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All Journal Jurnal Penelitian dan Pengembangan Agrokompleks Jurnal Agritechno AbdiTechno (Jurnal Pengabdian Masyarakat) Salaga Journal
Daniel Useng
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Salaga Journal

 1 
Investigating the Correlation between Rice Production and RGB Vegetation Index from Drone Imagery and NIR-Based Index from Sentinel Images Hastina, Hastina; Olly Sanny Hutabarat; Daniel Useng
Salaga Journal Volume 01, No. 1, June 2023
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v1i1.1100

Abstract

One of the basic needs, especially for the people of Indonesia, is rice. This causes the demand for rice to increase day by day in accordance with population growth. Therefore, rice production in Indonesia is expected to meet the basic needs of the Indonesian population. Estimating the level of rice production is important to determine the level of food availability in an area. Image data obtained from drones and sentinel images can be analyzed to obtain vegetation indices and used to predict rice production. The purpose of this research is to see the relationship between the RGB vegetation index of drone imagery and the NIR-based index of sentinel imagery with rice production. in this study, a regression analysis was conducted between the vegetation index values ​​obtained from drone imagery and sentinel-2 imagery with rice paddy production then the equation obtained from the regression analysis was used to estimate rice paddy production on the rice fields used as test samples. Correlation analysis was also conducted where this analysis was used to see how strong the relationship is between the vegetation index used and rice production. As for the results obtained, there are three levels of relationship obtained from the results of correlation analysis between several vegetation indices used, namely strong, medium and very strong levels. The TGI vegetation index shows a moderate level of relationship, while the strong level consists of the VARI, ExG, RGBVI and GLI vegetation indices. And at a very strong level shown by the NGRI, NDVI and NDRE vegetation indices. Estimation of rice production can be predicted with the NDRE vegetation index which has the highest determinant value, which is 84.06%. Validation of the NDRE vegetation index shows a result of 55.97%, where more data is under estimate which means the estimation results are smaller than the results obtained in the field.
Effects of Land Cover Change on River Discharge Conditions in the Mamasa Watershed Using the SWAT Model Asrianto; Samsuar; Daniel Useng; Nazif Ichwan; Febriana Intan Permata Hati
Salaga Journal Volume 01, No. 2, December 2023
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v1i2.1356

Abstract

Land cover changes occurring in a watershed will affect the ecosystem in that area. The Soil and Water Assessment Tool (SWAT) model is a tool that can be used to predict the impacts of land use on water, sedimentation, and chemical levels in a watershed. The Mamasa watershed is one of the sub-watersheds of the Saddang watershed, covering approximately 105,253 ha. This study aims to determine the land cover changes in the Mamasa watershed and their impacts on water discharge using the SWAT model. Several steps were undertaken, including image interpretation to obtain an overview of land cover in the years 2011, 2016, and 2020, which were then used to form Hydrology Response Units (HRU). Next, the SWAT model was run, involving delineating the watershed boundaries, defining HRU, integrating climate and HRU data, running SWAT simulations, and performing validation. The results of land cover classification from 2011 to 2016 showed an increase in secondary forest land by 4,896.68 ha (4.65%) and a decrease in shrubland by 9,500.60 ha (9.03%). The land cover classification from 2016 to 2020 indicated a decrease in secondary dry forest land by 6,349.43 ha (6.03%), with an increase in paddy field area by 3,141.92 ha (3%). These land cover changes led to a decreasing trend in water availability, as evidenced by increased discharge fluctuations from 16.50 to 21.65, in accordance with the SWAT simulation results, which increased from 6.73 in 2011 to 9.93 in 2020. The validation results of the SWAT model for the year 2011 showed a Nash-Sutcliffe Efficiency (NSE) value of 0.58 and and R2 value of 0.61. The validation for the year 2016 resulted in an NSE of 0.6 and an R2 of 0.68, while the validation for the year 2020 produced an NSE of 0.6 and an R2 of 0.65. All three validations fall under the satisfactory category, indicating that the SWAT model can be used to simulate the discharge of the Mamasa watershed.
Identifications of Wavelenght, Absorbance and Reflectance of Robusta Coffee During the Postharvest Process Nur Ismi Syarifuddin; Olly Sanny Hutabarat; Daniel Useng; Febriana Intan Permata Hati
Salaga Journal Volume 01, No. 2, December 2023
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v1i2.1367

Abstract

Spectrometer is one of the tools that can produce a spectrum of light with certain wavelengths. A wavelength produced by measurements using a spectrometer will produce absorbance, reflectance and transmittance values. The result of light absorbed by the object is called absorbance, the light reflected by the object is called reflectance, while that which is not absorbed and not reflected by the object is called transmittance.Objective. The purpose of this study are the wavelength, absorbance value, reflectance and its relationship to color in the post-harvest process so that it is expected to be a reference and can provide information about wavelength, absorbance value, reflectance and its relationship to color in the post-harvest process.Methods. Measuring wavelenght, absorbance and reflectanceduring the postharvest process, both before treatment and after treatment. Results. The results obtained are the absorbance value of fresh green coffee of 0.98%, fresh yellow coffee of 0.18% and red coffee of 0.27%. However, after going through the post-harvest process there is a change in the absorbance value where green coffee that has been dried using the yellow honey method has decreased by 0.92% and the black honey method is 0.38% while yellow and red coffee beans have increased at wavelengths ranging from 300-400 nm and 400-500 nm, as well as roasted coffee. While the reflectance value can be seen that fresh green coffee has a reflectance value of 92%, yellow coffee is 89% and red is 69%. However, after going through the post-harvest process where green and yellow coffee that has been dried using the black honey and yellow honey methods has decreased and red coffee beans have increased at wavelengths around 900-1000 nm, as well as roasted coffee, therefore, can be concluded that the post-harvest process causes the absorbance and reflectance values to change at the same wavelength.These findings are expected could provide the information regarding the change of wavelength, absorbance and reflectance during coffee processing.
Co-Authors Abdul Azis Abdul Waris Ahmad Munir Aminuyati Anugrah Feri Hermanto Asrianto Dedianto Pasomba Diyah Yumeina Febriana Intan Permata Hati Gemala Hardinasinta Haerani Hastina, Hastina Husnul Mubarak Intan Febriana Iqbal Iqbal iqbal salim Iqbal Salim Junaedi Muhidong Khaeril Anwar Junaedi Kitab Amelia Mahmud Achmad Mahmud Achmad, Mahmud MUHAMMAD RIZAL Muhammad Tahir Sapsal Mursalim Nazif Ichwan Nugrah Pratiwi Johan Nur Faizah Nur Ismi Syarifuddin Olly Sanny Hutabarat Salengke, Salengke Samsuar Sitti Nur Faridah Suhardi Suhardi Suhardi Usrah Yulia Murti