Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak
Rizal Furqan Ramadhan
Universitas Islam Negeri Sayyid Ali Rahmatullah Tulunggaung
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Metode Analytical Hierarchy Process pada Penilaian Mahasiswa Berprestasi Berbasis Decision Support System Rizal Furqan Ramadhan; Kunti Eliyen
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 4, No 2 (2022): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v4i2.6692

Abstract

Perguruan Tinggi merupakan lembaga pencetak geneari penerus bangsa supaya bisa bersaing dengan negara lain dalam hal kemajuan ekonomi serta teknologi. Mahasiswa merupakan keluaran dari sebuah pendidikan tinggi sebagai generasi penerus bangsa serta sebagai agent of change untuk perubahan negara kedepan. Untuk mengukur sejauh mana kualitas akademik dan non akademik mahasiswa adalah dengan melakukan sebuah proses penilaian. Proses penilaian mahasiswa berprestasi ini akan menghasilkan mahasiswa yang memiliki nilai yang baik pada prestasi di bidang akademik dan non akademik. Komponen penilaian yang digunakan pada penelitian ini antara lain nilai IPK, nilai TOEFL, nilai TOAFL, prestasi akademik/non akademik serta keaktfian organisasi. Penilaian ini diolah menggunakan Decision Support System dengan metode Analytical Hierarchy Process. Metode Analytical Hierarchy Process menggunakan perbandingan berpasangan pada setiap kriteria yang digunakan sampai pada proses perhitungan nilai Consistency Ratio. Dari hasil penelitian didapatkan 3 mahasiswa terbaik dari total sampel 12 mahasiswa. Nilai tertinggi dari ketiga mahasiswa tersebut adalah 0,179. Dari hasil tersebut membuktikan bahwa metode Analytical Hierarcy Process sesuai untuk diimplementasikan pada Decision Support System menilai mahasiswa terbaik karena menggunakan proses matematis yang detail serta terdapat proses prioritas kriteria pada proses perhitungan paling awal.
Penerapan Metode Hybrid Multi Criteria untuk Penilaian Mahasiswa Berprestasi Rizal Furqan Ramadhan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10089

Abstract

Higher education is an educational institution that educates students as objects of education to be prepared for the world of work by being equipped with theoretical and practical skills. With increasingly tough demands and intense competition in finding work, it is necessary to assess students regarding the academic and non-academic activities they participated in and pursued while still in college. With the rapid movement of information technology, an assessment of student achievement can be implemented using an information technology system using the Decision Support System concept with multi-criteria techniques. The Decision Support System has a basic function to simplify and assist leaders or managers in making decisions. The decision in this research topic is outstanding students. The research uses the Hybrid Multi Criteria method. Hybrid is a combination of 2 methods in the system but runs according to their respective functions. The 2 multi-criteria hybrid methods applied include Simple Additive Weighting and Weighted Sum Model. The data used is 22 students from UIN Sayyid Ali Rahmatullah Tulungagung. The results of the two methods are almost the same, namely MHS8 and MHS10 are in the first and second positions respectively, then for the third position and so on there are differences between the two Hybrid methods. Based on the output results from the Hybrid Multi Criteria method, it can be concluded that the Simple Additive Weighting and Weighted Sum Model methods are ideal for helping provide decisions to leaders in a university to decide which students fall into the achievement category.
Co-Authors Kunti Eliyen