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Jurnal Teori dan Aplikasi Fisika
Published by Universitas Lampung
ISSN : 2303016X     EISSN : 25491156     DOI : https://doi.org/10.23960/jtaf.v14i01
Core Subject : Science, Engineering,
Astronomy Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
We invite authors to submit manuscripts of up to 10 pages, prepared in accordance with the author guidelines. The scope of this journal includes, but is not limited to, the following fields: 1. Theoretical Physics Classical Mechanics Electromagnetics Thermodynamics Statistical Mechanics Quantum Mechanics Theory of Relativity Quantum Gravity Astrophysics Cosmology 2. Earth Physics (Geophysics) Geothermal Geoelectrics Seismics Geomagnetics 3. Materials Physics Nanomaterials Metals and Corrosion Magnetic Materials Thin Films Photocatalysts/Catalysts Semiconductors Superconductors Ceramics Polymers 4. Electronics and Instrumentation Sensors Biomedical Instrumentation Agricultural Instrumentation Environmental Instrumentation Biophysics Computational Physics Lasers 5. Nuclear Physics Reactor Safety Neutronic Analysis Fuel and Waste Management
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 395 Documents
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Real-time Visualisasi Temperatur Pada NTC Sensor Array menggunakan Metode Interpolasi Gaussian berbasis Python Joni Joni; Sabar Sabar; Kisna Pertiwi; M. Ikhsanudin; Leo Sinambela
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 2 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i2.322

Abstract

Thermal camera technology has been rapidly advancing in the process of remotely measuring temperature. In addition, thermal cameras can also be used to detect gas, water, and other fluid leaks by measuring the temperature changes in the measured object, such as water pipes within walls that cannot be seen directly with the naked eye. However, thermal cameras have limitations in directly measuring dynamic temperature, such as in electric motors mounted on engine blocks. Moreover, there is a need for acquiring data on temperature changes that can be stored and displayed in real-time. The aim of this research is to develop a basic prototype capable of measuring the temperature of the target object and displaying it directly, with the displayed data also being stored in a database. The hardware used for measurements in this study consists of an array of 36 NTC sensors, which are read by the ADC on each ESP-12K microcontroller. The measured data is sent from the microcontroller to the computer via serial communication in the form of voltage values, which are then converted into resistance and temperature values on the computer. For the temperature array visualization process, the author uses Python programming language and the Gaussian Interpolation method.
Studi Difusi Gadolinium Makrosiklik Pada Sel Kupffer Menggunakan Simulasi Monte Carlo Cell Stcay Gillian Alehandra Gore; Adita Sutresno; Andreas Setiawan
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 2 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i2.323

Abstract

Contrast agents containing gadolinium (Gd) are classified into two types based on their molecular structure: linear and macrocyclic. The macrocyclic type is known for its enhanced stability, resulting in minimal release of Gd ions within the body. The distribution of macrocyclic Gd within the kupffer cells in the liver, undergoes a diffusion process. In this study aimed to investigate the diffusion mechanism of macrocyclic gadolinium in kupffer cells. It employs a simulation geometry model employing Monte Carlo Cell and a three-compartment experimental model. The kupffer cell model in the simulation was generated using Blender 2.93 application, consisting of three compartments, while the experimental model involved three compartments containing a NaCl solution. The simulation results revealed that kupffer cell membran densities of 1480 molekul/?m2, 2961 molekul/?m2, 4442 molekul/?m2, and 5922 molekul/?m2 exhibited respective half-lifes of 0.547 s, 0.261 s, 0.198 s, and 0.148 s. Furthermore, the experimental results indicated that the models with 100, 200, 300, and 400 holes displayed half-lives of 1720 s, 578 s, 530 s, and 240 s, respectively. Result this research shows that higher membrane density and more significant number of holes results in faster molecule diffusion.
Penentuan Density Matrix Sistem Kuantum Satu Partikel Dimensi Satu dengan Metode Discretized Path Integral (DPI) Iyan Islamiyati; I Wayan Sudiarta; Lily Maysari Angraini
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.324

Abstract

Nanofiber PVA/ZnO Sebagai Material Antimikroba Pada Wound Dressings putri uzalia; diah hari kusumawati
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.325

