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Journal : Jurnal Keteknikan Pertanian

Studi Model Kinetika Ekstraksi Berbantu Ultrasonik pada Lada (Piper nigrum L.) Anggie Yulia Sari; I Wayan Budiastra; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 9 No. 3 (2021): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.09.3.127-134

Abstract

Ultrasonic Assisted Extraction (UAE) is used to extract oleoresin from pepper that offer a competitive method compared to maceration. This research was aimed to study and to validate a second order of kinetics model of UAE white pepper extraction that can describe the relationship between oleoresin yield, UAE amplitude, and extraction time. Pepper is milled to particle size of 100 mesh. Then the 200 g of powder of pepper is poured to ethanol of 800 ml (1:4) to subjected to UAE extraction. A maceration process is also carried out as control. Amplitude and extraction times used in the UAE extraction are 45, 60, 75, and 90%; and 45, 60, 75, and 90 minutes. The value of white pepper oleoresin concentration experiment (Ct) with model calculations is closely related to the extraction capacity at saturation (Cs) and the resulting extraction rate constant (k). The value of Cs between 29,24–34,48 g/l and the value of k ​​between l/g.minute. The results from the two Ct obtained produce a correlation coefficient value of 0.85 and the error value between 0,18–14,09 %. The second-order kinetic model developed can be used to predict the yield of UAE-assisted white pepper oleoresin with UAE amplitude limit conditions of 45–90 % and extraction time of 45–90 minutes.
Prediksi Indeks Panen Jambu “Kristal” secara Non Destruktif Menggunakan Portable Near Infrared Spectrometer Ayu Putri Ana; Y. Aris Purwanto; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 9 No. 3 (2021): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.09.3.103-110

Abstract

“Crystal” guava (Psidium guajava L.) is a climacteric fruit that is generally harvested by farmers based on cultivation experience. In this study, portable 740-1070 nm of near-infrared spectrometer was employed to rapidly predict harvest indices of “crystal” guava, by means of non-contact and non-destructive approach. Samples of guava fruit were collected at days after anthesis (DAS) of 91, 94, 97, and 100. The total number of each sample were 30 fruits. The firmness, soluble solid content, acidity and sugar acid ration were evaluated as quality parameters. Partial least square (PLS) method was utilized for data processing. It was found that Standard Normal Variate (SNV) resulted the best pre-processing for all quality parameters. Performances of best models were demonstrated by coefficient of corraltion (R), standard error of calibration (SEC) and standard error of prediction (SEP), which were respectively 0.88, 6.21, 5.92 for firmness prediction, 0.74, 0.84, 0.79 for soluble solid content prediction, 0.59, 0.19, 0.26 for acidity prediction, and 0.71, 1.21, 1.58 for sugar acid ratio prediction model.
Portable/Handheld NIR sebagai Teknologi Evaluasi Mutu Bahan Pertanian secara Non-Destruktif Widyaningrum Widyaningrum; Yohanes Aris Purwanto; Slamet Widodo; Supijatno; Evi Savitri Iriani
Jurnal Keteknikan Pertanian Vol. 10 No. 1 (2022): April 2022
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.010.1.59-68

Abstract

The development of NIR technology has now reached a higher level. The transition from chemical analysis which requires a lot of time and money makes NIR technology as a technology option that is efficient, fast and does not produce waste residues. Initially, the NIR was made in a benchtop type with a large size, but now it has developed into a handheld and portable NIR. This is based on the need to detect the content of agricultural materials in real-time in the field which is not possible with benchtop NIR. The use of handheld/portable NIR technology is widely applied in agriculture to measure water content, soluble solid contents, pH, mechanical properties of agricultural materials and so on. Portable/handheld NIRs have small dimensions and are light in weight so as to provide convenience in conducting direct analysis compared to using a large benchtop type NIR. However, the accuracy, measurement sensitivity, noise level, and optical reading stability are not better than benchtop NIR. So that the potential for developing portable/handheld NIRs as IoT-based sensing instruments is still open to be done.