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INDONESIA
Agromet
Published by Institut Pertanian Bogor
ISSN : 01263633     EISSN : 2655660X     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Agromet publishes original research articles or reviews that have not been published elsewhere. The scope of publication includes agricultural meteorology/climatology (the relationships between a wide range of agriculture and meteorology/climatology aspects). Articles related to meteorology/climatology and environment (pollution and atmospheric conditions) may be selectively accepted for publication. This journal is published twice a year by Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.
Arjuna Subject : -
Articles 289 Documents
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Analysis of Crop Water Requirement for Maize with Planting Hole System under Dry Climate Condition Haruna; Yonny Koesmaryono; Tania June; Budi Kartiwa
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.31-41

Abstract

Crop water requirement is an important factor to increase water use efficiency and avoid crop failure in dryland. A way to increase water use efficiency is by determining an irrigation interval scenario and utilizing a planting hole system. Research on the analysis of water requirement in the planting hole system with an irrigation interval for maize is still limited. Therefore, this study aims to analyze the level of water requirement for maize in dryland. This research was conducted in Camplong Village, Kupang District, East Nusa Tenggara (NTT) from January-May 2020. The design used was a split-plot of various treatments. There were three different techniques of applying fertilizer as the main plot, and two treatments of pruning maize leaves as sub-plots. The different treatments of fertilizer application includes: 1) mixing manure with rice husk charcoal (Ls+As), 2) separating manure from rice husk charcoal (Ls/As), 3) no addition of manure or rice husk charcoal into the planting hole (control). The sub-plots were divided into 2 treatments namely with leaf pruning (P) and without leaf pruning (TP). The water requirement was analyzed based on the FAO 56 approach with the production calculation in weight unit of tiles (ubinan). The results showed that 75% water efficiency was achieved or there was a water saving of 3,119 m3/ha/planting season when compared to conventional techniques. The highest maize productivity (7 tons/ha) was attained in treatment of mixing manure with rice husk charcoal with leaf pruning. The result indicated that this water savings may be used to expand the planting area to 3 ha.
Bogor Water Adequacy Status for 2009-2019 Nita Tarigan; Perdinan; Bambang Dwi Dasanto
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.42-50

Abstract

Water adequacy becomes one of the global concerns as the trend of population growth continues to arise. The condition of water adequacy can be worse in some regions since it also relates to rainfall, which is greatly influenced by global climate change. Here we explore water adequacy at local scale especially in Bogor, Indonesia based on sectoral water demands. The study aims to analysis water adequacy for 2009-2019 based on a climatic water balance. Water supply-demand analysis was performed using water usage index (WUI) in which high WUI corresponds to high critical water balance. Our results showed there was a deceased trend for water supply in Bogor approximately 0.6% per year, whereas an increased trend was observed for water demand (1.7% per year). The main contributor for the increased demand was from domestic water demand by 48%. Generally, water adequacy in Bogor for the period analysis (2009 -2019) is still adequate, but a proper management of water resource will ensure water adequacy in the long run in response to population explosion and climate change.
Land Use Change Impact on Normalized Difference Vegetation Index, Surface Albedo, and Heat Fluxes in Jambi Province: Implications to Rainfall Siti Nadia Nurul Azizah; Tania June; Resti Salmayenti; Ummu Ma'rufah; Yonny Koesmaryono
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.51-59

Abstract

Jambi covers various land uses with different characteristics related to biogeophysical cycle. Land use plays an important role in the atmosphere-surface interaction and energy balance partition, which influenced rainfall pattern. Two proxies widely used to differentiate various land uses are albedo and normalized difference vegetation index (NDVI). However, study on albedo and NDVI relationship with rainfall in Jambi is still limited. This study aims to analyze the correlation of NDVI and albedo with rainfall and their distribution in Jambi and Muaro Jambi in 2013 and 2017. The research used Landsat 8 OLI TIRS satellite image data to derived NDVI and albedo, and CHIRPS data for rainfall. A simple linear regression was used to calculate the correlation of NDVI and albedo with rainfall. The results showed that the distribution of albedo for each land use class from the lowest to the highest was forest, plantation, cropland, shrubs, and settlements, respectively. On the contrary, the distribution of NDVI and rainfall is the inverse to albedo. Albedo and NDVI had a strong influence on rainfall through surface energy balance partition. This was indicated by the high R-square between albedo and rainfall (0.99) and between NDVI and rainfall (0.97). Increasing upward latent heat flux from the land surface to atmosphere leads to a rainfall increase. In other words, rainfall may also increase with the decrease in albedo, increase in NDVI, or land use change.
Optimization of Water Utilization through Identification of Distribution and Types of Water Harvest Infrastructure to Increase Agricultural Production, Study Case in Lampung Province Popi Redjekiningrum; Budi Kartiwa; Misnawati
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.60-69

