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All Journal Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Terapan Indonesian Journal of Electrical Engineering and Computer Science
Radi Radi
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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Implementation of an electronic nose for classification of synthetic flavors Radi Radi; Barokah Barokah; Dwi Noor Rohmah; Eka Wahyudi; Muhammad Danu Adhityamurti; Joko Purwo Leksono Yuroto Putro
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i3.3018

Abstract

Classification and identification of synthetic flavor become routine activities in the flavor and food industry due to its application. As a modern olfactory technology, electronic nose (e-nose) has the possibility to be applied in these activities. This study aimed to evaluate an e-nose for classifying synthetic flavors. In this study, an e-nose was designed with an array of gases sensors as the main sensing component and principal component analysis (PCA) for the pattern recognition software. This research was started with preparation of the hardware, continued with preparation of sample, data collection, and analysis. There were nine samples of synthetic flavors with different aroma, namely: grapes, strawberry, mocha, pandanus, mango, jackfruit, orange, melon, and durian. The data collection process includes three stages, i.e. flushing, collecting, and purging of 2 min, 3 min, 2 min respectively. These sensor responses were then analyzed for forming aroma patterns. Four pre-treatment methods were applied for the aroma pattern formation: absolute data, normalize of absolute data, relative data, and normalize of relative data. With the PCA for evaluation, the results showed that the absolute data treatment provided the best results, indicated from the distribution of aroma patterns that were grouped according to the type of samples.
Freshness assessment of tilapia fish in traditional market based on an electronic nose Radi Radi; Eka Wahyudi; Muhammad Danu Adhityamurti; Joko Purwo Leksono Yuroto Putro; Barokah Barokah; Dwi Noor Rohmah
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.3111

Abstract

This study evaluates an e-nose based on gas sensors to measure the freshness of tilapia. The device consists of a series of semiconductor sensors as detector, a combination of valve-vial-oxygen as sample delivery system, a microcontroller as interface and controller, and a computer for data recording and processing. The e-nose was firstly used to classify the fresh and non-fresh tilapia. A total of 48 samples of fresh tilapia and 50 samples of non-fresh tilapia were prepared and measured using the e-nose through three stages, namely: flushing, collecting, and purging. The sensor responses were processed into aroma patterns, then classified by two pattern classification softwares of principal component analysis (PCA) and neural network (NN). There were four methods for aroma patterns formation being evaluated: absolute data, normalized absolute data, relative data, normalized relative data. The results showed that the normalized absolute data method provides the best classification with the accuracy level of 93.88%. With this method, the trained NN was used to predict the freshness of 15 tilapia samples collected from a traditional market. The result showed that 60.0% of the samples are classified into fresh category, 33.3% are in the non-fresh category, and 6.7% are not included in both categories.
Soil porosity modelling for immersive serious game based on vertical angle, depth, and speed of tillage Anang Kukuh Adisusilo; Mochamad Hariadi; Eko Mulyanto Yuniarno; Bambang Purwantana; Radi Radi
International Journal of Advances in Intelligent Informatics Vol 4, No 2 (2018): July 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i2.215

Abstract

The real data support the “seriousness” of the serious game and give more authentic situations, which can make players feel immersed in scenarios, and gain a real experience. Therefore, the modeler must be able to recognize whether a model reflects reality to identify and deal with divergences between theory and data. In this paper, we present a model for design a basis of immersive in serious games. The studied case is the tillage using a moldboard plow, by taking real data through an experiment use a device called soil bin. It aims to determine the effect of angle, depth, and speed on the soil porosity; by comparing the value of the smallest error using the polynomial function of the use of different orders. The result of an average smallest error with the polynomial approach is 1.10E-07 in the 3rd order, closer to the experimental value. Therefore, the model can be used for designing immersive serious game.
PENGEMBANGAN ALAT TANAM JAGUNG TIPE TUGAL DALAM UNTUK LAHAN KRITIS Makbul Hajad; Radi Radi; Bambang Purwantana
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 2 (2021): Juni
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i2.129-138

