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Contact Name
Asril Pramutadi Andi Mustari
Contact Email
IJPhysicsITB@gmail.com
Phone
+6222-2500834
Journal Mail Official
ijp-journal@itb.ac.id
Editorial Address
Prodi Sarjana dan Pascasarjana Fisika Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Teknologi Bandung Gedung Fisika, Jalan Ganesa 10, Bandung 40132, INDONESIA
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Kota bandung,
Jawa barat
INDONESIA
Indonesian Journal of Physics (IJP)
ISSN : 23018151     EISSN : 29870828     DOI : https://doi.org/10.5614/itb.ijp
Indonesian Journal of Physics welcomes full research articles in the area of Sciences and Engineering from the following subject areas: Physics, Mathematics, Astronomy, Mechanical Engineering, Civil and Structural Engineering, Chemical Engineering, Electrical Engineering, Geotechnical Engineering, Engineering Science, Environmental Science, Materials Science, and Earth-Surface Processes. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
Articles 334 Documents
Object’s Movement Simulation with Air Drag: Aerodynamics Wall and Knuckle’s Effect Sobar, Fiki Taufik Akbar
Indonesian Journal of Physics Vol 35 No 1 (2024): vol 35 no 1 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.1.1

Abstract

The drag force of air and objects can be analyzed using the Stokes or Quadratic, also known as the Newtonian method. In this research, a Newtonian model was created numerically in Python using a 4th order Runge-Kutta integrator. The integrator will solve the acceleration function experienced by the object when given air resistance into a position function. The object’s movement influenced by variation of drag’s coefficient will provide variations in the location of the aerodynamic wall, the condition when the object moves vertically downwards. The movement of an object that is influenced by air resistance under certain conditions will also experience a lifting force, due to the rotational orientation angle of the object. The movement of objects influenced by these two forces can be modeled as knuckle movement. The results obtained from the numerical solution of the two object conditions are then made into a simple application in the form of a GUI so that users can easily operate the object simulation. This research will be a solution for students to understand the motion of objects influenced by the drag forces that occur when taking classical mechanics courses.
A Review on Exploring the resonant vibration of thin plates: Reconstruction of Chladni patterns and determination of resonant wave numbers Using Research Based Learning Hendra, Nadhira Azzahra; Viridi, Sparisoma
Indonesian Journal of Physics Vol 35 No 1 (2024): vol 35 no 1 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.1.3

Abstract

Belajar adalah proses perolehan pengetahuan atau keterampilan melalui studi atau pengalaman. Salah satu metode pembelajaran untuk meningkatkan pemahaman siswa adalah Research-based Learning (RBL), sebuah metodologi yang bertujuan menanamkan berfikir kritis, kreativitas, dan keterampilan memecahkan masalah. Pada penelitian ini, metode RBL digunakan untuk meningkatkan pemahaman dalam percobaan Chladni dengan mengamati fenomena resonansi ketika pelat diberi getaran dengan frekuensi tertentu serta menentukan besar frekuensi yang menghasilkan pola-pola Chladni. Pada metode ini, siswa akan bekerja dalam kelompok yang terdiri dari 3 orang. Ada lima langkah yang akan dilakukan pada RBL ini: (i) merumuskan masalah dan tujuan, membuat hipotesis, (ii) melakukan eksperimen, mengoleksi data hasil eksperimen (iii) mencari informasi mengenai eksperimen, memproses data (iii) menganalisis data, menjawab rumusan masalah (iv) membuat kesimpulan, (v) mempresentasikan hasilnya kepada dosen/penguji. Pada akhir eksperimen ini siswa mampu membuktikan hukum Chladni.
Multiclass Classification of Covid-19 CT Scan Images With VGG-16 Architecture Using Transfer Learning System Tan, Nurlaila; Arif, Idam
Indonesian Journal of Physics Vol 35 No 1 (2024): vol 35 no 1 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.1.4

Abstract

COVID-19 is a respiratory disease caused by the coronavirus. The most common test technique used today for COVID-19 diagnosis is real-time reverse transcription-polymerase chain reaction (RT-PCR). However, compared to RT-PCR, radiological imaging such as X-rays and computer tomography (CT) may be a more precise, useful, and faster technology for COVID-19 classification. X-rays are more accessible because they are widely available in all hospitals in the world and are cheaper than CT scans, but the classification of COVID-19 using CT scan images is more sensitive than X-rays. Therefore, CT scan images can be used for the early detection of COVID-19 patients. One of them is using the deep learning method. In this study, a CNN algorithm with a VGG-16 architecture will be selected to classify COVID-19, intermediate, and non-COVID CT scan images using 2481 image datasets. First, pre-processing is done by resizing the image, converting the image channel into RGB, and dividing the dataset into a training dataset and a testing dataset. Then, the convolution process is continued by utilizing the pre-trained VGG-16 model from ImageNet. The results of testing the data with 97% accuracy were obtained. It is concluded that the model used to classify COVID-19, intermediate, and non-COVID CT scan images is effective and produces good results.
Mechanical Traction Test of Pineapple Leaf Fiber-Epoxy Composite Noeriman, Abiyoga; widayani, widayani; Adhika, Damar Rastri
Indonesian Journal of Physics Vol 35 No 1 (2024): vol 35 no 1 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.1.5

