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DESAIN HIGH FREQUENCY PWM MENGGUNAKAN CPLD DAN PEMANFAATAN SISTEM SEBAGAI KONTROL PADA DC-DC FLYBACK UP CONVERTER Kurniawan, Sigit; Sakti, Setyawan Purnomo
Physics Student Journal Vol 2, No 1 (2014)
Publisher : Department of Physics - Faculty of Science

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Abstract

Pulse Width Modulation (PWM) menjadi bagian yang tak terpisahkan dari kebanyakan sistem kontrol. Salah satu kegunaan dari PWM adalah sebagai pengontrol daya pada rangkaian konverter DC-DC/DC-AC. Penggunaan PWM dengan frekuensi tinggi selalu menjadi  alternatif untuk mengurangi besarnya ukuran trafo pada  konverter Flyback.  Frekuensi tinggi PWM  dapat dihasilkan jika mengunakan model pencacah dengan kemampuan menghitung cepat. Teknik pencacahan rising dan falling untuk model pencacah dirancang mampu menghasilkan  PWM dengan frekuensi lebih tinggi daripada teknik PWM yang dibangun pada mikrokontroller PIC16F87X. Besarnya frekuensi PWM yang dibangun pada komponen CPLD bergantung pada resolusi dan osilator kristal yang digunakan, nilai frekuensi yang mampu  dihasilkan untuk resolusi PWM 10 bit dan frekuensi osilator kristal 48 MHz pada arsitektur PWM yang telah dirancang adalah 93.5 kHz. Serta desain high frequency PWM pada komponen CPLD dapat digunakan sebagai  kontrol pada konverter Flyback untuk menaikkan tegangan DC dari 12V ke 400V.
PENGARUH KETEBALAN LAPISAN ZINC PHTHALOCYNINE (ZnPc) DI ATAS PERMUKAAN POLISTIREN/QCM TERHADAP SIFAT VISKOELASTIS BERDASARKAN NILAI IMPEDANSI Fitriani, Sukma Wahyu; Masruroh, Masruroh; Sakti, Setyawan Purnomo
Physics Student Journal Vol 2, No 1 (2014)
Publisher : Department of Physics - Faculty of Science

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Abstract

Pelapisan Zinc Phthalocynine (ZnPc) dilakukan untuk meningkatkan performa Quarzt Crystal Microbalance (QCM) sebagai biosensor. Deposisi lapisan ZnPc dilakukan menggunakan evaporator dengan variasi waktu deposisi 1 menit, 3 menit, 5 menit, 7 menit, dan 9 menit. Ketebalan lapisan ZnPc dihitung menggunakan modifikasi persamaan Saurbrey dan didapatkan hasil antara 0,103  - 0,502 . Uji sifat viskoelastis dilakukan menggunkan impedance analyzer hasil nilai impedansinya sebesar 15,7 Ω - 66,7 Ω.  Ketebalan berpengaruh terhadap nilai impedansi. Semakin tebal lapisan, maka nilai impedansi semakin besar. Pelapisan ZnPc di atas permukaan QCM menyebabkan energi disipasi osilasi QCM semakin besar sehingga nilai impedansi yang terukur semakin besar seiring semakin tebalnya lapisan. Nilai impedansi yang kecil bersesuaian dengan sifat lapisan yang kaku dan nilai impedansi yang besar bersesuaian dengan sifat elastis. Semakin tebal lapisan ZnPc yang terdeposisi akan memberikan efek redaman yang besar pada QCM.Kata kunci : QCM, ZnPc, ketebalan, impedansi, viskoelastis
Low-Cost Contact Angle Measurement System for QCM Sensor Setyawan Purnomo Sakti; Rizal Y Aji; Layli Amaliya; Masruroh Masruroh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.4981

