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Journal : Indonesian Journal of Geography

Geographic Information System-Based Spatial Analysis of Agricultural Land Suitability in Yogyakarta Harini Rika; Bowo Susilo; Emilya Nurjani
Indonesian Journal of Geography Vol 47, No 2 (2015): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1381.235 KB) | DOI: 10.22146/ijg.9260

Abstract

Agricultural sector is the main economic activity of the society and also the source of people economy strengthening. The purpose of this study was to determine the priority direction of the development of the agricultural sector, mainly to determine the most appropriate types of commodities for each land unit that serve as local agricultural base. AHP method was integrated with GIS technique to analyze as well as to create land suitability maps for food crops. The results showed that 25.4 percent of lands in Yogyakarta is highly suitable for rice, while only 16 and 2 percent, respectively, is suitable for groundnut and corn. The limiting factors to the land suitability for these three commodities were plant roots condition, nutrients availability, nutrient retention, and soil condition. Suitable lands for rice, groundnut and corn were distributed at Ledok Wonosari, Middle Slope of Merapi, Lower Slope of Merapi and Batur Agung
Participatory implementation within climate change related policies in urbanized area of Indonesia Utia Suarma; Dyah Rahmawati Hizbaron; Sudibyakto Sudibyakto; Emilya Nurjani
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.355 KB) | DOI: 10.22146/ijg.36263

Abstract

Geographically, Indonesia has been subjected towards various climate change related phenomena. This research aim at evaluation of participatory implementation towards climate change related policy which has been set in Indonesia. The research method derived from qualitative framework developed by UNESCO. The research took RAN-API or National Action Plan upon Climate Change Adaptation which has been established since 2013. The document has been integrated within National Medium Term Plan launched at 2015 up to 2019. The research revealed that participation has been inclusive to many stakeholder involved within climate change adaptation program. Furthermore, encouragement needs to be carried out at all level especially in urbanized area. Local to national government has pivotal role to introduce many activities engaged to climate change adaptation. At different array, the research also revealed that many participation has been initiated independently by non-government organization as well as local stakeholder which need to be documented in order to ensure its merits.
Simulation of Daily Rainfall Data using Articulated Weather Generator Model for Seasonal Prediction of ENSO-Affected Zones in Indonesia Andung Bayu Sekaranom; Emilya Nurjani; Rika Harini; Andi Syahid Muttaqin
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50862

Abstract

Synthetic rainfall simulation using weather generator models is commonly used as a substitute at locations with incomplete or short rainfall data. It incorporates a method that can be developed into forecasts of future rainfall. This study was designed to modify a rainfall prediction system based on the principles of weather generator models and to test the validity of the modelling results. It processed the data collected from eight rain stations in zones affected by El-Nino Southern Oscillation (ENSO). A large-scale predictor, that is, SST prediction data in the Nino 3.4 region over the Pacific Ocean was used as the influencing variable in projecting rainfall for the following six months after the predefined dates. Rainfall data from weather stations and SST in 1960-2000 were analyzed to identify the effects of ENSO and build a statistical model based on the regression function. Meanwhile, the model was validated using the data from 2001 to 2007 by backtesting six months in a row. The analysis results showed that the model could simulate both low rainfall in the dry season and high one in the rainy season. Validation by the student's t-test confirmed that the six-month synthetic rain data at nearly all observed stations was homogenous. For this reason, the developed model can be potentially used as one of the season prediction systems.  
Carbon Stock Estimation From Vegetation Biomass Using Spot-7 Imagery Rahmatika, Iklila; Hidayati, Iswari Nur; Suharyadi, R; Nurjani, Emilya
Indonesian Journal of Geography Vol 55, No 3 (2023): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.78690

Abstract

Vegetation absorbs carbon dioxide (CO2 ) emissions during photosynthesis. Covering more areas with trees will increase the CO2 absorption capacity more substantially than other vegetation like bushes, grasses, or rice fields. Trees convert the CO2 captured during photosynthesis into organic carbon to be stored in biomass. Woody trees account for approximately 60% of the total aboveground tree biomass, and trunks, where food reserves produced in photosynthesis are stored, have relatively large biomass compared to other parts of the tree. The biomass of a vegetation stand determines the optimization of air pollutant absorption in urban areas. Yogyakarta City is the center for tourism, education, and cultural activities in Indonesia, which is vulnerable to land-use conversion, a factor of the shrinking green space. This study aimed to estimate carbon stock from vegetation biomass in Yogyakarta City using the remote sensing product SPOT-7 imagery. To calculate the vegetation biomass, the diameter at breast height (DBH) of stands was measured in the field. Then, statistical analyses were performed to determine the correlation and regression between the actual or observed biomass and the Normalized Difference Vegetation Index (NDVI) value derived from the SPOT-7 image. The regression model used was y = 1.4277x – 0.0849. The total biomass produced in Yogyakarta City was estimated at 1,399,487.1 tonnes, which contained 643,764.1 tonnes of carbon stock.