Journal
METODE FUZZY TOPSIS MADM SEBAGAI ALTERNATIF PENGAMBILAN KEPUTUSAN MENENTUKAN PENERIMA BEASISWA PPA BERBASIS WEB
Unnes Journal of Mathematics · Vol. 5 No. 1 (2017) · pp. 72–80
- ISSN
- 2460-5859, 2252-6943
- Published
- 2017-02-27
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This study examines the decision making to determine the scholarship recipients Improving Academic Achievement (PPA) at the State University of Semarang (UNNES) with details of criteria that include student GPA, number of credits taken, the value of student affairs, and the income of parents. The decision making process admission PPA UNNES scholarship implemented with the programming language of PHP with MySQL database and calculations using the method of Fuzzy TOPSIS Multiple-Attribute Decision Making (MADM). The results of reception system PPA UNNES scholarship in this study is a ranking by 50 students of the value of the preferences of the applicants and then taken by students who ranked top 10 of the results of ranking of preferences for recommended escapes in scholarship acceptance PPA UNNES. Based on these results it can be concluded that a web-based decision support systems can be built using TOPSIS Fuzzy MADM with the structure of the programming language PHP and MySQL as a Database Management System (DBMS). In the development of future systems, can be done by adding other data supporting the selection of scholarship PPA
Collaboration network of the authors
40 authors · 166 co-authorship links · 12 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Institut Teknologi Kalimantan
- State University of Semarang
- Tun Hussein Onn University of Malaysia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Emi Pujiastuti | State University of Semarang | 8 |
| Alamsyah Alamsyah | Institut Teknologi Kalimantan | 7 |
| Scolastika Mariani | State University of Semarang | 6 |
| Amin Suyitno | Affiliation unknown | 6 |
| Putriaji Hendikawati | Affiliation unknown | 5 |
| Endang Sugiharti | State University of Semarang | 4 |
| Much Aziz Muslim | Tun Hussein Onn University of Malaysia | 3 |
| Amalia Ika Wulandari | Affiliation unknown | 3 |
| Sunarmi Sunarmi | Affiliation unknown | 3 |
| Arief Agoestanto | Affiliation unknown | 3 |
| Masrukan Masrukan | State University of Semarang | 3 |
| Walid Walid | State University of Semarang | 3 |
| Riza Arifudin | State University of Semarang | 2 |
| Chris Jeremy Verian Sitorus | Institut Teknologi Kalimantan | 2 |
| Muhammad Uswah Pawara | Institut Teknologi Kalimantan | 2 |
| Rodlian Jamal Ikhwani | Institut Teknologi Kalimantan | 2 |
| Suardi Suardi | Affiliation unknown | 2 |
| Amalia Ika Wulandari | Institut Teknologi Kalimantan | 2 |
| Suardi Suardi | Institut Teknologi Kalimantan | 2 |
| Muhamad Faishol Hakim | Affiliation unknown | 2 |
| Meidika Bagus Saputro | Affiliation unknown | 2 |
| Diah Siti Fatimah Azzahrah | Affiliation unknown | 2 |
| Lisa Ariyanti | Affiliation unknown | 2 |
| Nurkaromah Dwidayati | Affiliation unknown | 2 |
| Aisyah Fany Achmalia | Affiliation unknown | 2 |
| Mulyono Mulyono | Affiliation unknown | 2 |
| Isti Hidayah | Affiliation unknown | 2 |
| Rochmad Rochmad | Affiliation unknown | 2 |
| Dwijanto Dwijanto | Affiliation unknown | 2 |
| Hardi Suyitno | Affiliation unknown | 2 |
| Budi Prasetiyo | State University of Semarang | 1 |
| Jumanto Jumanto | State University of Semarang | 1 |
| Rofik Rofik | State University of Semarang | 1 |
| Charles Sambera Kala | Affiliation unknown | 1 |
| Niti Gede Kumandang | Institut Teknologi Kalimantan | 1 |
| Irvan Setiawan | Institut Teknologi Kalimantan | 1 |
| Samsu Dlukha Nurcholiq | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.