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Fahrullah, Fahrullah
Universitas Mulia
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Journal : Building of Informatics, Technology and Science

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Sistem Pendukung Keputusan Penerima Kartu Indonesia Pintar (KIP) Menggunakan Analisis Metode MOORA dan MOOSRA Prayogo, M. Ari; Jundillah, Muhammad Labib; Fahrullah, Fahrullah; Rosita, Dewi; Alimyaningtias, Wahyu Nur; Adhari, Vika Aidila; Rifkiansyah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6384

Abstract

The decision-making process is important to improve efficiency and accuracy, especially in assistance programs such as the Smart Indonesia Card (KIP). The problem in this study is that the selection process often faces several obstacles, such as inappropriate targets and subjectivity in decision-making. Therefore, a system is needed that can help decision-making more objectively, transparently, and efficiently. Decision Support Systems (DSS) are one solution that can be used to overcome these problems. This study aims to create a DSS in determining eligible KIP recipients, using two multi-criteria analysis methods, namely MOORA (Multi-Objective Optimization by Ratio Analysis) and MOOSRA (Multi-Objective Optimization on the basis of Simple Ratio Analysis). Analysis using the MOORA and MOOSRA methods in determining prospective students receiving the Smart Indonesia Card (KIP) was carried out using 7 alternatives and 9 criteria. This system is designed by considering criteria such as parental dependents, place of residence, type of house, average report card grades, father's education, mother's education, father's occupation, mother's occupation, and parents' income. The results of the study show that based on the analysis of the calculation of the MOORA and MOOSRA methods, the ranking results were obtained with A5 or Zaysa as alternative students who are entitled to receive KIP among other alternative students. The results of the analysis show that both methods provide consistent results in identifying students who are most entitled to receive KIP assistance. As a recommendation, this system can be further developed in the form of a web-based or mobile application to facilitate implementation and expand the scope of its use.
Co-Authors Abdul Haris Adhari, Vika Aidila Agung Ranggono Alameka, Faza Alimyaningtias, Wahyu Nur Aminurrahman Anggiat Parsaoran Sihombing Apriyanur, Andry Arbain Arbain, Arbain Ashari, M Azhary Noersidiq Bintan, Yeva Brigitha Valensia Angela Budiyanto, Eri Bulkaini (Bulkaini) Dahlanuddin Dahlanuddin, Dahlanuddin Deddy Kurniawan Dedi Mirwansyah Dedy Mirwansyah Dedy Mirwansyah Dewanto, Natanael Dewanto Dini Rohmayani Djoko Kisworo Dody Prasetia Purnama Fahrullah, Haerullah Faisal Randa Yanuar Fauziah Fauziah Fauziah Fauziah Faza Alameka Fitriani, Baik Mesy Darita Gifari, Zaid Al Gobel, Yusriyah Atikah Haerullah Haerullah Haerullah, Haerullah Hasma Hasma Heri Yansah Herlina Bintang Saputri Ika Purnamasari Ikhwan Firhamsah Indra Wahyudi, Indra Ine Karni Ismayanti, Rika Jundillah, Muhammad Labib Khairullah, Muhammad Azmi Kusrini K M. Ari Prayogo M. Irwan Ukkas Irwan Ukkas Ukkas Maurit Sipayung Mirwansyah, Dedy Mokoginta, Meity M Mokoolang, Susan Muhammad Adryan Pratama Muhammad Azmi Khairullah Muhammad Duki Muhammad Ferdiansyah Muhammad Rayda Bazhrullah Muhammad Syahnur Muhsinin, Muhammad Muhyiddin Muhyiddin Nariza Wanti Wulan Sari Ni Ketut Dewi Haryani, Ni Ketut Dewi Noersidiq, Azhari Nova Agustina Novandi, Dody Nugraha, Kiky Aristiana Nurmawan, Ade Pangestu, Indra Dwi Prambudi, Yulva Pupung Purnamasari Putriani Putriani Raisman Adhitya Ramadhan, Raihan Renaldi Anwar Retno Purwani Setyaningrum Reza Tamia Fransiska Rezki Amalyadi Ridhawani, Achmad Rifkiansyah, Muhammad Rivaldy, Tico Riyayatsyah Riyayatsyah , Riyayatsyah Riyayatsyah, Riyayatsyah Rizal Putra Aditya Rosita, Dewi Sari, Nariza Wati Wulan Septian, I Gede Nano Sherina Aulia Miranda Sigit Pangestu Soetomo, Sofian Sri Wahyuni Sunita Dasman Supriyanto Supriyanto Syamsul Wijayanto Taqiuddin, Moh Thalita Emilia Islami Sukoco Tina Tri Wulansari Vebera Maslami Wardana, Surya Meygi Wijayanto, Syamsul Wiji Prima Fitriyanto Wulansari, Tina Tri Yepa Bintan Zaid Al Gifari