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All Journal POSITRON Jurnal Sains Materi Indonesia Komunikasi Fisika Indonesia Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Journal of Mathematical and Fundamental Sciences JFA (Jurnal Fisika dan Aplikasinya) JOURNAL ONLINE OF PHYSICS Spektra: Jurnal Fisika dan Aplikasinya Maspul Journal of Community Empowerment
Rahmondia N. Setiadi
Program Studi Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Riau, Jl. Bangau Sakti No.99, Simpang Baru, Kec. Tampan, Kota Pekanbaru, Riau, Indonesia
Aerospace Engineering Humanities Astronomy Chemistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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IDENTIFICATION OF WHITE NOISE AND 1/f IN CURRENT MIRROR CONFIGURATION BASED ON VDS MOSFET Maria Rosariana Gea; Lazuardi Umar; Rahmondia Nanda Setiadi
JOURNAL ONLINE OF PHYSICS Vol. 7 No. 2 (2022): JOP (Journal Online of Physics) Vol 7 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v7i2.18167

Abstract

Identifying noise in the Current Mirror (CM) circuit is essential to locate noise signals in biosensor applications so that measurements become more accurate and precise. There are two dominant types of noise: white noise, which consists of thermal noise and shot noise, and also low-frequency noise (1/f  noise). The main component of the CM circuit is the BS250 type MOSFET, which works by varying the width of the charge carrier channelcontrolled by the voltage at the gate. When the drain is given a voltage, electrons will flow from the source to the drain which generates the noise.This study was carried out to identify the noise in the CM configuration by varying the reference voltage of MOSFET using the PCI-6221 card data integrated with the LabVIEW program. The reference voltage values ​​used are 1 mV, 10 mV, and 100 mV to determine the effect of the input voltage on the CM circuit noise signal, while the measurement frequency is varied from 0.1 Hz to 100 kHz with a resolution of 0.1 Hz. The results show that the noise characteristics vary with the applied voltage, which will increase at a higher voltage. Analysis of 1/f noise at frequencies up to 0.2 Hz has a gradient increase of up to 10 times for each given voltage value. Based on the value of the data distribution on the white noise measurement, it shows that a voltage of 100 mV produces the highest noise with an average of 3.62 × 10-7 Vrms/Hz1/2. The results of this study are used in the design of CM circuits with minimal noise.
Pemanfaatan Limbah Kulit Bawang Sebagai Pestisida dan Pupuk Organik Intan Kurnia; Elika Br Gultom; Dini Afriyunita; Sukma Sakinah; Fefi Herninda; Rika Arnida; Fajar Bayu Lesmana; Cahaya Samudra; Mhd Dimas Fahdiansyah; M. Ejie Prasetyo; Rahmondia Nanda Setiadi
MASPUL JOURNAL OF COMMUNITY EMPOWERMENT Vol 4 No 2 (2022): MASPUL JOURNAL OF COMMUNITY EMPOWERMENT
Publisher : LP2M Universitas Muhammadiyah Enrekang

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Abstract

The use of chemical pesticides in plant pest control is an easy and effective reason, although many have negative impacts on the environment. This can be a consideration for farmers in the use of organik pesticides that use materials available in nature to control plant-disturbing organisms, one of the organik pesticide ingredients used is onion skin and garlic, because they contain substances that are toxic to insects and fungi. Onion and garlic extracts can function as insect repellents. The activity of making organik pesticides is intended as a medicine for plants cultivated by farmers in Kota Lama Village, Indragiri Hulu District, Riau Province. Organik pesticides that are made are known to function in preventing insect pests on plants cultivated by local residents. The results of the pesticide have been applied to local residents' gardens. With the presence of pesticides and organik fertilizers, the people of Kota Lama Village feel very helpful because they can reduce costs for caring for plants. The use of pesticides and organik fertilizers is a new and much safer alternative for human health.
DETEKSI KADAR ETANOL PADA MAKANAN TRADISIONAL LEMANG TAPAI MENGGUNAKAN MIKROBIAL BIOSENSOR Nadratul Hanifah; Rahmondia Nanda Setiadi; Yanuar Yanuar; Vira Annisa Rosandi; Lazuardi Umar
JOURNAL ONLINE OF PHYSICS Vol. 8 No. 3 (2023): JOP (Journal Online of Physics) Vol 8 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v8i3.27517

