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Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics
Published by Universitas Mandiri Bina Prestasi
ISSN : -     EISSN : 29862760     DOI : https://doi.org/10.11594/timeinphys
Core Subject : Science, Education,
Education Mathematics Physics
Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics is a peer-reviewed journal that is published by Universitas Mandiri and managed by the Department of Physics, Faculty of Science, Universitas Mandiri. TIME in Physics is published periodically second times a year in January and August. TIME in Physics provides immediate open access to its content to all readers. The journal is designed to serve academicians, researchers, developers, professionals, and others interested in physics. The articles in TIME in Physics included research and developments in Theoretical Physics, Instrumentation Physics, Material-Molecular Physics, and Physics Education.
Arjuna Subject : Fisika dan Astronomi - Instrumentasi
Articles 35 Documents
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Implementation of Adaptive Neural Fuzzy Inference Systems (Anfis) For Speech Recognition Applications In Smart Home Control Permana, Roni; Sanjaya, W S Mada; Aliah, Hasniah
TIME in Physics Vol. 2 No. 2 (2024): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i2p77-84

Abstract

Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information. Digital Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information in digital form. The speech control system is very efficient. Speech signals are signals that change over time at a relatively slow speed. If observed at short intervals (between 5 and 100 miles per second), the practical characteristics are constant, but if observed at longer intervals, the characteristics appear to change according to the sentences spoken. This study uses the signal pattern recognition method with the MFCC and ANFIS methods as learning. The performance results of the entire system obtained an accuracy value with 6 feature extractions in 2 respondents, namely 65% ​​-72.5% and the smarthome control system worked well.
A Computational Study of Numerical Integration in Physics Applications Using Trapezoidal and Simpson's Methods Suhendra, Muhamad Agung; Assegaf, Sufiyah; Robiyana, Iqbal; Nurizati
TIME in Physics Vol. 2 No. 2 (2024): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i2p85-95

Abstract

This research conducts a comprehensive evaluation of the efficiency and accuracy of two widely-used numerical integration methods, the Trapezoidal Rule and Simpson's Rule, within the context of solving physics-related problems. The study focuses on four representative cases: the calculation of kinetic energy, the determination of electric field strength, the work done by an ideal gas, and the gravitational potential energy. The performance of these methods is analyzed through key metrics such as convergence behavior, error magnitude, and computational time. The findings reveal that Simpson's Rule consistently delivers higher accuracy compared to the Trapezoidal Rule, especially for functions exhibiting non-linear characteristics. This highlights Simpson's Rule as a preferred method for complex physical problems, while the Trapezoidal Rule remains effective for simpler cases requiring lower computational overhead.
Implementation of SCADA with Improvement of DKI Jakarta Flood Control Monitoring System Adianto, Alfret; Roza, Emilia; Siregar, Masbah Rotuanta Tagore; Sofwan, Agus; Ramza, Harry
TIME in Physics Vol. 2 No. 2 (2024): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i2p96-110

Abstract

SCADA (Supervisory Control and Data Acquisition) is a system that can supervise, control and acquire data on a plant. This system uses a computer to display the status of sensors and actuators in a plant, display them in graphical form and store them in a database. Generally, this computer is connected to a Programmable Logic Control (PLC) controller through a certain communication protocol (serial communication). This Engineering Practice Report discusses the improvement of the Jakarta flood control monitoring system uses the SCADA system where currently the use of SCADA is only limited to the visual monitoring display of CCTV cameras with water level elevation notifications and risk level indicators arising from the data received. In the design of the SCADA system in pump houses or flood pump sub-polders in locations spread throughout DKI Jakarta that exist today, especially in the current projects implemented, namely JGC Marunda Sub Polder, Adyaksa Pump House and Tipala Pump House.
Evaluation Study of Power Requirements Planning in Electrical Installations in the Construction of the Pagedangan Tangerang Overpass Bridge Akbar, Januar; Ramza, Harry; Machdi, Agustini Rodiah; Sofwan, Agus
TIME in Physics Vol. 2 No. 2 (2024): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i2p111-117

Abstract

The Pagedangan Tangerang Overpass Bridge is one of the transportation infrastructure in the Tangerang area. The installed electrical loads include lighting loads (lamps) and power loads (which of course require a fairly large electrical power supply. The electrical power installed on the Pagedangan Overpass Bridge is 20,300 W. The power supplied from PLN is 33,000 VA from PLN and the total power capacity of the transformer is 37,500 VA. The results of the drop voltage analysis calculation for the PJU lighting load are 5,530 VA. For the analysis results of the drop voltage of 2.00 V, the voltage drop percentage is 0.42% and the conductor power loss is 12.12 W, the power loss percentage is 0.27%.
Analysis of Caffeine Levels in Pacitan Speciality Coffee Using UV-Visible spectrophotometry Efendi, Yahya; Myesha A, Renetha Salma; Syahnuron, Fathur
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p1-7

Abstract

The Indonesian community, particularly the people of Pacitan Regency, has a deep-rooted connection with coffee. Coffee is a beverage that is almost always served to guests as a customary offering. Pacitan Regency is known for its unique local coffee varieties, namely Kopi Tejo, Kopi Klethik, and Kopi Bima. Coffee contains caffeine, a group of methylxanthine compounds that occur naturally and are classified as xanthine derivatives, belonging to the alkaloid compound group. Caffeine in coffee provides various health benefits when consumed in moderate amounts. This study aimed to analyze the caffeine content in Pacitan’s traditional coffee varieties using UV-Visible spectrophotometry. The analysis revealed that Kopi Tejo contains 0.6040 mg of caffeine per gram, Kopi Klethik contains 0.5547 mg of caffeine per gram, and Kopi Bima contains 0.3213 mg of caffeine per gram.
Identifying Student Misconceptions in Thermodynamics Material Rahmadani, Dea; Angraini, Rini; Fitria, Tazha Eka
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p8-14

