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All Journal International Journal of Electrical and Computer Engineering Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Rakhmadhany Primananda
Fakultas Ilmu Komputer , Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Rancang Bangun Sistem Pengamatan Ketinggian Air dan pH Air pada Sawah dengan Komunikasi LoRa menggunakan Metode Time Divison Multiple Access (TDMA) Irvana Alfiyan Nur; Mochammad Hannats Hanafi Ichsan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Rice fields are one of the most important agricultural sectors for a country, because rice fields are the largest source of food for the Indonesian people. Like rice, rice is a relatively short-lived seasonal crop. Rice production itself is largely determined by plant genetics and environmental management of the land. In the process of rice farming, sufficient water and regular nitrogen fertilizers on the land are needed. Lack of understanding of most farmers in cultivating land is one of the problems in agriculture that can make crop yields less than optimal. Therefore, a monitoring system with WSN (Wireless Sensor Network) technology was created to help monitor water level and water pH, making it easier for farmers to find out the benchmark for water level and the pH value of water in their land. The system consists of 3 (three) slave nodes and 1 (one) master node which is in charge of sensing and sending data on water level and water pH. From the test results that have been done, the system can send data from the slave node to the master node using LoRa SX1276 communication. The device is capable of covering a large area with low power consumption with an RSSI signal at node 1 of -112.88 dB, node 2 of -102.76 dB, node 3 of -110.1 dB. The system is also equipped with the TDMA method, which is useful for scheduling data delivery that can reduce data collisions. The results of the sensing data will be displayed periodically on ThingSpeak.
Implementasi Wireless Mesh Network berbasis Protokol Routing BATMAN untuk Video Live Streaming dengan menggunakan Fitur Network Coding Muhammad Fattah Na'im Pang Ripto; Primantara Hari Trisnawan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Live Streaming Video is one technology that is still used today. The main challenge with streaming is that it requires a large bandwidth to run properly. With a modern multi-hop network topology and intersecting node paths, the requirement for connection to live streaming video is getting bigger due to busy network traffic. This has an impact on the value of Quality of Services (QoS) and user convenience. Network coding can be used at relay nodes to increase the QoS value, especially throughput on the network by channeling packets from two sources simultaneously. The research was carried out using the BATMAN proactive routing protocol, which only looks for the best next-hop path so that it is efficient in a Wireless Mesh Network with a total of five hardware nodes. Quality of Services (QoS) testing is carried out on two devices, namely node C and node D which stream on node A and node B with node E as an intermediary. After the network coding was implemented, the throughput value in the test at node C increased at QCIF resolution of 0.00014 MB/s and CIF of 0.109199 MB/s compared to normal conditions without network coding. While at node D, the increase in throughput after network coding also occurs at QCIF resolution of 0.000336 MB/s and CIF of 0.000345 MB/s. The results of the test parameters are in accordance with the theory of using network coding, which after implementing the throughput value shows an increase.
Studi Perbandingan Kinerja Routing Protokol DSDV dan OSLR dengan Skenario Pemutusan Link menggunakan NS3 Yemima Dara Gloriawati; Rakhmadhany Primananda; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Natural disasters are an event that could cause damage to the infrastructure of communication networks in certain areas. Thus, it is vital that a network of technology be able to run without the use of infrastructure. Such infrastructure is usually made either wirelessly or wirelessly. Such infrastructure, called MANET (mobile ad-hoc network). In today's the need for users to use mobile devices with a wireless connection is increasing. Selection of different types of routing protocols can affect the workings of package delivery and conditions on a network. With this it will be done a comparative interproaktive routing performance. Where in this matter can use the routing of DSDV and OLSR. The routing performance of the protocol is known by performing network simulations on simulators in network simulators 3 (NS3). This test uses variations in the number of nodes and also the network area with parameters such as average-end-to-end delay and packet delivery ratio. If the network load is greater then average end-to-end delay will be higher, whereas for packet delivery ratio is even lower when the network load is large. With the largest number of nodes, namely 50, the DSDV will produce an average end-to-end delay of 0.0102061ms while the OLSR is 0.457827ms. Then to DSDV will result in packet delivery ratio of 85.39% while OLSR amounted to 91.01%. With the largest network area of 1000m2, the average end-to-end delay on DSDV is 0.0295672ms while the OLSR is 0.0103463ms. Then for packet delivery ratio in DSDV amounted to 65.65%, while the OLSR amounted to 91.77%. Overall, it can be concluded that OLSR is more effective to use.
