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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Mantik Penusa Jurnal Informatika Universitas Pamulang JIPN (Journal of Informatics Pelita Nusantara) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Basic and Applied Science Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Ulead : Jurnal E-pengabdian Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif
Bosker Sinaga
STMIK Pelita Nusantara
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation Other

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Journal : Journal of Computer Networks, Architecture and High Performance Computing

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Data Mining Classification Of Filing Credit Customers Without Collateral With K-Nearest Neighbor Algorithm (Case study: PT. BPR Diori Double) Sinaga, Jeprianto; Sinaga, Bosker
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.401

Abstract

Unsecured loans are the community's choice for lending to banks that provide Reviews These services. PT. RB Diori Ganda is a regional private banking company that serves savings and loans and loans without collateral for the community. Submission of unsecured loans must go through an assessor team to process the analysis of the attributes that Affect the customer's classification so that credit can be approved, the which is then submitted to the commissioner for credit approval. But what if Reviews those who apply for credit on the same day in large amounts, of course this will the make the process of credit analysis and approval will take a long time. If it is seen from the many needs of the community to apply for loans without collateral, a classification application is needed, in order to Facilitate the work of the assessor team in the process of analyzing the attributes that Affect customer classification. To find out the classification of customers who apply for unsecured loans for using data mining with the K-Nearest Neighbor algorithm. The result of this research is the classification of problematic or non-performing customers for credit applications without collateral.
Election Decision Support System Based on the Best Teacher Performance Assessment in State Smp 2 One Roof SAW Method Using STM Hilir Adhar, Tengku Afan; Sinaga, Bosker; Sulindawaty, Sulindawaty
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.438

Abstract

The process of teacher performance assessment Effectively, precisely, Objectively, and transparently is the important point in selecting the best teacher assessment based on their performance. This assessment was Carried out in SMP Negeri 2 One Roof STM Hilir to avoid the accusations of Injustice and family relationship with the assessor in the school, both the Headmaster and the teacher selection committee. Therefore, a decision system is needed in selecting the decision. One method is the which can be used in solving the problem of Multiple Criteria Decision Making (MADM) is by using Simple Additive weighting (SAW) method, Because The method concept is so easy to understand, simple, effective computationally and has ability in measuring the relative performance of alternative decisions in mathematical form. In addition, Also the design application used UML (Unified Modeling Language) is implemented a system roomates in the software by using Web Programming and MySQL as its database. Finally, based on the design of this application, it can be seen that the decision system by using SAW method is very effective, fast, computerized and transparent accurately in Determining the teacher performance in SMPN 2 One Roof STM Hilir.
Analysis of Detergent Inventory Stock at Luch Laundry Using the Linear Regression Method Sinaga, Bosker; Tarigan, Nera Mayana Br; Marpaung, Rahmadina; Zamili, Kristof Rian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5396

Abstract

Inventory stock management is an important aspect in the laundry business to ensure smooth operations and minimize costs. Laundry Detergent shortages or overstocks can cause service disruptions and unnecessary additional costs. Therefore, a method is needed that can help predict stock needs accurately, one of which is the linear regression method. The data used includes historical data on detergent use and other factors that influence demand over several time periods. Through linear regression analysis, a predictive model can be built to estimate detergent needs in the future, so that stocks can be managed more efficiently. Research Method, namely the survey research method, is a research method carried out using surveys or direct data collection from Laundry Luch. The method/algorithm used to analyze the data is the linear regression method. The aim of this research is to apply the linear regression method in detergent inventory stock and to carry out analysis using the linear regression method in detergent inventory stock. The research results from the data that have been collected show that the predicted stock of detergent supplies for Laundry Luch in January 2025, with an estimated total usage of 111 boxes of detergent and a target usage of 95 boxes of detergent, is 129 boxes of detergent. The research conclusion is that the linear regression method provides real benefits in supporting data-based decision making.
Co-Authors Adhar, Tengku Afan Agustina Purba Al Hashim, Safa Ayoub Anastasya Aritonang Rajagukguk Angelia M Manurung Arjon Samuel Sitio Barus, Eviyanti Br Barus, Nadela Bedizatulo Laia Br Barus, Maya Theresia Br Sitepu, Siska Feronika Br Tarigan, Nera Mayana Cindy Shintia Afriani Harahap Daniel Peris Halomoan Hutajulu Desimeri Laoli Dessy Sarah Simbolon Dina Fanita Ester Simanjuntak Fanita, Dina Fretty Wandani Ginting Fristi Riandari Harry Sutanto Hasanah, Holis Hasren Meliani Zebua Hasugian , Paska Marto Hasugian, Penda Sudarto Hengki Tamando Sihotang Humala Simangunsong Hutahaean, Harvei Desmon Ida Royani Simanungkalit Irwanda Prayogi Ivan NUSANTARA siagian Iwan Setiawan Jakaria Sembiring Jeprianto Sinaga Jijon Raphita Sagala Jimmi Herdianda Gurusinga Jimmi Herdianda Gurusinga Julius Sinaga Julius Sinaga, Julius Junius Sembiring Krisswanti, Yuri Laia, Erlina Logaraj Logaraj Lorena Ade Yolanda Sembiring Manurung, Jonson Marpaung, Meman Marpaung, Preddy Marpaung, Rahmadina Meman Marpaung Miftahul Jannah Muhammad Ibnu Hawari Murni Marbun Nansia, Oktavio Nera Mayana Br Tarigan Nera Mayana Br Tarigan Br Tarigan Nera Mayana Br.Tarigan Nina Karina Lolo Bintang Nopriansya Nopriansya Oktavio Nansia Parastia, Devina Prayogi, Irwanda Puspa Sari Puspita Sari R. Mahdalena Simanjorang Ramen, Sethu Rehliasna Br Barus Riska Amelia Riski Hari Hadi Salomo Sijabat Santhia Sarjon Defit Sembiring, Abdi Agustianta Sethu Ramen Silalahi, Monalisa Hotmauli Simamora, Erli Susanti Simanjuntak, Ester Sinaga, Anita Sindar R M Sinaga, Jeprianto Siregar, Nurika Sari Sucitra Sidabutar Sulindawaty Sulindawaty, Sulindawaty Susandri, Susandri Tania, Keke Tarigan, Eviyanti Br Tarigan, Ita Roseni Br Tarigan, Nera Mayana Br Tengku Afan Adhar Uzitha Ram Zamili, Kristof Rian