cover
Contact Name
Haerani
Contact Email
haerani@agri.unhas.ac.id
Phone
-
Journal Mail Official
salaga@unhas.ac.id
Editorial Address
Program Studi Teknik Pertanian Universitas Hasanuddin. Alamat : Fakultas Pertanian Universitas Hasanuddin, Kampus Unhas Tamalanrea KM 10 Makassar 90245.
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Salaga Journal
Published by Universitas Hasanuddin
ISSN : -     EISSN : 30322677     DOI : https://doi.org/10.70124/salaga
SALAGA journal is an academic journal for the publication of original articles and reviews in the field of appropriate technology for agriculture production and processing. The aim of this journal is to provide a forum for academia, researchers, and practitioners in discussing, reviewing, analyzing, and reporting research findings related to appropriate technologies in agriculture production and processing. Using tools, equipment, and practices that are well-matched to the regional contexts, resources, and farmer needs is referred to as using appropriate technology in agriculture. It seeks to be reasonably priced, long-lasting, and simple to maintain while enhancing production and livelihoods by taking into account environmental and social factors. Editor in Chief: Haerani ISSN (online): 3032-2677 Frequency: Biannual
Articles 5 Documents
Search results for , issue "Volume 01, No. 2, December 2023" : 5 Documents clear
Use Of Sentinel-2 Image Vegetation Index For Biomass Growth Analysis Of Corn Plants At Various Planting Distances Mayo Elsa, Destriana; Haerani; Ahmad Munir
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.v1i2.1353

Abstract

Biomass growth can affect the increase of corn crop production. Efforts can be made to produce good biomass growth, one of which is by adjusting plant spacing to ensure even distribution of nutrients to plants. Vegetation indices on sentinel-2 satellite imagery could used to observe the growth of corn plant biomass. The purpose of this study was to determine the relationship between sentinel-2 image vegetation index and corn plant growth parameters at a spacing of 70 x 40 cm, 70 x 20 cm and irregular. This research was conducted through several stages, i.e. (1) field data collection of plant height, biomass and leaf area, (2) downloading sentinel-2 image data for the period of December 10, 2022 - February 28, 2023, (3) atmospheric correction and image cropping, (4) transformation of NDVI and EVI vegetation indices and (5) data analysis using simple linear regression analysis to observe the relationship of NDVI and EVI vegetation indices to corn plant growth parameters. The parameters observed were plant height, biomass and leaf area. Based on growth parameters, planting distance of 70 x 40 cm produced good crop growth. Furthermore, growth parameters and vegetation index values of both NDVI and EVI showed a strong correlations at a spacing of 70 x 40 cm. In addition, the transformation map of the two indicices showed that NDVI vegetation index is categorised in the group of medium greenness, while EVI vegetation index is categorised in the group of high greenes. Based on the research results, NDVI and EVI vegetation indices had a strong relationship with the growth parameters of corn plants at a spacing of 70 x 40 cm. In other hand, spacing of 70 x 20 cm and irregular were categorised as moderate. It is found that corn plant growth parameters (plant height, biomass and leaf area) can be monitored using sentinel-2 satellite imagery.
On-Off Water Level Control and IoT Monitoring for Aquaponics Systems Fadil, Muhammad; Ahmad Munir; Muhammad Tahir Sapsal
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.v1i2.1355

Abstract

Aquaponic system is a cultivation method that combines fish and plant farming or aquaculture and hydroponics that are mutually beneficial (symbiotic mutualism) at one time. Aquaponic water level control to maintain water volume is still done using conventional methods. Therefore, this research aims to produce a good control system to control aquaponic water levels equipped with an on/off control system and can monitor water levels remotely. This research method includes designing a control system for water level, functional test and performance test of the control system to aquaponics as well as data loss test and network delay to Thinger.io platform. The parameter observed was the water level. The results showed that the on/off control system was able to regulate the water level with no overshoot, the settling time reached for a height of 20 cm was 9 minutes, a height of 25 cm for 22 minutes and for a height of 30 cm for 34 minutes and the steady state error that occurred was still within the tolerance limit. The IoT system using the Thinger.io platform implemented is able to send data and store data during the testing process, and the Thinger.io platform can monitor water levels remotely and provide data in excel format. The test results of lost data with an average of 1.81% and delay testing with an average of 0.88%, based on data mapped every 6 hours, the largest percentage of lost data and delay occurs at 00.00 -06.00 GMT +8.
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.
Postharvest handling and processing of coffee beans at UKM Akarosta, Tana Toraja Regency Pista; Diyah Yumeina; Ahmad Munir; Gemala Hardinasinta
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.v1i2.1366

Abstract

Postharvest handling and coffee processing must be carried out based on SNI standards to produce good quality and to increase selling value. In Tana Toraja Regency, there are various UKM engaged in the coffee processing industry but not many have analyzed the quality of the coffee produced. The purpose of this research is to know the postharvest handling and processing of coffee bean at UKM Akarosta and compare the proper postharvest handling process of coffee beans based on SNI standards. The results showed that the postharvest method carried out by farmers in Pasang Village, South Makale District, Tana Toraja Regency is a semiwash method which included harvesting, sorting, peeling fruit skins, washing, drying then stripping horn skins, sorting, roasting, grinding and packaging by UKM Akarosta. The postharvest process carried out by farmers has met with SNI. The quality of the coffee beans produced has met the SNI standard quality of coffee beans No. 01-3542-2004.
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.

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