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All Journal International Journal of Electrical and Computer Engineering Majalah Ilmiah Teknologi Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Physics Student Journal Jurnal EECCIS Journal of Natural A Natural B The Journal of Pure and Applied Chemistry Research Jurnal Fisika Unand ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Science and Technology Indonesia al Kimiya : Jurnal Ilmu Kimia dan Terapan Majalah Ilmiah Teknologi Elektro
Setyawan Purnomo Sakti
Department Of Physics, Brawijaya University, Malang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Medicine & Pharmacology Physics

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Long term temperature stability of thermal cycler developed using low profile microprocessor cooler Setyawan Purnomo Sakti; Adin Okta Triqadafi; Aldi Dwi Putra; Triswantoro Putro; Dewi Anggraeni
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp278-287

Abstract

Developing a low-cost thermal cycler for a polymerase chain reaction (PCR) is becoming interested in the pandemic era caused by viruses. PCR is the standard gold for the diagnostic. However, in a low-income country, the availability of the device is limited. In this work, the development of a thermal cycler uses electronic modules available in the market. The central part is thermoelectric for heating and cooling, an embedded system to control, and a low-profile cooling fan. The system temperature control used a combination of feedforward, bang-bang, and proportional-integral-derivative (PID) control. The control parameter of the PID was successfully obtained by using Chien servo tuning. The feedforward and bang-bang control are used to optimize the cooling cycle and minimize the rise time. The system shows a well-suited temperature accuracy at the denaturation, annealing, and extension temperature with a temperature deviation of less than 0.5 °C. System performance is maintained even though the system has been running non-stop for 24 hours. The low-profile cooling fan, which is usually used for CPU cooling, shows good results in maintaining temperature stability.
Identification of CO2 , SO2 , and a Mixture of Both Gases Using Optical Imaging Combined with Convolutional Neural Network (CNN) Salamah, Umi; Sakti, Setyawan Purnomo; Naba, Agus; Soetedjo, Hariyadi
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.371-379

Abstract

CO2 and SO2 gases are utilized in various industrial applications and are subjects of environmental research. However, these gases are considered toxic and pose dangers at certain concentrations. Therefore, it is crucial to monitor and control the exposure to these gases in the environment to prevent reaching hazardous levels that could endanger both humans and the environment. A non-contact detection and monitoring system is essential to minimize the adverse effects of direct gas exposure. In this research, a non-contact detection system for CO2, SO2, and mixed gases was developed using optical imaging analysis generated by infrared cameras. The images were captured using the FLIR Vue Pro-R infrared camera, with infrared absorbing gas sourced from a 50-watt tungsten lamp. Visual identification of these gases through optical imaging is challenging; however, this study successfully identified these gases using a Convolutional Neural Network (CNN). The CNN architecture used in this study is DenseNet (Densely Connected Convolutional Networks), comprising 169 convolution layers. The CNN model was trained and tested on experimental optical imaging data, categorized into three classes: CO2, SO2, and a mixture of gases. A total of 1030 optical imaging data points were utilized for training. Training was conducted using the AdamW optimization function over 28 epochs. The evaluation of results yielded accuracy, precision, recall, and F1-score metrics. The novelty of this study lies in the successful identification of CO2, SO2, and their mixture by the CNN model with an accuracy of 85%. Precision, recall, and F1-score values are all 0.85. These results indicate that the CNN model effectively distinguishes optical imaging of each gas (CO2, SO2, and their mixture) consistently and accurately. Consequently, it can be concluded that the CNN model performs well in distinguishing between these gases in optical imaging analysis.
Pengembangan Sistem Embedded Berbasis ARM CORTEX M7 untuk Pengukuran Frekuensi Sensor QCM Portable Lalu Sahrul Hudha; Didik Rahadi Santosa; Setyawan Purnomo Sakti
Jurnal Teknologi Elektro Vol 16 No 3 (2017): (September - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2017.v16i03p21

