Grasping and Attached Mode in Human-Computer Interaction in the Study of Mouse Substitution

Widodo, Romy Budhi; Quita, Reyna Marsya; Amrizal, S.; Gunawan, Raynanda; Wada, Chikamune; Ardiansyah, Adi Satrio; Sutrisno, Imam; Rahmat, Mamat; Arfianto, Afif Zuhri; Handoko, C. R.; Santoso, Aditya; Santosa, Ari Wibawa Budi; Ardhana, Valian Yoga Pudya; Setiawan, Edi

doi:10.1088/1742-6596/1196/1/012034

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…Salah satu algoritma klasifikasi yang diterapkan dengan keberhasilan dalam berbagai konteks adalah Algoritma Naive Bayes [5] [6]. Algoritma ini berasal dari teori probabilitas dan sering digunakan dalam machine learning untuk klasifikasi data [7] [8].…”

Section: Introductionunclassified

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Algoritma Naive Bayes Yang Efisien Untuk Klasifikasi Buah Pisang Raja Berdasarkan Fitur Warna

M. Afriansyah,

Joni Saputra,

Ardhana

et al. 2024

JISMDB

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Pisang Raja (Musa paradisiaca), juga dikenal sebagai Pisang Cavendish Raja, merupakan varietas pisang yang mendapatkan perhatian signifikan dalam konteks agrikultur dan pangan. Dalam penelitian ini, kami menyajikan deskripsi mendalam mengenai Pisang Raja, mencakup ciri-ciri morfologi, komposisi nutrisi, dan karakteristik organoleptiknya. Pisang Raja memiliki buah berbentuk silindris, kulit kuning cerah, dan daging buah yang lezat dengan rasa manis yang khas. Kaya akan vitamin dan mineral, termasuk vitamin C, vitamin B6, potassium, magnesium, dan mangan, Pisang Raja juga memberikan sejumlah manfaat kesehatan. Sebagai buah yang populer secara internasional, pemahaman mendalam mengenai Pisang Raja menjadi krusial untuk pengelolaan pertanian yang efektif dan pengembangan produk pangan berbasis pisang. Penelitian ini bertujuan untuk melakukan klasifikasi jenis buah Pisang Raja berdasarkan karakteristik warna RGB dengan menggunakan pendekatan yang melibatkan tahap pengumpulan data citra Pisang Raja, ekstraksi fitur RGB, pembagian dataset menggunakan metode k-fold cross-validation, dan penerapan model klasifikasi menggunakan algoritma Naive Bayes. Pendekatan ini mengeksploitasi fitur warna yang diambil dari gambar Pisang Raja sebagai masukan untuk mengidentifikasi kelas atau jenis buah yang sesuai. Hasil pengujian menunjukkan bahwa akurasi pada kategori rasa "manis" mencapai 100%, sementara pada kategori "sepat" dan "hambar" masing-masing mencapai 80%. Rata-rata akurasi dari metode klasifikasi Naïve Bayes mencapai 86,66%. Temuan ini mencerminkan keberhasilan model dalam mengklasifikasikan berbagai karakteristik warna Pisang Raja.

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Section: Introductionunclassified

“…False negative (FN): jumlah data positif yang salah diklasifikasi sebagai data negatif. Contoh tabel confusion matrix prediksi kelas dapat dilihat pada Tabel 1Berdasarkan tabel confusion matrik di atas akurasi dapat dihitung dengan persamaan (6) Seperti berikut :(6)…”

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Algoritma Naive Bayes Yang Efisien Untuk Klasifikasi Buah Pisang Raja Berdasarkan Fitur Warna

M. Afriansyah,

Joni Saputra,

Ardhana

et al. 2024

JISMDB

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“…The robot is one of the modern machines which used popularly in the industrial environment. It used for various functions such as grasping and lifting [3]. Today, industrial robots bring up a new concept called cloud robotics [4].…”

Section: Introductionmentioning

confidence: 99%

Teleoperation Cloud Industrial Robot using XMPP Protocol

Atmoko*¹,

Yang²,

Abas³

et al. 2019

IJRTE

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Teleoperation is an operation needed to complete a variety of robot tasks in dangerous and difficult-to-reach environments. In the industrial world, teleoperation robots can be used to help humans complete dangerous tasks such as grasping and lifting in the nuclear industry. Controlling industrial robots can be done remotely via the Internet. However, communication still needs to be improved so that it can achieve low latency, be safe, high reliability, and be interoperable. This study proposes the use of the XMPP protocol to handle data interactions between robots and cloud platform. We modified the Robot Operating System (ROS) package by adding a special node that bridges communication using the XMPP protocol. We compare the performance of MQTT with the HTTP protocol. The test results show that the MQTT latency time is better than HTTP. The results of this study can be used in robot teleoperation operations in various industries that consider aspects of communication quality

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Radio Frequency-based Smart Control for Lighting in Public Service

Rifai

Arfianto²,

Muzazanah³

2020

J. Phys.: Conf. Ser.

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In the context of energy efficiency, the control function of electrical equipment is an essential part of saving electricity consumption. That proven by several previous studies about the control of electrical equipment that has been successful for efficiency. In this study, electrical equipment will be controlled in public service buildings, using radio frequency (RF) and the internet. The realisation of this research is to make a radio frequency prototype and an internet-based light control device. For the buildings whose location is difficult to reach by the internet, light control uses radiofrequency. While for buildings that are affordable by internet access, using the internet to control the light. In this study, the microcontroller used is ESP 8266 MCU Node and TCM 3105 FSK IC Modem for connection to the internet. Device performance in running controls measured by the delay. Delay is the time difference between the command input time and the time the device has run the command. The average delay is at an average distance of 1513 ms at a distance of 1 m, 2844 ms at a distance of 10 m, 4674 ms at a distance of 100 m, 4060 ms at a distance of 150 m and 3151 ms at a distance of 300 m. The delay value decreases because, at distances of 100, 150, and 300 connections are lost. Under these conditions, the delay value is considered empty (0) so that the average decreases. The farther the distance, the higher the percentage of unconnected, this can be seen at distances of 100, 150, and 300 m.

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Grasping and Attached Mode in Human-Computer Interaction in the Study of Mouse Substitution

Cited by 8 publications

References 4 publications

Algoritma Naive Bayes Yang Efisien Untuk Klasifikasi Buah Pisang Raja Berdasarkan Fitur Warna

Algoritma Naive Bayes Yang Efisien Untuk Klasifikasi Buah Pisang Raja Berdasarkan Fitur Warna

Teleoperation Cloud Industrial Robot using XMPP Protocol

Radio Frequency-based Smart Control for Lighting in Public Service

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