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Andree Emmanuel Widjaja
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International Transactions on Education Technology (ITEE)
Published by Pandawan Sejahtera Indonesia
ISSN : 29636078     EISSN : 29631947     DOI : https://doi.org/10.33050/itee
Core Subject : Social, Engineering,
Control & Systems Engineering Social Sciences
Computer Science/informatics, Circular Digital Economy, Computer engineering/computer systems, Software Engineering, Information Technology, Information Systems, Cyber Security, Data Science, Artificial Intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 64 Documents
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IoT-Based Home Security System: ESP32-CAM Integration and Real-Time Notification Qori Halimatul Hidayah; Ryan Putra Laksana; Ary Prabowo; Dwi Santika Simatupang
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.956

Abstract

Conventional home security systems are generally unable to provide real-time monitoring accompanied by visual evidence when suspicious activity occurs, so the user response rate is still low. The development of the Internet of Things (IoT) allows the integration of sensors, cameras and communication platforms to produce more adaptive and responsive security systems. This research aims to develop a prototype IoT-based home security system using ESP32-CAM and PIR sensors integrated with the Telegram Bot API to provide image-based au- tomatic notifications. The research was carried out through the stages of needs identification, literature study, design, prototype development, and functional testing. The system is designed to detect movement via a PIR sensor, take im- ages using the ESP32-CAM, store them on MicroSD media, and send real-time notifications to users via the Telegram platform. Test results show that the sys- tem is able to detect movement accurately, take images with stable quality, and send notifications with a 100% success rate as long as a network connection is available. Moreover, there is also the provision of manually executing /takefoto commands for remotely monitoring the system. This research work contributes towards designing a home security system which is not only cost-effective but is also relatively simple to implement and highly adaptable in the community environment. Future development could involve cloud data storage and video recording capabilities.
Analysis of Academic Information System Integration in Improving the Quality of Higher Education Data Reporting to PDDIKTI Meri Mayang Sari; Untung Rahardja; Nur Azizah; Gabriel Fransiso; Jelita Bagaskara
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.961

Abstract

Interdisciplinary Digital transformation in higher education requires integrated academic information systems to support accurate, consistent, complete, and timely reporting to the Higher Education Database (PDDIKTI). However, many universities still face reporting delays, data inconsistencies, and synchronization problems caused by fragmented systems and manual processes. This study aims to analyze the role of academic information system integration in improving the quality of higher education data reporting. A qualitative case study approach was employed at a private university in Banten Province, Indonesia. Data were collected through observation, semi structured interviews, and document anal- ysis, and analyzed using thematic analysis and the Miles and Huberman inter- active model. The findings indicate that system integration through API-based synchronization, ETL processes, automated validation, and monitoring mecha- nisms significantly improves reporting quality in terms of accuracy, consistency, completeness, and timeliness. Integration also reduces manual workloads, mini mizes data duplication, accelerates synchronization, and improves transparency in reporting activities. Nevertheless, challenges related to synchronization fail- ures, API security, and institutional interoperability remain important consider- ations. The study concludes that academic information system integration is a critical factor in strengthening higher education data governance and supporting data-driven decision-making.
Data-Driven Analysis of Husband Support and Psychological Anxiety in Pregnant Women Using Educational Health Analytics Imella Annisah; Sania Ihroma; Anggarani Prihatiningsih; Irvan Arivianto; Arsita Pratiwi
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.966

Abstract

This study examines the relationship between husband support and psycholog- ical anxiety among pregnant women using a data-driven educational health ana- lytics approach. A cross-sectional quantitative design was employed at Pratama Suradita Clinic, Tangerang Regency, Indonesia. The sample consisted of 85 pregnant women selected from a target sample of 88 respondents using Slovin’s formula; three questionnaires were excluded due to incomplete responses. Psy- chological anxiety was measured using the Hamilton Anxiety Rating Scale (HARS), while husband support was assessed through a structured questionnaire covering emotional, informational, instrumental, and appraisal support. Instru- ment validity and reliability were confirmed prior to data collection (Cronbach’s alpha> 0.70). Chi-square analysis showed a statistically significant relation- ship between husband support and anxiety (p = 0.001). Pregnant women receiv- ing adequate husband support had an 88.1% lower probability of experiencing anxiety (OR = 0.119). These findings highlight the importance of involving husbands in prenatal educational programs to improve maternal mental health.
Measuring the Effect of Interdisciplinary Learning Factory Projects on Student Learning Outcomes Etty Puji Lestari; Adele Valerry; Lilik Sulistyowati
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.1109

Abstract

The rapid development of interdisciplinary knowledge and industry-driven education models has encouraged higher education institutions to adopt more experiential and collaborative learning approaches. The growing demand for graduates who possess not only theoretical knowledge but also practical competencies, collaborative abilities, and innovation skills has driven universities to integrate real-world project environments into the learning process through Learning Factory models. This study aims to measure the effect of interdisciplinary Learning Factory projects on student learning outcomes in higher education environments. The research applies a quantitative approach using a survey-based method involving students who participated in interdisciplinary Learning Factory projects, with the collected data analyzed through statistical analysis techniques to examine the relationship between interdisciplinary project activities and learning outcomes. The findings reveal that interdisciplinary Learning Factory projects significantly improve student learning outcomes, particularly in the areas of problem-solving ability, critical thinking, collaboration, and the integration of theoretical and practical knowledge. Students who participate in interdisciplinary projects demonstrate higher engagement and stronger capability to address complex real-world problems compared to those involved in traditional learning environments. These findings suggest that the integration of interdisciplinary Learning Factory projects provides an effective learning strategy for enhancing student competencies and supporting the development of practical, collaborative, and innovation-oriented skills required in modern educational and industrial contexts.

Page 7 of 7 | Total Record : 64

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