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Management of irigation systems in padi growthusesin the context of climate change: Panincong Village Case Kec. Marioriawa Kab. Soppeng Zahra Maharani; Saediman, Saediman; Munirwan Zani
International Journal of Technology and Education Research Vol. 2 No. 03 (2024): July - September, International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v2i03.1348

Abstract

This study aims to: (1) determine the impact of climate change on the availability of water for paddy rice farming in Panincong Village, Marioriawa District, Soppeng Regency; (2) determine the perception of farmers related to the management of irrigation systems for paddy rice farming in Panincong Village, Marioriawa District, Soppeng Regency; and (3) determine the perception of farmers related to changes in the management of irrigation systems for paddy rice farming in Panincong Village, Marioriawa District, Soppeng Regency as a result of climate change. This research was conducted from March to July 2024, in Panincong Village, Marioriawa District, Soppeng Regency. The population in this study were owner farmers in Panincong Village who had cultivated rice paddies for at least 15 years, as many as 50 rice paddy farmers. Determination of the sample is done by using a census or saturated sampling technique where all members of the population are used as research samples. Data analysis used is descriptive analysis by combining scoring and qualitative descriptive. The results showed that the impact of climate change on the availability of water for rice paddy farming in Panincong Village includes; water shortages on rice fields, changes in river water discharge and changes in groundwater availability. Farmers' perceptions related to the management of irrigation systems from various aspects are in the medium/good and high/good categories. Farmers' perceptions of irrigation infrastructure are in the high or good category, irrigation water is in the medium or good enough category, irrigation management is in the medium or good enough category, irrigation management institutions are in the high or good category and human resources are in the high or good category. Farmers' perceptions related to changes in the management of irrigation systems in wet-rice farming due to climate change from various aspects are in the category of low / poor and moderate / quite good. Farmers' perceptions of irrigation infrastructure are in the moderate or quite good category, irrigation water is in the low or poor category, irrigation management is in the moderate or quite good category, irrigation management institutions are in the moderate or quite good category and human resources are in the moderate or quite good category.
Small Area Estimation Anak Tidak Sekolah di Pulau Kalimantan Tahun 2023 Luthfio Febri Trihandika; Azka Ubaidillah; Afifah Az-Zahra; Amirudin; Milla Rusydiana; Zahra Maharani
Limits: Journal of Mathematics and Its Applications Vol. 21 No. 2 (2024): Limits: Journal of Mathematics and Its Applications Volume 21 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Equitable and quality education is one of the priority goals, both nationally and internationally, in achieving the Sustainable Development Goals (SDGs). The quality of education in a region can be seen through the indicator of the percentage of out-of-school children aged 7-17 years. Kalimantan Island is one of the regions that has a high number of out-of-school children, higher than the national rate. To overcome this problem, appropriate policies are needed to improve the quality of education. Therefore, the provision of precise, accurate, and precise data is needed. This is especially true in the provision of “small area” data, at least at the district/city level. Although estimation at the kabupaten/kota level has been conducted by BPS, there is still a problem of low precision. One solution that can be applied in estimating is by using Small Area Estimation (SAE). This study aims to estimate the percentage of children aged 7-17 years who are not in school by district/city in Kalimantan Island in 2023. The author compares the estimation using Empirical Best Linear Unbiased Predictor (EBLUP) and Hierarchical Bayes Beta (HB Beta). The results show that the HB Beta estimation is better than the EBLUP estimation. Estimation using EBLUP resulted in two districts/cities with RSEs of more than 25 percent, namely Samarinda and Kutai Kartanegara. Meanwhile, estimation using HB Beta produces better precision with an overall RSE value below 25 percent