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All Journal TheJournalish: Social and Government Prosiding Seminar Nasional Official Statistics
Latifa, Afina
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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.
Perbandingan Algoritma dan Pemetaan Total Suspended Solid di Kawasan Pesisir Indonesia Berdasarkan Data Penginderaan Jauh Berbasis Google Earth Engine Latifa, Afina; Marsisno, Waris
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.v2024i1.1999

Abstract

Indonesia's waters are threatened by marine pollution from various sources, which harms marine ecosystems and human health. Total Suspended Solids (TSS) is a key parameter indicating marine pollution. This study aims to identify the MNDWI threshold value for coastal mapping in Indonesia using remote sensing data, compare TSS calculation algorithms to obtain the most accurate TSS estimates, and map TSS concentrations in Indonesia's coastal areas based on the best TSS algorithm. The collected remote sensing data were analyzed using Normalized Mean Absolute Error (NMAE), Root Mean Square Error (RMSE), and mapping techniques. The research mapped Indonesia's coastal areas with a Modified Normalized Difference Water Index (MNDWI) threshold value ≥ 0.06. The Laili algorithm was found to be the most accurate for TSS calculation, with an NMAE of 2.31% and an RMSE of 20.44. Additionally, TSS concentrations in Indonesia's coastal areas were mapped using the Laili, Liu, and Wijaya algorithms.
Co-Authors Fitri Kartiasih Fitriyyah, Nur Retno Marsisno, Waris Primadani, Avelia Deavy