Pub Date : 2024-08-08DOI: 10.19028/jtep.012.2.259-271
W. Pamungkas, Jamaludin Jamaludin
Flour quality in the form of physicochemical and sensory properties is an essential parameter that will influence the design, process, and results of the processing of gembili flour derivative products. This study aims to evaluate flour's physical and chemical properties from white-fleshed gembili tubers (Yawal Porei) and purplish-white-fleshed gembili tubers (Thai) and determine consumer preferences for the flour produced. The physical properties of gembili flour were analyzed, including yield, whiteness, and fineness modulus (FM). Meanwhile, the chemical composition of the flour analyzed includes moisture content, carbohydrates, protein, ash content and crude fibre. 35 untrained panellists were used in organoleptic tests to assess consumer preferences. The results show that the two gembili tubers produce flour with different physical and chemical properties. White-fleshed gembili flour has several advantages in terms of physical and chemical properties, namely yield (15.62% ± 0.41), whiteness (79.55 ± 0.98), carbohydrates (82.86% ± 0.21) and crude fibre (5.28% ± 0.61) which has the potential as a rice analogue, noodles, cake, fillers, and cookies. Meanwhile, purplish-white-fleshed gembili flour has a high protein content (5.40% ± 0.16) and ash content (6.75% ± 0.05), which has the potential as a bakery product. The FM of the two types of gembili flour was not much different and has a moisture content that meets the Indonesian National Standard, below 14.5%. The sensory assessment showed that the panellists preferred white-fleshed gembili flour to purplish-white-fleshed gembili flour. The sensory assessment showed that the panellists preferred white-fleshed gembili flour to purplish-white-fleshed gembili flour.
{"title":"Physico-Chemical Properties of Gembili (Dioscorea esculenta L.) Flour from White-fleshed and Purplish-White-fleshed Tubers","authors":"W. Pamungkas, Jamaludin Jamaludin","doi":"10.19028/jtep.012.2.259-271","DOIUrl":"https://doi.org/10.19028/jtep.012.2.259-271","url":null,"abstract":"Flour quality in the form of physicochemical and sensory properties is an essential parameter that will influence the design, process, and results of the processing of gembili flour derivative products. This study aims to evaluate flour's physical and chemical properties from white-fleshed gembili tubers (Yawal Porei) and purplish-white-fleshed gembili tubers (Thai) and determine consumer preferences for the flour produced. The physical properties of gembili flour were analyzed, including yield, whiteness, and fineness modulus (FM). Meanwhile, the chemical composition of the flour analyzed includes moisture content, carbohydrates, protein, ash content and crude fibre. 35 untrained panellists were used in organoleptic tests to assess consumer preferences. The results show that the two gembili tubers produce flour with different physical and chemical properties. White-fleshed gembili flour has several advantages in terms of physical and chemical properties, namely yield (15.62% ± 0.41), whiteness (79.55 ± 0.98), carbohydrates (82.86% ± 0.21) and crude fibre (5.28% ± 0.61) which has the potential as a rice analogue, noodles, cake, fillers, and cookies. Meanwhile, purplish-white-fleshed gembili flour has a high protein content (5.40% ± 0.16) and ash content (6.75% ± 0.05), which has the potential as a bakery product. The FM of the two types of gembili flour was not much different and has a moisture content that meets the Indonesian National Standard, below 14.5%. The sensory assessment showed that the panellists preferred white-fleshed gembili flour to purplish-white-fleshed gembili flour. The sensory assessment showed that the panellists preferred white-fleshed gembili flour to purplish-white-fleshed gembili flour.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"7 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.1-20
Yayan Heryana, Ni putu dian Nitamiwati, Maharani Dewi Solikhah
Peningkatan kadar air dalam proses penyimpanan biodiesel merupakan permasalahan yang harus dicari solusinya. Salah satu solusi yang ditawarkan yaitu melalui penggunaan sistem dewatering biodiesel dengan teknologi vakum termal yang dapat menurunkan kadar air pada biodiesel sehingga sesuai spesifikasi yang ditetapkan. Pada penelitian ini, sistem dewatering biodiesel dengan teknologi vakum termal memiliki komponen utama yaitu tangki evaporator biodiesel. Walaupun penurunan kadar air masih sesuai standar, namun optimasi perlu terus dilakukan agar kadar air pada biodiesel <200 ppm. Penelitian ini bertujuan memperoleh aliran turbulen yang optimal dari tangki evaporator biodiesel yang dilengkapi sparger pipa dengan variasi lubang yang berbeda melalui simulasi CFD. Selain itu, simulasi ini diharapkan dapat memberikan pemahaman mengenai perilaku aliran biodiesel ketika melewati orifice plate dan sparger pipa sehingga diperoleh kondisi operasi yang terbaik. Penelitian meliputi simulasi CFD tangki evaporator biodiesel menggunakan orifice plate dan sparger pipa. Empat model yang diteliti yaitu tangki evaporator biodiesel yang dilengkapi orifice plate, sparger pipa A, sparger pipa B dan sparger pipa C. Berdasarkan hasil simulasi, tangki evaporator biodiesel yang dilengkapi sparger pipa C merupakan yang paling optimal dalam menghasilkan aliran turbulen. Hal tersebut berdasarkan sebaran kecepatan yang ditampilkan pada Re=5000, Re=10000, dan Re=50000. Dengan demikian, tangki evaporator biodiesel dengan pemasangan sparger pipa C berpotensi menurunkan kadar air lebih tinggi dibandingkan dengan pemasangan orifice plate, sparger pipa A dan sparger pipa B.
