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All Journal Jurnal Sains Indonesia Journal of Applied Science, Technology & Humanities
Nanda Octavia
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Mathematics Social Sciences Other

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DETERMINING THE AMOUNT OF FEED USING INTERNET OF THINGS (IOT) BASED ON TEMPERATURE, pH, AND AMMONIA MONITORING , M Lutfi Hauzan Tama; Muhamad Dedra Purnama; Rafly Adi Fahrezy; Muhammad Rizki Rifa’i; Ridho Juliansyah; M Isya Rais Ansori; M Ikhsan Hisyam; Risma Rosyada Julian; Almi Dwi Utam; Herlina Indryani; Deby Shinta; Khamila Aulia Salsabi; Wiyoto Wiyoto; Ridwan Iskandar; Ester Angeline; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Nanda Octavia
Jurnal Sains Indonesia Vol 5 No 1 (2024): Vol 5 No 1 (2024): Volume 5, Nomor 1, 2024 (Maret)
Publisher : PUSAT SAINS INDONESIA

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Abstract

The availability of sufficient feed is very important for the success of fish farming. However, fish feeding by farmers is currently still conventional, often irregular and excessive due to human error. To increase production efficiency and yield, automatic feeding technology is needed. One solution is an Automatic Fish Feeder based on the Internet of Things (IoT) which integrates hardware, sensors and software as control. This research aims to provide the optimal amount of feed based on temperature using fuzzy logic. In this study, Fuzzy Logic was designed with the help of Matlab software, which will then be used as a basis for determining the output value of the automatic fish feeding system after implementing Fuzzy Logic. There is a Fuzzy Logic design in Matlab with the Mamdani method which has 1 input variable and 1 output variable. The input variable is the temperature parameter and the output variable is the quantity of fish feed. By applying Fuzzy Logic in determining the quantity of fish feed on automatic feeders, it is hoped that it can help fish farmers who use automatic fish feeders in determining the right amount of feed.
Application Of Artificial Intelligence To Diagnose Tiger Prawn Diseases (Penaeus Monodon) Using The Mamdani Fuzzy Logic Model Method Azahra, Syafira Dinka; Alif Diaz Ibramahesa; Siti Zalfa Fadillah; Abrisam Hadi Bintoro; Indy Widyanti; Muhammad Jerri; Monic Hapsari; Muhammad Yasir Anwar; Shadam Dwi Permana; Rhaihany Aliefia D R; R Riza Pamungkas S; Khaerunisa Agustina; Nanda Octavia; Ester Angeline; Muhammad Danang Mukti Darmawan; Fiqri Nurfadillah; Wiyoto Wiyoto; Ridwan Siskandar
Jurnal Sains Indonesia Vol 5 No 1 (2024): Vol 5 No 1 (2024): Volume 5, Nomor 1, 2024 (Maret)
Publisher : PUSAT SAINS INDONESIA

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Abstract

Diseases in black tiger shrimp are crucial to monitor for their survival and productivity in aquaculture. Rapid detection through clinical symptoms, though not 100% accurate, is vital for prompt action. This study aims to diagnose diseases in black tiger shrimp using computer-based artificial intelligence based on observational input. A qualitative data analysis method is employed, with variables including clinical symptoms, eye damage, and body color change. Results show that body damage is the most influential factor in disease type. Although fuzzy logic is not 100% accurate, it is essential and beneficial for shrimp farmers.
Analisis Kelayakan Kualitas Air untuk Mengoptimalkan Pertumbuhan Ikan Lele Berbasis Fuzzy Logic Mamdani  Rahman, Riem Rahayu; Adhitya Wibisono; Rahmah Mulanti; Hadianto Nur Fadhli; Ghaida Refiana Zahra; Anisa; Novayanti Magdalena Gultom; Resti Dwi Anjani; Azkal Muhammad Azkiya; Sofyan Alhaq; Saeful Anwar; Naufal Ridho Setyo Laksono; Rahma Amelia Purnama; M Danang Mukti Darmawan; Rifqi Nurfadillah; Ester Angeline; Nanda Octavia; Wiyoto Wiyoto; Ridwan Siskandar
Jurnal Sains Indonesia Vol. 5 No. 1 (2024): Vol 5 No 1 (2024): Volume 5, Nomor 1, 2024 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v5i1.199

