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All Journal Jurnal Informatika Upgris The IJICS (International Journal of Informatics and Computer Science) JSAI (Journal Scientific and Applied Informatics) KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) Jurnal Teknologi Informasi Indonesia Nomos : Jurnal Penelitian Ilmu Hukum Management of Information System Journal
Hariati Husain
Universitas Ichsan Gorontalo
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice

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Journal : Bulletin of Information Technology (BIT)

 1 
Implementasi Metode Weighted Product Dalam Pengambilan keputusan Penilaian Kinerja Karyawan Puspa, Misrawati Aprilyana; Lasena, Marlin; Husain, Hariati; Sidik, Zainudin
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.991

Abstract

Employees are people involved in the company organization to carry out their duties based on their position or position. The current employee performance appraisal process is still carried out manually so that the element of subjectivity is very high, in addition to the relatively large number of employees making the employee determination time longer and sometimes late. The purpose of this study is to design a Decision Support System for employee performance appraisal at Otanaha Hospital so that the appraisal process and the decisions obtained are appropriate. The method used is the Weighted Product Method because this method is more efficient and the time needed in calculations is shorter and easier. The system is designed with php and html programming. Database used MySql language, with modeling using Unified Modeling Language. The result of this study is that it can make it easier for Otanaha hospital to assess and view employee data information and the results of performance appraisals of honorary employees and civil servants
Analisis Komparatif Algoritma Klasifikasi untuk Prediksi Kelulusan Tepat Waktu Mahasiswa Husain, Hariati; Ahmad, sulistiawati Rahayu; Salim, Muh
Bulletin of Information Technology (BIT) Vol 7 No 1: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2619

Abstract

- Timely student graduation is an important indicator in assessing the quality of higher education management. However, not all students are able to complete their studies within the prescribed study period, making it necessary to implement data-driven predictive approaches to identify students at risk of delayed graduation. This study aims to compare the performance of the Decision Tree and Naïve Bayes algorithms in classifying timely student graduation based on academic data. The dataset consists of alumni records from the Informatics Engineering Study Program for the 2015–2016 cohorts, totaling 610 valid records after data cleaning and attribute selection. Predictor variables include gender, class type, and Semester Grade Point Index (IPS) from semester 1 to semester 5, while the target variable is graduation status. Model evaluation was conducted using an 80% training and 20% testing split, and performance was measured through a confusion matrix to obtain accuracy, precision, and recall values. The results show that the Decision Tree achieved an accuracy of 69.54%, while Naïve Bayes achieved 68.38%. The 1.16% difference indicates that the Decision Tree performs slightly better for this dataset. These findings suggest that early semester academic performance significantly contributes to predicting timely graduation and can support data-driven academic decision-making.
Co-Authors Adriani, Evie Alang, Alang Ariska Julaeha Tangkudung Citra Yustitya Gobel Dunggio, Zufriato K. Isla, Muhammad Kamase, Hamka Witri Marlin Lasena Misrawati Aprilyana Puspa Rahmawati, Rahmawati salim, Muh Santawali Santawali Sudirman S. Panna Sulistiawati Rahayu Ahmad Wahab, Rahmawalta Zainudin Sidik Zufriato K. Dunggio