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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Dan Industri Pangan Teknotan: Jurnal Industri Teknologi Pertanian Jurnal Keteknikan Pertanian Jurnal Penelitian Tanaman Industri Jurnal Tanaman Industri dan Penyegar Pelita Perkebunan agriTECH Indonesian Journal of Biotechnology Widyariset Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Warta IHP (Warta Industri Hasil Pertanian) Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Penelitian Tanaman Industri (Littri) Widyariset Jurnal Pusat Inovasi Masyarakat
I Wayan Budiastra
Departemen Teknik Mesin Dan Biosistem, Fakultas Teknologi Pertanian, Institut Pertanian Bogor, Kampus IPB Dramaga, Bogor 16680
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics Social Sciences Other

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Non Destructive Determination of Soursop Firmness and Sweetness With Ultrasonic Method I Wayan Budiastra; Fila Rodotul Jannah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 2 (2022): June
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i2.253-265

Abstract

Firmness and sweetness are parameters that significantly affect the quality of soursop fruit. This study aims to examine the application of the ultrasonic method to determine the quality (firmness and sweetness) of soursop fruitnondestructively. Measurements were carried out using three different ripeness levels of soursop fruit, namely immature, ripe, and overripe. Samples were measured using an ultrasonic wave measurement system with a frequency of 50 kHz and followed by measurements of the physicochemical properties such as firmness and total soluble solid (TSS) of the fruit. The results showed that the ultrasonic wave velocity of soursop fruit at three levels of maturity ranged from 169.03–278.31 m/s, while the attenuation coefficient ranged from 9.11–19.94 dB/m. The firmness values, total soluble solids, and density were 1.37–61.59 N, 5.73-17.93 °Brix, and 1014.77–1630.13 kg/m3. There were significant correlations between ultrasonic parameters, firmness, and TSS. Classifying the level of firmness and sweetness on soursop fruit using linear regression equations based on ultrasonic wave velocity parameters produces two-equation functions with the accuracy of classifying soursop fruit on the three levels of firmness and sweetness, namely 100% and 95%. Thus the ultrasonic wave velocity parameter could be used in classifying soursop fruit based on the level of firmness and sweetness.
Prediction of Copra Chemical Content with FT-NIR Spectroscopy Using PLS mardiantono Mardiantono; I Wayan Budiastra; Sutrisno
Jurnal Keteknikan Pertanian Vol. 10 No. 2 (2022): Agustus 2022
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.010.2.87-97

Abstract

Kopra merupakan produk turunan kelapa yang digunakan sebagai bahan baku pembuatan minyak kelapa dan turunannya. Kandungan kimia kopra umumnya ditentukan dengan menggunakan metode kimia yang merusak bahan, waktu yang lama, dan membutuhkan bahan kimia. Oleh karena itu, perlu metoda alternatif dalam penentuan kandungan kimia kopra yang tidak merusak, cepat dan tidak mengandung bahan kimia. Tujuan penelitian ini adalah untuk mengkaji metoda spektroskopi FT-NIRS sebagai metode cepat untuk prediksi kadar air dan asam lemak bebas (FFA) kopra. Kopra utuh sebanyak 45 sampel diukur reflektannya dengan spectrometer NIRFlex N-500 pada panjang gelombang 1000-2500 nm. Setelah itu kaadar air dan kadar asam lemak bebas kopra ditentukan menggunakan metode kimia. Sejumlah pengolahan data spektra (SNV, MSC, Normalization, dan OSC) dilakukan kemudian spektra yang telah terolah dikalibrasi dengan data kimia menggunakan PLS. Prediksi terbaik untuk penentuan kadar air kopra adalah menggunakan pretreatment SNV dengan 12 faktor PLS (r = 0,97, SEC = 0,70%, SEP = 0,73, CV = 9,08%, RPD = 3,41 dan konsistensi 95,75%). Sedangkan untuk prediksi kadar asam lemak bebas (FFA) adalah menggunakan pretreatment OSC dengan faktor 13 PLS (r = 0,90, SEC = 0,04%, SEP = 0,05%, CV = 24,45%, RPD = 2,05 dan konsistensi 71,78%). Hasil ini menunjukkan bahwa kadar air dan kadar FFA kopra dapat diprediksi oleh FT NIR Spectroscopy.
Peningkatan Teknologi Produksi dan Strategi Pemasaran Produk Kosmetik di Perusahaan Belukar Organics Alla Asmara; I Wayan Budiastra; Deva Primadia; Fiona Hanberia Innayah; Titis Priyowidodo; Elizabeth Sonya Lumbantoruan; Tarisa Fadillah
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 1 (2023): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.9.1.73-80

