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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal TEKNIK INFORMATIKA Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Annual Research Seminar Jurnal Pengabdian UntukMu NegeRI Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Applied Engineering and Technological Science (JAETS) Computer Science and Information Technologies Sriwijaya Journal of Informatics and Applications Jurnal Pendidikan dan Teknologi Indonesia Jurnal Abdi Masyarakat Indonesia Jurnal Pengabdian West Science Jurnal Abdimas Maduma Jurnal Elektronika dan Telekomunikasi
Hadipurnawan Satria
Department Of Informatics, Faculty Of Computer Science, Universitas Sriwijaya
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Pose Estimation Frameworks in Healthcare: A Systematic Review Egga Asoka Asoka; Fathoni Fathoni; Hadipurnawan Satria; Indra Griha Tofik Isa
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9779

Abstract

Human pose estimation has become increasingly important in healthcare applications such as fall detection, gait analysis, and rehabilitation monitoring. However, existing systematic reviews remain fragmented and largely descriptive, with limited comparative benchmarking and insufficient attention to clinical validation. This study addresses this gap by providing a structured comparison of major pose estimation frameworks in healthcare contexts. A systematic literature review was conducted using the PICOC framework and PRISMA guidelines. Studies published between 2020 and 2025 were retrieved from Scopus, Web of Science, IEEE Xplore, and PubMed based on predefined inclusion and exclusion criteria. Following screening and quality assessment, 41 studies were included in the final analysis. The results indicate that framework performance varies according to application requirements. OpenPose offers high anatomical precision but requires substantial computational resources, whereas MoveNet and MediaPipe enable real-time performance with lower latency, making them suitable for mobile and telehealth settings. Nevertheless, the evidence remains heterogeneous, with challenges related to occlusion, lighting variability, lack of standardized datasets, and limited real-world clinical validation. This study contributes by providing a theoretical synthesis and practical guidance for selecting appropriate pose estimation frameworks in healthcare applications.
Malware Detection in Portable Document Format (PDF) Files with Byte Frequency Distribution (BFD) and Support Vector Machine (SVM) Heru Saputra; Deris Stiawan; Hadipurnawan Satria
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27559

Abstract

Portable Document Format (PDF) files as well as files in several other formats such as (.docx, .hwp and .jpg) are often used to conduct cyber attacks. According to VirusTotal, PDF ranks fourth among document files that are frequently used to spread malware in 2020. Malware detection is challenging partly because of its ability to stay hidden and adapt its own code and thus requiring new smarter methods to detect. Therefore, outdated detection and classification methods become less effective. Nowadays, one of such methods that can be used to detect PDF files infected with malware is a machine learning approach. In this research, the Support Vector Machine (SVM) algorithm was used to detect PDF malware because of its ability to process non-linear data, and in some studies, SVM produces the best accuracy. In the process, the file was converted into byte format and then presented in Byte Frequency Distribution (BFD). To reduce the dimensions of the features, the Sequential Forward Selection (SFS) method was used. After the features are selected, the next stage is SVM to train the model. The performance obtained using the proposed method was quite good, as evidenced by the accuracy obtained in this study, which was 99.11% with an F1 score of 99.65%. The contributions of this research are new approaches to detect PDF malware which is using BFD and SVM algorithm, and using SFS to perform feature selection with the purpose of improving model performance. To this end, this proposed system can be an alternative to detect PDF malware.
Tutorial Pembuatan Aplikasi Android untuk E-Commerce bagi Mahasiswa PGRI secara Luring dan Mahasiswa Sumsel secara Daring Assaidah, Assaidah; Satria, Hadipurnawan; Ariani, Menik; Saleh, Khairul; Satya, Octavianus Cakra; Kaban, Hadir; Jorena, Jorena
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 1 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i1.11201

Abstract

Kegiatan workshop Pembuatan Aplikasi Android untuk E-Commerce telah dilakukan secara luring dan daring pada Hari Sabtu, Tanggal 15 November 2025. Tim pelaksana dari Jurusan Fisika FMIPA Universitas Sriwijaya disambut hangat oleh Dekan Fakultas Sains dan Teknologi Universitas PGRI sesaat sebelum pelatihan dimulai. Terdapat 30 orang mahasiswa PGRI yang hadir pada pelatihan ini. Dari daftar hadir peserta daring, dapat diketahui peserta merupakan mahasiswa yang berasal dari Kampus Universitas Sriwijaya sebanyak 38 orang, dari kampus PGRI sebanyak 21 orang dan dari Kampus Universitas Lembah Dempo sebanyak 2 orang. Kegiatan ini diharapkan dapat berlanjut lewat program komunitas RULIKOFI (Rumah Literasi Koding Fisika). Pelatihan ini berlanjut dalam bentuk pendampingan melalui grup Whatsapp yang dikelola oleh anggota RULIKOFI. Peserta dapat bertanya jika terdapat kendala dalam memahami materi pelatihan untuk dapat menghasilkan karya aplikasi Android yang menarik dan fungsional.
Co-Authors Abdurahman Ahmad Nizar Ahmad Zarkasi Anggina, Edith Anggun Islami Arnaldo, Muhammad Arnelawati Arnelawati Arnelawati, Arnelawati Assaidah Assaidah, Assaidah Deris Stiawan Dian Palupi Rini Egga Asoka Egga Asoka Asoka Ermatita - Fathoni Fathoni Fathoni Fathoni Hadir Kaban, Hadir Hasby Rifky Heru Saputra Indra Griha Tofik Isa Iskandar, Ananda Haykel Islami, Anggun Jambak, Muhammad Ihsan Jorena Jorena, Jorena Julian Supardi Julian Supardi Khairul Saleh M. Nazhif Rizani Mohammad Eko Fitrianto Muhammad Afif Muhammad Arnaldo Muhammad Fachrurrozi Muhammad Ichsan Hadjri Muhammad Naufal Rachmatullah Muhammad Qurhanul Rizqie Muhammad Qurhanul Rizqie Nugraha, Wibisena Nuzulastri, Sari Octavianus Cakra Satya Osvari Arsalan Philip Alger M. Serrano Primanita, Anggina Rahmat Budiarto Richardo, M Denny Rifkie Primartha Rizki Kurniati Samsuryadi Sahmin Samsuryadi Samsuryadi Samsuryadi Samsuryadi Serrano, Philip Alger M. Siti Nurmaini Sony Oktapriandi Sutarno Sutarno Syahroyni, Muhammad Widya Aprilini Yos Karimudin