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All Journal TheJournalish: Social and Government The Journal of Indonesia Sustainable Development Planning (JISDeP) Prosiding Seminar Nasional Official Statistics
Fitriyyah, Nur Retno
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Humanities Computer Science & IT Economics, Econometrics & Finance Energy Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Mapping and Estimating the Impact of Drought on Food Crop Farmers Using Remote Sensing in East Nusa Tenggara Province Latifa, Afina; Primadani, Avelia Deavy; Fitriyyah, Nur Retno; Kartiasih, Fitri
TheJournalish: Social and Government Vol. 4 No. 5 (2023): Special Issue
Publisher : CV The Journal Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55314/tsg.v4i5.619

Abstract

East Nusa Tenggara (NTT) is an area with a dry climate with a rainfall capacity of less than 2,000 mm/year, which is around 72%, so it is classified as a drought-prone area. The characteristics of drought hazards are quite different from those of other disaster hazards because they do not appear suddenly but occur slowly and are easily overlooked. The impact will begin to be felt when agricultural production, for example, food crops, and meeting drinking needs, begins to decrease, leading to a loss of livelihood due to a lack of water supply. Data on drought, especially regarding the area of food crop farming and the number of farmers affected by drought, is still very rare. This study aims to map and classify districts and cities in NTT Province based on the level of drought, estimating the harvest area and production of the food crop agricultural sector affected by the drought and estimating the number of food crop farmers affected by the drought as detected by remote sensing data. This estimate uses the MOD13Q1 remote sensing approach by measuring the Vegetation Health Index (VHI) of land affected by drought. The results of the study show that the most significant impact of the drought occurred in Timur Tengah Selatan district, with the number of affected farmers amounting to 20231 people. The percentage of food crop farmers whose livelihoods have been affected by the drought is quite large in the districts of Malaka, Sumba Barat Daya, Sabu Raijua, Timor Tengah Selatan, and Sumba Barat.
Pemodelan Spasial RTH dan Faktor Ekologi Sosial Ekonomi Terhadap Kriminalitas Kota Medan Tahun 2022 Fitriyyah, Nur Retno; Pramana, Setia
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2240

Abstract

Urban crime is an ecological problem due to the interaction of various ecological, social and economic factors. Factors that are thought to trigger crime rates include the availability of green open space (RTH), extreme poverty, population density, light at night, relative wealth, and the number of security services and worship facilities. The green open space identification process utilizes Sentinel-2 Multi Spectral Instrument Level 2A by measuring the Enhanced Vegetation Index (EVI). Spatial regression analysis with Queen Contiguity weighting was used to see the influence of these factors on crime rates between regions. The Ordinary Least Squares model is better than spatial regression because the data does not show spatial autocorrelation between regions, so Ordinary Least Squares can be used as a simpler model. The number of extreme poor people significantly affects the crime rate in Medan City. Policy implications include increased night light in vulnerable areas, access to green spaces, poverty alleviation, and improved security services to create a safer urban environment.
Green Spaces and Crime: Spatial Modeling of Socio-Economic Influences in Jakarta's Urban Areas, 2022 Fitriyyah, Nur Retno; Pramana , Setia
The Journal of Indonesia Sustainable Development Planning Vol 6 No 1 (2025): April
Publisher : Pusbindiklatren Bappenas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46456/jisdep.v6i1.609

Abstract

Urban crime is a multidimensional issue influenced by environmental, economic, and social interactions. This study investigates factors affecting crime rates in DKI Jakarta, including green open space (RTH), night light intensity (NTL), security services and worship facilities, extreme poverty, relative wealth index (RWI), and population density. Using remote sensing and spectral indices, green open spaces were identified and classified with a random forest model, achieving 95.53% overall accuracy and a kappa coefficient of 94.19%. Spatial regression analysis with Queen Contiguity weights was employed to examine the influence of these factors on crime rates. Results from the Spatial Autoregressive Moving Average (SARMA) model show that green space area, NTL, and extreme poverty significantly impact crime rates. Districts with more green spaces, such as South Jakarta, experienced lower crime rates, while densely populated and impoverished areas, such as North Jakarta, exhibited higher crime rates. The study highlights the importance of ecological factors in crime prevention, emphasizing the integration of green space planning and big data analytics. These findings provide actionable insights for policymakers to develop safer urban environments and support Indonesia’s efforts toward achieving SDG 16 on peace and justice.
Co-Authors Fitri Kartiasih Latifa, Afina Pramana , Setia Pramana, Setia Primadani, Avelia Deavy