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All Journal Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Jurnal Komputer dan Elektro Sains
Fahla, Adam
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Segmentasi Citra Digital Ikan Menggunakan Metode Thresholding Fahla, Adam; Jalil, Abdul; Rahmadewi, Reni
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 10, No 2 (2024): Oktober
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v10i2.9390

Abstract

Untuk mengidentifikasi jenis-jenis ikan berdasarkan ciri-cirinya, telah dikembangkan suatu sistem yang menggunakan metode thresholding untuk memisahkan objek mata ikan koi. Proses dimulai dengan memasukkan citra digital ikan ke dalam sistem, yang kemudian dikonversi menjadi citra grayscale. Selanjutnya, dilakukan proses segmentasi terhadap citra grayscale untuk memisahkan objek mata ikan dari latar belakangnya. Hasil segmentasi dipilih dan diperkuat dengan proses deteksi tepi menggunakan operator Canny yang dioptimalkan dengan proses dilasi. Langkah terakhir adalah membuat plot kontur terhadap hasil proses dilasi dan citra grayscale untuk memvisualisasikan segmentasi dengan lebih jelas. Keseluruhan proses ini diimplementasikan menggunakan perangkat lunak MATLAB R2021b. Proses segmentasi berhasil memisahkan dengan akurat objek mata ikan menggunakan metode thresholding lokal.
Cart-Go : Robot Troli Otomatis Pembawa Barang Belanjaan di Supermarket Effendi, Ananda Dirgari; Effendi, Alvina Septariyani; Fahla, Adam; Hidayat, Rahmat
Jurnal Komputer dan Elektro Sains Vol. 3 No. 1 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i1.162

Abstract

Cart-Go is an automatic cart robot that can follow customers while shopping in supermarkets. This robot aims to improve customer comfort and shopping experience, as well as solve the problem of transporting and managing shopping goods. This paper explains the background, methods, results, and discussion of research conducted to design and test the Cart-Go system. This research uses ultrasonic and infrared sensors to detect the distance and angle of objects, as well as DC motors and servos to move the robot. The test results show that the robot can move according to the distance and direction of the object, although there are limitations in the detection angle. This paper also discusses the advantages and disadvantages of the system, as well as suggestions for further research. Thus further improvements and developments can be carried out to improve system performance and efficiency. Some suggestions for further research are to use other sensors that are more accurate and sensitive, such as cameras or lidars, to detect objects, use servo motors that are more stable and precise, and use batteries that are more durable and environmentally friendly.
Co-Authors Abdul jalil Effendi, Alvina Septariyani Effendi, Ananda Dirgari Rahmat Hidayat Reni Rahmadewi, Reni