Abstract

Hydrophobicity is one of the importance factors in the surface properties of materials. This work presents the development of a low-cost contact angle measurement system based on goniometric measurement using a low-cost digital camera, tilt control system for surface alignment and curvature approximation algorithm to determine the contact angle between the solid and spherical cap of a water droplet. The design is specifically targeted for measuring the contact angle of a Quartz Crystal Microbalance sensor in the form of HC-49/U with a disc diameter of 8.7mm.The contact angle measurement using goniometric measurement depends on the quality of captured image and calculation method for the angle determination. Proper alignment of the sample surface is required to minimize the discrepancy of the angle measurement of water drop surface profile caused by gravity. A PIC18F4550 microcontroller is used to control the motorized tilt platform to reduce the discrepancy between left and right contact angle value. Circle fit algorithm to determine the contact angle value from the captured image is used. Using the motorized tilt control system and circle fit algorithm, the developed contact angle measurement system able to measure the contact angle with discrepancy less than 1O.
Quartz Crystal Resonator Parameter Calculation Based on Impedance Analyser Measurement Using GRG Nonlinear Solver Setyawan Purnomo Sakti
Journal of Natural A Vol 1, No 2 (2014)
Publisher : Fakultas MIPA Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1311.567 KB)

Abstract

Quartz crystal resonator which is used as a basis for quartz crystal microbalance (QCM) sensor was modelled using many different approach. The well-known model was a four parameter model by modelling the resonator as a circuit composed from two capacitors, inductor and resistor. Those four parameters control the impedance and phase again frequency applied to the resonator. Electronically, one can measure the resonator complex impedance again frequency by using an impedance analyser. The resulting data were a set of frequency, real part, imaginary part, impedance value and phase of the resonator at a given frequency. Determination of the four parameters which represent the resonator model is trivial for QCM sensor analysis and application. Based on the model, the parameter value can be approximately calculated by knowing the series and parallel resonance. The values can be calculated by using a least mean square error of the impedance value between model and measured impedance. This work presents an approach to calculate the four parameters basic models. The results show that the parameter value can be calculated using an iterative procedure using a nonlinear optimization method. The iteration was done by keeping two independence parameters R0 and C0 as a constant value complementary. The nonlinear optimization was targeted to get a minimum difference between the calculated impedance and measured impedance.Keywords— QCM Sensor, four parameter model, impedance measurement.
Design of Cell Construction for Immunosensor Based Quartz Crystal Microbalance (QCM) Farida Wahyuni; Setyawan Purnomo Sakti; Unggul P. Juswono; Fenny Irawati; Nur Chabibah
Natural B, Journal of Health and Environmental Sciences Vol 1, No 4 (2012)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14.764 KB) | DOI: 10.21776/ub.natural-b.2012.001.04.2

Abstract

The biosensor is a sensor device that combines biological compounds with a transducer. One type of biosensor that uses mass change detection techniques are QCM (Quartz Crystal Microbalance). QCM is a sensor that works with the principle of quartz crystal frequency shift due to mass deposition on the surface of the crystal. QCM can be used to detect the reaction between the molecules, so that the QCM can serve as biosensors that can be used for the diagnosis of a disease. In the development of QCM immunosensor for there are many problems, one of which is the construction of the cell. Construction cells can be used as a reaction between biomolecules. Construction of cells made of white Teflon. To keep QCM sensors are not experiencing physical stress that can lead to rupture due to pressure from the Teflon o-ring is used as an insulating silicon. The results of this study indicate that the construction of the cells created can be used as a medium for immobilization of Bovine Serum Albumin observations (BSA) on the surface of the sensor.
Design of CO2 Gas Measuring System Arinto Yudi Ponco Wardoyo; Setyawan Purnomo Sakti; Didik Rahadi Santoso
Natural B, Journal of Health and Environmental Sciences Vol 1, No 1 (2011)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (62.105 KB) | DOI: 10.21776/ub.natural-b.2011.001.01.7