生物柴油储存过程中水分含量的增加是一个必须解决的问题。提供的解决方案之一是采用热真空技术的生物柴油脱水系统，该系统可降低生物柴油的水分含量，使其达到规定的规格。在这项研究中，采用热真空技术的生物柴油脱水系统有一个主要组成部分，即生物柴油蒸发罐。尽管水分含量的降低仍在标准范围内，但仍需进行优化，以使生物柴油的水分含量小于 200 ppm。 本研究旨在通过 CFD 模拟，获得生物柴油蒸发罐中配备不同孔口变化的管道疏通器的最佳湍流。此外，该模拟有望让人们了解生物柴油通过孔板和管道疏通器时的流动行为，从而获得最佳操作条件。研究包括使用孔板和管道疏通器对生物柴油蒸发罐进行 CFD 模拟。研究了四种模型，即配备孔板、管道疏通器 A、管道疏通器 B 和管道疏通器 C 的生物柴油蒸发罐。这是基于 Re=5000、Re=10000 和 Re=50000 时显示的速度分布。因此，与孔板、A 管道疏通器和 B 管道疏通器相比，安装了 C 管道疏通器的生物柴油蒸发罐有可能以更高的速度降低含水量。
{"title":"Optimasi Aliran Turbulen pada Tangki Evaporator dengan Computational Fluid Dynamics","authors":"Yayan Heryana, Ni putu dian Nitamiwati, Maharani Dewi Solikhah","doi":"10.19028/jtep.012.1.1-20","DOIUrl":"https://doi.org/10.19028/jtep.012.1.1-20","url":null,"abstract":"Peningkatan kadar air dalam proses penyimpanan biodiesel merupakan permasalahan yang harus dicari solusinya. Salah satu solusi yang ditawarkan yaitu melalui penggunaan sistem dewatering biodiesel dengan teknologi vakum termal yang dapat menurunkan kadar air pada biodiesel sehingga sesuai spesifikasi yang ditetapkan. Pada penelitian ini, sistem dewatering biodiesel dengan teknologi vakum termal memiliki komponen utama yaitu tangki evaporator biodiesel. Walaupun penurunan kadar air masih sesuai standar, namun optimasi perlu terus dilakukan agar kadar air pada biodiesel <200 ppm. Penelitian ini bertujuan memperoleh aliran turbulen yang optimal dari tangki evaporator biodiesel yang dilengkapi sparger pipa dengan variasi lubang yang berbeda melalui simulasi CFD. Selain itu, simulasi ini diharapkan dapat memberikan pemahaman mengenai perilaku aliran biodiesel ketika melewati orifice plate dan sparger pipa sehingga diperoleh kondisi operasi yang terbaik. Penelitian meliputi simulasi CFD tangki evaporator biodiesel menggunakan orifice plate dan sparger pipa. Empat model yang diteliti yaitu tangki evaporator biodiesel yang dilengkapi orifice plate, sparger pipa A, sparger pipa B dan sparger pipa C. Berdasarkan hasil simulasi, tangki evaporator biodiesel yang dilengkapi sparger pipa C merupakan yang paling optimal dalam menghasilkan aliran turbulen. Hal tersebut berdasarkan sebaran kecepatan yang ditampilkan pada Re=5000, Re=10000, dan Re=50000. Dengan demikian, tangki evaporator biodiesel dengan pemasangan sparger pipa C berpotensi menurunkan kadar air lebih tinggi dibandingkan dengan pemasangan orifice plate, sparger pipa A dan sparger pipa B.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"83 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.128-139
Nissa Adiarifia, W. Budiastra, S. Mardjan, Article Info
Oil and water content are an important quality criteria of crude palm oil (CPO) resulted from palm oil fruit processing. Those contents are usually determined using chemical method in the laboratory. This method is time consuming, long procedure, and destructive. Some efforts had been carried out to determine oil and water content of palm oil fruit non-destructively using some methods including Near-Infrared Spectroscopy (NIRS), but the results had not been satisfied. This research aims to assess Artificial Neural Network (ANN) and NIRS method to predict oil and water content of palm oil fruit’s non-destructively. The samples were palm oil fruits with ten maturity levels harvested from plantation in Bogor. Sample’s reflectance was measured with spectrometer NIR-Flex 500 at wavelength of 1000-2500 nm. After that, oil and water content were determined