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Radite Praeko Agus Setiawan
Departemen Teknik Mesin Dan Biosistem, Fakultas Teknologi Pertanian, Institut Pertanian Bogor, Jl. Raya Darmaga Kampus IPB Darmaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Environmental Science

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Optimization of Suction Channel System on Vacuum-Type Soybean Seed Metering System Powered by Hand Tractor Setiabudi, Adhiasta Faris; Hermawan, Wawan; Setiawan, Radite Praeko Agus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.391-403

Abstract

A vacuum-type soybean seeder powered by hand tractor for Indonesia’s local soybean has been developed to overcome soybean low productivity. The developed machine still has a weakness in the context of the suction channel system. This research was conducted to optimize the suction channel system efficiency, suction performance for bigger type of seed variety, and suction effect uniformity on all metering device. The research step consisted of seed characteristic measurement for two Indonesia’s common local soybean seed variety (Anjasmoro and Grobogan), suction channel system modification and analysis, and validation based on computational fluid dynamic (CFD). The result in this research are proposed 3-types of optimized model with final selection of 1-type of model, namely Branch model. The values produced by the optimized model compared to existing model respectively 3.393 kPa (CV 0.10%) and 3.112 kPa (CV 1.54%) for negative pressure, 14.39 m/s (CV 4.11%) and 9.08 m/s (3.44%) for suction velocity, as well as 117.342 Pa and 118.147 Pa for total pressure-loss. The required value for Anjasmoro and Grobogan seed variety respectively 3.094 kPa and 3.358 kPa for negative pressure pressure, as well as 10.22 m/s and 10.03 m/s for suction velocity. Hence, the selected optimized model is more efficient, uniform, and can accommodate required negative pressure pressure and suction velocity for both Anjasmoro and Grobogan, while the existing model can only accommodate Anjasmoro. Keywords: CFD, Metering device, Optimization, Pneumatic, Soybean.
GIS-Based Spatial Analysis for Optimizing Spare Parts Distribution of Combine Harvesters in Lampung, Indonesia Nuargimah, Qouamunas Tsani; Setiawan, Radite Praeko Agus; Solahudin, Mohamad
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.642-652

Abstract

Rice harvesting machine in Lampung Province has been commonly used for both personal use and contracting system. This opens up business opportunities for the provision of spare parts and machine repair services, especially during the main harvest season. Determining office locations or business policies in a region requires an analysis of the internal and external factors of the business itself. The analytical method used in this study was Spatial Data Analysis (SDA) to determine the types of strategies and policies that must be carried out by dealers of Kubota brand harvesting machines in Lampung Province. This decision support system is based on the results of spatial data analysis at the sub-district level. The results of spatial data analysis that combines data on paddy field area, slope level, and machine acceptance level show that there are six groups of potential priority areas included the sub-district recommendation for placing part shop and comparing with the existing active dealer part shop. There are six areas group, and dealer has cover 4 of them. Dealer is suggested to add two more-part shop that located in Suoh and Sungkai Utara to cover all areas group that can cover all area within 2 hours by motorbike. Keywords: Combine harvester, spatial analysis, location determination analysis, decision support system
Co-Authors Abdul Azis Adhiasta Faris Setiabudi Agustami Sitorus Agustami Sitorus, Agustami Andreas . Aris Purwanto Armansyah H. Tambunan Armansyah Halomoan Tambunan Azmi Asyidda Mushoffa Bintang Sipartogi Panjaitan Budi Priyonggo Diang Sagita Diang Sagita Furqon I Dewa Made Subrata I Nengah Suastawa Joni Joni Joni Junita Tarigan Jusran Jusran Kiman Siregar Kiman Siregar Kiman Siregar, Kiman Lenny Saulia Linda Lestari Liyantono . Marpaung, Johana Mohamad Solahudin Muhammad Rizal Muhammad Sigit Gunawan Muhammad Zairin Yunior Muqroob Tajalli Nuargimah, Qouamunas Tsani Nugroho, Eko Fajar Obie Farobie Paulus Sukusno Pomalingo, Moh Fikri Prima Sanjaya Raju, Muhammad Rusnadi . Samsul Bahri Sebayang, Renaldi Setiabudi, Adhiasta Faris Setya Permana Setya Permana Sutisna Soeharsono . Syahrial Sabaniah Syaputra, Frandy Mey Tatun Hayatun Nufus Tineke Mandang Ubaidillah . Wawan Hermawan Wawan Hermawan Wawan Hermawan Yazid lzmi lntara