Implementasi Routing Statis menggunakan Media Komunikasi LoRa dan Websocket untuk Pengiriman Data dari Sensor ke Cloud pada IoT Mohamad Lutfi; Primantara Hari Trisnawan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In general, the IoT environment consists of the internet and the Wireless Sensor Network (WSN). WSN is a collection of sensor nodes that can collect data and communicate with each other. To communicate with each other, WSN requires a protocol, for example is LoRa. LoRa has the advantages of wide coverage and low power consumption. However, LoRa has a weakness. The communication is still limited to one hop and LoRa cannot directly send data to the cloud. To solve the one-hop problem, static routing is used, so that it can send data in multi-hop. Static routing is used because it is suitable for small network implementations. For the problem of not being able to send data to the cloud, a gateway that can communicate with the cloud is added using the Websocket protocol. Websocket was chosen because it has a smaller round trip time than MQTT and lighter than HTTP. Performance testing is carried out with three parameters, successful rate, round trip time and delay. The results of the successful rate test, data from nodes 1 and 2 are sent and stored 100% to the cloud, node 3 is sent 94%,, while sensor node 4 is sent 92%. The results of the round trip time test are that nodes 1 and 2 require 0.2 seconds, node 3 takes 0.4 seconds and node 4 takes 0.7 seconds The more hops that are passed, the more risk of data loss and resulting the longer time The results of the delay test, in the first experiment the sensor node 2 got the longest results and in the second test it got the fastest results. This is influenced by internet network conditions which make different results.
Algoritma Fuzzy Inference System sebagai Mitigasi Broadcast Storm pada Protokol Ad-Hoc On Demand Distance Vector (AODV) Selma Aulia Sekarrizky; Reza Andria Siregar; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile Ad-hoc Network (MANET) is a network without constantly infrastructure. MANET has a system that can manage itself from mobile nodes. Every nodes will find a routes sent from source nodes to destination nodes, this progress called routing. There are 3 category of routing protocols i.e. proactive protokol, reactive protocol and hybrid protocol. Ad-hoc On-Demand Distance Vector (AODV) is one of the example of reactive protokol. A routes will be formed if a nodes request for a transmission which is sent a route request packet (RREQ) from source nodes to destination nodes. if RREQ packets doesn't received by destination nodes or neighbors nodes, the source nodes will rebroadcast the RREQ packets until the destination nodes receive it and sent the route reply packets back with the same path. If it happens a lot, then flooding packets will occur. If flooding packets happens in a network, then congestion might happen and it called broadcast storm. Broadcast storm will impact redudancy packets, contention and collision. Fuzzy Inference System (FIS) is good for decision making case. So it can be a solution to mitigate broadcast storm. FIS will be used as Hello Interval specifier with network size and mobility as classification parameter. This research use nodes speed 0-10m/s and 0-5m/s as simulation parameters. The result is AODV with FIS and speed 10m/s has better result. AODV with FIS has lower routing overhead than original AODV for all nodes. AODV with FIS with speed 0-10m/s has 1% lower on nodes 150 and 200 which is in high category than original AODV. AODV with FIS with speed 0-10m/s has 12% and 8% higher on nodes 25 and 200 which is in low and high category.
