Garuda - Garba Rujukan Digital

IMPLEMENTASI INVERSE KINEMATICS TERHADAP POLA GERAK HEXAPOD ROBOT 2 DOF Selamat Muslimin; Kharis Salahuddin; Ekawati Prihatini
DIELEKTRIKA Vol 4 No 2 (2017): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.011 KB)

Robot adalah alat manipulator yang dirancang dan diprogram menjadi robot. Salah satunya dirancang robot bangun 2 DOF (Gelar Kebebasan) yang diimplementasikan melawan robot berkaki. Dalam hal ini robot hexapod yang terdiri dari dua derajat kebebasan melakukan gerakan kaki robot yang fleksibel. Hal ini berdasarkan sudut pandang motor servo dengan penerapan invers kinematics sebagai analisis sudut servo. Desain robot ini memecahkan metode dasar geometri analitik melalui trigonometri turunan. Metode ini digunakan agar robot menghasilkan output setiap gerakan kaki dengan mengubah servo sudut yang telah dianalisis melalui algoritma kinematika invers pada kaki robot. Keseluruhan total Kaki robot adalah 12 kaki dengan 12 derajat derajat kebebasan.

Wireless Controlling for Garbage Robot (G-Bot) Nyayu Latifah Husni; Robi Robi; Ekawati Prihatini; Ade Silvia Handayani; Sabilal Rasyad; Firdaus Firdaus
Computer Engineering and Applications Journal Vol 10 No 2 (2021)
Publisher : Universitas Sriwijaya

This paper presents one of the solutions in overcoming the garbage problems. The people sometimes feel too lazy to throw the garbage into proper place due to their habit that has been grown since little kids. In this research, A G-Bot, a robot that has function as the garbage container is offered. By using an Internet of Things (IoT) application, the users can control the motion of the G-Bot wirelessly, so that it can move to the users’ desired location. In addition, the covers of the G-Bot can also be opened using smart phones that connected to the G-Bot. A Blynk that acts as the IoT Application is used in order to set up the G-Bot communication. From the experimental result, it can be concluded that the proposed research has been successful to be implemented. The users can move the G-Bot to the targeted location wirelessly, and they can also open and close the G-Bot’s lids wirelessly trough the mobile phones.

PENGENALAN KENDALI ROBOT SAMPAH BERBASIS IPAD DI SMPIT HARAPAN MULIA PALEMBANG Nyayu Latifah; Ade Silvia Handayani; Yudi Wijanarko; Ekawati Prihatini; Selamat Muslimin; Yeni Irdayanti; Destra Andika Pratama
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 3 No 1 (2020): APTEKMAS Volume 3 Nomor 1 2020
Publisher : Politeknik Negeri Sriwijaya

SMPIT Harapan Mulia is one of the schools that uses iPad for its teaching and learning activities. The use of this small, simple and lightweight iPad is certainly one of the solutions to reduce the burden of the books that the students should carry. All the learning materials can be found easily in the iPad, therefore the students can learn many things anywhere and anytime. In addition, the use of this iPad also will certainly make the students to more focus on the lesson. The students have an opportunity to be more flexible in terms of self-development. Besides the benefits provided by the iPad, there are several obstacles that are often faced, including, the use of iPad is monotonous andexcessive use of iPad can reduce student performance compared to those who do not use tablets (according to research from the Organization for Economic Cooperation and Development (OECD) and University of Michigan). Based on observations and interviews with the principal at SMPIT Harapan Mulia, students who use the iPad are more enthusiastic in joining the teaching and learning process. This can be proven by an increase in the average value obtained by the students of SMPIT Mulia Harapan. However, unfortunately the school also often found the students looked bored with their tablets. This is because their iPad is connected directly to MDM (Mobile Device Management), where the MDM manages the content and activities on each student's iPad. This MDM limits the student's movement, so that they will not get out of line. However, this MDM also makes students feel uncomfortable and not to be free to express themselves. Therefore, we need a solution to overcome these problems. This dedication is carried out with the aim to maintain the stability of the students' enthusiasm in using the iPad. In practice, this service provides opportunities for students to develop their skills in using the iPad. Students are equipped with the theory of the development of the use of iPad (in this activity, the iPad is used to control the trash robot). Besides that, the service activity also demonstrated and gave a short workshop on the control of garbage robots using the iPad. The results of this dedication were a simple coding and a monitoring module using a Blynk based iPad.

