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Permatasari, Hanifah
Universitas Duta Bangsa Surakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Jurnal Informatika Global

 1 
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti) Robi Wariyanto Abdullah; Dwi Hartanti; Hanifah Permatasari; Arif Wicaksono Septyanto; Yuda Abi Bagaskara
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2060

Abstract

Toko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall.    Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matrix
Co-Authors Abdul Rohim Bayu Aji Prayogo Abdullah Sajad Aditya Gema Pratama Aditya Rachman Putra Afu Ichsan Pradana Agustina Niken Laraswati Agustina Srirahayu Ahmad Khairul Adi Aldova Herbryan Putra Alfisal Punjung Kurniawan Amad Tri Yanto Andi Saputro Andika Pratama Ardiansyah, Muhammad Irfan Areta Reza Pradana Arif Wicaksono Septyanto Arif Wicaksono Septyanto Armeta Eka Putri Wibowo Artdelia Pingkan Salsabilla Artdelia Pingkan Salsabilla Atina, Vihi Atmojo, Fernando Winantya Bagas Setiadi Bahrul Aziz Rifai Bangun Prajadi Cipto Utomo Berlian Agustina, Anggun Brian Bagus Apriansah Cikal Fauziah Fatin Sawitri Cipto Utomo, Bangun Prajadi Claudia Swastikawati Dear Whizkid Aziiz Deleviar, Angky Fay Dewangga Ranggi Wiku Didik Kurniawan Dinda Amelia Galuh Puspita Sari Dinda Rizky Asmara Dos Santos, Savio Nelinhos Dwi Hartanti Dwi Hartanti Dwi Prasetiyo Dwi Septieni Dwika Nur Arifin Eka Arya Saputra Eka Wijanarka Satata Putra Eko Purwanto Eko Purwanto Eko Purwanto Erlang Bagus Sadewa Faiq Muhammad, Nibras Fany Kusuma Dewi Farida Surya Jati Fatimah Naim Azahara Faulinda Ely Nastiti Febrianti, Krisna Fitriana Sekar Kinasih Ghani Ardiesta, Alif Gian, Habib Nur Habib Nur Gian Hanif Nur Ahmad Hanif Sangga Paramanandi Hany Arya Wardhany Hartanti, Dwi Hasanah, Herliyani Henokh Lugo Hariyanto Hidayatullah, Muhamad Ichsan Ichsan Pradana, Afu Ika Putri Pujianti Indah Nofikasari Inta Oktaviani Intan Oktaviani Irawan, Ridwan Dwi Irwan Budianto Janah, Selvi Miftakhul Joel Adikurnia Purnama Kukuh Supriyanto Kuncorowati, Dewi Liana Trihardianingsih Linda Kusuma Dewi Listiani, Titin Ma'ruf Nur Muhammad Maharani, Tiara Putri Maulindar, Joni Mochamad Saefudin Moh. Muhtarom Mohd, Farahwahida Muhamad Ilhamsyah Amara Ramadana Muhammad Alwan Nurdin Muhammad Exsa Nugroho Muhammad Hashfi Rafid Muttaqin Muhammad Khovivul Anam Muhtarom, Moh Nafaria Rohmandani Ni’mal ‘Abdu, Aghni Rizqi Nibras Faiq Muhammad Novita Widyasari Nur Indahsari, Reggie Nurchim Nurchim Nurchim Nurchim Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Otami Amalina Pipin Widyaningsih Pradana, Afu Ichsan Pramono Pramono Purwanto, Eko Putri Wibowo, Armeta Eka Rahadian, Dwiki Rasya Raihan Abdurrahim Al Ayyubi Ramadhan, Chandra Randis Wahyuni Rani Elsa Putri Ricky Eko Novianto Rico Yoga Pradana Ridho, Taufik Rini, Selfia Yustika Riyan Hidayah Robi Wariyanto Abdullah Rudi Susanto Sabar Sularno Salsabila Nurul Afifah Saputri, Okta Ramma Saputro, Khoirul Adi Saputro Sebastian, Angga Sejati, Ariya Putra Setiadi, Bagas Setiawan, Stevania Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Siti Fatimah Siti Munawaroh Sofa Marwati Sri Mahardhika Pratiwi Sri Sumarlinda Srirahay, Agustina Stevania Frederica F.S Stevania Setiawan Sukma, Cahyaning Arum Surya Jati, Farida Syawaludin, M Ainur Telaga Nabila Putri Riyanto Toni Iksanudin Tri Wulandari, Rahmawati Desi Triyono Triyono Triyono Triyono Triyono Utomo, Bangun Prajadi Cipto Vanya Tabitha Wahyu Cahya Adi Putra Wahyudi Wahyudi Wanda Fadillah Wibowo, Anita Carolina Yogi Setyawan Putra Pratama Yuda Abi Bagaskara Zeno Candragufa Muria