Abstract

In general, measurement using QCM sensor consists of oscillator, frequency counter, power supply, computer dan monitor. The result of measurement using QCM is usually presented in graph of frequency and time that calls sensogram. In order to make the measurement system more practical, there is a need to develope an embedded system. We developed a portable system which consist of a 32-bit microcontroller, frequency counter, display and data storage. The core microcontroller for the portable system is the ARM-Cortex-M7. The developed embedded system ables to measure the frequency of the sensor, displayed the data and simultaneously store the recorded data in a microSD. These functions are developed inside STM32F746NG by using Real Time Operating System. The freeRTOS was selected as the operating system.
Rancang Bangun Sistem Pembatas Arus Daya Kecil Tegangan 220VAC Berbasis Mikrokontroller Setyawan Purnomo Sakti
Jurnal Teknologi Elektro Vol 15 No 1 (2016): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2016.v15i01p18

Abstract

Indonesia terletak di sepanjang garis khatulistiwa. Oleh karena itu, wilayah Indonesia mendapatkan radiasi matahari yang relatif konstan sepanjang tahun. Pembangkit listrik tenaga surya (PLTS) dari sel foto listrik adalah salah satu yang menjadi perhatian pemerintah Indonesia untuk meningkatkan tingkat kelistrikan, terutama di daerah terpencil. PLTS terpusat saat ini telah dipasang diberbagai daerah terpencil dengan perumahan terkonsentrasi. Umumnya, kapasitas daya listrik yang dihasilkan sangat terbatas. Kapasitas yang dihasilkan adalah sampai beberapa kilowatt, sehingga distribusi tenaga listrik untuk perumahan terbatas. Penggunaan daya beban yang berlebihan menjadi salah satu masalah dalam keberlanjutan pasokan listrik dari PLTS. Sistem ini membutuhkan limiter arus dengan batas yang sangat rendah. Pembatas arus yang tersedia secara komersial membatasi aliran dengan kapasitas terkecil sebesar 0,5A. Pembatas arus ini tidak dapat digunakan dalam distribusi tenaga listrik dari PLTS, karena saat ini PLTS membatasi lebih arus kurang dari 0,5A. Untuk keperluan penerangan dan peralatan listrik yang kecil, daya listrik yang dapat disampaikan dengan aman dari generator tenaga surya kurang dari 100 Watt atau kurang dari 0,5A. Oleh karena itu pembatas arus yang sangat rendah untuk membatasi penggunaan listrik untuk rumah tangga telah dikembangkan menggunakan mikrokontroler dan sensor arus jenis transformator. Sistem yang dikembangkan dapat membatasi daya listrik hingga 100 Watt dengan akurasi hingga 0,16 Watt. Batas daya listrik dapat diatur dalam kode program mikrokontroler.DOI: 10.24843/MITE.1501.18
Desain ADC SAR 10-Bit Dua Kanal Simultan menggunakan Board FPGA Altera DE10 NUHA, MUHAMMAD ULIN; DHARMAWAN, HARI ARIEF; SAKTI, SETYAWAN PURNOMO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 1: Published January 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i1.16

