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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Informatika (JUTIF) Community Education Engagement Journal Jurnal Pengabdian Masyarakat Sains dan Teknologi
Andi Cahyono
Informatika Medis, Universitas Sains Dan Teknologi Indonesia, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Education Electrical & Electronics Engineering Library & Information Science Social Sciences Other

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Sosialisasi Peran Informatika Medis dalam Dunia Teknologi dan Kesehatan pada Siswa SMK Sulthan Muazzam Syah Pekanbaru Andi Cahyono; Ervira Dwiaprini As Syifa; Tarbiah Nurjanah; Dwi Indah Purnama; Sri Utami Rizta
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 3 No. 4 (2024): Desember : Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v3i4.620

Abstract

The community service titled Socialization of the Role of Medical Informatics in Technology and Healthcare for Students of SMK Sulthan Muazzam Syah Pekanbaru aims to enhance students' understanding of the importance of information technology in the medical field. This activity was held on campus, focusing on the application of information technology in improving the efficiency, accuracy, and speed of healthcare services. The socialization involved 30 students who actively participated through interactive presentations and simulations of medical technology use cases. The methods used included visual presentations and open discussions about the role of technology in medical diagnosis and data management. Students were also given the opportunity to ask questions regarding career opportunities in the field of medical informatics. The results showed an increased understanding among students about the role of information technology in healthcare, with positive responses concerning career prospects in this field. This activity is expected to motivate students to explore further the application of information technology in the healthcare sector. Future activities are recommended to include more in-depth workshops or technical training in medical informatics.
Comparison of KNN and Random Forest Algorithms on E-Commerce Service Chatbot Zamakhsyari, Fardan; Makayasa, Bagas Adi; Hamami, R. Abudullah; Akbar, Muhammad Tulus; Cahyono, Andi; Amirullah, Amirullah; Hisyamuddin, Muhammad Zida; Siregar, Maria Ulfah
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 1 (2025): January 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.1.100-109

Abstract

Technology has a profound influence on our lives, with the expansion of e-commerce being a significant outcome that warrants attention. Given the prevalence of smartphones equipped with messaging apps and fast networks, people often utilize these platforms to communicate with sellers, offering a convenient way for sellers to engage efficiently with a diverse customer base. Recognizing this trend, there is a need for digital transformation of services to improve operational efficiency. Thus, this study aimed to compare the efficiency of classification algorithms in e-commerce service chatbots. The researcher employed machine learning techniques, specifically KNN and Random Forest algorithms, in this case. To assess the feasibility of the application, the chatbot results will be tested using the confusion matrix method to determine accuracy. From this study, it was found that the KNN method, combined with calculating word weight using TF-IDF, produces an accuracy value of 71.4%, thus confirming its feasibility.
Pelatihan Pengenalan Monetisasi Aplikasi di Google Play Store untuk Siswa SMK Global Cendekia dalam Pengembangan Aplikasi Mobile Gunadi, Gunadi; Kudadiri, Parlindungan; Nasution, Torkis; Efendi, Yoyon; Cahyono, Andi
Community Education Engagement Journal Vol. 7 No. 1 (2025): October
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ceej.v7i1.24758

