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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Computing and Informatics Research
Muhammad Ridwan Lubis
STIKOM Tunas Bangsa, Pematang Siantar
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Analisis Pola Minat Siswa Lulusan SMU/SMK Untuk Melanjutkan Kuliah dengan Menggunakan Algoritma C4.5 Yuli Septya Ayunda; Dedy Hartama; Muhammad Ridwan Lubis; Indra Gunawan; Muhammad Rafai
TIN: Terapan Informatika Nusantara Vol 4 No 9 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i9.4880

Abstract

STIKOM Tunas Bangsa is one of the best private universities in the city of Pematangsiantar. With so many universities in the city of Pematangsiantar, it certainly creates competition in attracting prospective new students. In order to maintain the number of students each year, universities must know what factors are the main drivers for prospective students to continue their studies at STIKOM Tunas Bangsa. The aim of this research is to determine the main factors for high school/vocational school graduate students in continuing their studies at STIKOM Tunas Bangsa. Data was obtained from questionnaires which were then processed using data mining with the C4.5 algorithm and tested with Rapid Miner software. Based on the research results, it can be concluded that there are six (6) patterns produced in cases of interest in prospective students who will study at STIKOM Tunas Bangsa, where three (3) of these rules result in interest decisions and three (3) rules result in no interest decisions. One of the resulting rules is if Recommendation = Never, and Suitability of Department = Appropriate, then the result is Interest. Recommendations from local people are the main supporting factor for high school/vocational school graduate students to continue studying at STIKOM Tunas Bangsa Pematangsiantar.
Implementasi Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa yang Berlangganan Wifi Indihome Qodrat Kiswara; M. Safii; Sundari Retno Andani; Muhammad Ridwan Lubis; Renaldi Renaldi
TIN: Terapan Informatika Nusantara Vol 4 No 9 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i9.4918

Abstract

The urgency of research on satisfaction levels is closely related to the success and desires of a business or organization. Without a good understanding of customer satisfaction, a company or organization may lose market share, face declining sales, or even face failure. Therefore, this research must be carried out regularly and continuously. The purpose of this research is to determine the level of customer satisfaction and to determine the dominant service quality that influences the quality of service provided by PT Telkom Indihome to customers. In this research, researchers used the C4.5 Algorithm data mining technique. The research data source used was by making observations and distributing questionnaires to customers of PT Telkom Pematangsiantar City. In this case, researchers used assessment attributes, namely service quality, accessibility and product quality. This research is expected to provide information and input to PT Telkom Indihome in the form of evaluations in improving network quality. The results of the research conducted by the author obtained the following conclusion, namely that Data Mining with the C4.5 Algorithm can classify the measurement of satisfaction levels of STIKOM Tunas Bangsa students who subscribe to Indihome WiFi. The accuracy results obtained by this research were 75.00% with the average student who subscribed to Indihome WiFi stating that they were satisfied.
Klasifikasi Peminatan Topik Keilmuan Dalam Penyelesaian Studi Menggunakan Algoritma Naive Bayes Waldi Setiawan; Dedy Hartama; Muhammad Ridwan Lubis; Ihsan Syajidan; Agus Perdana Windarto
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1200

Abstract

Academic expertise is a subject of study taught at the university level to assist students in completing their thesis writing, thereby enabling them to successfully complete their graduate studies. The chosen academic specialization aligns with the vision and mission of each program and can have a positive impact on the university. Students' chosen fields of expertise in completing their studies may either align or not align with the program's vision and mission. The variables used in this research are GPA, MKRV1, MKRV2, and Academic Expertise. The aim of this research is to determine how many students select an academic topic that aligns with the program's vision and mission, particularly in this case, the Computer Science program, as they complete their studies. The Naïve Bayes algorithm is employed in this research, yielding an accuracy rate of 98.11%. This research can provide valuable insights for STIKOM Tunas Bangsa Pematang Siantar to understand the extent to which students from other programs choose academic expertise that aligns with the vision and mission of each program.
Co-Authors Agus Perdana Windarto Dedy Hartama Ihsan Syajidan Indra Gunawan M. Safii Muhammad Rafai Qodrat Kiswara Renaldi Renaldi Sundari Retno Andani Waldi Setiawan Yuli Septya Ayunda