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All Journal Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS)
Yovita Vivianty Indriadewi Atmadjaja
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Humanities Economics, Econometrics & Finance Environmental Science Other

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Green Finance and Sustainability Practices in Encouraging Environmentally-Based Tourism Investment in Banyuwangi: Green Finance dan Praktik Keberlanjutan dalam Mendorong Investasi Pariwisata Berbasis Lingkungan di Banyuwangi Yovita Vivianty Indriadewi Atmadjaja; mahfud; Susintowati
Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) Vol 9 No 3 (2025): SANTHET: (JURNAL SEJARAH, PENDIDIKAN DAN HUMANIORA) 
Publisher : Proram studi pendidikan Sejarah Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/santhet.v9i3.5357

Abstract

Green Finance faces challenges in balancing economic growth and environmental preservation. Limited funding, low public understanding, and waste and cultural management are the main obstacles in the development of sustainable tourism. The objective of this research is to analyze the role of Green Finance in the development of sustainable tourism in Banyuwangi, with a focus on the challenges, potential, and strategies to overcome existing obstacles. The research methodology uses a relevant Systematic Literature Review (SLR) approach. Researchers identify relevant literature based on inclusion and exclusion criteria. Data analysis organizes information, looking for patterns or themes. Synthesis of findings illustrates patterns and relationships among different findings. The comprehensive conclusion includes benefits, challenges, and policy recommendations. The results of the Green Finance research support the development of the sustainable tourism sector, maintaining the balance between economic growth and environmental preservation. Sustainable financing encourages environmentally friendly projects, transforms development paradigms, and supports nature conservation. The conclusion of Green Finance supports the development of sustainable tourism by integrating environmental preservation and economic growth. The recommendation of this research is that collaboration between the government, society, and the private sector is necessary to address funding challenges and create adaptive and coordinated policies.
DIFFERENCES IN ABNORMAL RETURNS AND TRADING VOLUME ACTIVITY BEFORE AND AFTER THE ANNOUNCEMENT OF THE 2024 PRESIDENTIAL PAIRS IN COMPANIES REGISTERED ON LQ45 Miftahul Ihsan; Yovita Vivianty Indriadewi Atmadjaja; Ni Made Nadia Suta Pradhani
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 1 (2024): February
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i1.1410

Abstract

The aim of this research is to determine the market reaction to the announcement of the 2024 presidential candidate pair which was studied using abnormal returns and trading volume activity. This research uses an event study approach with a 15 day event window. The research sample was based on purposive sampling of 45 companies included in the LQ-45 Index. From the results of the normality test, it is known that there is normally distributed data and data that not normally distributed, so the hypothesis testing method used is the one sample t-test, the one sample Wilcoxon Signed-Rank test and the Wilcoxon Signed Rank Test. The results show (1) There is a difference in abnormal returns both before and after the announcement of the 2024 presidential candidate pair. (2) There is a significant change in trading volume activity both before and after the announcement of the 2024 presidential candidate pair. (3) There is a significant difference in the average abnormal return between the period before and after the announcement of the 2024 presidential candidate pair. (4) There is a significant difference in the average trading volume activity between the period before and after the announcement of the 2024 presidential candidate pair.
ANALYSIS OF DECISION MAKING INVESTMENT IN SHARES OF NON-BUMN BANKING COMPANIES USING THE CAPITAL ASSET PRICING MODEL (CAPM) METHOD Silvi Madani; Yovita Vivianty Indriadewi Atmadjaja; Endri Purnomo
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 1 (2024): February
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i1.1435

Abstract

A stock investment depends on the potential investor's accuracy in finding and processing information to help make investment decisions and determine how much risk and profit can be obtained in the future. The aim of this research is to analyze stock risks and returns as well as stock investment decisions using the CAPITAL ASSET PRICING MODEL (CAPM) method on shares in the banking sector listed on the Indonesia Stock Exchange in 2020-2022. This research uses a type of descriptive research with a quantitative approach using secondary research data in the form of monthly closing stock prices (Closing Price), monthly Composite Stock Price Index (IHSG) and monthly SBI interest rate (BI Rate). The population in this research are companies in the banking sector listed on the Indonesia Stock Exchange in 2020-2022. The number of samples in this study was 37 shares. The sampling technique in this research used purposive sampling. The data collection method in this research uses the documentation method. The data analysis technique used is the CAPITAL ASSET PRICING MODEL (CAPM) method. The research results show that of the 37 companies sampled, there are twenty-five (25) stocks that are classified as efficient or undervalued because they have an individual rate of return (Ri) that is greater than the expected rate of return. Shares that are classified as efficient are: AGRO, AGRS, ARTO, BABP, BBCA, BBHI, BBKP, BBYB, BGTG, BINA, BJTM, BJBR, BKSW, BMAS, BNBA, BNGA, BNII, BNLI, BRIS, BSIM, BVIC, INPC, PNBS, PNBN, NOBU, then the recommended decision for investors is to buy shares and there are twelve (12) shares which are classified as inefficient or overvalued shares because the individual return (Ri) is smaller than the expected rate of return. Shares that are classified as inefficient are: BBMD, BDMN, BEKS, BTPN, BTPS, DNAR, MAYA, MCOR, SDRA, NISP, MEGA, BACA, so the investment decision recommended to investors is to sell shares.
Co-Authors ENDRI PURNOMO Mahfud Mahfud Miftahul Ihsan Ni Made Nadia Suta Pradhani Silvi Madani Susintowati