Abstract

Nanofibers are ideal for forming multifunctional medical products, one of which is wound dressings. Nanofibers wound dressings made from polyvynyl alcohol (PVA) and zinc oxide (ZnO) using the electrospinning method with varying voltages of 15 kv, 16 kv, 18 kv, and 20 kv, to determine the effect of stress on morphology, absorption and antibacterial activity. The resulting nanofibers have a smooth surface and an almost uniform fiber diameter. SEM analysis showed that the diameter of PVA 10% with a magnification of 50000X was 252 nm and PVA/ZnO 20 kv with a magnification of 30000X was obtained 231 nm, the EDX spectrum contained elements of C, O, and Zn respectively 37.40%, 62.14%, and 0.46%. The results of the FTIR analysis showed that the functional groups seen in the PVA/ZnO samples were O-H, CH2, C-H, C-O, and Zn-O. UV-Vis transmission showed that PVA had a high UV transmission of 12% but all PVA/ZnO nanofibers showed a UV transmission of almost 0%. Antimicrobial activity showed that the number of bacterial colonies in PVA/ZnO samples was less than the control. The average nanofibers diameter increases when ZnO nanoparticles are added, but when tension is increased, the average diameter of the nanofibers decreases. The morphology of the nanofibers is very uniform and there are no ZnO nanoparticle crystals, so PVA/ZnO nanofibers can be chosen as an ideal biomaterial for wound dressings.
U-bend Optical Fiber to Determine Characteristics of pH Sensor Muhammad Yunus
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.326

Abstract

Analisis Klasifikasi Tipe Iklim Dari Data Curah Hujan Menggunakan Metode Schmidt-Ferguson (Studi Kasus: Kabupaten Tangerang) Ratu Ruqoyah; Yayat Ruhiat; Asep Saefullah
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.327

Abstract

Curah hujan di Indonesia memiliki tingkat keragaman, hal tersebut memberikan pengaruh yang besar terhadap kehidupan masyarakat di Indonesia. Sehingga ketersediaan data curah hujan menjadi hal penting untuk memahami karakteristik dan klasifikasi tipe iklim. Penelitian ini bertujuan untuk mengetahui pola curah hujan dan mengetahui tipe iklim berdasarkan metode Shmidt-Ferguson. Penelitian ini menggunakan data sekunder berupa data curah hujan, kelembaban, tekanan, suhu, arah dan kecepatan angin pada periode 2011-2020, data yang diolah menggunakan perangkat lunak Microsoft Excel, Minitab, WRPlot dan Arcgis. Hasil Berdasarkan yang diperoleh bahwa pola curah hujan di Kabupaten Tangerang termasuk tipe munson karena mengalami puncak musim hujan pada bulan Desember-Februari dan musim kemarau pada bulan Juni-Agustus. Adapun hasil musim hujan maksimum yang terjadi pada bulan Februari tahun 2020 di Lokasi wilayah curug sebesar 556 mm/bulan dan pada tahun 2017 di wilayah balaraja sebesar 660 mm/bulan. Sedangkan untuk musim hujan minimum terjadi pada bulan Agustus tahun 2012 dan 2015 di wilayah curug dan balaraja sebesar 0 mm/bulan. Daerah Kabupaten Tangerang memiliki curah hujan klasifikasi menengah dengan intensitas rata-rata sebesar 101-300 mm/bulan. tipe iklim di Kabupaten Tangerang yaitu B dengan Kriteria Basah vegetasi Hutan Hujan Tropika yang memiliki curah hujan tinggi sehingga daerah selalu lembab yang berarti daerah ini dapat ditanami oleh berbagai jenis tumbuhan dan sangat cocok untuk sektor pertanian
Pemodelan Anomali Aliran Sungai Bawah Tanah Menggunakan Data Self-Potential Yanti Boimau; Wenti Marlensi Maubana; Kadek Ayu Cintya Adelia
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.328

Abstract

Rancang Bangun Akuarium Portable Menggunakan Teknologi Internet Of Things Untuk Budidaya Ikan Hias Muhammad Basri; Joi Alfreddi Surbakti
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.329

Abstract

Review Mekanisme Pembentukan Massa Neutrino melalui Seesaw Tipe I Qidir Maulana Binu Soesanto; Akmal Ferdiyan
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.330

Abstract

Terdapat beberapa ekstensi Model Standar dalam Fisika Partikel untuk menjelaskan pembentukan massa neutrino. Salah satu ekstensi yang paling sederhana adalah mekanisme Seesaw tipe I. Dalam mekanisme ini diperkenalkan neutrino right-handed yang tidak ambil bagian dalam interaksi lemah atau sering disebut juga dengan steril (Y=0). Pada tulisan ini, kami berusaha menuliskan penjabaran mengenai mekanisme ini.
Penerapan Jaringan Saraf Tiruan / JST (Backpropagation) untuk Prakiraan Cuaca di Bandar Udara Radin Inten II Lampung Adi Saputra; Sri Ratna Sulistiyanti; Roniyus Marjunus; Yanti Yulianti; Junaidi Junaidi; Arif Surtono
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.331

