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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

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Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification Nyayu Latifah Husni; Siti Nurmaini; Irsyadi Yani; Ade Silvia
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method to see the sensors' performance in real situation. These performances are considered as the base of choosing the position in collecting the datasets. The sensors in dynamic experiment have average of precision of 93.8-97.0%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the collected datasets can support the SVM in improving the intelligent sensing when conducting odor classification work.

Metal Oxides Semiconductor Sensors for Odor Classification Nyayu Latifah Husni; Ade Silvia; Siti Nurmaini; Irsyadi Yani
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 6, No 3: November 2017
Publisher : Institute of Advanced Engineering and Science

The performance of gas sensor will differ and vary due to the surrounding environment changing, the way of implementation, and the position of the sensors to the source. To reach a good result on gas sensors implementation, a performance test on sensors is needed. The results of the tests are useful for characterizing the properties of the particular material or device. This paper discusses the performances of metal oxides semiconductor (MOS) sensors. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability of the sensor when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method in order to see the sensors' sensitivity to the uncertainty disturbances, such as wind. The result shows that metal oxides semiconductor sensor was responsive to the 3 sources not only in static but also dynamic conditions. The expected outcome of this study is to predict the MOS sensors' performance when they are applied in robotic implementation. This performance was considered as the training datasets of the sensor for odor classification in this research. From the experiments, It was got, in dynamic experiment, the senrors has average of precision of 93.8-97%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the sensors were selective to the odor they sensed.

Robot Classifying of Gas using Support Vector Machine Method Moch Fachri; Nyayu Latifah Husni; Ekawati Prihatini
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 3, No 1 (2018): April 2018
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Fires often happen in the environment of industrial chemical plant caused by harmful gases. To minimize the incident that can be triggered by the gas it takes a tool capable of classifying gases are in the environment industry. The purpose of this research is to know the success in classifying gas on a fire that was triggered by the dangerous gases. We offer solutions in design and build a mobile robot that can classify objects contain hazardous gases by using the method of pattern recognition, the age of the SVM is still relatively young. Nevertheless, the advantages of SVM compared to another method lies in its ability to find the best hyperplane that separates the two class. Based on the results of testing data can classify SVM managed in accordance with the class. The degree of accuracy achieved SVM in classifying reached 86.66 %.

Pemanfaatan Sensor Jarak dan Sensor Warna pada Proses Penanaman Benih Menggunakan Smart Mini Robot Agriculture Ekawati Prihatini; Nyayu Latifah Husni; Selamat Muslimin; Najiah Murada; Ahmad Ridwan
TEKNIKA Vol. 15 No. 1 (2021): Teknika Januari - Juni 2021
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7327014

Indonesia adalah negara agraris yang memiliki potensi alam di bidang pertanian. Pada saat ini, sebagian besar petani masih menanam benih dengan menggunakan metode konvesional yang membutuhkan banyak tenaga dan operator (manusia). Penelitian ini menawarkan robot penanaman benih secara otomatis. Robot ini dibuat untuk efisiensi waktu dan tenaga para petani. Robot ini dilengkapi dengan microkontroller Arduino Mega sebagai sebagai komponen utama, serta beberapa komponen pendukung lainnya, seperti: sensor ultrasonic, sensor warna photodioda, motor servo dan driver motor L298N. Dari hasil pengujian dapat dilihat bahwa robot dapat bekerja dengan maksimal. Motor servo mg996r pada posisi kiri, pada keadaan normal memiliki sudut servo 00 dan ketika bekerja sudutnya sebesar 1150. Sedangkan, untuk posisi sebelah kanan, pada saat normal, sudut servo 600 dan bekerja 500. Motor servo sg90 melakukan proses penutupan lubang tanam, dengan sudut servo pada saat menutup 00 dan membuka 600 ketika berada pada posisi sebelah kiri dan pada saat menutup 900 dan membuka 600 untuk posisi sebelah kanan Kata kunci—Penanam benih, sensor jarak, sensor warna, motor servo

PENGENALAN KONTUR TANGAN PADA PENGKODEAN BAHASA ISYARAT BAGI PENDERITA TUNA RUNGU WICARA DENGAN MENGGUNAKAN METODE SHAPE BASED HAND GESTURE Ade Silvia Handayani; Nyayu Latifah Husni
TELISKA Vol. 15 No. 3 (2014): Teliska September 2014
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.267 KB)

Tuna rungu wicara merupakan kehilangan kemampuan mendengar yang disertai tidak mampu mengembangkan kemampuan bicaranya dalam kehidupan sehari-hari untuk melakukan komunikasi.Ketidakmampuan untuk berkomunikasi dengan normal membuat para penderita tuna rungu dan tuna wicara sulit untuk diterima dalam komunitas mayoritas normal.Sedangkan komunikasi yang digunakan adalah Sistem Isyarat Bahasa Indonesia (SIBI), dengan komunikasi isyarat menggunakan pergerakan tangan (Hand Gesture).Kelemahan jenis komunikasi ini adalah sering tejadi kesalapahaman dan keterbatasan, dikarenakan bahasa isyarat umumnya hanya dimengerti oleh kelompok minoritas. Untuk membantu melakukan komunikasi dengan efektif secara real time, maka perlu adanya alat komunikasi dua arah yang dapat digunakan untuk mengkodekan pola hand gesture menjadi teks, image dan suara supaya dapat dimengerti oleh semua orang. Dalam penelitian ini memfokuskan pada Hand Gesture Recognition menggunakan Algoritma Shape Based Hand dimana metode ini mengklasifikasikan image berdasarkan kontur tangan dengan menggunakan jarak Hausdorff dan jarak Euclidean, untuk menentukan tingkat kemiripan antara dua tangan berdasarkan jarak terpendek. Hasil dari pengujian ini dapat mengenali 26 huruf isyarat, tingkatakurasi pengenalan bahasa isyarat tangan 85%,pada image tangan orang yang berbeda, yang diambil pada sesi yang berbeda dengan kondisi pencahayan serta jarak image ke kamera. Serta dapat mengenali 70% kontur tangan yang berbeda dari sample yang diambil. Dengan menggunakan metode ini dibandingkan dengan penelitian lain, adalah semakin banyak jumlah objek (kontur tangan) yang digunakan, maka terdapat sedikit klasifikasi ukuran tangan. Sehingga dengan mengunakan metode ini ukuran tangan dapat diminimalisir, apabila menggunakan subjek yang banyak.Kata Kunci :kontur tangan, bahasa isyarat, metode shape based hand gesture, jarak Hausdorff, jarak Euclidean.

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.

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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