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Journal : Asian Journal of Community Services (AJCS)

Optimization of the Technology Sector Stock Portfolio during the Covid-19 Pandemic Using the Markowitz Model Grace Meisel; Marlina Setia Sinaga
Asian Journal of Community Services Vol. 1 No. 4 (2022): October 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajcs.v1i4.1555

Abstract

Stock investment in Indonesia has grown quite rapidly in recent years and has attracted the attention of many people . When investing, analysis is needed to get future profits by minimizing stock risk. One of the ways that can be used to minimize risk is to form an optimal portfolio using the Markowitz model. The technology sector is one of the stock sectors that has progressed because of the high public interest in technology-related matters during the Covid-19 pandemic. In this study , the optimal portfolio is a portfolio containing EMTK with a weight of 63% and TFAS with a weight of 37% which produces an expected return value of 0.007488 ( 0.7488%) and a risk value of 0.035000 (3.5%).
Implementation of Markov Chain on MSME Data for QRIS Users in Medan City Elisabet Desy Yulianawati Hia; Marlina Setia Sinaga
Asian Journal of Community Services Vol. 1 No. 4 (2022): October 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajcs.v1i4.1556

Abstract

QRIS (Quick Response Indonesian Standard) is a non-cash payment system innovation initiated by Bank Indonesia in collaboration with the Indonesian Payment System Association. This is one response to the era of digitalization and industry 4.0. Since January 2020, Bank Indonesia has required ( implemented) QRIS for non-cash payments, especially for micro, small and medium enterprises (SMEs), because it is a sector that contributes to Gross Domestic Product. Therefore, this study is intended to predict the number of SMEs using QRIS in Medan in the future based on the Markov Chain method. The data used is the number of MSMEs that use QRIS as a cashless payment in Medan City from Bank Indonesia North Sumatra in December 2019 to June 2022. The results show that there is a balance in October 2022 with a 52.2% chance percentage with declining conditions; 30.4% with an increasing condition, and 8.7% with a strongly increasing and decreasing condition. This good accuracy is checked with Mean Absolute Percentage Error (MAPE).