Abstract

Prediksi cuaca diperlukan dalam perencanaan kehidupan sehari-hari, salah satunya untuk membuat keputusan. Keberhasilan dari suatu prediksi cuaca akan berdampak pada pengambilan keputusan di berbagai bidang, antara lain pada bidang pertanian dan penerbangan. Pada bidang penerbangan, prediksi cuaca penting untuk menentukan waktu, lokasi, arah gerak, ketinggian serta merencanakan pergerakan pesawat untuk memperhitungkan gangguan operasi yang dapat disebabkan jika cuaca sedang buruk dan juga untuk mempertimbangkan dalam menentukan rute penerbangan atau menentukan dalam membawa tambahan bahan bakar jika dalam suatu kasus pesawat harus kembali dikarenakan kondisi cuaca yang tidak memungkinkan. Oleh karena itu perlunya sebuah metode prediksi cuaca yang baik sehingga dapat mengurangi kerugian dan kerusakan. Parameter maksimum dalam pengembangan perancangan informasi prakiraan cuaca berbasis Jaringan Saraf Tiruan / JST (Backpropagation) dengan menambah inputan data curah hujan, suhu, kelembaban, penyinaran matahari, tekanan udara, arah angin dan kecepatan angin. Penelitian ini dilakukan di wilayah Bandar Udara Radin Inten II Lampung. Data yang digunakan dalam penelitian ini adalah berupa data harian kondisi meteorologi di wilayah Bandar Udara Radin Inten II Lampung dari Stasiun Meteorologi Radin Inten II selama 3 tahun terakhir yaitu dari tahun 2017 hingga tahun 2019. Data tersebut dibutuhkan sebagai data masukan untuk algoritma yang akan digunakan dalam penelitian. Berdasarkan pada hasil penelitian, diperoleh akurasi pelatihan terbaik sebesar 100% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan levenberg-marquardt (trainlm) dan scaled conjugate gradient (trainscg), fungsi aktivasi sigmoid biner dan sigmoid bipolar, dan jumlah neuron 20, 40, 60, 80, dan 100. Sedangkan akurasi pengujian terbaik sebesar 74.359% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan gradient descent wit momentum and adaptive learning rate (traingdx) dan fungsi aktivasi sigmoid biner (logsig) dan jumlah neuron 20 dan 80.Kata kunci: Penerapan Jaringan Saraf Tiruan, Prakiraan Cuaca, Bandar Udara Radin Inten II Lampung.Weather prediction is needed in planning daily life, one of which is to make decisions. The success of a weather prediction will have an impact on decision making in various fields, including agriculture and aviation. In the field of aviation, weather prediction is important to determine the time, location, direction of motion, altitude and plan the movement of aircraft to take into account operational disturbances that can be caused if the weather is bad and also to consider in determining flight routes or determining in carrying additional fuel if in an emergency. In the case of the aircraft having to return due to unfavorable weather conditions. Therefore the need for a good weather prediction method so as to reduce losses and damage. In this case the author tries to focus on the maximum parameters in the development of weather forecasting information design based on Artificial Neural Networks / Backpropagation by adding input data of rainfall, temperature, humidity, sunlight, air pressure, wind direction and wind speed. This research was conducted in the area of Radin Inten II Airport, Lampung. The material used in this study is in the form of daily data on meteorological conditions in the Radin Inten II Lampung Airport area from the Radin Inten II Meteorological Station for the last 3 years, from 2017 to 2019. This data is needed as input data for the algorithm that will be used in study. Based on the research results, the best training accuracy is 100% on the artificial neural network architecture with levenberg-marquardt training function parameters (trainlm) and scaled conjugate gradient (trainscg), binary sigmoid and bipolar sigmoid activation functions, and the number of neurons 20, 40, 60, 80, and 100. Meanwhile, the best test accuracy is 74,359% on the artificial neural network architecture with the training function parameters gradient descent wit momentum and adaptive learning rate (trainingdx) and binary sigmoid activation function (logsig) and the number of neurons 20 and 80. Keywords: Application of Artificial Neural Networks, Weather Forecast, Radin Inten II Airport Lampung

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