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All Journal Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan Jurnal INSYPRO (Information System and Processing) Educandum Jurnal Ilmiah Pendidikan Journal Software, Hardware and Information Technology System Information and Computer Technology (SYNCTECH)
Hastuti Baharuddin, Hastuti
Pascasarjana UIN Alauddin Makassar
Religion Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences

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Journal : jurnal insypro information system and processing

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Aplikasi Mobile Forecasting Prestasi Rendah Mahasiswa dengan Algoritma Support Vector Machine (SVM) pada Fakultas Sains dan Teknologi UIN Alauddin Makassar Wahyuni, Sri; Baharuddin, Hastuti; Abdullah, Patmayanti Kartini
Jurnal INSYPRO (Information System and Processing) Vol 8 No 2 (2023)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v8i2.43479

Abstract

Achievement is the value of students' learning activity achievements given by the lecturer in the relevant course based on previously determined assessment criteria. This research aims to develop a forecasting information system for low achieving students which can help identify which students have low achievement. The algorithm used is Support Vector Machine (SVM) to model the relationship between variables related to low student achievement. The dataset used comes from alumni from the 2015-2017 class, while the sample for forecasting student achievement uses the 2020 and 2021 classes. The research results show that in creating a forecasting information system for low achieving students, factors such as 1st semester GPA, 2nd semester GPA, 2nd semester GPA 3, 2nd semester credits, 3rd semester credits, semester 1-3 absences, as well as student participation in competitions and organizations have a significant influence on low student achievement. Accuracy shows that the Keras library has an average accuracy of around 83%, while scikit-learn has an average accuracy of around 82%. With these accuracy values, it can be concluded that this system has good performance in predicting low achieving students.
Pengembangan Aplikasi Pencarian Ayat Terintegrasi dalam Kajian Sains dan Teknologi Hartono, Nahrun; Baharuddin, Hastuti
Jurnal INSYPRO (Information System and Processing) Vol 9 No 2 (2024)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v9i2.52937

Abstract

This study explores the key issue of ineffective integration between science and technology studies and religious values at Universitas Islam Negeri (UIN) Alauddin Makassar, with a focus on the Faculty of Science and Technology (FST). Although there have been efforts to integrate these fields, inconsistencies and variations persist, particularly in how Qur'anic verses are used in scientific research. Often, these verses are added superficially without thorough analysis, compounded by students' challenges in manually finding relevant verses. To address this challenge, the study developed a digital platform aimed at easing the search and integration of religious verses within scientific and technological research. The approach included analyzing user needs, gathering relevant verse data, and testing the platform's effectiveness and user-friendliness. The findings indicate that the new platform significantly improves the integration of science and technology studies with religious values. Users, including students and researchers, found the platform to be an effective tool for accessing and incorporating Qur'anic verses into their research. As a result, this platform shows promise as a widely adoptable model for fostering a more robust and enduring integration in higher education across Indonesia.
Co-Authors Abdullah, Patmayanti Kartini Ayni, Nurul Faisal Faisal Kaharuddin Nahrun Hartono, Nahrun Sapriadi, Sapriadi Sri Wahyuni Usman Usman Wiwisnawati, Wiwisnawati