using chemical method. Some pre-treatments of NIR spectra namely normalization, savitzky-golay first derivative, their combinations, and standard normal variate were applied. Multivariate analysis such as PLS were carried out and the results of Factor Component (FC) were input for ANN model. The result showed the best method to predict oil content was combination savitzky-golay first derivative and normalization pre-treatment using PLS-ANN with 20 FC (R2=0.99; SEC=0,58%, RPD = 29.89; CV = 2.47%). For water content, the best prediction was standard normal variate pre-treatment using PLS-ANN with 20 FC (R2=0.99; SEC=1,07%, RPD=20.68; CV=1,73%). The result shows that developed ANN and NIRS can predict oil and water content of palm oil fruit non-destructively.
油分和水分是棕榈油果实加工过程中产生的毛棕榈油（CPO）的重要质量标准。这些含量通常是在实验室用化学方法测定的。这种方法费时、耗时长，而且具有破坏性。有人曾使用近红外光谱法（NIRS）等一些方法来非破坏性地测定棕榈油果实的油分和水分含量，但结果并不令人满意。本研究旨在评估人工神经网络（ANN）和近红外光谱法，以非破坏性方式预测棕榈油果实的油分和水分含量。样本是从茂物种植园收获的十个成熟度的棕榈油果实。样品的反射率用波长为 1000-2500 纳米的 NIR-Flex 500 光谱仪测量。然后用化学方法测定油分和水分含量。对近红外光谱进行了一些预处理，即归一化、Savitzky-Golay 一阶导数、它们的组合和标准正态变量。进行了多变量分析（如 PLS），并将因子分量（FC）结果输入 ANN 模型。结果显示，预测含油量的最佳方法是使用 20 个 FC 的 PLS-ANN 将 savitzky-golay 一阶导数和归一化预处理相结合（R2=0.99；SEC=0.58%；RPD=29.89；CV=2.47%）。对于含水量，使用 20 FC 的 PLS-ANN 进行标准正态变异预处理的预测效果最佳（R2=0.99；SEC=1.07%，RPD=20.68；CV=1.73%）。结果表明，所开发的 ANN 和近红外分析仪可以非破坏性地预测棕榈油果实的含油量和含水量。
{"title":"Non-Destructive Prediction of Chemical Content in Palm Oil Fruit Using Near-Infrared Spectroscopy and Artificial Neural Network","authors":"Nissa Adiarifia, W. Budiastra, S. Mardjan, Article Info","doi":"10.19028/jtep.012.1.128-139","DOIUrl":"https://doi.org/10.19028/jtep.012.1.128-139","url":null,"abstract":"Oil and water content are an important quality criteria of crude palm oil (CPO) resulted from palm oil fruit processing. Those contents are usually determined using chemical method in the laboratory. This method is time consuming, long procedure, and destructive. Some efforts had been carried out to determine oil and water content of palm oil fruit non-destructively using some methods including Near-Infrared Spectroscopy (NIRS), but the results had not been satisfied. This research aims to assess Artificial Neural Network (ANN) and NIRS method to predict oil and water content of palm oil fruit’s non-destructively. The samples were palm oil fruits with ten maturity levels harvested from plantation in Bogor. Sample’s reflectance was measured with spectrometer NIR-Flex 500 at wavelength of 1000-2500 nm. After that, oil and water content were determined using chemical method. Some pre-treatments of NIR spectra namely normalization, savitzky-golay first derivative, their combinations, and standard normal variate were applied. Multivariate analysis such as PLS were carried out and the results of Factor Component (FC) were input for ANN model. The result showed the best method to predict oil content was combination savitzky-golay first derivative and normalization pre-treatment using PLS-ANN with 20 FC (R2=0.99; SEC=0,58%, RPD = 29.89; CV = 2.47%). For water content, the best prediction was standard normal variate pre-treatment using PLS-ANN with 20 FC (R2=0.99; SEC=1,07%, RPD=20.68; CV=1,73%). The result shows that developed ANN and NIRS can predict oil and water content of palm oil fruit non-destructively.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"19 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.117-127
