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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Sosiologi USK (Media Pemikiran & Aplikasi) SANGKEP: Jurnal Kajian Sosial Keagamaan Habitus: Jurnal Pendidikan Sosiologi dan Antropologi Jurnal Ekologi, Masyarakat dan Sains Equalita: Jurnal Studi Gender dan Anak Journal of Gender and Social Inclusion in Muslim Societies Jurnal Ilmu Sosial dan Ilmu Politik Malikussaleh (JSPM) Hasanuddin Journal of Sociology (HJS). Yinyang: Jurnal Studi Islam Gender dan Anak Jurnal Sosiologi Dialektika Sosial Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik) Jurnal Ilmu Sosial dan Ilmu Politik JINNSA : Jurnal Interdisipliner Sosiologi Agama Jurnal Forest Island
Eko Setiawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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Rancang Bangun Sistem Monitoring dan Klasifikasi Lingkungan Hidup Larva Lalat Tentara Hitam (Hermetia Illucens) dengan Metode K-Nearest Neighbor (K-NN) Amri Yahya; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The process of biodegradation is the activity of using a microorganism to carry out the process of handling waste quickly. Microorganisms that can handle waste efficiently are black larvae. Environmental quality of larvae supports the process of biodiversity. The environmental quality monitoring system uses several sensors and a microcontroller which is packaged in the form of a monitoring and classification system. Classification of the k-NN method produces three classes namely "Optimal", "Medium", and "Bad" with input of some environmental quality of larvae. Internet of Things (IoT) is used to send monitoring and classification system data results to an Android application. The results of the k-NN classification test showed 91.3%. Computational time testing gets time with an average of 4275ms on a system. Testing the sending of data from the system to Firebase and Firebase to the Android application results that 100% of data is sent according to the monitoring and classification system data.
Pengoptimalan Lampu Lalu Lintas menggunakan Metode Naive Bayes Classifier Ivan Kasogi; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Congestion is one of the main problems for big cities in Indonesia. This is influenced by the growth number of vehicles in Indonesia that are not matched by road growth. So, congestion cannot be avoided. In addition to these factors, the static traffic system in Indonesia contributes as a cause of congestion. at a traffic junction, sometimes a segment must wait for waiting time, while in other segments that intersect have no queue. So in this research of traffic light optimization system was designed using the naive bayes classifier method which was simulated using the SUMO Simulator Software and will communicated with Arduino through serial communication. In this research the density or length of the queue and each section will be used as input system that will be processed with training datas. The output system is the duration of traffic light that adjust by density in each sections. From the tests carried out, the suitability of naive bayes classifier with training datas reaches 100%. The Arduino and SUMO Simulator suitability tests reached 100% and the traffic light system optimization test using the naive bayes classifier produces a percentage of 86,66% better than the traffic system without naive bayes classifier of 15 times the side carried out.
Perancangan Dan Implementasi Sistem Pola Berjalan Pada Robot Hexapod Menggunakan Metode Inverse Kinematic Abdullah Asy Syakur; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are many types of robot as a helper device, such as legged robot. This legged robot has the ability to crawl and walk even on a terrain which can't be reach by other vehicle. There are many contest of firefighter robot for legged robot. Six legged robot (hexapod) is the most often to use in robot competition because of it's walk stability is better than any other legged robot. This research using hexapod which each leg has 3 DOF of servo. The walking gait of hexapod are calculated using inverse kinematic to generate the motion angle of servo on each DOF. Each DOF on this hexapod are build from Dynamixel AX-12 servo, and Arduino as the processor of the inverse kinematic calculation. Input of inverse kinematic based on coordinate of “end-of-effector”. The generated angles are sent to each servo in motion data format, so the end of effector can move to the expected position. There are 4 step in one cycle walk of a leg, the position of each step are calculated with inverse kinematic. The accuracy test shows that the end of effector has 3.51 % of mean error. The accuracy test of straight-walk-accuracy test shows that hexapod has 7.14 % of mean deviation error on average speed 17,27 cm/second. While the side walk test result has 3.76 % of deviation error on speed 14.27 cm/second
Implementasi Prototype Kapal sebagai Sistem Monitoring Kualitas Air menggunakan Algoritme Naive Bayes Axel Elcana Duncan; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Living things really need water as a source of life. Lots of people use water in the waters for various things. Water quality standards using three characteristics, physics, chemistry, and biology are prerequisites for water quality. Through its very important role for all living things, it is very much needed an embedded system that is equipped with an algorithm for monitoring water quality, given the complexity, and conventionality of existing methods for measuring water quality. A ship prototype system using Arduino Nano, WEMOS D1 Mini, Genuine Analog pH Meter sensor, DS18B20 sensor, Turbidity sensor, JSN-SR04T sensor, L298N motor driver, and 6V DC motor can help from existing problems. This system is in the form of a ship so that it can carry out comprehensive monitoring. This system also uses the Naive Bayes algorithm in classifying through features such as pH, temperature, turbidity, and depth as inputs. Good, medium, and bad results will be the class will be output. In getting these results, this system uses as many as 40 training data and 20 test data. The average error reading of the Genuine Analog pH Meter sensor from 10 tests is 8,233%. The average error of DS18B20 sensor readings from 10 tests is 0.859%. Turbidity sensors have a linear graph, the more turbid the water the smaller the voltage value. The average error of sensor reading JSN-SR04T from 10 times the test is 2.492%. The accuracy of sending data from 10 tests is 100%. The accuracy of the classification using the Naive Bayes algorithm is 90%. The average computational time performed by the system from 10 tests is 3.7055 ms. The accuracy rate on the drive system from 3 times of testing is 100%.