Abstract

Blora and Grobogan are regions with higher production capacity of corn commodity compared to other regions in Central Java province. However, low number of technical irrigation and el-nino phenomenon have become the main threat for the sustainability of corn farming in both regions. During dry session, the top soil of the land are solidified which lead to higher difficulty for planting the corn seed using traditional tool. An improved design of the traditional seeder is then required to solve this problem to enable farmers plant corn seed during dry session. The objective of this research was to develop seeder prototype with “Tugal Dalam” type in Blora and Grobogan regions where the land have been categorized as marginal land during dry session. The proposed design is based on technical, ergonomic, economical, and social aspect. The qualitative approach was used to obtain the technical, ergonomical, economical and social aspect required by the farmer. Kansei Engineering is used to translate and evaluate the proposed design through some tests conducted on several group of farmers where they were requested to use 4 seeder design options and write their preference on each design option based on the mentioned aspects. Tests confirmed that the proposed design can be used to plant a corn seed at farmers desired characteristics. Kansei engineering also confirmed that ‘high speed’, ‘easy to operate’, ‘low price’, ‘easy to handle’ and ‘has a watering system’ were preferred by the farmers and determined their decision on buying and using the seeder tool. Keywords: kansei engineering,  marginal land, seeder development, tugal dalam
KARAKTERISTIK PROSES GASIFIKASI TEMPURUNG KELAPA MENGGUNAKAN UPDRAFT GASIFIER TIPE HISAP Icha Syahrotul Anam; Bambang Purwantana; Radi Radi
Jurnal Teknologi Terapan Vol 8, No 1 (2022): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v8i1.380

Abstract

Energy demand continues to increase in line with the increasing population which results in high energy consumption. Utilization of biomass waste such as coconut shells as an alternative energy source is very beneficial, because it can reduce dependence on fuel oil. One of the technologies that can be used to produce alternative energy is biomass gasification. The purpose of this study was to determine the character of the biomass gasification process using a suction type updraft gasifier with varying the size of the material and air flow rate. The biomass used was coconut shell with a moisture content of 8-10%. The research method used by varying the size of the material and the air flow rate. The weight of the material tested was 5 kg with additional 200 grams of charcoal. The results showed that coconut shell gasification using updraft gasifier with suction type was able to produce combustible gas with the characteristics of the gasification process including the effective gasification time of 15-21 minutes, gasification process temperature > 700° C, flame temperature 400-800° C, mass of charcoal and ash 138-223 grams, tar mass 38-95gram and effectiveness 25-94%. The flames characteristic at an air flow rate of 0.17m/s tend to be solid, at an air flow rate of 0.23 m/s the flames are high, and 0.3 m/s the flames are mostly filled with smoke. The highest effectiveness is achieved at a variation of 0.17 m/s, which indicates that with the increasing rate of incoming air, the effectiveness of gasification will be lower.
Optimization of Fooder Sorghum (Sorghum Bicolor L. Moench) Growth in a Closed Hydroponic System Through Combination of Red and Blue LED Lighting Radi Radi; Yuwan Nanda Adyatma; Makbul Hajad
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.v11i2.314-324

Abstract

Plant cultivation with a closed hydroponic system needs to be developed as a food production solution in the future. With this technology, plant growth parameters (including light parameters) can be adjusted according to needs so that plants can grow optimally. Red and blue light are needed for sorghum cultivation. This study aims to analyze the effect of the combination of red and blue LED lights on the growth of sorghum plants and determine the optimal ratio between the two light sources based on the plant growth rate in a closed hydroponic system. The plant growth parameters measured included plant height, stem diameter, number of leaves, leaf area, leaf color, wet weight, dry weight, water consumption, and morphology of sorghum plants. This research is conducted by constructing the nine combination of red and blue LED light with the control system placed inside each closed hydroponic box. The results confirmed that the use of red and blue LED light combinations has a significant effect on the growth rate of sorghum. The optimum combination of red and blue LED light is obtained from combination of R7:B1 with the conversion ratio of 9.53 kg fresh product per kg sorghum seed. Keywords: Closed Hydroponic System, Control Systems, Growth Optimization, Sorghum Plant, Red And Blue LED Light
Design of sample display system on electronic nose for synthetic flavor classification Barokah Barokah; Radi Radi; Luthfi Fadillah Zamzami; Andi Setiawan; Joko Purwo Leksono Yuroto Putro
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp690-698

Abstract

This study aimed to design a controlled sample display system on an electronic nose and test its performance for classifying synthetic flavors. There are four primary components to the electronic nose design. They are a controlled sample display system, detector, signal conditioning and preprocessing, and pattern recognition software. The sample display system consists of six vials. The sample room temperature setpoint is set to 40 ℃. The controlled sample display system has one heater and two fans to even the room temperature. The one-time data collection process consists of flushing (120 s), collecting (180 s), and purging (180 s). The samples for the performance test were synthetic flavors with four different aromas; durian, mocca, orange, and strawberry. Data analysis of gas sensor response was done through two stages; pre-treatment data processing and principal component analysis (PCA). The four samples were clearly different from others, according to the PCA results. The scores of the PC-1, PC-2, and PC-3 cumulative variance were 98.28%.
Arduino-Based Data Acquisition Device Design for Specific Heat Determination of Hot Vegetable Oil Redika Ardi Kusuma; Radi Radi; Arifin Dwi Saputro
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 1 (2023): March 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i1.118-128