Abstract

Natural fiber-based composites are widely developed to replace materials in various industries, such as furniture and sound absorbers. One of the composite properties that is often considered for its use is mechanical property. In this study, the mechanical properties of pineapple leaf fiber-epoxy composites were studied using traction tests. The composite was made by mixing of small pieces of pineapple leaf fiber with epoxy resin, then the mixture was placed in a mold and pressed with a certain pressure at 100 °C for 2 hours. Traction tests were carried out on the pineapple leaf fiber-epoxy composites with two different epoxy concentrations (11 and 17 % wt), and different manufacturing pressure (0.22; 0.65; 1.09 MPa). The traction test results show that the maximum stress (ultimate tensile strength/UTS), elongation at break (EAB) and modulus of elasticity (E) increase with increasing epoxy content. Increasing the manufacturing pressure increases modulus of elasticity. However, the maximum UTS and EAB were shown by the composite with a manufacturing pressure of 0.65 Pa, not at the higher pressure (1.09 Pa).
Influence of Concentration of Graphene Oxide to Thermal Diffusivity in Nano-liquid Form Using Thermal Lens Method MON, TING LEE; Sa'at, Nor Kamilah; Azis, Raba'ah Syahidah; Mamat, Md Shuhazlly; Ismail, Nur Quratul Aini
Indonesian Journal of Physics Vol 35 No 2 (2024): Vol 35 No 2 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.2.4

Abstract

This study examines the effect of graphene oxide (GO) concentration on thermal diffusivity in nano-liquid formulations using the thermal lens method. Nano-liquid samples with varied GO concentrations were prepared and analyzed. Results indicate an increase in thermal diffusivity with rising GO concentration up to a threshold, beyond which further increments yield diminishing returns. This behavior is attributed to the unique thermal transport mechanisms enabled by GO nanosheets. These findings offer insights for optimizing GO-based nano-liquids for thermal management applications. Moreover, the study underscores the efficacy of the thermal lens method for probing thermal properties in nanofluid systems.
Evaluation of radioactive contamination of radon gas inside and outside the building of the College of Education - Iraqi University – Iraq muslim, raafat AbdulHasan
Indonesian Journal of Physics Vol 35 No 2 (2024): Vol 35 No 2 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.2.5

Abstract

Radon gas is a major indoor air pollutant, is found inside and outside buildings, and is the main cause of lung cancer. Therefore, determining its concentration levels and the dose resulting from inhalation of this gas is important for the public health of people inside buildings. The aim of the research includes measuring radon gas concentrations in the air inside and outside the building of the College of Education at Iraqi University using a nuclear trace detector (CR-39). The detector (1x2) cm2 was exposed for a full month during the winter because this period roughly represents the official working hours at the college. It is clear from the results of the study that the concentrations of radon gas inside buildings are higher than their concentrations outside buildings, and this increase in concentration is due to the fact that the walls of buildings are the main source of radon generation inside buildings, as it was shown that building materials have played an important role in increasing the concentrations of radon gas inside buildings in addition to the age of the buildings and the height above ground level. The annual equivalent dose values for exposure to radioactive radon gas and its effect on the lungs ranged between 0.43 and 1.34 mSv/y and an average of 0.86 mSv/y. These values are the lowest allowed by ICRP (3-10) mSv/y.
Material Challenges for Corrosive Environments and High Temperatures in Lead-Cooled Fast Reactor Janah, Yulia Miftah Hul; Angelina, Tsania Eksa; Mustari, Asril Pramutadi Andi
Indonesian Journal of Physics Vol 35 No 2 (2024): Vol 35 No 2 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.2.3

Abstract

Research on one of the generation IV reactors, the Lead-Cooled Fast Reactor (LFR), began in the 1950s. The development of this reactor continues until now. However, there are material challenges in the development of LFR. LFR coolant that uses liquid Pb or Pb-Bi is one of the challenges in this reactor because it causes severe corrosion. Researchers have tested various materials such as steel, ceramics, composites, and refractory alloys in liquid Pb or Pb-Bi environments to assess their corrosion resistance. These materials have shown improved radiation performance at high temperatures and have been developed (such as ODS, FeCrAl, SS316, AISI 316 EP823, AISI 304, and HCM12A). However, these materials are not yet sufficiently compatible with corrosion performance. The results indicate that no metal or ceramic material currently proves to be completely resistant to corrosion and radiation over the long term. The LFR system is intriguing but has limited applicability until suitable construction material designs are further identified.
Burn-up Analysis of TRIGA MARK II Research Reactor Fuel Elements Using OpenMC Program Prasetya, Fajri
Indonesian Journal of Physics Vol 35 No 2 (2024): Vol 35 No 2 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.2.2

