Efficiency Analysis Of Jetor Engine Fuel Requirements In Rice Field Plowing Activities In Sigumpar Village

  • Kevin Manullang Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Juli Siagian Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Francis Simbolon Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Joel Sidabutar Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Arnold Hutagalung Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Tambos Sianturi Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Herna Sianipar Universitas HKBP Nommensen Pematangsiantar, Indonesia
Keywords: Fuel, Efficiency, Jetor Engine, Paddy Plowing, Sigumpar Village

Abstract

Land preparation is the most crucial initial step in successful rice cultivation, but it requires significant operational costs, particularly fuel consumption. This study aims to analyze the fuel efficiency and operating capacity of a hand tractor (jetor) on a 7,200 m2 rice field in Sigumpar Village. The research method used was direct field observation, measuring parameters such as working time, cultivated area, and fuel consumption. The results showed that to cultivate 7,200 m2 of land, the jetor required a total operating time of 9 hours and consumed 9.5 liters of diesel fuel. The average specific fuel consumption was 1.32 liters per 1,000 m2, with an Effective Working Capacity (ECC) of 800 m2/hour. The analysis showed a field efficiency level of 80%. The main factors contributing to the 20% efficiency loss were turning time at the edge of the field, overlapping tracks, and clay soil conditions that cause wheel slippage. This study concludes that the use of jetor machines in Sigumpar Village is quite optimal, but efficiency can still be improved through regular plowshare maintenance and more precise track pattern management

