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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) JurTI (JURNAL TEKNOLOGI INFORMASI) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Budimas : Jurnal Pengabdian Masyarakat Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Journal of Practical Computer Science (JPCS) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Jurnal Sistem Informasi Journal of Information System, Technology and Engineering JARI Al'Adzkiya International of Computer Science and Information Technology Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Agus Suharto
Program Studi Sistem InformasiUniversitas Pamulang, Banten, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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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.
Design and Build IoT Smart Home System with Blocks Based App Inventor Programming Agus Suharto
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.12028

Abstract

IoT adoption and integration has increased over the past few years due to the increasing consumer demand for convenience, security, and energy savings, creating opportunities for us to interact with our surroundings by integrating physical devices through IoT. Fundamentally, the Internet Society cares about IoT because it is an evolving aspect of how people and institutions are likely to interact with the Internet in their personal, social, and economic lives. MIT App Inventor is an intuitive visual programming environment that allows anyone to build applications including IoT for Android/iOS phones or tablets. Although a number of block-based approaches are available to program some IoT hardware, it is still an area that has not been widely explored. In this study, we will discuss how to implement IoT Smart Home with a block-based programming approach using MIT App Inventor. The application development method uses the ADDIE method with stages, namely Analysis, Design, Development, Implementation, Evaluation. The results of the research evaluation using the EUCS method with dimensions of Content, Accuracy Ease of Use, Format, Timeliness, the results obtained in the study average indexes of 79.80%, the hope for future research is how blocks based can inspire people to be creative with IoT so that beginners can build mobile applications integrated with IoT technology.
A Structured Data Wrangling Pipeline for TikTok Datasets Using Pandas Python Agus Suharto; Muhammad Syarif Hartawan
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 1 (2025)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v6i1.397

Abstract

This study aims to develop a structured data wrangling pipeline for TikTok datasets using the Pandas Python library. The purpose of the research is to transform raw social media data into clean, consistent, and analyzable formats that can support academic inquiry into digital engagement patterns.The methodology consists of five stages: data loading, cleansing, transformation, feature engineering, and validation. Raw TikTok data, including video metadata, user interactions (likes, comments, shares), and hashtags, were processed to remove inconsistencies, handle missing values, and standardize formats. Feature engineering was applied to derive analytical variables such as engagement rate, posting frequency, and hashtag clustering. Validation ensured structural integrity, completeness, and consistency of the dataset, enabling reliable statistical analysis. The results demonstrate that systematic wrangling improves dataset quality, enhances interpretability, and enables advanced analysis of user behavior and content trends. By applying Pandas-based operations, the study provides a reproducible framework that bridges technical rigor with methodological transparency. This research contributes to the academic field of social media analytics by offering a practical pipeline for TikTok data preparation. It highlights the importance of data wrangling not merely as a preparatory step, but as a methodological foundation for evidence-based digital research.
Pengembangan Unit Bisnis Dengan Media Digital Yang Terintegrasi Di UMKM Seroja Pabuaran Barat Pondok Karya - Tangerang Selatan Petrus Sianggian; Agus Suharto; Rahmat Hartono
Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Vol 1 No 2 (2025): Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Publisher : PT Jurnal Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Community service in Pondok Karya Village, Pondok Aren District, South Tangerang City, was implemented as an effort to increase the capacity of Micro, Small, and Medium Enterprises (MSMEs) to face the challenges of the digital era. MSMEs in this area show significant potential in the culinary, craft, and service sectors, but remain limited in the use of digital technology for marketing and business management. This community service activity aims to provide training in digital media and online stores, enabling MSMEs to optimize promotional strategies, expand market access, and increase competitiveness. Implementation methods include outreach, technical training on social media and marketplace use, assistance in online store creation, and business sustainability evaluation. The expected outcomes are increased digital literacy among the community, the establishment of active online stores managed by local MSMEs, and the availability of app-based MSME mapping data as a reference for the village government in policymaking. Thus, this program not only supports local economic strengthening but also serves as a model for technology-based community empowerment that can be replicated in other regions.
Co-Authors Abdul Hakim Abdul Hakim Andriansah, Zulfi Arip Kristiyanto Bimantara Ramadhan Fadilah, Muhamad Yudi Fahrudin , Endin Hoga Saragih Hoga Saragih Hoga Saragih Jazuli Muchtar Mardiana Mardiana Muhammad Syarif Hartawan Petrus Sianggian Rahmat Hartono Rahmawati, Iroh Safitri, Helen Salman Farizy Subariah, Risah Zein, Afrizal