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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Warta IHP (Warta Industri Hasil Pertanian) Jurnal Irigasi Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Indonesian Journal of Electrical Engineering and Computer Science

Slamet Widodo

Department Of Mechanical And Biosystem Engineering, Bogor Agricultural University

Author-ID : 431345

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering

Published : 23 Documents Claim Missing Document

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EVALUASI MUTU BIJI MELINJO (Gnetum gnemon L.) MENGGUNAKAN PENGOLAHAN CITRA DIGITAL Slamet Widodo; Muhammad Kalili
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 7, No 2 (2018): Agustus
Publisher : The University of Lampung

Some studies show that melinjo (Gnetum gnemon L.) seed extract contains various active ingredients that are beneficial to human health; even it has been commercialized as a health supplement product. Quality of seeds as raw material becomes one of key factors that determine the quality of product derived from melinjo seed extract. Therefore sorting becomes a critical process. However the sorting of good quality and broken seeds (moldy, chalky and perforated/infected insects) is still done manually with visual observations that tend to be inaccurate and inconsistent. This study aims to develop a new method for evaluation of quality of melinjo seeds based on digital image processing. The image is taken using two lighting systems i.e. frontlight and backlight. The results show that using color features (RGB and HSV) and certain threshold values, good quality and broken seeds can be distinguished by 92.5% and 100% accuracy using frontlight and backlight image respectively. It indicates that digital image processing can be used as an alternative for quality evaluation of melinjo seed.

Sistem Kontrol Tinggi Muka Air Untuk Budidaya Padi - Nurfaijah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 10, No 2 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

This research aims to design a control system to keep the water level and soil moisture at a level that is suitable to the plant requirment and determines the optimum water level and soil moisture in each growth phase of paddy field cultivation. The water level control system was formed based on on-off controls system using Arduino Uno ATMega328P microcontroller. When the sensor gives input that the water level is below the set points, then microcontroller will command the irrigation valve to open and the drainage valve to close. The volume and time of irrigation and drainage control are dependent to set point. Set point was controlled based on water regime treatment. Water regime consisted of three treatments, which are wet regime (RB), slightly wet regime (RAB), and dry regime (RK). The research result showed that control system was very effective and efficient in controlling the water regime according to the control algorithms. Besides, the research result showed that the water regimes affected the plant growth, land productivity, and water productivity. Treatment of wet regime (RAB) gave the highest number of tiller (138 tillers), yield 194.7 g/hill (equal to 21 ton/ha with assumption of 30 cm x 30 cm spacing) and water productivity 3.16 kg/m3.

Evaluasi Koefisien Tanaman Padi Pada Berbagai Perlakuan Muka Air Nur Aini Iswati Hasanah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 10, No 2 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Paddy is the main agricultural commodity in Indonesia that needs a large amount of water. Accurate prediction of crop water use is essential to have an efficient irrigation system. The actual evapotranspiration (ETc) is an important factor for estimating water use. Moreover, crop coefficient (Kc) is one of the important parameters in ETc calculation. In this study, Kc of paddy is estimated by using experimental pots under various water tables treatments. The water table is controlled by using mariotte tube and set at -12 cm, -7 cm, -5 cm, -3 cm, 0 cm, and +2 cm from the soil surface. From the experimental sets, the value Kc is calculated by using modified water balance equation and Kalman Filter. The result shows that water table treatment in paddy farming influences soil moisture ( ) and soil temperature (Tsoil). Soil physic parameter fluctuation due to water table treatment affects the plant growth and potential evapotranspiration. Kc value at each water table treatment is different, and varies with plant growth phase. The average Kc for all water table treatments are 0.77-1.27 (initial season), 0.90-1.11 (crop development), 1.10-1.39 (mid-season), and 1.17-1.40 (late season).

Pengembangan Model Jaringan Saraf Tiruan untuk Menduga Emisi Gas Rumah Kaca dari Lahan Sawah dengan berbagai Rejim Air Chusnul Arif; Budi Indra Setiawan; Slamet Widodo; - Rudiyanto; Nur Aini Iswati Hasanah; Masaru Mizoguchi
Jurnal Irigasi Vol 10, No 1 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

The paper proposes the artificial neural networks (ANN) model to predict methane (CH4) and Nitrous Oxide (N2O) emissions under different irrigation system based on easily measurable environmental biophysics parameters such as soil moisture, soil temperature and soil electrical conductivity. To verify the model, two experiments were conducted in the pot experiments in two different locations. The first location was in the greenhouse of Meiji University, Kanagawa Prefecture, Japan from 4 June to 21 September 2012, and the second location was in water resources engineering laboratory, Department of Civil and Environmental Engineering-IPB from 2 July to 10 October 2014. In each location, there were three different irrigation systems adopted with the System of Rice Intensification (SRI) principles. We called the experiment as SRI Basah (SRI B1 and SRI B2 for the first and second locations, respectively), SRI Sedang (SRI S1 dan SRI S2) dan SRI Kering (SRI K1 dan SRI K2). Each treatment has different water level during growth stages. As the results, the developed ANN model can predict CH4 and N2O emissions accurately with determination coefficients of 0.93 and 0.70 for CH4 and N2O prediction, respectively. From the model, characteristics of those greenhouse gas emissions can be well identified. For the mitigation strategy, SRI B1 and SRI B2 treatments in which the water level was kept at nearly soil surface are the best strategy with highest yield production and lowest GHG emission.

