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All Journal APPROACH: Jurnal Teknologi Penerbangan Indonesian Science Education Journal (ISEJ)
Farid Baskoro
Universitas Negeri Surabaya, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Education Electrical & Electronics Engineering Other

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Arduino-Based Moving Average Filter Implementation for ‎Increasing Stability Measurement of Digital Temperature in ‎Climate Monitoring Systems Micro Moh Habibush Shidqi; Farid Baskoro; Rifqi Firmansyah; Lilik Anifah
ISEJ : Indonesian Science Education Journal Vol. 7 No. 2 (2026): February-May
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/isej.v7i2.2244

Abstract

Climate monitoring microsystems require stable, accurate temperature measurements to support real-time environmental analysis; however, digital temperature sensors often exhibit fluctuations due to noise, signal interference, and rapid environmental changes, thereby reducing measurement quality and reliability. This study implemented a Moving Average Filter (MAF) on an Arduino-based climate-monitoring microsystem to improve the stability of digital temperature measurements. The system was designed using an integrated digital temperature sensor connected to an Arduino microcontroller, while temperature data were processed using the MAF algorithm. Performance testing was conducted by comparing sensor readings before and after the filter's implementation, using data-level analysis and stability deviation measurements. The experimental results showed that implementing the Moving Average Filter significantly reduced fluctuations in temperature data, yielding more stable and consistent readings than the unfiltered system. In addition, the proposed method improved the quality of temperature monitoring without excessively increasing system complexity. Therefore, Arduino-based Moving Average Filter can be considered an effective and practical solution for enhancing the performance of digital temperature sensors in climate monitoring microsystems.
Analysis of Human Factor Trends in Aircraft Accidents in Indonesia for The Period 2015-2024 Muhammad Roil Billad; Alyssa Brilliani Suryanto Suryanto; Farid Baskoro; Dimas Arya Soeadyfa Fridyatama
Approach : Jurnal Teknologi Penerbangan Vol. 8 No. 1 (2026): Maret 2026
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/approach.v8i1.2530

Abstract

This study aims to analyze the trend of Human Factor in aircraft accidents in Indonesia during the 2015–2024 period. Human Factor is an essential component of aviation safety because it relates to a person’s ability to make decisions, maintain situational awareness, communicate, and consistently follow procedures. This research uses a quantitative descriptive method with data collection techniques through document study of publicly available accident reports, as well as content analysis to identify Human Factor elements that appear in each case. The obtained data were coded into specific categories such as decision-making errors, loss of situational awareness, communication issues, fatigue, and procedural non-compliance, then calculated based on their frequency to observe patterns of change over the years. The results show that Human Factor remains a significant contributor to aircraft accidents, with an increasing trend in fatigue and decision-making aspects over the last five years. These findings emphasize the need for improved training, procedural oversight, and risk management to reduce the potential for human error in aviation operations in Indonesia
Co-Authors Alyssa Brilliani Suryanto Suryanto Dimas Arya Soeadyfa Fridyatama Lilik Anifah Moh Habibush Shidqi Muhammad Roil Billad Rifqi Firmansyah