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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Innovation and Future Technology (IFTECH) Teknika Information System Journal (INFOS) Jurnal Pengabdian Masyarakat Bhinneka Intechno Journal : Information Technology Journal SWAGATI: Journal of Community Service
Bagus Setya
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Public Health Social Sciences Other

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GAME EDUKASI HURUF HIJAIYAH BERBASIS DESKTOP DI TPQ ANWARUSSALAM YOGYAKARTA Agung Nugroho; Bagus Setya; Firman Asharudin
Information System Journal Vol. 5 No. 2 (2022): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2022v5i2.988

Abstract

Taman Pendidikan Al-Qur’an (TPQ) adalah lembaga non-formal yang berperan menyelenggarakan pendidikan ilmu agama islam kepada anak-anak sejak dini. Dari kata “taman” yang dipergunakan, diharapkan lembaga tersebut mampu menyelenggararakan kegitanya dalam suasana yang Indah, Bersih, Rapi, Nyaman, dan Menyenangkan sebagai cerminan nilai simbolis dan filosofis. Untuk mendukung kegiatan belajar mengajar di Taman Pendidikan Al-Qur’an, penulis membuat sebuah media pembelajaran berupa game edukasi. Game edukasi yang dibuat yaitu tentang pengenalan huruf hijaiyah menggunakan metode Game Development Life Cycle (GDLC). Dengan game ini guru bisa mengkolaborasikan metode mengajarnya dengan game yang dibuat. Harapannya game ini nantinya mampu memberikan nuansa dsantai dan menyenangkan kepada anak-anak dalam belajar huruf hijaiyah.
Peningkatan Kompetensi Sekolah Dalam Memahami Dan Merancang Kampanye Media Sosial Yang Efektif Diana, Merlin; Setya, Bagus; Ikhwan, Ikhwan
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.999

Abstract

Media sosial telah menjadi alat komunikasi dan promosi yang sangat penting, termasuk bagi institusi pendidikan, seperti SMAIT Bait Et Tauhied. Banyak sekolah menghadapi tantangan dalam memanfaatkan media sosial untuk membangun citra positif, meningkatkan interaksi dengan orang tua/siswa, dan mendukung proses Penerimaan Peserta Didik Baru (PPDB). Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi siswa atau guru dalam mengelola media sosial dalam merancang dan melaksanakan kampanye media sosial yang efektif melalui pelatihan yang berfokus pada pemahaman mendalam mengenai tujuan strategis penggunaan media sosial sekolah, perancangan konten dan narasi yang menarik dan sesuai norma pendidikan, teknik penargetan audiens (siswa, orang tua, masyarakat), dan metodologi evaluasi kinerja kampanye. Metode yang digunakan adalah metode  deskriptif kualitatif  dengan pendekatan  studi kasus yang fokus pada strategi pembuatan dan evaluasi konten media sosial. Pengumpulan  data  dilakukan  menggunakan  kuesioner  untuk  mengetahui pemahaman siswa dan guru mengenai strategi, perancangan konten, riset serta evaluasi konten dalam mengelola media sosial. Luaran utama yang diharapkan adalah terbentuknya tim pengelola media sosial sekolah yang kompeten dan tersusunnya minimal satu draft Kampanye Media Sosial yang siap diimplementasikan dan mampu meningkatkan daya tarik dan citra positif sekolah.
AUDIT KEAMANAN SISTEM INFORMASI DENGAN COBIT 2019 PADA DOMAIN APO13 DI PT SARASWANTI INDOLAND DEVELOPMENT TBK Bagus Setya; Feby Charlos; Lisdianto Dwi Kesumahadi
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4476

