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All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Sains Teknologi dan Sistem Informasi
Monica Cinthya
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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SISTEM INFORMASI PENERIMAAN PEGAWAI BARU BERBASIS WEBSITE PADA PT. JAMKRIDA KALIMANTAN TENGAH Monica Cinthya; Licantik Licantik; Ariesta Lestari
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 14 No. 1 (2020): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informat
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v14i1.629

Abstract

The process of employee’s recruitment at PT. Jamkrida still uses the manual methods in terms of registration, selection and announcement the result. These process is tme consuming and could be very expensive. Therefore a new system is needed to manage the recruitment process of new employees at PT. Jamkrida Kalimantan Tengah. Through this system the registration and selection process can be done well, precisely and quickly. Employee Recruitment System of PT. Jamkrida Kalimantan Tengah can be used as a solution in handling the process of hiring new employees in a company. The testing method performed on this website is a blackbox. From the tests conducted it can be concluded that the existence of a new web-based employee recruitment information system or e-recruitment company, is very helpful in the process of recruiting applicants, such as the committee can process applicant data quickly because applicant data will be accommodated in a database so that applicant data does not accumulate in file storage cabinets, as well as to process and search applicants' data can be done easily, with the online test system it can be easily and quickly to make corrections to answers because it is done by the system.
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.
Co-Authors Ariesta Lestari Ersha Aisyah Elfaiz licantik licantik Muhammad Sonhaji Akbar Riza Akhsani Setyo Prayoga Rizky Basatha