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All Journal Journal of Tropical Soils Geoplanning : Journal of Geomatics and Planning MEDIAN Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Teknologi Pertanian Andalas Jurnal Agritechno Agritechnology : Jurnal Teknologi Pertanian Jurnal Natural Igya ser hanjop: Jurnal Pembangunan Berkelanjutan Rona Teknik Pertanian Jurnal Meteorologi dan Geofisika
Arif Faisol
Universitas Papua
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Immunology & microbiology Mathematics Physics Other

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Estimasi Suhu Udara Di Kabupaten Manokwari Melalui Pemanfaatan Citra Satelit Landsat 8 Mashudi Mashudi; Arif Faisol
Jurnal Meteorologi dan Geofisika Vol. 23 No. 1 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i1.753

Abstract

Air temperature is the main parameter in determining agricultural land. However, most areas in Manokwari do not have air temperature data due to limited meteorological stations. The utilization of Landsat 8 satellite imagery is one of the alternative solutions for providing air temperature data. This study aims to examine the performance of Landsat 8 satellite imagery in estimating air temperature in Manokwari. The air temperature is estimated using the Normalized Difference Vegetation Index (NDVI) approach. Seven (7) statistical parameters i.e mean error (ME), mean absolute error (MAE), root mean square error (RMSE), relative bias (RBIAS), mean bias factor (MBIAS), percent bias (PBIAS), and the Pearson correlation coefficient (r) are used in the test. Besides, a paired T-test was also used to determine the significance of the difference between the estimated and observed data. A total of 33 Landsat 8 satellite imagery recordings from 2015 to 2020 and air temperature data obtained from the climatological station were used. The results showed that the estimated temperature had good accuracy with ME = 0.50 oC, MAE = 2.73 oC, RMSE = 3.45 oC, RBIAS = 0.09, MBIAS = 1.00, and PBIAS = 9,16% compared with climatological data. Besides, the estimated temperature does not have a significant difference to observed data although it has a weak correlation with r = 0.31. Therefore, Landsat 8 satellite imagery can be used as an alternative solution in providing air temperature in Manokwari for supporting agricultural land development.
Analisis dan Proyeksi Kebutuhan Beberapa Komoditas Tanaman Pangan menggunakan Pendekatan Sistem Dinamis untuk Memenuhi Kebutuhan Pangan di Kabupaten Manokwari Arif Faisol; Siti Asfihana Rahmawati; Hostalige Hutasoit
Median : Jurnal Ilmu Ilmu Eksakta Vol. 15 No. 3 (2023): Jurnal Median
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/md.v15i3.2781

Abstract

Food is one of the fundamental requirements that must be fulfilled for everyone. The Food Balance Sheet (FBS) is one of the tools used to describe the food situation of a region. This study aims to analyze and project the requirement of food crops in Manokwari using a dynamic system modeling, i.e. paddy, soybeans, corn, peanuts, green beans, cassava, and sweet potatoes. Generally, this research consists of 4 (four) main stages, i.e. data inventory, data analysis, system dynamic model design, and projection of the requirement of food crops until 2050. The research showed that in 2022 some food crops production is in deficit, i.e. rice, soybeans, and green beans. Furthermore, corn, peanuts, cassava, and sweet potatoes are surplus. One of the solutions to supply food consumption in Manokwari Regency until 2050 is increasing food crop production through the expansion of food cropland and the use of superior varieties. In addition, increasing the Crop Index (CI) of rice plants from 2 times a year to 3 times a year is an alternative solution to increase rice production due to limited agricultural land provided by the government.
Comparison of Several Methods for Analysis Slope Length Index Factor at A Watershed Scale Arif Faisol; Mashudi Mashudi; Samsul Bachri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.817-830

Abstract

Slope length and steepness factor index (LS) is one of the parameters for the Universal Soil Loss Equation (USLE) to estimate soil erosion. Currently, several methods for LS analysis, i.e. Wischmeier-Smith, Moore-Nieber, and Desmet – Govers. This study aims to compare the Wischmeier-Smith method, Moore–Nieber method, and Desmet–Govers method to analyze LS in the watershed in Manokwari – West Papua. This research consists of 4 main stages, i.e. data inventory, watershed boundary delineation, LS analysis, and LS comparison. The research showed that the Wischmeier-Smith method gave a higher LS value than the Moore – Nieber method and the Desmet – Govers method. Meanwhile, the Desmet – Gover method gives a lower average LS value than the Wischmeier-Smith method and the Moore – Nieber method. Based on the T-test, the LS produced by the Wischmeier-Smith, Moore-Nieber, and Desmet–Govers methods has significant differences in analyzing LS in the watershed in Manokwari – West Papua. Keywords: Desmet – Govers, Moore – Nieber, Universal Soil Loss Equation, Watershed, Wischmeier-Smith
Estimation of Surface Water Potential in Manokwari Regency Using Remote Sensing Data Arif Faisol; Bertha Ollin Paga; Mashudi Mashudi; Budiyono Budiyono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1691-1700

Abstract

Water availability is major issue in Manokwari Regency, and information on its surface water potential has not yet been available. This study aimed to estimate the surface water potential in Manokwari using remote sensing data, namely EROS Visible Infrared Imaging Radiometer Suite (eVIIRS) images acquired in August–September 2024 and Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data from 1981–2023. The analysis consisted of three main stages: data inventory, runoff coefficient estimation, and surface water potential calculation using the Melchior method. The results showed that the surface water potential in Manokwari was 2,018.70 m³/s at 99% probability and 4,148.60 m³/s at 80% probability. These values exceed the 2024 water demand, indicating that Manokwari is in a surplus water condition. The findings demonstrate the usefulness of satellite-based rainfall and land cover data for hydrological assessments in areas with limited ground observation stations.
Identifikasi Sebaran Mangrove Melalui Pemanfaatan Citra Satelit Multi Spektral: An Identification of Mangrove Distribution using Multi-Spectral Satellite Imagery Arif faisol; Mashudi Mashudi; Budiyono Budiyono; Risma Situngkir
Jurnal Agritechno Vol. 19 No. 1 (2026): Jurnal Agritechno
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/at.v19i1.1825

Abstract

The Mangroves have been playing a crucial role, mainly serving both as plants and ecosystems. People have utilized mangroves for medicine, food, and other purposes. Remote sensing technology has been widely used for identifying and monitoring mangrove distributions. This study aims to identify mangrove distribution in Teluk Bintuni – West Papua by utilizing multi-spectral satellite imagery, i.e. Sentinel 2A. This research consists of 3 (three) main stages, i.e. data inventory, data analysis, and mapping of mangrove distribution. For this study, three scenes of Sentinel 2A satellite imagery acquired in 2022 were employed. The Mangrove Index was applied to identify the mangrove distribution. The research shows that the total mangrove in Teluk Bintuni is 257,671 Ha. or has decreased by 50 hectares compared to 2021. This decline is due to abrasion and mangrove logging activities driven by industrial purposes.
Co-Authors Atekan Baso Daeng Budiyono Budiyono Darma Darma Elida Novita Hostalige Hutasoit Hostalige Hutasoit indarto indarto Indarto Indarto Mario M. Selano Mashudi Mashudi Paga, Bertha Ollin Risma Situngkir Risma Ulli Situngkir Samsul Bachri Siti Asfihana Rahmawati Siti Asfihana Rahmawati