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All Journal Journal of Food and Pharmaceutical Science BERKALA FISIKA POSITRON Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Sainteknol : Jurnal Sains dan Teknologi Jurnal Perlindungan Tanaman Indonesia Proceeding of the Electrical Engineering Computer Science and Informatics INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Ilmu Fisika Jurnal Teori dan Aplikasi Fisika Reaktom : Rekayasa Keteknikan dan Optimasi Pillar of Physics: Jurnal Berkala Ilmiah Fisika Sunan Kalijaga Journal of Physics
Kuwat Triyana
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Physics

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Silver Nanorods Layer Based on Polyvinyl Alcohol on Glass Substrates by Dip-Coating Method Junaidi Junaidi; Agus Riyanto; Kuwat Triyana; Khairurrijal Khairurrijal
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 9 No. 1 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n1.p1-9

Abstract

This research reports the investigation of the performance of a thin layer based on silver nanorods using the dip-coating method. The synthesis was conducted by polyol method at an oil bath temperature of 140 °C. In the synthesis of silver nanorods, materials used were silver nitrate (AgNO3) as the main raw material, ethylene glycol (EG) as the solvent, and a small amount of sodium chloride (NaCl) as a mediated-agent (precursor). Polyvinyl alcohol (PVA) used as a capping agent and stabilizer in this process. Diameter and length of silver nanorods were 800 nm and 15 µm, respectively. Furthermore, the silver nanorods suspension was deposition onto a glass substrate with a variety of dipping cycles. The result showed the thickness of the thin layer is linear with a number of dipping cycles. Electrical and optical properties of thin layer show that sheet resistance about of 30 Ω sq-1 by transmittance above of 80%. The silver nanorods thin film can be used as a conductive and transparent electrode for various optoelectronic applications.
Steady-state response feature extraction optimization to enhance electronic nose performance Dyah Kurniawati Agustika; Shidiq Hidayat; Kuwat Triyana; Doina D Iliescu; Mark S Leeson
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2050

Abstract

Feature extraction of electronic nose (e-nose) output response aims to reduce information redundancy so that the e-nose performance can be improved. The use of different sensor types and sample targets can affect the optimization of feature extraction. This research used six types of metal oxide sensors, TGS 813, 822, 825, 826, 2620, and 2611 in an e-nose system to detect three types of herbal drink. Five kinds of feature extraction methods on the original response curve in a steady-state response were used, namely, baseline difference, logarithmic difference, local normalization, global normalization, and global autoscaling. The results of feature extraction were fed into a Principal Component Analysis (PCA) system. As a result, global autoscaling and normalization had the highest total sum of the first and second principal components of 96.96%, followed by local normalization (90.18%), logarithm, and baseline difference (88.92% and 79.26%, respectively). The validation of PCA results was performed using a Backpropagation Neural Network (BPNN). The highest accuracy, 97.44%, was obtained from the global autoscaling method, followed by global normalization, local normalization, logarithm, and baseline difference, with an accuracy level of 94.87%, 92.31%, 89.74%, and 82.05%, respectively. This demonstrates that the selection of the feature extraction method can affect the classification results and improve e-nose performance.
Porous Si (111) Fabrication Using Electrochemical Anodization: Effects of Electrode Distance and Current Density Risa Suryana; Fauzi Ahmad Bogas; Kuwat Triyana; Khairurrijal Khairurrijal; Heru Susanto
Jurnal Teori dan Aplikasi Fisika Vol 9, No 1 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i1.2705

