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All Journal PROSIDING CSGTEIS 2013 Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ULTIMA Computing Jurnal Sistem Cerdas TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Proceedings Series on Physical & Formal Sciences Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) eProceedings of Engineering Serambi Engineering Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Muhammad Ary Murti
Universitas Telkom
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Desain dan Realisasi I/O Extended Module PLC Mikro Berbasis Prosesor ARM Cortex Nahdatin Hasanah; Agung Nugroho Jati; Muhammad Ary Murti
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstrak— PLC mikro berbasis prosesor ARM Cortex yang telahdihasilkan pada penelitian sebelumnya memiliki 32 port I/Odigital dan 6 port I/O analog. Untuk meningkatkan jumlah portI/O baik analog maupun digital tanpa menambah jumlah PLC,maka perlu ditambahkan extended module I/O. Paper inimenjelaskan bagaimana extended module I/O dirancang sampaidengan direalisasikan bersama dengan PLC mikro. Adapun hasilyang diperoleh dari hasil rancangan adalah extended module I/Odigital 20 input dan 12 output, yang bekerja pada range tegangan2-24 Vdc. Serta extended module I/O analog 4 input dan 2 output,yang bekerja pada range tegangan 0-5 Vdc. Keduanya bekerjadengan konsumsi daya yang rendah.Kata Kunci—Programmable Logic Controller (PLC), ExtendedModule PLC, Analog I/O, Digital I/O
Desain dan Realisasi Ethernet Extended Module PLC Mikro Berbasis Prosesor ARM Cortex Nahdatin Hasanah; Agung Nugroho Jati; Muhammad Ary Murti
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstrak— Sebagai upaya penelitian dan pengembangan bidang elektronika dan control, telah dirancang dan direalisasikan PLC mikro berbasis prosesor ARM Cortex di Fakultas Teknik – Telkom University. Untuk melakukan ekspansi komunikasi, maka dikembangkan modul ethernet yang compatible dengan PLC tersebut. Dari hasil rancangan dan realisasi modul ethernet yang menggunakan WIZ812MJ, diperoleh kesimpulan bahwa modul tersebut compatible terhadap PLC mikro yang ada, dan hanya memerlukan daya sebesar 0,5934 W dengan konsumsi arus sebesar 78,9 mA dari sumber catuan main module PLC mikro.Kata Kunci—Programmable Logic Controller (PLC), Extended Module PLC, Ethernet Module
Speech Recognition Implementation Using MFCC and DTW Algorithm for Home Automation Abdulloh Salahul Haq; Muhammad Nasrun; Casi Setianingsih; Muhammad Ary Murti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2041

Abstract

The use of speech recognition as part of home automation, especially for smart homes, is an exciting thing that is still being developed. That is because of human needs for comfort, convenience, quality of life, and better safety. Speech recognition built in this study is used as a device to control smart home devices by identifying the commands spoken by users, especially in a state of clean speech. The command used is a predetermined consecutive word. For the extraction of voice commands, the MFCC algorithm is used to match spoken words with templates using the Dynamic Time Warping (DTW) algorithm. DTW algorithm can find the difference between 2-time series that have different lengths of time. The results of the accuracy of this system by using these algorithms were successfully carried out by 86.67%, with an average time required to identify the commands of 5.28 seconds.
Implementation of Cryptographic Algorithm on IoT Device’s ID Aditya Kurniawan; Ratna Mayasari; Muhammad Ary Murti
Jurnal Sistem Cerdas Vol. 1 No. 2 (2018): Internet of Things for Smart Society
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (742.457 KB) | DOI: 10.37396/jsc.v1i2.10

Abstract

Data security is one of many problems that we face in IoT implementation. One of the problems with data security is we cannot assure that the data we received in the server-side is truly our data that we send from client-side or sensor-side. With that problems, comes some solutions like encryption and decryption method or some basic authentication planted on the server-side. In this research, we propose some encryption and decryption method that can be easily implemented on both server and sensor-side and then we analyze the complexity of its algorithm. This research aims to create some authentication process for the data that server-side receive from the sensor-side by creating encrypted ID consisting of 6 digits of alphanumeric and useful for identification process in system, so the server can recognize the data and validate it.
SIMULASI SISTEM KENDALI BERBASIS PERILAKU PADA AUTONOMOUS MOBILE ROBOT DENGAN METODA Q-LEARNING Casi Setianingsih; Kusprasapta Mutijarsa; Muhammad Ary Murti
TEKTRIKA Vol 4 No 2 (2019): TEKTRIKA Vol.4 No.2 2019
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v4i2.2879