Muka Air Optimum Pada System Of Rice Intensification (SRI) Nur Aini Iswati Hasanah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 12, No 1 (2017): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Controlling water table is the way to manage water in SRI paddy field. Farmers tend to apply different water table depend on their local water management practices. It may have different effect on plant growth that can be seen in the number of tillers. In this study, tiller development of SRI paddy was studied by using experimental pots under various water tables treatments. The water table is controlled by using mariotte tube and set at -12, -7, -5, -3, 0, and +2 cm from the soil surface. The result shows that soil moisture (Ɵ) were fluctuated due to intermittent irrigation and water table treatment. It affects the tiller growths rate that varied with average value 0.21-0.29 tiller/day. The first tiller appears at 18 days after transplanting (DAT). The tillers number keep increasing until reaching the highest number (around 63 to 72 DAT). This empirical study showed that setting water table at -5 cm under soil surface in SRI paddy cultivation is the best to reach high tiller number, and highest land and water productivity compare to another water table treatments. Consistency in producing tiller from beginning tiller production until the end of cultivation season could be seen from this treatment.

Optimal sensor location for adaptive control system in tropical smart greenhouse Folkes Eduard Laumal; Herry Suhardiyanto; Mohamad Solahudin; Slamet Widodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i3.pp1449-1457

The uniform control in greenhouse with technology capabilities is seemingly still difficult to be obtained due to the accuracy uncertainty of the data in certain locations. Considering this case, it is highly necessary to choose the right location for the sensor installation. This study aimed to determine sensor placement locations to support precision control activities, using an arch-type smart greenhouse measuring 8×24 m2 as the research location. Air temperature was calculated from 12 locations and analyzed for all possible combinations to designate the best sensor point according to the number of sensors. The analysis was conducted using the error-based method to ascertain the number and location of sensors that represent the smart greenhouse. The best location and number of sensors are identified with performance value under 10% and recommended for developing an adaptive control system.

The Deteksi Keaslian Beras Aceh Varietas Sigupai Menggunakan Portable Near-Infrared Reflectance Spectrometer Y. Aris Purwanto; Masyitah; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 11 No. 1 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.1.41-53

Sigupai is one of the local rice varieties that characterizes the Southwest Aceh district. This variety has many outstanding characteristics that make this variety a commodity that is in great demand and expensive. The existence of this variety is now challenging to find. The harvest age is long enough so that people rarely cultivate sigupai variety. As a result, many traders or farmers often practice adulteration, which will ultimately incur losses for consumers. The purpose of this study was to analyze the authenticity of sigupai rice based on non-destructive qualitative and quantitative analysis using a portable near-infrared spectrometer. Qualitative analysis used 86 samples consisting of 43 sigupai rice and 43 inpari rice, while quantitative analysis used 44 rice samples mixed between sigupai rice and inpari rice with a percentage of 0% - 30%. The two approaches were applied by partial least square-discriminant analysis (PLS-DA) and partial least square regression (PLS-R) for qualitative and quantitative analysis. Qualitative analysis using the partial least square-discriminant analysis (PLS-DA) method obtained the best results for validation data using original data with accuracy, sensitivity, specificity, and false alarm rate, respectively 89.29%, 92.86%, 85.71%, and 14.29%. At the same time, the quantitative analysis used the partial least squares regression (PLS-R) method. The best results were obtained using derivative SG1 pre-treatment with r = 0.96, SEC = 1.52%, SEP = 1.50%, RPD = 5.93, and consistency = 100.69%. From this study, the portable near-infrared spectrometer has the potential to be used as a tool for analyzing the authenticity of sigupai rice in the field.