Abstract

This study aims to evaluate the quality of data and information security at PT Saraswanti Indoland Development Tbk through the development of an Information System (IS) based on the COBIT 2019 framework. Data and information security play a critical role in maintaining business continuity in the current digital era, particularly for companies operating in the property development industry such as PT Saraswanti Indoland Development Tbk. The selection of COBIT 2019 is based on its comprehensive approach to information system security, encompassing areas such as planning and organization, acquisition and implementation, delivery and support, as well as monitoring and evaluation. The objective of this research is to identify weaknesses in existing information system procedures, specifically focusing on data and information security, and to provide recommendations for improvement measures that can be implemented to strengthen security practices. This study employs a qualitative analysis method conducted through in-depth interviews with key stakeholders and the distribution of questionnaires. Based on the findings, recommendations for the design of an information system security framework with more stringent security standards are formulated. By implementing an information system security audit designed in accordance with COBIT 2019, PT Saraswanti Indoland Development Tbk aims to enhance the quality of data and information security, thereby supporting the company’s long-term sustainability and growth.
BUSINESS PROCESS REENGINEERING MODELING FOR ERP SYSTEM IMPLEMENTATION AT YOGYAKARTA SPECIAL PROVINCE HEALTH AGENCY Feby Charlos; Lisdianto Dwi Kesumahadi; Bagus Setya
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4481

Abstract

The implementation of Enterprise Resource Planning (ERP) systems in public health organizations is crucial for improving operational efficiency, integrating data, and enhancing service transparency. However, the challenges of digital transformation and bureaucratic processes require ongoing improvements through Business Process Reengineering (BPR). This study focuses on modeling the ERP system at the Health Agency of Yogyakarta Special Province, based on data from 2013–2014, and aligns it with Indonesia’s digital transformation initiatives in the health sector for 2025. Using a descriptive-analytic approach, the research employs BPR methodology to identify inefficiencies and propose optimized ERP workflows. The analysis includes process mapping, gap analysis, and functional modeling, ensuring alignment with national e-Government strategies.The findings show that the existing ERP system has effectively integrated data flows across administrative units. However, specific modules, especially in human resources and medical logistics, require reengineering to enhance real-time data exchange and decision-making. The study highlights the importance of combining ERP systems with BPR to continuously improve digital maturity and support data-driven governance in regional health institutions. This research contributes both a conceptual and practical framework for modernizing ERP systems within Indonesia’s public health sector, providing
IT GOVERNANCE DESIGN IN IMPROVING THE QUALITY OF DATA AND INFORMATION SECURITY USING COBIT 2019 Setya, Bagus; Muhammad, Alva Hendi; Kurniawan, Mei Parwanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6509

Abstract

This study aims to enhance the quality of data and information security at PT XYZ by developing Information Technology (I.T.) governance based on the C.O.B.I.T. 2019 framework. Data and information security are of utmost importance for Business Continuity in the contemporary digital age, particularly for companies operating in the property development industry, such as PT XYZ. The selection of C.O.B.I.T. 2019 as the framework is based on its comprehensive approach to I.T. governance, encompassing areas such as planning and organizing, acquisition and implementation, delivery and support, and monitoring and evaluation. The objective of this research is to pinpoint deficiencies in existing I.T. governance procedures and provide suggestions for improved measures that may be implemented to strengthen data and information security. The study entails qualitative analysis conducted through comprehensive interviews with essential stakeholders and examination of pertinent documents. An action plan is established based on the findings, which entails deploying an I.T. governance team and formulating more stringent security standards. By implementing the I.T. governance plan derived from C.O.B.I.T. 2019, PT XYZ aims to enhance the quality of data and information security, thus bolstering the company’s long-term viability and expansion
Implementation of Scratch Training to Improve Computational Thinking-Based Algorithm Skills of Students of SMA Negeri 1 Warunggunung Bagus Setya; Arip Kristiyanto
SWAGATI : Journal of Community Service Vol. 4 No. 2 (2026): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2026v4i2.2727

Abstract

The rapid development of digital technology requires students to possess 21st-century skills such as critical thinking, creativity, collaboration, and digital literacy. One of the efforts to develop these skills is through the introduction of basic programming (coding), which can enhance computational thinking, logical reasoning, and problem-solving abilities. However, in reality, many high school students still have limited understanding of basic programming concepts. Therefore, this community service program aims to improve students' understanding of basic programming concepts and develop their computational thinking skills through coding training using Scratch. The method used in this activity consists of several stages, including problem identification, needs analysis, training program design, training implementation, and activity evaluation. The training was conducted at SMA Negeri 1 Warunggunung involving teachers and students as participants. The training method applied is learning by doing, which includes material presentation, hands-on practice in creating simple projects using Scratch, and evaluation through pre-test and post-test to measure participants’ improvement in understanding. The expected results of this activity are an increase in students’ understanding of basic programming concepts, improvement in computational thinking skills, and enhancement of 21st-century skills such as creativity, collaboration, and problem-solving. In addition, this activity is expected to contribute to the development of technology-based learning in schools and support the creation of a better digital literacy ecosystem within the school environment.
A Random Forest Approach for Classifying Regional Social Stability in Banten Province Based on Socioeconomic Indicators Widyawati; Ika Ima Nissa; Bagus Setya; Lisdianto Dwi Kesumahadi; Yuda Pratama Wibawa
Teknika Vol. 15 No. 2 (2026): July 2026
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v15i2.1490