Lukito Hasta Pratopo Lukito, Ahmad Thoriq, Drupadi Ciptaningtyas, Muhammad Rifaldhy
The nata de coco industry produces liquid waste which, if thrown directly into water bodies (rivers) without prior processing, has the potential to pollute the surrounding environment. Laboratory test results show that the parameters BOD 1145 mg/L, COD 1737 mg/L, and TSS 206 mg/l are far above the thresholds set by the government. The aim of this research is to determine the optimum conditions for fine bubble and micro bubble treatment of nata de coco liquid waste in reducing the characteristic values of nata de coco liquid waste. This research was carried out using experimental methods with test samples of 40 liters and 60 liters. Data collected through direct observation include DO, TDS, pH, temperature which are measured every 2 hours, while data collected through laboratory testing of BOD, COD and TSS which are tested every 12 hours and 24 hours. The data was then processed using the Taguchi method with the aim of optimizing the fine bubble treatment for changes in the characteristics of nata de coco liquid waste. The research results showed that the optimum conditions were found in the fine bubble treatment with an aeration period of 24 hours and a volume of 40 liters. The best percentage reduction in BOD was found to be 94% or 68 mg/L. COD reduction obtained the best percentage reduction of 93% and/or became 121 mg/L and TSS obtained the best percentage reduction of 69% or became 77 mg/L. These results are in accordance with the Regulation of the Minister of Environment of the Republic of Indonesia Number 5 of 2014 concerning Waste Water Quality Standards
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Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.21-34
Lidia Kristina Panjaitan, Wawan Hermawan, Supriyanto Supriyanto, R. H. Triharjanto, Sayr Bahri
When operating drone sprayer, such as to distribute pesticides, downwash is the major cause of damage on the plants. Therefore, understanding the mechanical properties of plants are important to be able select the proper drone to use. In this research, characteristics of leaf strength and flexibility of two types of shallots were investigated, namely the Batu Ijo and Birma varieties. Research on the characteristics of the strength and flexibility of shallots was carried out from the 3rd to the 8th week for the Batu Ijo and 9 varieties of Birma, 100 samples each week. The strength of the leaf was measured by pulling the leaf until it breaks by attaching a thread to the base of the leaf which is pulled by a force gauge device. Then to measure its flexibility by pulling the top of the leaf with the thread that is pulled until it touches the ground surface. From this research, data on the strength characteristics of the leaves of the Birma variety 29 N that is much stronger than the Batu Ijo variety 8.9 N got obtained. Meanwhile, for the flexural characteristics, the Batu Ijo variety was 5 N with pressure P 0,113 N/cm2 more flexible than the Birma variety 3.3 N with pressure P 0,087 N/cm2. The minimum bending strength of the leaves for the two varieties F is almost the same, where for the Batu Ijo variety F 0.044 N with P 0.005 N/cm2 and for Birma varety F 0.041 N with pressure P 0.009 N/cm2. Based on the characteristics of this minimum bending, it becomes the basis for optimizing the design of the drone sprayer blade.
