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Jurnal Keteknikan Pertanian
Published by Institut Pertanian Bogor
ISSN : 24070475     EISSN : 23388439     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Jurnal Keteknikan Pertanian dengan No. ISSN 2338-8439, pada awalnya bernama Buletin Keteknikan Pertanian, merupakan publikasi resmi Perhimpunan Teknik Pertanian Indonesia (PERTETA) bekerjasama dengan Departemen Teknik Mesin dan Biosistem (TMB) IPB yang terbit pertama kali pada tahun 1984, berkiprah dalam pengembangan ilmu keteknikan untuk pertanian tropika dan lingkungan hayati. Jurnal ini diterbitkan dua kali setahun. Penulis makalah tidak dibatasi pada anggota PERTETA tetapi terbuka bagi masyarakat umum. Lingkup makalah, antara lain: teknik sumberdaya lahan dan air, alat dan mesin budidaya, lingkungan dan bangunan, energi alternatif dan elektrifikasi, ergonomika dan elektronika, teknik pengolahan pangan dan hasil pertanian, manajemen dan sistem informasi. Makalah dikelompokkan dalam invited paper yang menyajikan isu aktual nasional dan internasional, review perkembangan penelitian, atau penerpan ilmu dan teknologi, technical paper hasil penelitian, penerapan, atau diseminasi, serta research methodology berkaitan pengembangan modul, metode, prosedur, program aplikasi, dan lain sebagainya.
Arjuna Subject : -
Articles 623 Documents
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Utilization of Greenhouse Solar Dryer For Curing Process of Sweet Potato Ihsan, Ghazian Satya; Mardjan, Sutrisno Suro; Darmawati, Emmy
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.179-194

Abstract

Ubi jalar (Ipomoea batatas L.) cv Cilembu merupakan komoditas ekspor yang mempunyai nilai ekonomi tinggi., namun sekitar 50% hasil panen ubi Cilembu tidak memenuhi kualitas ekspor. Salah satu penanganan pasca panen yang biasa dilakukan petani adalah proses curing. Suhu dan RH merupakan faktor lingkungan yang sangat berpengaruh dalam proses curing. Tujuan dari penelitian ini adalah untuk mengembangkan metode pengendalian dan melakukan uji kinerja suhu dan RH pada greenhouse solar dryer sesuai dengan kebutuhan proses curing, menganalisis pengaruh suhu, RH dan lama curing terhadap mutu ubi jalar. Penelitian dilakukan secara eksperimental dengan perlakuan yaitu suhu, RH, lama waktu curing dan kontrol (tanpa proses curing). Rancangan percobaan yang digunakan adalah rancangan acak lengkap faktorial dengan tiga faktor yaitu suhu (30°C dan 35°C), RH (80% dan 90%) dan lama curing (3 hari dan 5 hari). Parameter mutu yang diamati adalah kerusakan fisik, warna kulit, tekstur, kadar air dan total padatan terlarut. Hasil penelitian menunjukkan bahwa alat yang dirancang mampu mengatur suhu dan RH sesuai kebutuhan proses curing pada grenhouse solar dryer selama 24 jam. Selama masa penyimpanan, perlakuan dengan proses curing dapat meningkatkan nilai total padatan terlarut jika dibandingkan dengan kontrol. Proses curing dengan perlakuan suhu 30°C (T1), kelembaban 90% (H2) dan 3 hari curing (D3) dapat menjaga mutu ubi jalar selama penyimpanan.
Classification of Arabica Coffee Beans Based on Starters Type with Honey Processing Using Multi-channel Spectral Sensor Romadhon, Akbar; Solahudin, Mohamad; Purwanti, Nanik; Widodo, Slamet
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.302-317

Abstract

Coffee is one of important agricultural commodities in Indonesia, contributing as an income source for farmers and a major export revenue. The specialty coffee industry has begun to utilize microorganisms (starter) in the fermentation process, including the honey process, to obtain a distinctive flavour. However, the use of various starters in this process produces coffee bean with similar color, making it difficult to determine the authenticity of the type of starter used. This research aims to classify arabica coffee beans processed with different types of starters using multi-channel spectral sensor to ensure product quality and authenticity. This research used arabica coffee beans, in the form of green beans, processed with three types of starters, namely Saccharomyces cerevisiae, Lactobacillus sp, and Rhizopus oryzae. Multi-channel spectral sensor was used to acquire the spectra data of coffee sample processed with different starters. The data was then analysed using multivariate analysis based on Partial Least Square – Discriminant Analysis (PLS-DA). In the calibration stage, PLS-DA model built using de-trending pre-treatment was able to predict the type of starter very well, with accuracy, sensitivity, specificity, and precision values, reaching 97%, 95%, 96%, 95%, respectively. This result is also confirmed during validation stage where the built PLS-DA model could predict the type of starter with accuracy, sensitivity, specificity, and precision values, reaching 100%.
The Effectiveness of Zero Energy Cool Chamber in Extending the Shelf Life of Cherry Tomatoes with Packaging Treatment Syahputra, Sufri Yanto; Darmawati, Emmy; Nelwan, Leopold Oscar
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.227-248