Abstract

Era digital saat ini membuka peluang besar bagi generasi muda, terutama siswa Sekolah Menengah Kejuruan (SMK), untuk berinovasi dalam pengembangan aplikasi mobile. Namun, pemahaman terkait monetisasi aplikasi, khususnya melalui platform Google Play Store, masih minim. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan pelatihan kepada siswa SMK Global Cendekia mengenai konsep, strategi, dan implementasi monetisasi aplikasi mobile agar karya mereka memiliki nilai ekonomi. Materi yang diberikan meliputi pengenalan jenis-jenis monetisasi aplikasi seperti iklan menggunakan Google AdMob, model freemium, dan berbayar. Selain itu, siswa diajarkan langkah-langkah teknis untuk mempersiapkan aplikasi agar dapat dipublikasikan di Google Play Store. Hasil kegiatan ini menunjukkan peningkatan pemahaman siswa terkait strategi monetisasi aplikasi dan keterampilan teknis dalam memanfaatkan platform Google Play Store. Siswa mampu menghasilkan aplikasi sederhana yang siap untuk dipublikasikan dengan penerapan strategi monetisasi dasar. Luaran ini diharapkan dapat memberikan bekal bagi siswa untuk memanfaatkan peluang ekonomi digital serta meningkatkan kreativitas dan inovasi di bidang teknologi informasi. Melalui kegiatan ini, siswa didorong untuk tidak hanya fokus pada pengembangan teknis aplikasi, tetapi juga memahami aspek bisnis digital yang relevan dengan tuntutan industri saat ini.
Calibration and Applied Statistical Modeling Using Logistic Regression on the UCI Heart Disease Dataset Cahyono, Andi; Ameriza, Inkha; Gunadi, Gunadi; As Syifa, Ervira Dwiaprini; Alqudah, Mashal Kasem
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11853

Abstract

Accurate and well-calibrated heart disease risk prediction is essential for supporting medical decision-making. This study analyzes Logistic Regression as an applied statistical model for heart disease prediction using the UCI Heart Disease dataset. Beyond discrimination metrics, we explicitly focus on probability reliability by evaluating calibration through the Brier score, calibration slope, and intercept, and by quantifying the impact of post-hoc calibration (isotonic regression and Platt scaling) on both calibration and discrimination. Model validation was conducted using stratified 5-fold cross-validation with AUROC, AUPRC, accuracy, and F1-score as evaluation metrics. The results show that Logistic Regression achieved competitive performance (AUROC 0.903; AUPRC 0.911; Accuracy 0.822; F1-score 0.835) with well-calibrated probability estimates relative to Random Forest and Gradient Boosting under the evaluated setting. Feature importance analysis using permutation methods identified chest pain type, number of major vessels (ca), ST depression (oldpeak), and exercise-induced angina (exang) as key predictors consistent with clinical literature. These findings indicate that simple applied statistical modeling, when paired with rigorous calibration assessment, can provide interpretable risk estimates that are more suitable for threshold-based decision support in early heart disease screening.
Bandwidth Prediction in Zoom Meetings: A Mathematical Model Based on Feature Configuration Analysis Cahyono, Andi; Nuruzzaman, Muhammad Taufiq; Sugiantoro, Bambang; Sumarsono, Sumarsono
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.4138

Abstract

Video conferencing applications such as Zoom Meeting require sufficient and stable bandwidth to maintain communication quality. However, bandwidth needs often vary depending on user configurations, including video resolution, audio bitrate, and content-sharing activity. This study aims to develop a mathematical formula capable of accurately estimating bandwidth requirements for Zoom Meeting sessions. The methodology combines quantitative experiments and numerical simulations by collecting throughput data using Wireshark, analysing feature-based parameter variations, and validating the proposed formula through MATLAB simulation. Data were obtained from multiple Zoom sessions executed under controlled conditions with different feature combinations and replicated twenty times to ensure accuracy. The validation results show that the formula consistently provides realistic and stable estimations when compared with actual throughput measurements and simulation outcomes. The proposed model offers a simple yet effective tool for predicting bandwidth requirements, supporting efficient network capacity planning, and enhancing the overall performance of video conferencing environments.
Co-Authors Akbar, Muhammad Tulus Alqudah, Mashal Kasem Ameriza, Inkha Amirullah -, Amirullah As Syifa, Ervira Dwiaprini Bambang Sugiantoro Dwi Indah Purnama Ervira Dwiaprini As Syifa Gunadi Gunadi Hamami, R. Abudullah Hisyamuddin, Muhammad Zida Kudadiri, Parlindungan Makayasa, Bagas Adi Maria Ulfah Siregar Nuruzzaman, Muhammad Taufiq Sri Utami Rizta Sumarsono Sumarsono Tarbiah Nurjanah Torkis Nasution Yoyon Efendi Zamakhsyari, Fardan