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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal Teknika Jurnal Teliska ICON-CSE Annual Research Seminar Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu Jurnal Pendidikan dan Konseling Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Smart Electrical Network and System (JASENS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL POLI-TEKNOLOGI Malcom: Indonesian Journal of Machine Learning and Computer Science

Husni, Nyayu Latifah

Politeknik Negeri Sriwijaya

Author-ID : 1686286

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 40 Documents Claim Missing Document

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Articles

Title

Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm Nyayu Latifah Husni; Ade Silvia; Siti Nurmaini; Falah Yuridho; Irsyadi Yani
Computer Engineering and Applications Journal Vol 6 No 3 (2017)
Publisher : Universitas Sriwijaya

In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.

Swarm Intelligent in Bio-Inspired Perspective: A Summary Nyayu Husni Latifah; Ade Silvia; Ekawati Prihatini; Siti Nurmaini; Irsyadi Yani
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced. The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed. At the end of summary, the applications of the SI algorithms are presented.

Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm Nyayu Husni Latifah; Masayu Annisah; Tresna Dewi
Computer Engineering and Applications Journal Vol 8 No 3 (2019)
Publisher : Universitas Sriwijaya

In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land. The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor. The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server. The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature. Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location. The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.

The Application of Push Button Switch as Inverse Kinematics Input on Adaptive Walking Method for Hexapod Robot Pola Risma; Muhammad Bagaskara; Nyayu Husni Latifah; Masayu Anisah; Adella Rialita
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

Any kinds of natural disaster are undesirable. Loss and damage are the most experienced as they come. Property and people have to be relieved, and it's not an easy matter. Among the deaths caused by buildings, some may still be alive and need helps as soon as possible, but this is too risky for the rescue team since the location is still in dangerous level. Therefore, we created the detector hexapod robot to replace the tasks of the rescue teams in searching for the victims of the disasters, so there are no more victims from the rescue team. The hexapod robot is a six-legged robot which shapes and runs like a spider. This research focuses on the analysis of the push button switch as a robotic foot control input. This is because walking technique is an effective major factor in navigation of robots. A good method is required to maintain the height of the robot's foot while it is walking. So to solve this, the push button switch application is used along with the inverse kinematics calculations on each routine program in adjusting the position of the end effector on the floor surface. In shifting, the navigation runs well without any failure if the position of the foot does not touch the floor. The test is done in 2 steps, comparing the inverse kinematics calculations with x and y inputs which are applied to the robot program code then comparing the travel time condition by using push button switch and without push button switch. The result of robot in this study can be re-developed in the future, using servos with greater torque and better control input than push button switch.

Environmental Application with Multi Sensor Network Ade Silvia Handayani; Nyayu Latifah Husni; Rosmalinda Permatasari
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

This paper aimed to monitor temperature, humidity, and CO gas level using environmental application with multi sensor network (MSN). This system was applied in real life and real time, to be able to obtain data and information through mobile devices and other on internet network. In this research, environmental application is monitored remotely using displays on the web and sensors as device. This research obtained data in outdoor and indoor parking area also with obstacles and without obstacles, so it obtained the results from each of the different environmental conditions.

Real Time Garbage Bin Capacity Monitoring Nyayu Husni Latifah; Sitangsu Sitangsu; Sabilal Rasyad; Ade Silvia Handayani
Computer Engineering and Applications Journal Vol 9 No 2 (2020)
Publisher : Universitas Sriwijaya

This paper discusses about a garbage bin that can be monitored in real time. The information of the garbage capacity can be obtained in the application that is integrated in the mobile phone. The communication between the garbage bin and the mobile phone is intended to help the garbage collector and the user to monitor the capacity of the garbage in a garbage bin. When it has been overloaded, the collector can manage the garbage by moving the garbage to the other bigger garbage bin. (landfill). This garbage bin has been tested and it could run well. It could open and close its cover as soon as it detected or did not detect the objects. It could also send the information of the garbage capacity to the mobile phone immediately with delay only 0.45-0.47 s.