Studi Kinerja Protokol Routing Ad-Hoc On Demand Multipath Distance Vector (AOMDV) dalam Lingkup Vehicular Ad-Hoc Network (VANET) pada Daerah Perkotaan Abraham Arya Satyana; Primantara Hari Trisnawan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vehicular Ad-hoc Network (VANET) is a network formed from many nodes that communicate with each other without any main network. To be able to communicate with each other, a process is needed to determine the path for information exchange. The process of determining the path of information exchange is called by routing. The number of nodes incorporated in the VANET network may cause a high routing load on the network. But it can be minimized, one of which is the multipath method. The Ad-hoc On Demand Multipath Distance Vector (AOMDV) protocol is one of the routing protocols that has a multipath method. The multipath method in the AOMDV protocol works by providing an alternative routing path that will be used if the main routing line is cuts off on its multipath mechanism. The performance of the AOMDV protocol can be determined based on testing of Quality of Service (QoS) parameters; Packet Delivery Ratio, End-to-end Delay, Normalized Routing Load, Overhead Routing, and Convergence Time. And based on the test results of the QoS parameters that have been tested, the AOMDV protocol runs optimally at a speed of about 75 km/h.
Prototype Alat Seleksi Pompa Cadangan dengan Algoritma K-Nearest Neighbour berdasarkan Transmisi Data I2C Andrean Dwi Andaru; Mochammad Hannats Hanafi Ichsan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Currently, the industrial sector is experiencing high growth. One of the reasons is the government's role in creating a conducive investment climate, so that many foreign investors invest in the country. Industrialization increases people's income which drives changes in the economic structure in many countries. In running production operations at the factory, the main components must be able to run well, be it production machines, raw materials, or other production factors. When there are components that are not running as they should, it will hamper the production process and can cause losses. For example, what happened at the Baltimore manufacturing plant. The factory made Johnson & Johnson's COVID-19 vaccine because of an error in mixing vaccine raw materials. The factory damaged 15 million doses of Johnsn & Johnson's COVID-19 vaccine Based on the problems contained in the article, a system is needed that can prevent errors from mixing raw materials. A spare component is needed that checks before mixing the raw materials. In this case, a method is needed to become a selection system by entering into certain categories so that it can determine which spare components need to be operated. Grounded on the problems that have been described preliminarily and also assignments learned from affiliated exploration, the authors choose the KNearest Neighbor (KNN) system for opting the applicable category. Here the author uses the Arduino Uno microcontroller as a processor, ldr sensor and also a 5v dc pump. The result is the I2C communication protocol can be implemented on systems with wired library owned by Arduino IDE. System accuracy for rgb detector is 100%. Operational changing from main pump to a backup pump can be executed with the parameters of the main pump operational failure. The implementation of the knn algorithm use the arduino_knn library contained in the arduino IDE.
Implementasi N-Modular Redundancy pada Vehicle Accident Report System Bayu Bagus Prabowo; Rakhmadhany Primananda; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vehicles are one of the necessities needed by humans at this time, especially in Indonesia, where the number of vehicle accidents is quite large, especially in remote areas, and far from health facilities. For that we need a vehicle accident report system, which is reliable and accurate. The tool must be able to detect accidents accurately and be able to send messages to the victim's family. However, in an accident, the vehicle will be in a condition that can cause damage to components or modules as a whole. These problems can cause the device to be unable to detect accidents. Therefore, the system must be equipped with the N-Modular Redundancy method, as a method to disguise errors that occur in the module and allow the tool to continue to work, even if there is damage. N-Modular Redundancy or NMR is a method based on the principle of the Triple Modular Redundancy or TMR method, but this method uses "N" modules instead of three as in TMR. (Elena Dubrova, 2013). The system consists of 3 MPU-6050 sensors as vehicle tilt sensors, 1 TC9548A module as a hardware fault tolerant implementation, 1 Arduino Nano as a microcontroller, and 1 NodeMCU ESP8266 as a message sender. From the test results, the tool has a reliability value of 95%, and a failure rate value of 0.24%, and is able to run 50% more test cycles than identical tools that do not have a reliability function. The results of the tool process will be displayed in the e-mail.
