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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer Networks, Architecture and High Performance Computing Internet of Things and Artificial Intelligence Journal
Erwin Sirait
Politeknik Bisnis Indonesia
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Debtor Data Collection Information System at PT. PNM Pematangsiantar Branch Erwin Sirait; Sahat Sonang
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/cnahpc.v2i2.794

Abstract

This study aims to create a web-based debtor information system at PT. PNM Pematangsiantar Branch. The design and manufacture are intended to facilitate debtor data management. So that employees can easily enter debtor data without having to write it conventionally. Using conventional methods has a negative impact. One of the negative effects of the system that is still in use is data search, data retrieval will take time because you have to open documents one by one. In addition to data search, data collection on prospective debtors wishing to establish a working relationship with companies is also a negative impact from conventional methods. With this application, it is hoped that the processing and data collection of debtor data will be faster and more accurate. The information system to be designed will be in the form of a web and use a MySQL database. It is hoped that this research can solve the problem of debtor information systems at PT.PNM Pematangsiantar Branch.
Implementation of Simple Additive Weighting in Providing Micro Business Loans at Bank Mandiri Pematangsiantar Sahat Sonang Sitanggang; Erwin Sirait
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.948

Abstract

Banks are institutions and institutions that are organizations and institutions in Indonesia and have an important role in the sustainability of the Indonesian economy. Bank Mandiri is one of the banks that provides micro business credit facilities to the business world. The higher the public's interest in getting micro business credit, the banks need software to help determine who is entitled to credit. In order to produce a proper feasibility analysis, a method of decision-making in overcoming these problems is needed so that determining who is entitled to receive credit is not too long and efficient in reducing credit risk. Problems arise in the decision-making process for granting micro-business loans, namely the inaccuracy of micro-business credit recipients. The above problems can be resolved by building a Decision Support System which can assist decision makers in assessing and selecting micro business loans using variables: Income, Collateral, Loan Limit, Installments, Length of Business, Number of Dependents. The system built by applying the Simple Additive Weighting method is known as the method of adding weight. The Simple Additive Weighting method requires a decision matrix normalization process  to a scale that can be compared with all available alternative ratings. This will be a reference in ranking and consider the advantages and disadvantages of applying for a credit loan in order to find the desired candidate. From the test results using 10 data samples, it was obtained that the first rank was received credit on behalf of A5 with a value of 9.33, and the last rank was on behalf of A6 with a value of 6.4. and very helpful in solving problems faced by Bank Mandiri Pematangsiantar.
SISTEM INFORMASI PEMBAYARAN SPP PADA SMK SWASTA TELADAN TANAH JAWA MENGGUNAKAN VB.NET Heru Sugara; Erwin Sirait; M. Ali Hanafiah; Nancy Florida Siagian
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 3 No 1 (2020)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v3i1.125

Abstract

The purpose of this study was to design a tuition payment accounting information system using Vb.Net which aims to simplify and accelerate the Teladan Tanah Jawa private vocational school in processing school fee payment data. The research method used in this research is observation, interview, sampling, and literature study. The analysis tools used are Data Flow Diagrams (DFD), Entity Relationship Diagrams and the relationships between tables. This information system makes it easier for the school administration to find student data, process arrears data, data on daily school fees and reports on tuition payments.
Best Employee Selection Using The Additive Ratio Assesment Method Victor Marudut Mulia Siregar; Erwin Sirait; Lasminar Lusia Sihombing; Ivana Maretha Siregar
Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v3i1.589

Abstract

This study aims to solve the problem of selecting the best employees at Café Alvina. In order for employee performance to be further improved and more motivated in doing their work, the leadership gives awards to employees who have a good reputation in it so that all employees are motivated to be able to improve the quality of their respective work. The problem of selecting the best employees is done by building a decision support system. The DSS was built using the ARAS (Additive Ratio Assessment method) method. The criteria used consisted of discipline, responsible, diligent, and cooperation with the weight of each criterion being 0.28, 0.11, 0.19, 0.31, 0.11. The results obtained from this study are the best employee recommendations consisting of employee_004 with a score of 0.9246 ranked 1st, employee_006 with a score of 0.8244, ranked 2nd, and employee_002 with a score of 0.5446 ranked 3rd. Through this decision support system, Alvina's café manager was greatly assisted because it becomes easier to decide on the selection of the best employees at the Café.
Co-Authors Heru Sugara Ivana Maretha Siregar Lasminar Lusia Sihombing M. Ali Hanafiah Nancy Florida Siagian Sahat Sonang Sahat Sonang Sitanggang Victor Marudut Mulia Siregar