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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informasi dan Komputer JURIS (Jurnal Ilmiah Syariah) Ihsan: Jurnal Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi MDP Student Conference Jurnal Sistem Informasi Komputer dan Teknologi Informasi
Muhammad Rachmadi, Muhammad
UIN Sultan Syarif Kasim Riau
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Implementasi SOLID dan Optimalisasi Query pada Aplikasi Pencatatan Kemiskinan Usman, Usman; Widhiarso, Wijang; Rachmadi, Muhammad
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11176

Abstract

This research aims to improve the efficiency and performance of the poverty recording application at the Communication and Information Office of Musi Banyuasin Regency by implementing SOLID design principles and query optimization techniques. Using a quasi-experimental approach, the study compares the system before and after code refactoring, The analysis results indicates that the application of SOLID principles and optimization techniques resulted in reduced volume of source code and improved code recommendations. This resulting application is more modular, efficient, and easier to maintain.
Estimasi Citra Kedalaman Dengan Conditional Random Field (CRF) dan Structured Support Vector Machine (SSVM) Rachmadi, Muhammad; Alamsyah, Derry
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.819 KB) | DOI: 10.29207/resti.v1i3.64

Abstract

Autonomous UAVs typically require systems capable of mapping (segmenting) the region of a colored image. Regional segmentation will be used to determine the existence of obstacles. Segmentation in an image initiated by grouping a number of pixels by color and proximity, with superpixel. Furthermore, the characteristics of each segmented region were extracted using Principal Component Analysis (PCA). Sequential segregation is a process of introducing a region that requires chain information obtained from the introduction before and after it called stochastic process. Solving this is done using Structured Support Vector Machines (SSVM). Meanwhile, to determine the weight in SSVM required a Conditional Random Field (CRF) model. The results show a good accuracy in the segmentation of the region that is 71%.
Pelatihan Peningkatan Pengetahuan Artificial Intelligence Untuk Pengembagan Kurikulum Pembelajaran Guru-Guru SMA Kota Prabumulih Dafid, Dafid; Artina, Nyimas; Keristin, Usniawati; Rachmadi, Muhammad
IHSAN : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2025): Ihsan: Jurnal Pengabdian Masyarakat (April)
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ihsan.v7i1.23830

Abstract

Artificial Intelligence (AI) menjadi salah satu bidang yang semakin relevan dalam dunia pendidikan, khususnya dalam pengembangan kurikulum yang adaptif dan inovatif. Guru sebagai penggerak utama pembelajaran perlu memiliki pemahaman yang memadai tentang AI agar dapat mengintegrasikannya secara efektif dalam proses belajar-mengajar. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan guru SMA di Kota Prabumulih tentang konsep, aplikasi, dan dampak AI dalam pendidikan. Pelatihan dilakukan melalui pendekatan berbasis praktik dan studi kasus, sehingga peserta dapat memahami cara mengimplementasikan AI dalam kurikulum sekolah. Hasil evaluasi menunjukkan peningkatan pemahaman guru terhadap AI dan kesiapan mereka dalam merancang pembelajaran berbasis teknologi. Diharapkan, kegiatan ini dapat menjadi langkah awal dalam transformasi pendidikan berbasis AI di sekolah-sekolah menengah.
Co-Authors Agethie, Muhammad Trisna Angelica, Cornelia Okta Arpan . Dafid Dafid Derry Alamsyah Fendrius, Wilsen Keristin, Usniawati Kurniawan, Wiji Manalu, Josua Muhammad Irfan Muslim Muslim Nyimas Artina Sepriadi, Hilman Usman Usman Widi, Anugerah Wijang Widhiarso Yundari, Yundari