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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Yustin Kurniawan Harefa
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Sistem Informasi Kependudukan Data Masyarakat Kantor Kecamatan Parung Muhammad Ifdal Alfirli; Revih Tri Al Fachrizel; Cuntoko Prastio; Sirilus Daeli; Rohmy Dimyati; Yustin Kurniawan Harefa; Agung Wijoyo
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 06 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In the early era, the use of information technology was felt to be very important for government actors to facilitate work and produce information quickly. The Parung District Office is engaged in recording population data for the community and in that case we feel the importance of using this information technology. In the current system, this sub-district has difficulties in processing or making data recording reports. In overcoming these problems, research has been carried out, namely building a population information system for population data. With the existence of a population data information system, it is hoped that it will facilitate and speed up the Parung sub-district in processing and making reports on community population data.
Penerapan Metode SMART dalam Sistem Pendukung Keputusan Penentuan Kelayakan Pemberian Kredit pada Koperasi Cipta Usaha Mandiri Berbasis Web Yustin Kurniawan Harefa; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This research aims to design and implement a web-based Decision Support System (DSS) capable of assisting in determining credit eligibility more quickly, accurately, and objectively by applying the SMART (Simple Multi-Attribute Rating Technique) method. The SMART method was chosen because it has a simple yet effective calculation process for processing various assessment criteria. The criteria used in this study include income, credit history, collateral, number of dependents, and length of business. The research method used was quantitative, with data collection techniques including observation, interviews, and literature review. The system was developed using the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The results show that the system is capable of automatically calculating and ranking prospective loan recipients based on the weight and value of each criterion. Furthermore, Black Box Testing results indicate that all system functions operate according to established requirements. Therefore, the application of the SMART method in a web-based decision support system can help the Cipta Usaha Mandiri Cooperative improve the effectiveness, efficiency, transparency, and accuracy of its credit decision-making process, thereby minimizing risk assessment errors and the risk of bad debts
Co-Authors Agung Wijoyo Alvino Octaviano Cuntoko Prastio Muhammad Ifdal Alfirli Revih Tri Al Fachrizel Rohmy Dimyati Sirilus Daeli