Abstract

Social stability is an important indicator in measuring regional welfare and development conditions. This study aims to classify the level of social stability in Banten Province using the Random Forest method based on several social indicators, including poverty, unemployment, Human Development Index (HDI), HDI percentage growth, Gini Ratio, population density, and average years of schooling (RLS). The dataset used in this study was obtained from the regency and city social statistical data in Banten Province from 2020 to 2025. The research process was carried out through several stages, namely data collection, data preprocessing, social stability label determination, splitting training and testing data, Random Forest modeling, model evaluation, feature importance analysis, and result visualization using the Python programming language. The Random Forest algorithm was selected because of its ability to perform classification effectively and reduce overfitting in classification models. The evaluation results showed that the Random Forest model achieved an accuracy value of 100%, with precision, recall, and F1-score values of 1.00. In addition, the feature importance analysis indicated that the unemployment variable had the strongest influence on the classification results, followed by HDI and poverty variables, while the Gini Ratio had the lowest influence. The findings of this study indicate that the Random Forest method can be effectively applied to classify regional social stability in Banten Province based on social indicators and can support data-driven regional policy analysis.
Sentiment Analysis and Emotion Detection of ChatGPT Users on Google Play Store Using the Naïve Bayes Algorithm Bagus Setya; Merlin Diana; Ikhwan Ikhwan
Intechno Journal : Information Technology Journal Vol. 8 No. 1 (2026): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2026v8i1.2886

Abstract

With the rapid adoption of artificial intelligence applications such as ChatGPT, understanding both users' sentiments and emotional expressions has become increasingly important for evaluating user experience and improving service quality. This study aims to analyze user sentiment and identify emotional tendencies expressed in Google Play Store reviews of the ChatGPT application. Methods: A total of 10,000 user reviews were collected through web scraping from the Google Play Store. The collected data underwent several preprocessing stages, including data cleaning, case folding, tokenization, normalization, stopword removal, and stemming. Sentiment analysis was performed using the Multinomial Naïve Bayes algorithm to classify reviews into positive, neutral, and negative categories. Emotion detection was subsequently conducted by interpreting dominant lexical patterns and frequently occurring terms within each sentiment category through Word Cloud visualization, enabling the identification of users' emotional tendencies rather than direct emotion classification. Model performance was evaluated using accuracy, precision, recall, and F1-score. Results: The sentiment distribution showed that 84.7% of the reviews were classified as positive, 3.9% as neutral, and 11.4% as negative. The best-performing model, using an 80:20 train–test split, achieved an accuracy of 86.8%, precision of 83.8%, recall of 86.8%, and an F1-score of 82.0%. The emotion detection results revealed that positive reviews were dominated by words reflecting satisfaction, usefulness, and productivity, whereas negative reviews mainly expressed frustration related to subscription costs, system errors, and application performance. Novelty: Unlike previous studies that primarily focused on sentiment classification, this research combines machine learning-based sentiment analysis with lexical interpretation of emotional tendencies derived from user-generated reviews. This integrated approach provides a more comprehensive understanding of users' perceptions and emotional responses toward ChatGPT, offering practical insights for improving AI-based application services.
Co-Authors Agung Nugroho Alva Hendi Muhammad Arip Kristiyanto Asharudin, Firman Diana, Merlin Feby Charlos Ika Ima Nissa Ikhwan Ikhwan Lisdianto Dwi Kesumahadi Lisdianto Dwi Kesumahadi MEI PARWANTO KURNIAWAN Merlin Diana Widyawati Yuda Pratama Wibawa