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All Journal Indo-MathEdu Intellectuals Journal Jurnal Pengabdian Inovasi Masyarakat Indonesia Jurnal Inovasi Komputer
Majalista, Riya
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Mathematics Social Sciences Other

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Journal : Indo-MathEdu Intellectuals Journal

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Pemilihan Wisudawan Terbaik Menggunakan Sistem Pendukung Keputusan dengan Metode Profile Matching Ermawati, Yuli; Zulkarnain, Zulkarnain; Majalista, Riya
Indo-MathEdu Intellectuals Journal Vol. 5 No. 6 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i6.2225

Abstract

The selection of the best graduate is an important process in the graduation ceremony to recognize students who have demonstrated outstanding academic and non-academic achievements during their studies. However, this process often faces challenges, particularly regarding the subjectivity and complexity of assessment. Therefore, a Decision Support System (DSS) is needed to assist in determining the best graduate objectively and transparently. The criteria used include academic achievements (GPA), involvement in organizational activities, non-academic achievements, attendance, and social contributions. Each criterion is weighted according to its level of importance. With the implementation of this DSS, it is hoped that the selection of the best graduate can be conducted more effectively, efficiently, and fairly. Testing results show that this system can provide accurate results that meet stakeholder expectations.
Sistem Pendukung Keputusan Pemilihan Laptop untuk Kebutuhan Kuliah Metode Simple Additive Weighting (SAW) Kurniawan, Rifqi; Majalista, Riya; Ramadhan, Agil; Mirando, Rahmad Dwiki
Indo-MathEdu Intellectuals Journal Vol. 6 No. 4 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i4.3561

Abstract

Laptops are essential devices that support various academic activities for university students, such as writing assignments, programming, graphic design, and attending online classes. However, the wide range of available laptops with varying specifications and prices often makes it difficult for students to choose one that fits their needs and budget. This study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to assist students in selecting the most suitable laptop based on several relevant criteria. This research is a quantitative descriptive study. Data was collected using questionnaires and literature studies. The test results show that the system can accurately and efficiently generate laptop recommendations that align with user preferences. The conclusion of this study indicates that the application of the SAW method in a DSS is effective in simplifying the decision-making process for selecting laptops for academic purposes.
Sistem Pendukung Keputusan untuk Penerimaan Siswa Baru di MIN 2 Oku Dengan Metode Profile Matching Husniawati, Husniawati; Majalista, Riya; Sari, Rani Puspita; Risalman, Nurmulia Risky
Indo-MathEdu Intellectuals Journal Vol. 6 No. 4 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i4.3581

Abstract

The acceptance of new students is one of the important processes in the world of education that determines the quality of students in an institution. At MIN 2 OKU, the selection process is still done manually, which risks causing subjectivity and inefficiency in decision-making. To address this issue, a Decision Support System (DSS) was developed using the Profile Matching method. The purpose of this research is to design and build a DSS based on the Profile Matching method in order to improve the accuracy and efficiency of new student selection at MIN 2 OKU. This method is used to assess the suitability between the candidate students' profiles and the predetermined criteria, such as academic scores, potential academic tests, interviews, and memorization. This system helps the school provide objective and systematic assessments. The test results show that this decision support system is able to provide student admission recommendations more accurately, fairly, and transparently compared to the manual process. Therefore, this system is expected to improve the quality of the selection process at MIN 2 OKU.
Co-Authors Abelia, Aura Putri Alfarouk, Fadhilatus Destiarini Devi, Puspita Ermawati, Yuli Husniawati, Husniawati Kurniawan, Rifqi Mirando, Rahmad Dwiki Monadiza, Anisha Ramadhan, Agil Risalman, Nurmulia Risky Sari, Rani Puspita Utami, Astrina Yuliani, Selvy Zulkarnain Zulkarnain