Abstract

Autonomous robot adalah suatu robot yang mampu bekerja secara mandiri tanpa pengendalian langsung dari manusia. Robot bekerja berdasarkan sensor-sensor yang dimilikinya, mengambil keputusan sendiri untuk menyelesaikan misi dalam lingkungan kerjanya. Dalam dunia nyata, lingkungan kerja robot sangat dinamis, selalu berubah, dan tidak terstruktur. Membuat suatu model lingkungan yang tidak terstruktur sangat sulit. Memperoleh model matematik yang tepat dari lingkungan seperti ini hampir tidak mungkin dilakukan. Untuk membuat suatu autonomous mobile robots yang mampu bekerja pada lingkungan yang tidak terstruktur dan dinamis,diperlukansuatumetodatertentuyangadaptifdanmampubelajar. Berdasarkan permasalahan tersebut maka pada riset ini dirancang suatu autonomous mobile robot dengan arsitektur berbasis perilaku yang dapat belajar dan bekerja secara mandiri pada lingkungan yang tidak terstruktur, menggunakan metoda Reinforcement Learning. Tujuan metoda ini diterapkan agar robot mampu belajar dan beradaptasi terhadap lingkungan yang tidak terstruktur. Selanjutnya robot dikembangkan agar mampu menyelesaikan misi menemukan target pada posisi tertentu berdasarkan informasi yang diperoleh dari sensor sensor yang ada. Hasil simulasi menunjukan bahwa algoritma pembelajaran Reinforcement Learning berhasil diterapkan pada arsitektur kendali berbasis perilaku di autonomous mobile robot dengan akurasi sebesar 85,71%.
Implementasi Modul Komunikasi LoRa RFM95W Pada Sistem Pemantauan Listrik 3 Fasa Berbasis IoT Ahmad Adhitya Nurhadi; Denny Darlis; Muhammad Ary Murti
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2065

Abstract

The use of electricity for large loads such as buildings and industry is a 3-phase electrical system. The manual activity of recording or monitoring data on electricity usage is considered impractical, so the use of IoT devices can be a solution. However, sending data on IoT devices using wired communication and Wi-Fi is considered less suitable considering that the device will be placed in a panel room that is rarely covered in the network. So that the use of other IoT communications such as LoRa can be an option. Therefore, the design and manufacture of LoRa-based IoT devices was carried out. This is done to expand the scope of IoT devices in carrying out 3-phase kWh meter readings. The device sends data through LoRa communication with test parameters, namely RSSI, SNR and throughput. The device made is an interface between a 3-phase kWh meter with LoRa communication which includes a MAX485 IC, ATMega 2560 microcontroller, and LoRa RFM95W communication module. From the test results, the device can send 3-phase kWh meter data every 3.611 seconds with an average throughput of 957.231 bps. LoRa communication performance used in LOS conditions can reach 300 meters with RSSI -107.625 dBm, SNR -13.063 dB. Meanwhile, in non-LOS conditions the lowest RSSI was -103.338 dBm and the lowest SNR was -8.897 dB.
THE CALCULATION SYSTEM OF NUMBER OF PEOPLE IN A ROOM BASED ON HUMAN DETECTION USING HAAR-CASCADE CLASSIFIER Gusti Ngurah Rama Putra Atmaja; Koredianto Usman; Muhammad Ary Murti
Jurnal Teknik Informatika (Jutif) Vol. 2 No. 2 (2021): JUTIF Volume 2, Number 2, December 2021
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2021.2.2.83

Abstract

Data of number of people in the room, calculations are usually carried out by assigning someone to oversee a room. In this final project, a system for calculating the number of people in the room is designed with image processing based on human detection that can be used in rooms, both for commercial applications and for security. This system uses Raspberry Pi device that already has an image processing method Haar-Cascade Classifier. Input data is in the form of video taken directly via webcam to be captured into a frame so that it can be used as a input the Haar-Cascade Classifier method and perform the counting process will be sent to the Antares platform. The system design has been tested with five scenarios. Scenario 1 the effect of the distance of the object, scenario 2 the effect of the pose of the object, scenario 3 the effect of the amount the object in the frame, scenario 4 affects the scale factor and scenario 5 measurement computation time. Scenarios 1 to 3 will do the best configuration for minimum neighbour. The system gets the best accuracy of 98,5% when the object distance 4 meters, the best accuracy of 96,6% when the object is facing forward and accuracy the best is 97,7% when the object in the frame is more than two objects with the best configuration use the minimum neighbour 5. Scenario 4 gets accuracy the best is 76,2% when using the scale factor 1.1. Scenario 5 gets the average computation time of the system is under one second, meaning the detection process done pretty fast.
Studi Literatur Penggunaan Sensor untuk Sistem Deteksi Gempa Rizki Kurniawati; Muhammad Ary Murti
Proceedings Series on Physical & Formal Sciences Vol. 1 (2021): Proceedings of Smart Advancement on Engineering and Applied Science
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.58 KB) | DOI: 10.30595/pspfs.v1i.126