Abstract

Konsumsi etanol memiliki konsekuensi bagi kesehatan, dimana penentuan etanol sangat relevan dengan uji toksikologi klinis yang mempengaruhi sistem saraf, sistem peredaran darah, sistem pencernaan sehingga perlu dideteksi. Biosensor amperometris merupakan alternatif untuk deteksi etanol dalam makanan yang diamati melalui nilai tegangan output, diperoleh dari oksigen terlarut yang tertinggal dari hasil metabolisme sel. Pada penelitian ini dilakukan deteksi etanol secara kuantitatif memanfaatkan biosensor berbasis sel ragi Saccharomyces cerevisiae untuk mengetahui kadar etanol yang terdapat pada makanan tradisional Lemang Tapai dengan nilai <5%. Larutan etanol standar dengan konsentrasi 1.2%, 2.43%, 3.64% dan 4.86% v/v sebagai kalibrasi sensor yang menunjukkan korelasi (r) yang baik yaitu 0.9937. Hasil pengukuran Lemang Tapai yang dideteksi oleh biosensor menunjukkan konsentrasi etanol 2.79%. Pengolahan data konsentrasi yang dihasilkan kemudian diuji menggunakan metode statistik Analysis of Variance (ANOVA) untuk mengetahui signifikansi perbedaan data yang dihasilkan untuk tiap konsentrasi etanol yang diuji. Hasil penelitian ini diharapkan dapat meningkatkan kesadaran dan kewaspadaan masyarakat terhadap adanya etanol dalam makanan tradisional yang berbahaya ketika dikosumsi secara berlebih.
Identification and Classification of Thiamine with Amperometric Biosensor Based on Saccharomyces cerevisiae and Principal Component Analysis Umar, Lazuardi; Rosandi, Vira Annisa; Nainggolan, Leonardus Riski; Setiadi, Rahmondia Nanda; Linda, Tetty Marta
POSITRON Vol 13, No 1 (2023): Vol. 13 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v13i1.59432

Abstract

Vitamin B1 (thiamine) plays an important role in various metabolic processes and is one of the main factors in the body's health. Thiamine excess and deficiency in the body might cause a variety of diseases such as shortness of breath, beriberi, and heart failure, hence thiamine levels must be detected as a reference for intake. The present research detected thiamine using the amperometric biosensor method and the yeast Saccharomyces cerevisiae as a bioreceptor. Dissolved oxygen (DO) level measurement parameters are considered based on yeast cell metabolism. Thiamine was treated with various concentrations of 15 mM, 30 mM, 45 mM, 60 mM, and 75 mM. The measurement results are in the voltage range of 1912–1964 mV, where the addition of thiamine causes an increase in the reproducibility and growth rate of yeast cells. The ideal characteristics of the biosensor based on the parameters of sensitivity, linearity, and stability was also carried out, which resulted in successive biosensor measurements of 0.925 mV/mM, a correlation coefficient of r = 0.9868, and a decrease in the voltage response of the biosensor up to 4.97% from its initial activity. The measured data were grouped and classified using principal component analysis (PCA), which resulted in a total accumulated data variance percentage of 84.5% and an eigenvalue > 1 for both PCs. It is intended that the findings of this research can be utilized as a reference for controlling vitamin consumption levels that have an impact on health.
Quantitative Caffeine Analysis in Robusta Coffee Utilizing Amperometric Biosensing Technology Rosandi, Vira Annisa; Umar, Lazuardi; Setiadi, Rahmondia Nanda; Rini, Ari Sulistyo; Erwin, Erwin; Yanuar, Yanuar; Linda, Tetty Marta
POSITRON Vol 13, No 2 (2023): Vol. 13 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v13i2.70008

Abstract

Consuming caffeine in inappropriate amounts can disrupt various aspects, especially health. Controlling intake by knowing the caffeine levels in coffee is necessary to reduce the potential negative impacts. This research focuses on the detection of caffeine in Robusta coffee at two different concentrations (1:10 and 1:20 g/mL) and its relationship with yeast metabolism. An amperometric biosensor with a transimpedance amplifier to measure caffeine levels is used which has the advantages of sensitivity, cost-effectiveness, real time monitoring, biocompatibility, and reliable measurements. The data were statistically analyzed using ANOVA and visualized using Principal Component Analysis (PCA). The results revealed a concentration -dependent decrease in biosensor readings as caffeine levels increased (0.1, 0.5, 1, 1.5, and 2 mM), indicating caffeine's ability to inhibit yeast oxygen consumption and oxygen-dependent metabolic processes. The sensitivity of the biosensor in detecting caffeine is 36.66 mV/mM. PCA uncovered complex patterns, relationships, and variations within the caffeine data. PC1 and PC2, the first two principal components, collectively explained 86.3% of the data's variance. Eigenvalues for both PCs were greater than 1, highlighting their significance in understanding the dataset's complexity. This research enhances our understanding of caffeine content in Robusta coffee and its effects on yeast metabolism, providing valuable insights for the coffee industry. This use of yeast biosensors offers efficiency, and adaptability that make that biosensor valuable in a variety of scientific and industrial contexts.
Co-Authors Arfianti Cahaya Samudra Defrianto Defrianto Dini Afriyunita Elika Br Gultom Erwin Erwin Fajar Bayu Lesmana Fefi Herninda Herman Syahputra Intan Kurnia Lazuardi Umar Lazuardi Umar Lazuardi Umar M. Ejie Prasetyo Maria Rosariana Gea Mhd Dimas Fahdiansyah Mitra Djamal Mitra Djamal Mitra Djamal Nadratul Hanifah Nainggolan, Leonardus Riski Rika Arnida Rini, Ari Sulistyo Rosandi, Vira Annisa Siska Maulana Sri . Handayani Sukma Sakinah Sultan Fiddunya Fiddunya Suyatno Suyatno Suyatno, Suyatno Tengku Emrinaldi Tetty M Linda Tetty Marta Linda Vira Annisa Rosandi Yanuar Hamzah Yanuar Yanuar Yanuar Yanuar, Yanuar Yulkifli Yulkifli Yulkifli Yulkifli