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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 Jurnal Ilmiah METHONOMI Jurnal Publikasi Ilmu Komputer dan Multimedia
Kadim, Lina Arliana Nur
STMIK KAPUTAMA
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EVALUASI PEMAHAMAN MAHASISWA DALAM MEMAHAMI MANAJEMEN RESIKO suria Alamsyah Putra; Lina Arliana Nur Kadim
Jurnal Pengabdian Masyarakat Disiplin Ilmu (JPMASDI) Vol. 2 No. 1 (2024): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v2i1.3548

Abstract

Evaluasi pemahaman mahasiswa dalam memahami manajemen risiko merupakan aspek penting dalam pendidikan tinggi yang bertujuan untuk mempersiapkan mereka dalam menghadapi tantangan di dunia kerja yang penuh risiko. Penelitian ini bertujuan untuk mengevaluasi tingkat pemahaman mahasiswa terhadap konsep dan praktik manajemen risiko serta faktor-faktor yang mempengaruhinya. Metode pengabdian yang digunakan adalah survei dan analisis data menggunakan instrumen penelitian yang telah disusun sebelumnya. Hasil penangbdian menunjukkan bahwa sebagian besar mahasiswa memiliki pemahaman yang cukup tentang konsep dasar manajemen risiko, tetapi masih terdapat area yang perlu ditingkatkan, terutama dalam hal penerapan konsep-konsep tersebut dalam konteks praktis. Faktor-faktor seperti latar belakang pendidikan, pengalaman kerja, dan tingkat kepercayaan diri dalam pengambilan keputusan juga memengaruhi tingkat pemahaman mahasiswa terhadap manajemen risiko. Berdasarkan temuan ini, disarankan agar pendidikan tinggi terus meningkatkan kurikulum dan metode pengajaran yang mendukung pembelajaran yang lebih aktif dan terintegrasi dalam manajemen risiko. Pemberian studi kasus, simulasi, dan proyek-proyek praktis dapat membantu mahasiswa mengembangkan pemahaman yang lebih mendalam dan keterampilan yang diperlukan untuk mengelola risiko secara efektif di masa depan.
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.
EVALUASI PEMAHAMAN MAHASISWA DALAM MEMAHAMI MANAJEMEN RESIKO Putra, suria Alamsyah; Kadim, Lina Arliana Nur
Jurnal Pengabdian Masyarakat Disiplin Ilmu Vol. 2 No. 1 (2024): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Januari 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v2i1.3548

Abstract

Evaluasi pemahaman mahasiswa dalam memahami manajemen risiko merupakan aspek penting dalam pendidikan tinggi yang bertujuan untuk mempersiapkan mereka dalam menghadapi tantangan di dunia kerja yang penuh risiko. Penelitian ini bertujuan untuk mengevaluasi tingkat pemahaman mahasiswa terhadap konsep dan praktik manajemen risiko serta faktor-faktor yang mempengaruhinya. Metode pengabdian yang digunakan adalah survei dan analisis data menggunakan instrumen penelitian yang telah disusun sebelumnya. Hasil penangbdian menunjukkan bahwa sebagian besar mahasiswa memiliki pemahaman yang cukup tentang konsep dasar manajemen risiko, tetapi masih terdapat area yang perlu ditingkatkan, terutama dalam hal penerapan konsep-konsep tersebut dalam konteks praktis. Faktor-faktor seperti latar belakang pendidikan, pengalaman kerja, dan tingkat kepercayaan diri dalam pengambilan keputusan juga memengaruhi tingkat pemahaman mahasiswa terhadap manajemen risiko. Berdasarkan temuan ini, disarankan agar pendidikan tinggi terus meningkatkan kurikulum dan metode pengajaran yang mendukung pembelajaran yang lebih aktif dan terintegrasi dalam manajemen risiko. Pemberian studi kasus, simulasi, dan proyek-proyek praktis dapat membantu mahasiswa mengembangkan pemahaman yang lebih mendalam dan keterampilan yang diperlukan untuk mengelola risiko secara efektif di masa depan.
Perancangan Sistem Penentuan Peluang Usaha pada Usaha Mikro di Kota Binjai Menggunakan Metode Topsis: Studi Kasus; Dinas Koperasi & Umkm Kota Binjai Heka Herawati Br Tarigan; Relita Buaton; Lina Arliana Nur Kadim
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.336