Navigasi Robot Beroda menggunakan Algoritma SVM (Support Vector Mechines) Nengah Affan Riadi; Gembong Edhi Setyawan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robots need a navigation ability to operate properly. One of the navigation implementations of the wheeled robot is that the wheeled robot can help the SAR (Search and Rescue) team find victims. Wheeled robots need a navigation algorithm to do the job. This research will use one type of navigation algorithm, the SVM (Support Vector Machines) algorithm. In addition, the wheeled robot also requires a sensor and actuator that can support the performance of the wheeled robot. This research will use an Ultrasonic Sensor which is used to detect obstacles around the robot wheel and DC motor as the propulsion of the wheeled robot. The results of the tests conducted in this study, obtained the best PWM (Pulse Width Mudulation) motor value that will be used for operating robots is 150, Ultrasonic Sensors and DC Motors have a pretty good functionality and can be used in robots with wheels well, and accuracy SVM algorithm output that compares with the actual output is 87.5%.
Sistem Navigasi Waypoint Pada Robot Beroda Berdasarkan Global Positioning System Dan Filter Kalman A. Ashar Ashari; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robot is one of the most popular categories of mobile robots in the field of its science development. By its functional aspect, a wheeled robot is expected to be able to assist humans in terms of optimized transportation, unmanned exploration vehicle, and etc. The wheeled robot development will continue to run, and as well as its problem of sensor readings, positioning, and navigation system. Waypoint takes an important part in terms of developing navigation systems. In its application, waypoint navigation systems on a wheeled robot are used for reading a correcting position mistake, from GPS data alongside a sensor capable to pinpoint a heading and acts like a compass that can be able to establish a rotational motion. This research has the aim to improve the accuracy of reading data from the GPS module with or without implementing the Kalman Filter and also establishing rotational motions. The results of the research conducted, it was concluded that the accuracy of the magnetometer sensor is at the limit around 1° - 2 ° at the fault tolerance limit with testing parameters 6.1, 7.1, 8.1, 9.1, and 10.1. From the results of the GPS module, it was found that the level of module accuracy varies but is still within a 10m success radius
Sistem Biometrik Gerakan Tanda Tangan Menggunakan Sensor MPU6050 dengan Metode Backpropagation Muhamad Delta Rudi Priyanto; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Signature is a someone unique identity used in presence system as attendance proof and official documents approval. Besides written on paper, signatures are also recorded digitally. To recognize signatures in the realm of technology is called biometrics while the method often used is backpropagation. Signatures are included in the biometric behavioral category with one of the dynamic characteristics of measurement carried out by calculating duration of writing and changes in writing movements. One of the motion recorder technologies is MPU6050 sensor. This sensor is used to get the writing duration feature through many data sets recorded when signature, then changes in vertical movement through gx and changes in horizontal movement through gy. This feature is extracted to be calculated by backpropagation method in tensorflow and requires training data and test data. The training data of this study uses signatures of five different people with five signatures for each person. Testing is done by predicting the five signatures of five people whose signature patterns have been recorded. From the MPU6050 sensor testing, MAPE 17% is obtained. On signature recognition using backpropagation, MAPE was 33%. On prediction signature shows an accuracy of 80%. And at the time of computing requires approximately 54.63s.
Sistem Pendeteksi Kualitas Tanah Tanaman Kedelai Menggunakan Metode K-Nearest Neighbor (K-NN) dengan Arduino Nano Andika Bhayangkara; Eko Setiawan; Hurriyatul Firtiyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Soybean is a top priority crop in food and also includes a commodity that has a high protein in helping meet the nutritional needs of the community at a relatively cheap price when compared to animal protein commodities. Soybeans with a high enough protein must be able to be produced well so that people can get good protein with relatively cheap prices. With the target of increasing production that is able to meet the needs of the community, it is necessary to consider plant growing media in order to grow well. Soybean media media uses soil that has a good nutrient retreat so that it can grow well. So with this we need a system that is able to detect soil quality that will be used as a planting medium for soybean plants. This study will challenge the system that is able to improve the quality of soybean plants using the K-Nearest Neighbor (KNN) classification method by using soil pH parameters and process moisture through the soil supported by Arduino Nano boards as data processing. The classification process will be carried out by collecting data from several soil qualities, then the conversion of land is approved using a pH sensor and a Capacitive Soil sensor, the pH data of the humidity data obtained will use the K-Nearest Neighbor method. The results of the classification process will be continued through the LCD in the form of ph data and moisture results from the detected soil quality. In the process of testing the system using the K-Nearest Neighbor method with K = 3 has the highest verification that is equal to 86.6% compared to K initiating 5, 7 or 9.
