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All Journal Jurnal Informasi dan Komputer JOURNAL SCIENTIFIC OF MANDALIKA (JSM)
Parman Suparman
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Mathematics Other

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PENERAPAN METODE K-NEAREST NEIGHBOUR UNTUK SISTEM PENENTUAN PEMINJAMAN MODAL NASABAH BANK SYARIAH INDONESIA CABANG CIKARANG BERBASIS WEBSITE Melina Rahmadiah; Parman Suparman
Jurnal informasi dan komputer Vol 10 No 2 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 10 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i2.344

Abstract

In the process of determining capital loans to customers, checking customer data to find out several criteria, namely checking OJK slik, customer age, customer status, customer income in one month and type of guarantee. These criteria will determine whether the customer gets the loan funds or not. The problem that arises is because there is no computerized system in determining capital loans, so in determining the loan it is still using manual or personal assessments. Meanwhile, Bank Syariah Indonesia prioritizes data that is really accurate in lending capital to customers. The method used in determining the borrowing of the customer's capital is the K-NN (K-Neareast Neighbor) method. The reason is that this method is a method used for classification in finding the closest distance between the data to be evaluated and its nearest neighbor. The author collects data by conducting questions and answers or consultations that are carried out directly to the leadership of the Indonesian Islamic Bank Cikarang Branch to find out the obstacles that exist in the bank regarding information related to research. Calculation of the K-Nearest Neighbor (K-NN) algorithm is a method for classifying new objects based on (K) their closest neighbors. K-NN is a supervised learning algorithm, where the results of a new query instance are based on the results of the K-NN. The class that appears the most will be the class resulting from the classification. Create a customer loan determination system that can calculate the value accurately, whether the customer deserves to be borrowed capital or not and also makes a value classification based on the data available to the customer. Determine the maximum limit for each of the existing criteria.
Rancang Bangun Sistem Layanan Pengaduan Konsumen Berbasis Web Sandi Lukman Nurhakim; Parman Suparman; Pardo Frans
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 7 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss7pp2047-2058

Abstract

Complaints are complaints submitted by users or customers to service providers or services that do not comply with service standards, or neglect of obligations and violations of prohibitions. In the process of processing service data regarding customer complaints, it is known that complaints are made by customers by sending complaint information via social media or via telephone contact. After the complaint information has been provided, the service department will inform the admin staff via WhatsApp media by sending complaint data and customer complaints. Then the company will contact the customer via telephone to confirm the complaint sent, If the complaint has been processed to completion then proof of completion in the form of a photo is sent back to the admin staff to be re-data. The method used in this research is Waterfall. This method is a systematic and sequential information system development model. The result of this research is to design and build a Complaint Service System PT. Mandiri Transforma Global Web-based to facilitate the processing of service data regarding complaints by customers, speed up information related to complaint services, speed up the process of making complaint service reports by company customers, both those that have been processed and those that have not been processed and can be accessed online.
Co-Authors Melina Rahmadiah Pardo Frans Sandi Lukman Nurhakim