Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer International Journal of Educational and Life Sciences (IJELS)
Wiyanto
Universitas Pelita Bangsa
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Implementasi QRCode Absensi Karyawan Menggunakan Metode Waterfall pada PT. Jaya Sahabat Anda Ari Almali Bari; Muhammad Najamuddin Dwi Miharja; Wiyanto
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 4 (2025): Volume 9 Nomor 4 Oktober 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i4.15417

Abstract

Perkembangan teknologi informasi mendorong perusahaan untuk meningkatkan efektivitas sistem administrasi, termasuk dalam pengelolaan absensi karyawan. PT. Jaya Sahabat Anda masih menggunakan metode absensi manual yang rawan kesalahan pencatatan, keterlambatan rekapitulasi, dan risiko manipulasi data. Tujuan penelitian ini adalah menerapkan sistem absensi menggunakan teknologi QRCode yang dapat memberikan solusi lebih efisien, akurat, dan transparan dalam pencatatan kehadiran karyawan. Metode digunakan adalah Waterfall, yang terdiri dari tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, hingga pemeliharaan. Hasilnya menunjukkan bahwa sistem absensi berbasis QRCode mampu mempermudah proses pencatatan kehadiran dengan meminimalisasi human error, mempercepat proses rekapitulasi data absensi, serta meningkatkan keamanan data dengan autentikasi unik setiap karyawan. Implementasi sistem ini juga mendukung proses evaluasi kinerja yang lebih objektif melalui data kehadiran yang terintegrasi. Implikasi penelitian ini adalah perusahaan dapat mengoptimalkan sistem absen dengan memanfaatkan teknologi digital, sekaligus meningkatkan disiplin dan produktivitas karyawan. Dengan demikian, sistem absensi berbasis QRCode yang dibangun dengan metode Waterfall dapat dijadikan sebagai alternatif solusi modern untuk menggantikan sistem manual yang kurang efektif.
COMPARATIVE ANALYSIS OF CLASSIFICATION ALGORITHMS IN HANDLING IMBALANCED DATA WITH SMOTE OVERSAMPLING APPROACH Agung Nugroho; Wiyanto; Donny Maulana
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6956

Abstract

Most machine learning algorithms tend to yield optimal results when trained on datasets with balanced class proportions. However, their performance usually declines when applied to data with significant class imbalance. To address this issue, this study utilizes the Synthetic Minority Oversampling Technique (SMOTE) to improve class distribution before model training. Several classification algorithms were employed, including Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, and Random Forest. Experimental results reveal that the Random Forest model produced the highest accuracy (95.70%) and the best F1-score, demonstrating a well-balanced trade-off between precision and recall. In contrast, the Logistic Regression algorithm achieved the highest recall (74.20%), indicating better sensitivity in identifying positive instances despite a lower F1-score. These outcomes highlight the importance of choosing appropriate classification methods based on the specific evaluation goals whether prioritizing accuracy, recall, or overall model balance.
User System Analysis on the Shopee Pay Digital Wallet Application Using the Ueq Method Abdul Rahman; Wiyanto; Muhamad Fatchan
International Journal of Educational and Life Sciences Vol. 3 No. 1 (2025): January 2025
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v3i1.170

Abstract

This study evaluates the user experience of the ShopeePay digital wallet application using the User Experience Questionnaire (UEQ) method. The research assessed six dimensions of user experience: attractiveness, clarity, efficiency, reliability, stimulation, and novelty, using a questionnaire completed by 100 active users aged 18-35. Results revealed that ShopeePay provides a positive user experience, with the highest scores for attractiveness (4.43) and clarity (4.45), indicating an appealing and user-friendly design. Despite strong performance, issues such as less intuitive navigation and limited personalization options were identified. Recommendations include improving navigation structure, adding features such as expense analysis and reminders, and offering personalization options to enhance user satisfaction.
Co-Authors Abdul Rahman Agung Nugroho Ari Almali Bari Donny Maulana Muhamad Fatchan Muhammad Najamuddin Dwi Miharja