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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknologi Informasi dan Ilmu Komputer JURNAL PENDIDIKAN KEPERAWATAN INDONESIA Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Technomedia Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) Charity : Jurnal Pengabdian Masyarakat Indonesian Community Journal Jurnal Locus Penelitian dan Pengabdian eProceedings of Engineering Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural LOGIC: Jurnal Penelitian Informatika Journal of The Physical Society of Indonesia IJoICT (International Journal on Information and Communication Technology)
Bedy Purnama
Telkom University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Physics Public Health Social Sciences Other

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PEMANFAATAN KECERDASAN BUATAN (AI) UNTUK MENINGKATKAN EFEKTIVITAS PENGAJARAN DI SMK YPPS SUMEDANG Imrona, Mahmud; Purnama, Bedy; Umbara, Rian Febrian; Salim, Dwi Fitrizal
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 6 (2025): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i6.3184

Abstract

Pengabdian ini bertujuan meningkatkan efektivitas pengajaran guru SMK YPPS Sumedang melalui pemanfaatan kecerdasan buatan (AI) sebagai pendukung penyusunan RPP, pengembangan materi ajar, serta evaluasi pembelajaran yang lebih efisien dan adaptif. Metode pengabdian yang digunakan meliputi observasi kebutuhan, pelaksanaan pelatihan berbasis praktik (workshop), demonstrasi penggunaan berbagai aplikasi AI, simulasi penyusunan perangkat ajar berbasis AI, serta pendampingan intensif dalam pengembangan artefak pembelajaran. Hasil pengabdian menunjukkan bahwa peserta memiliki tingkat penerimaan yang sangat baik, dengan seluruh guru menyatakan setuju hingga sangat setuju bahwa program sesuai kebutuhan, tujuan, serta waktu pelaksanaan. Guru mampu mengintegrasikan AI untuk pembuatan soal, perancangan outline pembelajaran, dan analisis hasil belajar, serta menunjukkan peningkatan literasi digital dan kesiapan etis dalam penggunaan AI. Simpulan dari kegiatan ini adalah bahwa pelatihan AI berhasil meningkatkan kompetensi teknopedagogik guru, memperkuat efektivitas pengajaran vokasional, dan mendukung implementasi pembelajaran berbasis teknologi secara berkelanjutan di SMK YPPS Sumedang.
Pose Classification in Archery Sports Based on YoloV8 Using SVM and Random Forest Methods Yuridikta Adha Muslim; Bedy Purnama; Bayu Erfianto
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 1 (2025): Vol. 11 No. 1 Jun 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i1.8996

Abstract

This research creates a YOLOv8-based pose classification system that can analyze and classify the movements of archery athletes. The system is combined with SVM and RF methods, and utilizes YoloV8 pose detection and machine learning techniques to provide more accurate classification. Video data collection, system design and implementation, and analysis of implementation results are some of the stages passed during system development. The process includes joint feature extraction using YOLOv8 and classification for Recurve and Barebow categories using SVM and RF. The test results show the difference in performance between the two classification methods. For the Recurve category, SVM had 90% accuracy for testing, while RF had 87% accuracy for testing. For the Barebow category, SVM had 76% accuracy for testing, while RF had 75% accuracy for testing. In terms of generalization, the two methods differed, with SVM showing better stability between testing and training performance. The results show that SVM is superior when testing when compared to RF which makes an anomaly with previous studies
Usability Of “DFU Application” For Diabetic Foot Ulcer Prevention Purnama, Bedy; Lindayani, Linlin; Mutiar, Astri; Erfianto, Bayu; Darmawati, Irma
Jurnal Pendidikan Keperawatan Indonesia Vol 11, No 1 (2025): Volume 11, Nomor 1, Juni 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpki.v11i1.81809

