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Contact Name
Andi Mursidi
Contact Email
ij-mds@stkipsingkawang.ac.id
Phone
+6282142072788
Journal Mail Official
ij-mds@stkipsingkawang.ac.id
Editorial Address
STKIP Singkawang, Jalan STKIP - Kelurahan Naram, Singkawang, Kalimantan Barat, INDONESIA, 79251
Location
Kota singkawang,
Kalimantan barat
INDONESIA
International Journal of Multi Discipline Science (IJ-MDS)
Published by STKIP Singkawang
ISSN : -     EISSN : 26151707     DOI : http://dx.doi.org/10.26737/ij-mds
International Journal of Multi Discipline Science (IJ-MDS) is a peer-reviewed scientific open access, with e-ISSN: 2615-1707 published by Institute for Managing and Publishing of Scientific Journals at STKIP Singkawang, Indonesia. IJ-MDS is firstly published in 2018 and periodically published twice per year on February and August. IJ-MDS is available for free (open access) to all readers. IJ-MDS publishes both the research and theoretical study (no longer than 5 years after the draft proposed) in terms of (1) Humanities, Social, Law, and Religious; (2) Social Science and Communication; (3) Natural Sciences, Engineering, Architecture, Design, and Planning; (4) Forma; Sciences, Information Science, and Agriculture; (5) Business and Management; (6) Education; and (7) Health.
Arjuna Subject : Umum - Umum
Articles 122 Documents
System Dynamics-Based Policy Design for Circular Economy: Achieving Sustainability Under SDG 12 Kristianto, Aloysius Hari; Lianto, Lianto; Kismet, Agustinus; Widyanto, Widyanto; Soleh, Ahmad
International Journal of Multi Discipline Science (IJ-MDS) Vol 8, No 2 (2025): Volume 8 Number 2 August 2025
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/ij-mds.v8i2.7102

Abstract

The purpose of this study is to assess the impact of circular economy waste management implementation in Indonesia on environmental quality, public health, and long-term economic growth, as well as to provide policy options based on SDG 12. The System Dynamics technique involved modelling four subsystems: population, waste management, environmental contamination, and public health. Secondary data were gathered from SIPSN, BPS, and relevant literature and analysed using the Causal Loop Diagram (CLD), Stock Flow Diagram (SFD), and Mean Absolute Percentage Error (MAPE) accuracy validation. According to the simulation results, increasing the implementation of the 3R concept (Reduce, Reuse, Recycle) by 20% over 20 years (2011-2030) could reduce managed waste generation by 6.38 million tonnes per year, increase the GDP contribution of the waste management sector by 261.6%, and reduce air (62.04 Mg/L) and water (38.86 Mg/L) pollution. Furthermore, ARI and diarrhoea cases dropped by 74.8%. Model validation yielded a relatively low error rate (MAPE 2.39-14.44%), showing the model's dependability as a policy planning tool. The study's findings emphasise the significance of improving infrastructure (waste bank, MRF), integrating digital technologies, fostering multisector collaboration, and providing continual education. The findings lead to the creation of a system dynamics-based policy model for achieving SDG 12 through an inclusive circular economy strategy.
Financial Ratio Analysis as Determinant of Financial Performance in Plantation Sector Companies Listed on the Indonesia Stock Exchange Prasetyawati, Marisa Eka; Muftia, Dika
International Journal of Multi Discipline Science (IJ-MDS) Vol 8, No 2 (2025): Volume 8 Number 2 August 2025
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/ij-mds.v8i2.8118

Abstract

This study aims to determine the financial performance of plantation sector companies listed on the Indonesia Stock Exchange through financial ratio analysis. This study used a quantitative study with a descriptive approach. The sample consisted of 16 plantation sector companies listed on the Indonesia Stock Exchange with predetermined criteria. The data of this study were the company’s annual report, especially the financial report. The data were analysed using financial ratios, specifically employing net profit margin, current ratio, and debt to equity ratio to assess financial performance. The results showed that several companies achieve and exceed industry standards. This finding suggest if these companies demonstrate good financial performance and exhibit the capability for managing companies’ resources efficiently and effectively.

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