cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Risa Suryana
Contact Email
rsuryana@uns.ac.id
Phone
-
Journal Mail Official
ijap@uns.ac.id
Editorial Address
-
Location
Kota surakarta,
Jawa tengah
INDONESIA
INDONESIAN JOURNAL OF APPLIED PHYSICS
Published by Universitas Sebelas Maret
ISSN : 20890133     EISSN : 24776416     DOI : -
Core Subject : Science,
Astronomy Energy Materials Science & Nanotechnology Physics
Indonesia Journal of Apllied Physics provides rapid publication of short reports and important research in all fields of physics. Indonesia Journal of Apllied Physics publishes articles that are of significance in their respective fields whilst also contributing to the disclipline of physics as a whole. Articles should be submitted to the Editorial Office of Indonesia Journal of Apllied Physics through this site. Further information on submission is also available at this site
Arjuna Subject : -
Articles 239 Documents
 19   20   21   22   23 
Lung Cancer Classification using Gray-Level Co-Occurrence Matrix Feature Extraction and Forward Selection Feature Selection based on the K-Nearest Neighbor Algorithm Soeparmi, Soeparmi; Yunianto, Mohtar; Amalia, Lukmaniyah Rizky
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 1 (2025): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i1.90378

Abstract

In diagnosing lung cancer, the medical imaging team manually identifies CT-scan images of the lungs. This identification process makes it difficult for the medical imaging team to differentiate between lung cancer and normal images. This is because there is noise in the image, which reduces the image quality, so image processing must reduce the noise. This study used median and Gaussian filters, Otsu thresholding segmentation, GLCM feature extraction, forward selection, and k-nearest Neighbor classification. The research results show that of the 22 statistical features extracted, only 16 were selected for characterizing image classification. The image datasets used are 900 image data sets for program training and 100 image data sets for program testing. With a dataset of 100 image data sets, the level of diagnostic accuracy without forward selection (22 GLCM features) was 81.67%, while the diagnostic accuracy using forward selection (16 GLCM features) was 93.22% with a sensitivity of 92.25% and specificity is 94.46%.
Analysis of Earthquake Vulnerability of The Demak Coastal Area based on the HVSR (Horizontal To Vertical Spectral Ratio) Method Nurwidyanto, Muhammad Irham; Harmoko, Udi; Gernowo, Rahmat; Fernando, Gregrius Alvin; Koesuma, Sorja
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 2 (2024): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i2.90703

Abstract

Most of the Demak Coastal area, especially on the north coast, has a subsurface structure which is quite thick sediment. The impact of an earthquake will cause damage to subsurface structures and buildings above it, so a method is needed that can determine earthquake vulnerability in an area to take mitigation steps. This research aims to analyze vulnerability to earthquakes based on natural frequency (fo), amplification (Ao) and seismic vulnerability index (SVI). The research was carried out by measuring the microseismic signal response at 89 locations using a 3-component seismograph and data logger. The research results showed that the dominant frequency varied from 0.26 – 5.26 Hz, the amplification factor varied from 0.51 – 3.56 and the seismic susceptibility index varied from 0.14-14.77 micro cm2/s. The study area was classified into low SVI (SVI < 5), medium SVI (5 < SVI < 10), and high SVI (SVI > 10).  The potential earthquake hazard described by SVI with a value range of 10 < SVI (high classification) is found at observation station 60 (Bedono Hamlet) and observation station 70 (Karangwaru Hamlet Cemetery)
Evaluation of Bogie Bolster Centre Plate and Side Bearing under Vertical Static Loads through Finite Element (FEA) Modelling Artha Wirawan, I.P.; Ary Subagia, I.D.G; Adiatmika, I.K; Farid, A.R
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.105272