Author Biographies

Juli Siagian, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

Francis Simbolon, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

Joel Sidabutar, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

Arnold Hutagalung, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

Tambos Sianturi, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

Herna Sianipar, Universitas HKBP Nommensen Pematangsiantar, Indonesia

Universitas HKBP Nommensen Pematangsiantar, Indonesia

References

Adi, S. (2023). Pengaruh Pola Pengolahan Terhadap Efisiensi Pengolahan Tanah Menggunakan Traktor Tangan.
Agrawal, P. (2021). Artificial Intelligence Applications And Machine Learning. Recent Advances In Computer Science And Communications, 13(6), 1113–1114. Https://Doi.Org/10.2174/266625581306201203092924
Al Mudawi, N., & Alazeb, A. (2022). A Model For Predicting Cervical Cancer Using Machine Learning Algorithms. Sensors, 22(11), 4132. Https://Doi.Org/10.3390/S22114132
Alfidyah, M. (2025). Analisis Efisiensi Produksi Dan Pendapatan Petani Padi Di Era Pertanian Modern. Jurnal Agribisnis Dan Teknologi Pertanian, 1(1), 1–9.
Alyousef, H. S., & Ahmed Alzahrani, A. (2020). A Functional Analysis Of The Thematic Organization In Electrical Engineering Research Article Introductions Written In English By Native And Saudi Scholars: A Comparative Study. Arab World English Journal (Awej) Volume, 11. Https://Dx.Doi.Org/10.2139/Ssrn.3649245
Benis, A., Amador Nelke, S., & Winokur, M. (2021). Training The Next Industrial Engineers And Managers About Industry 4.0: A Case Study About Challenges And Opportunities In The Covid-19 Era. Sensors, 21(9), 2905. Https://Doi.Org/10.3390/S21092905
Choudhury, N., Mukherjee, R., Yadav, R., Liu, Y., & Wang, W. (2024). Can Machine Learning Approaches Predict Green Purchase Intention? A Study From Indian Consumer Perspective. Journal Of Cleaner Production, 456, 142218.
Dailabi, M. M. (2017). Analisis Faktor Perpindahan Tenaga Kerja Dari Sektor Pertanian Ke Sektor Industri (Studi Kasus Kecamatan Gondanglegi Kabupaten Malang). Jurnal Ilmiah Mahasiswa Feb, 5(1).
Fatimah, U., Sukma, A. F., Saputra, A. B. M., & Mahmudi, K. (2024). Analisis Konsep Mekanika Pada Mesin Combine Harvester Dalam Pemrosesan Padi Untuk Peningkatan Efisiensi Dan Kualitas Hasil Panen. Jurnal Agro Indragiri, 9(2), 78–84.
Fikri, K., Purnawan, A., Julianti, R., & Putri, R. E. (2020). Laporan Praktek Kerja Lapangan Kantor Dinas Pertanian Kabupaten Labuhanbatu.
Firmansyah, M. H., Hendrarini, H., & Setiawan, R. F. (2025). Analisis Efisiensi Penggunaan Rice Transplanter Dan Konvensional Pada Usahatani Padi Di Desa Lasem Kecamatan Sidayu Kabupaten Gresik. Jurnal Ilmiah Respati, 16(1), 55–62.
Godson, H. N. (2023). Design Modification And Fabrication Of A Groundnut Roasting And Peeling Machine. Michael Okpara University Of Agriculture.
Hansel, K. C., Tanoto, V. A., Suri, P. A., & Fajar, M. (2024). Comparative Analysis Of Machine Learning Algorithms For Laptop Value Estimation. Procedia Computer Science, 245, 825–833.
Irkham, E. (2023). Analisis Ekonomi Penggunaan Traktor Roda 4 Di Brigade Alat Mesin Pertanian Tegineneng.
Jamaluddin, J., Syam, H., Lestari, N., & Rizal, M. (2019). Alat Dan Mesin Pertanian.
Jaya, G. H., Wiratmoko, A., Hita, M. A., Brillyansyah, D. F., Muna, M. S., Novitasari, D., & Mustofa, A. (2025). Analisis Kebutuhan Alat Dan Mesin Pertanian Padi Di Desa Sokaraja Lor Untuk Mewujudkan Pertanian Mekanis. Journal Of Agricultural And Biosystem Engineering Research, 6(1), 14–21.
Johnson, T., & Joshi, A. (2018). Review Of Vehicle Engine Efficiency And Emissions. Sae International Journal Of Engines, 11(6), 1307–1330.
Karimah, N., Sugandi, W. K., Thoriq, A., & Yusuf, A. (2020). Analisis Efisiensi Kinerja Pada Aktivitas Pengolahan Tanah Sawah Secara Manual Dan Mekanis. Journal Of Tropical Agricultural Engineering And Biosystems-Jurnal Keteknikan Pertanian Tropis Dan Biosistem, 8(1), 1–13.
Khoirul, M. D. M. (2024). Analisis Ekonomi Penggunaan Transplanter Di Brigade Alat Mesin Pertanian Tegineneng.
Kiswanto, K. (2021). Analisa Efisiensi Bahan Bakar Terhadap Motor Bensin Type Gx200 Pada Mesin Penggiling Padi Dan Penepung Kd550 Hm. Diii Teknik Mesin Politeknik Harapan Bersama.
Liliweri, A. (2021). Sistem Ekonomi & Mata Pencaharian: Seri Pengantar Studi Kebudayaan. Nusamedia.
Noer, S. R. (2017). Analisis Efisiensi Produksi Usahatani Padi Ladang Di Kecamatan Sidomulyo Kabupaten Lampung Selatan.
Ostheimer, J., Chowdhury, S., & Iqbal, S. (2021). An Alliance Of Humans And Machines For Machine Learning: Hybrid Intelligent Systems And Their Design Principles. Technology In Society, 66, 101647. Https://Doi.Org/Https://Doi.Org/10.1016/J.Techsoc.2021.101647
Prasetyo, A. D., & N., K. (2022). Meat Griding Machine Design On Meatball Printing Machine Capacity 2 Kg. Seminar Nasional Inovasi Teknologi, 272–279.
Purba, F. H. (2025). Studi Efisiensi Alat Dan Mesin Pertanian Pada Skala Usaha Tani Kecil. Circle Archive, 1(7).
Purwantoro, D. (2021). Analisis Penggunaan Alat Mesin Pertanian Berbasis Traktor Tangan Pada Kegiatan Perawatan Budidaya Tebu. Agritech.
Ramadani, G. N., Wulansari, R., Wicaksono, H., Sudarti, S., & Mahmudi, K. (2025). Analisis Konsep Fisika Pada Teknologi Rotary Dryer Dan Mesin Combine Untuk Hasil Pertanian. Jurnal Ilmiah Wahana Pendidikan, 11(11. A), 75–86.
Saputra, M. T. A. (2018). Unjuk Kerja Mesin Pemotong Padi Tipe Glx 328-Rh Pada Beberapa Rpm Di Lahan Kering.
Setyoningtyas, Y. D., & Darmawati, E. (2022). Evaluasi Keberlanjutan Pemanfaatan Alat Dan Mesin Pertanian Pascapanen Kopi. Journal Of Agricultural Engineering/Jurnal Keteknikan Pertanian, 10(2).
Syarif, S. (2021). Analisis Efisiensi Bahan Bakar Terhadap Motor Bensin Pada Mesin Penggiling Padi Type Cmh 350. Nozzle: Journal Mechanical Engineering, 10(2), 55–58.
Truong, V. T., Nguyen, B. P., Nguyen-Vo, T.-H., Mazur, W., Chung, E. S., Palmer, C., Tretter, J. T., Alsaied, T., Pham, V. T., Do, H. Q., Do, P. T. N., Pham, V. N., Ha, B. N., Chau, H. N., & Le, T. K. (2022). Application Of Machine Learning In Screening For Congenital Heart Diseases Using Fetal Echocardiography. The International Journal Of Cardiovascular Imaging, 38(5), 1007–1015. Https://Doi.Org/10.1007/S10554-022-02566-3
Umeda, Y., Ota, J., Kojima, F., Saito, M., Matsuzawa, H., Sukekawa, T., Takeuchi, A., Makida, K., & Shirafuji, S. (2019). Development Of An Education Program For Digital Manufacturing System Engineers Based On ‘Digital Triplet’ Concept. Procedia Manufacturing, 31, 363–369. Https://Doi.Org/10.1016/J.Promfg.2019.03.057
Venu, H., Subramani, L., & Raju, V. D. (2019). Emission Reduction In A Di Diesel Engine Using Exhaust Gas Recirculation (Egr) Of Palm Biodiesel Blended With Tio2 Nano Additives. Renewable Energy, 140, 245–263. Https://Doi.Org/10.1016/J.Renene.2019.03.078
Winarti, L., Atmaja, U., Husein, F., & Astuti, E. (2025). Ekonomi Pertanian Modern: Integrasi Teknologi Dan Nilai Tambah. Cv Get Press Indonesia.
Published
2026-06-29
How to Cite
Manullang, K., Siagian, J., Simbolon, F., Sidabutar, J., Hutagalung, A., Sianturi, T., & Sianipar, H. (2026). Efficiency Analysis Of Jetor Engine Fuel Requirements In Rice Field Plowing Activities In Sigumpar Village. International Journal of Technology and Education Research, 4(02), 1782-1789. https://doi.org/10.63922/ijeter.v4i02.4752