Abstract

Introduction: The development of smart detection software may help reduce the number of decubitus ulcer infections by enabling early identification and management. Ensuring the usability and effectiveness of such technology is essential before widespread adoption. Objective: This study aimed to explore prospective users’ perceptions of the mobile app for detecting diabetic foot ulcer (DFU) infection, focusing on its usefulness, ease of use, and overall user satisfaction. Methods: The usability of the DFU app was assessed by experienced users. The evaluation included perceived usefulness, ease of use, and overall satisfaction. Standardized tools such as the System Usability Scale (SUS) and a specific app rating scale were used to collect user feedback. Results: The DFU app received usability ratings ranging from 0.50 to 0.88. The lowest rating was for performance quality (Mean = 0.50, SD = 0.12), while the highest was for integrity (Mean = 0.88, SD = 0.07). The overall usability score, as measured by SUS, was considered acceptable (Mean = 78.4, SD = 6.83). Most users reported no significant issues with using the app, except for difficulty understanding the language used in the interface, which was rated as a serious usability issue with a severity score of 3. Conclusions: Users perceived the DFU app as useful and efficient, particularly in detecting the risk of infection. Despite a noted language comprehension issue, the app demonstrated good overall usability and has the potential to support early intervention for decubitus ulcer prevention.
Development of Health Kiosk Prototype for Blood Pressure and Fat Mass Measurement Umiatin, Umiatin; Putri, Pinkan Amanda; Purwalaksana, Ahmad Zatnika; Al Farizy, Firnas; Nurdin, Muhammad; Purnama, Bedy; Ifa, Rista Putri Nur; Abidin, Muhammad
Journal of the Physical Society of Indonesia Vol. 1 No. 2 (2025): October 2025
Publisher : The Physical Society of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35895/jpsi.1.2.76-86.2025

Abstract

Health development in Indonesia faces a double burden of disease, namely infectious and non-communicable diseases (NCDs), with cardiovascular diseases (CVDs) accounting for nearly half of NCD-related deaths. Major CVD risk factors are hypertension and obesity, which can be controlled through routine monitoring of blood pressure and body mass index (BMI). This study aims to develop a health kiosk prototype integrating a sphygmomanometer and BMI–fat analyzer. The research consists of three stages: characterization of sensors for blood pressure and body fat measurement, comparison of proximity sensors, and prototype testing. The MPX5050GP pressure sensor achieved an R² of 1 with a sensitivity of 0.012 volts. Proximity sensor characterization showed R² values of 0.9996 (HC-SR04) and 0.9997 (JSN-SR04T), with sensitivities of 0.9943 cm and 0.9831 cm, respectively. The load cell reached an R² of 1 with a sensitivity of 1.0056 kg, while the AD5933 impedance showed R² = 1 and a sensitivity of 0.9999 Ω. Prototype trials with ten samples indicated that blood pressure, BMI, and fat mass measurements were feasible but not yet optimal, with errors in height measurement and limitations in the blood pressure algorithm. Despite these challenges, the successful integration of the sphygmomanometer and BMI–fat analyzer was achieved.
PELATIHAN PEMANFAATAN KECERDASAN BUATAN UNTUK MERANCANG MODUL AJAR, AKTIVITAS PEMBELAJARAN, DAN ASESMEN PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING BAGI GURU- GURU SMPN 6 KARAWANG BARAT Rian Febrian Umbara; Mahmud Imrona; Bedy Purnama
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 4 No. 1 (2026): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v4i1.3446

