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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Manajemen Informatika Jayakarta Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI Jurnal Penelitian Teknologi Informasi dan Sains Jurnal ABDIMAS MUTIARA Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Kadim, Lina Arliana Nur
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Journal : Journal of Mathematics and Technology (MATECH)

 1 
APPLICATION OF K-MEANS CLUSTERING ALGORITHM TO ANALYZE INSURANCE COMPANY BUSINESS (CASE STUDY: PT. JASINDO INSURANCE) Elni Arbaeti, Endang; Hara Pardede, Akim Manaor; Nur Kadim, Lina Arliana
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.161

Abstract

Asuransi Jasindo is an insurance company that accepts insurance coverage, both directly and indirectly, with the ownership of 1 series A dwiwarna share owned by the Republic of Indonesia and 424,999 Series B shares owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia or known as Asuransi Jasindo, has a qualified, long and mature experience in the field of general insurance even since the colonial era. This experience provides its own pioneering value for the existence and growth of Asuransi Jasindo's performance to date, so that it has succeeded in gaining public trust both at home and abroad. PT Asuransi Jasa Indonesia has several products and options in choosing which insurance is needed by customers, both agriculture, health, education and many more. Due to the large amount of insurance data, it is difficult for companies to process existing data and information. Therefore the author wants to create an application that can help companies process and classify existing insurance user data to produce information that can make it easier for insurers to provide better service to meet insurance user satisfaction using the K-Means Algorithm method. Of the 1089 data analyzed, the results that were most widely used were insurance data with ages 26-35 years, located in the Medan city sub-district with the type of insurance used, namely Jasindo Micro insurance.
PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN SPANDUK MENGGUNAKAN ALGORITMA C4.5 Triawan, Bagus; Lubis, Imran; Kadim, Lina Arliana Nur
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.172

Abstract

Selling banners is an essential part of the advertising business, and having the ability to predict sales can assist companies in more effective production and marketing planning. In this research, we collected banner sales data from January to June 2023 and used the C4.5 algorithm to process the data. The decision tree method can help address issues occurring in the store. RapidMiner will aid in determining which products are more popular and less popular. Using the RapidMiner method will yield more accurate decision data and simplify product analysis. Based on the research findings, banners frequently ordered by consumers. The results of this research can serve as a guide for companies to optimize their banner sales strategies.
Co-Authors ., Novriyenni Adlin Revaldi, Aulia Ahmad Fauzi Ambarita, Indah Ardianti Ardianti Astri , Renita Ayu Dasriani, Ni Gusti Bagus Triawan, Bagus Brema Daniel Ginting Buaton, Relita Dea Syafitri Deny Jollyta Dio Fani Prakasa Dwi Oktarina Elni Arbaeti, Endang Fatimah Fauzi, Achmad Gusrianty Heka Herawati Br Tarigan Imran Lubis Intan Sari Magdalena Simanjuntak Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Nursakinah Pardede, Akim Manaor Hara Putra, Suria Alamsyah Retni Noviyanti Siregar Ronauli Silaban Sihombing, Anton Simanjuntak, Magdalena Siregar, Retni Noviyanti Suci Rahmadani suria Alamsyah Putra Yani Maulita Yusfrizal Yusfrizal Zema Zema