Air Quality Classification Using Support Vector Machine Ade Silvia Handayani; Sopian Soim; Theresia Enim Agusdi; Nyayu Latifah Husni
Computer Engineering and Applications Journal Vol 10 No 1 (2021)
Publisher : Universitas Sriwijaya

Air pollution in Indonesia, especially in urban areas, becomes a serious problem that needs attention. The air pollution will impact on the environment and health. In this research, the air quality will be classified using Support Vector Machine method that obtained from the sensor readings. The sensors used in the detection of CO, CO2, HC, dust/PM10 and temperature, namely TGS-2442, TGS-2611, MG-811, GP2Y1010AU0F and DHT-11. After testing, the results obtained with classification accuracy of 95.02%. The conclusion of this research indicates that the classification using the Support Vector Machine has the ability to classify air quality data.

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.

Performance Evaluation on Applied Low-Cost Multi-Sensor Technology in Air Pollution Monitoring Ade Silvia Handayani; Nyayu Latifah Husni
Computer Engineering and Applications Journal Vol 11 No 3 (2022)
Publisher : Universitas Sriwijaya

This research aims to discuss the application of multi-sensor network technology for the monitoring of indoor air pollution. Indoor air pollution has become a severe problem that affects public health, especially indoor parking. The indoor air pollution monitoring system will provide information about vehicle exhaust emission levels. We have improved the system to identify six parameters of the vehicles' gas emissions within a different location at once. This research aimed to measure the parameter of Carbon Monoxide (CO), Carbon Dioxide (CO2), Hydro Carbon (HC), temperature and humidity, and levels of particulates in the air (PM10). The performance of this system shows good ability to compare the results of measurements of air quality measuring professionals. In this study, we investigated the performance of a custom-built prototype developed under the android-based application to detect air pollution levels in the parking area. Our objective was to evaluate the suitability of a low-cost multi-sensor network for monitoring air pollution in parking and the other area. The benefit of our approach is that its time and space complexity make it valuable and efficient for real-time monitoring of air pollution.

Littering Activities Monitoring using Image Processing Nyayu Latifah Husni; Ade Silvia Handayani
Computer Engineering and Applications Journal Vol 12 No 3 (2023)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v12i3.427

Littering is a human behavior that become a habit since childhood. Even though there are rules that prohibit this behavior, the community still continues to do so. In order to limit this bad behavior, a device that can monitor and provide notifications is needed. In this research, a device is offered that can identify human activities in real time using webcam-based image processing. Then, it is processed by machine learning using the Recurrent Neural Network (RNN). The monitoring device produced in this research works by comparing the captured image data with a dataset. The captured image data will then be extracted features and form several coordinate points on the human body, then the system will classify these human activities into the category of normal activities or littering activities. This device will provide an output in the form of a warning every time the activity of littering is detected.

Co-Authors Abdurahman Abdurrahman Abu Hasan Ade Handayani Ade Silvia Ade Silvia Ade Silvia Ade Silvia Handayan Ade Silvia Handayani Adella Rialita Afiifa Aaliyah Maharani Ahmad Ridwan Al Fatur Sayid Almira Chairunnisa Amperawan Amperawan Deden Lasmana Destra Andika Dewi Permata Sari Dewi, Tresna DWI RAMADHANI Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Ekawati Prihatini Elisa Islami Putri Emi Ulfianah Erwin Hendra Putra Evelina Evelina Evelina, Evelina Faisal Damsi Faisal Damsi Faisal Damsi Falah Yuridho Farida Isroani Firdaus Firdaus Handayani, Ade Hengky Rosadi Hertani Indah Lestari Hertanti Indah Lestari Hj. Lindawati Husni, M. Daffa Ramadhan Irawan Hadi Irsyadi Yani Iskandar Lutfi Laksono Trisnantoro Linda Wati M. Sobri M. Zakuan Agung Masayu Anisah Masayu Anisah Masayu Annisah Mayastri Devana Mega Hasanul Huda Moch Fachri Moh. Heri Kurniawan Muhammad Arief Hidayat Muhammad Bagaskara Muhammad Khoirun Nadir Mutiara Amanda Najiah Murada Permatasari, Rosmalinda Pola Risma Renny Maulidda Revaldi Andrean Riska Handayani Rizky Vira Robi Robi Rumiasih Rumiasih Sabilal Rasyad Sabilal Rasyad Sanyyah Plowerita Selamat Muslimin Selamat Muslimin Selfi Nurhaliza Sitangsu Sitangsu Siti Nurmaini Sopian Soim Sopian Soim, Sopian Tarmidi Tarmidi Theresia Enim Agusdi Tresna Dewi Tresna Dewi Tresna Dewi Yessi Marniati Yudi Wijanarko Yurni Oktarina

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