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All Journal TEKNIK Jurnal Simetris Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Prosiding Semnastek Proceeding SENDI_U E-Dimas: Jurnal Pengabdian kepada Masyarakat SAINS TANAH - Journal of Soil Science and Agroclimatology Empowerment : Jurnal Pengabdian Masyarakat IKRA-ITH ABDIMAS Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Mattawang: Jurnal Pengabdian Masyarakat International Journal of Engagement and Empowerment (IJE2) Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Empowerment: Jurnal Pengabdian Masyarakat Jurnal Lemhannas RI ABDINE Jurnal Pengabdian Masyarakat Educational Journal of Islamic Management (EJIM) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Elektro Kontrol (ELKON) Digitus : Journal of Computer Science Applications
Budi Gunawan
Universitas Muria Kudus
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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

 1 
The Application of General MOS Gas Sensors for Discriminating Formalin Content Arief Sudarmaji; Budi Gunawan; Shoufika Hilyana; Henry Fernando; Agus Margiwiyatno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10363

Abstract

This paper describes the application of Metal Oxide Semiconductor (MOS) gas sensors which are intrinsically designed to sense volatile compounds for measuring the vapor of formalin. We utilized 7 commercial MOS gas sensors (namely TGS-2600, TGS-2602, TGS-2620, TGS-813, MQ-137, MQ-135, and MQ-5) to sense formalin in certain concentrations and their presence in meat. We built a static headspace system to measure the vapor of formalin. The sensor chamber is 540-cm3, made from 5 mm acrylic. The output of MOS (Sensitivity ratio) is acquired into computer using an Arduino-based interface. We tested 3 concentrations of formalin (10%, 20% and 30%) and their presence in meat. We found that individually each sensor provides proportional response to formalin concentrations, and for their presence in meat as well. The Principle Component Analysis (PCA) method is used to show performance of the array MOS sensor in discriminating the formalin contents. The PCA result shows that by using two PCs (holding most 96% data), it can clearly distinguish the three formalin contents. However the array sensors just can discriminate clearly between meat containing formalin and those not. The success rate of discrimination the formalin contents in meat is 91.7%.
MOS gas sensor of meat freshness analysis on E-nose Budi Gunawan; Salman Alfarisi; Gunanjar Satrio; Arief Sudarmaji; Malvin Malvin; Krisyarangga Krisyarangga
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11787

Abstract

The high demand of meat causes the seller mix the fresh and not-fresh meat. Electronic nose was used to detect the quality of the meat quickly and accurately. This research is proposed to test and analyze the sensitivity of MOS sensor in the electronic nose and simulate it using Matlab to identify meat classification using neural network. Test parameters based on Indonesian National Standard (SNI 3932-2008) requirement on the quality of carcass and meat. In this simulation, the number of neurons in the hidden layer was varied to find the most accurate identification. The sensitivity analysis of the MOS sensor was conducted by testing the meat sample aroma, calculate the sensitivity, identify the formation of input, hidden layer, outputs, and simulate the result of the varied formation. Then, found the number of the most optimal neurons. The result of the data training will be applied to the real instrument.
Planning of Energy Saving with Cogeneration System Imam Abdul Rozaq; NYD Setyaningsih; Budi Gunawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.5651

Abstract

PT Dua Kelinci is one of the largest food industries in Pati Regency one of whose products is egg peanut which needs huge electric and heat energy so that energy saving needs to be done. One of the efforts of energy saving is by conducting cogeneration (merging between electric and heat). This research started from a data collection, i.e. finding out the need of electricity and heat in the process of egg-peanut manufacture by a cogeneration technology at PT Dua Kelinci. The research method includes technical analysis and economic analysis. From the technical analysis, it is found that the electric energy saving by using cogeneration 103.680 kW and the heat energy saving is 4,075 TJ/year. From the economic analysis it is seen that before using cogeneration the cost that should be expended is USD 75.209,61 while after using cogeneration the cost is USD 60.6014,04 therefore from the economic aspect there is energy saving as much as USD 15.19,57/year.
The Use of Polymer Based Gas Sensor for Detecting Formalin in Food Using Artificial Neural Network Budi Gunawan; Arief Sudarmaji
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.6164

