Rancang Bangun Sistem Prediksi Kinerja Publikasi Dosen Menggunakan Model Time-Series Machine Learning (Studi Kasus: Prodi Teknik Informatika Universitas PGRI Madiun

Hia, Wilhelmus Fa'omasi (2026) Rancang Bangun Sistem Prediksi Kinerja Publikasi Dosen Menggunakan Model Time-Series Machine Learning (Studi Kasus: Prodi Teknik Informatika Universitas PGRI Madiun. S1 thesis, Universitas PGRI Madiun.

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Abstract

Fa’omasi Hia, Wilhelmus. 2026. Design and Development of a Lecturer Publication Performance Prediction System Using a Time-Series Machine Learning Model (Case Study: Informatics Engineering Study Program, Universitas PGRI Madiun). Undergraduate Thesis. Informatics Engineering Study Program, Faculty of Engineering, Universitas PGRI Madiun. Advisor (I) Puguh Jayadi, S.Kom., M.Kom. Advisor (II) Yessi Yunita Sari, S.Kom., M.Cs. This study aims to design and develop a web-based lecturer performance evaluation system in the Informatics Engineering Study Program at Universitas PGRI Madiun, integrated with predictive analysis using time-series machine learning to forecast scientific publication trends. The method used is a quantitative approach with Agile development, utilizing Django and MySQL, as well as prediction models such as Linear Regression and Decision Tree evaluated using RMSE, MAE, and MAPE. The results show that the system improves efficiency, objectivity, and provides predictive insights to support strategic decision-making. Keywords: lecturer performance, scientific publication, machine learning, time-series, web-based system, prediction.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	lecturer performance; scientific publication; machine learning; time-series; web-based system; prediction.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	HIA FA'OMASI WILHELMUS
Date Deposited:	23 Apr 2026 06:55
Last Modified:	23 Apr 2026 06:55
URI:	http://eprint.unipma.ac.id/id/eprint/7554

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