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All Journal JURSIMA Jurnal Sistem Informasi dan Manajemen Jurnal Riset Multidisiplin Edukasi
Monsya Juansen
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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PENENTUAN JURUSAN SISWA SMK DENGAN MENERAPKAN METODE SIMPLE ADDITIVE WEIGHTING Monsya Juansen
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 9 No 1 (2021): Jursima Vol. 9 No. 1, April Tahun 2021
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v9i1.244

Abstract

The suitability of the major chosen by a student is one of the factors supporting the successful achievement of vocational school graduates, so that in order to realize the accuracy of this major, the researcher built a decision support system for determining the major. In this study, the data that was managed was data from class 1 students in the field of Computer Engineering and Information Technology who would go up to grade 2, because majors were carried out when students went up to grade 2, which would later be divided into 3 majors, these majors were Computer Engineering, and Networking, Multimedia, and Software Engineering. This study applies a decision support system with the Additive Weighting Method (SAW) algorithm. This research is very helpful for the school in providing majort recommendations to students so that students are in the right major according to the talents that exist in students.
PENENTUAN JURUSAN SISWA SMK DENGAN MENERAPKAN METODE SIMPLE ADDITIVE WEIGHTING Monsya Juansen
JURSIMA Vol 9 No 1 (2021): Jursima Vol. 9 No. 1, April Tahun 2021
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v9i1.244

Abstract

The suitability of the major chosen by a student is one of the factors supporting the successful achievement of vocational school graduates, so that in order to realize the accuracy of this major, the researcher built a decision support system for determining the major. In this study, the data that was managed was data from class 1 students in the field of Computer Engineering and Information Technology who would go up to grade 2, because majors were carried out when students went up to grade 2, which would later be divided into 3 majors, these majors were Computer Engineering, and Networking, Multimedia, and Software Engineering. This study applies a decision support system with the Additive Weighting Method (SAW) algorithm. This research is very helpful for the school in providing majort recommendations to students so that students are in the right major according to the talents that exist in students.
ANALISIS KEPUASAN MAHASISWA TERHADAP LAYANAN APLIKASI SIKAMU MENGGUNAKAN MOBILE SERVICE QUALITY Lety Lestari; RG Guntur Alam; Monsya Juansen; Sri Handayani
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 7 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Juli 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i7.778

Abstract

The Advancement of digital technology  has encouraged higher education institutions to provide mobile-based academic services to enhance efficiency and convenience of students. Universitas Muhammadiyah Bengkulu developed the SIKAMU application as a platform to access academic information online. This study aims to analyze student satisfaction with the SIKAMU application using the mobile service quality (M-SERVQUAL) approach, which includes five dimensions: Efiiciency, reliability, security, interface design, and feature conformity. The research method used is descriptive quantitative, with data collected through questionnaires distributed to 129 active student from the faculty of engineering. The analysis result show that students are generally very satisfied with the SIKAMU services, with an average Customer Satisfaction Index (CSI) of 97% the feature conformity dimension received the highest satisfaction score (100%), while efficiency received the lowest (94%), though still with in the “very satisfied” category. The gap analysis between expectations, expectations, except for efficiency, which still requires improvement. This study concludes that the SIKAMU application has successfully met students academic service needs digitally; however, improvements in efficiency and security are recommended to maintain and enhance service quality.
Co-Authors Guntur Alam Lety Lestari Sri Handayani