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All Journal U Karst Simposium II UNIID 2017 CANTILEVER Aptekmas : Jurnal Pengabdian Kepada Masyarakat Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil
Sakura Yulia Iryani
Department Of Civil Engineering, Faculty Of Engineering, Sriwijaya University
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Journal : U Karst

 1 
Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera Sakura Yulia Iryani; Febrinasti Alia; Muhammad Abiyyi Tauhid; Ahmad Muhtarom; Arie Putra Usman
U Karst Vol 6, No 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3482

Abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region
Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera Sakura Yulia Iryani; Febrinasti Alia; Muhammad Abiyyi Tauhid; Ahmad Muhtarom; Arie Putra Usman
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3482

Abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region
Design of Irrigation Channel Network Connectivity and Tertiary Channels in Menten Village, Rambutan District South Sumatra to Optimize Agricultural Land Sakura Yulia Iryani; Agus Lestari Yuono; Regina BR Manalu; Reini Silvia Ilmiaty
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i1.4481

Abstract

South Sumatra Province is a province that is flowed by many rivers, including the Musi River, the longest river on the island of Sumatra. The condition of inadequate irrigation infrastructure means that farmers in Menten Village can only plant one crop per year. This study aimed to determine the irrigation water needs of tertiary canals and design the dimensions of connectivity and tertiary channels.  Repairing the irrigation network in the village is planned to increase the productivity of agricultural land to two plantings in one year with a cropping pattern of rice and crops. This research was conducted following the following stages Calculation of Irrigation Water Needs, Calculation of Surface Runoff Discharge, Calculation of Channels Design Discharge, Calculation and determination of the dimensions of Connectivity and Tertiary Irrigation Channels. The study results obtained a Need Field Requirement (NFR) value of 1.572 l/s/ha with a maximum irrigation water requirement of 2.418 l/s.ha. To increase menten agricultural yields, a planting pattern of 2 times is planned. The planned channel is an open trapezoidal channel that functions as a carrier channel and a discharge channel namely rice and crops. There are three connectivity irrigation channels. While there are 25 tertiary irrigation canals. The results of this research can be used reference to improve irrigation systems that are still not optimal.
Co-Authors Agus Lestari Yuono Ahmad Muhtarom Ahmad Muhtarom Alia, Febrinasti Arie Putra Usman Arie Putra Usman Derisqi, Azmi Dewi, Ratna Febrinasti Alia Fuji Amalia Hastuti, Yulia Imroatul C. Juliana Muhammad Abiyyi Tauhid Muhammad Abiyyi Tauhid Muhammad Djoni Bustan Muhtarom, Ahmad Nuzula Ramadhanti Regina BR Manalu Reini Silvia Ilmiaty Santoso, Budi Sri Haryati Taufik Ari Gunawan