Abstract

The bolster is one of the main structural elements in railway bogies, playing the central role of transmitting vertical and dynamic loads from the train body to the wheel-sets. The mechanical behavior of an ASTM A148 Grade 80-50 material bolster under vertical static loading is examined in this work. This simulation is analyzed by applying the Finite Element Analysis (FEA) using student version software with nonlinear static analysis, which was run with a tetrahedral mesh and Newton-Raphson iteration. There are three variables, respectively, two variables as dependent, such as Von Misses Stress (VMS) and total deformation resulting from the loading condition. Then, the independent variable is a loading value based on the AAR M-202 standard. In this work, three values of loading condition were carried out, such as P1 = 536010.7 N, P2 = 854058.8 N, P3 = 1027500 N respectively. The result of the simulation shows that the maximum average stress in the critical area is 305.58 MPa, which is still less than the yield strength of the material at 390 MPa. The maximum elastic deflection of 0.102 mm is well within the AAR M-202 standard allowable values. In conclusion, bolster bogie based on ASTM A148 Grade 80-50 has reliability for static loading and is available with a safety factor according to the AAR M-202 standard.
Electrical Resistivity and Magnetoresistance Properties of Cation A-site substitution in La0.8-xAgxCa0.2MnO3 (x = 0.1 and 0.15) Munazat, Dicky Rezky; Kurniawan, Budhy; Kamila, Rina; Manawan, Maykel; Imaduddin, Agung
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.80160

Abstract

The polycrystalline sample of La0.8-xAgxCa0.2MnO3 (x = 0.1 and 0.15) has been successfully synthesized using a sol-gel method in our previous work. Here, we have investigated the electrical resistivity and magnetoresistance of both samples. All samples exhibited metallic behavior, as evidenced by the resistivity data measured in the temperature range from 9 to 285 K. As silver concentration increases, the resistivity decreases throughout the whole explored temperature range. Increasing silver ion concentration improves double exchange interaction (DE) between Mn3+ and Mn4+ which is responsible for gradually decreasing resistivity. The electrical transport is quite well described by a theory based on grain boundary factor, electron-electron interaction, and Kondo-like spin-dependent scattering mechanisms. Both samples show low-field magnetoresistance (LFMR) at low temperatures. The maximum magnetoresistance values for both samples were observed at 15 K, with values of -23.16% and -25.17% for x = 0.10 and 0.15, respectively.
Machine Learning-Based Cow Milk Quality Classification using Recursive Feature Elimination Cross-Validation Wicaksono, Damar; Mareta, Affix; Erdiyanto, Ardy; Afianah, Nuzula; Ramadhani, Rafly
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 2 (2024): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i2.85064

Abstract

Milk quality is of paramount importance as it directly impacts consumer health and well-being. High-quality milk is rich in essential nutrients such as calcium, protein, and vitamins, contributing to overall nutrition. Moreover, ensuring milk quality is vital for preventing the transmission of diseases and contaminants through dairy products. Therefore, research in this field is essential to guaranteeing the safety and nutritional value of milk consumed by individuals of all ages. In this paper, the design of machine learning-based grade measuring devices with recursive feature elimination with cross-validation (RFECV) is carried out as a guide in the design of a milk grade detection system. The milk is rated as low, medium, or high based on these criteria. The sensors will gather this information from the milk with the aid of the microcontroller. The algorithms utilized in this study and the results obtained from K-Nearest Neighbors (KNN) combined with the RFECV algorithm have a higher accuracy value: 17,20% better than the support vector machine (SVM) model, 25.37% better than the single K-Nearest Neighbors (KNN), and 26.37% better than the random forest (RF) model trained without RFECV. Using seven input features (pH, temperature, taste, odor, fat, turbidity, and color), the proposed model produces 96.27% accuracy.
Interpretation of 3 D Magnetic Inversion Results in the Majenang Area, Indonesia Handyarso, Accep
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 1 (2025): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i1.61501