Pengembangan Sistem Monitoring Kanal Air sebagai Sarana Penanggulangan Banjir Othman Mirizi Batubara; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Floods is one of the most common natural disasters in the Asian region. Based on statistical data of the National Disaster Management Agency (BNPB) on 2009-2018, it was noted that the number of dead and missing victims over 11 thousand people. A monitoring system is needed that can quickly and accurately provide information and warnings to the public. Therefore, the researchers conducted a study entitled the development of a water canal monitoring system as a flood mitigation. To realize a monitoring system, a protocol for network communication is required. Hypertext Transfer Protocol (HTTP) is a protocol that allows communication between the ESP8266 which uses a client and server architecture with centralized control. HTTP POST request-response method can be used for the communication method between WiFi client nodes and WiFi server nodes. The system stores sensor data in a Firebase database connected to the android application. The android application can provide notification alerts to the user if the system detects a danger. Based on the test results, it was concluded that NodeMCU ESP8266 can communicate with each other using the HTTP POST method. From the sensor test, the average error result is 17.86%. In testing the delay of sending data between nodes at a distance of 5m, 30m, 50m, 80m and 100m, it has an average delay of 242.17ms, 964.4ms, 979.3ms, 988.9ms and 997.0ms. In testing the android application the system can display the results of system monitoring and the user gets a warning notification when the system detects a potential hazard.
Implementasi Low Power State Machine pada Sistem Notifikasi Kecelakaan Sepeda Motor Lutfi Anang Makruf; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this modern era a motorcycle is very common means of transportation to use. With the increasing population of motorcycle users, accidents caused by motorbikes cannot be avoided. In general, accidents cannot be predicted when and where accidents occur. By using an accident notification system on a motorcycle, it will be easier to find out the location of the accident. So that the device does not consume excessive power on a motorcycle battery, it must have a low power mechanism to be able to save power. Low power and state machine mechanisms can be implemented in a prototype system that serves to inform that an accident has occurred by sending a short message containing the location of the accident. In testing the accuracy and functional levels of several components obtained results that are as expected. The MPU6050 sensor has an accuracy of 84.43%, the NEO6M module has an accuracy of 99.99% and the functional module SIM800L can send short messages properly. In testing the low power mechanism can reduce the power consumed by 22.2 mA or 18.8%. The device consumes power of 117.7 mA without using a low power mechanism and consumes power of 95.5 using the low power mechanism.
Co-Authors A. Ashar Ashari Abdul Muiz Anggit Budiyantoyo Abdullah Asy Syakur Achmad Basuki Adhly Hasbi Fadhlillah Adji Kuncoro Bhangun Agung Setia Budi Ahmad Mustafa Kamal Amri Yahya Andika Bhayangkara Andre Adikusuma Arya Rizky Imansyah Harahap Axel Elcana Duncan Bagas Gerry Caesario Bagus Sawung Timur Barlian Henryranu Prasetio Billy Gusparentaqi Dahnial Syauqy Dias Alfan Nur Ilham Dimas Dwi Saputra Dinda Adimanggala Dionisius Marcello Divito Duwi Hariyanto Farras Nabil Fatchullah Wahid Afifi Fitra Abdurrachman Bachtiar Fitriyah, Hurriyatul Gembong Edhi Setyawan Hani Firdhausyah Haryanto Sihombing Hawwin Purnama Akbar Hurriyatul Firtiyah Irfan Harlim Ismi Lufina Ivan Kasogi Jeffry Atur Firdaus Khafidzun Fadli Lia Safitri Lucky Pamboro Luqmanul Halim Zain Lutfi Anang Makruf M. Khanif Ashar Mahesha Bayu Paksi Mochamad Afief Hamidi Mochammad Hannats Hanafi Ichsan Mochammad Zava Abbiyansyah Mohammad Riski Aprilianto Muhamad Delta Rudi Priyanto Muhammad Bilal Muhammad Junifadhil Caesariano Muhammad Kholash Fadhilah Muhammad Rheza Caesardi Muhammad Rheza Caesardi Muhammad Rifqi Radifan Masruri Muhammad Taufiq Azra Haromain Nengah Affan Riadi Nikmatus Soleha Okky Nizka Pratama Othman Mirizi Batubara Pandy Aldrige Simanungkalit Priyo Prasetyo Putra Berlian Ageng Mukti Putri Harviana Rahmat Yusuf Afandi Rakhmadhany Primananda Reza Budi Pratikto Rhaka Gemilang Sentosa Riyad Febrian Rizal Maulana Rizky Widya Mahendra Ryan Anggito Priono Sabriansyah Rizqika Akbar Selina Kusmiawati Seprianto Ray Roganda Sianipar Septiyo Budi Perkasa Syaafi’ Nurwahyono Sustami Tan Varian Kashira Tedy Kurniawan Utaminingrum, Fitri Vedric Amos Sinaga Widasari, Edita Rosana Wijaya Kurniawan Yanottama Oktabrian Yoga Sugma Pradana Yosia Nindra Kristiantya Zamaliq Zamaliq