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Jurnal Penelitian Rumpun Ilmu Teknik
Published by Politeknik Pratama Purwokerto
ISSN : 29638178     EISSN : 29637813     DOI : 10.55606
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Sistem Komputer / Teknik Komputer Sistem Informasi Teknik Perangkat Lunak Teknologi Informasi Teknik Informatika / Ilmu Komputer Bidang-bidang lainnya yang termasuk ke dalam rumpun ilmu tersebut.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 222 Documents
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sistem informasi Sistem Informasi Penilaian Kinerja Pegawai di SETDA Bagian Umum Kabupaten Situbondo Zaehol Fatah; Maharani Rahmatul Hanani
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i3.5591

Abstract

Employee performance appraisal is a crucial aspect of human resource management in government agencies. At SETDA General Affairs Section in Situbondo Regency, the manual performance appraisal system faces several challenges including time inefficiency, prone to recording errors, and lack of transparency in the assessment process. This study aims to design and develop an Employee Performance Appraisal Information System to overcome these problems and improve efficiency, accuracy, and transparency. The research methodology uses SDLC Waterfall with stages of system analysis, design, implementation, testing, and maintenance. Data collection was conducted through observation, interviews with employees and management, and literature study. The system was developed as a web-based application featuring employee data management, performance criteria input (work quality, work quantity, discipline, initiative, and teamwork), automatic calculation, and real-time reporting. Implementation results show that the system successfully simplifies the performance appraisal workflow, improves data accuracy, provides faster and more transparent reports, and supports quicker decision-making for employee development, promotions, incentives, and public service quality improvement at SETDA General Affairs Section in Situbondo Regency.
Penerapan Data Mining untuk Kelulusan Al-Barqi di Pesantren Salafiyah Syafi’iyah Menggunakan Metode Random Forest Faza Qori Aina; Zaehol Fatah
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i3.5625

Abstract

Application of data mining methods using Random Forest algorithm to predict student graduation in the Al-Barqi learning program at Pesantren Salafiyah Syafi'iyah. The background of this research is the continued use of manual evaluation systems that have the potential to create subjectivity and lack transparency. The data used comes from student evaluation results, covering aspects of fasohah, tilawah, numerical scores, and discipline. The research process was conducted through stages of data collection, preprocessing, modeling, and implementation using RapidMiner Studio software. The research results show that the Random Forest algorithm is able to provide predictions with a good level of accuracy, as well as identify the score factor as the most dominant variable in determining graduation, followed by aspects of Quranic reading and discipline. These findings confirm that the use of data mining can improve accuracy, objectivity, and transparency in student assessment systems, while supporting digital transformation in pesantren environments. Thus, this research provides data-based recommendations to improve the quality of learning and evaluation systems in pesantren.

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