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All Journal Jurnal Teknologi dan Manajemen Informatika POROS TEKNIK Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Advanced in Information and Industrial Technology (JAIIT) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JAREE (Journal on Advanced Research in Electrical Engineering) J-Intech (Journal of Information and Technology) PELS (Procedia of Engineering and Life Science) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Innovative: Journal Of Social Science Research Science Contribution to Society Journal JOSAR (Journal of Students Academic Research) Jurnal Informatika Polinema (JIP)
Yuana, Haris
Universitas Islam Balitar
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Journal : PELS (Procedia of Engineering and Life Science)

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Decision Support System of Student Education Assistance Using Analytical Hierarchy Process (AHP) Sunan Giri Foundation Asromah Al Alawiyah; Haris Yuana; Wahyu Dwi Puspitasari
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (886.965 KB) | DOI: 10.21070/pels.v2i0.1153

Abstract

Student education assistance is a Foundation program for students to gain access to decent education services, prevent dropping out of school, attract poor students to return to school. In its application, there are problems in determining, one of which is the inaccuracy of the recipient's target. This is due to the many tasks, obligations and work programs that must be completed on time by division. Therefore, the solution that can be done for time efficiency in helping the foundation is to create a system using the Analytical Hierarchy Process (AHP). Because the decision support system is able to solve management problems in producing the best alternative to support decisions taken by decision makers. The criteria used in this system are student status, average value of report cards, SKMT (Certificate of Disability), parental income, parental dependents, home ownership status and achievement. The results of the tests carried out using the black box testing method obtained an accuracy value of 70.58%, meaning that the application has run in accordance with the expected results, while the accuracy of the beta testing of the questionnaire results to the validator is 86% and the testing to prospective users is 87.81%.
Co-Authors Adfiansyah, Farkhan Adhiyasa Khoirul Muttaqiin Afandi, Kautsar Aldo Nicholas Alwan Fauzaan Anugerah Utama, Jaka Ari Bintari, Dinny Asromah Al Alawiyah Awwalin, Beta Nurul Bayu Lokananta, Ricko Chulkamdi , M. Taofik Chulkamdi, Mukh Taofik Dimas Fanny Hebrasianto Permadi Dwi Fasnuari, Happy Andrian Dwi Puspitasari, Wahyu Eka Febri Anggara, Wahyu Eko Saputro, Wahyu Fani Putra, Nicky Febrinita, Filda Hartami Santi, Indyah Herliztyo, Deva Khasani, Abil Kholila, Ni'ma Kirom, Sabitul Kuncoro Timur, Bimo Kurnia Paranita Kartika Kurnia Paranita Kartika Riyanti Lestanti, Sri M. Taofik Chulkamdi, M. Taofik M.Taufiq Sauma Hendy Mawaddah, Udkhiati Mukh Taofik Chulkamdi Muttaqiin, Adhiyasa Khoirul Nizam, Muhammad Nizam Nur Budiman, Saiful Nur Hidayat Nur, Akbar Nurul Fitrah Rahmat, Mohammad Faried Rizaldy Gunawan Rochim, Bahrur Saiful Nur Budiman Saiful Nur Budiman Sholikhatul Kasanah, Eka Subeqi, Muhammad Surachmad, Bayu Taofik Chulkamdi, Mukh Udkhiati Mawaddah Ulya, Ulya Darotin Wahyu Dwi Puspitasari wahyu woro lestari Wicaksono, Eko Teguh Widya Andhika, Fibri Wulansari, Zunita Yusuf Pramono Yuswandari Zain Zakaria, Robby Zen, Mohammad Amir Fatkhi Zukhomsin, Devid Zunita Wulansari Zunita Wulansari