Abstract

ABSTRAKDesain arsitektur ADC (Analog to Digital Converter) multi kanal simultan pada perangkat kontroller dapat mengurangi jumlah intruksi (task) program yang harus dijalankan oleh mikroprosessor dan dapat digunakan untuk membentuk pengukuran simultan. Paper ini memaparkan desain ADC SAR (Successive Approximation Register) 10-bit dua kanal simultan menggunakan Board FPGA (Field Programmable Gate Array) Altera DE10. FPGA dikonfigurasi untuk difungsikan sebagai sirkuit logika SAR dua kanal menggunakan bahasa VHDL (VHSIC-Very High Speed Integrated Circuit Hardware Description Language). Hasil pengujian menunjukkan kanal ADC_1 dan ADC_2 memiliki tingkat kesalahan rata-rata sebesar 1.05 % dan 0.90 %, tingkat akurasi sebesar 98.95 % dan 99.09 %, tingkat linearitas dengan koefisien korelasi sebesar 0.9999 dan 0.9999. Durasi waktu yang dibutuhkan dalam satu kali proses konversi ADC yaitu 104 μs. Didapatkan sampling-rate sebesar 9.6 KS/s. Daya yang dikonsumsi sebesar 842 mW. Kedua kanal ADC SAR yang telah dibuat mampu bekerja secara simultan.Kata kunci: ADC, dua-kanal simultan, FPGA, SAR, VHDL ABSTRACTDesing of simultaneous multi-channel ADC (Analog to Digital Converter) architecture on the controller device can reduce the number of program instructions (tasks) that must be executed by microprocessor and can be used to form simultaneous measurements. This paper describes design of simultaneous two channel 10-bit SAR (Successive Approximation Register) ADC by using Board FPGA (Field Programmable Gate Array) Altera DE10. FPGA is configured using VHDL (VHSIC-Very High Speed Integrated Circuit Hardware Description Language) language to function as two channels SAR logic circuit. Test results show that ADC_1 and ADC_2 channels have average error of 1.05% and 0.90%, accuracy of 98.95% and 99.09%, linearity level with correlation coefficient of 0.9999 and 0.9999. Time duration in one ADC conversion process is 104 μs. The sampling rate obtained is 9.6 KS/s. Power consumed is 842 mW. Design of two channels SAR ADC that has been made can work simultaneously.Keywords: ADC, two-channels simultaneous, FPGA, SAR, VHDL
THE ARTIFICIAL NOSE-BASED PMMA-rGO COMPOSITE COATED QCM SENSOR TO SNIFF COFFEE AROMA AT DIFFERENT ROASTING DEGREE Nalle, Ferry Chrismiadi; Sabarudin, Akhmad; Sakti, Setyawan Purnomo
al Kimiya: Jurnal Ilmu Kimia dan Terapan Vol 11, No 2 (2024): al Kimiya: Jurnal Ilmu Kimia dan Terapan
Publisher : Department of Chemistry, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ak.v11i2.40381

Abstract

The quality of a product, including coffee, can be determined by its aroma, which is influenced by various chemical compounds. Human olfactory-based assesment and other technologies have been developed to assess coffee aroma; however, these methods are often costly and require highly trained professionals. Gravimetric-based sensors, such as quartz crystal microbalance (QCM) sensors, offer high sensitivity, ease of use, and the capacity to modify their effective surface with nanomaterials. In this research, an artificial nose-based QCM sensor has been modified using a material-sensitive polymethyl methacrylate-reduced graphene oxide (PMMA-rGO) composite.The composite materials were synthesised using an in-situ polymerisation method in the presence of dual solvent. IR characterisation revealed PMMA and PMMA-rGO spectra to be highly similar, suggesting successful trapping of rGO within the PMMA matrix via physical interaction. Increasing the content of rGO resulted in a slight increase in the surface roughness of the QCM sensor.The composite-based QCM sensor demonstrated the capacity to detect coffee aroma at three distinct roasting temperatures (220℃, 225℃, and 230 ℃). The highest response was observed in sample PR1, with a value of -35.2 Hz (220℃), -44.3 Hz (225℃), and -83 Hz (230℃) for the variation in the amount of rGO in the polymer matrix. The presence of rGO with their surface area properties enhanced the QCM sensor to detect coffee aroma.
THE ARTIFICIAL NOSE-BASED PMMA-rGO COMPOSITE COATED QCM SENSOR TO SNIFF COFFEE AROMA AT DIFFERENT ROASTING DEGREE Nalle, Ferry Chrismiadi; Sabarudin, Akhmad; Sakti, Setyawan Purnomo
al Kimiya: Jurnal Ilmu Kimia dan Terapan Vol. 11 No. 2 (2024): al Kimiya: Jurnal Ilmu Kimia dan Terapan
Publisher : Department of Chemistry, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ak.v11i2.40381

Abstract

The quality of a product, including coffee, can be determined by its aroma, which is influenced by various chemical compounds. Human olfactory-based assesment and other technologies have been developed to assess coffee aroma; however, these methods are often costly and require highly trained professionals. Gravimetric-based sensors, such as quartz crystal microbalance (QCM) sensors, offer high sensitivity, ease of use, and the capacity to modify their effective surface with nanomaterials. In this research, an artificial nose-based QCM sensor has been modified using a material-sensitive polymethyl methacrylate-reduced graphene oxide (PMMA-rGO) composite.The composite materials were synthesised using an in-situ polymerisation method in the presence of dual solvent. IR characterisation revealed PMMA and PMMA-rGO spectra to be highly similar, suggesting successful trapping of rGO within the PMMA matrix via physical interaction. Increasing the content of rGO resulted in a slight increase in the surface roughness of the QCM sensor.The composite-based QCM sensor demonstrated the capacity to detect coffee aroma at three distinct roasting temperatures (220℃, 225℃, and 230 ℃). The highest response was observed in sample PR1, with a value of -35.2 Hz (220℃), -44.3 Hz (225℃), and -83 Hz (230℃) for the variation in the amount of rGO in the polymer matrix. The presence of rGO with their surface area properties enhanced the QCM sensor to detect coffee aroma.
Optimasi Parameter PID Pada Sistem Kontrol Suhu Alat Roasting Biji Kopi Dewi Anggraeni; Saputra, Aditya Ilham; Sakti, Setyawan Purnomo
Jurnal Fisika Unand Vol 14 No 2 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.2.145-151.2025