Abstract

Vegetable oil is commonly used for cooking and frying at high temperatures. Information on the oil's specific heat in a process can help estimate the time and energy spent to reach a particular temperature. However, finding an accurate and affordable instrument for measuring specific heat at high temperatures was complex. This study aimed to design a prototype data acquisition device (DAQ) that can support the specific heat of high-temperature vegetable oil determination using the Joule experiment and Newton's correction. This study had two stages: prototype design/construction and prototype testing. The DAQ prototype consisted of a PZEM-003 power sensor, a PT100 temperature sensor, a relay, and an Arduino Mega 2560. The measurement results were displayed on an LCD and recorded in Microsoft data streamer. The prototype was tested by comparing the temperature, voltage, and current with commercial instruments resulting in accuracy and precision of 99.97% (99.95%), 99.97% (99.86%), and 99.99% (99.86 %), respectively. Performance tests showed that the specific heats of canola, corn, and sunflower oils at 100°C based on DAQ data analyzed separately were 2.119 J/kg.°C, 2.082 J/kg.°C, and 2.458 J/kg, respectively. The specific heat values were close to those in the reference, with an accuracy of 94.22%, 97.29%, and 99.80%, respectively. Keywords: ATmega2560, DAQ, Heat capacity, Hysteresis, Vegetable oil
Redesign and Performance Test of Liquid Fertilizer Based on Variable Rate Application on Chili Cultivation Andi Muh. Saldan; Radi Radi; Bambang Purwantana; Lilik Sutiarso
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.339-349

Abstract

Liquid fertilizer applicator based on Variable Rate Application (VRA) is a technology that is used to fertilize in a controlled and precise manner. This study aims to improve the effectiveness and efficiency of the fertilization process of chili plants. The development carried out is esp32 cam which serves to detect chili plants that lack elements. The method used is input of the nutritional needs of chili plants, spray doses of each plant, and a microcontroller to control applicator components such as sprayer pumps, selenoid valve, and esp32 cam. In this liquid fertilizer applicator there are 2 pipes, each pipe has 4 nozzles. The results of laboratory tests show that the discharge of liquid fertilizer sprayed follows the input results of the nutritional needs of chili plants. The discharge released on the PWM sprayer motor varies from 40 to 100% resulting in very different discharge variations in each PWM spray. The efficiency of this VRA-based liquid fertilizer applicator reaches 87% or an increase of about 14.7% from the applicator before development. Regression analysis of dimmer level to spraying discharge showed a function y = 6.3016x + 18.937 with an R 2 of 0.9921. While the regression analysis of the dimmer level of the applicator speed obtained the function y = 94.075x + 20.203 with an R2 of 0.9936. Keywords: Chili plants, Liquid, Fertilizer, Applicator, VRA.
Classification of Roasting Level of Coffee Beans Using Convolutional Neural Network with MobileNet Architecture for Android Implementation Isran Mohamad Pakaya; Radi Radi; Bambang Purwantana
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.v13i3.924-932

Abstract

The roasting process has a significant impact on the aroma profile and taste of coffee making it an essential stage in the coffee processing. Currently, the classification of coffee bean roasting levels still relies on subjective human visual assessment, which can lead to errors due to fatigue or negligence. To overcome this problem, a classification system was developed using computer vision technology with a deep learning approach. The present study designed a coffee bean roasting level classification system based on image analysis integrated within an Android application. The Convolutional Neural Network (CNN) model with the MobileNet architecture was used to identify and classify coffee beans based on their roasting level. Two CNN models, namely CNN Alpha and CNN Beta were used in this study. The dataset included 1.600 coffee bean images, with 1.200 images used to train the model and 400 images used to test the accuracy. In this experiment, the input image had an optimal size of 70x70 pixels, a learning rate of 0.0001, and 100 epochs for both models. The model training and testing results in the highest accuracy of 98-88% in 6.40-0.0012 minutes.The application test results obtained 93.55% accuracy, 97.06% precision, and 96.67% recall. These results indicate that this model and application function optimally in classifying coffee bean roasting levels accurately. Overall, this study reveals the potential of integrating CNN with the MobileNet architecture into an Android-based application to change the way of roasting level classification, as well as to improve efficiency and accuracy. Keywords: Coffee, Roasting, Convolutional Neural Network, MobileNet, Android.
Co-Authors Anang Kukuh Adisusilo Andi Muh. Saldan Andi Setiawan Arifin Dwi Saputro, Arifin Dwi Bambang Purwantana Barokah Barokah Dwi Noor Rohmah Eka Wahyudi Eko Mulyanto Yuniarno Icha Syahrotul Anam Isran Mohamad Pakaya Joko Purwo Leksono Yuroto Putro Lilik Sutiarso Luthfi Fadillah Zamzami Makbul Hajad Mochamad Hariadi Muhammad Danu Adhityamurti Muhammad Hafidz Syahputra Raditya Yulianta Redika Ardi Kusuma Sri Markumningsih, Sri Yuwan Nanda Adyatma