Garuda - Garba Rujukan Digital

Alat Pemberi Pakan Ikan Lele Dalam Drum Otomatis Berdasarkan Usia dan Jumlah Ikan Dengan Metode Fuzzy Logic Setia Yusuful Arif; Niam Tamami; Madyono Madyono
Majalah Ilmiah Teknologi Elektro Vol 22 No 1 (2023): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2023.v22i01.P03

Abstract— The trend for consumption fish consumption continues to increase rapidly, even the Food and Agriculture Organization (FAO), says fish cultivation output is expected to increase by around 172 million tonnes in 2021. Therefore efforts are needed to increase national catfish production. New methods of cultivating catfish have emerged, one of which is the method of cultivating catfish in drums. However, there are still many catfish breeders in drums in Indonesia who still use conventional methods which are no longer effective, because many catfish seeds die before maturity, this is due, among other things, to unscheduled feeding and the amount of feed weight that is inaccurate with the amount and the age of the fish in a drum which causes the growth of catfish to be less than optimal. Based on these problems, it is encouraging to develop a tool that can control and monitor fish feeding schedules and the total weight of fish feed according to the number and age of fish in one drum based on a microcontroller by utilizing the fuzzy logic method which can facilitate the process of reasoning in language. (linguistic reasoning), and only by means of a smartphone, farmers can set feeding schedules and choose the number of fish and the age of the fish in a drum. The result is that the tool is able to provide feed according to the feed schedule with an error rate of 0%, and the tool can provide feed according to the feed dosage with an accuracy of up to 98.9% with an average accuracy of 96.09%. Keywords— Automatic Fish Feeder, MQTT Dashboard, Fuzzy Logic

Prototipe Deteksi PEN dalam Tubuh Menggunakan B-Mode Ultrasonic Scanning Chandra Edy Prianto; Agus Indra Gunawan; Niam Tamami
Jurnal Rekayasa Elektrika Vol 15, No 2 (2019)
Publisher : Universitas Syiah Kuala

Internal fixation is a method of healing fractures by connecting them using metal called pen. Pen metal in the body isn’t permanent, when the bone was strong the pen must be removed to avoid infection. In finding the pen, X-Ray are usually used. But X-Ray has bad effect, so not everyone is allowed to use it. The solution given by make prototype to detect pen location using B-Mode ultrasonic scanning method, it uses 5MHz single transducerultrasonic. Objects measurement is the animal bones connected with metals placed in the jelly with different heights. From the two transducers, the concave surface transducer has a better result and smaller percentage error than the flat surface transducer. The concave surface transducer has a focal length area 1.94cm above the transducer surface. The maximum slope angle of the object is 20o, which more than that makes the echo signal unreadable the object.The measurement results of objects displayed in the B-Mode 1 dimensional on PC that displays the structure of the bottom surface of an object, based on comparison between the actual object and the B-Mode display an error less than 6%, meaning B-Mode can represent the surface structure bottom of the actual object.

Prototipe Deteksi PEN dalam Tubuh Menggunakan B-Mode Ultrasonic Scanning Chandra Edy Prianto; Agus Indra Gunawan; Niam Tamami
Jurnal Rekayasa Elektrika Vol 15, No 2 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v15i2.13893

Internal fixation is a method of healing fractures by connecting them using metal called pen. Pen metal in the body isn’t permanent, when the bone was strong the pen must be removed to avoid infection. In finding the pen, X-Ray are usually used. But X-Ray has bad effect, so not everyone is allowed to use it. The solution given by make prototype to detect pen location using B-Mode ultrasonic scanning method, it uses 5MHz single transducerultrasonic. Objects measurement is the animal bones connected with metals placed in the jelly with different heights. From the two transducers, the concave surface transducer has a better result and smaller percentage error than the flat surface transducer. The concave surface transducer has a focal length area 1.94cm above the transducer surface. The maximum slope angle of the object is 20o, which more than that makes the echo signal unreadable the object.The measurement results of objects displayed in the B-Mode 1 dimensional on PC that displays the structure of the bottom surface of an object, based on comparison between the actual object and the B-Mode display an error less than 6%, meaning B-Mode can represent the surface structure bottom of the actual object.

Alat Pemberi Pakan Ikan Lele Dalam Drum Otomatis Berdasarkan Usia dan Jumlah Ikan Dengan Metode Fuzzy Logic Setia Yusuful Arif; Niam Tamami; Madyono Madyono
Jurnal Teknologi Elektro Vol 22 No 1 (2023): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2023.v22i01.P03

Abstract— The trend for consumption fish consumption continues to increase rapidly, even the Food and Agriculture Organization (FAO), says fish cultivation output is expected to increase by around 172 million tonnes in 2021. Therefore efforts are needed to increase national catfish production. New methods of cultivating catfish have emerged, one of which is the method of cultivating catfish in drums. However, there are still many catfish breeders in drums in Indonesia who still use conventional methods which are no longer effective, because many catfish seeds die before maturity, this is due, among other things, to unscheduled feeding and the amount of feed weight that is inaccurate with the amount and the age of the fish in a drum which causes the growth of catfish to be less than optimal. Based on these problems, it is encouraging to develop a tool that can control and monitor fish feeding schedules and the total weight of fish feed according to the number and age of fish in one drum based on a microcontroller by utilizing the fuzzy logic method which can facilitate the process of reasoning in language. (linguistic reasoning), and only by means of a smartphone, farmers can set feeding schedules and choose the number of fish and the age of the fish in a drum. The result is that the tool is able to provide feed according to the feed schedule with an error rate of 0%, and the tool can provide feed according to the feed dosage with an accuracy of up to 98.9% with an average accuracy of 96.09%. Keywords— Automatic Fish Feeder, MQTT Dashboard, Fuzzy Logic

Deteksi Objek pada Pengambil Muatan Autonomous VTOL berdasarkan Fitur Warna dan Bentuk Niam Tamami; Mochamad Mobed Bachtiar; Mohammad Syafrudin; Eru Puspita
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3569

Dalam era modern, Autonomous VTOL (Vertical Take Of and Landing) telah mengambil peran yang semakin signifikan dalam berbagai aplikasi, salah satunya pengiriman barang. Keberhasilan proses pengambilan muatan ditentukan dari keberhasilan proses deteksi. Pada lingkungan terbuka, deteksi muatan sering kali tidak akurat karena adanya objek lain yang berada di atas tanah. Pada penelitian ini, proses deteksi didasarkan pada fitur warna dan bentuk dari objek untuk meningkatkan akurasi deteksi. Deteksi warna dilakukan dengan memberikan range batas nilai HSV dan menghitung luasan terbesar untuk mengetahui posisi muatan pada gambar. Selanjutnya deteksi Haar Cascade digunakan untuk memastikan apakah fitur bentuk objek sesuai dengan objek yang ingin dideteksi. Deteksi objek dengan hanya menggunakan Haar Cascade digunakan sebagai pembanding. Dari percobaan yang telah dilakukan, deteksi dengan menggunakan Haar Cascade didapatkan nilai akurasi 70.68%, sedangkan kombinasi deteksi kontur warna dan Haar Cascade didapatkan nilai akurasi yang lebih tinggi yaitu 87.93%.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search