Abstract

Coffee is an important commodity for Indonesia. This huge potential must be utilized optimally. One of the important stages in processing coffee beans is the process of roasting coffee beans. This research focuses on optimizing PID control parameters on coffee bean roasting equipment. The main stages in determining PID control parameters are carried out using MATLAB's PID Tuner and also the process of improving the parameter values. From this research it can be concluded that the PID parameters to improve the temperature control performance of coffee roasting equipment, in the temperature ranges of 210 °C, 215 °C, 220 °C, 225 °C, and 230 °C indicate that the PID parameters have been improved (Kp = 5, Ki = 0.017, and Kd = 2) has better performance compared to parameters obtained directly from PID Tuner Matlab (Kp = 33.4, Ki = 1, and Kd = 4.74). Parameters that have gone through the refinement process show a fairly fast rise time (123 seconds), small overshoot (2.8 °C) and no significant oscillations occur in the system. Thus, it can be concluded that the use of refined PID parameters is more optimal for controlling temperature in coffee bean roasting equipment, because it produces a better system response. By improving the PID parameter values, it is hoped that it can produce roasted coffee beans with accurate variations in maturity levels, so that users can determine the desired taste and aroma characteristics of coffee based on the maturity level.
Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer Achmad Nurul Fauzie; Setyawan Purnomo Sakti; Rahmadwati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1672

Abstract

Gaussian filters are widely used in image processing applications, such as edge detection, segmentation, and feature extraction. However, computationally intensive computations can take a long time to process large images. Therefore, a parallel algorithm implementation is necessary to accelerate the process. The authors proposed the use of Orange Pi SBCs for parallel image processing tasks involving a Gaussian filter. This paper outlines the steps for implementing a parallel Gaussian filter on a cluster of SBCs. The performance of the parallel implementation was evaluated in terms of speedup and efficiency, which are essential parameters for measuring the effectiveness of the approach. The parallel implementation speedup is described as the ratio of the time required by the serial implementation to that required by the parallel implementation. The parallel implementation efficiency is described as the speedup ratio of the number of SBCs in a cluster. The results of the performance evaluation show that the parallel implementation of the Gaussian filter on a cluster of Orange Pi SBCs can achieve significant speedup and efficiency compared to the serial implementation. The speedup increases with the number of SBCs used in the cluster. Using four SBCs can result in a speedup of up to 2.1 times faster than serial implementation. The efficiency also increases with the number of SBCs used in the cluster. Using four SBCs could achieve an efficiency of up to 53.4%.
Co-Authors Achmad Nurul Fauzie Adin Okta Triqadafi Agus Naba Akhmad Sabarudin Akhmad Sabarudin Aldi Dwi Putra Aprilia Nur Tasfiyati Arinto Yudi Ponco Wardoyo Dewi Anggraeni Didik Rahadi Santosa Didik Rahadi Santoso Eko Malis Elvina Dhiaul Iftitah Farida Wahyuni Fenny Irawati Hari Arief Dharmawan Hariyadi Soetedjo Lalu Sahrul Hudha Layli Amaliya Masruroh Masruroh Masruroh MASRUROH MUHAMMAD ULIN NUHA Nalle, Ferry Chrismiadi Nur Chabibah Rahmadwati Rizal Y Aji Saputra, Aditya Ilham Sigit Kurniawan Sri Sugiarti Sukma Wahyu Fitriani, Sukma Wahyu Triswantoro Putro Umi Salamah Unggul P. Juswono Unggul Punjung Juswono