Abstract

Indonesian government has promoted the acceleration of local reservoirs development in rural areas. This development shall be integrated in agri-cultural areas to increase its production. Therefore, identification of the potential location and the type of water harvesting infrastructure are crucial to support and optimize the reservoir construction. Here, this research aims to identify the potential location distribution and the type of water harvesting infrastructure in Lampung Province. A Geographic Information System analysis was conducted using several base maps and thematic maps to extract each region characteristics, which include land use, rice field location, river network, slope, area status, buffer zone, groundwater basin, and rainfall pattern. In addition, a survey was conducted to identify potential water availability and land area, including flow discharge in each region. The results showed that the most suitable types of water harvesting infrastructure were channel reservoirs, followed by river water utilization and shallow wells. All infrastructures are highly dependent on rainfall. This means that channel reservoirs have the largest potential area for irrigation services, followed by the river water utilization, shallow wells, and small reservoirs (embung), respectively.
Baseflow Index Analysis for Bengawan Solo River, Indonesia Muh Taufik; Siti Annisa'
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.70-78

Abstract

Hydrological investigation for major Java rivers remains research challenge todays, particularly in identification of runoff characteristics situated in monsoonal climate. This study aims to investigate the value of baseflow index for Bengawan Solo river. We employed daily streamflow data for period 1980-2010 to derive baseflow index (BFI) based on the smoothed minima. We utilized different approaches comprising the non-overlapping 3 days (BFI3), 5 days (BFI5), and 7 days (BFI7) of streamflow to compute the index. We found the average BFI3, BFI5, and BFI7 for this study period are 0.67, 0.56, and 0.49, respectively. It revealed that higher number of non-overlapping days would produce lower BFI, which could be an indication of less baseflow contribution to total streamflow. Additionally, our findings show there is an increasing trend of BFI in the last decade that may be associated with decreasing forest cover in the catchment area. Furthermore, the BFI value will provide a valuable information for key leader in water sector in particular during dry season, and further research is needed to integrate this BFI into sustainable water management index.
Identification of Climate Trends and Patterns in South Sumatra Riani Muharomah; Budi Indra Setiawan
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.79-87

Abstract

South Sumatra is one of low-lying provinces in Indonesia with a vast area of peatland that is prone to peat fires and floods. Understanding climate patterns in South Sumatra is very important to anticipate the impacts of extreme weathers. This study identified the climate trends and patterns based on the daily data of temperature, rainfall and evapotranspiration obtained from 1975 to 2021 (46 years). Here, the trend and its significance were detected based on the linear regression and Mann-Kendall test approaches. Characteristics of wet/dry season (start, peak, end) were identified annually based on the 6th polynomial equation using rainfall and evapotranspiration data. The results show an increased trend of annual average temperature (0.04oC per year), rainfall (6.83 mm per year), and evapotranspiration (0.77 mm per year). Other findings reveal that the cyclic season in South Sumatra is wet season (starts from 1±30 to 163±79 Julian day), followed by dry season (from 172±152 to 273±90 Julian day), then wet season (until 244±90 Julian day). The mean excess of annual rainfall was 708 mm (593 mm and 114, respectively, for wet and dry season). Further, we found that South Sumatra experienced extreme dry season (8 times) with the longest in 2019 that lasted for 167 days in a row. As a precaution, extreme wet spells may occur in November-December, and March, whereas extreme dry seasons can be found in July-September each year.
Assessment of Livelihood Vulnerability to Climate Change Using Three Index Methods Divina Umanita Iliyyan; Rizaldi Boer; Rini Hidayati
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.88-100

Abstract

Vulnerability assessment based on composite indices such as Livelihood Vulnerability Index (LVI) or Sistem Informasi Data Indeks Kerentanan (SIDIK) is widely used, and it is practically known as the initial step to determine the adaptation policies for climate change. Various vulnerability assessment methods that have been developed including LVI and SIDIK raise the possibility that different methods can lead to different conclusions. This research aimed to assess whether the results of vulnerability analysis using different methods on the same data offer consistent results. Comparative studies on this topic based on the different indexing methods may also provide a beneficial insight for stakeholders. We tested LVI, LVI-IPCC, and SIDIK methods in Tanah Merah and Lobuk villages in Sumenep Regency, East Java. We collected the primary data based on interviews with households in the field. Climate data (monthly rainfall, maximum, and minimum air temperature) with 0.05o spatial resolution from 2001-2020 was obtained from CHIRPS and TerraClimate. Our results showed that both villages were consistently categorized as vulnerable according to LVI, LVI-IPCC, and SIDIK methods. This result is also consistent at village and household levels. The findings showed difference in the key indicators driving the vulnerability in both villages. The key indicators in Tanah Merah Village were households without waste management, training from government, and no early warning system. In contrast, the key indicators driving the vulnerability for Lobuk were households with small land ownership and households with debt. Further, action recommendations for Tanah Merah are providing waste banks and waste sorting facility, upgrading public capacity through workshops, and adopting social media to share climate-related information. For Lobuk, the recommendations are the determination of regulatory instruments related to space utilization in the coastal area, mapping area affected by climate change, and financial literacy improvement especially promoting savings in the community.
Evaluation of Flood Hazard Potency in Jakarta based on Multi-criteria Analysis RR Mashita Fauzia Hannum; I Putu Santikayasa; Bambang Dwi Dasanto
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.101-111

