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All Journal Komunikasi Fisika Indonesia Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Aceh Physics Society
Vepy Asyana
Universitas Riau
Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Design and Operation of Optical Fiber for Mass Measuring Instrument with Bending Power Loss Principle Saktioto Saktioto; Wahyu Candra; Vepy Asyana; Romi Fadli Syahputra; Syamsudhuha Syamsudhuha; Dedi Irawan; Okfalisa Okfalisa; Haryana Hairi; Dadang Syarif Shihabudin Sahid
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 9, No 2: June 2021
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v9i2.2419

Abstract

Utilization fiber optics macro-bending will be useful for non-destructive applications, such as a mass measurement device. This research, therefore, analyzes the fiber optic power loss due to macro bending by mass loading and explores its possible application as an instrument of mass scale. A single-mode fiber (SMF) with a core diameter of 8.2μm and laser with a wavelength of 1310 nm and 1550 nm are used in this  work. Moreover, an optical power meter with a sensitivity of 0.01dBm is applied as the detector while power loss is determined using nine bending cylinders that can produce eighteen bends with a roundtrip system. It is  obtaineda correlation coefficient R2of 0.9910 and 0.9959 corresponding to a sigmoid of 4 parameters for two-wavelength sources of 1310nm and 1550nm, respectively. The results showed mass suppression can produce a power loss with a relatively small error of 19.60%, 11.23%, 0.20%, 3.74%, and 9.36% for mass 300g, 600g, 100 g, 1400g, and 1800g, respectively
Application of uCT-scan and infrared spectroscopy for determination of urinary stone components Vepy Asyana; Leni Aziyus Fitri; Freddy Haryanto; Taufik Ridwan; Nanda Fitri Ayu Muningrat
Journal of Aceh Physics Society Volume 10, Number 4, October 2021
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v10i4.19114

Abstract

Abstrak. Batu kemih merupakan salah satu penyakit dengan tingkat prevalensi yang cukup tinggi di Indonesia. Pengetahuan komposisi pada kandungan batu kemih dapat membantu tenaga medis dalam melakukan justifikasi penanganan tindakan lanjut pada pasien dengan tepat.Tujuan penelitian iniadalah menentukan kandungan mineral yang terdapat pada batu kemih menggunakan metode analisa spektrum inframerah dan nilai hounsfield unit (HU) yang terdapat pada citra yang dihasilkan dari modality mCT-Scan. Hasil karakterisasi fourier transform infrared spectroscopy (FTIR) memperlihatkan kandungan mineral batu kemih terdiri dari batu kemih calcium oxlate monohydrate, uric acid, batu campuran calcium oxalate dengan phosphate dan batu campuran cystine dengan phosphate sedangkan hasil dari scanning mCT memperlihatkan adanya kandungan mineral batu kemih campuran seperti batu campuran calcium oxalate dan cystine, batu campuran calcium oxalate, struvite, dan cystine, dan batu campuran calciumoxalate dan uric acid.Dari hasil penelitian ini dapat disimpulkan bahwa kedua modaliti tersebut mampu memperlihatkan kandungan mineral batu kemih dengan baik. Hal ini terlihat adanya spektrum serapan karakteristik dari FTIR setiap sampel berbeda-beda dan dari hasil citra mCT-Scan memperlihatkan nilai HU yang bervariasi sehingga mengindikasikan kandungan mineral pada sampel batu kemih yang diamati juga memiliki jenis yang berbeda-beda. Abstract. Urinary stones are a disease with a high prevalence rate in Indonesia. Knowledge of the composition of the urinary stone is an essential part to determine suitable treatments for patients. The aim of this research is to determine the mineral contained in urinary stones using the infrared spectrum and the value of HU (hounsfield unit) from the image mCT-Scan. The results of FTIR characterization showed that the mineral content of urinary stones consisted of calcium oxlate monohydrate, uric acid, calcium oxalate and phosphate mixed stones and cystine-phosphate mixed stones. mCT-Scan results showed the mineral content of urinary stones such as calcium oxalate and cystine mixed stone, calcium oxalate, struvite, and cystine mixed stones, and calcium oxalate and uric acid mixed stones. This show that the two modalities are be able to determine the mineral content of urinary stones. It can be seen that the characteristic absorption spectrum of the FTIR for each sample is different and from the mCT-Scan image results, the HU value varies so that it indicates the mineral content of the observed urine stone sample are different.
OPTIMALISASI PENGGUNAAN E-MODUL DAN PHET SIMULATION SEBAGAI VIRTUAL LAB DI MASA PANDEMI COVID-19 Vepy Asyana; Arini Arini
Komunikasi Fisika Indonesia Vol 17, No 3 (2020)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.17.3.160-165

