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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Building of Informatics, Technology and Science Journal of Applied Business and Technology Jurnal Informatika dan Rekayasa Komputer The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat Unama Akademika
M Irwan Bustami
Universitas Dinamika Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

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Design of the Attendance System using RFID and Similarity Metric Learning at Universitas Dinamika Bangsa Toscany, Afrizal; Rahim, Abdul; Bustami, Irwan; Sadikin, Ali
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3033

Abstract

Admission of new students at Universitas Dinamika Bangsa has a significant increase, so that the number of active students on campus becomes more. This has an impact on the recapitulation process of lecture absence by study staff to be longer than before, due to the calculation process that is done manually. This research will create a system designed to increase efficiency in lecture attendance activities by presenting an attendance system equipped with an RFID (Radio Frequency Identification) Reader and camera. In addition to the process of digitization of attendance data will be added similiarity metric learning method for validation of student absences that are done periodically. The method to be used in system development is prototyping. This research resulted in a system design with UML modeling and absentee device design.
PELATIHAN PENGENDALIAN LED MENGGUNAKAN MIKROKONTROLER ESP8266 BERBASIS WEB PADA SISWA SMA NEGERI 6 TANJUNG JABUNG BARAT Yaasin, Muhammad; Pratama, Yovi; Bustami, M. Irwan; Prananda, Trio
Jurnal Pengabdian Masyarakat UNAMA Vol 5 No 1 (2026): JPMU Volume 5 Nomor 1 April 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jpmu.2026.5.1.2774

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa dalam pengendalian LED menggunakan mikrokontroler ESP8266 berbasis web di SMA Negeri 6 Tanjung Jabung Barat. Metode pelaksanaan dilakukan melalui pendekatan teori dan praktik langsung, meliputi pengenalan konsep IoT, instalasi perangkat, pemrograman menggunakan Arduino IDE, serta pengujian sistem kendali berbasis web. Hasil kegiatan menunjukkan adanya peningkatan pemahaman siswa berdasarkan hasil pre-test dan post-test. Kegiatan ini diharapkan dapat menumbuhkan minat dan kreativitas siswa dalam bidang teknologi digital
Evaluasi SMOTE dan SMOTE+Tomek untuk Mengatasi Ketidakseimbangan Kelas pada Prediksi Stunting Balita Berbasis Pembelajaran Mesin Marrylinteri; M. Irwan Bustami; Irawan Irawan; Maria Rosario B; Sansan Rosita
JURNAL AKADEMIKA Vol 18 No 2 (2026): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/sajy3k06

Abstract

Class imbalance is a recurring obstacle in machine learning based screening of child nutritional status. This study evaluates and compares the effect of SMOTE and SMOTE+Tomek Links on the classification of toddler nutritional status using K-Nearest Neighbours (KNN) and Random Forest (RF). The data consist of 9,426 anthropometric records with four predictors, labelled into three classes: normal (7,212; 76.51%), moderate stunting (1,612; 17.10%) and severe stunting (602; 6.39%), a majority to minority ratio of about 12:1. Min-Max scaling and resampling were fitted on training data only, inside a pipeline, and the models were assessed on an independent 20% test set (n = 1,886) with stratified 5-fold cross validation. At baseline, RF reached 0.975 accuracy and 0.932 macro-F1, while KNN displayed an accuracy paradox: 0.913 accuracy but only 0.392 recall on severe stunting (47 of 120 cases). SMOTE raised KNN recall to 0.733 and macro-F1 from 0.753 to 0.816. For RF, SMOTE improved both criteria at once: recall rose from 0.825 to 0.908 (99 to 109 cases) and macro-F1 from 0.932 to 0.949. SMOTE+Tomek performed almost identically, removing only 30 of 17,307 training samples. RF with SMOTE is therefore recommended
Co-Authors Abdul Rahim Abdul Rahim Afrizal Nehemia Toscany Ali Sadikin Ali Sadikin Arahmad Taupiq Arjuna Panji Prakarsa Cahyana Putra Pratama Chindra Saputra Desi Kisbianty Desi Kisbianty Desi Kisbianty, Desi Ido Fitra Ramadhan Irawan Irawan Istoningtyas , Marrylinteri Janu Hadi Susilo Joshua Sitompul Jumersyah Pratama, Raka KARMAN, ZULFI Kibianty, Desi Kisbianty , Desi Kustiansyah, Anggy Maria Rosario B Marrylinteri MUHAMMAD SURYA Nugroho, M. Restu Pareza Alam Jusia Prananda, Trio Randa, Wahidul Sansan Rosita SIKA, XAVERIUS Sutoyo, Mochammad Arief Hermawan taupiq, Arahmad Wahyu Nugraha WILLY RIYADI Xaverius Sika Yaasin, Muhammad YOSE, IMELDA Yovi Pratama Zainal Muttaqin