在操作无人机喷雾器（如喷洒农药）时，下冲是对植物造成损害的主要原因。因此，了解植物的机械特性对于选择合适的无人机非常重要。本研究调查了两种大葱（即 Batu Ijo 和 Birma 品种）的叶片强度和柔韧性特征。对 Batu Ijo 和 Birma 9 个品种的大葱叶片强度和柔韧性特征的研究从第 3 周到第 8 周进行，每周 100 个样本。叶片强度的测量方法是，在叶片基部拴上一根线，用测力计拉动叶片，直到叶片断裂。然后，用拉线拉动树叶顶部，直至其接触地面，从而测量其柔韧性。通过这项研究，我们获得了关于 Birma 品种叶片强度特性的数据，其强度为 29 N，远高于 Batu Ijo 品种的 8.9 N。同时，在弯曲特性方面，Batu Ijo 品种的 5 N（压力 P 0.113 N/cm2）比 Birma 品种的 3.3 N（压力 P 0.087 N/cm2）更灵活。两个品种 F 的叶片最小弯曲强度几乎相同，Batu Ijo 品种 F 为 0.044 N，压力 P 为 0.005 N/cm2，Birma 品种 F 为 0.041 N，压力 P 为 0.009 N/cm2。根据这一最小弯曲的特点，它成为优化无人驾驶喷雾器叶片设计的基础。
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Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.35-56
Erwan Hermawan, Adiarso Adiarso, R. Wijono, U. Sudjadi, Hari Setiawan
Dalam waktu 10 tahun terakhir laju pertumbuhan penduduk Indonesia adalah 1.25% per tahun. Dengan meningkatnya populasi Indonesia berdampak terhadap konsumsi energi nasional yang meningkat dari 3.01 barrels oil equivalent (BOE) per kapita di tahun 2013 menjadi 3.12 BOE per kapita di tahun 2020. Salah satu upaya untuk mengurangi emisi ini adalah memanfaatkan sumber energi terbarukan terutama dari sektor kehutanan. Salah satu produknya adalah biomassa atau produk dalam bentuk woodpellet. Biomass dari hasil kegiatan perkebunan karet, logging residue, dan sawn timber residue memiliki potensi energi sebesar 152 GJ per tahun. Salah satu upaya untuk mengatasi permasalahan lingkungan adalah dengan memindahkan Ibu Kota Negara ke Provinsi Kalimantan Timur. Terdapat potensi yang besar untuk memanfaatkan sektor kehutanan dalam mensuplai energi, salah satunya adalah residue dari hutan tanaman industri (HTI). Melalui studi ini akan dihitung keekonomian produk woodpellet dari residue HTI sebagai bahan baku Pembangkit Listrik Tenaga Biomassa (PLTBm). Berdasarkan hasil perhitungan harga minimum wood pellet adalah Rp. 1,700/kg dan diperoleh IRR 13.1%, NPV Rp. 41 miliar, dan payback period 8.1 tahun. Dengan menggunakan input harga keekonomian wood pellet sebagai harga beli bahan baku untuk PLTBm, diperoleh harga keekonomian listrik adalah Rp. 3,000/kwh. Solusi lainnya adalah dengan memproduksi steam, dari hasil perhitungan keekonomian harga steam minimum adalah Rp. 740/kg, sehingga diperoleh keekonomian PLTBm IRR 11.4%, NPV Rp. 21.7 miliar, dan payback period 8.3 tahun.
