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All Journal TheJournalish: Social and Government Prosiding Seminar Nasional Official Statistics
Fitriyyah, Nur Retno
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Humanities Computer Science & IT Economics, Econometrics & Finance 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.
Co-Authors Fitri Kartiasih Latifa, Afina Pramana, Setia Primadani, Avelia Deavy