Detection of Formalin Content in Chicken Meat Using Portable Near Infrared Spectrometer Agita Rakhmawati; Yohanes Aris Purwanto; Slamet Widodo; Dewi Apri Astuti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 4 (2023): December 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i4.831-839

Food safety is essential for consumers. One of the compound that are prohibited from being used to preserve chicken meat is formalin. It demands a fast classification and sorting process for chicken meat, whether it is processed further or not. The main objective of this research is to develop a model that can predict the formalin content of chicken meat at room temperature using a portable NIR spectrometer. The NIRS method utilizes electromagnetic waves in infrared radiation with wavelengths ranging from 740-1070 nm. The method used to process the data is partial least square discriminative analysis (PLS-DA) to determine the presence of formalin in chicken meat. The results showed that the best pre-treatment was using the 1st derivative which had calibration results with an accuracy value of 92.86%, sensitivity 94.05%, specificity 91.67%, and FPR 8.33%. While the validation results obtained an accuracy value of 92.86%, sensitivity 92.86%, specificity 92.86%, and FPR 7.14%. Keywords: Chicken meat, formalin, NIRS, non-destructive method, PLS-DA.

Performance Comparison of Two Portable Near-infrared Devices for Rapid Authentication of Aceh Aromatic Rice ‘Sigupai’ Slamet Widodo; Masyitah Masyitah; Yohanes Aris Purwanto; Akeme Cyril Njume
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.851-862

Sigupai rice, Indonesia local aromatic rice varieties grown in South-West region of Aceh, is highly valued for its fragrance and quality, making it susceptible to adulteration. This study compares the performance of two portable Near-infrared (NIR) devices, SCiO and NeoSpectra, for rapid authentication of Sigupai rice. We evaluated 86 samples for qualitative analysis (i.e. authentic vs adulterated rice) and 44 samples for quantitative analysis (i.e. the level of adulteration). For the qualitative analysis using partial least squares-discriminant analysis (PLS-DA), the best estimation model could differentiate authentic and adulterated samples with an accuracy, sensitivity, specificity, and false positive rates of 89.29%, 92.86%, 85.71% and 14.29% for the NeoSpectra and 97.44%, 100%, 94.87%, and 5.13% for the SCiO, respectively at the validation stage. For quantitative analysis using partial least squares-regression (PLS-R), the best estimation model could estimate the level of adulteration with a coefficient of determination (R²), RMSEP, RPD, and consistency values of 0.92, 1.50%, 5.93 and 100.69% for the NeoSpectra and 0.96, 1.31%, 6.83 and 104.78% for the SCiO. Both portable NIR devices could be used as a rapid analysis tool for the authenticity of Sigupai rice with high accuracy. However, in this study the SCiO device showed a better performance. Keywords: Portable NIR device, Authentication, Aromatic rice, Rapid analysis, Sigupai variety.

Rapid Analysis of ICUMSA Value of Cane Sugar Using Multi-Channel Spectra Sensor Based-Portable Device Fadilah Khairani; Mohamad Solahudin; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 12 No. 3 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.3.409-423

One of important quality parameters of white crystal cane sugar is its color measured as ICUMSA (International Commission for Uniform Methods of Sugar Analysis) color value. It is usually measured in laboratory through a complex and lengthy chemical analysis method. To overcome this challenge, this research tries to explore the potential use of multi-channel spectra sensors in UV-VIS-NIR regions as an alternative method to predict the ICUMSA value. The proposed portable device uses a AS7265X sensor as its main component. After that, measurements were made in the laboratory using standard methods as reference data. The result of the prediction with partial least squares (PLS) is R2 = 0,896, RMSEC = 0,072%, RMSEP = 0,103%, CV=26,09% and PRD = 3,10. Multiple linear regression (MLR) predictions are R2= 0,935, RMSEC=0,057%, RMSEP=0,090%, CV=20,64% and RPD = 3,92. The prediction of ICUMSA with an artificial neural network model (ANN) is R2=0,9996, RMSEC=0,004%, RMSEP=0,037%, CV=1,43% and the RPD value is 9,54. This shows that developed PLS, MLR and ANN are able to predict the ICUMA value, with ANN as the best model.

Co-Authors - Nurfaijah - Rudiyanto Agita Rakhmawati Ahmad Safrizal Akeme Cyril Njume Andi Muhammad Akram Mukhlis Anggie Yulia Sari Aris Purwanto Ayu Putri Ana Budi Indra Setiawan Bung Daka Putera Chusnul Arif DEWI APRI ASTUTI Didik M Rifqi Edy Hartulistiyoso Efi Toding Tondok Evi Savitri Iriani Evi Savitri Iriani Fadilah Khairani Febri Hasskavendo Folkes Eduard Laumal Hafiz Fajrin Aditama Herry Suhardiyanto I Wayan Budiastra Masaru Mizoguchi Masyitah Masyitah Masyitah Mohamad Solahudin Mu'minah Mustaqimah Muhammad Kalili Muhammad Naufal Rauf Ibrahim Nofiyanti, Sri Handayani Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Rizky Wiradinata Supijatno Supriyanto Supriyanto Sutan Muhammad Sadam Awal Tjahya Muhandri Tutik Lestari Usman Ahmad Widyaningrum Widyaningrum Widyaningrum Widyaningrum

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