IMPLEMENTASI ALGORITMA APRIORI SEBAGAI ALTERNATIF STRATEGI PROMOSI UNIVERSITAS PGRI MAHADEWA INDONESIA
DOI:
https://doi.org/10.59819/jmti.v15i1.4643Keywords:
Data Mining, Apriori Algorithm, Association Rules, Promotion Strategy, Pattern Analysis, SDLC WaterfallAbstract
UPMI Bali is a new campus, so campus promotion is still very much needed to increase prospective new students at UPMI Bali. By utilizing available data, the campus can determine effective campus promotion strategies using data mining. The data system will be built using the Association Rules technique. Association Rules is a data mining method to find frequently occurring association patterns in data. This method is popular because it is often used to analyze shopping carts. The rules formed will be in the form of "If-Then" in a transaction. Using the apriori algorithm generally involves finding frequent itemsets from a sales transaction database through several iteration stages. The association patterns formed with a minimum support value of 10% and confidence of 50% produced 18 association rules, with the strong rule obtained being Lecturer and Denpasar with a support value of 22% and confidence of 50%. Thus, if students know about the UPMI campus reference from a Lecturer, then these students are from Denpasar.
Downloads
References
Aprianti, Winda, Khairul Anwar Hafizd, and Muhammad Redhy Rizani. 2017. “Implementasi Association Rules Dengan Algoritma Apriori Pada Dataset Kemiskinan.” Limits: Journal of Mathematics and Its Applications 14(2): 57. doi:10.12962/limits.v14i2.2933.
Bassil, Youssef. 2012. “A Simulation Model for the Waterfall Software Development Life Cycle.” International Journal of Enggineering & Technology (IJET) 02(05): 3823–30. doi:10.15680/ijircce.2015.0305013.
Fauzy, Mohamad, Kemas Rahmat Saleh W, and Ibnu Asror. 2016. “Penerapan Metode Association Rule Menggunakan Algoritma Apriori Pada Simulasi Prediksi Hujan Wilayah Kota Bandung.” Jurnal Ilmiah Teknologi Infomasi Terapan 2(3). doi:10.33197/jitter.vol2.iss3.2016.111.
Kusumo, Haryo, Eko Sediyono, and Marwata Marwata. 2019. “Analisis Algoritma Apriori Untuk Mendukung Strategi Promosi Perguruan Tinggi.” Walisongo Journal of Information Technology 1(1): 49. doi:10.21580/wjit.2019.1.1.4000.
Listriani, Dewi, Anif Hanifa Setyaningrum, and Fenty Eka. 2018. “PENERAPAN METODE ASOSIASI MENGGUNAKAN ALGORITMA APRIORI PADA APLIKASI ANALISA POLA BELANJA KONSUMEN (Studi Kasus Toko Buku Gramedia Bintaro).” Jurnal Teknik Informatika 9(2): 120–27. doi:10.15408/jti.v9i2.5602.
Published
Issue
Section
Copyright (c) 2025 Budhya Wirandha Gupta, Ida Ayu Putu Febri Imawati, I Wayan Dika, I Kadek Juni Arta

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with the Jurnal Manajemen dan Teknologi Informasi agree to the following terms:
1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. 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 acknowledgment of its initial publication in this journal.
3. 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. (See The Effect of Open Access) .