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p-Index From 2021 - 2026
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All Journal Agroteknika SRIWIJAYA JOURNAL OF ENVIRONMENT
Amin Rejo
Sriwijaya University
Agriculture, Biological Sciences & Forestry Energy Engineering Environmental Science Mechanical Engineering Public Health

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Application of Image Processing to Determine the Tomato Fruit’s Ripeness Infana Ayu Ladipi; Amin Rejo; Endo Argo Kuncoro
Sriwijaya Journal of Environment Vol 7, No 2 (2022): ENVIRONMENTAL CARE AND PROTECTION
Publisher : Program Pascasarjana Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22135/sje.2022.7.2.80-90

Abstract

This study aims to apply image processing techniques in determining the level of fruit maturity based on color and the relationship of color changes with physical and chemical properties in Servo F1 varieties of tomatoes. This research has been conducted at the Laboratory of Agricultural Product Chemistry, Department of Agricultural Technology, Faculty of Agriculture, Sriwijaya University, Indralaya. This research was conducted from February 2019 until July 2019. This study used a descriptive method. The measured parameters are color, texture, moisture content, total sugar, and total acid. The results showed that the use of image processing methods can help the process of fruit sorting by looking at the relationship between the percentage of red color with the age of picking, the physical and chemical properties of the fruit. The percentage of tomato fruit red color on average ranged from 5.99% for picking age 25+1 days AFB (After the Flowers Bloom), 36.3% for picking age 29+1 days AFB, 67.41% for picking age 32+1 days AFB, and 76.85% for picking age 35+1 days AFB. The coefficient of determination of the relationship between the percentage of red color with the age of picking, texture, water content, total sugar, and total acid was 0.959, 0.908, 0.902, 0.835, and 0.750, respectively.
Comparative Financial Feasibility of Manual and GPS-Integrated Semi-Autonomous Boat Tractor Ownership in Wetland Agroindustry: Evidence from South Sumatra, Indonesia Aditya Alphnaori; Tamaria Panggabean; Amin Rejo
Agroteknika Vol 9 No 3 (2026): TERBITAN AKAN DATANG
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/agroteknika.v9i3.772

Abstract

Boat tractors are essential for wetland mechanization, but their high cost and the added investment for semi-autonomous navigation raise financial viability concerns for smallholders farming less than 2 ha/year. This study compares manual versus GPS-integrated semi-autonomous boat tractor operation in shallow wetland conditions. Field experiments were conducted on a 0.09 ha plot in South Sumatra using an Agropro FS-28E tractor with a puddler. Technical parameters (operation time, field efficiency, fuel consumption) were measured for both modes. Financial analysis used NPV (6% discount rate), IRR, payback period, and ROI over five years under three annual tillage scenarios: 20, 40, and 60 ha/year. Field efficiency was 100% under manual operation compared with 42% under semi-autonomous operation, while fuel consumption was 1.01 L/ha and 2.40 L/ha, respectively. NPV was IDR -14.3 million (manual) and IDR -21.4 million (semi-autonomous). Manual became feasible at a minimum of 23.4 ha/year, semi-autonomous at ≥ 25.2 ha/year. At 60 ha/year, both were feasible, but manual generated higher NPV (IDR 153.6 vs 142.3 million) and shorter payback (1.5 vs 1.6 years). Under subsidized diesel (IDR 6,800/L) and service tariff (IDR 1.2 million/ha), the semi-autonomous system remains less attractive. A custom hiring service model is more suitable for smallholders with land below the break-even threshold.
Co-Authors Aditya Alphanori Aditya Alphnaori Endo Argo Kuncoro Infana Ayu Ladipi Tamaria Panggabean