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All Journal Fountain of Informatics Journal RESEARCH : Computer, Information System & Technology Management Journal of Information Systems and Informatics Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Jurnal Pengabdian Kepada Masyarakat
Pradityo Utomo
Universitas Merdeka Madiun
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : research computer information system

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Application of Weighted Product (WP) Method in Decision Support of Unmer Madiun Rector Election Pradityo Utomo; Arief Budiman
RESEARCH : Journal of Computer, Information System & Technology Management Vol 3, No 2 (2020)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/research.v3i2.6700

Abstract

Universitas Merdeka Madiun (UNMER Madiun) is a private campus in Madiun, East Java, led by a Chancellor. The Chancellor served for four years. Prospective Chancellors choose through Senate consideration. The selection parameters include Curriculum Vitae, Vision and Mission, and Feasibility Test. In giving attention, debates often occur in Senate meetings. Based on this, this study created a system based on information technology that can help in making decisions. Decision Support System made using the Weighted Product method. Because in terms of computing time is faster than other SPK methods, so it is faster in making decisions. The criteria used to determine decisions using the assessment parameters used in the 2019 Chancellor election. The flow of this research starts from the stage of data collection, library research, making a decision support system, and testing the system. At the stage of data collection, it was done by collecting secondary data such as the parameter parameters in the selection of the Chancellor, which then is used for the criteria data. Furthermore, in making decision support systems using prototyping system development methods. After the system is created, the system tested. For the results of this study have been successfully applied Weighted Product method to support the decision of the Chancellor selection. Furthermore, the system that has tested using the BlackBox method evaluates the success of the system. Based on the results of system testing, the success rate of SPK that has made 100% successful results.
Sistem Pendukung Keputusan Pemilihan Mahasiswa Penerima Beasiswa Lokal Manajemen Informatika Unmer Madiun menggunakan Weighted Product Pradityo Utomo; Arief Budiman
RESEARCH : Journal of Computer, Information System & Technology Management Vol 2, No 1 (2019)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.538 KB) | DOI: 10.25273/research.v2i1.3728

Abstract

Beasiswa merupakan dana bantuan yang diperuntukkan bagi anak yang berprestasi atau kurang mampu. Universitas Merdeka Madiun (Unmer Madiun) adalah salah satu Perguruan Tinggi Swasta di Jawa Timur yang memiliki program beasiswa lokal pada program studinya. Salah satu program studi di Unmer Madiun yang memiliki program beasiswa lokal adalah Manajemen Informatika. Beasiswa lokal diperuntukkan khusus mahasiswa Manajemen Informatika yang memiliki prestasi di bidang akademik. Untuk pemilihan mahasiswa yang menerima harus memenuhi beberapa kriteria, antara lain mahasiswa harus memiliki IPK di atas 3,00 , mahasiswa harus pernah menulis karya ilmiah, dan mahasiswa harus aktif dalam organisasi.  Sistem Pendukung Keputusan (SPK) yang berbasis teknologi informasi dapat digunakan untuk membantu pemilihan mahasiswa yang berhak menerima beasiswa lokal, Kriteria yang digunakan untuk pemilihan juga diterapkan dalam SPK pemilihan mahasiswa penerima beasiswa lokal. Untuk metode yang digunakan Sistem Pendukung Keputusan adalah Weighted Product. Sistem Pendukung Keputusan dibangun menggunakan metode Build and Fix, yang dianggap mampu membangun sistem secara cepat. Pada penelitian sistem pendukung keputusan pemilihan mahasiswa penerima beasiswa lokal program studi Manajemen Informatika, didapatkan hasil tingkat keberhasilan sistem sebesar 100% dengan pengujian Black Box. Berdasarkan keberhasilan yang dicapai, sistem dapat digunakan dalam membantu pemilihan mahasiswa yang berhak menerima beasiswa lokal.
Co-Authors Arief Budiman Indriani Kusuma Wardani Joko Triono Laily Fatmawati Nanang Junaedi Nor Amadi, Dwi Pebri Romadhon Rochidajah Rochidajah Setiyo Daru Cahyono Tomi Tristono Yuda Febri Astrawinata