[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118450-id":3,"doc-seo-118450-113":31,"detail-sidebar-cat-0-id-113":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},118450,2336475104042,"Skyler","https://ap-avatar.wpscdn.com/avatar/22000c4c32af1715be0?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786537525561427321",54,"Penelitian & Laporan","Deteksi Tindak Kecurangan Penjualan di Perusahaan Distribusi Menggunakan Machine Learning","Penjualan pada perusahaan distribusi memiliki transaksi yang sangat besar sehingga menjadi celah bagi pelaku untuk melakukan tindak kecurangan dengan berbagai pola dan menimbulkan kerugian signifikan. Pola kecurangan yang dipelajari oleh ahli internal auditor diproses menjadi kerangka expert system untuk mendukung deteksi sejak dini. Penelitian ini membandingkan beberapa model supervised learning—Decision Tree, K-Nearest Neighbors, Random Forest, Support Vector Machine, dan Regresi Logistik—untuk memperoleh akurasi tinggi agar risiko serta tingkat kerugian penjualan dapat diminimalkan.","Deteksi Tindak Kecurangan Penjualan di Perusahaan Distribusi Menggunakan Machine  \nLearning  \n[http://dx.doi.org/10.28932/jutisi.v9i2.6932](http://dx.doi.org/10.28932/jutisi.v9i2.6932)  \nRiwayat Artikel  \nReceived: 12 Juli 2023 | Final Revision: 24 Juli 2023 | Accepted: 25 Juli 2023  \nCreative Commons License 4.0 (CC BY – NC)   \nBudi Wibowo Suhanjoyo􀀍 \\#1, Bernard Renaldy Suteja *2, Hapnes Toba \\#3  \n\\# Magister Ilmu Komputer Fakultas Teknologi Informasi, Universitas Kristen Maranatha Jl. Prof. drg. Surya Sumantri, M.P.H. No. 65, Bandung, 40164, Indonesia  \n[1](1 2179005@maranatha.ac.id)[ 2179005@maranatha.ac.id](1 2179005@maranatha.ac.id)  \n[2](2bernard.rs@it.maranatha.edu)[bernard.rs@it.maranatha.edu](2bernard.rs@it.maranatha.edu)  \n[3](3 hapnes.toba@it.maranatha.edu)[ hapnes.toba@it.maranatha.edu](3 hapnes.toba@it.maranatha.edu)  \n􀀍 Corresponding author: [2179005@maranatha.ac.id](2179005@maranatha.ac.id)  \nAbstract—Penjualan pada perusahaan distribusi menjadi salah satu tempat sering terjadinya tindak kecurangan. Tindak kecurangan tersebut terjadi dengan berbagai cara dan menimbulkan kerugian yang berdampak cukup besar bagi perusahaan. Tindak Kecurangan tersebut memiliki pola tertentu. Pola-pola yang terjadi pada praktek tindak kecurangantersebut dipelajari oleh para ahli internal auditor perusahaan. Pengalaman para ahli tersebut diolah menjadi suatu sistem yang disebut dengan Expert System. Diperlukan suatu alat bantu yang berbasis teknologi agar tindak kecurangan bagian penjualan dapat terdeteksi sejak dini. Target penelitian ini adalah agar dapat memberikan manfaat bagi perusahaan dengan deteksi dini tindak kecurangan pada bagian penjualan. Pada saat penelitian ini dilakukan, belum ada ditemukan penelitian sejenis dengan objek yang sama. Pada penelitian ini akan dilakukan komparasi dari berbagai model algoritma machine learning dengan tujuan agar dapat diketahui apakah dengan menggunakan tekonologi machine learning dapat membantu mendeteksi tindak kecurangan dengan nilai akurasi tinggi. Metode algoritma yang digunakan adalah metode supervised learning. Model algoritma yang akan dikomparasi adalah Decision Tree, K-Nearest neighbors, Random Forest, Support Vector Machine dan Regresi Logistik. Diharapkan dengan menggunakan teknologi machine learning maka tindak kecurangan dapat dideteksi sejak dini, sehingga tingkat kerugian dan risiko penjualan dapat diminimalkan.  \nKata kunci—Fraud; Machine Learning; Supervised Learning.  \nFraud Detection in Sales of Distribution Companies Using Machine Learning  \nAbstract—The sales department of a distribution company is one of the places where fraud often occurs. This fraud occurs in various ways and causes massive losses for the company. These frauds have certain patterns. The patterns that occur in these practices are studied by the company's internal auditor experts. The experience of these experts is processed into a system called the Expert System. The support of a technology-based tool is needed to detect sales fraud early. The purpose of this research is to be able to provide benefits for companies with early detection of fraud in the sales department. At the time this research was conducted, no similar research with the same object had been found. In this research, a comparison of various machine learning algorithm models will be carried out to  \nknow whether using machine learning technology can help detect fraud with a high accuracy value. The algorithm method used is the supervised learning method. The algorithm models to be compared are Decision Tree, K-Nearest Neighbors, Random Forest, Support Vector Machine, and Logistic Regression. It is expected that by using machine learning technology, fraud can be detected early so that the level of loss and risk of sales can be minimized.  \nKeywords—Fraud; Machine Learning; Supervised Learning.  \nI. INTRODUCTION  \nCompanies engaged in distribution services generally have a very large number of transactions. Some of the characteristic","cbCaio2xOsxvmEDU","https://ap.wps.com/l/cbCaio2xOsxvmEDU","pdf",729128,4,1,13,"Indonesian","id",113,"# Pendahuluan\n## Karakteristik transaksi dan risiko kecurangan\n## Kebutuhan deteksi fraud\n# Metode dan model yang dibandingkan\n## Supervised learning\n## Decision Tree, KNN, Random Forest, SVM, Regresi Logistik","[{\"question\":\"Mengapa penjualan pada perusahaan distribusi rawan tindak kecurangan?\",\"answer\":\"Karena perusahaan memiliki jumlah transaksi, penjualan, pelanggan, dan item barang yang sangat besar sehingga memberi celah bagi pelaku untuk melakukan kecurangan dan meningkatkan potensi tindakan fraud di bagian penjualan.\"},{\"question\":\"Apa tujuan penelitian ini?\",\"answer\":\"Menyediakan alat berbasis teknologi untuk mendeteksi tindak kecurangan penjualan sejak dini agar kerugian dan risiko penjualan dapat diminimalkan.\"},{\"question\":\"Algoritma machine learning apa saja yang dibandingkan dalam penelitian ini?\",\"answer\":\"Penelitian membandingkan Decision Tree, K-Nearest Neighbors, Random Forest, Support Vector Machine, dan Regresi Logistik menggunakan metode supervised learning.\"}]","Deteksi Tindak Kecurangan Penjualan di Perusahaan Distribusi Menggunakan Machine Learning | PDF",1785683675,20,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"fraud-detection-in-sales-of-distribution-companies-using-machine-learning","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":53,"name":13,"@type":44,"position":20},"https://docshare.wps.com/id/document/fraud-detection-in-sales-of-distribution-companies-using-machine-learning/118450/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-16","2026-08-02",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Mengapa penjualan pada perusahaan distribusi rawan tindak kecurangan?","Question",{"text":76,"@type":77},"Karena perusahaan memiliki jumlah transaksi, penjualan, pelanggan, dan item barang yang sangat besar sehingga memberi celah bagi pelaku untuk melakukan kecurangan dan meningkatkan potensi tindakan fraud di bagian penjualan.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Apa tujuan penelitian ini?",{"text":81,"@type":77},"Menyediakan alat berbasis teknologi untuk mendeteksi tindak kecurangan penjualan sejak dini agar kerugian dan risiko penjualan dapat diminimalkan.",{"name":83,"@type":74,"acceptedAnswer":84},"Algoritma machine learning apa saja yang dibandingkan dalam penelitian ini?",{"text":85,"@type":77},"Penelitian membandingkan Decision Tree, K-Nearest Neighbors, Random Forest, Support Vector Machine, dan Regresi Logistik menggunakan metode supervised learning.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,99,103,107,111,115,117,121,125,129,133],{"id":95,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":97,"slug":102},48,"Cerita & Novel","story-novel",{"id":104,"doc_module":4,"doc_module_name":47,"category_name":105,"show_sort_weight":97,"slug":106},56,"Gaya Hidup","lifestyle",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":97,"slug":110},51,"Komik","comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":97,"slug":114},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":97,"slug":116},"research-report",{"id":118,"doc_module":4,"doc_module_name":47,"category_name":119,"show_sort_weight":97,"slug":120},49,"Sastra","literature",{"id":122,"doc_module":4,"doc_module_name":47,"category_name":123,"show_sort_weight":97,"slug":124},52,"Teknologi","technology",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":127,"show_sort_weight":97,"slug":128},50,"Ujian","exam",{"id":130,"doc_module":4,"doc_module_name":47,"category_name":131,"show_sort_weight":97,"slug":132},57,"Umum","general",{"id":134,"doc_module":4,"doc_module_name":47,"category_name":135,"show_sort_weight":4,"slug":136},181,"Formulir","formulir"]