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Sumantri Sumantri
STMIK ROYAL KISARAN
Computer Science & IT Electrical & Electronics Engineering

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Combination of ROC and MFEP Methods in Providing Credit to the Mislina Cooperative Firda Fauzya; Dewi Maharani; Sumantri Sumantri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3464

Abstract

One of the activities of the cooperative is to offer loans to customers and make loans based on several requirements that must be met by applicants who wish to borrow. So far, in determining the provision of cooperative loans to mislina cooperatives, it is considered that they are not careful and selective in providing loans which has an impact on increasing the ratio of loans in arrears. The process of granting loans to mislina cooperatives is still done manually and without doing calculations with special calculation methods that can help do rankings. The research objective was to apply the ROC and MFEP combination methods in designing a decision support system for mislina cooperative loan assessments. The method used is a decision support system using a combination of ROC and MFEP methods. Based on the results of implementing a combination of ROC and MFEP, the results of the system being built can make it easier to determine the provision of pimjama loans to Mislina cooperatives so that they are more effective and efficient. The results of the ROC and MFEP combination tests resulted in a decision that the highest alternative was sayem with a final total value of 2.85.
Analysis of the k-Means Method in Clustering Acceptance of PKH Aid in Pulau Rakyat Tua Village Dwi Kurnia Utami; Novica Irawati; Sumantri Sumantri
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3236

Abstract

The Family Hope Program (PKH) is a program that provides cash assistance to Very Poor Households (RSTM) which are required to fulfill requirements related to efforts to improve the quality of human resources. In selecting residents to be recipients of the Family Hope Program (PKH) in Pulau Rakyat Tua Village, the problem that often arises is that the provision of Family Hope Program assistance is often considered not to be on target. In addition, errors often occur because the selection is still done manually and requires a long time in selecting participants, which can be influenced by the objective assessment of PKH companions. The research objective is to apply the k-means clustering algorithm in selecting prospective beneficiaries of the Family Hope Program (PKH). The method used uses the application of data mining with the k-means clustering algorithm. Based on the results of applying the k-means clustering algorithm, the results of the system being built can make it easier to select potential recipients of Family Program assistance. The results of the k-means clustering algorithm test produced Cluster 1 in the Eligible category totaling 29 PKH beneficiary data and Cluster 2 in the Ineligible category totaling 1 PKH beneficiary data.
Co-Authors Dewi Maharani Dwi Kurnia Utami Firda Fauzya Novica Irawati