Abstract

As a developing city, Binjai has a variety of business potential that can be exploited by micro entrepreneurs. However, in identifying and exploiting these opportunities, they are often faced with various obstacles, such as lack of access to market information, intense competition, and changes in consumer needs. Therefore, determining effective business opportunities is the key to the growth and sustainability of micro businesses in Binjai City. Determining business opportunities for micro businesses in Binjai City includes an understanding of the complexities and challenges faced by the MSME sector in identifying and exploiting business opportunities. Determining business opportunities requires alternative types of business in the TOPSIS method to compare various business opportunities based on important factors so that you can choose the one with the most potential and profit. In this context, the use of the TOPSIS method is important to assist in making more informed and effective decisions for authorities such as the Department of Cooperatives and MSMEs. This method will provide a systematic framework for evaluating various existing business opportunities, enabling a more objective and accurate assessment to support the development of MSMEs in Binjai City.
Pengelompokan UMKM Kota Binjai Menggunakan Metode Clustering K-Means Untuk Mengidentifikasi Pola Perkembangan Bisnis Intan Sari; Yani Maulita; Lina Arliana Nur Kadim
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 2 (2025): Mei : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.148

Abstract

Grouping is a process or activity to develop a system that is more organized and easy to understand, making it easier to analyze, identify or manage data and can also be used to explore information so that it becomes new knowledge for anyone who wants to obtain it. and in this case the information we want to explore is about MSME data in Binjai City. Namely, it is difficult to know how to identify existing business development patterns, whether they are not yet developed, less developed, already developed, and very developed. Offline and online promotions have not been optimal in increasing the growth and change of a business from time to time. And most MSMEs still don't understand how to market their products and services effectively and efficiently. MSMEs are one of the most numerous community business groups in Binjai City. To obtain this information, one solution that can be implemented is by utilizing data mining using input data in the form of Binjai City MSME data. This data will be processed using the clustering method with the k-means algorithm using MSME business type variables, sales type variables and development pattern variables. .Based on the results of grouping Binjai City MSMEs using the K-Means Clustering Method from 20 grouped data, 3 clusters and 2 iterations were obtained where cluster 1 contained 4 data and was located in the MSME business type group, namely the businesses included in this cluster were businesses in the field of Fashion, for the sales type group, uses online and offline types, and for business development patterns, it has a development pattern that has developed. cluster 2 has 11 and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group the offline type is used, and for the business development pattern it has a development pattern that has developed. and cluster 3 has 5 data and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group it is using the offline type, and for the business development pattern it has a less developed development pattern. so it can be concluded that the pattern of business development of Binjai City MSMEs produces relevant data so as to produce designs that can be used for this research.
Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.322

Abstract

The process of accepting new students generates a lot of data in the form of profiles of students who register. From year to year there is an increase in the number of prospective new students who come from several areas in Binjai City, Langkat Regency and surrounding areas, so the location of the socialization of new student admissions promotions every year is increasing and wider. And from several schools that have been visited and are expected to provide new prospective students, in fact, it is not proportional to the final number of prospective students who register. In this study, applying the K-Means Clustering algorithm using 3 variables namely, region, school origin, major. In determining the location of new student admissions promotions, the promotion team first identifies what factors will influence the determination of promotional locations ranging from region, school origin and majors that are considered to be set as promotional locations. Based on the results of grouping new student admission data of STMIK Kaputama Binjai using the K-means Clustering method from 20 data that has been processed, 3 clusters and 3 iterations are produced where cluster 1 has 9 data, cluster 2 has 2 data and cluster 3 has 9 data.
Penerapan Metode Apriori Untuk Menentukan Best Rule Pada Penjualan Pakaian: Studi Kasus : Toko Amezon Elisa Br. Sembiring; Relita Buaton; Lina Arliana Nur Kadim
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 3 (2025): September: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i3.5197

Abstract

The Indonesian fashion industry is experiencing rapid and competitive growth, requiring businesses to be more responsive to consumer needs and preferences. Amezon Store, as a clothing retailer, faces challenges in stock management due to inaccurate forecasts of market demand. This mismatch between the quantity of goods provided and the items in demand by consumers can lead to stockpiling and hamper capital turnover. Therefore, a system capable of analyzing sales transaction patterns effectively is needed. This study applies the Apriori method to find the best rule or optimal purchasing pattern from clothing sales transaction data at Amezon Store. The Apriori method was chosen because of its ability to explore associations between frequently purchased items, thus supporting the decision-making process in inventory planning. The results of this study are expected to provide strategic recommendations to store management in providing products according to market needs, minimizing the risk of planning errors, and improving overall store operational efficiency. Based on the analysis conducted using RapidMiner, the best rule with 2 itemsets is obtained, namely IF buying Manset Then buying Hijab with support 0.0129 (1.29%) and confidence 0.564 (56.4%), the best rule with 3 itemsets is IF buying Long Pants, Pleated Skirt Then buying Distro T-Shirt with support 0.0101 (1.01%) and confidence 1 (100%) the best rule with 4 itemsets is IF buying Shirt, baby clothes, Short Pants Then buying One set with support 0.0101 (1.01%) and confidence 0.9167 (91.67%).
Pendampingan Pembuatan Nomor Induk Berusaha (NIB) Bagi Pelaku UMKM Wilayah Binjai & Langkat Sebagai Upaya Peningkatan Legalitas Usaha Lina Arliana Nur Kadim; Husnul Khair; Kristina Annatasia; Indah Ambarita; Magdalena Simanjuntak; Melda Pita Uli Sitompul; Ratih Puspadini; Ameliana Sihotang; Zira Fatmahira; Suci Ramadani; Suria Alamsyah Putra
Jurnal Pengabdian Masyarakat Disiplin Ilmu Vol. 4 No. 2 (2026): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v4i2.8082

