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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Security, Computer, Information, Embedded, Network and Intelligence System
Nurhidayatullah, Muhammad
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Computer Science & IT Engineering

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SISTEM REKOMENDASI JURUSAN KULIAH BAGI CALON MAHASISWA BARU UNIVERSITAS BSI MARGONDA FAKULTAS TEKNIK DAN INFORMATIKA MENGGUNAKAN ALGORITMA C4.5 Anugerah, Andree; Nurhidayatullah, Muhammad; Wijaya Tua Tamba, Putra; Suttan Helmy Razhevva, Muhammad; Oloan Lubis, Baginda
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12849

Abstract

Pada tingkat perguruan tinggi, individu akan belajar sesuai dengan bidang yang sesuai dengan keahliannya. Oleh karena itu, perguruan tinggi diharapkan dapat mencetak sumber daya manusia berkualitas sesuai dengan minat dan keahliannya. Kesalahan dalam memilih jurusan kuliah sering kali terjadi akibat kurangnya pemahaman terhadap pilihan jurusan yang tersedia. Oleh sebab itu, pemilihan jurusan sebaiknya dilakukan sejak dini dengan pertimbangan yang matang. Salah satu cara merekomendasikan jurusan kuliah kepada calon mahasiswa baru adalah dengan menggunakan algoritma C4.5, yang didasarkan pada data seperti nilai akademis, hasil tes, dan jurusan sekolah. Metode ini bertujuan untuk mengembangkan sistem rekomendasi jurusan kuliah bagi calon mahasiswa baru. Penelitian ini menghasilkan sistem rekomendasi yang ditujukan untuk membantu calon mahasiswa yang masih kebingungan menentukan jurusan. Berdasarkan evaluasi menggunakan confusion matrix, algoritma C4.5 menunjukkan tingkat akurasi sebesar 12%, yang mengindikasikan bahwa sistem belum mampu memberikan rekomendasi yang akurat. Hal ini disebabkan oleh kurang relevannya data dan variabel yang digunakan. Namun, jika data dan variabel yang diterapkan lebih sesuai, sistem diprediksi mampu memberikan rekomendasi yang lebih baik.
UNM MOBILE: A Campus Profile and Information Application of Universitas Negeri Makassar Nurhidayatullah, Muhammad; Nabilah, Ersya; Paradifa, Tania; Lestary, Fitriyanty Dwi
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 3, No. 2 (December 2025)
Publisher : PT. Lontara Digitech Indonesia

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Abstract

UNM Mobile is an Android-based application that provides integrated access to the official profile and information of Universitas Negeri Makassar (UNM). It was developed to simplify information access for the academic community and the public. This study aims to design the application as an effective and user-friendly campus information platform using the agile development method. Key features include the university profile, news, academic calendar, class schedules, and other digital services. Testing results show that the application meets user needs in terms of accessibility and information completeness. UNM Mobile supports the digitalization and efficiency of information dissemination within UNM.
Analysis of Campus WiFi Network Quality Based on Quality of Experience (QoE) Nurhidayatullah, Muhammad; Nabilah, Ersya
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 3, No. 2 (December 2025)
Publisher : PT. Lontara Digitech Indonesia

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Abstract

This study aims to evaluate the perceptions of students at Universitas Negeri Makassar regarding the quality of the campus WiFi network services using a Quality of Experience (QoE) approach based on the Mean Opinion Score (MOS) scale. A descriptive quantitative method was applied by distributing an online questionnaire to 100 active respondents. The results show that all indicators related to connectivity, stability and speed, as well as convenience and satisfaction in usage obtained average MOS scores above 4.50 and are categorized as very good. These findings indicate that the campus WiFi service has been able to meet students’ academic needs and provide a satisfactory user experience.
Co-Authors Anugerah, Andree Baginda Oloan Lubis Fitriyanty Dwi Lestary Nabilah, Ersya Paradifa, Tania Suttan Helmy Razhevva, Muhammad Wijaya Tua Tamba, Putra