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All Journal Scientia Psychiatrica International Journal of Quantitative Research and Modeling Jurnal Agrifoodtech
Zaki Ahmad
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Neuroscience Physics Public Health

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Analisis Penerapan Teknologi Blockchain Pada Pemenuhan Kebutuhan Pangan Dalam Sektor Industri Pertanian Lidya Martina; Siti Khansa; Zaki Ahmad
Jurnal Agrifoodtech Vol. 3 No. 1 (2024): Juni : Jurnal Agrifoodtech
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/agrifoodtech.v3i1.1538

Abstract

Teknologi blockchain menawarkan solusi inovatif untuk meningkatkan transparansi, efisiensi, dan keamanan dalam sektor pertanian. Penelitian ini mengkaji potensi dan tantangan implementasi teknologi blockchain di sektor pertanian melalui meta-analisis sepuluh jurnal. Hasil penelitian menunjukkan bahwa blockchain dapat memfasilitasi pelacakan produk secara real-time, mengurangi penipuan, dan meningkatkan manajemen persediaan. Studi kasus pada rantai pasok produk organik mengungkapkan bahwa blockchain memungkinkan konsumen memverifikasi asal produk, meningkatkan kepercayaan, dan membantu petani mendapatkan harga yang lebih baik. Integrasi blockchain dengan Internet of Things (IoT) dan kecerdasan buatan (AI) juga menunjukkan potensi besar dalam meningkatkan produktivitas dan efisiensi. Namun, tantangan utama seperti kurangnya pengetahuan petani dan biaya implementasi yang tinggi perlu diatasi melalui pelatihan, dukungan teknis, dan kolaborasi antara pemerintah, lembaga pendidikan, dan sektor swasta. Proyek percontohan di beberapa wilayah menunjukkan keberhasilan awal, dan pengembangan lebih lanjut akan meningkatkan adopsi teknologi ini. Kesimpulannya, dengan dukungan yang tepat, blockchain memiliki potensi untuk merevolusi sektor pertanian, meningkatkan kesejahteraan petani, dan menjamin kualitas produk bagi konsumen. Implementasi yang sistematis dan kolaboratif akan memastikan bahwa teknologi ini dapat memberikan manfaat jangka panjang bagi seluruh pemangku kepentingan dalam rantai pasok pertanian.
Quantifying the Boiling Point: A Distributed Lag Non-Linear Analysis of Heatwave Intensity and the 'Thermal Distress' Threshold for Psychiatric Morbidity in an Indonesian Metropolis Taufiq Indera Jayadi; Eva Naritawati; Nurul Hanifah; Maximillian Wilson; Khairiel Anwar; Febria Suryani; Zaki Ahmad
Scientia Psychiatrica Vol. 6 No. 3 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i3.198

Abstract

Introduction: The Indonesian archipelago sits at the forefront of the climate crisis, yet the intersection of heat stress and mental health in this equatorial region remains under-researched. Unlike temperate climates, where heatwaves are sporadic, Indonesian cities face a chronic thermal load exacerbated by the Urban Heat Island effect. Methods: We conducted a retrospective ecological time-series analysis in Jakarta, Indonesia, spanning the period from January 1st, 2014, to December 31st, 2024. Daily psychiatric Emergency Department admissions (Total N = 48,210) were aggregated from three referral hospitals. We utilized a Distributed Lag Non-linear Model combined with a quasi-Poisson regression to correlate admissions with meteorological data from the Indonesian Agency for Meteorology, Climatology, and Geophysics, adjusting for holidays, day of the week, and particulate matter 2.5. Results: The Thermal Distress Threshold was identified at a Wet Bulb Globe Temperature of 29.8°C, reflecting a high degree of physiological acclimatization. Beyond this tipping point, the cumulative Relative Risk for acute psychiatric episodes rose to 1.21 (95% Confidence Interval: 1.14–1.29) at lag 0–3 days. Schizophrenia spectrum disorders showed the highest vulnerability (Relative Risk = 1.26) during the transition season heat spikes. Conclusion: The study establishes a localized thermal threshold for psychiatric emergencies in Indonesia. The findings suggest that high ambient humidity, characteristic of the Indonesian climate, significantly amplifies the psychiatric risk of heat. These results necessitate the integration of psychiatric protocols into the BPJS Kesehatan national health strategy for climate adaptation.
The London Exodus: A Spatial Analysis of Public Health Shocks and Economic Drivers of Internal Migration During the COVID-19 Pandemic Alexander Eko Nugroho; Zaki Ahmad; Muhammad Rizan Ramandika
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1143

Abstract

The COVID-19 pandemic in 2020 triggered a significant urban exodus in major global cities, shifting internal migration patterns in unprecedented ways. This study investigates the determinants of internal net migration across 33 London boroughs to understand the drivers behind this population displacement. Utilizing a spatial econometric framework, the research integrates public health indicators (COVID-19 cases), economic variables (housing prices and GDP), and geographic characteristics (population density and distance to the city center) into an enriched Ordinary Least Squares (OLS) model. The methodology is validated through rigorous diagnostic testing, including Heteroskedasticity-Consistent (HC1) standard errors and spatial autocorrelation checks (Moran's I), confirming that spatial feature engineering sufficiently captures geographic dependencies. The results reveal that the public health shock was the primary driver of the exodus; total COVID-19 cases exhibited a highly significant negative correlation with net migration, indicating that boroughs with higher infection burdens experienced larger population outflows. Population density acted as a secondary push factor, while traditional economic drivers such as housing prices and regional GDP were statistically insignificant. These findings suggest a temporary paradigm shift where immediate health security outweighed economic maximization in residential location decisions during the crisis.
Co-Authors Alexander Eko Nugroho Eva Naritawati Febria Suryani Khairiel Anwar Lidya Martina Maximillian Wilson Muhammad Rizan Ramandika Nurul Hanifah Siti Khansa Taufiq Indera Jayadi