M. Budi Hartanto, M. Budi
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Implementation of Data Mining for Classifying Student Graduation Levels Using Naive Bayes, Decision Tree, Random Forest, Support Vector Machines and Neural Networks Methods (Case Study of The Undergraduate Program at Mitra Indonesia University) Hartanto, M. Budi; Destanto, Tri; Yuniarthe, Yodhi; Winarko, Triyugo
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3441

Abstract

This study aims to classify student graduation levels using five data mining methods: Naive Bayes, Decision Tree, Random Forest, Support Vector Machines, and Neural Networks. Conducted as a case study at Mitra Indonesia University, the research utilizes academic data, including GPA, course completion rates, and attendance records, to predict graduation success. The results reveal that Random Forest and Neural Networks exhibit the highest accuracy, making them the most suitable methods for predicting student outcomes. These findings contribute to the development of early intervention programs for students at risk of delayed graduation, providing valuable insights for higher education institutions.
Optimization of Student Grade Data Management Using RESTful API and Microservices Architecture : Case Study at Universitas Mitra Indonesia hartanto, M. Budi; Fawaati, Teuku Muhammad; Fahurian, Fatimah; Yunita, Hilda Dwi; Zuhri, Khozainuz
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3603

Abstract

The management of student grade data is a critical component of academic information systems that require high efficiency and reliability. At Universitas Mitra Indonesia, the old monolithic system faced challenges in scalability, security, and accessibility. This study proposes the implementation of RESTful API and microservices architecture to optimize the management of student grade data. RESTful API serves as the primary interface for inter-service communication, while microservices allow for independent management of modules such as user authentication, grade data processing, and academic service provision. Implementation results demonstrate a 35% increase in data access speed, a 25% reduction in server load, and enhanced security through token-based authentication. This study significantly contributes to modernizing academic information systems, especially in improving the performance and scalability of digital academic services.
Pemberdayaan Masyarakat Desa Lampung Selatan Melalui Transfer Teknologi Python untuk Ekonomi Kreatif Hartanto, M. Budi; Yunita, Hilda Dwi; Fahurian, Fatimah; Winarko, Triyugo
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18412

Abstract

Pendahuluan: Pemberdayaan masyarakat desa merupakan komponen penting dalam meningkatkan kesejahteraan sosial dan ekonomi, khususnya di wilayah Lampung Selatan. Namun, keterbatasan akses terhadap teknologi dan pengetahuan menjadi hambatan utama dalam pengembangan ekonomi kreatif yang berbasis digital. Studi ini bertujuan untuk mentransfer teknologi berbasis Python guna meningkatkan kompetensi pelaku usaha kecil dan menengah (UKM) di Kecamatan Kalianda, Kabupaten Lampung Selatan. Metode: Pelatihan berbasis praktik, lokakarya interaktif, pendampingan teknis, serta konsultasi intensif. Hasil: Adanya peningkatan dalam pemahaman dan penerapan teknologi digital, khususnya dalam manajemen usaha, analisis pasar, dan optimasi produksi. Sebanyak 65% peserta berhasil mengadopsi teknologi Python secara mandiri dalam usahanya, dengan peningkatan efisiensi operasional dan kesiapan digital. Kesimpulan: Transfer pengetahuan dan teknologi Python terbukti efektif dalam mendukung pengembangan ekonomi kreatif berbasis digital di desa, selama diiringi strategi pembelajaran yang tepat dan berkelanjutan.