Analysis of Canteen Selection for Bunga Bangsa Cirebon Students Using the Weighted Product (WP) Method
DOI:
https://doi.org/10.46799/ijssr.v3i12.644Keywords:
Analysis, Canteen Selection, Weighted Product Method, Cirebon StudentsAbstract
With the rising number of canteens in Cirebon, students face a more intricate decision-making process in selecting the most suitable option. This research introduces a Decision Support System (DSS) aimed at aiding Cirebon students in effectively choosing a canteen. Utilizing the Weighted Product Method, various criteria, including distance, menu prices, parking area, atmosphere, and wifi speed, are assessed. Data collection involves observations and interviews. The system development employs technology, particularly a user-friendly application developed in collaboration with Microsoft Excel. The application provides a quantitative assessment of cafes, ranking them based on overall suitability to student preferences. This research significantly contributes to enhancing the decision-making process for students seeking an optimal canteen experience in Cirebon. The study not only offers insights into the criteria considered but also provides specific details on the outcomes derived from the Weighted Product Method. This research serves as a practical tool, allowing users to explore available canteen options with the ultimate goal of facilitating a more informed and satisfying selection process. The clear structure and refined language enhance the overall readability of the abstract.
References
Apsiswanto, U., & Pamungkas, C. A. (2022). PENERAPAN METODE WEIGHT PRODUCT (WP) PADA PEMILIHAN KAFE BAGI MAHASISWA PENDATANG DI KOTA METRO. Jurnal Informatika.
Yohana, D., Karolina, P., & Tamba, M. (2021). Sistem Pendukung Keputusan Pemilihan Baju Tunik Wanita Berbadan Gemuk Menggunakan Metode AHP: Sistem Pendukung Keputusan Pemilihan Baju Tunik Wanita Berbadan Gemuk Menggunakan Metode AHP. KLIK: Kajian Ilmiah Informatika dan Komputer, 218-227.
Fransiska, D. (2023). Sistem Pendukung Keputusan Menentukan E-Commerce Terbaik Menggunakan Metode Weighted Product. PROSISKO: Jurnal Terbaik PengembanganRiset dan Observasi Sistem Komputer.
Ipnuwati, S., & Afrian, D. (2020). Sistem Penunjang Keputusan untuk Menentukan Genteng Terbaik Menggunakan Metode Weighted Product (Wp)(Studi Kasus: di Desa Banyuwangi Pringsewu Lampung). Expert.
Irawan, H., Isma, F., & Irwansyah. (2021). Kajian Daerah Rawan Kebakaran Kota Langsa Menggunakan Metode Weight Product (WP). Jurnal Informatika dan Teknologi Komputer (JICOM), 01-05.
Palasara, N., Satria, M., Prasetyo, F., FU, A. S., & Sinnun, A. (2023). Metode Weighted Product Dalam Penerapan Sistem Pendukung Keputusan Pemilihan Fashion Pria. Information Managment For Educator and Professionals, 183-193.
Apsiswanto, U., & Pamungkas, C. A. (2022). PENERAPAN METODE WEIGHT PRODUCT (WP) PADA PEMILIHAN KAFE BAGI MAHASISWA PENDATANG DI KOTA METRO. Jurnal Informatika.
Yohana, D., Karolina, P., & Tamba, M. (2021). Sistem Pendukung Keputusan Pemilihan Baju Tunik Wanita Berbadan Gemuk Menggunakan Metode AHP: Sistem Pendukung Keputusan Pemilihan Baju Tunik Wanita Berbadan Gemuk Menggunakan Metode AHP. KLIK: Kajian Ilmiah Informatika dan Komputer, 218-227.
Fransiska, D. (2023). Sistem Pendukung Keputusan Menentukan E-Commerce Terbaik Menggunakan Metode Weighted Product. PROSISKO: Jurnal Terbaik PengembanganRiset dan Observasi Sistem Komputer.
Ipnuwati, S., & Afrian, D. (2020). Sistem Penunjang Keputusan untuk Menentukan Genteng Terbaik Menggunakan Metode Weighted Product (Wp)(Studi Kasus: di Desa Banyuwangi Pringsewu Lampung). Expert.
Irawan, H., Isma, F., & Irwansyah. (2021). Kajian Daerah Rawan Kebakaran Kota Langsa Menggunakan Metode Weight Product (WP). Jurnal Informatika dan Teknologi Komputer (JICOM), 01-05.
Palasara, N., Satria, M., Prasetyo, F., FU, A. S., & Sinnun, A. (2023). Metode Weighted Product Dalam Penerapan Sistem Pendukung Keputusan Pemilihan Fashion Pria. Information Managment For Educator and Professionals, 183-193.
Sahara, B., Ginting, B. S., & Syahputra, S. (2022). enentuan Penerimaan Bantuan Masyarakat Menggunakan Metode Weight Product (WP). Journal of Computer Science and Informatics Engineering (CoSIE), 198-209.
Sari, S. W., & Purba, B. (2019). Sistem Pendukung Keputusan Pemilihan Ketua Danru Terbaik Menggunakan Metode ARAS. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 291-300.
Simanungkalit, E., & Tarigan, J. S. (2019). Sistem Pendukung Keputusan Pemilihan Teknisi Komputer Terbaik Dengan Menggunakan Metode Weighted Product. Jurnal Teknik Ibnu Sina (JT-IBSI), 33-38.
Syahputra, M. R., Winanjaya, R., & Okprana, H. (2019). Sistem Pendukung Keputusan Pemilihan Lokasi Prewedding Menggunakan Metode Weight Product. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 695-701.
Wahono, S., & Ali, H. (2021). Peranan Data Warehouse, Software Dan Brainware Terhadap Pengambilan Keputusan (Literature Review Executive Support Sistem for Business). Jurnal Ekonomi Manajemen Sistem Informasi, 225-239.
Wibowo, M. A., Mustofa, M., & Siregar, M. F. (2023). Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Metode Weighted Product. STAINS (SEMINAR NASIONAL TEKNOLOGI & SAINS), 427-434.
Kuswanto, J., Wulandari, A. F., Yani, I., Samudra, S. R., & Dapiokta, J. (2023). Penerapan Metode Weighted Product (WP) untuk Menentukan Penerimaan BLT di Desa Rawasari. KLIK: Kajian Ilmiah Informatika dan Komputer, 503-508.
Published
Issue
Section
License
Copyright (c) 2023 Raodatul Jannah, Riska Rahayu
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.