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All Journal Jurnal Informatika Journal Of Software Engineering And Communication
Farid, F.
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Computer Science & IT Engineering

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SISTEM INFORMASI TAMBAHAN PENGHASILAN PEGAWAI PADA RUMAH SAKIT UMUM MOKOYURLI KABUPATEN BUOL Idris, Nur Oktavin; Farid, F.; Gafur, Abdul
Journal Of Software Engineering And Communication Vol. 1 No. 1 (2023): JOURNAL OF SOFTWARE ENGINEERING AND COMMUNICATION (APRIL)
Publisher : Program Vokasi Universitas Negeri Gorontalo

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Abstract

The Additional Employee Income (TPP) allowance is given by the government to Civil Servants (PNS) who work at government institutions and are eligible during the assessment period. The giving aims to enhance performance, improve discipline, and increase public and apparatus performance. TPP processing calls for accurate reporting and calculation concerning TPP recipients, especially from RSUD Mokoyurli Buol. And yet, the processing still leverages Microsoft Excel, hampering easy data inputting on work discipline. In addition, manual reporting causes those concerned to find the entailed information longer. These issues breed ineffective and inefficient data processing. Accordingly, this research focuses on designing an information system which allows efficient TPP processing, performance productivity reporting, and TPP recapitulation on a monthly basis. The Android-based system enables civil servants to self-report their attendance using smartphones. The method used is Research and Development (R&D). Results are expected to help input data on TPP, report attendance, prevent piling up reporting, and bring about easier access to information
MOBILE APLIKASI BERBASIS ANDROID UNTUK SISTEM INFORMASI MONITORING PELANGGARAN SISWA PADA SMA NEGERI 1 GORONTALO Idris, Nur Oktavin; Farid, F.; Aer, Rahmawaty Anestasya
Journal Of Software Engineering And Communication Vol. 1 No. 2 (2023): JOURNAL OF SOFTWARE ENGINEERING AND COMMUNICATION (OKTOBER)
Publisher : Program Vokasi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jsec.v1i2.18

Abstract

The problem in the process of monitoring student violations at SMA Negeri 1 Gorontalo is accumulating violation points for each student because they have to look for data one by one in the archives cupboard so that monitoring violations and presenting information on student violations to parents of students is not optimal because student violation points can only be conveyed periodically in semesters to students and parents of students, as a result, parents find it difficult to get information on the progress of their children quickly. This study aims to design an Android-based Student Violation Monitoring Information System at SMA Negeri 1 Gorontalo which can facilitate counseling teachers in managing student violation points data and make it easier for parents to obtain information on student points and violations via smartphone. The system analysis method used is the Research and Development method. The application is built with Java and PHP programming languages and MySQL database as data storage. The system uses web service techniques to retrieve data from the server. The results of this study obtained the final result in the form of an Android-based information system at SMA Negeri 1 Gorontalo which can help as a medium for conveying information on student violations along with the points obtained, equipped with a notification feature and also output a warning letter in pdf format. The tests were carried out using a black box which resulted in the suitability of the functions of the events in the application as well as. The system implementation is applied to Android version 11.0, version 10.0 (Q), and Version 9.0 (Pie). The minimum system limitation on the Android application is Android version 8.0 (Oreo).
Perbandingan K-Means dan GMM Untuk Analisis Popularitas Lagu Spotify Indonesia Vanefi, K. Z. A.; Afifah, N. N.; Bella, C. Bella; Wisnubroto, M. S.; Farid, F.
Jurnal Informatika Vol 25 No 2 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i113

Abstract

The development of the music industry in Indonesia, especially through streaming platforms such as Spotify, creates challenges for record labels and musicians in making decisions regarding release timing and song promotion strategies. This study aims to compare two clustering algorithms, namely K-Means and Gaussian Mixture Model (GMM), in analyzing song popularity on Spotify Indonesia based on data such as total streams, peak streams, number of daily charts, and number of daily Top 10s. The results show that K-Means produces more accurate and easily interpretable clusters with a Silhouette Score of 0.731, while GMM has a Silhouette Score of 0.256, indicating less than optimal cluster separation. These findings indicate that K-Means is more suitable for data-driven decision making in the music industry, particularly for determining song release timing and promotional strategies. This research is useful for record labels, artist managers, and streaming platforms in designing more accurate and data-driven decisions.
Co-Authors Aer, Rahmawaty Anestasya Afifah, N. N. Bella, C. Bella Nur Oktavin Idris Vanefi, K. Z. A. Wisnubroto, M. S. Wiwik Handayani