ROBOT PEMANTAU KUALITAS UDARA BERBASIS ANDROID Ekawati Prihatini; Sabilal Rasyad; Nyayu Latifah Husni; Ade Silvia Handayani; Evelina Evelina; Riska Handayani
Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu Vol 8 No 1 (2018): Jurnal TIPS
Publisher : Politeknik Sekayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (970.232 KB)

Udara adalah salah satu elemen penunjang kehidupan di muka bumi. Tanpa udara, manusia dan hewan tidak bisa bernafas, tumbuhan pun tidak bisa melakukan fotosintesis. Kualitas udara sering dipengaruhi oleh kontaminan pengotor.Karbon monoksida merupakan salah satu kontaminan pengotor tersebut.Zat ini memiliki sifat tidak berbau, tidak berasa, dan tidak berwana.Hal ini seringkali menyebabkan manusia tidak menyadari telah menghirup udara yang didominasi oleh gas mematikan ini. Akibatnya banyak manusia yang harus merelakan nyawanya dikarenakan ketidak tahuannya akan bahaya gas beracun ini. Banyak upaya yang dilakukan untuk mencegah terjadinya masalah yang lebih besar akibat pencemaran udara ini. Salah satunya adalah merancang sebuah robot pemantau kualitas udara yang akanmemberikan tanda adanya bahaya manakala konsentrasi gas karbon monoksida di sekitarnya mengalami peningkatan yang dapat mengancam nyawa manusia. Sensor TGS 2620 digunakan sebagai pendeteksi konsentrasi gas karbon monoksida pada lingkup tertentu. Hasil pembacaan sensor TGS2620 nantinya dilanjutkan dengan mengirimkan informasi ke android dengan module bluetooth HC-05 berupa peringatan jika terdapat peningkatan konsentrasi karbon monoksida pada lingkungan tersebut.

Klasifikasi Gerak Terapi untuk Anak Autis dengan Metode CNN pada Robot SAR (Socially Assistive Robot) Ekawati Prihatini; Nyayu Latifah Husni; Revaldi Andrean
Jurnal Ampere Vol. 10 No. 1 (2025): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v10i1.15991

Children with autism often have difficulties in social interaction and communication. Socially Assistive Robots (SAR) can be utilized to help them develop social and communication skills. One of the important aspects in interaction with robots is the ability of the robot to detect the motion of autistic children. This research aims to implement the Convolutional Neural Network (CNN) method on the SAR robot to detect the motion of autistic children. The CNN method was chosen because of its ability to recognize image patterns and detect objects with high accuracy. The image dataset used in this study consists of images taken using a cellphone camera manually with various poses from various points of view. The results show that the CNN method is able to recognize the movements of autistic children with high precision, thus supporting more effective interaction between the robot and the child. Challenges such as large dataset requirements and significant training time were overcome through optimization of the training process. This optimization led to improved model efficiency, reducing computation time while maintaining high accuracy.

Klasifikasi Gerak Terapi untuk Anak Autis dengan Metode CNN pada Robot SAR (Socially Assistive Robot) Ekawati Prihatini; Nyayu Latifah Husni; Revaldi Andrean
Jurnal Ampere Vol. 10 No. 1 (2025): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v10i1.15991

Children with autism often have difficulties in social interaction and communication. Socially Assistive Robots (SAR) can be utilized to help them develop social and communication skills. One of the important aspects in interaction with robots is the ability of the robot to detect the motion of autistic children. This research aims to implement the Convolutional Neural Network (CNN) method on the SAR robot to detect the motion of autistic children. The CNN method was chosen because of its ability to recognize image patterns and detect objects with high accuracy. The image dataset used in this study consists of images taken using a cellphone camera manually with various poses from various points of view. The results show that the CNN method is able to recognize the movements of autistic children with high precision, thus supporting more effective interaction between the robot and the child. Challenges such as large dataset requirements and significant training time were overcome through optimization of the training process. This optimization led to improved model efficiency, reducing computation time while maintaining high accuracy.

PELATIHAN PENGGUNAAN ROBOT SAR UNTUK MONITORING TEKANAN DARAH ANAK AUTISM Ramadhani, Dwi; Ekawati Prihatini; Faisal Damsi; Yessi Marniati; Selamat Muslimin; Nyayu Latifah Husni; Husni, M. Daffa Ramadhan
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 7 No 3 (2024): Aptekmas Volume 7 Nomor 3 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Autism Spectrum Disorder (ASD) is a developmental neurological condition marked by challenges in social communication and repetitive, restrictive behaviors. In Indonesia, there are approximately 2.4 million individuals with ASD, with an additional 500 new cases emerging annually. Anxiety is a prevalent issue among children with ASD, often going unnoticed due to their limited ability to express emotions. To address this, a Socially Assistive Robot (SAR) with a blood pressure sensor can be used to monitor anxiety levels by tracking vital signs, particularly blood pressure, offering an indirect method to detect anxiety. Yayasan Gentaralam SLB Autis in Sumatra Selatan provides crucial support for children with autism, and this project seeks to introduce SAR robots to aid in their care. The robots will serve as non-pharmacological tools to help identify and manage anxiety in children. SAR robots, designed to engage socially, can monitor anxiety by measuring physiological responses, providing a less intrusive yet effective method of assessment. The success of using SAR robots to detect anxiety levels in autistic children depends on various factors, including the child’s autism severity, the setting in which the robot is used, and the child’s emotional condition during the interaction

Title

Found 7 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 7 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 7 Documents
Search