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All Journal Mutiara Medika: Jurnal Kedokteran dan Kesehatan Public Health of Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Akuntoteknologi : Jurnal Ilmiah Akuntansi dan Teknologi Pediomaternal Nursing Journal Empowerment : Jurnal Pengabdian Pada Masyarakat Abdi-Dharma Journal of Practical Computer Science (JPCS) Journal of Information System, Technology and Engineering JARI Biosaintifika: Journal of Biology & Biology Education
Agus Suharto, Agus
Bagian Ilmu Patologi Anatomi, Fakultas Kedokteran dan Ilmu Kesehatan, Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Journal of Practical Computer Science (JPCS)

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Pengembangan AI Generatif ChatBot berbasis Mobile App dengan MIT App Inventor Suharto, Agus; Hartono, Rahmat
Journal of Practical Computer Science Vol. 5 No. 2 (2025): November 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i2.6395

Abstract

This research explores the integration of generative artificial intelligence (AI) into mobile app development using MIT App Inventor, a visual programming platform widely adopted in educational settings. As generative AI technologies such as Large Language Models and image synthesis tools become more accessible, the potential for significantly enhancing creativity, personalization, and automation in mobile apps becomes clear. The research presents a prototype chatbot application with AI to a dynamic story generator built using Web App Inventor components to interact with external AI APIs. Through usability testing with high school students to evaluate technical feasibility, user experience, and pedagogical value, the research shows that generative AI can enrich learning outcomes and application functionality, although challenges remain in managing latency, API complexity, and ethical considerations. . The results of the study were evaluated using EUCS and Likert Scale as measurements, namely: Content 75% “Satisfied”, Accuracy 76% “Satisfied”, Ease Of Use 87% “Very Satisfied”, Format 69% “Satisfied”, Timeliness 67% “Satisfied”, so that the final result of the average index is 74.8%. It is hoped that it can recommend platform improvements, and be used for future research to support the development of AI-powered applications in a block-based environment.
Co-Authors Andriansah, Zulfi Aprilyanti, Rina Arifin, Hidayat Arip Kristiyanto Aristyaning Putri, Wahyu Ariyanto Nugroho Astuti, Yoni Fadilah, Muhamad Yudi Fahrudin , Endin Farizy , Salman Hartono, Rahmat Herry Susanto Hoga Saragih Jamhari Jamhari Janamarta, Suhendar Luky Adrianto Marsin, Marsin Rahayu Widaryanti Rahmawati, Iroh Ramadhan, Cahyo Setiadi Retnaningsih, Listyana Natalia Safitri, Helen Santi Damayanti Silaban, Berlin Siti Bahiroh Siti Fadlilah Sugimoto, Hiroshi Sugiyarto Sugiyarto Suhendri Suhendri Wibowo, FX. Pudjo YOSHIHIKO YANO Yusman, Yusman Zein, Afrizal Zuliana Utami, Anisa