Abstract

The Total Magnetic Intensity (TMI) data requires conversion using Reduction to Pole (RTP) or Reduction to Equator (RTE) filters prior to the interpretation process. However, the low latitude location causes stability issue in the RTP and is replaced by the RTE computing processes. Noteworthy, the RTE results have inverted polarity. An inverse modeling scheme based on direct use of TMI data using equivalent‑source provides an alternative solution to address this issue. In this research, synthetic modeling of a strike‑slip fault geometry is conducted to assist the interpretation process in order to guide during recognizing similar anomaly contour patterns in field datasets. TMI data interpretation was conducted in a volcanic area located in Majenang, Central Java. According to the research findings, a dextral strike‑slip fault with a northwest‑southeast lineament is delineated. This fault is interpreted as part of the Pamanukan‑Cilacap Fault Zone (PCFZ). Additionally, a circular anomaly is exposed and inferred to be the edge of ancient‑volcanic‑caldera (ring‑fault or caldera‑rims) in the study area. Both results were confirmed through a comparison of geomagnetic and gravity data. The high‑susceptibility zone correlates well with the high‑density zone and the outcrop of the Sangkur Volcano's intrusion body, which is inferred precedes the intrusion body of the Kumbang Volcano. The intrusive bodies located around the PCFZ manifest the presence of a weak zone that has been intruded by magmatism, contributing to the formation of volcanoes along the fault as a volcano‑tectonic setting in the area.
Magnetic behavior identification of high-purity hematite (Fe2O3) extracted from iron ore by co-precipitation method Fauzi, Fauzi; Rahwanto, Adi; Malahayati, Malahayati; Machmud, M. Nizar; Jalil, Zulkarnain
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.107933

Abstract

Magnetic mineral identification was successfully carried out on the iron ore from Manggamat in South Aceh Regency, Indonesia. This initial study was conducted in an attempt to increase the added value of local minerals. This study was performed by using co-precipitation method combined with mechanical milling and analyzed using X-ray diffraction and fluorescence (XRD, XRF) and the magnetic properties evaluated by Permagraph. These investigations indicate that the dominant phase in the Manggamat iron ore is hematite (Fe2O3), showed a content of 85.31%, followed by SiO2 compounds (11.01%), and the lowest concentration was SnO2 (0.02 %). Furthermore, observation of the magnetic properties showed that the magnetic saturation (Ms) of 0.1 Tesla, then residual magnetization or remanent (Br) of  0.017 Tesla, and a reverse magnetic field or coercivity (Hc) of 12.39 kA/m. As the milling time increased, the magnetic saturation and remanent field decreased, whereas the coercive field increased. This characteristic is known as the superparamagnetic behavior which widely used in biomedical application.
Estimation of Tsunami Hazard and Evacuation Sites using The Cornell Multigrid Couple Tsunami Method in South Button Regency Ilham, Ilham; Safani, Jamhir; Muliddin, Muliddin; Sulistian, Teguh; Koesuma, Sorja
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 1 (2025): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i1.97008

Abstract

The 1992 earthquake and tsunami in the Flores Sea proved that the tsunami impacted the people of the South Buton Region. This research aims to map tsunami hazards and estimate evacuation routes and sites in the South Buton Regency. These evacuation routes and sites are very crucial for disaster preparedness and reducing the risk of tsunami disasters. This research simulates the tsunami wave hazard from the 1992 Flores earthquake using the Cornell multigrid coupled tsunami (COMCOT). We designed the study area in five layers and seven sublayers, encompassing 13 villages on the coast of South Buton Regency. The research generated seven tsunami hazard maps based on the number of existing sublayers, each equipped with evacuation routes and locations. In general, the seven study areas have two tsunami hazard levels: a hazard level with an inundation height of less than 0.5 m and a hazard level with an inundation height of 0.5–3 m. The tsunami inundation distance for the height of 0.5-3 m varies. The shortest inundation distance is 5–33 m in Lakambau and Laompo Villages, while the farthest distance is 57–98 m in Katampe, Lamaninggara, and Molona Villages. Apart from that, the tsunami wave arrived around 35–45 minutes after the earthquake. The fastest arrival time is 35 minutes in Bahari Village, which is closest to the source of the tsunami. The results of the study recommend 17 temporary evacuation sites (TES) and 7 final evacuation sites (FES) in the research area.
Scanning Electron Microscopy and Magnetic Characterization of Iron Oxides in Suspended Sediments Sudarningsih, Sudarningsih; Bijaksana, Satria; Widodo, Widodo; Iskandar, Irwan; Dahrin, Darharta; Fajar, Silvia Jannatul; Kirana, Kartika Hajar; Yunginger, Raghel
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 2 (2024): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i2.76582