Penerapan Algoritma Diffie Hellman Key Exchange dalam Komunikasi Data Antarnode pada Wireless Sensor Network Holden Gunawan; Agung Setia Budi; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One key exchange method that has been developed is Diffie-Hellman key exchange (DHKE), which can be used to securely create shared secrets between the two devices over an unsecured network. The two devices running this algorithm have their own secret variables, exchange two public variable values, and perform calculations using accepted variables as well as randomly obtained secret variables to obtain shared secretes. In this study built a system with ESP32 microcontroller as data processing, has Cryptographic hardware acceleration one of which is a random number generator (RNG), supporting Wi-Fi communication protocols. The DHT11 sensor collects data with measuring parameters and is transmitted to a gateway connected to ESP32 and monitored wirelessly. Average computing time and delivery from ESP-1 to ESP-2 and ESP-3 is 0.084 seconds and 0.079 seconds.While the delivery from ESP-2 and ESP-3 to ESP-1 amounted to 3.315 seconds and 3.307 seconds. It can be concluded that the factors that affect the length of delivery time are client requests first to the server and queues on the server in serving the client.
Analisa Akurasi dari Pendeteksian Berjalan pada Variasi Peletakan Sensor IMU, Filter Kalman dan FIR, serta Klasifikasi KNN dan Naive Bayes David Isura; Hurriyatul Fitriyah; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Development of research in footsteps has been carried out, especially by using IMU sensor. IMU sensor is a system that can detect changes in speed, orientation of the gravitational force. However, the accuracy in measuring "footsteps" using IMU sensor is not yet accurate, due to inconsistent human footsteps, different body shapes, stepping models and so on. In this research, researchers used MPU6050 sensor where the sensor produces two types of sensors, namely accelerometer sensors and gyroscope sensors. Sensor placement points are located on the wrist, calf and thigh. Sensor used will produce three axis, where each axis is filtered using a Kalman Filter and a Finite Impulse Response (FIR) Filter. After the data is filtered, then data will be classified with the data has been sorted (training data). The classification used is K-NN and Naive Bayes. The use of the best filter is owned by the Kalman filter, which has the lowest average ratio compared to the FIR filter, which is 0.378. Accuracy results obtained from research that has been carried out are 92.5%, where the accuracy has a combination of the use of gyroscope sensors, sensor placement in the calves, the use of Kalman filters and the Naive Bayes classification algorithm. The resulting computation time is 0.23 seconds.
