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Peningkatan Pemahaman Siswa terhadap Proses Pembuatan Game Edukatif di Sekolah Perguruan Advent Parongpong Henry Pandia; Sintaria Sembiring; Yusran Timur Samuel
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 2 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i2.5409

Abstract

This community service program aimed to enhance digital literacy and student creativity among junior high school students through training in the development of educational games using the Scratch platform. The training was conducted in two sessions at Perguruan Advent Parongpong School and involved 8th and 9th grade students. The first session introduced basic visual programming concepts through a simple project titled Underwater Life, while the second session guided students to create a game called Bat vs Dragonfly, featuring a point system and win-lose logic. The method used was active and participatory, including material presentations, demonstrations, and hands-on practice with assistance. Questionnaire results revealed that most students regularly play games, showed strong interest in learning to create games, and viewed the use of games in learning positively. In the first session, 8 out of 29 students successfully completed the project, while in the second session, 21 out of 30 students completed the game within the allotted time. This activity demonstrated that educational games can effectively foster student interest in learning, logical thinking, and creativity. The outcomes are expected to serve as a foundation for schools to develop extracurricular programs focused on creative technology, and to encourage parents and educators to guide the use of technology in a positive and productive direction.
Analisis Perilaku Pengguna Mobile Banking Terhadap Keamanan Informasi Menggunakan Metode Human Aspects of Information Security Questionnaire (HAIS-Q) Anastasiah, Maria; Pandia, Henry
Innovative: Journal Of Social Science Research Vol. 4 No. 2 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i2.9684

Abstract

Penelitian ini merupakan studi tentang perilaku para pengguna mobile banking terhadap keamanan informasi di Indonesia. Tujuan studi ini adalah untuk mengevaluasi apakah perilaku pengguna mobile banking telah memadai dalam menjaga keamanan informasi mereka dari ancaman kejahatan di sektor jasa keuangan yang mungkin memanfaatkan kelalaian atau kelemahan dari pengguna mobile banking. Penelitian ini diukur menggunakan metode HAIS-Q. Populasi untuk penelitian ini adalah 100 responden yang menggunakan layanan aplikasi mobile banking di Indonesia. 30 responden menjadi sampel dalam penelitian ini. Instrumen penelitian ini adalah angket pertanyaan bedasarkan instrumen HAIS-Q. Angket pertanyaan terdiri dari 15 butir pertanyaan yang meliputi instrumen HAIS-Q. Teknik pengumpulan data menggunakan kuesioner yang disebarkan melalui platform google form. Tentang hasil penelitian ini, diharapkan bahwa perilaku pengguna mobile banking dalam menjaga keamanan informasi data pribadi dapat mencapai tingkat yang optimal dan penelitian ini bisa Memberikan referensi atau pemahaman kepada masyarakat dalam berprilaku menjaga keamanan informasi data pribadinya. Dari hasil perhitungan beberapa nilai focus area yang bernilai rendah terdapat pada focus area “password management” dengan sub area “Sharing Password” (M=2,83) dan “mobile device” dengan sub area “Sending sensitive information via WI-FI” (M=2,68).
Modeling AI readiness in a faith-based educational context: Evidence from Adventist schools in Western Indonesia using a hierarchical PLS-SEM approach Henry Pandia; Wei Hung Chen
Jurnal Ilmu Komputer dan Sistem Informasi |JIKSI| Vol. 7 No. 01 (2026): Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI)
Publisher : Institute of Information Technology and Social Science (IITSS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61346/jiksi.v7i01.336

Abstract

This study examines the influence of AI literacy and AI ethics awareness on teachers’ readiness to adopt artificial intelligence in educational practice. As AI technologies become increasingly integrated into teaching and learning processes, understanding the factors that shape teachers’ preparedness is essential. Data were collected from 204 teachers in Adventist schools in Western Indonesia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI literacy significantly predicts AI readiness (β = 0.491, p < 0.001), while AI ethics awareness shows a positive but weaker effect (β = 0.313, p < 0.001). The model explains 53.1% of the variance in AI readiness, indicating moderate to substantial explanatory power. AI readiness is conceptualized as a multidimensional construct comprising confidence, intention, and digital self-learning. These findings suggest that cognitive competence plays a more dominant role than ethical awareness in shaping readiness. This study contributes by providing empirical evidence within a faith-based educational context and by advancing the conceptualization of AI readiness as a hierarchical construct. The results highlight the importance of AI-specific professional development and ethical awareness to support responsible AI integration in education.
Analisis Business Intelligence Keluhan Merchant GoFood: Identifikasi Tema dan Evolusi Keluhan Menggunakan BERTopic Henry Pandia
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2858