{"title":"Evaluasi Keekonomian Residue Hutan Tanaman Industri Untuk Pemenuhan Energi di Ibu Kota Negara","authors":"Erwan Hermawan, Adiarso Adiarso, R. Wijono, U. Sudjadi, Hari Setiawan","doi":"10.19028/jtep.012.1.35-56","DOIUrl":"https://doi.org/10.19028/jtep.012.1.35-56","url":null,"abstract":"Dalam waktu 10 tahun terakhir laju pertumbuhan penduduk Indonesia adalah 1.25% per tahun. Dengan meningkatnya populasi Indonesia berdampak terhadap konsumsi energi nasional yang meningkat dari 3.01 barrels oil equivalent (BOE) per kapita di tahun 2013 menjadi 3.12 BOE per kapita di tahun 2020. Salah satu upaya untuk mengurangi emisi ini adalah memanfaatkan sumber energi terbarukan terutama dari sektor kehutanan. Salah satu produknya adalah biomassa atau produk dalam bentuk woodpellet. Biomass dari hasil kegiatan perkebunan karet, logging residue, dan sawn timber residue memiliki potensi energi sebesar 152 GJ per tahun. Salah satu upaya untuk mengatasi permasalahan lingkungan adalah dengan memindahkan Ibu Kota Negara ke Provinsi Kalimantan Timur. Terdapat potensi yang besar untuk memanfaatkan sektor kehutanan dalam mensuplai energi, salah satunya adalah residue dari hutan tanaman industri (HTI). Melalui studi ini akan dihitung keekonomian produk woodpellet dari residue HTI sebagai bahan baku Pembangkit Listrik Tenaga Biomassa (PLTBm). Berdasarkan hasil perhitungan harga minimum wood pellet adalah Rp. 1,700/kg dan diperoleh IRR 13.1%, NPV Rp. 41 miliar, dan payback period 8.1 tahun. Dengan menggunakan input harga keekonomian wood pellet sebagai harga beli bahan baku untuk PLTBm, diperoleh harga keekonomian listrik adalah Rp. 3,000/kwh. Solusi lainnya adalah dengan memproduksi steam, dari hasil perhitungan keekonomian harga steam minimum adalah Rp. 740/kg, sehingga diperoleh keekonomian PLTBm IRR 11.4%, NPV Rp. 21.7 miliar, dan payback period 8.3 tahun.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.57-76
Delvi Yanti, O. C. Chatib, I. Safitri, Nadya Nur Hasanah
The main factors affecting plant growth and yield are soil, climate, and plants. The influence of clime is more than soil on plant growth under certain conditions. The evidence is that some cover vegetation growth conditions are much different even though they grow on the same land. In each distinct place, the harvest time of one type of plant is not the same. One crucial factor that affects this is the daily growth rate or the degree of Growing Degree Days (GDD). Know parameters such as soil type, slope, land use, rainfall, and GDD temperature by using geographic information systems in determining the suitability of agricultural commodity development areas. The study aims to determine the suitability of soybean cropland in West Sumatra based on GDD value. Conducting land suitability analysis using the GDD method through several stages, namely, the classification of soybean land suitability parameters, making a map of soybean plant land suitability in physical characteristics, classifying the GDD value of soybean plants for the West Sumatra region, and making a soybean cropland suitability map based on GDD value. The potential land for soybean cultivation in West Sumatra based on land suitability class, physical characteristics, and GDD value is 555,791.66 hectares in class S1 (very suitable) and an area of 2,313,796.44 hectares in class S2 (appropriate enough). The most optimal planting time for soybean cultivation is in August. Lima Puluh Kota Regency, Pasaman Regency, Sijunjung Regency, and Solok Regency have land suitable for soybean cultivation with more than 200 thousand hectares of areas and are in areas with growing degree days suitable for soybean growth.
{"title":"Mapping the Potential Development of Soybenas Crops Based on Growing Degree Days","authors":"Delvi Yanti, O. C. Chatib, I. Safitri, Nadya Nur Hasanah","doi":"10.19028/jtep.012.1.57-76","DOIUrl":"https://doi.org/10.19028/jtep.012.1.57-76","url":null,"abstract":"The main factors affecting plant growth and yield are soil, climate, and plants. The influence of clime is more than soil on plant growth under certain conditions. The evidence is that some cover vegetation growth conditions are much different even though they grow on the same land. In each distinct place, the harvest time of one type of plant is not the same. One crucial factor that affects this is the daily growth rate or the degree of Growing Degree Days (GDD). Know parameters such as soil type, slope, land use, rainfall, and GDD temperature by using geographic information systems in determining the suitability of agricultural commodity development areas. The study aims to determine the suitability of soybean cropland in West Sumatra based on GDD value. Conducting land suitability analysis using the GDD method through several stages, namely, the classification of soybean land suitability parameters, making a map of soybean plant land suitability in physical characteristics, classifying the GDD value of soybean plants for the West Sumatra region, and making a soybean cropland suitability map based on GDD value. The potential land for soybean cultivation in West Sumatra based on land suitability class, physical characteristics, and GDD value is 555,791.66 hectares in class S1 (very suitable) and an area of 2,313,796.44 hectares in class S2 (appropriate enough). The most optimal planting time for soybean cultivation is in August. Lima Puluh Kota Regency, Pasaman Regency, Sijunjung Regency, and Solok Regency have land suitable for soybean cultivation with more than 200 thousand hectares of areas and are in areas with growing degree days suitable for soybean growth.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.102-116