Abstract

Cherry tomatoes are of high economic value due to their better nutrition, sweet flavor, and crunchy texture. They are in modern markets due to specific demand and intensive cultivation. Periodic harvesting poses distribution and storage challenges as cherry tomatoes are perishable, leading to price fluctuations and quality deterioration. Temporary storage is required to maintain quality before marketing. Zero Energy Cool Chamber (ZECC) is a low-cost and environmentally friendly cold storage alternative. This study aims to determine the combination of zeolite particle size combined with sand as a cooling medium on the ZECC wall that produces a shelf room temperature according to the temporary storage needs of cherry tomatoes. Cherry tomatoes were stored in retail (250 g) and bulky (1500 g) packaging to assess the effectiveness of the packaging in maintaining quality. Parameters measured included moisture content, texture, color, vitamin C content, and organoleptic. The results showed that chamber 1 (zeolite No. 1 mesh 14-20) was more stable than chamber 2 (zeolite No. 2 mesh 8-16). When loaded, the temperature of chamber 1 ranged from 24.6°C to 27.7°C with RH 94.7% to 95.4%. Retail packaging gave the best results with an organoleptic score of 4.03-4.16 on day 15, higher than the control. The vitamin C content in the retail packaging reached 35.83 mg/100 g, higher than the control (28.94 mg/100 g).
Portable Minapadi Model and Its Performance for Urban Farming Tri Julianto, Baskoro; Setiawan, Budi Indra; Saptomo, Satyanto Krido; Liyantono
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.195-210

Abstract

The conversion of agricultural land to non-agricultural uses has threatened the food supply of urban areas. While there are many unused open spaces in the areas that would have the potential to produce certain foods that are regularly consumed. It is then necessary to introduce cultivation techniques that match the area’s conditions and operable by the people with no, or less experience in farming. This study aims to come up with a portable Minapadi (paddy and fish) culture deemed suitable for urban farming and identify its performance to produce rice as well as fish. The model was tested for one season (99 days) with the main parameters observed being water balances, rice and fish production and revenue. Applying automatic irrigation without using electricity, the irrigation water consumption was 738 mm with an efficiency of 54%. Land and water productivity were 3.62 tons/ha and 0.96 kg/m³, respectively. The fish survival rate was 85% with total production of 3.34 kg and feed efficiency of 2.74. This model earned IDR7,054.94/m³ for rice and IDR36,989.82/m³ for fish with total revenue of IDR44,044.76/m³. These results confirmed that this minapadi model has potential application to support the development of urban agriculture.
Challenges in the Implementation of Internet of Things (IoT) in Irrigation and Fertilizer Management System in Indonesia Saptaji, Kushendarsyah; Tumada, Azahri; Baihaqi Alfakihuddin, Muhamad Lukman; Ayu Wardani, Dilla; Kusuma Dewi, Tiara; Adiati Junaisih, Octarina; Rausyan Fikri, Muhamad; Hendrawan Achmad, Muhammad Sobirin
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.265-283

