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All Journal Perfecting a Video Game with Game Metrics Geographica: Science and Education Journal
Wahyu Sasongko Putro
Institut Teknologi Sumatera
Computer Science & IT Earth & Planetary Sciences Education Environmental Science Social Sciences

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Low-Cost Fiber Optic Chemical Sensor Development for Fishpond Application Budi Mulyanti; Yuski Maolid Rizki Faozan; Ajuni B. Pantjawati; Roer Eka Pawinanto; Lilik Hasanah; Wahyu Sasongko Putro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10493

Abstract

In this study, aimed to develop low-cost sensor based on fiber optic to assess ammonia index for fishpond application. Here, the simple design was proposed by using Evanescent wave type to assess ammonia index during acid rain event. The experiment result showed maximum absorption loss with variation ammonia mass 1~5% with wavelength 1310 nm from Optical Light Source (OLS) is 27.56 dBm while Optical Spectrum Analyzer (OSA) reached 25.86 dBm. We had calculated RMSE, MAE, and Percent Error (PE) value both of the device (Low-cost fiber optic chemical sensor and OSA) are 1.692%, 0.916%, and 98.833% respectively. A good result from low cost fiber optic chemical sensor has successful developed with lowest production less than 1,455 USD per-year.
Development of Sumatera eArly warNing ConvectIve System (SANCIS) for Thunderstorm Prediction Model Wahyu Sasongko Putro
Geographica: Science and Education Journal Vol 1, No 1 (2019): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.893 KB) | DOI: 10.31327/gsej.v1i1.1072

Abstract

Since the activity of thunderstorm over Sumatera area – Indonesia increased during intermonsoon season in September, October, and November (SON) month, the thunderstorm as a natural disaster is influenced human activity. During the thunderstorm status increased may change an economy factors in this state due to natural hazard damage. Therefore, the development of Sumatera eArly warNing of ConvectIve System (SANCIS) for Thunderstorm Prediction System is necessary to avoid the natural hazard victims and helping meteorologist to predict thunderstorm event. To support the SANCIS development, we designed the thunderstorm model based on Adaptive Neuro Fuzzy Inference System (ANFIS). This system is equipped database meteorology and satellite imaging to update information and status thunderstorm event. In addition, to create the ANFIS model we use a two variable such as relative humidity (H) and PWV from radiosonde (RSPWV) from Weather Underground (WU) website and University of Wyoming (UW), respectively. Furthermore, the thunderstorm status prediction was updated in the SANCIS website. The two information per-day of status thunderstorm prediction were covered thunderstorm activity in this area.  Finally, the system was designed to monitor and giving the information of thunderstorm status during thunderstorm event.
Co-Authors Ajuni B. Pantjawati Budi Mulyanti Lilik Hasanah Roer Eka Pawinanto, Roer Eka Yuski Maolid Rizki Faozan