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Predicting Non-Performing Loan's Risk Level Using KMeans Clustering and K-Nearest Neighbors Muhammad Mizan Siregar; Roslina Roslina; B. Herawan Hayadi
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.55

Abstract

In data mining, clustering is an unsupervised learning technique often used to group data by similarity. Clustering, especially the K-means clustering algorithm, is a feasible tool for expanding a dataset label by increasing the cluster's number according to the label's categories. This research extends the credit loan label data set from two categories (non-performing and performing loans) to four risk levels (high risk, medium risk, low risk, and no risk). The combination of three K-nearest neighbor’s distance metrics, Euclidean, Manhattan, and Chebyshev distance, with four different K values (K = 3, K = 5, K = 7, and K = 9) produced the best model with accuracy, precision, and recall values of 90%, 90.53571%, and 90%, from the model using the Euclidean distance with K = 9
TEXT MINING IN ONLINE TRANSPORTATION USER SENTIMENT ANALYSIS ON SOCIAL MEDIA TWITTER USING THE MULTINOMIAL NAIVE BAYESIAN CLASSIFIER METHOD AND K-NEAREST NEIGHBOOR METHOD Sartika Mandasari; Roslina Roslina; B. Herawan Hayadi
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.56

Abstract

Text mining is the process of detecting information or something new and researching large information. Text mining can also usually perform an analysis of unstructured text. Social media users in Indonesia, which currently almost reach 200 million users, have resulted in a flood of data. This condition makes text mining a solution to extract knowledge from the flood of data [1] . In exploring knowledge, there are various techniques or methods that can be adopted including the Multinomial Naive Bayesian Clasifier and K-Nearest Neighbor methods. Both of these methods have several phases that are able to explore the potential knowledge of a flood of supervised and unsupervised learning data. It is hoped that the combination of these two methods will help analyze public sentiment or perception towards online motorcycle taxi users in Indonesia
Peran Bendahara Pengeluaran Terhadap Kualitas Laporan Keuangan Dinas Pekerjaan Umum Dan Penataan Ruang Kota Sibolga Syahriani Mewanti; Meily Surianti; Roslina
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 7 No. 6 (2025): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v7i6.7959

Abstract

The Expenditure Treasurer contributes to the creation of good governance and accountability as well as timely reporting and quality financial reports. It is best for an expenditure treasurer to have competent human resources, supported by an educational background in accounting, frequent education and training, and has experience in the financial sector. This research aims to determine the role of the expenditure treasurer on the quality of financial reports at the Sibolga City Public Works and Spatial Planning Service, in accordance with the phenomenon where there are still recording errors made by the expenditure treasurer, which affects the financial reports. The method used in this research is descriptive qualitative research, considering that in this research the researcher intends to understand the phenomenon of what the research subjects experience, and the researcher also uses two variables, namely expenditure treasurer with Knowledge and Skill indicators and relevant financial report quality variables, reliable, comparable and understandable. The results of this research show that the role of the treasurer for expenditures at the Public Works and Spatial Planning Service has an important role, although the Knowledge and Skill indicators are not yet optimal for the treasurer of the Sibolga City Public Works and Spatial Planning Service.