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All Journal Jurnal Pilar Nusa Mandiri Journal of Computer System and Informatics (JoSYC) International Journal of Computer and Information System (IJCIS) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia
Ngaeni, Nurus Sarifatul
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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COMPARATIVE ANALYSIS OF RANDOM FOREST AND SUPPORT VECTOR CLASSIFIER FOR PREDICTING STUDENTS’ ON-TIME GRADUATION Ngaeni, Nurus Sarifatul
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.7048

Abstract

On-time graduation is one of the key indicators of educational quality in higher education. The influencing factors range from students’ internal issues and academic abilities to institutional policies. However, academic management has not yet been able to classify the data and analyze the underlying factors contributing to delayed graduation. By identifying these factors, management can formulate appropriate academic solutions or policies. The purpose of this study is to build a prediction model for on-time graduation using machine learning algorithms. This study compares the classification performance of the Random Forest algorithm and the Support Vector Classifier (SVC). The dataset, consisting of 1,298 student records, includes academic data such as study program, GPA, TOEFL score, cohort year, and study duration. Model performance was evaluated using accuracy, F1 score, and ROC-AUC metrics, followed by a confusion matrix analysis. The final evaluation revealed that the Random Forest algorithm achieved the best performance, with an accuracy of 91.86%, an F1 score of 91.86%, and a ROC-AUC of 97.39%. Meanwhile, the SVC model obtained an accuracy of 81.12% and an F1 score of 81.09%. Based on these results, it can be concluded that the Random Forest algorithm is more reliable as a prediction model in the academic domain. The main contribution of this study is the development of an early detection system for students at risk of delayed graduation. Furthermore, the findings can serve as a basis for designing more solution-oriented academic policies in accordance with the conditions at STIMIK Tunas Bangsa Banjarnegara.
PELATIHAN SERVIS RINGAN LAPTOP DAN KOMPUTER UNTUK MENINGKATKAN KETERAMPILAN TEKNOLOGI REMAJA DESA SEMARANG KIDUL, BANJARNEGARA Ahaduz Zen, Muhammad; Ngaeni, Nurus Sarifatul
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 4, No 2 (2025): Oktober 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v4i2.2080

Abstract

Kemajuan teknologi yang begitu cepat menuntut generasi muda, termasuk yang tinggal di desa, untuk menguasai keterampilan dasar di bidang teknologi informasi. Namun, keterbatasan akses terhadap pelatihan sering menjadi hambatan utama, seperti yang dialami di Desa Semarang Kidul, Kecamatan Banjarnegara, Kabupaten Banjarnegara. Untuk menjawab tantangan tersebut, dilakukan kegiatan pengabdian masyarakat berupa pelatihan servis ringan laptop dan komputer bagi para remaja di desa tersebut. Pelatihan ini menerapkan metode gabungan antara pemaparan teori dan praktik langsung, yang mencakup pengenalan hardware, proses bongkar pasang, perawatan perangkat, hingga dasar-dasar instalasi software. Sebanyak tujuh anggota Karang Taruna Dusun Pungangan mengikuti pelatihan yang berlangsung di gedung TPQ setempat. Dari hasil evaluasi, terlihat adanya lonjakan kemampuan peserta, terbukti dari nilai rata-rata pre-test yang awalnya 16,4 menjadi 77,4 pada post-test. Kegiatan ini tidak hanya meningkatkan keterampilan teknis, tetapi juga membangun kemandirian serta membuka peluang bisnis di bidang jasa servis komputer. Pelatihan ini diharapkan dapat menjadi pijakan awal dalam menumbuhkan budaya literasi teknologi di desa.KeywordsPelatihan, Servis Ringan, Literasi Teknologi, Remaja Desa
Analisis Kombinasi Algoritma K-Means Clustering dan TOPSIS Untuk Menentukan Pendekatan Strategi Marketing Berdasarkan Background Target Audiens Ngaeni, Nurus Sarifatul; Kusrini, Kusrini; Kusnawi, Kusnawi
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4948

Abstract

The promotion is an annual agenda for STIMIK Tunas Bangsa Banjarnegara. The aim of this promotional activity is to attract more new students every year. On the other hand, campus promotion encounters obstacles in mapping applicant data from previous years so that considerations for new promotion policies are based on data from the school of origin of alumni or students. By using the K-Means Clustering algorithm, applicant data can be grouped according to the background represented through the school origin attribute. , parents' occupation and place of origin. Then the data is processed using DSS with the TOPSIS method to obtain priority references for marketing types for each cluster. The results of calculating the silhouette coefficient value for the five clusters obtained a score of 0.426. Meanwhile, in the ranking process using the TOPSIS method, the first rank was found in cluster 0 with a score of 0.994110. Further stages use the Decision Tree method to obtain output in the form of recommendations for promotion types for each cluster. For example, cluster 0 is recommended to use promotion types with codes P1, P2, P3, P8 and P9.
Systematic Literature Review of the Development of Financial Information Systems in Churches Wicaksono, Sherif Aji; Wijaksana, Candra Putra; Ngaeni, Nurus Sarifatul; Utami, Ema
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.143

Abstract

This study was conducted to investigate the factors that influence the development of financial information systems in churches. The study used a systematic literature review with 10 studies that met the inclusion criteria. The findings of this study suggest that user involvement, technology selection, and change management are all important factors that influence the successful development of financial information systems in churches. Churches that are considering developing a financial information system should pay attention to these factors to increase their chances of success.Keywords : Financial information systems.
Co-Authors Ahaduz Zen, Muhammad Ema Utami Kusnawi Kusnawi Kusrini, Kusrini Wicaksono, Sherif Aji Wijaksana, Candra Putra