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Journal : Bulletin of Information Technology (BIT)

Sistem Pendukung Keputusan Kelayakan Pemberian Kredit Nasabah Dengan Metode Electre Marlin Lasena; Sulistiawati Rahayu Ahmad
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.690

Abstract

PT Hasjrat Abadi has collaborated with a financing institution to provide opportunities for vehicle ownership through credit facilities. The credit system offered by the financing institution can boost vehicle sales. However, before that, the lender must conduct a thorough consumer data analysis. This is crucial to ensure that potential customers can repay the approved vehicle loans, thereby avoiding the risk of loan defaults in the future. The process of consumer data analysis is time-consuming due to the abundance of documents involved. Additionally, field surveys are necessary to validate consumer data by applying the 5C Bank Principles (character, capital, capacity, collateral, and condition). Research Objective By implementing the Electre (Elimination and Choice Translation Reality) method in the decision support system, we can provide quick, accurate, and precise information to determine whether potential customers are eligible to purchase vehicles from PT Hasjrat Abadi through credit. This method utilizes the 5C Bank Principles (character, capital, capacity, collateral, and condition) to evaluate consumers. The method used is Research and Development (R&D), which aims to develop specific products and test their effectiveness. The research findings indicate that this system can enhance the services provided to customers at PT Hasjrat Abadi's branch in Gorontalo. Based on the data input by credit analysts, it was found that only 50 percent of the total potential customer data could be approved using the Electre method for credit applications. This facilitates faster, more accurate, and more reliable decision-making for customers.
Implementasi Metode Weighted Product Dalam Pengambilan keputusan Penilaian Kinerja Karyawan Puspa, Misrawati Aprilyana; Lasena, Marlin; Husain, Hariati; Sidik, Zainudin
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.991

Abstract

Employees are people involved in the company organization to carry out their duties based on their position or position. The current employee performance appraisal process is still carried out manually so that the element of subjectivity is very high, in addition to the relatively large number of employees making the employee determination time longer and sometimes late. The purpose of this study is to design a Decision Support System for employee performance appraisal at Otanaha Hospital so that the appraisal process and the decisions obtained are appropriate. The method used is the Weighted Product Method because this method is more efficient and the time needed in calculations is shorter and easier. The system is designed with php and html programming. Database used MySql language, with modeling using Unified Modeling Language. The result of this study is that it can make it easier for Otanaha hospital to assess and view employee data information and the results of performance appraisals of honorary employees and civil servants
Optimizing CCTV Damage Diagnosis with Backward Chaining Based Expert System Lasena, Marlin; Rahayu Ningsi Ahmad, Sulistiawati
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.1964

Abstract

The use of CCTV systems in daily life is increasingly widespread, along with the growing need for security and surveillance. However, malfunctions in both hardware and software components of CCTV devices remain a challenge, especially for technicians and non-technical users who lack sufficient expertise. This study aims to develop an expert system using the Backward Chaining method to assist technicians and users in accurately and efficiently diagnosing various types of CCTV malfunctions. The Backward Chaining method is employed due to its ability to trace symptoms back to the root cause using a rule-based logical inference approach. The system is implemented as a mobile application for Android platforms, with a knowledge base constructed from the expertise of CCTV technicians at PT. Smart CCTV Indonesia. The results of the study indicate that the expert system provides significant ease in diagnosing CCTV issues and offers relevant recommendations to both technicians and users. Thus, this system is expected to enhance efficiency in troubleshooting processes and support better decision-making in the management of digital security systems