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All Journal International Journal of Supply Chain Management International Journal of Research in Community Services International Journal of Quantitative Research and Modeling
Nurfadhlina Abdul Halim
Faculty of Science and Technology, Universiti Sains Islam Malaysia, MALAYSIA
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences Transportation Other

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Supply Chain Strategy for Measuring Risk through Capital Allocation: An Application of Incremental and Activity Based Methods Sukono Sukono; Stanley Pandu Dewanto; Dwi Susanti; Candra Budi Wijaya; Nurfadhlina Abdul Halim; Jumadil Saputra
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.115 KB)

Abstract

the insurance company needs a good strategy for ensuring its existence and ability to survive in the insurance world competition with reducing the chance of loss risk. Thus, this paper is written to investigate the capital allocation for measuring risk via a mathematical approach namely Value-at-Risk (VaR) so that insurance companies can find out the magnitude of the worst risks that may occur. The amount of capital allocation analysed using Incremental and Activity-Based Methods. Also, this study uses the simulation data of random numbers obtained from the calculation of premium and claims for insurance programs. The results of the analysis showed that a positive value for the diversification process. It indicates that the insurance company has met its obligations. The total risk of all portfolio returns is IDR19,013,620,433.00. Using the capital allocation analysis, this study found that the Portfolio 1 as much as IDR4,938,935,765.00, Portfolio 2 is IDR4,787,472,037.00, and Portfolio 3 as big as IDR5,544,572,898.00.
Investment Portfolio Optimization with a Mean-Variance Model Without Risk-Free Assets Syifa Nur Rasikhah Daulay; Nurfadhlina Abdul Halim; Rizki Apriva Hidayana
International Journal of Quantitative Research and Modeling Vol 3, No 3 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i3.345

Abstract

Investment is an allocation of money, stocks, mutual funds, or other valuable resources provided by someone at the present time and held from being used until a specified period to get a profit (return). The higher the return received, the higher the risk. This study studied the Mean-Variance investment portfolio optimization model without risk-free assets to obtain the optimum portfolio. Five shares are used, namely BMRI, AMRT, SSMS, MLPT, and ANTM. The research results obtained optimal portfolio stocks with respective weights BMRI = 0.45741; AMRT=0.17852; SSMS=0.23300; MLPT=0.08475 and ANTM=0.04632. An optimal portfolio composition produces an average return = 0.00207 and variance = 0.00020.
Health secrets hidden in guava leaves: Guava tea, a delicious and natural solution to treat diarrhea in children! Sundarapandian Vaidyanatahan; Fahmi Sidiq; Nurfadhlina Abdul Halim
International Journal of Research in Community Services Vol 4, No 4 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v4i4.476

Abstract

This study aims to increase public knowledge about the processing of guava leaves as herbal medicine to treat diarrhea. Prior to counseling and training, the results of the pretest showed that most of the participants (70.5%) had known the utilization and processing of guava leaves as herbal medicine. After attending the training, participants were given a post-test questionnaire to measure the increase in their knowledge.The results showed that there was a significant increase in the participants' knowledge after attending the training. The knowledge percentage increased from 70.5% to 89.0%, representing an increase of 18.5%. This training provides information on how to process guava leaves into herbal medicines that are effective in treating diarrhea.Some of the processing methods taught in the training include making guava leaf tea, guava leaf extract, and decoction of guava leaves. Participants were also given knowledge about the active ingredients in guava leaves, such as quercetin, which has an anti-diarrhea effect.This study showed that the counseling and training program was effective in increasing participants' knowledge about processing guava leaves as a herbal medicine to treat diarrhea. With the knowledge gained, it is hoped that the community can properly process guava leaves and use them effectively in maintaining health and treating diarrhea with simple medication. This program also empowers garden plants in the environment around the village as an easily accessible source of herbal medicines.
Co-Authors Candra Budi Wijaya Dwi Susanti Fahmi Sidiq Jumadil Saputra Rizki Apriva Hidayana Stanley Pandu Dewanto Sukono . Sundarapandian Vaidyanatahan Syifa Nur Rasikhah Daulay