Abstract

This study examines the use of e-modules and PhET simulations as virtual labs in basic physics. The purpose of this research is to optimize the available virtual labs. To facilitate the implementation of practicum, this study uses e-module as a companion material used by users. The research was conducted in two stages. The first is conducting direct trials using PhET simulations and e-modules through Google classroom. The second stage is primary data collection through a questionnaire instrument given to respondents via Google form. The questionnaire instrument was then analyzed by testing the validity, reliability and usability. From the validity and reliability test results obtained 9 question items that have valid and reliable criteria of 0.936 with very high criteria. The usability results show the percentage of respondents to the questions given through the questionnaire dominated by agreeing and strongly agreeing to the four usability factors. This shows that the use of e-module and PhET simulation as virtual lab fulfills the usability element.
FABRIKASI DAN KARAKTERISASI ELEKTRODA KARBON DARI BIOMASSA SERABUT BUAH NIPAH DENGAN VARIASI KONSENTRASI AKTIVATOR KOH Ade Nur Indah Lestari; Rakhmawati Farma; Vepy Asyana; Awitdrus Awitdrus
Komunikasi Fisika Indonesia Vol 17, No 3 (2020)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.17.3.127-133

Abstract

Today the need for electrical energy has increased due to the large number of electronic devices that require high electrical energy. To overcome this, a large storage of electrical energy is needed. One of the constituents of energy storage devices that is very important is the electrode. This study used nipah fibers as the basic material for electrodes, because the potential of nipah fruit has not been widely used. The purpose of this study was to determine the effect of KOH activator on the quality of activated carbon from nipah fruit fibers using variations of KOH activator concentrations 0.2 M, 0.3 M, and 0.4 M with sample codes SBN-02, SBN-03, and SBN-04. The manufacture of activated carbon electrodes is carried out through a process of pre-carbonization, chemical activation, carbonization, and physical activation. Characterization of TGA resulted in a resistant temperature of 296°C with a maximum speed of 0.166mg/min. XRD analysis produced a semicrystalline diffraction pattern consisting of two peaks around 24° and 44° at an angle of 2θ indicating the orientation of the hkl (002) and (001) planes.
IDENTIFIKASI HEWAN BERDASARKAN POLA AKUSTIK DENGAN PRINSIP EKSTRAKSI WAVELET DAN KLASIFIKASI MULTI-LABEL JARINGAN SYARAF TIRUAN Defrianto Defrianto; Titrawani Titrawani; Lazuardi Umar; Vepy Asyana
Komunikasi Fisika Indonesia Vol 19, No 1 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.1.51-56

Abstract

An acoustic identification and classification system of frogs has been designed based on the principle of wavelet extraction and label classification using an artificial neural network (ANN). This system consists of electronic detection for frog audio as well as an interface using the MATLAB 2018b software as an ANN provider device. As input for the neural network, 5 types of frogs were used, namely the rock frog (Limnonectes macrodon), the blentung frog (Kaloula baleata), the hip frog (Limnonectesblythii), the rice field frog (Fejervarya cancrivora), and the trench frog. frog. frog (Fejervarya limnocharis). ), each with 12 sound samples. Before being inserted into the neural network, 3 levels of sound samples were extracted and denoised using wavelet symlet 3. Furthermore, in the neural network training process, 3 validation samples and 3 test samples were used. After training, the artificial neural network was able to identify the type of frog being tested.
Co-Authors Ade Nur Indah Lestari Arini, Arini Awitdrus Awitdrus, Awitdrus Dadang Syarif Sihabudin Sahid Dedi Irawan Defrianto Defrianto Freddy Haryanto Haryana Hairi Lazuardi Lazuardi Leni Aziyus Fitri Nanda Fitri Ayu Muningrat Okfalisa Okfalisa Rakhmawati Farma Romi Fadli Syahputra Saktioto Saktioto Syamsudhuha Syamsudhuha Taufik Ridwan Titrawani Titrawani Wahyu Candra