Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak
Sukisno Sukisno
Universitas Islam Syekh-Yusuf
Computer Science & IT Engineering Mathematics

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

Found 2 Documents
Search

 1 
Prediksi Kelulusan : Pendekatan Machine Learning Menggunakan Metode SMOTE Mohammad Ridwan; Sukisno Sukisno; Asep Hardiyanto Nugroho; Taufik Hidayat
Jurnal Sains dan Informatika Vol. 12 No. 1 (2026): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v12i1.1661

Abstract

In the realm of education, timely graduation stands as a pivotal indicator in evaluating the effectiveness of the education system. However, predicting timely graduation remains a challenge due to numerous influencing and interacting factors. In this study, researchers utilized machine learning methods to construct a predictive model capable of identifying students at high risk of not graduating on time based on their academic performance data. The dataset utilized encompassed information such as subject grades and the Grade Point Average from their previous academic records. The researchers proposed employing classification methods in the dataset prediction process, including Decision Tree (Tree), Random Forest (RF), Naive Bayes (NB), and Artificial Neural Network (ANN). To optimize dataset processing, they employed the Synthetic Minority Oversampling Technique (SMOTE) to handle imbalanced datasets. This approach yielded the best results when the original imbalanced dataset was transformed using the SMOTE technique. It was found that the RF method exhibited a dominant advantage over other methods, delivering the highest accuracy score of 99.3%, surpassing the Tree method by 0.2%. In conclusion, it can be inferred that the RF classification model, coupled with the SMOTE technique, can be optimally applied in predicting timely graduation.
Metode System Development Life Cycle dalam Perancangan Sistem Informasi Kuliah Kerja Kemasyarakatan Taufik Hidayat; Abi Mobarrok; Sukisno Sukisno; Asep Hardiyanto Nugroho
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Our annual activity, Community Service Internship, will be conducted this semester. Previously, this reporting activity was carried out by sending pictures via WhatsApp. So, we created a reporting system to make it more efficient. Now, the reporting process will be handled through a website and monitoring will also be done through the website. This will make it easier for both participants and mentors to carry out the activity," he said. The methodologies used are SDLC (System Development Life Cycle) for documentation and Prototype methodology for system design. ISO 9126 has been used for system testing with a functionality score of 84% and a usability score of 89.45%. So, from testing to system design to documentation, everything was done as per the requirements.
Co-Authors Abi Mobarrok Asep Hardiyanto Nugroho Mohammad Ridwan Taufik Hidayat