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All Journal Specta Journal of Technology Journal of Mathematics, Computation and Statistics (JMATHCOS) Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Santoso, Eka Krisna
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Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Environmental Science Mathematics Social Sciences Other

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Classification of Money Market Mutual Fund Products in Indonesia By Using Mahalanobis Distance and Manhattan Distance Indrawan; Azka, Muhammad; Kamila, Isti; Rauf, Nurul Maqfirah; Santoso, Eka Krisna
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6143

Abstract

This study aims to classify money market fund products listed and supervised by the Financial Services Authority (OJK) with minimal classification error. Mahalanobis distance and Manhattan distance were employed to classify these products. Data was sourced from the Indo Premier Online Technology (IPOT) application. Variables utilized in this research include percentage return, Sharpe ratio, unit growth, and Asset Under Management (AUM) . Additionally, Principal Component Analysis (PCA) was employed to reduce data dimensionality by linearly combining correlated original variables into new variables (principal components). PCA was used to visualize data with more than three dimensions. Based on the principal component analysis, the first two principal components captured 74.43% of the original data information, while the first three principal components captured 98.94%. Classification results using three principal components and standardized data showed the same error rates: 13.33% for Mahalanobis distance and 6.67% for Manhattan distance. For the two principal components, both Mahalanobis and Manhattan distances resulted in an error rate of 13.33%. Therefore, Manhattan distance is the most effective method for classification. Forecasting results indicate that mutual fund A is a good investment choice, while mutual fund B is a poor one. Keywords: Mahalanobis distance; Manhattan distance; Principal Component Analysis
Training on Strategies to Pass CPNS Test for CPNS Applicants Through the Giat Belajar Abadi Platform Santoso, Eka Krisna; Azka, Muhammad; Kamila, Isti; Indrawan; Rauf, Nurul Maqfirah; Bahar, Nur Qadri
Jurnal Pengabdian Masyarakat Inovatif Vol. 2 No. 2 (2024): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v2i2.142

Abstract

The acceptance of Civil Servant Candidates (CPNS) is an opportunity highly anticipated by the community to build a career in the government sector. However, tight competition and complex selection stages are often the main challenges for applicants. Many applicants fail due to a lack of understanding of the selection process, ineffective learning strategies, and minimal information about the success criteria. The partner of this Community Service activity is Giat Belajar Abadi. Giat Belajar Abadi (GBA) is a lifelong learning platform designed to help people improve their skills and expand their knowledge. This platform offers a variety of classes and learning programs related to business, self-development, and more. However, Giat Belajar Abadi has not yet opened a class for training strategies to pass the Civil Servant Candidate (CPNS) test. Therefore, a community service program is needed for Giat Belajar Abadi partners by opening a training class on CPNS test strategies. This class will help CPNS applicants to be better prepared for the selection, both technically and mentally, increasing their chances of success. The purpose of this Community Service activity is to increase understanding of CPNS selection strategies through Giat Belajar Abadi partners. Therefore, the target audience of this activity is CPNS applicants. The outcome of this Community Service program is an increased understanding of CPNS selection strategies. Through this program, it is hoped that the success rate of participants in the CPNS selection will increase, while creating more competent human resources ready to contribute to the government sector. This program also has a long-term impact on improving the quality of CPNS applicants’ preparation in the future.
Training on Strategies to Pass CPNS Test for CPNS Applicants Through the Giat Belajar Abadi Platform Santoso, Eka Krisna; Azka, Muhammad; Kamila, Isti; Indrawan; Rauf, Nurul Maqfirah; Bahar, Nur Qadri
Jurnal Pengabdian Masyarakat Inovatif Vol. 2 No. 2 (2024): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v2i2.142

Abstract

The acceptance of Civil Servant Candidates (CPNS) is an opportunity highly anticipated by the community to build a career in the government sector. However, tight competition and complex selection stages are often the main challenges for applicants. Many applicants fail due to a lack of understanding of the selection process, ineffective learning strategies, and minimal information about the success criteria. The partner of this Community Service activity is Giat Belajar Abadi. Giat Belajar Abadi (GBA) is a lifelong learning platform designed to help people improve their skills and expand their knowledge. This platform offers a variety of classes and learning programs related to business, self-development, and more. However, Giat Belajar Abadi has not yet opened a class for training strategies to pass the Civil Servant Candidate (CPNS) test. Therefore, a community service program is needed for Giat Belajar Abadi partners by opening a training class on CPNS test strategies. This class will help CPNS applicants to be better prepared for the selection, both technically and mentally, increasing their chances of success. The purpose of this Community Service activity is to increase understanding of CPNS selection strategies through Giat Belajar Abadi partners. Therefore, the target audience of this activity is CPNS applicants. The outcome of this Community Service program is an increased understanding of CPNS selection strategies. Through this program, it is hoped that the success rate of participants in the CPNS selection will increase, while creating more competent human resources ready to contribute to the government sector. This program also has a long-term impact on improving the quality of CPNS applicants’ preparation in the future.
Analisis Strategi Hedging Risiko Investasi Menggunakan Kontrak Berjangka Indeks LQ45 Dengan Model OLS Dan DCC-GARCH Syavirah, Auliah Juliana; Santoso, Eka Krisna; Indrawan
SPECTA Journal of Technology Vol. 10 No. 1 (2026): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v10i1.8481426

Abstract

Volatility in the LQ45 Index remains a key concern for investors in Indonesia's capital market, underscoring the need for effective risk management strategies. This study investigates the hedging effectiveness of LQ45 index futures by comparing two estimation methods for hedge ratios: Ordinary Least Squares (OLS) and Dynamic Conditional Correlation-GARCH (DCC-GARCH). Using daily return data from 2021 to 2024, the analysis begins with stationarity testing and model diagnostics to ensure validity. Both models are estimated and evaluated based on their fit and statistical robustness. Hedging effectiveness is assessed by comparing portfolio variances before and after hedging, alongside statistical validation using F-tests and t-tests. Results show that both models offer risk reduction, but the DCC-GARCH model outperforms OLS by providing dynamic hedge ratios that better capture market volatility. The DCC-GARCH approach also satisfies all diagnostic criteria, indicating its statistical reliability and robustness. These findings highlight the relevance of dynamic hedging models in volatile markets and provide empirical support for integrating advanced econometric tools in risk management practices. The study contributes to the underexplored literature on index futures in emerging markets and offers valuable insights for policymakers and practitioners aiming to enhance derivative utilization in Indonesia.
Co-Authors Azka, Muhammad Bahar, Nur Qadri Indrawan Isti Kamila Rauf, Nurul Maqfirah Syavirah, Auliah Juliana