Abstract

Belukar organics is a newly developed business entity for the production of liquid body soap and body scrubs. The volume of production and sales of liquid body soap and scrubs is still limited, around 360 bottles and 24 kilograms per year due to lack of marketing strategy and ineffective production process. Therefore, the objectives of program held for 7 months is to increase the production and sales volumes of liquid soap and body scrub. The program activities focused on training and supervision on production technology, packaging, management, marketing and facilitation of production and packaging equipment. In the production aspect, the new lay out of production process was set up, the new production technology and the SOPs were applied. In the management aspect, training and supervision in the Business Model Canvas, Business Plan and Action Plan, bookkeeping and accounting were carried out. In the marketing aspect, training and marketing supervision were carried out covering aspects of branding, promotion and digital marketing. With training and mentoring activities, the production of Belukar organics liquid soap increased from 39 bottles to 117 bottles per month. Body scrub production increased from 2 kg to 7 kg per month. Sales turnover of liquid body soap also increased from 4,3 million rupiah per month to 12,3 million rupiah per month, while body scrubs increased from 2 million rupiah to 6,5 million rupiah per month. PKM activities succeeded in increasing the volume of production and sales of liquid body soap and body scrub Belukar Organics by around 300%.
Evaluation of the patchouli essential oil (Pogostemon cablin Benth.) aromatic characteristic by near‐infrared spectroscopy Diego Mauricio Cano-Reinoso; Yohanes Aris Purwanto; I Wayan Budiastra; Shinichiro Kuroki; Sutrisno Sutrisno; Slamet Widodo
Indonesian Journal of Biotechnology Vol 28, No 1 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.69073

Abstract

This study aimed to evaluate the aromatic characteristic of patchouli essential oil (Pogostemon cablin Benth.) by near‐infrared spectroscopy combined with chemometric treatments. The study used 84 oil samples collected from around Indonesia, namely in Konawe, Kolaka, Bogor, Garut, Aceh, Jambi, and Masamba. Several pretreatments were used to process the spectral data, together with the application of partial least squares. The spectrum wavelength applied was between 1000 and 2500 nm. The spectra data were separated to develop two models based on their physical and chemical properties (Bogor, Garut, Konawe, and Kolaka in the first model; Aceh, Jambi, and Masamba in the second one). Liquid chromatography‐mass spectrometry (LC‐MS) was used as a reference method. Patchouli alcohol was established as the main chemical compound of this aromatic oil. The best calibration for the first model was that with mean center normalization as a data pretreatment, while for the second model, it was the one using the second derivative. Both models had a correlation coefficient higher than 0.90 and a coefficient of variation lower than 2.98%. In conclusion, near‐infrared spectroscopy can be employed as an accurate tool to determine the characteristic of patchouli oil.
Exergoeconomic Analysis of Integrated Rice Mill Systems with Gasifiers Omil Charmyn Chatib; I Wayan Budiastra; Mohamad Solahudin; Y. Aris Purwanto; Leopold Oscar Nelwan
Jurnal Keteknikan Pertanian Vol. 11 No. 2 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.2.128-137

Abstract

Applying the concept of utilizing rice mill waste as an energy source can support the increase in the productivity of renewable energy. The exergonomic concept can be used as one of the steps to see opportunities for husks to be used as an energy booster in a rice mill system that has been integrated with a gasifier. Specific Exergy Cost (SPECO) is used as the method, that combines exergy and economic analysis by applying the cost concept to the thermal system. Based on the analysis results, gas producers can replace diesel fuel in small-sized rice mill systems. Compared with these inputs, husks and energy products from the gasifier can produce nearly 6 and 4 times the exergy, respectively. In addition, gas utilization producers can also reduce fuel expenditure costs by up to 84.67%.
Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument Rizky Wiradinata; I Wayan Budiastra; Slamet Widodo
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol 37 No 3 (2021)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v37i3.462