Abstract

Carbon dioxide (CO2) has been known well as a contributor gas for the global warming. Regarding the impact, the measurement of the CO2concentration in the air is very important for the assessment. This paper presents the design of a CO2 instrument built by using the components that are available in the market.  The instrument contains a CO2 sensor, an interfacing system, and a computer. The test showed that the instrument worked well. It could be used to measure a CO2 concentration on line and in real time. 
Development of Simple Bacterial Biosensor for Phenol Detection in Water at Medium Concentration using Glass Microelectrode Setyawan Purnomo Sakti; Sri Sugiarti; Unggul Punjung Juswono
The Journal of Pure and Applied Chemistry Research Vol 5, No 1 (2016)
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.794 KB) | DOI: 10.21776/ub.jpacr.2016.005.01.219

Abstract

Water is one of the most fundamental natural resources in earth. The availability of clean water becomes a global interest. Many human activities result in water pollution. One from many pollution substances in water is phenol. Phenol is a very common residual compound in industrial activity.  Extensive use of phenol in industry degrades water quality. Regulation has been set in many countries to prevent further damage to the water resource caused by phenol and limiting phenol concentration in water before released into the environment. Therefor it is importance to develop a sensor which can detect phenol concentration in water to be used as a wastewater quality control system. This paper presents a development of bacterial biosensor using Pseudomonas putida and Pseudomonas fluorescens as a biological sensitive material. The sensor was made from glass micro electrode using Ag/AgCl electrode as reference electrode, silver electrode and cellulose ester. The Pseudomonas putida was entrapped inside the nutrient solution and separated by cellulose ester membrane from water containing phenol. It was found that the Pseudomonas putida in used must be growth in 10 hours to reach its optimum growth condition. Linear relationship between biosensor output voltages to phenol concentration was measured for phenol concentration below 200 ppm. The sensitivity of the developed biosensor was 72mV/ppm for Pseudomonas putida and 68.8 mV/ppm for Pseudomonas fluorescens.
Preparation and characterization of poly-(methacrylatoethyl trimethylammonium chloride-co-vinylbenzyl chloride-co-ethylene dimethacrylate) monolith Eko Malis; Aprilia Nur Tasfiyati; Elvina Dhiaul Iftitah; Setyawan Purnomo Sakti; Akhmad Sabarudin
The Journal of Pure and Applied Chemistry Research Vol 4, No 2 (2015)
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (925.103 KB) | DOI: 10.21776/ub.jpacr.2015.004.02.214

Abstract

A polymer monolithic column, poly-(methacrylatoethyltrimethylammonium chloride-co-vinylbenzyl chloride-co-ethylene dimethacrylate) or poly-(MATE-co-VBC-co-EDMA) was successfully prepared in the current study by one-step thermally initiated in situ polymerization, confined in a steel tubing of 0.5 mm i.d. and 1/16” o.d. The monoliths were prepared from methacrylatoethyltrimethylammonium chloride (MATE) and vinylbenzyl chloride (VBC) as monomer and ethylene dimethacrylate (EDMA) as crosslinker using a binary porogen system of 1-propanol and 1,4-butanediol. The inner wall of steel tubing was pretreated with 3-methacryloxypropyl-trimethoxysilane (MAPS). In order to obtain monolith with adequate column efficiency and low flow resistance, some parameters such as total monomer concentration (%T) and crosslinker concentration (%C) were optimized. The morphology of this monolith was assessed by scanning electron microscopy (SEM). The properties of the monolithic column, such as permeability, binding capacity, and pore size distribution were also characterized in detail. From the results of the characterization of all monolith variation, monolith with %T 30 %C 50 and %T 35 %C 50 give the best characteristic. These monoliths have high permeability, adequate molecular recognition sites (represented with binding capacity value of over 20 mg/mL), and have over 80% flow through pores in their pore structure contribute to low flow resistance. The resulted monolithic columns have promising potential for dual mode liquid chromatography. MATE may contribute for anion-exchange while VBC may responsible for reversed-phase liquid chromatography.
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.