Abstract

The usage of formalin as preservative substance in food is dangerous and make much threat to public society. Yet, it is difficult to identify the presence of formalin in food sensory. It commonly requires laboratory-based testing to detect the formalin. This work describes a detector system of formalin presence in food which employs a series of polymer-based gas sensor and uses a neural network detection method. The sensors are the polymer-carbon composite which made of the polymer mixed with active carbon. There are four types of polymer used, i.e. Polyethylene Glycol (PEG) 6000, PEG200, PEG20M, and PEG1450. The polymer-carbon composite provided a unique characteristic when it is exposed to vapor of food with or without formalin. The resistance of each polymer is different for each detected vapor. The combination of those sensors gives a pattern of voltage output on the sensors when they are exposed certain gas so that every gas has its unique output pattern. The method of detection uses an algorithm of back-propagation of the neural network. That voltage pattern of sensors serves as input to an artificial intelligence program. The result shows that the system has the accuracy of 75% in detecting formalin in food.
Characterization of Polymeric Chemiresistors for Gas Sensor Budi Gunawan; Muhammad Rivai; Hendro Juwono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 2: June 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i2.795

Abstract

Polymer is a non conductive materialthat can be conductive with carbon black filler to form polymer-carbon composite. polymer-carbon composite’s resistance changes with gas. The conductivity of polymer-carbon composite is influenced by several factors,i.e. type of gas, volume of gas, temperature and humidity.. This research characterizes the polymer-carbon composite sensor from 6 types of polymers: PEG6000, PEG20M, PEG200, PEG1540, Silicon and Squelene. The sensors are treated with Aceton, Aceton Nitril, Benzene, Etanol, Methanol, Ethyl Aceton, Chloroform, n-Hexan and Toluene. This characterization are grouped into 4 cluster according to their selectivity, sensitivity, influence of temperature and humidity. sensors are put in an isolated chamber which is connected to data acquisition with the  variations of temperature, humidity, type and volume of gas. Correspondence analysis and regression are used to process the data. Test results found that each sensor showed different sensitivity and selectivity towards particular type of gas. Resistance of sensors increases with rising temperature and humidity environment with  order 2 and order 3 polynomial equation 
Co-Authors Achmad Ridwan Agus Margiwiyatno Ahmad Jazuli Ahmad Jazuli Ahmad Syahroni, Ahmad Arief Sudarmadji Arief Sudarmadji Arief Sudarmaji Arief Sudarmaji Arief Sudarmaji Arief Sudarmaji Arini, Nindya Budiman, Nita Adriyani Cornelius Siagian, Ruben Dedy Noor Ahwan Diah Ayu Susanti Diana Laily Fithri Djoko Purnomo Dyna Marisa Khairina F. Shoufika Hilyana Fajar Nugraha Fajar Nugraha Gunanjar Satrio Hadi Supriyo Hadi Supriyo Heliza Rahmania Hatta, Heliza Rahmania Hendro Juwono Hendy Hendro Hadi Sridjono Hendy Hendro, Hendy Henry Fernando Heru Saputro Imam Abdul Rozaq Kertati Sumekar Krisyarangga Krisyarangga Luqman Afian Noor Afandi Malvin Malvin Mamik Indaryani Maria Theresia Sri Budiastuti Marthalia, Lia Mirza, Hasyrul Moh Dahlan Moh Dahlan Moh Dahlan Moh. Dahlan Mohammad Dahlan, Mohammad Mohammad Iqbal muhammad alawy rosyid Muhammad Rivai Mukhamad Nurkamid Mukhammad Nurkhamid Nita Andriani Budiman Nita Andriyani Budiman NYD Setyaningsih R Rhoedy Setiawan Rajagukguk, Michael RAmadhani, Indri Anugrah Ratri Rahmawati Risnawati, Heni Rochmad Winarso Sa'adah, Miftakhus Salman Alfarisi saputro, heru Saromah Setyaningsih, Noor Yulita Sitorus, Anwar T Solekhan Solekhan Sri Mulyani Sri Mulyani Sugeng Slamet Sulistyowati Sulistyowati Supari Supari Tangguh Prakoso Taufik Taufik Untung Sudjianto Wenny Hizkia Aferdo Wijaya, Rachmawan Yelly Prawoto Yelly Prawoto Yely Prawoto Yely Prawoto, Yely Yuni T, Veronika Zed Nahdi Zed Nahdi