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PREDICTION OF DIPLOMA LEGALIZATION STATUS USING DECISION TREE ON DATA FROM THE PAPUA PROVINCIAL EDUCATION OFFICE Mona Angelika Ngaderman; Gladis Dominika Ngaderman; Marcella Putri Pentury; Tirza Meira Pontoh; Heru Sutejo
ADMIN: Jurnal Administrasi Negara Vol. 3 No. 6 (2026): Jurnal Administrasi Negara
Publisher : CV. Adiba Aisha Amira

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Abstract

The diploma legalization service of the Papua Provincial Education Office serves over 5,000 applicants per year, with 65% coming from outside Jayapura for purposes such as civil servant (CPNS), police (Polri), and military (TNI) applications, which require the original diploma. This study develops a C4.5 Decision Tree model to predict the status of 'Completed'/'Not Completed' using a dataset of 50 legalization entries from January to May 2025. Predictor variables include Year of Graduation, School Type, Document Status, and Number of Documents, with the target being Process Category. The model achieved an accuracy of 86.67%, class precision of 85.71% for Completed and 100% for Not Completed, recall of 100% for Completed and 33.33% for Not Completed. Key decision rule: diploma >15 years AND private school → Not Completed (risk 82%). Implementing the model has the potential to save 45% verification time through automatic pre-screening for out-of-town applicants.
Penerapan UML Sistem Informasi Penerimaan Mahasiswa Baru Pada Universitas Sepuluh Nopember Papua Estevina Carolina Bagre; Putra Immanuel Pali; Melki Sendoni Wondiwoi; Nur Atya; Jered Imanuel Wanda; Tirsa Meira Pontoh; Marcella Putri Pentury; Herlina Lenora Yowei; Elia Mando Wanggai; Gladis Dominica Ngaderman; Helson Matuan; Sandra Keke Waromi; Imelda Numberi; Patmawati Hasan
Tamilis Synex: Multidimensional Collaboration SPECIAL ISSUE Tamilis Synex: Multidimensional Collaboration 2025
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.vi.875

Abstract

In the digital era, the use of information technology is the main need to improve administrative efficiency in various sectors, including higher education. Universitas Sepuluh Nopember (USN) Papua faces obstacles in the process of admitting new students which are still carried out manually, causing various problems such as inefficiency, risk of data errors, and limited information. To overcome this, this study aims to design a new student admission information system using the Unified Modeling Language (UML) approach that is able to describe the system visually, structured, and easy to understand. The research method used is software engineering with data collection techniques through observation and interviews. The results of the system design are visualized through use case diagrams, activity diagrams, sequence diagrams, and class diagrams to model the process and structure of the system as a whole. It is hoped that the results of this research can provide information system solutions that are more effective, efficient, and support transparency and accountability in the process of accepting new students in the university environment.