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Journal : Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)

Sistem Pendukung Keputusan Pemberian Kredit Dengan Metode Perbandingan Eksponensial (MPE). (Studi Kasus: KSPPS Aneka Dana Syariah) Muhammad Fadli, Yanuar; Kusumaningrum, Andriani; Widada, Bebas
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

KSPPS Aneka Dana Syariah Surakarta is a business entity or organization owned and operated by its members to fulfill common interests in the field of savings and loans. The main problem in this research is that there is an increase in the number of prospective customers who wish to apply for motorbike loans at KSPPS Aneka Dana Syariah. In the old system that has been running in determining prospective customers based on one capital criterion and ignoring other criteria such as: Character, Capacity, Capital, Collateral and Condition, so that the decision results are not quite right. The purpose of this study is to create a decision support system for selecting prospective customers using the Exponential Comparison Method. This method was chosen because it can carry out a ranking process based on criteria and weights and is able to determine the best alternative. The method in this research is through interviews, observation, and literature study. System design is made with diagrams, Hierarchy Input Process Output, Diagram Arus Data, relationships between tables and database design. The system is created in a program with the PHP programming language. The end result of this application program is a prospective customer report, the overall selection report and the best selection report. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly. The results of testing the system that has been carried out obtained valid results.
Analisis Perubahan Vegetasi Untuk Indentifikasi Wilayah Di Kabupaten Sukoharjo Menggunakan Normalized Difference Vegetation Index Aji Sudrajat, Ilham; Hasbi, Muhammad; Laksito Yuli Saptomo, Wawan; Widada, Bebas; Kusumaningrum, Andriani
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

This study aims to analyze the changes in vegetation density in Sukoharjo Regency over the past five years using the NDVI method. This research was conducted due to the rapid rate of land use change triggered by the rapid population growth from year to year as it is currently, causing a rapid rate of land use change in Sukoharjo Regency. Previous studies have shown that, increasing land-use change without considering green open space will have a very negative impact on the environment in the area. Geographic Information Systems are needed to see the type of vegetation in the research area, the NDVI method is used because this method provides simplicity to be a starting point in analyzing vegetation and is very suitable for use for long-term temporal data comparison. The research findings reveal a substantial change in land use over the past five years, with an increase of 749.28 hectares or 15.24% from the baseline year of 2020 to 2024. The results of this analysis provide important information for the public works and spatial planning department, as it can be used as input in conducting regional spatial planning and environmental management in the future.