Abstract

Platform Online Food Delivery (OFD) telah menjadi bagian penting dari ekonomi digital dengan memungkinkan merchant memperluas jangkauan pasar dan meningkatkan efisiensi operasional bisnis. Namun, meningkatnya ketergantungan pada ekosistem yang dikelola platform juga menimbulkan berbagai tantangan operasional dan bisnis bagi para merchant. Penelitian ini bertujuan untuk mengidentifikasi topik utama keluhan merchant GoFood, menganalisis evolusi temporal topik tersebut, serta menghasilkan rekomendasi strategis dari perspektif Business Intelligence. Data penelitian terdiri atas 7.013 ulasan negatif yang dikumpulkan dari aplikasi GoFood Merchant di Google Play Store selama periode 1 Juni 2023 hingga 30 Mei 2026. BERTopic digunakan untuk mengidentifikasi topik-topik utama yang terkandung dalam ulasan merchant, sedangkan analisis temporal dilakukan untuk mengamati perubahan frekuensi kemunculan topik dari waktu ke waktu. Hasil evaluasi model menunjukkan nilai Topic Coherence sebesar 0,590, Topic Diversity sebesar 0,611, dan Topic Quality sebesar 0,360. Hasil penelitian mengidentifikasi 12 topik utama keluhan merchant, dengan biaya promosi, permasalahan pengemudi, permasalahan keuangan, dan ketidakpuasan terhadap kebijakan platform sebagai topik yang paling dominan. Analisis temporal menunjukkan bahwa topik-topik tersebut tetap menjadi isu utama selama periode observasi. Dari perspektif Business Intelligence, temuan penelitian mengungkap empat dimensi kerentanan utama dalam ekosistem, yaitu tekanan monetisasi, ketergantungan operasional, kerentanan finansial, dan ketidakpuasan terhadap tata kelola platform. Temuan ini dapat mendukung pengelola platform dalam meningkatkan kualitas layanan, kepuasan merchant, serta keberlanjutan ekosistem platform.
Analisis Business Intelligence Ulasan Negatif Aplikasi M-Pajak Menggunakan BERTopic untuk Evaluasi Layanan Digital Henry Pandia
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2848

Abstract

The M-Pajak application is part of the government’s digital tax service transformation aimed at improving the efficiency and accessibility of tax services for the public. However, user complaints on the Google Play Store indicate that technical and operational problems persist with the application. This study aims to analyze negative user reviews of the M-Pajak application using BERTopic to generate Business Intelligence insights related to the quality of government digital tax services. BERTopic was selected because it uses transformer-based contextual embeddings, which are well-suited to analyzing short, unstructured, and informal mobile application reviews, thereby helping identify complaint themes in a more context-aware way than traditional word-distribution-based topic modeling approaches. The data were collected from Google Play Store reviews from May 2023 to May 2026, totaling 6,024 user reviews. A total of 5,008 negative reviews with ratings of 1 or 2 were used as the primary focus of the analysis. The research stages included data scraping, preprocessing, BERTopic modeling, topic evaluation, and Business Intelligence interpretation. The results show that the main user problems are related to authentication and login, system errors, email and OTP verification, NPWP and NIK registration, and digital service stability. Model evaluation yielded a Topic Coherence score of 0.522, a Topic Diversity score of 0.667, and a Topic Quality score of 0.348, indicating that the topic quality was moderate yet interpretable. The contribution of this study lies in utilizing negative reviews of a digital tax service application as a source of operational insights to support the evaluation and improvement of government digital public services.
Rethinking ICT Integration in Indonesian Schools: The Role of Digital Self-Learning Beyond Institutional Support Henry Pandia; Sintaria Sembiring
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 1 (2026): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/8xzx9j47

Abstract

Purpose of the Study: This study examines the relationships among Digital Self-Learning (DSL), Institutional Support (IS), Professional Development (PD), and Technology Integration (TI) among Indonesian teachers. Specifically, the study investigates how teachers' autonomous digital learning behavior contributes to classroom-level ICT integration beyond formal institutional and training mechanisms.Methodology: A quantitative cross-sectional survey was conducted involving 221 Indonesian in-service teachers. The study applied Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data, examine relations among the proposed constructs, and explore the mechanisms underlying technology integration.Main Findings: Digital Self-Learning is the strongest predictor of both Professional Development and Technology Integration. Institutional Support significantly influences Digital Self-Learning but does not directly affect Technology Integration, suggesting that institutional conditions primarily contribute through enabling teachers' self-directed learning behavior. Professional Development further strengthens Technology Integration, whereas demographic variables such as age, gender, and educational level exert little influence. Although the proposed model confirmed substantial explanatory power, its out-of-sample projecting performance was limited. Therefore, the findings should be interpreted primarily from an explanatory rather than a predictive perspective.Novelty/Originality of this Study: The novelty of this study lies in its reconceptualization of ICT integration as a behaviorally driven process in which Digital Self-Learning functions as the central mechanism linking institutional conditions, professional growth, and classroom technology integration. The findings contribute to the growing discourse on teacher digital capability and offer practical insights for developing more adaptive and sustainable ICT integration strategies in educational settings.