Co-Authors Abimanyu Sri Setyo Abraham Arya Satyana Achmad Basuki Adhitya Bhawiyuga Aditya Geraldo Aditya Hermawan Aditya Prayudhi Agiya Yoshua Agung Setia Budi Ahdi Hudaya Ahmad Fajri Rahman Ahmad Faris Adhnaufal Ahmad Fikri Marzuqi Ahmad Ghufron Agustian Ajeng Nurrohmah Akbar Pandu Segara Alfrienza Tighfaraka Alifibioneri Ali Ali Ammar Waliyuddin Jannah Andi Yudiko Leonardo Solin Andre Ananda Pratama Andre Rizki Haryuaditya Andrean Dwi Andaru Andreas Widyatmoko Anggit Surya Gumilang Aprilia Kartika Sriastunti ari kusyanti Arief Indra Rivaldy Permana Arief Sukma Indrayana Arif Rahmanto Arya Sena Marga Mukti Asroful Khusna Arifianto Aswin Suharsono Aulia Nabih Rizqullah Bagas Gerry Caesario Bagos Wahyu Suprayugi Baiq Findiarin Billyan Bambang Gunawan Tanjung Bayu Bagus Prabowo Bella Aulia Rahmataufany Brillian Taufan Budiyanto Budiyanto Cakra Bhirawa Chrisyantar Hasiholan Da'imul Royan Dahnial Syauqy Damianus Dewa Pratama Daniel H. Simatupang Dany Primanita Kartikasari Dany Rahmana David Isura Dedy Andrean Ardiansyah Dedy Tinovrasibo Nababan Desy Ulina Purba Dhani Wahyu Wijaya Dimas Malik Ibrahim Edgar Juvianno Santoso Eka Putri Aprilianingsih Eko Aditya Ramadianto Eko Setiawan Enggar Saka Dirgantara Erricson Bernedy Setiawan Fadila Rafi Alifiandi Fahmi Ardiansyah Faizal Ramadhan Fajra Rizky Faris Naufal Al Farros Fariz Andri Bakhtiar Fathia Ningtyasari Aroeboesman Feriz Pradibya Uditama Fikri Miftah Akmaludin Firza Nur Hibatullah Fitriyah, Hurriyatul Frans Muliawan Panjaya Galeh Fatma Eko Ardiansa Galih Bhaktiar Candra Getdra Saragih Sumbayak Gibran Haq Giservin Tifira Zain Hafizhul Karim Helmy Rafi Nawawi Heri Setiawan Heru Nurwarsito Heru Nurwasito Hidayatus Syafa'ah Holden Gunawan Hudan Abdur Rochman I Putu Krisna Yoga Tanaya Igo Vicky Firmandia Ira Oktavianti Irfani Fadlan Irvan Ramadan Irvan Wahyu Bagus Pratama Irvana Alfiyan Nur Irwan Primadana Mulya Izaaz Waskito Widyarto Jefri Muhrimansyah Jenrinaldo Tampubolon Jodi Prayoga Wahyudwi Kasyful Amron Kevin Charlie Kurnia Ade Prasetia Laisa Ryry Pudja Mentari Lastio Irfathan Ananda Lucky Ronny Chandra Negara Lutfi Fanani Lyna Dwi Maryati M Ilham Fadilah Akbar M. Ammar Batistuta Haryawan Mabda Amnesti Hananto Mahendra Data Moch. Wahyu Imam Santosa Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Moh Irfan Haris Mohamad Ilham Firdaus Mohamad Lutfi Muhammad Afian Musthofa Muhammad Alfarizi Muhammad Fachri Hasibuan Muhammad Farradhika Muntaha Muhammad Fattah Na'im Pang Ripto Muhammad Hannats Hanafi Ichsan Muhammad Mahar Jahary Muhammad Naufal Aziz Huryansyah Muhammad Nursodik Wicaksono Muhammad Rasyid Perdana Muhammad Reza Wahyu Chrisdyan Muhammad Risyat Nashrullah Muhammad Sabilillah Mukhamad Roni Nugraha Pangestu Nur Cahyo Utomo Nuril Huda Pramudya Mahardika Kusumawardhana Pramukantoro, Eko Sakti Prastise Titahningsih Primantara Hari Trisnawan Putri Ayu Delina Sari Putri Rizqia Hardein Rendyanto Adi Kurniawan Resya Wakhid Ardiansyah Retno Perwita Sari Reynald Novaldi Reza Andria Siregar Rifki Pinto Hidayat Risailin Dwi Jaka Fauzi Riza Anisul Fu'ad Rizal Maulana Rizqi Agung Dwi Nugraha Sabriansyah Rizqika Akbar Salsabila Salsabila Sastra Ginata Satria Kencana P. Kacaribu Selma Aulia Sekarrizky Shindy Maria Ulfa Siwi Rahmat Januar Suhadak Akbar Sultan Achmad Chidir Fajar Sutikno Sutikno Syahifudin Shahid Syahmi Rifqi Hudha Perwira Syifaul Hud'riyah Tugar Aris Andika Prastiyo Raharjo Upik Jamil Shobrina Vico Andrea Budi Harto Wahyu Pria Purnama Wian Virgi Widasari, Edita Rosana Widhi Yahya Wijaya Kurniawan Wisnu Fajar Dewantara Yefta Kristiyanto Yemima Dara Gloriawati Yugi Trilia Septiana Zaky Farsi