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Journal : Journal of Information Systems and Informatics

IoT and QRIS Payment System Integration in Entrepreneurship Lockers to Improve Culinary Business in Schools Andre Kurniawan Pamudji; Agus Cahyo Nugroho; Bernadinus Harnadi; T Brenda Chandrawati; Erdhi Widyarto Nugroho; FX Hendra Prasetya; Albertus Dwiyoga Widiantoro; Ridwan Sanjaya
Journal of Information System and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i1.448

Abstract

The Covid-19 pandemic has disrupted various activities, including the operation of school and campus canteens. In response, innovative solutions are needed to ensure the continuation of the culinary business while keeping all stakeholders safe during the pandemic. This study proposes the development of IoT-integrated entrepreneurial lockers that enable cashless payments through QRIS. These lockers can be used to revive the culinary business in school and campus canteens that had to close due to the pandemic. The results of the study show that the use of these lockers can reduce physical contact during transactions, thus minimizing the risk of virus transmission. Overall, this research offers a practical solution for sustaining the canteen business in the face of the pandemic.
Multimodal Implicit Sentiment Analysis for Tourism Development: A Systematic Literature Review Yoannes Romando Sipayung; Mochamad Agung Wibowo; Ridwan Sanjaya
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1436

Abstract

This study aims to examine the application of multimodal approaches in implicit sentiment detection within the tourism sector to support data-driven digital development strategies. This review identifies prevailing trends, methodologies, datasets, and scientific novelties in multimodal sentiment analysis capable of capturing hidden emotions, such as sarcasm and ambiguity, in tourist reviews. Using a systematic literature review approach, ten core studies published between 2020 and 2025 were analyzed to identify prevailing research trends, dominant methodological frameworks, commonly used datasets, and emerging scientific contributions. Results demonstrate that multimodal deep learning models—particularly those employing attention-based fusion and contrastive learning—consistently outperform unimodal approaches in recognizing nuanced tourist emotions that are not explicitly stated in text. Despite these advances, the review reveals a significant gap in tourism-specific and Indonesian-context studies, as well as an overreliance on general-purpose social media datasets. This review provides a conceptual and methodological foundation for implementing multimodal implicit sentiment analysis in tourism decision-making systems, enabling destination managers and policymakers to develop early warning mechanisms for tourist dissatisfaction, enhance destination quality assessment, and support more targeted and sustainable tourism development strategies.
Real-Time Explainable Concept Drift Detection for Eco-Driving in Mining Trucks using KSWIN and Event-Triggered SHAP Kusnawi; Mochamad Agung Wibowo; Ridwan Sanjaya
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1551

Abstract

Fuel consumption represents a significant operational cost in mining, where real-time eco-driving optimization is hindered by dynamic and non-stationary operating conditions. Variations in operator behavior and environmental factors often induce concept drift, which diminishes the reliability of static machine learning models and constrains the effectiveness of conventional drift detection methods. This study proposes a distribution-aware, event-triggered Explainable Artificial Intelligence (XAI) framework for detecting and diagnosing fuel consumption anomalies in streaming telematics data. A Hoeffding Tree Regressor was evaluated using a prequential scheme on 1,927,867 real-world observations, achieving a Mean Absolute Error (MAE) of 19.43 under non-stationary conditions. Concept drift was monitored using the Kolmogorov–Smirnov Windowing (KSWIN) algorithm, which detected 1,874 drift events. Upon detection, an event-triggered SHAP module identified contributing factors, indicating that behavioral features such as engine speed and accelerator position were dominant contributors in early drift events. The primary contribution of this study is the integration of distribution-based drift detection with event-triggered explainability within a unified streaming framework, facilitating both anomaly detection and interpretable root-cause analysis.
Co-Authors Adiseputra, Nicholaus Agus Cahyo Nugroho 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 Bernadinus Harnadi Bernardinus Harnadi Cecilia Titiek Murniati Celvin Laviano Chandrawati, T. Brenda Christine Wibhowo, Christine Cobantoro, Adi Fajaryanto 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 Gregorius Anung Hanindito 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 Kusnawi L.M.F. Purwanto Leocadia Desy Pranatalisa LMF. Purwanto Lysbeth Venella Oey Margareta Ernanda Rahardani Meissy Lengmas Congdinata Mochamad Agung Wibowo Mufidah Mufidah 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, Prasasto Priatko, Albertus Aditya Purwanto, LMF Rahardjo, Ervina Febriani Ramli, Justine Hezekiel Rejeki, V. G. Sri Retang Wohangara, Retang Rio Wiranto Risa Farrid Farrid Christanti, Risa Farrid Santi Widiastuti Santosa, Daniel Saswitko, Prasasto Setiyanto, Benny D. Sindi Budi Emilia Soetomo, Greg. Stephen Jonathan Gustav Sulastri, Augustina T Brenda Chandrawati T. Brenda Ch Ch Tri Arinta, Rizka veinta sonrizky mayo Wahyuningrum, Shinta Estri Wibowo , Mochamad Agung Wibowo, Mochamad Agung Widianto, Daniel Prasetya Widjaja, Robert Rianto Widyarto, Erdhi Yoannes Romando Sipayung Yonathan Aditya Wijaya Yulianto, Felix Wiranata