Abstract

The frequency of flood events in Indonesia has increased since 1990, especially in the capital city of Jakarta. Flood events have affected socio-economic activities, and have threaten community health in flood prone areas. Although many efforts have been performed to reduced flood impacts, research on flood hazard remains a research challenge. This study aims to map level of flood hazard in Jakarta and to determine the most affected factors that cause flood. First, we defined factors that influence flood, and combined an analytical hierarchy process (AHP) to determine their weighted values and GIS approach to determine their score values. The combination of weight and score value determined the flood hazard index (FHI). The sensitivity analysis and validation then were applied to determine the robustness of the approaches. Our results show that the most influenced factors determining flood hazard were rainfall intensity, land use, and slope, whereas geology is the less factor. Based on the sensitivity analysis and FHI validation, our approaches were able to represent 59% flood disaster in Jakarta. The pattern of FHI value was high in north areas and low in south areas. The findings indicated that north areas are more flood prone than south areas. Further, this research contributes to the improved approach of flood mitigation in Jakarta
The Optimum Planting Time and Cropping Pattern of Potatoes and Other Horticultural Commodities based on Water Balance in Solok, Indonesia Via Yulianti; Impron; Aris Pramudia
Agromet Vol. 37 No. 1 (2023): JUNE 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.1.1-11

Abstract

Many mountainous regions in Indonesia have been utilized for potato cultivation. But location for the cultivation is mainly a rainfed agriculture, which greatly depend on the weather condition. Lembah Gumanti in Solok, West Sumatra is a rainfed main potato-growing area, which faced a low productivity during dry season. Therefore, efforts to optimize potato production in rainfed area remains research challenge. This study aims toidentify the optimum cropping calendar for potato and other horticultural commodities in Lembah Gumanti for 2018-2021. We used the water balance approach to derive daily water availability at field level. The approach was used to identify the planting time and pattern of potato and other horticultural commodities for 2018-2023 at dekadal (10-day) interval. The results showed that the most suitable planting time and cropping patternvaried annually. In 2018-2019, the cropping calendar was potato (in October 1st 10-day) – shallots (in April 1st 10-day) – chilies (in July 3rd 10-day). For 2020-2021, the best cropping calendar was shallots (in November 3rd 10-day) – potato (in March 3rd 10-day) – shallots (in August 1st 10-day). The findings reveal that water availability determined the cropping calendar of each commodity.
Statistical Assessment of High-Resolution Climate Model Rainfall Data in the Ciliwung Watershed, Indonesia Widya Ningrum; Rizaldi Boer; Apip
Agromet Vol. 37 No. 1 (2023): JUNE 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.1.21-33

Abstract

The impact of climate change on hydrometeorological hazards pointed out the necessity for information on rainfall data. Using Climate Hazard Group InfraRed Precipitation with Station (CHIRPS) data could solve the problem of the scarcity of observed rainfall data at a finer spatial resolution. This paper examines the performance of high-resolution rainfall climate model data called CORDEX SEA and NEXGDPP in the Ciliwung watershed, Indonesia. We used CHIRPS data as observed data, which was separately divided for calibration (1981-2005) and validation (2006-2020) of the climate models. Totally 14 climate models were used, comprised of 4 CORDEX and 10 NEXGDPP. The models accuracy was assessed based on three statistical indicators: bias, mean absolute percentage error (MAPE), and mean square error (MSE). We determined the best model based on Taylor Diagram. The results showed that the bias value in the dry season was smaller than in the wet and transitional seasons. All models performed well as shown by the low bias values except for the ACCESS1-0 RCP8.5 model. The findings revealed that MRI-CGCM was the best model for calibration, whereas EC-Earth was the best model in the validation period for both RCP4.5 and RCP8.5 scenarios. Further, the choice of climate model may influence water resource management over watershed scale.

Page 26 of 29 | Total Record : 289

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