Chairunnisa Rahmaniar, Emmy Darmawati, S. Widayanti
Arumanis mango is a tropical fruit with high economic value for export. One of the technologies that can be used is ethylene adsorber which is applied according to the picking date of mango and the duration of the delay in ripeness (green life phase) required for export. The objective of this study was to examine the effect of using ethylene adsorber and mango green life phase on the physical quality and eating quality of Arumanis mangoes at different picking dates, thats 100 (P1) and 110 (P2) HSBM (Days After Flowers Bloom). Ethylene adsorber bag (EAB) was applied to mangoes packaged using LDPE plastic weighing 1,000±50g. The green life phase studied was 32 and 48 days since the EAB was applied. During the green life phase, mangoes were stored at 13±2℃. EAB was removed from the packaging according to the green life phase. The results showed that the EAB application could maintain the green life of mangoes with a shelf-life scenario of 32 days. Mangoes were ready to be consumed from the first day EAB was released. The time from ripe until the panelists did not accept the mangoes was four days, thus the length of time was 36 days from storage until they were not accepted for consumption. Eating quality expressed in oBrix, showed that mangoes delayed with EAB yielded a value of 12,3oBrix for P1 and 17.3oBrix for P1, while the control yielded values of 13,7oBrix for P1 and 16.8oBrix for P2.
{"title":"Penundaan Kematangan Buah Mangga Arumanis Pada Berbagai Umur Petik Menggunakan Etilen Adsorber","authors":"Chairunnisa Rahmaniar, Emmy Darmawati, S. Widayanti","doi":"10.19028/jtep.012.1.102-116","DOIUrl":"https://doi.org/10.19028/jtep.012.1.102-116","url":null,"abstract":"Arumanis mango is a tropical fruit with high economic value for export. One of the technologies that can be used is ethylene adsorber which is applied according to the picking date of mango and the duration of the delay in ripeness (green life phase) required for export. The objective of this study was to examine the effect of using ethylene adsorber and mango green life phase on the physical quality and eating quality of Arumanis mangoes at different picking dates, thats 100 (P1) and 110 (P2) HSBM (Days After Flowers Bloom). Ethylene adsorber bag (EAB) was applied to mangoes packaged using LDPE plastic weighing 1,000±50g. The green life phase studied was 32 and 48 days since the EAB was applied. During the green life phase, mangoes were stored at 13±2℃. EAB was removed from the packaging according to the green life phase. The results showed that the EAB application could maintain the green life of mangoes with a shelf-life scenario of 32 days. Mangoes were ready to be consumed from the first day EAB was released. The time from ripe until the panelists did not accept the mangoes was four days, thus the length of time was 36 days from storage until they were not accepted for consumption. Eating quality expressed in oBrix, showed that mangoes delayed with EAB yielded a value of 12,3oBrix for P1 and 17.3oBrix for P1, while the control yielded values of 13,7oBrix for P1 and 16.8oBrix for P2.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140744401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelapa sawit merupakan tanaman perkebunan yang membutuhkan curah hujan yang merata sepanjang tahun. Curah hujan diIndonesia memiliki 3 pola yaitu pola monsoonal, equatorial dan lokal. PT. Harapan Hibrida Kalbar Sungai Bila Estate merupakan wilayah kajian penelitian ini memiliki pola curah hujan equatorial. Curah hujan dapat menyimpang dari pola kondisi iklim pada umumnya karena adanya variabilitas iklim El Nino Southern Oscillation dan Indian Ocean Dipole. Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks El Nino Southern Oscillation sebesar -0,78** dan -0,64*. El Nino Southern Oscillation Memiliki hubungan yang kuat dan terbalik dengan curah hujan diwilayah kajian saat musim kemarau dengan nilai signifikan pada selang kepercayaan 0,01 ( Juni, Juli, Agustus) dan 0,05 (September, Oktober, November) Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks Indian Ocean Dipole sebesar -0,4 dan -0,5. Pengaruh El Nino Southern Oscillation lebih kuat dibandingkan dengan Indian Ocean Dipole di wilayah kajian. Fase El Nino (lanina) menyebabkan curah hujan diwilayah kajian menjadi lebih rendah (tinggi) dari kondisi normal, sehingga terjadi kemarau Panjang (Kemarau basah). Produksi kelapa sawit pada jenis tanah Sandy Loam lebih fluktuatif dan lebih rentan saat terjadi kemarau panjang dibandingkan jenis tanah clay. Produksi kelapa sawit lebih dipengaruhi oleh jumlah hari hujan dibandingkan jumlah akumulasi curah hujan dalam setahun.
