SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RANKING SMK TERBAIK DI LAMPUNG TENGAH MENGGUNAKAN METODE MULTIPLE ATTRIBUTE DECISION MAKING

Sri Ipnuwati(1), Dian Puspita(2), Ria Rukmana(3),


(1) Prodi Sistem Informasi, STMIK Pringsewu, Lampung
(2) Prodi Sistem Informasi, STMIK Pringsewu, Lampung
(3) Prodi Sistem Informasi, STMIK Pringsewu, Lampung
Corresponding Author

Abstract


Determining the right and best school is not easy. We must look for information in the schools that we go to, then compare it and choose which schools are suitable according to the criteria, such as determining which Vocational School in Central Lampung we must determine from different aspects as consideration for reviewing the best Vocational Schools, therefore we use decision support system as the best method of determining Vocational School, Decision Support System is a computer-based interactive system that is able to help decision makers to find the best alternative based on predetermined criteria using the MADM method (Multiple Attribute Decision Making). This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is to determine the best Vocational High School based on the specified criteria. The study was conducted by looking for weight values for each attribute. Of the five alternatives that are used as the highest sample values there are in the first alternative A1 with a value of 86 that indicates that alternative one is an alternative chosen as the best Vocational School in Central Lampung.


Keywords


decision support system, MADM

References


P. R. Indonesia, “Undang-Undang Republik Indonesia Nomor 20 Tahun 2003 Tentang Sistem Pendidikan Nasional,” Undang. Republik Indones., no. 1, 2013.

S. Oktafianto, Elisabet Yunaeti Anggraeni, “Sistem Pendukung Keputusan Perangkingan Sekolah Menengah Kejuruan (SMK) Di Kabupaten Pringsewu Menggunakan Metode Weighted Product (WP),” J. Expert, vol. 7, no. 1, hal. 66–71, 2017.

Basri, “Metode Weightd Product ( WP ) Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Prestasi,” Insypro, vol. 2, no. 1, hal. 1–6, 2017.

E. Turban, J. E. Aronson, dan T.-P. Liang, “Decision Support Systems and Intelligent Systems,” Decis. Support Syst. Intell. Syst., vol. 7, hal. 867, 2007.

E. Turban, R. Sharda, dan D. Delen, Decision Support and Business Intelligence Systems. Chapter 6 Artificial Neural Networks for Data Mining, vol. 8th. 2007.

Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan, Ed. 1. Yogyakarta: Penerbit Andi Yogyakarta, 2007.

S. Kusumadewi, S. Hartati, A. Harjoko, dan Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2013.

S. H. Hanifa, Muhamad Muslihudin, “Sistem Pendukung Keputusan Menentukan Besar Gaji Untuk Guru Honorer Di Kabupaten Pesawaran Menggunakan Metode Fuzzy SAW,” Jurtek IST Akprind Yogyakarta, vol. 9, no. 2, hal. 83–88, 2016.

M. Muslihudin, D. Kurniawan, dan I. Widyaningrum, “Implementasi Model Fuzzy SAW Dalam Penilaian Kinerja Penyuluh Agama,” J. TAM ( Technol. Accept. Model ), vol. 8, no. 1, hal. 39–44, 2017.

A. D. Susanti, M. Muslihudin, dan S. Hartati, “Sistem Pendukung Keputusan Perankingan Calon Siswa Baru Jalur Undangan Menggunakan Simple Additive Weighting ( Studi Kasus : SMK Bumi Nusantara Wonosobo ),” SEMNASTEKNOMEDIA, vol. 5, no. 1, hal. 37–42, 2017.

U. D. Negara et al., “Undang-Undang Dasar Negara Republik Indonesia,” no. 2, hal. 1–19, 1945.

Undang-Undang Pendidikan Nasional, Undang-Undang Republik Indonesia Nomor 20 Tahun 2003 Sistem Pendidikan Nasional, no. 1. Indonesia, 2003, hal. 1–26.

Kementrian Pendidikan Nasional, Peraturan Mentri Pendidikan Nasional Republik Indonesia. Indonesia, 2006, hal. 1–48.


Full Text: PDF

Article Metrics

Abstract View : 347 times
PDF Download : 59 times

DOI: 10.56327/jurnaltam.v10i1.738

Refbacks

  • There are currently no refbacks.