Abstract

This study aims to identify students' misconceptions in studying thermodynamics. This test includes (1) identifying whether students have misconceptions or not, (2) determining the part of the material where students have misconceptions, and (3) revealing the factors that cause these misconceptions. This study uses a literature review method by analyzing 15 articles and theses as samples. Data were collected through collecting scientific articles and theses that have similar topics related to students' misconceptions in thermodynamics, which were then analyzed. The results of the study showed that several misconceptions were found related to the concepts of work, heat, and energy in the system, thermodynamic processes such as isobaric, isochoric, and isothermal, the laws of thermodynamics, and quantitative interpretations such as PV diagrams. The factors causing these misconceptions are in-depth understanding, abstract nature of the material, lack of practical experience, ineffective teaching methods, and the use of inaccurate textbooks. To overcome this problem, diagnostic methods such as three-level diagnostic tests, clinical interviews, and interactive teaching efforts are considered important in identifying and correcting misconceptions.
Utilization of Pineapple as Essential Oil for Respiratory Disorders: Case Study Permana, Roni; Afiyatusyifa, Fidya; Dewi, Riska Yuliana
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p15-19

Abstract

This study aims to examine the effectiveness of pineapple (Ananas comosus) Essential oil in alleviating mild respiratory disorders such as cough and shortness of breath. A quasi-experimental method was used, involving two groups: an experimental group receiving therapy with pineapple Essential oil and a control group receiving warm water without oil. The results showed a significant reduction in respiratory symptoms in the experimental group (p < 0.01), while no significant change was observed in the control group. The bromelain content and volatile compounds in pineapple play a role in reducing inflammation and helping to open the airways. These findings indicate that pineapple Essential oil has potential as a natural alternative therapy for mild respiratory problems.
Electric Lamp Light Intensity System Using Blynk Based Internet of Things Saepurohman, Asep; Ramza, Harry; Sofwan, Agus
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p20-30

Abstract

Internet of things (IoT) is a requirement that is being developed a lot in smart homes today. Currently, many technology developers create smart devices that can make human work easier. Smart home systems are one of them. In a smart home system, physical devices can communicate via the internet network or other near cable networks to monitor or control devices in a house or building. In order to be able to monitor or control the physical device is integrated with sensors and actuators. One implementation of a smart home is controlling the light intensity of the lights which can be adjusted using the sleader command on Blynk IoT which is installed on the smartphone. The aim of this research is for users to be able to control the light intensity of house lights by using the sleader command on the Blynk IoT application by house occupants. The method used in this research is IoT. IoT-based communication methods allow data exchange between devices. The result of this research is that a lighting control system can be built using Blynk IoT. A feature has been added to this system to control the electrical power that will enter the lamp, so that it can regulate the light intensity according to needs. The success of the system is influenced by the Blynk IoT response when giving a signal to the Node MCU 8266 and the DIMMER response when receiving a command signal from the NODE MCU8266.
Calibration and Signal Processing of MPU6050 Sensor to Improve Navigation Stability of Autonomous Underwater Vehicle (AUV) Putro, Permono Adi; Pinardi, Kuntjoro; Ramadhan, Aditia; Zein, Aulia Sultan Rafael; Nurfalah, Yokeu
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p31-44

Abstract

A stable and accurate navigation system is crucial for the operation of Autonomous Underwater Vehicles (AUVs), especially in underwater environments where GPS signals are unavailable. This study aims to enhance AUV navigation performance by optimizing the use of a low-cost inertial sensor, the MPU6050, through calibration and signal processing techniques. The methodology includes reading raw data from accelerometer and gyroscope sensors, performing static calibration to reduce bias and noise, applying Fast Fourier Transform (FFT) for signal analysis, and implementing digital filters such as low-pass and high-pass filters. The raw data reveal significant deviations due to gyroscope bias and accelerometer noise. Static calibration effectively reduces systematic errors, although residual biases remain. FFT analysis identifies dominant frequency components in each axis, while digital filtering helps eliminate irrelevant frequency noise. Precision testing demonstrates that the sensor produces relatively stable data post-calibration, with the Z-axis showing higher deviation compared to the X and Y axes. The combination of calibration and signal processing methods significantly improves the data quality and reliability of the MPU6050 sensor. This research contributes to the development of more efficient and low-cost AUV navigation systems and supports the broader application of simple IMU sensors in underwater exploration and maritime technologies.
Needs Analysis for the Development of an E-Worksheet on Global Warming Integrated with Ethno-PBL to Facilitate Students' Knowledge and Creative Thinking Skills Wardatul Fajriyaty; Asrizal; Harman Amir; Hayyu Yumna
TIME in Physics Vol. 3 No. 2 (2025): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The mastery of 21st-century skills, particularly the 4Cs (critical thinking, creativity, communication, and collaboration), is not yet optimally supported by conventional learning approaches. The Ethno-PBL approach is considered effective in enhancing the relevance and meaningfulness of learning by linking scientific concepts with local context and indigenous knowledge. This study employed a descriptive statistical analysis, with data collected through questionnaires administrated to teacher and student. The research revealed four main findings from the needs analysis: students' knowledge was categorized as fairly good, with an average score of 56.11, while their creative thinking skills remained low, with an average score of 30.1. The use of E-Worksheets in school learning was classified as fairly good, with a score of 41.67. The integration of ethnoscience in learning was rated as poor, with a score of 36.25. The integration of the problem-based learning (PBL) model was considered fairly good, with a score of 41.3. These results indicate that the development of an Ethno-PBL integrated E-Worksheet is urgently needed by both teachers and students to improve creative thinking skills.

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