Abstract

River sediment is the product of a sedimentation process in the river environment that originates from the weathering of bedrock or erosion processes, organic materials, particles, or anthropogenic substances. Previous research shows the magnetic mineral content in the sediments of the Citarum River and its tributaries. Suspended sediment was collected from the Citarum River and its tributaries in West Java, Indonesia, for mineralogical and granulometric analysis. The aim of this research is to distinguish between magnetic mineral sources, a scanning electron microscope equipped with energy dispersive X-ray spectroscopy (SEM-EDX), and rock magnetism. The hysteresis parameter verifies that the XRD measurement results show that the main magnetic minerals in suspended sediments are ferrimagnetic minerals such as magnetite (Fe3O4). According to the results of the SEM-EDX investigations, the magnetic granules in the Citarum River and its tributaries derive from two distinct sources: pedogenic and anthropogenic. The Citarum River and its tributaries’ magnetic granules are generally octahedral or angular in shape, with broken corners, indicating a pedogenic origin
Optimizing Formalin Detection in Fish Using QCM Sensors with TOMAC Membrane Coatings for Product Quality Monitoring Muthmainnah, Muthmainnah; Aini, Khoirul; Tazi, Imam; Chamidah, Ninik; Kusairi, Kusairi
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 2 (2024): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i2.92912

Abstract

Detection of formalin in fishery products is a significant concern in the food industry to ensure consumer safety. This study compared the performance of Quartz Crystal Microbalance (QCM) sensors without a membrane and with a Trioctyl methyl ammonium Chloride (TOMAC) membrane coating in detecting formalin in fish samples. The research findings indicate that QCM without a membrane for formalin samples has a lower detection limit of 150 ppm and an upper detection limit of 350 ppm with a sensitivity of 2194.171 Hz/ppm. On the other hand, QCM with a TOMAC membrane coating has a lower detection limit of 400 ppm and an upper detection limit of 550 ppm with a sensitivity of 842.7551 Hz/ppm. Meanwhile, QCM without a membrane for formalin in fish samples has a lower detection limit of 450 ppm and an upper detection limit of 650 ppm with a sensitivity of 15386.38 Hz/ppm. At the same time, QCM with a TOMAC membrane coating for formalin in fish samples has a lower detection limit of 350 ppm and an upper detection limit of 500 ppm with a sensitivity of 23108.9 Hz/ppm. Response time analysis shows that both sensors reach a steady state condition after 12 seconds. This study highlights the importance of selecting appropriate sensors for detecting formalin in fishery products, considering detection limits, sensitivity, and response time as crucial criteria. Thus, these findings can guide the fisheries industry in choosing effective and accurate formalin detection technology.

Page 21 of 24 | Total Record : 239

 19   20   21   22   23 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 16, No 1 (2026): April ( Article in press ) Vol 15, No 2 (2025): October Vol 15, No 1 (2025): April Vol 14, No 2 (2024): October Vol 14, No 1 (2024): April Vol 13, No 2 (2023): October Vol 13, No 1 (2023): April Vol 12, No 2 (2022): October Vol 12, No 1 (2022): April Vol 11, No 2 (2021): October Vol 11, No 1 (2021): April Vol 10, No 01 (2020): April Vol 10, No 2 (2020): October Vol 9, No 02 (2019): October Vol 9, No 01 (2019): April Vol 8, No 2 (2018): October Vol 8, No 1 (2018): April Vol 7, No 2 (2017): October Vol 7, No 1 (2017): April Vol 6, No 02 (2016): October Vol 6, No 01 (2016): April Vol 5, No 02 (2015): October Vol 5, No 01 (2015): April Vol 4, No 02 (2014): October Vol 4, No 01 (2014): April Vol 3, No 02 (2013): October Vol 3, No 01 (2013): April Vol 2, No 02 (2012): October More Issue