Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Komputer dan Teknologi (JUKOMTEK)
Haris Abu Bakar Sidik
STMIK Pamitran
Computer Science & IT Library & Information Science

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

Found 3 Documents
Search

 1 
PERANCANGAN SISTEM INFORMASI PENGGAJIAN KARYAWAN BERBASIS APLIKASI PADA BEBEBEGROW MONTESSORI KARAWANG Jessica Meilaneva; Haris Abu Bakar Sidik; Okto Kurnia
Jurnal Komputer dan Teknologi Vol 4 No 1 (2025): JUKOMTEK JANUARI 2025
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58290/jukomtek.v4i1.325

Abstract

Sistem penggajian merupakan proses yang digunakan Perusahaan mengatur segala sesuatu yang berkaitan dengan proses pembayaran upah karyawan. Sistem penggajian di Bebebegrow dinilai kurang efektif dikarenakan pencatatan kehadiran karyawan, perhitunggan lembur & kompensasi karyawan masih tercatat secara manual atau pembukuan sehingga mudah rusak dan hilang. Penelitian ini bertujuan untuk membuat perancangan sistem, menganalisis dan menguji sistem serta mengimplementasikan sistem aplikasi penggajian. Atas dasar permasalahan tersebut penulis bertujuan untuk merancang aplikasi penggajian di Bebegrow Montessori Karawang dengan menggunakan visual basic 6.0. hasil penelitian di Bebegrow Montessori Karawang dapat membantu pengelolaan penggajian karyawan menjadi lebih sistematis.
PERANCANGAN SISTEM INFORMASI PETTY CASH TERINTEGRASI BERBASIS VB.NET DAN MICROSOFT ACCESS Ernawati; Haris Abu Bakar Sidik
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.481

Abstract

In the early stages of operations, the Aprilia Cellular Counter did not have a structured petty cash management system, so transaction recording was still done manually without a clear recapitulation. This condition caused difficulties in monitoring cash flow, calculating balances, and preparing financial reports accurately and timely. This study aims to design and build a petty cash information system that is able to support the recording of petty cash transactions, balance management, and presentation of financial reports in a computerized manner. Data collection was carried out through observation, interviews, and literature studies. The system development used the Waterfall method which includes the stages of needs analysis, design, implementation, testing, and maintenance. The system was built with the VB.NET programming language, Microsoft Access as a database, and Crystal Report as a reporting medium. The results of the study indicate that the developed system can simplify the process of inputting cash inflows and outflows, accelerate the preparation of periodic reports, and present petty cash balance information in real time. Thus, this system is able to improve the orderliness of petty cash management and support more effective operational decision-making
PENGEMBANGAN SISTEM PENILAIAN KINERJA BERBASIS KECERDASAN BUATAN Sopardo Marbun; Haris Abu Bakar Sidik; Wawan Oktriawan; Okto Kurnia
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.488

Abstract

These days, the creation of AI-Based Performance Appraisal Systems combines the use of more sophisticated data science with best practices in performance management.  This method is therefore broken down into a number of important approaches. In general, the approach entails creating a hybrid system that prioritizes human oversight and prudent managerial decision-making while automating data collection and improving the objectivity of AI-assisted analysis. In order to move away from discrete and subjective evaluation techniques and toward a more effective, flexible, and data-driven performance management system—where each choice is supported by extensive supporting data—AI-based performance appraisal systems are being developed.
Co-Authors Ernawati Jessica Meilaneva Okto Kurnia Okto Kurnia Sopardo Marbun Wawan Oktriawan