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Lontar Physics Today
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 28280970     DOI : https://doi.org/10.26877/lpt
Core Subject : Science, Education,
Education Physics
LONTAR PHYSICS TODAY is a scientific journal published by the Physics Education Study Program, Universitas PGRI Semarang with the scope of all areas in the fields of physics and physics education. Lontar Physics Today papers will be published three times a year on February, June, and Nopember by Physics Education study program, Universitas PGRI Semarang, Semarang, Central Java, Indonesia. Please read this guide carefully. Authors who wish to submit their manuscripts to the editors of the Lontar Physics Today must comply with the writing guidelines. If the submitted manuscript does not comply with the guidelines or is written in a different format, it will be rejected by the editor before further review. The editor will only accept manuscripts that meet the specified format.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 76 Documents
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Pengaruh Filter Citra terhadap CT Number pada Pesawat CT Simulator Purwatiningsih, Purwatiningsih; Prasetio, Heru; Haerunnisa, Dyah Nuriska
Lontar Physics Today Vol 3, No 1 (2024): Februari 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v3i1.19322

Abstract

Abstrak. CT Simulator merupakan salah satu penunjang proses radioterapi dengan menentukan lokasi dan kepadatan jaringan organ pasien dalam koordinat tertentu yang disebut piksel. Setiap piksel memiliki satuan yang disebut CT number atau Hounsfield Unit (HU) yang menggambarkan besarnya redaman radiasi pada jaringan. CT number terkait dengan Relative Electron Density (RED) yang perlu diukur secara langsung untuk memverifikasi hasil perhitungan dosis di TPS. Penelitian ini bertujuan untuk mencari pengaruh filter citra terhadap CT number menggunakan parameter pemindaian 120 kV, 200 mAs, slice thickness 1 mm dan variasi filter Smooth, Sharp, dan Standard pada Phantom CIRS 062M Electron Density dengan metode akuisisi Helical dan Axial scanning. Hasil penelitian filter Smooth, filter Sharp dan filter Standard pada setiap metode akuisisi citra Helical dan Axial Scanning tidak berpengaruh secara signifikan terhadap nilai CT number yang didapatkan. Hal ini dapat diketahui dari semua hasil uji statistik yang memperoleh nilai signifikansi p 0,05 (tidak ada perbedaan).Kata kunci: Radioterapi, CT number, Filter Citra, Helical Scanning, Axial Scanning, Relative Electron DensityAbstract. CT Simulator is one of the supports for the radiotherapy process by determining the location and density of the patient's organ tissue in certain coordinates called pixels. Each pixel has a unit called a CT number or Hounsfield Unit (HU) which describes the amount of radiation attenuation in the patient's organs. The CT number is related to the Relative Electron Density (RED) which needs to be measured directly to verify the dose calculation results at the TPS. This study aims to find the effect of image filters on CT number values using scanning parameters of 120 kV, 200 mAs, slice thickness 1 mm and the use of Smooth filter, Sharp filter, and Standard filter on the Phantom CIRS 062M Electron Density scanning process with Helical and Axial scanning acquisition methods. The results of the study with variations of Smooth filters, Sharp filters and Standard filters on each method of Helical and Axial Scanning image acquisition did not significantly affect the CT number obtained. It can be seen from all statistical test results that obtained a significance value of p 0.05 (no difference).Keywords: Radiotherapy, CT number, Image Filter, Helical Scanning, Axial Scanning, Relative Electron Density
Upaya Meningkatkan Aktivitas dan Hasil Belajar Fisika Menggunakan Model Pembelajaran Student Teams Achievement Division (STAD) Farid, Muhammad
Lontar Physics Today Vol 2, No 3 (2023): November 2023
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v2i3.18115

Abstract

Penelitian ini bertujuan untuk menerapkan metode Student Teams Achievement Divisions (STAD) untuk meningkatkan hasil belajar fisika siswa. Penelitian Tindakan Kelas digunakan sebagai metode penelitian berdasarkan model Kemmis dan McTaggart. Siklus penelitian dimulai dari perencanaan, pelaksanaan tindakan, observasi, serta refleksi dan penilaian. Dalam dua siklus, penelitian ini dilakukan pada 32 siswa (23 perempuan dan 9 laki-laki) dari kelas XI MIPA SMA Muhammadiyah 1 Semarang. Instrumen yang digunakan adalah instrumen aktivitas siswa dan instrumen hasil belajar. Dalam penelitian ini nilai KKM adalah 75. Sedangkan tingkat keaktifan siswa minimal cukup (70%). Data aktivitas dan hasil belajar siswa dianalisis secara deskriptif kuantitatif. Hasil penelitian menunjukkan terjadinya peningkatan hasil belajar siswa dengan nilai rata-rata N-gain spada siklus 1 sebesar 0,23 dan siklus 2 sebesar 0,7. Penelitian ini menunjukkan 18 siswa dengan dengan interprestasi tinggi, 14 siswa dengan interprestasi sedang, dan tidak ada interprestasi rendah. Hasil penelitian menunjukkan bahwa penggunaan pendekatan STAD berhasil untuk meningkatkan hasil belajar siswa SMA.
Digital Experiments in Learning the Concept of Gravitational Force in Classical Mechanics Mahombar, Alexander
Lontar Physics Today Vol 4, No 3 (2025): November 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v4i3.25245

