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All Journal JURNAL BIOLOGI INDONESIA INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Journal of Smart Agriculture and Environmental Technology
Dodo Gunawan
R&D Center, Agency for Meteorology, Climatology and Geophysics, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Energy Environmental Science Veterinary

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Kajian Hidro-Klimatologi Daerah Cirebon-Indramayu-Majalengka- Kuningan (Ciayu Majakuning) Gunawan, Dodo
JURNAL BIOLOGI INDONESIA Vol 5, No 3 (2009): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1339.787 KB) | DOI: 10.14203/jbi.v5i3.3187

Abstract

ABSTRACTCase Study of Hidro-Climatology at Cirebon-Indramayu, Majalengka-Kuningan (Ciayu Majakuning). Case Study Water balance calculation has beenconducted in the region of Cirebon, Indramayu, Majalengka and Kuningan or abbreviatednicely as the Ciayu-MajaKuning region. The hidro-climatological component such asevapotranspiration and precipitation were calculated using the NOAH Land-Surface Model(LSM). Model output of monthly data used in the calculation span in the period of 2001-2007.The model has grid box or model resolution of 25 km x 25 km. From the calculation, it is obtainedthat the average of evapotranspiration in this region is 3.1 mm/day or 90 m/month. The maximumvalue of 3.8 mm/day is occurred in May whereas the minimum value of 2.8 mm/day is occurredin December. The highest monthly precipitation occurred in the mountain region (Kuningan)of 450-500 mm/month. In this study area, the period of August-November is the water deficitwhile the period of December-July is the water surplus period in term of water balance. Fromdistrict division point of view, Indramayu is the driest area, and gradually following thetopography height, Kuningan district is the wettest area. Implication of these results to watermanagement aspect is that the dry Area such as Indramayu needs more water supplies byirrigation for agriculture. The sustainable of hydrology cycle path way from Kuningan andMajalengka as the water resources because of highly precipitation to the downstream area(Indramayu and Cirebon) where the precipitation are less is very important in this region.Key words: Water balance, evapotranspiration, hydrology cycle, NOAH-Land-Surface Model
KAJIAN HIDRO-KLIMATOLOGI DAERAH CIREBON-INDRAMAYU-MAJALENGKA- KUNINGAN (CIAYU MAJAKUNING) Gunawan, Dodo
JURNAL BIOLOGI INDONESIA Vol 5, No 3 (2009): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jbi.v5i3.3187

Abstract

ABSTRACTCase Study of Hidro-Climatology at Cirebon-Indramayu, Majalengka-Kuningan (Ciayu Majakuning). Case Study Water balance calculation has beenconducted in the region of Cirebon, Indramayu, Majalengka and Kuningan or abbreviatednicely as the Ciayu-MajaKuning region. The hidro-climatological component such asevapotranspiration and precipitation were calculated using the NOAH Land-Surface Model(LSM). Model output of monthly data used in the calculation span in the period of 2001-2007.The model has grid box or model resolution of 25 km x 25 km. From the calculation, it is obtainedthat the average of evapotranspiration in this region is 3.1 mm/day or 90 m/month. The maximumvalue of 3.8 mm/day is occurred in May whereas the minimum value of 2.8 mm/day is occurredin December. The highest monthly precipitation occurred in the mountain region (Kuningan)of 450-500 mm/month. In this study area, the period of August-November is the water deficitwhile the period of December-July is the water surplus period in term of water balance. Fromdistrict division point of view, Indramayu is the driest area, and gradually following thetopography height, Kuningan district is the wettest area. Implication of these results to watermanagement aspect is that the dry Area such as Indramayu needs more water supplies byirrigation for agriculture. The sustainable of hydrology cycle path way from Kuningan andMajalengka as the water resources because of highly precipitation to the downstream area(Indramayu and Cirebon) where the precipitation are less is very important in this region.Key words: Water balance, evapotranspiration, hydrology cycle, NOAH-Land-Surface Model
Assessing Climate-Smart Agriculture Adoption: Enhancing Rice Production Resilience in South Sumatra, Indonesia Wandayantolis; Budianta, Dedik; Yakup; Gunawan, Dodo
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 3 (2024): December 2024, Published, 2024-12-07
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.3.93-99

Abstract

This study investigates the adoption of Climate-Smart Agriculture (CSA) practices among predominantly traditional rice farmers in South Sumatra, Indonesia, and proposes strategies for enhancing resilience to climate variability. A total of 98 farmers across nine districts participated in  structured surveys and in-depth interviews. The results showed a reliance on modern machinery for land preparation (62.8%) alongside a considerable use of traditional tools (26.5%). High awareness of climate change (87.9%) and its impacts, along with a substantial understanding of the negative effects of chemical fertilizers (67.7%), were observed. The use of weather forecasts by 34.7% of respondents highlighted the importance of reliable climate information in agricultural decision-making. Adaptive practices for drier conditions include water management (40%) and crop management methods (25%), while improved drainage (40%) and other flood prevention measures (35%) were commonly adopted for wetter conditions. Despite these efforts, 50% of farmers reported decreased productivity during dry seasons due to the significant impact of irregular rainfall, while approximately 42% managed to increase productivity during wetter conditions through adaptive practices. To enhance CSA adoption, continuous education and awareness programs, promoting energy-efficient machinery and organic farming methods, and improving access to accurate weather forecasts are recommended. The development of resilient crop varieties and the provision of financial and technical support are also essential. Implementing these strategies can facilitate the integration of CSA into the farming system, ensuring a resilient and sustainable agricultural sector in South Sumatra that supports both productivity and environmental preservation, contributing to long-term food security and sustainable development in the region.
APPLICATION OF OPEN AIR MODEL (R PACKAGE) TO ANALYZE AIR POLLUTION DATA Agustine, Intan; Yulinawati, Hernani; Suswantoro, Endro; Gunawan, Dodo
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Volume 1, Number 1, October 2017
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v1i1.2430

Abstract

Air pollution problem is faced by many countries in the world. Ambient air quality studies and monitoring need a long time period of data to cover various atmospheric conditions, which create big data. A tool is needed to make easier and more effective to analyze big data. Aims: This study aims to analyze various application of openair model, which is available in open-source, for analyzing urban air quality data. Methodology and results: Each pollutant and meteorological data were collected through their sampling-analysis methods (active, passive or real-time) from a certain period of time. The data processed and imported in the openair model were presented in comma separated value (csv) format. The input data must consist of date-time, pollutant, and meteorological data. The analysis is done by selecting six functions: theilSen for trend analysis, timeVariation for temporal variations, scatterPlot for linear correlation analysis, timePlot for fluctuation analysis, windRose for wind rose creation, and polarPlot for creating pollution rose. Results from these functions are discussed. Conclusion, significance and impact study: Openair model is capable of analyzing a long time air quality data. Application of openair model is possible to cities in Indonesia that already monitor ambient air quality but have not analyzed the data yet
Co-Authors Agustine, Intan Dedik Budianta Endro Suswantoro, Endro Hernani Yulinawati, Hernani Wandayantolis Yakup