Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Information Technology Ampera Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI)
Faqih Abdul Haris
Universitas Bina Darma
Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Sistem Monitoring Inventaris Barang Dinas Kebudayaan dan Pariwisata Provinsi Sumatera Selatan Kurniati Kurniati; Faqih Abdul Haris
Journal of Information Technology Ampera Vol. 2 No. 2 (2021): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume2.isssue2.year2021.page105-116

Abstract

Monitoring inventaris barang di lingkungan Dinas Kebudayaan dan Pariwisata Provinsi Sumatera Selatan merupakan suatu kegiatan yang rutin setiap bulan dilakukan oleh petugas monitoring inventaris barang. Hal ini dilakukan guna memberi laporan rutin  kepada pihak pusat terhadap kondisi barang yang ada.  Namun, proses yang dilakukan masih bersifat manual. Sehingga, perlu adanya sebuah sistem monitoring inventaris barang untuk mempermudah petugas dalam melakukan monitoring agar proses jauh lebih efektif dan efisien terutama dari sisi waktu. Dalam membangun sistem tersebut menggunkan medode waterfall. Model waterfall merupakan salah satu model pengembangan perangkat lunak yang ada di dalam model SDLC (Sequencial Development Life Cycle) yang memiliki 4 tahapan yaitu analisis, desain, pengodean, pengujian, dan pemeliharaan. Sehingga, dengan adanya sistem ini sangat membantu pekerjaan petugas monitoring inventaris barang dari siis waktu dan kevalidan  data yang di peroleh dalam melakukan proses monitoring dibandingkan secara manual.
Application of the Classification and Regression Tree (CART) Algorithm for Classifying Student Majors at MAN 1 OKU Timur Faqih Abdul Haris
Jurnal Ilmu Komputer dan Sistem Informasi |JIKSI| Vol. 6 No. 2 (2025): Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI)
Publisher : Institute of Information Technology and Social Science (IITSS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61346/jiksi.v6i2.197

Abstract

The classification of new student majors represents a vital process to align students’ educational trajectories with their aptitudes and interests. MAN 1 OKU Timur, an Islamic senior high school under the Ministry of Religious Affairs (Kementerian Agama), categorizes students into three primary academic tracks: Natural Sciences, Social Sciences, and Religion. Traditionally, the classification process relied on a simple summation and ranking of academic scores, a method prone to subjective bias and misclassification. This study implements a data mining approach utilizing the Classification and Regression Tree (CART) algorithm to enhance the objectivity and precision of the major selection process. Using data from 379 students of the 2020/2021 academic year, the CART model achieved an accuracy rate of 88.65%, demonstrating high reliability in predicting appropriate majors based on students’ academic performance and stated preferences. The results indicate that the CART algorithm can serve as an effective decision-support tool for the classification of new students at MAN 1 OKU Timur.
Co-Authors Kurniati Kurniati