Abstract

A method of non-destructively moisture content measurement of coffee beans is using near infrared spectroscopy (NIRS) which in general can be applied to determine chemical content of various organic materials. However, the commercial NIR instrument can not measure many samples in a single time, consequently the faster measurement can not be realized. The purposes of this research was to study the performance of modified NIR instrument prototype for measuring the moisture content of Java Preanger coffee beans. Performance study of modified NIR instrument was carried out on 50 coffee bean samples for determination of sample moisture content. The reflectance spectra of samples were measured bymodified NIRS instrument and then water content of samples was determined by oven method. The spectra data and water content were calibrated by multiple linier regression method to find the best calibration model. The result of this research show that number of wavelengths chosen to predict the moisture contentof Java Preanger coffee bean accurately is 17 wavelengths. The correlation coefficient (R) moisture content based on NIRS instrument and oven method was 0.902, this suggest that the model is able to explain 90.2% the diversity of existing data. The value of standard error calibration (SEC) and standard error prediction (SEP)was almost zero meaning that the error of prediction is low. This study also reveal that the value of residual predictive deviation (RPD) is 2.32, which means the prediction model for determination of Java Preanger coffee beans moisture content is good enough.
Effectiveness of Gamma Ray Irradiation on the Quality of Cured Vanilla (Vanilla Planifolia A.) handayani, yossi; Budiastra, I Wayan; Ahmad, Usman
Jurnal Keteknikan Pertanian Vol. 11 No. 3 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.3.344-357

Abstract

Vanili umumnya disimpan untuk tahap penuaan selama 2-6 bulan sehingga memicu pertumbuhan mikrob. Teknologi iradiasi dapat diterapkan untuk mereduksi mikrob pada vanili tujuan ekspor. Tujuan penelitian adalah menguji efektivitas iradiasi gamma terhadap mutu vanili hasil curing serta menentukan dosis iradiasi terbaik dengan mutu masih diterima oleh konsumen. Rancangan percobaan adalah rancangan acak lengkap faktorial dengan tiga ulangan. Faktor pertama dosis iradiasi sebanyak tiga taraf yaitu 10, 15 dan 30 kGy serta tanpa iradiasi (0 kGy) sebagai kontrol. Faktor kedua adalah bahan baku vanili hasil curing sebanyak tiga taraf yaitu vanili curing dengan pengering efek rumah kaca (ERK) tanpa peram lanjut, vanili curing dengan pengering ERK dan peram lanjut empat malam serta vanili curing hasil penjemuran petani. Pemberian iradiasi dilakukan pada vanili setelah penyimpanan selama dua bulan. Pengujian parameter mutu dilakukan sebelum dan sesudah iradiasi pada sampel yang dikemas, meliputi, fisik, kimia, mikrobiologi, dan uji organoleptik. Dosis iradiasi 10 kGy ditemukan efektif untuk mengurangi cemaran mikrobiologi pada vanili tanpa peram dan dengan peram lanjut sesuai batas cemaran SNI, namun pada vanili penjemuran petani dibutuhkan dosis 15 kGy. Dosis iradiasi tidak memberi efek terhadap susut bobot, kadar air dan kadar vanilin sehingga mutu dan aroma masih baik. Iradiasi meningkatkan nilai L* dan chroma namun kesukaan panelis terhadap warna vanili masih bernilai 4 (agak suka) hingga 30 kGy. Pemberian iradiasi meningkatkan kesukaan panelis terhadap aroma dari agak tidak suka (3) sebelum diiradiasi menjadi agak suka (4) setelah diiradiasi.
Design and Performance Test of Brown Rice Germinator with Automatic Environmental Control System for Production of Germinated Brown Rice Ressy Angli Permatasari; Sutrisno Sutrisno; I Wayan Budiastra; Haris Mawardi; Angga Firmansyah; Arfandi Hermawan; Elisa Eka Ari Purwanti Ningsih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 14, No 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.171-181

Abstract

A germinator equipped with automatic environmental control system has been developed to produce the high quality of germinated brown rice. The germinator consists of germination chamber, temperature and relative humidity sensors, relays, actuator, and display panel so the germination process can be set up and controlled. The performance test were carried out covering the technical reliability of the system and the capability of germinator to produce germinated brown rice. The test results show that the brown rice germinator with an automatic environmental control system worked very well. The use of water misters and PTC air heaters is able to maintain humidity and air temperature inside germinator. The brown rice germinator can produce germinated brown rice with germination rate more than 80%. The result shows that the brown rice germinator can be used to produce germinated brown rice both for private and commercial use. Keywords: Brown rice, Germination, Humidity, Temperature.
Bahasa Inggris Nissa Adiarifia; I Wayan Budiastra; Sutrisno Suro Mardjan
Jurnal Keteknikan Pertanian Vol. 12 No. 1 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.1.128-139