Abstract

As a country located among three major tectonic plate confluences, namely the Eurasian Plate, the Indo-Australian Plate, and the Pacific Plate, Indonesia is an earthquake-prone area. Information about the earthquake occurrences is distributed by the BMKG through social media, websites and television. However, it is undeniable that there are still people who do not have televisions or smartphones. Therefore, earthquake warning systems began to be widely developed. Furthermore, sensors for earthquake vibration detection have an important role in earthquake warning systems. So in this article, the author has conducted a literature study and analysis of the sensors commonly used in earthquake detection systems. This study aimed to present sensor recommendations to be used as earthquake sensors. The result of the literature study, that the author had done, is the selection of sensors is customized to the needs and budget of the project. A description of the sensor recommendations for each project has also been included in this article.
The Detection of straight and Slant Wood Fiber Through slop angle fiber feature Ratri Dwi Atmaja; Erwin Susanto; Junartho Halomoan; Gurnita Koncara Indraloka; Muhammad Ary Murti
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Quality control is one of important process that can not be avoided in industry. Image processing technique is required to distinguish the quality of wood. If it can be done automatically by the computer, it will be very helpful. This paper discusses the detection of straight and slant wood fiber to distinguish it’s quality. This paper propose an algorithm by using only two features i.e. mean (average value of slop angle fiber) and maximumangle (the maximum value of slop angle fiber). Then the classification method is used by tresholding. The result shows the performance is achieved on accuracy 79.2%. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7725
One Layer Object Separation Algorithm in Binary Image Ratri Dwi Atmaja; Erwin Susanto; Junartho Halomoan; Muhammad Ary Murti
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp215-220

Abstract

We propose an algorithm to separate black object in binary image. The algorithm is designed to perform vertical separation first, then followed with horizontal separation. This process is done only once (one layer). Results showed that the algorithm potentially could be developed into n-layer separation in a recursive function. The algorithm also potentially could be developed in adaptive to determine when to use a vertical or horizontal separation first. It could be expected to reduce the recursive number.
Co-Authors Abdulloh Salahul Haq Achmad Rizal Adam, Muhamad Dhani Aditya Kurniawan Agung Nugroho Jati Ahmad Adhitya Nurhadi Ahmad Fauzan Jaya Akbar Budi Wikanta Alif Ghifari Amanda Austin Herlambang Andi Shridivia Nuran Andi Wahyu Adi Arryansyah Andi Zulfakar Angela, Fallerina Ribka Angga Rudinar Anggawa Kharisma Hananta Aprillia, Rizky Arfian, Ganjar Tri Azam Zamhuri Fuadi Bachri, Ibram Muharam Baihaqi, Zaidan Fitra Bazwir, Arasy Billy Ahmad Abdilah Cahya Kusuma Ardhi Casi Setianingsih Denny Darlis Difa Surya Putra Erwin Susanto Estananto Fahmi Ahmad Fauzi Faisal Budiman Fiky Y. Suratman Gandeva Bayu Satrya Gurnita Koncara Indraloka Gusti Ngurah Rama Putra Atmaja Hafizh , Luthfi Abdul Haq, Abdulloh Salahul Ibnu linursafa Imron Rizaldi Indra Prastowo Inung Wijayanto Irawan Dwi Purnomo Irfan Suhendra Irvan Akbar Anka Pratama istiqomah istiqomah Junartho Halomoan Koredianto Usman Kusprasapta Mutijarsa Listy Amalia Luthfi Abdul Hafizh Maruli Tua Baja Sihotang Modirono, Muh Ihsan Akmal Muhamad Ramadhan Muhammad Fathurrohim Nur Muhammad Hablul Barri Muhammad Imam Nashiruddin Muhammad Nasrun Muhammad Nur Rasyid Nahdatin Hasanah Napitu, Jefri Radianto Novi Prihatiningrum Nyoman Bogi Aditya Karna Porman Pangaribuan Rahadian Reza Rizaldy Rahmat Awaludin Salam Rahmat Syamsudaris Ramadhan, Muhammad Rifqi Ramdhan Nugrah Ratna Mayasari Ratri Dwi Atmaja Refnaldy Hartono Rezka Bunaiya Prayudha Rizka Alifya Rahman Rizki Ardianto Priramadhi Rizki Kurniawati Rizqi Surya Utama Sasmito, Ahmad Yulianto Bekti Selvy Zelia Sari Shalahuddin Kartika Candra Sony Sumaryo Syafri Akhsanul Iqbal Unang Sunarya Wahyuni, Putri Stri Willy Anugrah Cahyadi