Abstract

Porous silicon (PSi) has developed for many applications such as gas and humidity sensors. Various methods are available to fabricate PSi, and electrochemical anodization is common due to low cost and easy use. Current density, etching/anodization time, type of etching solution, and electrode distance are the parameters determining resulting pores. The substrate used n-type silicon wafer with (111)-orientation and resistivity of 1.5-4.5 Ω.cm with a size of 1.5×1 cm2. The cleaning process of the samples employed the RCA cleaning procedure. Conductive contacts required for the electrochemical anodization were aluminum on the samples. The electrodes were the Si sample acting as anode and platinum (Pt) electrode as a cathode. The etching solution using a mixture of HF (40%) and ethanol (99%) with a 1:1 ratio. The electrode distance was 1.5, 2.0, and 2.5 cm. The current density for each electrode distance was 10, 30, and 50 mA/cm2 with an anodization time of 30 min. SEM and UV-Vis characterizations were applied to obtain surface morphology and reflectance, respectively. For all samples, the reflectance of PSi was lower than the reflectance of the original silicon surface (no pores). This condition indicates that the PSi is suitable as an anti-reflective layer in a solar cell. However, the PSi of reflectance curves has irregular shapes as a function of wavelength for different electrode distance and the current density. The SEM images confirmed that the pores formed on the silicon surface were inhomogeneous. The pore size decreased with the increase of the electrode distance while it increased as the increase of the current density. There was a correlation between pores size and reflectance at specific wavelength numbers.
Primer Design of Volatile Synthesis Coding Genes in Ralstonia syzygii subsp. celebesensis Damanik, Nina Septania; Prakoso, Ady Bayu; Triyana, Kuwat; Subandiyah, Siti
Jurnal Perlindungan Tanaman Indonesia Vol 27, No 2 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpti.81099

Abstract

Microbes produce various types of volatile organic compounds (VOCs) through metabolism, which can be used for diagnostic purposes. Microbes' types and classes of VOCs are very wide, including fatty acid derivatives (hydrocarbons, alcohols, and ketones), aromatic compounds, nitrogen-containing compounds, and volatile sulfur compounds. Microbial volatile organic compounds (VOCs) can also be divided into several chemical classes: alkenes, alcohols, ketones, benzos, pyrazines, sulfides, acids, esters, and terpenes. This study aimed to design primers for genes encoding volatile synthesis in Ralstonia syzygii subsp. celebesensis, which causes blood disease in the banana plant. Some of the genes involved are adc (acetone synthesis), adhP (ethanol synthesis), ilvA, nirBD (ammonia synthesis), mdcA (propionic acid synthesis), cysI (hydrogen sulfide synthesis), and speBC (putrescine synthesis). Primers were designed and examined for specificity in silico using Primer3Plus, Geneious Prime, and BLAST programs. The numbers of nine pairs designed primers were successfully amplifying the related nine VOC genes of R. syzygii subsp. celebesensis for qPCR. 
Portable Electronic Nose for Discrimination of Indonesian Robusta Coffee Aroma with Varied Roasting Temperature Correlated with Gas Chromatography Mass Spectrometry Yesiana Arimurti; Kuwat Triyana; Sri Anggrahini
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 9, No 02 (2019): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.94 KB) | DOI: 10.13057/ijap.v9i02.18622

Abstract

The quality of coffee is strongly affected by its aroma, so that instrument for aroma testing is necessary especially for quality control. In this research, coffee aroma was tested using electronic nose and then correlated to gas chromatography-mass spectrometry (GC-MS). The green beans of robusta coffee (coffee canephora var.robusta) originated from Sumatra was used as a testing sample. The roasting temperature was varied to be 180 °C, 195 °C, and 210 °C, while the roasting time was set to be constant at 20 minutes. After the roasting process, the coffee beans were grounded using a coffee grinder. The feature of the response signal for each gas sensors of the electronic nose to ground coffee aroma, was extracted using two methods; i.e. gradient multiplied by signal peak and average value. The principle component analysis (PCA) was applied to discriminate the aroma of ground coffee with varied roasting temperature. The scoreplot of PCA analysis shows a clear discrimination of each coffee aroma, produced by different roasting temperature. From the GCMS analysis, it is clearly confirmed that more aromatic compounds detected when the roasting temperature increase. It is correlated with the discrimination result using electronic nose. The loading plot interpretation provides information that TGS822 and TGS826 are the most affecting sensors for discrimination of coffee aroma with varied roasting temperature. In the future, the electronic nose is potentially applied in coffee industry for quality control during process.
DETEKSI POLA AROMA KULIT BABI DAN KULIT SAPI MENGGUNAKAN ELECTRONIC NOSE (E-Nose) Dwi Putri, Desrinda Mala; Rakhmadi, Frida Agung; Hidayat, Shidiq Nur; Triyana, Kuwat
Sunan Kalijaga Journal of Physics Vol. 2 No. 1 (2020): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v2i1.2312

