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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Review Pendidikan dan Pengajaran (JRPP) West Science Interdisciplinary Studies Journal of Information System, Technology and Engineering Jurnal Ilmiah Multidisiplin Indonesia Teras : Journal of Architectural Design and Technology Technologia Journal Jurnal Pengabdian Masyarakat Information Technology Studies Journal Journal of Social Science Utilizing Technology
Baharuddin
Universitas Ichsan Sidenreng Rappan
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Physics Social Sciences Transportation Other

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Use of the Internet of Things (IoT) in the Context of Ubiquitous Learning in Higher Education Rini Nuraini; Baharuddin Baharuddin; Daniar Sofeny; Mariana Diah Pusitasari; Victor Benny Alexsius Pardosi
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.744

Abstract

Background. The use of the Internet of Things (IoT) in Ubiquitous Learning in higher education is increasingly important along with the development of 21st century internet technology. Reliance on the internet for information creates a new paradigm in learning, where IoT plays a key role supporting an equitable and integrated learning experience. Universities as centers of higher education need to adopt solutions using IoT technology to overcome problems in the context of Ubiquitous Learning. Purpose. The purpose of this research is to identify solutions that can be adopted by universities to overcome Internet of Things problems in the context of Ubiquitous Learning. Method. This research uses a quantitative methodology with a survey method approach. A total of 30 students were randomly selected as samples to provide adequate representation. The data analysis technique uses the Miles Huberman technique, involving the stages of data reduction, data presentation, and drawing conclusions. A questionnaire was developed to explore students’ perceptions and experiences regarding the use of IoT in the learning process. Results. From the analysis results, the majority of students show a good understanding of IoT concepts and are actively involved in learning using this technology. Although some face obstacles, the majority of respondents believe that the use of IoT can increase learning effectiveness and really hope that there will be increased student engagement through IoT technology. These results provide a strong basis for developing better implementation strategies, encouraging universities to continue to innovate in integrating IoT technology to improve student learning experiences in the future.   Conclusion. Universities are advised to continue to innovate, integrating IoT strategically to improve the student learning experience. This shows the significant impact of IoT in designing the future of learning in higher education.
Cloud-Native Inventory Management System Using Flutter and Appwrite for Inventory Control Muhammad Fajar; Azwar Azwar; Baharuddin Baharuddin
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 08 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2026
Publisher : Sean Institute

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Effective inventory management is crucial for retail operations like Toko Karya Rappang, an office stationery and printing business. The shop faces challenges in managing 163 active products due to manual logbook recording, which causes data errors, delayed stock monitoring, reporting difficulties, and late stock replenishment. This research designs a cloud-native mobile inventory management system using Flutter and Appwrite as Backend-as-a-Service (BaaS). Developed via the Rapid Application Development (RAD) method for speed and flexibility, the system supports two user roles (owner and staff). Key features include incoming/outgoing goods tracking, real-time stock monitoring, low-stock notifications, and visual sales reports. System evaluation utilized White Box, Black Box, and User Acceptance Testing (UAT). White Box testing yielded low Cyclomatic Complexity scores (3 to 5), indicating minimal logical risk. Furthermore, the UAT involving 10 respondents achieved an 86.17% feasibility score, placing it in the "Good" category. The system is proven to function effectively, enhance accuracy, improve inventory efficiency, and serve as a viable reference for small and medium retail businesses.
Probabilistic Machine Learning Early Warning for Urban PM2.5 in SEA Cities Baharuddin Mide; Dhimas Tribuana; Usman Sattar; Dayanti Dayanti
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i7199

Abstract

Air pollution, particularly fine particulate matter (PM₂.₅), poses a critical threat to public health in rapidly urbanizing regions. Reliable early-warning systems are essential for mitigating exposure risks, yet challenges remain in cities with heterogeneous sensor coverage and event frequency. This study aimed to develop and evaluate a probabilistic, portable across cities early-warning framework for PM₂.₅ exceedances in Southeast Asia, focusing on Jakarta, Singapore, and Bangkok. Using a staged experimental design (Exp-A through Exp-E), we integrated regression-based back-casts with classification-based exceedance alerts, applied variant selection across thresholds and horizons, and validated for operational readiness through model freezing, documentation, and online simulation. Results showed that Jakarta achieved near-perfect exceedance prediction up to 6-hour horizons (F1 ≈ 0.99), Singapore maintained strong performance at short horizons (F1 ≈ 0.91 at 2–3 hours), while Bangkok yielded moderate but actionable signals at very short horizons (F1 ≈ 0.62 at 1 hour). Regression components provided stable situational awareness, and online smoothing reduced false alarms by approximately 15–20% without degrading performance. The framework demonstrated that calibrated exceedance probabilities can serve as an effective basis for city-level air quality alerts, with reliability strongly influenced by data density and event prevalence. This work contributes a reproducible, transparent, and computationally efficient approach that bridges machine learning innovation with practical environmental management. The findings emphasize the importance of horizon-specific calibration and adaptive strategies, offering both theoretical insights and practical value for policymakers in urban air quality governance.
The Influence of User Experience, Financial Innovation Capability, and Organizational Learning on the Success of Financial Technology Adoption in Fintech Lending Companies Sagaf S. Pettalongi; Samuel PD Anantadjaya; Herman Jelatu; Baharuddin Baharuddin; Tri Yusnanto; Fildzah Shabrina
Journal of Information System, Technology and Engineering Vol. 4 No. 3 (2026): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v4i3.325

Abstract

This research aims to analyze the effect of User Experience, Financial Innovation Capability and Organizational Learning on the Success of Financial Technology Fintech Lending Company Adoption in Indonesia More precisely, the research will be on the interaction of these three aspects. The research used a quantitative approach. A questionnaire was distributed to employes of fintech lending companies, which are involved in the application and deployment of digital financial technologies. Participants were asked for feedback. The sampling technique applied is the intentional sampling. Data collection is conducted thru online questionnaires created by the researchers using Google Forms. Data analysis was performed using multiple linear regression. The results show that User Experience, Financial Innovation Capability and Organizational Learning have a positive and significant impact on the success of financial technology adoption. This means that all three are interrelated. The findings indicate that a great user experience, an organization’s opportunity to innovate financially, and a culture of continuous learning are important attributes that must be considered in an attempt to improve the effectiveness of technology adoption in fintech lending organizations. Those are the things to think about.
Co-Authors Abraham Manuhutu Azwar Daniar - Sofeny, Daniar - Dayanti Dayanti Dhimas Tribuana Dhimas Tribuana Farida Arinie Soelistianto Fildzah Shabrina Herman Jelatu Heru Widoyo Izharul Haq Mariana Diah Pusitasari MUH RAIS Muhammad Fajar Muntasir, Muntasir Nurhayati Kamaruddin Puspita Utari Rahmatullah Rini Nuraini Rosihan Aminuddin Sagaf S. Pettalongi Samuel PD Anantadjaya Sultan La Obo Tri Yusnanto Ully Muzakir Usman Sattar Victor Benny Alexsius Pardosi