{"title":"Penyimpangan Iklim ENSO dan IOD di Kalimantan Tengah Serta Kaitannya dengan Produksi Kelapa Sawit","authors":"Hermantoro Hermantoro, Dary As’ad Fadhil, Herry Wirianata","doi":"10.19028/jtep.012.1.93-101","DOIUrl":"https://doi.org/10.19028/jtep.012.1.93-101","url":null,"abstract":"Kelapa sawit merupakan tanaman perkebunan yang membutuhkan curah hujan yang merata sepanjang tahun. Curah hujan diIndonesia memiliki 3 pola yaitu pola monsoonal, equatorial dan lokal. PT. Harapan Hibrida Kalbar Sungai Bila Estate merupakan wilayah kajian penelitian ini memiliki pola curah hujan equatorial. Curah hujan dapat menyimpang dari pola kondisi iklim pada umumnya karena adanya variabilitas iklim El Nino Southern Oscillation dan Indian Ocean Dipole. Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks El Nino Southern Oscillation sebesar -0,78** dan -0,64*. El Nino Southern Oscillation Memiliki hubungan yang kuat dan terbalik dengan curah hujan diwilayah kajian saat musim kemarau dengan nilai signifikan pada selang kepercayaan 0,01 ( Juni, Juli, Agustus) dan 0,05 (September, Oktober, November) Hasil koefisien korelasi pearson antara curah hujan musim Juni Juli Agustus dan September Oktober November dengan indeks Indian Ocean Dipole sebesar -0,4 dan -0,5. Pengaruh El Nino Southern Oscillation lebih kuat dibandingkan dengan Indian Ocean Dipole di wilayah kajian. Fase El Nino (lanina) menyebabkan curah hujan diwilayah kajian menjadi lebih rendah (tinggi) dari kondisi normal, sehingga terjadi kemarau Panjang (Kemarau basah). Produksi kelapa sawit pada jenis tanah Sandy Loam lebih fluktuatif dan lebih rentan saat terjadi kemarau panjang dibandingkan jenis tanah clay. Produksi kelapa sawit lebih dipengaruhi oleh jumlah hari hujan dibandingkan jumlah akumulasi curah hujan dalam setahun.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"6 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.19028/jtep.012.1.140-152
Harry Imantho, K. Seminar, E. Damayanthi, N. E. Suyatma, K. Priandana, Bonang Waspadadi Ligar, Annisa Utami Seminar
The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.
饮食相关疾病的发病率不断上升，因此有必要关注个人的食物选择，以提高营养摄入量，促进整体健康。本研究介绍了一种新型食品推荐系统，该系统利用人工智能，特别是遗传算法（GA），将不同的营养需求与现有食品进行智能匹配。研究结合了机器学习方法，如协同过滤和基于内容的过滤，来开发推荐模型。来自商业餐厅、Nutrisurvey 和印尼食品成分表的数据为五种菜单项目的营养分析提供了信息。考虑到性别、体重指数、医疗条件和体力活动等因素，消费者的变异性被整合到了个性化食物模式匹配的 GA 框架中。研究结果表明，所提出的模型能够有效地为患有糖尿病、高血压和心脏病等非传染性疾病（NCD）的消费者提供量身定制的食物建议。系统中采用的多目标优化技术确保了营养充足性和个人偏好之间的平衡。所介绍的基于遗传算法的方法有望促进根据个人需求选择更健康的食品，从而为促进可持续和个性化食品系统这一更广泛的目标做出贡献。
{"title":"An Intelligent Food Recommendation System for Dine-in Customers with Non-Communicable Diseases History","authors":"Harry Imantho, K. Seminar, E. Damayanthi, N. E. Suyatma, K. Priandana, Bonang Waspadadi Ligar, Annisa Utami Seminar","doi":"10.19028/jtep.012.1.140-152","DOIUrl":"https://doi.org/10.19028/jtep.012.1.140-152","url":null,"abstract":"The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.","PeriodicalId":509812,"journal":{"name":"Jurnal Keteknikan Pertanian","volume":"8 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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