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All Journal Journal of Applied Geospatial Information Omni-Akuatika Jurnal Kelautan Nasional Jurnal Segara
Ayi Rahmat
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Materials Science & Nanotechnology Physics

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Design a Photobioreactor for Microalgae Cultivation with the IOTs (Internet of Things) System Ayi Rahmat; Indra Jaya; Totok Hestirianoto; Dedi Jusadi; Mujizat Kawaroe
Journal Omni-Akuatika Vol 16, No 1 (2020): Omni-Akuatika May
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2020.16.1.791

Abstract

Internet of Things (IOTs) is an evolution of the concept of internet use that aims to expand the benefits of internet connectivity that is connected continuously with the ability to control remotely (remote control), share data (data sharing), carry out continuous monitoring (real time monitoring) and current (up to date). This research related to the cultivation of microalgae as a source of food and energy of the future, in the design of photobioreactors that are integrated with IoT, so that it can be monitored continuously, controlled and used as a model for the development of greater microalgae cultivation technology. Cultivation in this study was a closed system photobioreactor, will produce microalgae that are not contaminated by external contaminants, growth analysis can be done based on the parameters that influence it, including the cultivation room temperature, lighting level (luminance), and the color of water in the photosynthesis process of microalgae, and also control of water circulation. Visualization of controlled parameters includes, temperature parameters, light intensity, water color changes. The observed parameters will be displayed in a graphical user interface (GUI) in real time using the internet. The advantages of this system can see the growth of microalgae in detail over time, and obtained raw data that can be processed for various research purposes.
Acoustic Wave Propagation Patterns in the Ocean Column Fachri Ali Badihi; Sri Pujiyati; Ayi Rahmat; Steven Solikin; Muhammad Hisyam
Jurnal Segara Vol 18, No 3 (2022): December
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v18i3.11453

Abstract

Temperature and salinity play a role in the speed of sound and the process of sound propagation of acoustic waves in the water. Research on the propagation of sound waves in the ocean is a very interesting topic to do because it has many applications, including in underwater wireless communication systems and maritime security. This study aimed to analyze the propagation of acoustic waves in different water depths. The modeling was carried out with flat wave characteristics, in which the bathymetry characteristics of the seawater were ignored. In this ray path simulation, the frequency of 5.3Hz was used at 3 stations with different seawater depths in the Makassar Strait using temperature and salinity data downloaded from marine.coperniccus.eu data. The movement pattern of the acoustic waves was simulated using the Bellhop method. The ray tracing simulation results showed significant differences at the three locations. This was influenced by several factors, including the condition of the seawater environment, the placement of the transducer, the speed of sound, and the depth. Shallow seawater would show a more complicated ray path than deep seawater. The greater the angle of the half beam used, the greater the distance of the range of each beam of light will be so that the reflection of the resulting beam of light covers each column of seawater. The closer the distance between the resulting ray paths, the smaller the energy lost.
Karakteristik Hamburbalik Gelembung Udara Buatan dalam Kondisi Terkontrol Sri Pujiyati; Mochamad Adam Maulana; Ayi Rahmat; M Hasbi Sidqi Alajuri
Jurnal Kelautan Nasional Vol 18, No 1 (2023): APRIL
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jkn.v18i1.11068

Abstract

Gelembung udara dapat terbentuk secara alami maupun buatan. Gelembung udara buatan tercipta dari kegiatan antropogenik seperti pergerakan profiler kapal, penambangan, pembangunan bawah air, dan aerator (alat pembentuk gelembung udara).  Dalam ilmu hidroakustik, gelembung udara merupakan faktor utama dalam propagasi suara dekat-permukaan.   Oleh sebab itu dalam pengambilan data hidroakustik gelembung udara harus minimalkan agar hasil pengukuran hidroakustik menjadi akurat, baik dalam pengambilan data di lapangan maupun dalam skala laboratorium. Tujuan penelitian ini untuk mengetahui hambur balik dari gelembung udara buatan dalam kondisi terkontrol.  Penelitian ini  menggunakan Alat  aerator jenis Roston Q3 Aquarium Air Pump yang beroperasi apada 220-240 Volt mampu menghasilkan laju gelembung udara sebesar 2.5 watt dan 3 watt. Perekaman data akustik menggunakan Echosounder EK-15 dan analisis data menggunakan sofware echoview (4) versi demo.  Nilai hambur balik gelembung udara dengan daya 3 watt memiliki rentang -45.06 sampai -45.01 dB (ref:1μPa) dengan rata-rata hambur balik -45,02 dB (ref:1μPa). Adapun gelembung dengan daya 2.5 watt memiliki nilai hambur balik dengan rentang -45.07 sampai -45.01 dB (ref:1μPa), dengan nilai  hambur balik rata-rata sebesar -45.03 dB (ref:1μPa).
Computer Vision-Based Fish Feed Detection and Quantification System Riyandani Riyandani; Indra Jaya; Ayi Rahmat
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5644

Abstract

The development of the Automatic Feeder instrument and OAK-D camera has yielded positive results. The Automatic Feeder functions well, dispensing 30 grams of fish feed every 5 rotations of the stepper motor. The OAK-D camera records with sharp details, accurate colors, and good contrast, producing high-quality videos. The YOLOv5x detection model achieves an accuracy of 82%, precision of 80%, recall of 84%, mAP of 81.90%, and a training loss of 0.079144. This model can detect fish feed with high accuracy. The calculation of fish feed reveals different consumption patterns in the morning, afternoon, and evening. On average, the fish feed is depleted at the 25th minute across all time periods. The information from the graphs and tables can assist in optimizing the feeding process to avoid overfeeding.
Co-Authors Alajuri, M Hasbi Sidqi DEDI JUSADI Fachri Ali Badihi Hestirianoto, Totok Indra Jaya Mochamad Adam Maulana Muhammad Hisyam Mujizat Kawaroe Riyandani Riyandani Sri Pujiyati Steven Solikin