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All Journal Jurnal Sains Teknologi dan Sistem Informasi LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains Kohesi: Jurnal Sains dan Teknologi Jurnal Penelitian Teknologi Informasi dan Sains Jurnal Media Akademik (JMA) Switch: Jurnal Sains dan Teknologi Informasi
Rizky Basatha
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Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analisis Sentimen Performansi Operator Telekomunikasi di Indonesia Menggunakan Metode Text Mining Ersha Aisyah Elfaiz; Prayoga, Riza Akhsani Setyo; Monica Cinthya; Muhammad Sonhaji Akbar; Rizky Basatha
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4024

Abstract

The telecommunications sector in Indonesia has experienced rapid development in recent years, characterized by the increasing number of telecommunications operators offering various services and products. Therefore, there is competitive rivalry among operators. The right strategy is needed to survive and compete effectively. One of the efforts that can be made by telecommunication companies is to evaluate operational performance. This research aims to analyze the sentiment of X users towards telecommunication operational performance, at Telkomsel and Tri operators using text mining methods, namely Naïve Bayes, Support Vector Machine (SVM) and Decision Tree Learning (DTL). The research data is obtained by crawling from the X application, then the data is processed to remove unnecessary words or affixes. Then data modeling and validation is carried out using split validation and cross validation techniques. In the split validation technique, the data is divided into 70% training data and 30% testing data, while in the cross-validation technique the fold parameter is set to determine which fold has the highest accuracy. The results of the study show that the SVM method has the highest accuracy, where in split validation the accuracy is 84.29% for Telkomsel data and 75.70% for Tri data. Similarly, in cross validation, the accuracy is 82.15% on fold 4, 7 for Telkomsel data and 61.41% on fold 9 for Tri data. In addition, it is known that Telkomsel data has 18.64% positive sentiment and 81.36% negative sentiment. While Tri data has 61.11% positive sentiment and 38.89% negative sentiment.
Perancangan Aplikasi Sistem Informasi Pendaftaran Siswa dengan Fitur Pemeriksaan Kelulusan dan Pengelolaan Kuota Berbasis Desktop Fatimatus Zuhro; Dannisa Zahroh Amalia; Raka Izza Sabilillah; Muhammad Rizky Maulana; Nisa Dwi Septiyanti; Rizky Basatha
Switch : Jurnal Sains dan Teknologi Informasi Vol. 3 No. 6 (2025): November: Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v3i6.698

Abstract

The student admission process in many educational institutions is still conducted manually, leading to issues such as data duplication, input errors, and delays in reporting. This study designs and implements a desktop-based student registration information system using VB.NET and MySQL, equipped with an admission-status checking feature and an automated quota-management module. The system was developed using the waterfall model, consisting of requirement analysis, system design using UML, implementation, and black-box testing. Two user roles are supported: admin and student. Admin users can manage applicant data, configure program quotas, open or close the registration period, and generate reports, while student users can create accounts, complete registration forms, and independently check their admission results. The implementation results show that all core functions operate validly based on testing involving two respondents. The quota-management feature successfully restricts the number of applicants according to predetermined capacities, and the admission-status module automatically displays pass or fail results. The system improves administrative efficiency, enhances data accuracy, and reduces reliance on manual record-keeping. Therefore, this desktop application serves as an effective solution for schools requiring a reliable and efficient admission management system without depending on stable internet connectivity.
Co-Authors Achmad Khoirun Ni’am Aljunaidi Alvin Malviano Toti Amalia Zahrah Aabidah Dannisa Zahroh Amalia Ersha Aisyah Elfaiz Evan Rasyid Nandana Iswara Fatimatus Zuhro Febriyan Firman Praditi Fithrotuz Zahro Haria Nansa Rahmadhany Intannia Setyawati Marky Cavalera Prasetya Meisya Gadis Affandi Miftakhul Maulida Moh. Fairus Heriawan Mohammad Aden Ferangga Monica Cinthya Muhammad Firman Asyari Muhammad Rizky Maulana Muhammad Sonhaji Akbar Naugis Sahmadani Nirmala Alayda Savira Nisa Dwi Septiyanti PUTRI WULANDARI Rahul Ubaidillah Raka Izza Sabilillah Riza Akhsani Setyo Prayoga Ulinnuha Purwanin Tyas