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All Journal GEMA TEKNOLOGI BERKALA FISIKA BAREKENG: Jurnal Ilmu Matematika dan Terapan
Baital, Muhammad Sawal
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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ANALISA ENGINE PROPELLER MATCHING (EPM) PADA KAPAL RESCUE BOAT KARENA PERUBAHAN TAHAP POWERING PROCESS Baital, Muhammad Sawal; Putranto, Ari Bawono; Waluyo, Bambang Sri
Gema Teknologi Vol 21, No 1 (2020): April 2020 - October 2020
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i1.32266

Abstract

This study is to investigate compatibility between installed main engine in ship with propeller design using theoretical approach and data series. A triple screw rescue boat conducted hard chain hull was used for study and analyze the effect of the changes in powering process stage by observing the result of open water efficiency based on Wageningen Data Series with cavitation analysis has been neglected. The study is considered using intersection between propeller thrust with thrust coefficient and open water efficiency on Wageningen B-Series for fixed pitch propeller. The result indicated that propeller characteristic B5-76 with 41% of efficiency  has compatibility with specification of installed main engine.
RANCANG BANGUN SISTEM PENGAMBILAN CITRA DAN PENGATUR POSISI JARAK OBYEK PADA MIKROSKOP DIGITAL MENGGUNAKAN JARINGAN WiFi SMARTPHONE ANDROID BERBASIS RASPBERRY Pi 3 DAN MIKROKONTROLER ESP32 Putranto, Ari Bawono; Baital, Muhammad Sawal; Muhlisin, Zaenul; Adi, Kusworo
BERKALA FISIKA Vol 23, No 4 (2020): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

In  this  study,  the  ESP32  microcontroller  and  the  Raspberry  Pi  have  been  successfully combined  to  adjust  the  position  of  the  digital  microscope  object  and  take  images  using  an android smartphone-based application via a WiFi network. The working method of adjusting the position of the microscope object is done by using the number of steps on a unipolar stepper motor  starting  from  the  farthest  distance  to  the  digital  microscope  objective  lens  which  is regulated by the ESP 32 microcontroller. Meanwhile, viewing the microscope object directly can  be  done  via  a  mobile  screen  connected  to  a  WiFi  network  to  a  digital  microscope  USB camera that has been converted into an IP camera by the Raspberry Pi. Therefore, through the use of a digital microscope application with an Android smartphone, it will be easier to obtain a sample image of a digital microscope object when conducting experiments in the laboratory.Keywords: Digital Microscope, Android Smartphone, WiFi, Rsabperry Pi, Microcontroller ESP 32
UNDERWATER OBJECT SHAPE DETECTION BASED ON TONAL DISTRIBUTION AND EDGE DETECTION USING DIGITAL IMAGE PROCESSING Suryowinoto, Andy; Herlambang, Teguh; Baital, Muhammad Sawal; Tomasouw, Berny Pebo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0395-0402

Abstract

Underwater exploration activities always have their own charm, many exotic objects that exist in underwater ecosystems have not been mapped properly, due to the lack of related databases of the shapes and names of these underwater objects. Another factor that affects the visibility of objects related to the quantity of light intensity that enters under water, also not as much above the surface of the abundant water, especially during the day. This also hinders the process of documenting underwater objects. The main purpose of this study was to obtain the shape of underwater objects for several conditions of light intensity under water using a low cost digital image sensor camera. The method used in this research is to combine tonal distributions with object edge detection in digital image processing. The test results show that object detection tests in clear and turbid water can detect objects even though they are using a low-cost and low-resolution camera, but with the help of adequate lighting it can be done. From that it can be concluded that the detection of underwater objects is successful.
Co-Authors Andy Suryowinoto Ari Bawono Putranto Bambang Sri Waluyo Kusworo Adi Teguh Herlambang Tomasouw, Berny Pebo Zaenul Muhlisin