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis kelayakan kualitas air di kolam lele untuk mengoptimalkan pertumbuhan ikan lele. Air merupakan acuan parameter yang perlu diperhatikan untuk keberlangsungan pertumbuhan ikan lele, dengan kondisi air pada kolam yang kurang optimal dapat menyebabkan lambatnya pertumbuhan dan dapat mengancam kegagalan panen. Pada penelitian ini digunakan metode fuzzy logic untuk mengukur parameter kualitas air pada kolam ikan lele berdasarkan pH, suhu dan amonia. Penelitian ini dilakukan pada tanggal 30 April - 14 Mei 2024 di Hatchery Perikanan, Sekolah Vokasi IPB Sukabumi di Jalan Sarasa No. 45 Kecamatan Cibeureum, Kota Sukabumi, Jawa Barat. Data didapatkan dari pengumpulan data dan analisis data. Hasil dari penelitian ini yaitu kualitas air dalam bak 9 memiliki kategori tidak layak dengan nilai 25% sedangkan untuk bak lainnya masih dalam kategori cukup layak dengan nilai 50-60%. Hal ini dapat menjadi acuan untuk mengoptimalkan pertumbuhan dengan cara monitoring serta penanganan yang baik terhadap kualitas air.
Implementation of Fuzzy Logic to Regulate Water Quality in Maintaining the Aquascape Ecosystem Muhammad Fajarudin; Handika Saputra Harahap; Irmansyah; Muhamad Al Habsy; Fardiana Yunita; Inna Novianty; Nanda Octavia; Ivan De Nerol
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/dvbdxn84

Abstract

Aquascape is an artificial aquarium ecosystem that is increasingly popular, considering the high cost of creating and maintaining an aquascape. Several aspects need to be considered in maintaining an aquascape, namely maintaining water quality. To know the water quality, it is necessary to periodically check the aquascape manually and carry out maintenance, therefore knowledge is needed to regulate and maintain the water quality in the aquascape. This research aims to implement fuzzy logic as a water quality control system in aquascape maintenance. The research method includes collecting data from the literature as well as developing a fuzzy logic model to identify and control water quality such as pH and temperature. The output of the system developed is a water quality control device with the categories "Unbalanced", "Quite Balanced", "Balanced". This research method includes calculations by collecting data and using MATLAB software to develop a fuzzy logic system. The research results show that the application of fuzzy logic is able to regulate water quality effectively and minimize the risk of ecosystem damage in the aquascape. The research conclusion shows that the application of fuzzy logic to regulate water quality in aquascapes has great potential in maintaining the sustainability of aquascape ecosystems.
Automatic Feeding System for Fish Using Fuzzy Logic Method Sevril Anugrah K Surbakti; Cindy Arditha Claudia Manurung; Mohammad Hafiz Fachrezi Lubis; Zakaria Hidayatullah; Rahiim Tahajjadan Zhaahir Haq Haq; Nanda Octavia; Ivan De Nerol
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/z67j0354

Abstract

This investigate presents an inventive approach to upgrade angle cultivating hones through the usage of an Programmed Bolstering Framework utilizing Fluffy Rationale. The proposed framework points to optimize the bolstering handle by considering components such as water temperature, water quality, and the time of the past nourishing. Fluffy rationale calculations are utilized to create brilliantly choices with respect to the amount of nourish, sort of bolster, ideal nourishing time, and the in general wellbeing status of the angle. The system's flexibility to changing natural conditions makes it a profitable device for economical aquaculture hones.
Co-Authors , M Lutfi Hauzan Tama Abrisam Hadi Bintoro Adhitya Wibisono Alif Diaz Ibramahesa Almi Dwi Utam Anisa Azahra, Syafira Dinka Azkal Muhammad Azkiya Cindy Arditha Claudia Manurung Deby Shinta Ester Angeline Fardiana Yunita Fiqri Nurfadillah Ghaida Refiana Zahra Hadianto Nur Fadhli Handika Saputra Harahap Herlina Indryani Indy Widyanti Inna Novianty Irmansyah Ivan De Nerol Khaerunisa Agustina Khamila Aulia Salsabi M Danang Mukti Darmawan M Ikhsan Hisyam M Isya Rais Ansori Mohammad Hafiz Fachrezi Lubis Monic Hapsari Muhamad Al Habsy Muhamad Dedra Purnama Muhammad Danang Mukti Darmawan Muhammad Fajarudin Muhammad Jerri Muhammad Rizki Rifa’i Muhammad Yasir Anwar Naufal Ridho Setyo Laksono Novayanti Magdalena Gultom R Riza Pamungkas S Rafly Adi Fahrezy Rahiim Tahajjadan Zhaahir Haq Haq Rahma Amelia Purnama Rahmah Mulanti Rahman, Riem Rahayu Resti Dwi Anjani Rhaihany Aliefia D R Ridho Juliansyah Ridwan Iskandar Ridwan Siskandar Rifqi Nurfadillah Risma Rosyada Julian Saeful Anwar Sevril Anugrah K Surbakti Shadam Dwi Permana Siti Zalfa Fadillah Sofyan Alhaq Wiyoto Wiyoto Zakaria Hidayatullah