Penerapan Data Mining Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel Motor (Study Kasus Bengkel Sinar Service)

  • Boby Septia Pranata * Mail Budi Darma, Indonesia
  • Dito Putro Utomo Budi Darma, Indonesia
Keywords: Data Mining, Inventory, Spare Parts, Motorcycle, FP-Growth Algorithm

Abstract

The strategy used by motorcycle workshop management is through software applications with information systems to obtain a new innovation. In the process of selling goods, it is expected to provide benefits for those who use information technology because it can improve sales quality by providing services and recommendations to sellers and buyers. can even provide promotions. For this reason, the application of the association rules analysis application was developed in finding patterns of the combination of relationships between item-sets and for processing data on the accumulation of sales of workshop tools so far unknown for use so that the accumulated data was mined and information extracted and extracted information which is useful or called data mining is then extracted and interpreted by the pattern of sales trend of tools to improve services that are often sold using the FP-Growth algorithm. FP-Growth is an alternative algorithm that can be used to determine the set of data that most often appears (Frequent Item Set) in a set of data and uses the concept of building trees in the search for Frequent Item Sets. This research was conducted by observing the variable data of equipment repairing equipment to improve service.

References

[1] Sri Rahayu Siregar. (2014). IMPLEMENTASI DATA MINING PADA PENJUALAN TIKET PESAWAT MENGGUNAKAN ALGORITMA APRIORI(Studi Kasus:Jumbo Travel Medan). ISSN: 2301-9425 Vol VII No 1, Juli , 2014.
[2] Kezia Sumangkut, Arie Lumenta, Virginia Tulenan (2016). Analisa Pola Belanja Swalayan Daily Mart Untuk Menentukan Tata Letak Barang Menggunakan Algoritma FP-Growth,E-Journal Teknik Informatika ISSN Print: 2085-1588. ISSN Online: 2355-4614 Vol. 8, No. 1, April 2016.
[3] Ryan Yunus A11.2011.06161, Suprayogi, M.Kom. (2011). PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA FP-GROWTH UNTUK PENYUSUNAN TATA LETAK OBAT BERWASPADA POLIKLINIK UNIVERSITAS DIAN NUSWANTORO.
[4] Ririanti. (2014). IMPLEMENTASI ALGORITMA FP-GROWTH PADA APLIKASI PREDIKSI PERSEDIAAN SEPEDA MOTOR (STUDI KASUS PT.PILAR DELI LABUMAS) ISSN :2301-9425 Vol.VI : No. 1, Maret 2014.
[5] Ali Ikhwan, Dicky Nofriansyah, Sriani. (2015). Penerapan Data Mining dengan Algoritma FP-Growth untuk Mendukung Strategi Promosi Pendidikan (Studi Kasus Kampus STMIK Triguna Dharma). ISSN : 1978-6603 Jurnal SAINTIKOM Vol.14 No 3,September 2015.
[6] Goldie Gunadi, Dana Indra Sensuse. (2012). PENERAPAN METODE DATA MINING MARKET BASKET ANALYSIS TERHADAP DATA PENJUALAN PRODUK BUKU DENGAN MENGGUNAKAN ALGORITMA APRIORI DAN FREQUENT PATTERN GROWTH (FP-GROWTH) : STUDI KASUS PERCETAKAN PT.GRAMEDIA, Jurnal Telematika MKom ISSN :2085-7251 VOL.4 No.1, Maret 2012.
[7] Fitriyani. (2015). IMPLEMENTASI ALGORITMA FP-GROWTH MENGGUNAKAN ASSOCIATION RULE PADA MARKET BASKET ANALYSIS. ISSN : 2355-6579 Informatika. Vol II No : 1, April 2015 .
[8] Heroe Santoso, I Putu Hariyadi, Prayitno. (2016). DATA MINING ANALISA POLA PEMBELIAN PRODUK DENGAN MENGGUNAKAN METODE ALGORITMA APRIORI. ISSN : 2302-3805 NO : 6-7, Februari 2016.
[9] Budanis Dwi Meilani dan Azmuri Wahyu Azinar. (2015). PENENTUAN POLA YANG SERING MUNCUL UNTUK PENERIMA KARTU JAMINAN KESEHATAN MASYARAKAT (JAMKESMAS) MENGGUNAKAN METODE FP-GROWTH. ISSN : 2089-1121.
[10] Aprisal Budiana. (2016). IMPLEMENTASI DATA MINING PADA PENJUALAN PRODUK DI PT. FOCUS GAYA GRAHA MENGGUNAKAN METODE ASSOCIATION RULE. ISSN :2089-9033.
[11] Kennedi Tampubolon., Hoga Saragih., Bobby Reza. (2013). IMPLEMENTASI DATA MINING ALGORITMA APRIORI PADA SISTEM PERSEDIAAN ALAT-ALAT KESEHATAN. ISSN :2339-2101 Vol 1, No : 1, Oktober 2013
[12] D. P. Utomo and B. Purba, "Penerapan Datamining pada Data Gempa Bumi Terhadap Potensi Tsunami di Indonesia," Prosiding Seminar Nasional Riset Information Science (SENARIS), vol. 1, pp. 846-853, 2019.
[13] R. Amelia and D. P. Utomo, "ANALISA POLA PEMESANAN PRODUK MODERN TRADE INDEPENDENT DENGAN MENEREPAKAN ALGORITMA FP. GROWTH (STUDI KASUS: PT. ADAM DANI LESTARI)," KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 3, no. 1, pp. 416-423, 2019.
[14] D. P. Utomo and M. Mesran, "Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung," JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 4, no. 2, pp. 437-444, 2020.
Dimensions Badge
Published
2020-07-08
How to Cite
Septia Pranata, B., & Putro Utomo, D. (2020). Penerapan Data Mining Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel Motor (Study Kasus Bengkel Sinar Service) . Bulletin of Information Technology (BIT), 1(2), 83 - 91. Retrieved from https://journal.fkpt.org/index.php/BIT/article/view/12
Issue
Vol 1 No 2: Juli 2020
Section
Articles

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License 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 (Refer to The Effect of Open Access).