Article Per Year (5 Year)
p-Index From 2019 - 2024
0.817
P-Index
This Author published in this journals
All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Forest and Society Panji Keadilan : Jurnal Ilmiah Nasional Mahasiswa Hukum Jurnal EBONI Prosiding Seminar Nasional Official Statistics
Irlan, Irlan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Prosiding Seminar Nasional Official Statistics

 1 
Efisiensi Survei KSA melalui Metode Gabungan Antara Model Panel Autoregressive Multinomial Logit dan Citra Satelit Sentinel-2 Ardiansyah, Muhlis; Kusumaningrum, Dian; Irlan, Irlan
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1631

Abstract

Statistics Indonesia provides official statistics on rice harvested area for making government policies on food security. One of the problems encountered in collecting data on rice harvest areas is that it requires a high cost. This study aims to reduce ASF survey costs through a combined method of direct observation on odd months and indirect estimation through modeling on even months. We developed a multinomial logit model for panel data by adding the autoregressive effect and Sentinel-2 spectral indices. The research location was in Seruyan Regency, Kalimantan Tengah, with 144 observation points, and was observed for 37 months from December 2018 to December 2021. The results showed that the ASF observation estimation using the developed model was better than the model without Sentinel-2 satellite imagery and the ordinal pattern method. The average accuracy of the developed model was 84.14 percent. The highest level of sensitivity was to estimate the harvest category, fallow phase, and non-agricultural land. Statistics Indonesia can consider this research to reduce the cost of collecting ASF Survey data.
Co-Authors A, Widyanti Utami Anugrah, Dadang Ardiansyah, Muhlis arham, ihsan Azila, Nurul Dian Kusumaningrum Dungga, Novaty Eny Irundu, Daud Irwansyah Irwansyah Mahendra, Yusril Mas'ud, Emban Ibnurusyd Muin, Andi Vika Faradiba rosmaeni, rosmaeni Samsu, Andi Khairil A. Sanjaya, Muhammad Fahyu Sirimorok, Nurhady SYAMSU ALAM Tomasina, Muhammad Agung