Abstract

Agriculture is critical to many countries' economies, especially related to gross domestic products (GDP) and employment. However, as a result of industrialization, leading to a problem in fulfilling the expanding global food supply demand. The Internet of Things (IoT) can enhance automatic data transfer in agricultural, improve production, increase quality, improve cost-effectiveness, and reduce environmental impact. However, the obstacles related to IoT application in agriculture have received little discussion especially in the development countries such as Indonesia. This research seeks to fill that gap by investigating the specific issues of adopting the Internet of Things (IoT) in the context of an irrigation and fertilizer management system in Indonesia. To fully study this, a stratified multistage random sampling was conducted to acquire significant insights and data. According to the interview results, respondents voiced worries regarding IoT deployment in agriculture, including, costs implementation (CI), their own knowledge (perceived knowledge (PK)), user experiences with the technology (perceived ease of use (PEU)) and intention of use (IU). The study finds weak CI-IU and PK-IU links but a strong PEU-IU correlation, underscoring the multifaceted factors influencing IoT adoption in agriculture. It is found that the easiness of the use of IoT is the main factors that influence Indonesian farmers to implement the IoT in their farmers. Although the cost of the implementation is an essential factor, easiness to use IoT is the most significant factor. Lastly, researchers, policymakers, and agricultural stakeholders can leverage these insights to advance IoT integration and sustainability in farming practices.
Non-Destructive Prediction of Moisture Content in Cascara Using NIR Spectroscopy with PLS and PCR Alifia Safmi, Nadilla; Fahmy, Khandra; Andasuryani, Andasuryani
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.249-264

Abstract

Coffee cherry pulp is a by-product of coffee processing that has not been optimally utilized. Coffee cherry pulp can be dried to produce a herbal tea product, known as cascara. As an herbal tea product, moisture content is one of the most important quality parameters for assessing the quality of cascara. Therefore, a method is required to measure the moisture content of cascara. One of the methods developed is NIR spectroscopy, which is non-destructive, fast, and does not require chemicals. The purpose of this research is to explore the application of NIR spectroscopy in predicting cascara moisture content using partial least squares (PLS) and principal component regression (PCR) methods and to evaluate the performance of each method in building an optimal calibration model. Pretreatment of the spectrum data was carried out with standard normal variate (SNV), gap-segment 2nd derivative (dg2), and a combination of SNV+dg2. The results showed that the best prediction of cascara moisture content used the PLS calibration technique with dg2 pretreatment and five factors 5. The values obtained were Rc2 = 0.96, RMSEC = 0.87 %, SEC = 0.87 %, Rp2 = 0.90, RMSEP = 1.22 %, SEP = 1.16 %, and RPD = 3.44. Meanwhile, the PCR method produced good predictions using SNV pretreatment, with a factor of 8. The prediction results were Rc2 = 0.89, RMSEC = 1.40 %, Rp2 = 0.90, RMSEP = 1.33 %, and RPD = 3.15. NIR spectroscopy can predict the moisture content of cascara nondestructively and rapidly.
Energi Terbarukan dari Berbagai Varietas Kelapa Sawit di Penajam Paser Utara, Indonesia Usman, Ali; Seminar, Kudang Boro; Nelwan, Leopold Oscar; Sjaf, Sofyan
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.284-301

Abstract

Kelapa sawit berpotensi menjadi sumber energi terbarukan strategis dalam mendukung transisi energi nasional. Penelitian ini bertujuan mengkaji potensi empat varietas sawit (Sain, Lonsum, Dumpy, Marihat) di Kabupaten Penajam Paser Utara untuk biodiesel, minyak konsumsi, dan biomassa. Metode yang digunakan mencakup analisis kadar lemak, komposisi asam lemak, dan skenario pemanfaatan berbasis data produksi TBS dan CPO tahun 2023. Hasil menunjukkan bahwa varietas Lonsum dan Sain cocok untuk biodiesel, sementara Dumpy dan Marihat lebih sesuai untuk minyak konsumsi. Dengan alokasi proporsional dan konversi limbah TBS menjadi briket, diperoleh potensi produksi sebesar ±41.200 ton biodiesel, ±26.159 ton minyak konsumsi, dan ±115.104 ton biomassa padat per tahun. Total potensi energi mencapai ±3,49 juta GJ per tahun. Temuan ini menunjukkan peluang besar pengembangan agroindustri mandiri energi berbasis kelapa sawit di wilayah penyangga IKN.
Performance Comparison of Microclimate Control ANFIS vs Fuzzy Logic in Plant Factory Hanifah, Ahmad Abu; Sumarni, Eni; Pusvyta, Yeny; Ardiansyah
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.340-361