Abstract

This study aimed to detect the aroma pattern of pigskin and cow-hide using E-Nose. This research was conducted by collecting data. Data were collected using Electronic Nose (E-Nose) and GeNose datalogger software. The software only displays the stress data of the two aroma patterns of cow hide and pigskin in real time, but has not been able to display the difference between the two aroma patterns. The aroma pattern of pigskin and cow hide has been detected and the radar plot shows the performance that there is one TGS sensor that does not respond to the aroma patterns of the two skins, namely TGS 2612, while the TGS sensor that responds is seven TGS sensors.  
KLASIFIKASI AROMA KULIT KUDA DAN KULIT BABI MENGGUNAKAN ELECTRONIC NOSE (e-Nose) Saputra, Rakha; Putri, Desrinda Mala Dwi; Rakhmadi, Frida Agung; Hidayat, Shidiq Nur; Triyana, Kuwat
Sunan Kalijaga Journal of Physics Vol. 2 No. 2 (2020): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v2i2.2325

Abstract

Electronic nose (e-Nose) has successfully classified the aroma of horse hide and pigskin. The sensor used by e-Nose consists of eight Taguchi Gas Sensor (TGS) sensors. This study uses a baseline reduction and feature extraction method with an average maximum value. The classification results between the two skins are shown by a graph plot. There is one TGS which shows no difference between the smell of horse skin and pork rind. The other TGS responds and shows the difference between the two skin scents.
The use of Electronic Nose in Machine Learning-Based of Jengkol (Archidendron Pauchiflorum) Andkabauseeds (Archidendron Bubalinum) Authentication Mustika, Dian Putri; Darvina, Yenni; Yulkifli, Y; Triyana, Kuwat
PILLAR OF PHYSICS Vol 18, No 1 (2025)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/16783171074

Abstract

This research is based on the fact that this difference in economic value can create a potential motive for counterffeiting, although to date there has been no concrete evidence that counterfeiting between these two types of seeds has occurred. Basically, however, jengkol and kabau are also quite similar physically, especially when they are chopped, making it difficult to distinguish them visually even though they have different odors. The sample preparation tools used are digital scales and knives. While the data collection tools used are electronic nose, personal computer, data logger, usb, drain pump, teflon hose, 100 ml beaker, and acrylic box. The materials used are jengkol and kabau seeds.The method used is experimental, where jengkol and kabau are put into a glass beaker which will be tested using an enose connected using a teflon hose and the output results are seen in the data logger.The model used is support vector machine. The performance of the external test data on the SVM model with RBF kernel can be seen in Figure 9. It can be seen that out of 200 data, there are 2 data that are misclassified. Where from the confution matrices, the accuracy is 99.00, Recall_0 is 99.00, and Recall_1 is 99.00. This shows that the model that has been developed remains stable despite changes in the retrieval method and by being carried out in different weeks.
Co-Authors - Sujarwata Abdul Rohman Ade Ika Susan Agus Riyanto Agustika, Dyah Kurniawati Arimurti, Yesiana Damanik, Nina Septania Doina D Iliescu Dwi Putri, Desrinda Mala Dyah Kurniawati Agustika ELLY INDAHWATI Fauzi Ahmad Bogas Frida Agung Rakhmadi, Frida Agung Heru Susanto Hidayat, Shidiq Hidayat, Shidiq Nur Hidayatullah, Muhammad Iliescu, Doina D Junaidi Junaidi K Sofjan Firdausi Kamsul Abraha Ketut Umiati, Ngurah Ayu Khairurrijal Khairurrijal Kusumaatmaja, Ahmad Leeson, Mark S Mark S Leeson Mita Amalia Raraswati Mustika, Dian Putri Najmudin Fauji Nini Firmawati Nurlaila Rajabiah Prakoso, Ady Bayu Putri, Desrinda Mala Dwi Risa Suryana Saputra, Rakha Shidiq Hidayat Siti Subandiyah Sri Anggrahini Sri Anggrahini Triwahyudi . Yenni Darvina Yesiana Arimurti Yulkifli, Y