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All Journal INVEST : Jurnal Inovasi Bisnis dan Akuntansi GREENOMIKA
Az-Zahra, Layalia Briliani
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Optimal Portfolio Formation of SRIKEHATI Index Stocks on the Indonesia Stock Exchange (2019-2023 Period) Az-Zahra, Layalia Briliani; Viana, Eka Dasra; Kaewlaead, Chuta
GREENOMIKA Vol. 6 No. 2 (2024): GREENOMIKA
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/unu.gnk.2024.06.2.9

Abstract

The stable economic conditions in Indonesia have had a positive impact, leading to an increase in the number of investors in the Indonesian capital market. One of the key instruments in this market is stocks. The aim of this research is to create an optimal portfolio that can be recommended to investors. The study utilizes the CAPM and Markowitz models and involves the use of secondary data. The research sample selection process makes use of non-probability sampling techniques, specifically purposive sampling. This research focuses on the SRI KEHATI Index for the period from January 2019 to December 2023. Using the CAPM method, 7 efficient stocks have been identified, namely BBCA, BBNI, BBRI, BMRI, JSMR, KLBF, and UNTR. The combination of 7 stocks using the Markowitz model forms two preferences. The first preference generates an allocation proportion with a formula that results in an annual portfolio expected return of 40.55% and an annual portfolio risk of 30.33%. The second preference generates an allocation proportion with a solver that results in an annual portfolio expected return of 46.79% and an annual portfolio risk of 32.91%.
Analysis of Compensation Systems Based on Salary Mapping Adhered and Overlapping Methods in RL SMEs Arindi, Annisa Cahya; Budiman, Febya Noor Adhani; Az-Zahra, Layalia Briliani; Septina, Lia; Fajriah, Niftira; Kartika, Lindawati
INVEST : Jurnal Inovasi Bisnis dan Akuntansi Vol. 4 No. 1 (2023): INVEST : Jurnal Inovasi Bisnis dan Akuntansi
Publisher : Lembaga Riset dan Inovasi Al-Matani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/invest.v4i1.474

Abstract

RL SMEs operates a business in the food & beverage sector. In providing compensation to employees, the salary mapping system of RL SMEs considers ten compensable factors. The ten compensable factors used are education, experience, communication, problem-solving analysis, customer service orientation, planning & coordination, working conditions, freedom of action, physical effort, and impact & influence. Providing compensation to RL SMEs aims to create internal justice and to improve employees performance and productivity. One indicator of the compensation system is ideal, namely when the mid to mid is smaller than the spread. Meanwhile, the compensation system for RL SMEs could be better because there is still a mid to mid value more significant than the spread value, so it is necessary to improve salaries using adhered and overlapping methods. In this study, we collected data by interviewing RL SMEs owners and distributing questionnaires to RL SMEs employees. The researchers conducted this research in Kebayoran Baru, South Jakarta. The results of this study indicate that an effective and efficient method of improving base salary for RL SMEs is the overlapping method because it results in an increase in salary for each grade that is not too far from the actual base salary and a more even distribution of salary.
Optimal Portfolio Formation of SRIKEHATI Index Stocks on the Indonesia Stock Exchange (2019-2023 Period) Az-Zahra, Layalia Briliani; Viana, Eka Dasra; Kaewlaead, Chuta
GREENOMIKA Vol. 6 No. 2 (2024): GREENOMIKA
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/unu.gnk.2024.06.2.9

Abstract

The stable economic conditions in Indonesia have had a positive impact, leading to an increase in the number of investors in the Indonesian capital market. One of the key instruments in this market is stocks. The aim of this research is to create an optimal portfolio that can be recommended to investors. The study utilizes the CAPM and Markowitz models and involves the use of secondary data. The research sample selection process makes use of non-probability sampling techniques, specifically purposive sampling. This research focuses on the SRI KEHATI Index for the period from January 2019 to December 2023. Using the CAPM method, 7 efficient stocks have been identified, namely BBCA, BBNI, BBRI, BMRI, JSMR, KLBF, and UNTR. The combination of 7 stocks using the Markowitz model forms two preferences. The first preference generates an allocation proportion with a formula that results in an annual portfolio expected return of 40.55% and an annual portfolio risk of 30.33%. The second preference generates an allocation proportion with a solver that results in an annual portfolio expected return of 46.79% and an annual portfolio risk of 32.91%.
Co-Authors Arindi, Annisa Cahya Budiman, Febya Noor Adhani Fajriah, Niftira Kaewlaead, Chuta Lindawati Kartika Septina, Lia Viana, Eka Dasra