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.
Macro-Nutrient Prediction of Paddy Field Soil Using Artificial Neural Network and NIR Spectroscopy Jonni Firdaus; Usman Ahmad; I Wayan Budiastra; I Dewa Made Subrata
Jurnal Keteknikan Pertanian Vol. 12 No. 2 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.2.242-258

Abstract

Understanding soil fertility, influenced by macronutrients like nitrogen, phosphorus, and potassium, is essential for adaptive agriculture implementation based on various soil conditions. Near-infrared spectroscopy technology provides non-destructive, rapid soil property measurements without chemicals, applicable both in-field and in-laboratory. However, the wide NIR spectrum range and neural network complexities can hinder Artificial Neural Network (ANN) training and inference, leading to time and resource inefficiency, especially without sophisticated computing devices. This study examines data reduction methods to enhance ANN performance in predicting soil macronutrients using NIR spectra. Multiple Linear Regression (MLR) and Principal Component Analysis (PCA) were applied to select wavelengths from the 1000–2500 nm for ANN input, comparing their performance. About 237 NIR reflectance data from paddy soil were transformed into absorbance data. MLR used forward selection to identify wavelengths with correlations higher than 0.9, while PCA selected wavelengths corresponding to the loading factor peaks for each principal component. These selected wavelengths served as inputs for the ANN model. The ANN’s performance was assessed using correlation and determination coefficients, RMSE, RPD, and model consistency. For nitrogen, the PCA+ANN model with reflectance spectra performed better (RPD 2.4-4.8) than the MLR+ANN model (RPD 2.2-2.6) using fewer wavelengths (5-9 for PCA+ANN vs. 9-12 for MLR+ANN). For phosphorus estimation, the PCA+ANN model also excelled (RPD 2.3-7.0 vs. 2.3-2.4) with fewer wavelengths (4-7 vs. 7). For potassium estimation, the PCA+ANN model showed superior performance (RPD 4.3-9.5 vs. 4.2-4.4), using the same number of wavelengths (4-8 vs. 4-6).
Co-Authors . Saputera . Sutrisno A. Trisnobudi Agus A Munawar Ahmuhardi Abdul Azis Alla Asmara Amin Rejo Amoranto Trisnobudi Angga Firmansyah Anggie Yulia Sari Arfandi Hermawan Aris Purwanto Aryanis Mutia Zahra Baihaqi Baihaqi Bambang Haryanto Bambang Haryanto Bambang Haryanto Bambang Haryanto BAMBANG S. PURWOKO Bambang S. Purwoko Deva Primadia Dheni Mita Mala Diego Mauricio Cano-Reinoso Dwi Dian Novita Dyah Wulandani Ei Mon Kyaw Elisa Eka Ari Purwanti Ningsih Elizabeth Sonya Lumbantoruan Emmy Darmawati Farida Kurniasari Fila Rodotul Jannah Fiona Hanberia Innayah Hadi K. Purwadaria Hadi K. Purwadaria Hadi K. Purwadaria Hafiz Fajrin Aditama handayani, yossi Haris Mawardi Harmi Andrianyta Herna Permata Sari I Dewa Made Subrata Indah Kurniasari Jajang Juansah Jajang Juansah Jati Sumarto Putro Jonni Firdaus KUDANG B. SEMINAR La Rianda LADY C. E. CH. LENGKEY Lady Lengkey Lalu Hendri Setiawan Mar'atus Sholihah mardiantono Mardiantono Mohamad Solahudin Nelwan, Leopold Oscar Nissa Adiarifia Noneng Fahri Nur Arifiya Okasyari, Chorida Omil Charmyn Chatib Putri Ayu Ira Distriani Ressy Angli Permatasari Rini Rosita Rizal Syarief Rizky Wiradinata Rizky Wiradinata Rokhani Hasbullah Ruri Wijayanti Samsudin Samsudin SEDARNAWATI YASNI Semin Semin Shinichiro Kuroki Siti Djamila Slamet Susanto Slamet Widodo Slamet Widodo Slamet Widodo Sobir Sobir Sri Agustina Sri Citra Yuliana Madi Sugiyono . Sugiyono . Sukrisno Widyotomo Suroso . Suroso . Suroso Suroso Sut risno Sutrisno SUTRISNO Sutrisno - Sutrisno . Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Tarisa Fadillah Titis Priyowidodo Trisma Rezeki Zairisman Usman Ahmad Vita N. Lawalata Wendianing Putri Luketsi Wiranda G. Piliang Y. Aris Purwanto Yohanes Aris Purwanto Yul Y Nazaruddin Yunisa Tri Suci