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in strengthening the national economy, particularly in job creation and local economic resilience. However, many MSME actors still face administrative constraints, especially in obtaining a Business Identification Number (NIB), which is a mandatory legal requirement for formal business operations through the Online Single Submission (OSS) system. Limited digital literacy and lack of understanding regarding licensing procedures often become the main obstacles. This community service activity aims to provide assistance and guidance to MSME actors in the process of registering and obtaining their Business Identification Number (NIB) through the OSS system. The implementation method consisted of socialization sessions, technical training, direct mentoring, and evaluation. Participants were guided step-by-step in preparing required documents, creating OSS accounts, and completing the NIB registration process. The activity also involved active participation from students as facilitators under academic supervision. The results showed an increase in participants’ understanding of business legality and successful issuance of NIB for assisted MSMEs. Participants demonstrated improved confidence in operating legally and accessing broader business opportunities. The implementation of this mentoring program contributes to strengthening MSME legal compliance, improving digital administrative capabilities, and supporting government programs in accelerating formalization of small businesses. Keywords: UMKM, NIB, OSS, Business Legality
Analisis Kombinasi Faktor Asal Sekolah dan Jurusan Terhadap Pilihan Program Studi Calon Mahasiswa Baru STMIK Kaputama: Strategi Data-Driven untuk Optimalisasi Penerimaan Mahasiswa Baru Lina Arliana Nur Kadim; Suci Ramadani
Jurnal Ilmiah METHONOMI Vol. 12 No. 1 (2026): Jurnal Ilmiah METHONOMI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methonomi.Vol12No1.pp15-29

Abstract

This study aims to analyze the combined effect of school origin and academic major on study program choices of prospective students, as well as to formulate data-driven admission strategies. The research gap lies in the limited use of historical enrollment data to examine the relationship between educational background and study program selection, particularly in private higher education institutions. This study employs a descriptive quantitative approach with a correlational design using secondary data from 1,462 applicants over five academic years (2021–2026) at STMIK Kaputama. Data were analyzed using descriptive statistics, cross-tabulation, and segmentation analysis. The results indicate a significant relationship between educational background and study program selection. Information Systems emerges as the most preferred program across all segments, while Informatics Engineering is more dominant among vocational graduates with technical backgrounds such as TKJ and RPL. Furthermore, three main segments were identified: academic (SMA), vocational technology (SMK TKJ/RPL), and transition segments (non-technical SMK and MA). The study concludes that student admission strategies should shift from mass marketing to segmented, data-driven approaches to improve effectiveness and institutional competitiveness.
Co-Authors ., Novriyenni ACHMAD FAUZI Ahmad Fauzi Ambarita, Indah Ameliana Sihotang Ardianti Ardianti Aulia Adlin Revaldi Ayu Dasriani, Ni Gusti Bagus Triawan, Bagus Brema Daniel Ginting Buaton, Relita Dea Syafitri Deny Jollyta Dio Fani Prakasa Dwi Oktarina Elisa Br. Sembiring Elni Arbaeti, Endang Fatimah Gusrianty Gusrianty Heka Herawati Br Tarigan Imran Lubis Intan Sari Khair, Husnul Kristina Annatasia Melda Pita Uli Sitompul Novriyenni Novriyenni Novriyenni Novriyenni Nursakinah Pardede, Akim Manaor Hara Putra, Suria Alamsyah Ramadani, Suci Ratih Puspadini Renita Astri Retni Noviyanti Siregar Ronauli Silaban Sihombing, Anton Simanjuntak, Magdalena Simanjuntak, Magdalena Siregar, Retni Noviyanti Suci Rahmadani suria Alamsyah Putra Yani Maulita Yusfrizal Yusfrizal Zema Zema Zira Fatmahira