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Journal : Jurnal TAM (Technology Acceptance Model)

APPLICATION OF DATA MINING IN PREDICTING THE AMOUNT OF RESTAURANT TAX REVENUE USING C4.5 Afriza, Roby; Nurmayanti, Nurmayanti; Parida, Merri; Rahmatullah, Sidik
Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i2.1505

Abstract

Regional taxes are one of the important sources of regional income to finance the implementation of regional government in the context of serving the community and realizing regional independence. Restaurant tax is one of the regional taxes collected by the Way Kanan Regency Regional Revenue Agency and one of the determinants of the increase in Way Kanan District Original Revenue (PAD). Adapum This research raises the problem of not achieving the Restaurant Tax target in 2023. In this study using Data Mining there are various methods in data mining including the C4.5 algorithm. The C4.5 approach can forecast an increase in restaurant taxes, and the computation of the C4.5 algorithm yields the following results. From the results of calculating the 2018-2022 data above using Microsoft Excel, it is known that Class Recommendations totaling 185 are classified as Yes and No, 0 are classified as Yes but No, Next Class No totaling 65 is classified as No, and 0 Yes is classified as No, with a total data of 250. Microsoft Excel and Google Colab programs have been used to implement the C4.5 algorithm. Implementation of the C4.5 Algorithm has been carried out using Microsoft Excel and Googlel Colab applications. The result is that the description of all formulas and predictive results is simpler than the results of manual calculations through Microsoft excel using the C4.5 Algorithm which has an accuracy of 75%, and then proven by Google Colab with results of 100% accuracy.
Co-Authors Abdul Mahsyar Afriza, Roby Agustina, Intan Aini Fatimah Octaviani, Lale Aksan, Muhammad Al Badani, Abd Quddus Alimuddin Said, Alimuddin Amrullah, Lalu Azikri Angareani, Reni Antoni, Darius Anugrah, Cahya Dwi Ashira, Nurul Asri, Kholifatul Husna Bakti, Surya BASRI BASRI Cut Muthiadin Damayanti, Ana Muliana Sri Efendi, Dwi Marisa Eni, Nur Erlangga Erlangga Fajriyah, Fajriyah Fitrianti, Elsa Handy Ferdiansyah Harahap, Zakaria Hardianti Hardianti, Hardianti Hidayah, Hidayah Indah Indah Kahar, Fitriya kaharudin, la ode Khaerani, Khaerani Kumala, Nur Hakiki Dewi Kurniawan Kurniawan L, Syahrir LAURA, LAURA Linda Linda M, Usman Madaling, Madaling mardianti, Sri Mariana Mariana Marsena, Julia Marsyanda, Marsyanda Maryani Maryani Mawarni, Rima Mintoro, Sigit Muhammad Takdir, Muhammad Mutmainnah Mutmainnah Nabila Fitriya Nabilah Said, Andi Nafiisah Nada Clairina Sophian Nasywa Dwi Kamila Noer Ekafitri Sam NUR ATIFAH TAMRIN NURUL ZAHRATUL FAIQAH Parida, Merri Permatasari, Artha Rezki Rahmatullah, Sidik Raja, Raja Azura Ramdhani, Nina Krisna Riska Wati , Riska Wati Riswanto, Pakarti Rustam Rustam Sam Hermansyah Sandi Lubis Sartika Sartika Satriawan, Anggi Dwi Sijid, St. Aisyah Suhartini Suhartini Sundari Sundari Supriyanto Supriyanto Suryadi, Lusi Susuilayanti, Reni Syafruddin Syafruddin Syafutri Hidayat, Nur Syamsunir, Syamsunir Tahir, M. Hijaz Tang, Nurhidayah Ulfianti, Ulfianti Usman M, Usman M Wiranti, Bela amlia Amalia Wunasari, Aisha Yanto, Riadi Yusrianti, Yusrianti Zulkifli N