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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Mulia International Journal in Science and Technical TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 Jurnal Malikussaleh Mengabdi INOVTEK Polbeng - Seri Informatika Journal of Computation Physics and Earth Science Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Eva Darnila
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences Other

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Journal : Journal of Computation Physics and Earth Science

 1 
GP2Y1010AU0F Sensor as Dust Particle Measurement Device: Literature Study on its Efficiency and Application Eva Darnila; Tonny Wahyu Aji; I Made Dwi Pramana Putra
Journal of Computation Physics and Earth Science (JoCPES) Vol 4 No 1 (2024): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v4i1.03

Abstract

Air pollution is an environmental problem that negatively impacts humans and the environment. An air quality monitoring system is required to track the effects of particulate matter (PM), one of the factors that contributes to air pollution. Accurate monitoring equipment is generally expensive and difficult to maintain, so low-cost sensors such as the GP2Y1010AU0F are used as a solution for air quality measurement. This literature review evaluates the efficiency and potential application of the GP2Y1010AU0F sensor by analyzing 20 relevant studies. Based on the review conducted, the GP2Y1010AU0F sensor shows acceptable sensitivity, moderate repeatability, and low error values when measuring air quality. It also showed a good level of correlation with similar devices. The sensor's small size, affordability, and compatibility with microcontrollers make it adaptable to system integration and development into applications and web-based monitoring. However, mass production leads to inconsistency and a reduction in the measurement accuracy of the device. It can be concluded that the GP2Y1010AU0F sensor has potential as a low-cost air quality monitoring equipment with extensive development potential despite its limitations.
Unveiling Seismic Patterns in Kalimantan: Insights into Earthquake Events Over the Last Two Decades (2000-2024) Eva Darnila; Ilham Muthahhari; R. Grata Sabdo Yudhopratidino
Journal of Computation Physics and Earth Science (JoCPES) Vol 4 No 2 (2024): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v4i2.03

Abstract

Seismic activity in Kalimantan, once considered to be relatively minimal, has garnered increased scrutiny due to the presence of active fault lines, including the Mangkalihat, Meratus, and Tarakan faults. This research examines earthquake occurrences in Kalimantan from 2000 to 2024, utilizing seismic data from the USGS and analytical tools such as QGIS and Microsoft Excel. The findings reveal that earthquake occurrences are predominantly located in the northeastern and southeastern parts of the region, with magnitudes varying between 3.9 and 6.1. Notably, the year 2015 experienced a marked increase in seismic events. The results emphasize the critical need for disaster preparedness, the resilience of infrastructure, and the establishment of Early Warning Systems (EWS) to alleviate potential hazards. This study advocates for ongoing monitoring and enhanced public awareness to diminish seismic vulnerability in Kalimantan.  
Atmospheric Dynamics Analysis of Extreme Rain Events Using Radiosonde Observation Method (Case Study of Extreme Rain for The Period Of 21-31 March 2024 in Probolinggo (Paiton), East Java Zaky Aidhil Azzikry; Eva Darnila
Journal of Computation Physics and Earth Science (JoCPES) Vol 4 No 1 (2024): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v4i1.04

Abstract

Rain extreme is one of phenomenon weather extreme that can cause disaster like flood and land landslide. Understanding about dynamics the atmosphere that causes the occurrence Rain extremes are very important to predict and anticipate possibility the occurrence disaster This study aims to analyze dynamics the atmosphere that causes incident Rain extreme in Probolinggo (Paiton), East Java in the period 21-31 March 2024 using method radiosonde observations. Research methods used covered rainfall data collection Rain daily, radiosonde data (temperature, humidity, wind), and real data from the numerical model global weather / climate. Data analysis was carried out using method statistics, visualization of skew-T log-P diagrams, analysis pattern wind, distribution humidity, convergence / divergence, and analysis dynamics atmosphere use equality movement and continuity. Expected results from This research is better understanding deep about dynamics the atmosphere that causes Rain extremes in the study area, such as pattern circulation wind, source water vapor, lifting processes, and mechanisms formation Rain extreme. This research can also give contribution in development system warning early and mitigation disaster related Rain extreme in the study area and other areas with similar characteristics.
Time Series Forecasting for Average Temperature with the Long Short-Term Memory Network in Deli Serdang Geophysics Station Nora Valencia Sinaga; Feriomex Hutagalung; Martha Manurung; Eva Darnila
Journal of Computation Physics and Earth Science (JoCPES) Vol 1 No 2 (2021): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/x2tzpb02

Abstract

An understanding of trends analysis, and prediction of time series of average temperature as one of parameter weather and climate data for climate variables. It is the central process in assessing the state of the climate of a region and provides an overall estimate about the variations in the climate variables. Explore weather trends using normal and local yearly average temperatures, compare and make observations. In this study, we try to analyze local and normal average temperature data in Deli Serdang geophysc Station based on observation station in situ. The main goal of this study to compare the normal temperature to local station and to predict the average temperature data in BMKG Geophysics Station, Deli Serdang, North Sumatra using Long Short-Term Memory Model (LSTM). Based on the result of normal data science of exploring temperature with local temperature correlation, we got the display of training curve, residual plot and the scatter plot are shown using these codes. Based on the temperature series data from Geophysic station, the MSE value is 0.83 and the R2 value is 0.86.
Co-Authors Albertus Tua Simanullang Balqis Melodi Dara Maulidia Ermatita - FATIMAH FATIMAH Feriomex Hutagalung Fuadi, Wahyu I Made Dwi Pramana Putra Ilham Muthahhari Iwan Pahendra Anto Saputra Jabbar, Salamul Kurniawati Lidya Rosnita Martha Manurung Maryana Maryana Marzuki, Sinambela Mauliza Mukti Qamal Munawwar Khalil, Munawwar Mustaqim Mutammimul Ula Naza Amarianda Nora Valencia Sinaga Nunsina, Nunsina Patra Mesiari Tarigan R. Grata Sabdo Yudhopratidino Richki Hardi Risawandi, Risawandi Safwandi Teguh Rahayu Tonny Wahyu Aji Wisnu Wardono Yosvin Apriando Zahratul Fitri Zaky Aidhil Azzikry ZURAIDA ZURAIDA