Abstract

Population growth and the reduction of agricultural land necessitate the application of technology to enhance agricultural productivity. A plant factory is an advanced agricultural technology that enables indoor plant production by precisely regulating the microclimate for optimal growth. While fuzzy logic algorithms have been applied for microclimate control, the use of an adaptive neuro-fuzzy inference system (ANFIS) has not been explored. This research aims to develop a microclimate monitoring and control system based on ANFIS and fuzzy logic in a plant factory and compare their performance. The study involves five stages: designing control system schemes, developing hardware and software, testing, analyzing data, and comparing system performance. Microclimate data from both systems were analyzed using the Mean Absolute Error (MAE) metric and visualized through performance graphs. The results indicate that the plant factory with ANFIS control achieved MAE temperature values of 1.18°C and 1.48°C and MAE humidity values of 14.68% and 12.48%, while the fuzzy logic control system yielded MAE temperature values of 1.68°C and 1.60°C and MAE humidity values of 13.02% and 12.31%. Based on the MAE values, the ANFIS control system demonstrated better temperature regulation than fuzzy logic; however, neither system provided optimal microclimate control. These findings highlight the potential of ANFIS for improving temperature regulation in plant factories, suggesting the need for further refinement and optimization of control strategies to enhance overall system performance The research consists of five stages, namely designing ANFIS and fuzzy logic control system schemes, designing hardware, designing software, testing and analyzing data, and comparing the performance of the two control systems. Microclimate data from both control systems were then analyzed to see their performance by looking at the MAE (Mean Absolute Error) value. Analysis is also done by looking at the graph of running results. The results showed that the plant factory with ANFIS control system showed MAE temperature values of 1.18oC and 1.48oC and MAE humidity of 14.68% and 12.48% while the plant factory with fuzzy logic control system showed MAE temperature values of 1.68oC and 1.60oC and MAE humidity of 13.02% and 12.31%. The plant factory with ANFIS control system provides better performance in temperature regulation based on the MAE value obtained but has not provided good performance, either using ANFIS control system or using fuzzy logic control system.
Prediction of Chemical Content in Robusta Coffee Beans Using Near Infrared Spectroscopy and Artificial Neural Network Okasyari, Chorida; Budiastra, I Wayan; Sutrisno
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.318-339

Abstract

Metode cepat untuk prediksi kandungan kimia pada kopi robusta sangat dibutuhkan, sebagai pengganti metode kimia yang memakan waktu dan biaya yang mahal. Penelitian ini bertujuan untuk memprediksi kandungan kimia pada biji kopi robusta Pagar Alam menggunakan Near Infrared Spectroscopy (NIRS) dan kalibrasi melalui Principal Component Analysis-Artificial Neural Network (PCA-ANN). Reflektansi biji kopi diukur menggunakan Spektrometer NIR Flex N500 (1000–2500 nm), kemudian dilakukan penentuan kandungan kimianya menggunakan metode kimia. Data reflektansi diolah menggunakan spectra pre-treatment, kemudian dikalibrasi dan divalidasi dengan kandungan kimia menggunakan PCA-ANN. Model terbaik untuk kadar air diperoleh dengan pra-perlakuan No1SG1 dan 8 PC (r = 0,95; RPD = 2,95; konsistensi = 90,36%). Kadar protein dapat diprediksi menggunakan pra-perlakuan 8 PC dan No1SG1 (r = 0,92; RPD = 2,38; konsistensi = 96,78%). Prediksi lemak yang baik menggunakan pra-perlakuan No1SG1 dan 10 PC (r = 0,93; RPD = 2,19; konsistensi = 80,08%). Kadar abu dapat diprediksi menggunakan pra-perlakuan 8 PC dan SG1 (r = 0,93; RPD = 2,29; konsistensi = 83,78%). Prediksi karbohidrat terbaik diperoleh dengan pra-perlakuan No1SG1 dan 5 PC (r = 0,93; RPD = 2,73; konsistensi = 108,85%). Hasil penelitian menunjukkan bahwa spektroskopi NIR dapat digunakan untuk memprediksi secara akurat kandungan kimia biji kopi robusta Pagar Alam.
Modification of a Rice Cooker into Black Garlic Aging Chamber and Performance Analysis Qudsiyah, Ussy Siti; Qudsiyah, Ussy Siti Qudsiyah; Indrasti, Dias; Muhandri, Tjahja
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.362-374

Abstract

This study aimed to modify a conventional rice cooker into a temperature-controlled aging chamber for black garlic production. The modification involved disabling the automatic switch and replacing the internal sensor with an external DS18B20 sensor, connected to an STC-1000 digital thermostat. The system was designed to maintain consistent heating at three temperature settings: 60 °C, 70 °C, and 80 °C, and enabled real-time temperature monitoring using a thermo recorder. Results showed that the modified rice cooker with only a thermostat had a temperature fluctuation of 10.8 °C. When combined with 4 mm cardboard insulation, the fluctuation decreased significantly to 3.8 °C.  

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