Abstract

Pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) dalam pendidikan menjadi strategi penting untuk mendukung peningkatan kualitas perencanaan dan pelaksanaan pembelajaran. Teknologi AI memungkinkan guru merancang modul ajar yang lebih sistematis, mengembangkan aktivitas pembelajaran yang adaptif, serta menyusun asesmen berbasis kompetensi secara lebih efisien. Sejalan dengan penerapan Kurikulum Merdeka dan pendekatan deep learning, guru perlu dipersiapkan agar mampu menerapkan pembelajaran bermakna (meaningful learning), reflektif (mindful learning), dan menyenangkan (joyful learning) secara terintegrasi. Program Pengabdian kepada Masyarakat ini bertujuan meningkatkan kompetensi guru-guru SMPN 6 Karawang Barat dalam memanfaatkan AI sebagai alat bantu dan mitra diskusi dalam perancangan modul ajar, aktivitas pembelajaran, dan asesmen berbasis pendekatan deep learning. Kegiatan dilaksanakan melalui metode workshop, praktik langsung, dan pendampingan, dengan melibatkan 28 guru sebagai peserta. Hasil evaluasi menunjukkan tingkat penerimaan dan kepuasan peserta yang sangat tinggi terhadap kesesuaian program dengan tujuan, kebutuhan sasaran, serta kualitas pelaksanaan kegiatan. Pelatihan ini terbukti meningkatkan literasi digital guru dan kepercayaan diri dalam mengintegrasikan AI ke dalam perencanaan pembelajaran. Luaran kegiatan meliputi peningkatan kompetensi teknopedagogik guru, tersusunnya modul ajar berbantuan AI yang relevan dengan Kurikulum Merdeka, serta publikasi hasil kegiatan dalam bentuk artikel jurnal pengabdian kepada masyarakat, media massa institusi, dan video dokumentasi kegiatan. Program ini diharapkan dapat berkontribusi pada penguatan transformasi digital pendidikan dan pengembangan pembelajaran yang lebih adaptif dan berkelanjutan di lingkungan sekolah
Co-Authors Abidin, Muhammad Ade Romadhony Adhan Mulya Rahmawan Adhyaksa, Resky Adi, Puput Dani Prasetyo Afandi, Rusdi Agung Toto Wibowo Ahmad Zatnika Purwalaksana, Ahmad Zatnika Al Farizy, Firnas Andi Farmadi Andre Sitompul Angga Rusdinar Aprianti Putri Sujana Bambang Pudjoatmodjo Bambang Pudjotatmodjo Bayu Erfianto Bramantya Purbaya Danu Hary Prakoso Darmawati, Irma Ditari Salsabila E. Dodi Wisaksono Sudiharto Dodon Turianto Nugrahadi Dwi Fitrizal Salim Edward Ferdian Ema Rachmawati Ema Rachmawati Ema Rachmawati Entik Insanudin Farid Hidayat Fat'hah Noor Prawira Fat’hah Noor Prawira Fat’hah Noor Prawira Fauzi, Roki Fazmah Arif Yulianto Febryanti Sthevanie Ferdian, Edward Furqoon, Naufal Sayyid Gamma Kosala Gibran, Hilal Gryaningrum Widi Pangestuti Hafidz Al Djohari Ifa, Rista Putri Nur Imamul Akhyar Irwan Budiman Ismail Ismail Koredianto Usman Labib, Fahdi Lindayani, Linlin Mahmud Dwi Sulistiyo Mahmud Imrona Marliani Harahap Muhammad Arzaki Muhammad Jendro Yuwono Muhammad Jendro Yuwono Muhammad Nurdin Muhammad Reza Faisal, Muhammad Reza Muhammad Shafhi Kasyfillah Mutiar, Astri Ngo, Luu Duc Pangestu, Arya Priyatama, Muhammad Abdhi Pudjoadmojo, Bambang Purbaya, Bramantya Putra, Bima Andika Putri, Pinkan Amanda Putu Harry Gunawan Rahmawan, Adhan Mulya Reza Dwi Ansari Rian Febrian Umbara Rikman Aherliwan Rudawan Rimba Whidiana Ciptasari Risnandar, Risnandar Rivan Ardyanto Sutoyo Selly Meliana Setyorini Setyorini Sonia Dian Maniswari Tito Prihambodo Tjokorda Agung Budi Wirayuda Umiatin, Umiatin Wirawan, Ilo Raditio Yuridikta Adha Muslim