for pesantren.
Aviolla Terza Damaliana is a faculty member and researcher at UPN "Veteran" Jawa Timur. She earned both her Bachelor’s and Master’s degrees in Statistics from the Institut Teknologi Sepuluh Nopember (ITS), specializing in dynamic panel regression and spline truncated regression for longitudinal data. Her research portfolio includes advanced predictive modeling for public utilities, financial risk in tourism, and ensemble learning for commodity price control. She currently teaches a variety of quantitative courses, including Machine Learning and Multivariate Statistics.
Iswanda F. Satibi., is a lecturer in the Digital Business Study Program at UPN "Veteran" Jawa Timur. He is an alumnus of the University of Indonesia and Victoria University of Wellington, specializing in Commerce and Information Systems. His research is deeply rooted in the evolution of the digital economy, specifically focusing on the social and technical dimensions of Blockchain, DeFi, and Central Bank Digital Currencies (CBDC). A recognized contributor to digital business pedagogy, he was awarded "Best Paper" at ICONBIT 2024 for his work on digital business education development.
Trimono is a lecturer in the Data Science Study Program at UPN "Veteran" Jawa Timur with a deep academic background in Statistics and Mathematics from Universitas Diponegoro and Institut Teknologi Bandung. His expertise centers on financial modeling, particularly in stock price valuation and risk assessment using advanced stochastic models like Geometric Brownian Motion. Since joining UPN in 2021, he has become an active contributor to the field, serving as an editor for the Media Statistika journal and securing numerous research grants and intellectual property rights for his development of statistical software interfaces.
Noer Aida Triandini, S.Si., M.M., M.Sc., is an Assistant Professor (Asisten Ahli) at UPN "Veteran" Jawa Timur. She holds a multidisciplinary academic background with a Bachelor’s in Mathematics from Universitas Airlangga and dual Master’s degrees in Management (UPN "Veteran" Yogyakarta) and Economic Science (Universitas Gadjah Mada). Before her academic career, she gained extensive professional experience at Bank Indonesia (2016–2024) and as a researcher for Core Indonesia. Her work is characterized by high-impact collaborations with institutions like KNEKS, the Ford Foundation, and major industry players like Gojek and Pegadaian, focusing on sustainable economic development and digital financial ecosystems.
Nadofah, S.E., M.E., is a lecturer and researcher at UPN "Veteran" Jawa Timur. She holds both her Bachelor's and Master's degrees in Economics from Universitas Trunojoyo Madura, specializing in development economics. Her academic contributions focus on regional economic performance, poverty reduction strategies, and the digital economy's impact on labor. She has published work on Maqashid Syariah's influence on human development and has recently co-authored books regarding the Digital Rupiah and the foundations of cryptoeconomics.
Refiana Dwi Maghfiroh, S.M., M.M. is a lecturer at Universitas Pembangunan Nasional "Veteran" Jawa Timur with a specialization in Management. Her academic background from Universitas Negeri Surabaya laid the foundation for her expertise in financial analysis. Her research and teaching portfolio centers on financial distress, corporate governance, and sustainable finance (ESG), where she explores the variables that influence corporate stability and performance in the Indonesian market. Beyond the classroom, she is actively involved in community empowerment, focusing on financial literacy and digitalizing MSMEs.
Sugiarto serves as the Coordinator of the Digital Business undergraduate program at UPN "Veteran" Jawa Timur. He earned his Bachelor's degree from UPN "Veteran" Jawa Timur and his Master's degree from STMIK Eresha. His expertise bridges Software Engineering, Database Systems, IoT, and Consumer Behavior. Beyond academia, he actively drives community service initiatives, focusing on digital marketing empowerment for local SMEs and the development of accessible educational platforms.
