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PENGARUH QUICK RATIO (QR) TERHADAP RETURN ON EQUITY (ROE)PADA PT.XL AXIATA Tbk. Vina Vina; Kartin Aprianti
Bisnis-Net Vol 4, No 1 (2021)
Publisher : Universitas Dharmawangsa

PENGARUH CASH POSITION, DEBT TO ASSET RATIO DAN FIRM SIZE TERHADAP DIVIDEND PAYOUT RATIO PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018 Vina Vina; Jesslyn Kosasih; Kevin Susanto; Fuji Astuty
Jurnal Akuntansi, Manajemen dan Ekonomi Vol 22 No 3 (2020): Vol. 22, No. 3, 2020
Publisher : Faculty of Economics and Business, Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.jame.2020.22.3.3116

The purpose of this study is to determine and test the effect of Cash Position, Debt to Asset Ratio and firmsize on the Dividend Payout Ratio in Property and Real Estate companies listed on the Indonesia Stock Exchange for the period 2014-2018. This research is a quantitative research and the deductive approach is descriptive. The total population is 52 property & real estate companies on the IDX for the period 2014-2018. The sample technique uses purposive sampling so that the research sample that meets the criteria is as many as 13 companies. The data collection method used secondary data from financial reports, while the data analysis model was multiple regression. The results of the F test, namely Cash Position, Debt to Asset Ratio and Firm Size have an effect on the Dividend Payout Ratio. As individuals, Cash Position has a positive effect on the Dividend Payout Ratio, DAR has no effect on the Dividend Payout Ratio and Firm Size has a negative effect on the Dividend Payout Ratio. The value of determination coefficient as seen from Adjusted R2 is 0.435, which shows that the Dividend Payout Rate can be influenced by Cash Position, Debt to Asset Ratio and Firm Size of 43.5%, and 56.5% are other factors that are not shown in this research report.

PENGARUH CASH POSITION, DEBT TO ASSET RATIO DAN FIRM SIZE TERHADAP DIVIDEND PAYOUT RATIO PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018 Vina Vina; Jesslyn Kosasih; Kevin Susanto; Fuji Astuty
Jurnal Akuntansi, Manajemen dan Ekonomi Vol 22 No 3 (2020): Juli - September 2020
Publisher : Faculty of Economics and Business, Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.jame.2020.22.3.3116

The purpose of this study is to determine and test the effect of Cash Position, Debt to Asset Ratio and firmsize on the Dividend Payout Ratio in Property and Real Estate companies listed on the Indonesia Stock Exchange for the period 2014-2018. This research is a quantitative research and the deductive approach is descriptive. The total population is 52 property & real estate companies on the IDX for the period 2014-2018. The sample technique uses purposive sampling so that the research sample that meets the criteria is as many as 13 companies. The data collection method used secondary data from financial reports, while the data analysis model was multiple regression. The results of the F test, namely Cash Position, Debt to Asset Ratio and Firm Size have an effect on the Dividend Payout Ratio. As individuals, Cash Position has a positive effect on the Dividend Payout Ratio, DAR has no effect on the Dividend Payout Ratio and Firm Size has a negative effect on the Dividend Payout Ratio. The value of determination coefficient as seen from Adjusted R2 is 0.435, which shows that the Dividend Payout Rate can be influenced by Cash Position, Debt to Asset Ratio and Firm Size of 43.5%, and 56.5% are other factors that are not shown in this research report.

Sizka Irdianti Literature Review: Standardization of the Quality of Medicinal Plants and Leaf Extracts Based on Specific and Non-Specific Parameters Sizka Irdianti; Alifah Salsabila; Vina Vina; Syifa Aulia Putri; Yonathan Tri Atmodjo Reubun
Jurnal Ayurveda Medistra Vol 8 No 1 (2026): Jurnal Ayurveda Medistra: Jurnal Ilmiah Kesehatan
Publisher : STIKes Medistra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51690/medistra-jurnal123.v8i1.142

Medicinal plants have long been used by the Indonesian people, passed down through generations, in various forms of traditional preparations. Leaves are one of the most commonly used parts of plants as raw materials for herbal medicines because they are rich in secondary metabolites such as flavonoids, alkaloids, tannins, and saponins. To ensure the quality, safety, and efficacy of traditional medicinal raw materials, a standardization process is required that adheres to the Indonesian Herbal Pharmacopoeia (FHI) and the Indonesian Materia Medica (MMI) through testing of specific and non-specific parameters. This literature review aims to compare and analyze the results of specific and non-specific parameter tests of ten types of crude drug materials and leaf extracts from medicinal plants, namely Kersen leaves (Muntingia calabura L.), Kawau leaves (Millettia sericea), Avocado leaves (Persea americana Mill.), Moringa leaves (Moringa oleifera), Lotus Leaf (Nelumbium nelumbo D.), Senggani Leaf (Melastoma malabathricum L.), Matoa Leaf (Pometia pinnata JR & G.Forst), Bidara Leaf (Ziziphus nummularia), Gatal Leaf (Laportea decumana (Roxb.) Wedd), and Dandang Gendis Leaf (Clinacanthus nutans). A literature search was conducted via the Google Scholar database using the keywords “Leaf Extract,” “Specific,” and “Non-Specific,” with the criterion that journals were published between 2018 and 2025. The review results indicate that most specific parameters—including organoleptic properties, phytochemical screening, and water-soluble and ethanol-soluble extract content—met the established standards. Meanwhile, for non-specific parameters—including moisture content, drying loss, total ash content, acid-insoluble ash content, heavy metal contamination, and microbial contamination—most results met the requirements, although some parameters in certain plants still exceeded the specified limits. This review provides a comprehensive overview of the standard quality ranges for medicinal plants and serves as a reference for the development of standardized herbal medicines in Indonesia.

Analisis Eksploratif Persepsi Risiko dan Regulasi dalam Adopsi AI pada Pelaku Industri Kreatif Batam Winan Kristin Tambunan; Giovanny Engellika; Ivan Rusliyanto; Mulyono Sutanto; Vina Vina
Jurnal Manajemen Bisnis Digital Terkini Vol. 3 No. 2 (2026): April: Jurnal Manajemen Bisnis Digital Terkini
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumbidter.v3i1.1219

The rapid development of generative Artificial Intelligence (AI) technology offers significant efficiency opportunities across various sectors; however, empirical research within the local Indonesian context, particularly in Batam City, remains scarce. This exploratory study aims to analyze the influence of positive perception, negative perception, and AI regulation understanding on technology adoption trends, as well as productivity and product innovation opportunities among creative industry players. The creative industry is a focal point due to the inherent tension between technological efficiency and the preservation of human originality in the creative process. This research employs a quantitative causal approach, utilizing a sample of 30 respondents reached through snowball sampling techniques. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The findings reveal that only positive perception has a significant direct impact on product innovation (p=0.004), while AI regulation and technical adoption do not show significant effects. This suggests that a positive technology mindset is a more decisive factor for innovation than technical mastery or current regulatory compliance. These results underscore the urgent need for local government socialization of AI policies and enhanced digital literacy for Batam's creative practitioners to transform them from mere users into strategic AI-driven innovators.

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