Abstract

The TRIGA 2000 Bandung research reactor, a TRIGA MARK II type that has been operating critically since 1946, has experienced a significant decrease in criticality. This prompted researchers to implement a reshuffling scheme of 111 fuel elements to optimize burn-up throughout the reactor core area. Burn-up analysis of the TRIGA 2000 Bandung fuel elements has been carried out. This analysis aims to determine the burn-up capability and isotope production of each individual fuel element. The calculation uses the Monte Carlo-based OpenMC code that has gone through the verification and validation (V&V) stage based on the results of the MCNP simulation at 60% control rod withdrawal. Furthermore, the reactor power is varied by 100kW-500kW to see the reactor's ability to maintain criticality (k-eff) and obtain very small excess reactivity (ρ). The calculation of k-eff and ρ for 1 year (12 months) is applied in 2 ways, namely 5 hours per week and real-time. The results of real-time operations can optimize burn-up to near the critical point. The greater the power, the greater the number of neutrons for fission, thus accelerating the consumption of fissile material. The power of 200 kW was chosen for further analysis because at the end of the burn-up, the k-eff and ρ values ​​approached the critical point. The results of the percentage of U-235 and U-238 burn-up to be greater in the middle area of ​​the reactor core (ring B) and consistently decreased towards the edge of the reactor core (ring G). As a result, the mass production of Pu-239 was also very high in the ring B area. This also happened to toxic isotopes such as Sm-149, Xe-133, Xe-135 which tended to be high in that area. The high burn-up rate and isotope production became a reference for future research to apply the reshuffling concept to the TRIGA 2000 Bandung reactor core
Simulation of Three Points Bending SS316 to Know Mechanical Stress with ABAQUS Janah, Yulia Miftah Hul; Mustari, Asril Pramutadi Andi
Indonesian Journal of Physics Vol 35 No 2 (2024): Vol 35 No 2 2024
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2024.35.2.1

Abstract

The operating life of the Gen IV nuclear reactor, which is 60 years, will require material upgrades over a very long period of time. Stability, high reliability, adequate resources, and easy fabrication, as well as weldability, environmental impact, and aging, are other important aspects to consider during the material selection process. SS316 is currently in demand as a structural material for future Gen IV nuclear power plants operating at high temperatures. Although grade SS316 has been studied for current nuclear service conditions and other conventional applications, better data and models for long-term high-temperature properties are needed, especially with regard to primary to tertiary creep strain and creep-fatigue response. The three-point bending test on SS316 material can be modeled with ABAQUS simulation. The purpose of this study is to compare the distribution of the voltage profile for parameters at room temperature (25°C) and high temperature (650°C). In addition, simulations were conducted to compare the effects of load displacement (U2) variations, namely 25, 20 and 15 for each temperature. ABAQUS is an engineering simulation program based on finite element methods that can solve simple linear analysis problems to complex nonlinear simulations. ABAQUS comes with a comprehensive database of elements that can model almost any geometry. This simulation can describe the voltage profile that is spread over the geometry after the required parameters are entered. From the results obtained, the greater the displacement of U2, the smaller the maximum stress that can be resisted by the material. It also shows that at higher temperatures (650°C), materials tend to experience a decrease in strength or maximum stress compared to lower temperatures (25°C). So the material under test experiences a decrease in maximum strength or stress as the temperature increases and the U2 displacement.
Analysis of Temperature Sensors in a Volcanic Detection System Muid, Abdul; Sawita, I Kadek Agus Sara; Appriyana, Nazira; Albab, Alfi Nur; Tarigan, Darell Timothy; Kamal, Muhammad; Evita, Maria; Suprijadi, Suprijadi; Djamal, Mitra
Indonesian Journal of Physics Vol 36 No 1 (2025): Vol 36 No 1 2025
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2025.36.1.1

Abstract

Volcanoes are geological phenomena that can cause significant disasters to human life and the environment, such as eruptions, pyroclastic flows, and lahars. Therefore, early warning systems for volcanoes are crucial to reduce disaster risks and provide sufficient time for evacuation. Monitoring surface temperature and the surrounding air around volcanoes is one of the key parameters in detecting volcanic activity. Temperature increases often serve as an early indication of magmatic activity beneath the surface. This study proposes an early warning system for volcanoes based on temperature sensors integrated with fuzzy logic to monitor volcanic activity in real-time. The system consists of a wireless temperature sensor network based on the Internet of Things (IoT) connected to an IoT platform for data monitoring and analysis. The SHT31D, SHT2X, BME280 and DHT11 sensors are used to measure the ambient temperature, and the temperature data is processed using fuzzy logic methods to detect changes in volcanic activity. The system was tested in both simulation and field environments using sensor node devices consisting of several temperature sensors controlled by a microcontroller. The fuzzy logic algorithm built using 256 rules is able to classify new data from sensor nodes into one of the categories of volcano vulnerability levels, namely “Normal”, “Caution”, “Warning”, or “Evacuate”. This system has the potential to serve as a real-time temperature monitoring tool for volcanoes, supporting disaster mitigation and volcanic activity risk management.

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