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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Intelektualita: Keislaman, Sosial, dan Sains
Nurhachita Nurhachita
Universitas Islam Negeri Raden Fatah Palembang
Arts Humanities Computer Science & IT Education Engineering Social Sciences

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A comparison between deep learning, naïve bayes and random forest for the application of data mining on the admission of new students Nurhachita Nurhachita; Edi Surya Negara
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i2.pp324-331

Abstract

The process of admitting new students at Universitas Islam Negeri Raden Fatah each year produces a lot of new student data. So that there is an accumulation of student data continuously. The purpose of this study is to compare deep learning, naïve bayes, and random forest on the admission of new students as well as being one of the bases for making decisions to determine the promotion strategy of each study program. The data mining method used is knowledge discovery in database (KDD). The tools used are rapid miner. The attributes used are student ID number, name, program study, faculty, gender, place of birth, date of birth, year of entry, school origin, national examination, type of payment, and nominal payment. The new student data used from 2016 to 2019 was an 18.930 item. The results of this study used deep learning bayes results resulted in an accuracy value of 52.65%, naïve bayes results resulted in an accuracy value of 99.79%, and random forest results resulted in an accuracy value of 44.65%.
Sistem Informasi Monitoring Honda Sales Order Berbasis Web pada PT. Daya Anugrah Mandiri Nurhachita Nurhachita
Intelektualita Vol 8 No 1 (2019): Jurnal Intelektualita: Keislaman, Sosial, dan Sains
Publisher : Wakil Rektor III Bidang Kemahasiswaan dan Kerjasama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/intelektualita.v8i1.4231

Abstract

Daya Anugrah Mandiri merupakan perusahaan yang bergerak dalam bidang bisnis retail sepeda motor honda yang telah berdiri sejak tahun 2002. Aktivitas perusahaan mencakup penjualan motor honda, baik secara cash maupun kredit. Prosedur penjualan di perusahaan ini, penjualan cash lebih sederhana dibandingkan penjualan secara kredit, karena prosedur transaksi penjualan secara cash dilakukan langsung di dealer atau perusahaan tersebut. Sedangkan prosedur transaksi penjualan secara kredit dilakukan dengan adanya pihak ke tiga yaitu leasing, bank, atau pihak asuransi. permasalahan yaitu kepala cabang dan area manajer jika ingin mengetahui laporan penjualan per marketing, total penjualan keseluruhan, mengetahui marketing yang telah melakukan penjualan terbanyak, melihat rata-rata diskon yang telah digunakan oleh marketing, dan mengetahui persediaan unit motor yang masih tersedia di dealer. Kepala cabang harus stand by di dealer agar bisa mengetahuinya, jika kepala cabang sedang di luar, kepala cabang terkadang kesulitan untuk mengetahuinya. Kepala cabang harus menanyakan dulu kepada ADH ataupun Admin yang stand by di dealer. Tujuan untuk membangun Sistem Informasi Monitoring Honda Sales Order Berbasis Web pada PT. Daya Anugrah Mandiri Berbasis Web (Area Sumatera Selatan) dengan menggunakan Data Flow Diagram (DFD). Sistem ini dibangun diharapkan membantu pihak PT. Daya Anugrah Mandiri (Area Sumatera Selatan) dalam memonitoring penjulan di masing-masing cabang.
Co-Authors Edi Surya Negara