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Kaunia: Integration and Interconnection of Islam and Science Journal
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : 18295266     EISSN : 29622085     DOI : -
Core Subject : Religion, Science, Education,
Religion Biochemistry, Genetics & Molecular Biology Chemistry Mathematics Physics
The aim of KAUNIA journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of Science, Mathematics, Education, Technology, and Religious Perspective Interconnect-Integration. The journal publishes articles, reviews, and research notes whose content and approach are of interest to a wide range of scholars.
Arjuna Subject : Umum - Umum
Articles 3 Documents
 1 
Search results for , issue "Vol. 21 No. 2 (2025)" : 3 Documents clear
Integrasi Teknologi Penginderaan Jauh dan Prinsip Maqashid Syariah dalam Pemantauan Polusi Udara di DKI Jakarta Anandari, Anatansyah Ayomi
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 21 No. 2 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.5295

Abstract

The increasing intensity of air pollution in the DKI Jakarta area has become an urgent environmental issue, with significant impacts on public health and the sustainability of urban ecosystems. This study aims to integrate remote sensing technology and the principles of Maqashid Syariah in monitoring and analyzing air quality, in order to present an approach that is not only technical but also ethical and spiritual in environmental management. This research employs a descriptive qualitative method through a case study design, utilizing spatial data from Sentinel-5P satellite imagery to map the distribution of pollutants such as NO₂ and SO₂, while examining this data through the lens of the five main principles of Maqashid Syariah (hifz al-din, hifz al-nafs, hifz al-‘aql, hifz al-nasl, and hifz al-mal). The findings indicate that the areas with the highest levels of pollution overlap with violations of the core objectives of Islamic law, particularly the protection of life and intellect. This study emphasizes the urgency of integrating science and Islamic values as a conceptual and practical foundation for developing public policies that are ecologically just and spiritually grounded.
Integrasi Sains Terapan dalam Pengembangan Energi Terbarukan: Perspektif Islam pada Teknologi Plant Microbial Fuel Cell (PMFC) Damayanti, Silva; Dwandaru, Wipsar Sunu Brams; Dewi, Imelda Zahra Tungga; Widayanti, Widayanti
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 21 No. 2 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.5438

Abstract

The increasing demand for sustainable energy drives innovations in environmentally friendly renewable energy technologies, one of which is the Plant Microbial Fuel Cell (PMFC), which utilizes the biochemical activity of plants to generate electricity. This study examines the potential of PMFC as an eco-friendly energy solution and its relevance to Islami teachings on environmental conservation and the sustainable use of natural resources. Experimental results show that the PMFC with Aluminium-Copper (Al-Cu) electrodes generates a maximum current of 0,396 mA and a voltage of 0,393 V, while the Aluminium-Zinc (Al-Zn) combination only produces 0,255 mA and 0,222 V. Additionally, wet soil conditions enhance the power output to 0,051 mW. This study demonstrates that PMFC can convert the chemical energy in plants into electricity without harmful emissions, aligning with Islamic principles that emphasize sustainability and the prevention of environmental damage.
Determination of Insurance Premiums Using The Optimal Bonus-Malus System with The Bayesian Method Zahro, Fatichatu; Chasanah, Sri Istiyarti Uswatun; Abdullah, Syarif
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 21 No. 2 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.5462

Abstract

This study develops an optimal bonus–malus premium model within a Bayesian decision-theoretic framework. Claim frequency is modeled using a Poisson distribution, while the number of claims exceeding a predefined critical threshold is modeled conditionally using a Binomial distribution. The Poisson intensity parameter is assigned an Exponential prior distribution, while the Binomial probability parameter follows a Beta prior distribution. The Exponential and Beta distributions are applied to model parameters rather than to observed data, ensuring probabilistic consistency. Since the Exponential distribution is a special case of the Gamma distribution, the Bayesian updating process remains mathematically coherent. To illustrate the model, a dataset of 1,000 simulated motor vehicle policyholders is generated in R under specified distributional assumptions. The results indicate that premiums increase with the number of claims exceeding the critical value and decrease with longer claim-free duration. The proposed framework provides a coherent and flexible approach for premium determination in bonus–malus systems. However, the findings are based on simulated data and specific modeling assumptions, which may limit direct empirical generalization.  

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