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All Journal Jurnal Ilmu Dasar Publika Budaya Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Science and Technology Indonesia PRISMA Jurnal Teori dan Aplikasi Fisika Jurnal Fisika Indonesia Jurnal Pembangunan dan Kebijakan Publik Buguh: Jurnal Pengabdian Kepada Masyarakat Journal of Energy, Material, and Instrumentation Technology BIOVALENTIA: Biological Research Journal Indonesian Journal of Community Empowerment AbdimasMu UMTAS: Journal of Community Service PIJAR: Jurnal Pendidikan dan Pengajaran Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis Gudang Jurnal Multidisiplin Ilmu Jurnal Pembangunan dan Kebijakan Publik Journal of Community Service (Abdisci)
Yanti Yulianti
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Transient In-Situ Identification of Thermal Parameters in Commercial Thermoelectric Modules using Transfer-Function Models Pauzi, Gurum Ahmad; Alfiansyah, Irfan; Riyanto, Agus; Apriyanto, Donni Kis; Yulianti, Yanti; Warsito, Warsito
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 14 No 2 (2025): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v14i2.29031

Abstract

Thermoelectric devices operate based on the Seebeck and Peltier effects and offer advantages such as high reliability, compact size, lightweight structure, and precise temperature control, making them attractive for electronics, automotive, and aerospace applications. However, accurate in-situ characterization of commercial thermoelectric modules remains challenging due to the limitations of conventional methods, which are often destructive, complex, or costly. This study proposes a novel, non-destructive, and cost-effective transient identification method based on the analysis of thermal response under electrical excitation. The system dynamics were modelled using first- and second-order transfer functions derived from energy conservation principles, enabling parameter estimation from transient temperature data. The proposed approach estimated thermal conductivity (0.747 and 1.129 W/m·K), Seebeck coefficient (35.57 and 21.35 K/A), thermal resistance (3.16 and 1.62 K/W), and thermal capacitance (1.17 and 4.36 J/K). The results demonstrate that the transfer-function-based model effectively captures the thermal dynamics of commercial modules and provides reliable parameter identification. This study  contributes a practical in-situ characterization framework that can support thermoelectric performance evaluation and optimization of thermal system design for real-world applications
Desain Reaktor Air Superkritis (Supercritical Cooled Water Reactor) dengan Menggunakan Bahan Bakar Uranium-horium Model Teras Silinder Sri Bawani; Yanti Yulianti
Jurnal Teori dan Aplikasi Fisika Vol. 4 No. 1 (2016): 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.v4i1.98

Abstract

. Telah dilakukan penelitian desain reaktor air superkritis (SCWR) dengan bahan bakar uranium-thorium model teras silinder. Reaktor didesain untuk menghasilkan daya termal yang maksimal dan kondisi kritis. Parameter yang dianalisis adalah pengayaan bahan bakar fraksi volume, densitas atom, ukuran teras, kekritisan, dan distribusi rapat daya. Analisis reaktor dilakukan pada 1/6 bagian teras berbentuk silinder dua dimensi (x,y) menggunakan CITATION. Penelitian menggunakan bahan bakar U-235 dan Th-232, stainless steel sebagai selonsong, air ringan sebagai moderator dan pendingin. Diperoleh desain teras reaktor yang ideal dengan ukuran x = 340 cm dan y = 170 cm. Pengayaan pada bagian pertama bahan bakar 3,1704%, bagian kedua 2,5% dan bagian ketiga 4 %. Desain ini menghasilkan daya termal 1000 M Wth, rapat daya maksimal sebesar 114,4073 watt/cm3 dan nilai k-efektif sebesar 1,000006.
Desain Teras Reaktor High Temperatur Gas-Cooled Reactor (HTGR) Model Mesh Triangular Dua Dimensi Berbahan Bakar Thorium Berpendingin Gas CO2 Nasta Melia Dilaga; Yanti Yulianti; Agus Riyanto
Jurnal Teori dan Aplikasi Fisika Vol. 7 No. 1 (2019): 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.v7i1.207

Abstract

The research of design reactor HTGR cell core with two dimensional triangular mesh model using thorium fueled and CO2 coolant has been done. Objective of the research was design critical condition of HTGR cell core so as obtained critical condition and high thermal power. The neutronic analyzed by CITATION of SRAC on 1/6 of reactor cell core. The parameter which analyzed were core fuel enrichment, size and configuration reactor cell core, critically and power density. The result was obtained the ideal reactor design with size (x) 202 cm and (y) 101 cm. The enrichment of first region was 3% and second region was 2.731%. The total thermal power of reactor was 100 MWth, maximum power density of reactor was 107.5371 Watt/cc and keff of reactor was 1.000008.
Solusi Persamaan Difusi Neutron Pada PWR (Pressurized Water Reactor) Berbentuk Heksagonal dengan Bahan Bakar Uranium Daur Ulang Risdha Ayu Shinta Dewi; Yanti Yulianti; Iqbal Firdaus
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.v11i2.312

Abstract

Solusi Persamaan Difusi Neutron pada Pressurized Water Reactor (PWR) Berbentuk Silinder dengan Bahan Bakar Uranium Daur Ulang Riftaul Kurniawati; Yanti Yulianti; Iqbal Firdaus
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.v11i2.313

Abstract

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
Co-Authors Adi Saputra Agung Abadi Kiswandono Agus Riyanto AGUS RIYANTO Agus Riyanto Alfiansyah, Irfan Ali Akbar Raksa Gandi Alimudin, Salih Anggraini, Adeliya Ayu Anggraini, Anisyah Aprilia Habibah Apriyanto, Donni Kis Artoto Arkundato Aryani, Rindu Bambang Samsu Badriyanto Bambang Samsu Badriyanto Bella M, Annissha Budiman, Shirin Salman Cahyati, Lilis Sri Dadang Rosadi, Dadang Deddy Sofyan, Deddy Dwi Asmi Dwi Asmi Dwi R, Richa Putri Edi Santoso Eko Agus Srihanto, Eko Agus Elly Lestari Rustiati Erdi Suroso F, Rifki Taufik F, Sifa Nur Gandara, Endang Gita L, Tahnia Gugun Gundara, Gugun Hardiyanti, Hani Hendriawan, Hendri Iqbal Firdaus IYAM MARYATI Junaidi Junaidi Junaidi Junaidi Koswara, Undang Krismuniarti, Elisabeth Devi M, Mohammad Arfan Maharani, Renita Marjunus, Ronius Marjunus, Roniyus Mulyana, Yana Rahmat Mustopa, Egi Nasta Melia Dilaga Novianasari, Tika Nuraripin, Ahmad Nurhadi Sasmita Nurul W, Neng Syifa P, Elysa Sri Pauzi, Gurum Ahmad Posman Manurung Pratiwi, Dian Neli Priyambodo Priyambodo Priyambodo Priyambodo Rahmayanti, Dita Ramdona, Eri Muhammad Ramli, Lili Jaenudin Ratnadewi, Anak Agung Istri Ratnadewi Renaldi, Topan Riftaul Kurniawati Rina Utami Risdha Ayu Shinta Dewi Rosada, Cucu S, Khairunnisa Dimyati Saswiyanti, Enny Silvia A, Mita Siska Wulandari Sri Bawani Sri Ratna Sulistiyanti Sri Wahyu Suciyati Sugandi, Sugandi Supiantini, Eulis Surtono, Arif Syafriadi Syah, Khalif Ardian Virnarenata, Elsa Warsito Warsito Warsito Widiasih Yosini Deliana