Abstract

Gravitational force is one of the fundamental forces that plays an important role in understanding the interaction between massive objects in the universe. However, in physics education, this concept is often difficult to understand concretely due to the limitations of real experiments. This research purpose to analyse the relationship between mass, distance, and gravitational force using the PhET Gravity Force Lab: Basics interactive simulation, as well as to prove its conformity with Newton's Law of Gravity. The research method used was a virtual experiment with a quantitative descriptive approach. Data was obtained by conducting three stages of experiments, namely observing gravitational force on objects of the same and different masses, the relationship between force and mass at a fixed distance, and the relationship between force and distance at a fixed mass. The results showed that gravitational force increased as the mass of objects increased and decreased significantly when the distance between objects increased. The conclusion of this study was that it proved the theory that gravitational force is directly proportional to the product of the masses of the two objects and inversely proportional to the square of the distance between them, in accordance with Newton's Law of Gravity, and showed that the forces were opposite but equal in magnitude, as described in Newton's Third Law.
Arduino Uno Based Automatic Fruit Maturity Detection System for Orange (Citrus sp.) and Bell Fruits (Syzygium aqueum) Using Electrical Conductivity Ummah, Auliya Rahmatul; Fitriani, Ade; Nur Hanafi, Kholis; Syahrir, Syahrir; Supriyanto, Supriyanto; Zarkasi, Ahmad
Lontar Physics Today Vol 4, No 3 (2025): November 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v4i3.25513

Abstract

Accurate determination of fruit ripeness is essential to maintain product quality, flavor, and market value. However, traditional manual assessment methods, which rely on sensory observation (color, aroma, and texture), are often subjective and inconsistent. This study aims to design and develop an automatic fruit ripeness detection system based on electrical conductivity measurement in oranges and bell fruits. The system utilizes a three-electrode stainless steel needle probe connected to an ADS1115 Analog-to-Digital Converter (ADC) module and an Arduino Uno microcontroller. A refractometer was used for system calibration and reference data acquisition. Measurements were performed by inserting the probe into the fruit pulp to read the voltage value of the fruit's fluid. This electrical signal was correlated with the reference sugar content (%Brix) and subsequently classified into three categories: ripe, half-ripe, and unripe. Results show that the average voltage range for oranges in the ripe, half-ripe, and unripe categories was 2.74 V, 2.58 V, and 2.32 V, respectively. For bell fruits, the corresponding voltage ranges were 2.48 V, 2.26 V, and 2.08 V. These voltage values were derived from the experimental data presented in Table 1 and  Table 2. The abstract  reports the average voltage for each ripeness category, whereas the tables list individual measurement values, resulting in slight differences between the summarized and detailed data. The average relative error of the measurement was found to be approximately 5 %, which is considered acceptable for practical field application. This indicates that the developed system is capable of classifying fruit ripeness in a non-destructive, accurate, and rapid manner.
Effects of Integrating Deep Learning with a Project-Based Learning Model on Thermodynamics Learning Outcomes Makahinda, Tineke; Lahope, Kenny Setiawan; Kuron, Meidy Atina
Lontar Physics Today Vol 4, No 3 (2025): November 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v4i3.25521

Abstract

This study investigates the difference in Thermodynamics learning outcomes between students taught using a Project-Based Learning (PBL) model integrated with deep learning and those taught using the PBL model alone.. The research employed an experimental method with a quasi-experimental design, utilizing a Nonequivalent Pretest-Posttest Control Group Design. The study was conducted in the Physics Department of Manado State University for Physics Education and Physics programs during the Odd Semester of the 2025/2026 Academic Year. The research population included all active students from these programs, with a random sample of 40 students divided into an experimental class and a control class, each consisting of 20 students. Data were collected through essay-type tests, administered as pretests and posttests, and subsequently analyzed statistically using descriptive and inferential techniques with Python programming. The findings indicate that the experimental class, which implemented deep learning integrated with the Project Based Learning model, achieved a higher average Thermodynamics learning outcome (80.28) compared to the control class (72.35), demonstrating better data consistency (standard deviation of 7.93 versus 9.71). Shapiro-Wilk normality tests for both classes confirmed a normal distribution of data (p-value for experimental class is 0.3147 while control class is 0.0638), and Levene's homogeneity test confirmed homogeneous variances (p-value 0.2529). Furthermore, the independent sample t-test results showed a t-statistic of 2.8289 and a p-value of 0.0074, which is less than 0.05. This leads to the conclusion that there is a statistically significant difference in Thermodynamics learning outcomes between the experimental and control classes. These findings suggest that the integration of deep learning with the Project Based Learning model is effective in enhancing Thermodynamics learning outcomes.
The Effectiveness of the Application of the Virtual Lab-Assisted ARIAS Learning Model on Motion and Force Materials in Improving the Cognitive Learning Outcomes of Grade VII Students of SMPN 1 Bangko Pusako Ferdiansyah, Ferdiansyah; Irianti, Mitri; Ernidawati, Ernidawati
Lontar Physics Today Vol 4, No 3 (2025): November 2025
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/lpt.v4i3.25653

Abstract

The low achievement of student learning outcomes is due to the lack of interest and activity of students in the learning process. Students do not understand the material and are not active during learning due to the monotonous learning model. This study is to describe and determine the effectiveness of the application of the ARIAS learning model combined with a virtual lab on motion and force materials in improving the cognitive learning outcomes of grade VII students of SMPN 1 Bangko Pusako. The study used a quasi-experiment approach with a Non-Equivalent Post-test Only Group Design. The sample consisted of two classes, namely the control class (28 students) and the experimental class (29 students). The research instrument is in the form of an objective test to determine students' cognitive learning outcomes. The data were analyzed through normality, homogeneity, and hypothesis tests. The results of the study stated that there was a significant difference in the cognitive learning outcomes of students in both classes. The average score of the experimental class was 71.7 (good category), and the control class got an average score of 53 (good category). After the Mann-Whitney U Test, a significance value of 0.000 (0.05) was obtained, so it was concluded that the virtual lab-assisted ARIAS model was effective in improving students' cognitive learning outcomes on motion and force materials.

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