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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Journal of ICT Research and Applications Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Abdi Masyarakat Indonesia
Fitriyah, Hurriyatul
Universitas Brawijaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Public Health

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Implementasi Inverse Kinematics Pada Robot Lengan Untuk Pengambilan Benda Dengan Koordinat Awal Acak Ricky Zefani Aria Zurendra; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The increasing of enthusiasts in e-commerce activities have increased the flow of incoming and outgoing goods in storage areas. The storage activity certainly requires a considerable amount of time and energy so a system is needed to retrieve and place items automatically. This system is equipped with a Raspberry Pi Rev1.3 camera as a room camera that is capable of taking object pictures underneath. The camera integrates with the Raspberry Pi 3 as a processing unit so the types and initial coordinates of objects can be recognized by the system. Both of the object's information will be sent to the OpenCM 9.04 microcontroller as a parameter to place the object into the specified location. Objects displacement was carried out using a 3 DoF robot arm composed by five Dynamixel AX-12A servo motors, three servo motors as determinants of system motion and the remaining two were used to grip objects. The movement of the 3 DoF robot arm is based on the calculation of objects coordinate by using inverse kinematics method to produce angular values for the three servo motors. The testing results of the inverse kinematics method on this system's robot arm movement has an error percentage of 10.10%. As for overall testing, out of 40 tests, this system has a 95% success rate with an average computation time of 8.446 seconds.
Klasifikasi Lokasi Indoor atau Outdoor berdasarkan Pengaruh Cahaya Terhadap Alat Tracking GPS pada Hewan menggunakan Metode K-Nearest Neighbor Samuel Lamhot Ladd Palmer Simarmata; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pets, animals maintained by humans, are exceedingly required to look after and take care by the owners. The development of science and technology has been sustaining to apply these purposes by the existence of the tracking devices which can be inserted to the pets. The classification of indoor and outdoor location based on the effect of the lights is conducted in this research to control the data sending from the location of the pets. K-Nearest Neighbor algorithm is required to support the system in determining the location classification of pets. The implementation of the systems is based on the two prototypes; master and slave. Slave system is to record the value of the lights and the coordinates of the pets. Besides, the master system is to receive the data, process the K-Nearest Neighbor algorithm, and connect to the laptop in order to show the output data. The accuracy obtained from the indoor and outdoor classification in this study was 98%. The test of K-value in this method was applied with the K-value of K=3, K=7 and K=9.
Implementasi Monitoring Kualitas Udara Taman di Kota Malang menggunakan Low Power Mode pada Android berbasis Arduino Uno Ananda Ribelta; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Definition polution defilement related to the environment that is lived by humans. This defilement may caused by many factor examples are from gas emission in public transport and forest fire that is near with citizen lives. Solution is necessary to informed about ISPU anytime to people directly through their android smartphone. Time become important indicator in monitoring system, that monitoring system are activated and deactivated based time who ruled by government. In monitoring there is color which is strong indicator about environment around. Using low power mode to aimed a lower consume of electricity on the system then utilized the work principle of system which are in sleep condition and wake condition. Based test which has been done the coefficient of determination from read value MQ 131 sensor is 99,1% rated output voltage, MQ 136 in the amount of 98,5% rated output voltage and GP2Y1010AU0F sensor output voltage accuracy of 98%. Then for MQ 7 sensor average error of 18,55%. Furthermore there is system performance tests when power down sleep for 10 times and then testing on average to get 7,5% lower consumed energy by the system. Calculation from PPM value in to ISPU value had an accuracy 100%
Sistem Pendeteksi Kondisi Paru-Paru berdasarkan Suhu Tubuh, Warna Kuku, Tingkat Respirasi dan Kadar Oksigen Dalam Darah dengan Metode K-Nearest Neighbor Alfatehan Arsya Baharin; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Untuk dipublikasikan di 3rd International Conference and Workshop on Telecommunication, Computing, Electrical, Electronics and Control (ICW-TELKOMNIKA 2020)
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.
Pengendali Kecepatan Robot Beroda dengan Proporsional Integral Derivative dan Tuning Ziegler-Nichols Bagus Sawung Timur; Eko Setiawan; Hurriyatul Fitriyah
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

Wheeled robot is a technological innovation that facilitates exploration mobilization. The use of wheeled robots in exploring unstable fields is often a quite troublesome obstacle. Based on these problems, in this study, the design of a control system on wheeled robots was carried out that can regulate the speed of the robot both in the incline and the derivative field. The speed monitoring process on the robot uses an optocoupler sensor which is then controlled using Arduino UNO. For the method used as a determinant and speed control regulator, this research uses the PID (Proportional Integral Derivative) method with the Ziggler-Nichols tuning method to the field conditions being faced. In this study, testing is based on several scenarios. In testing the upper limit and lower limit of 225-255 PWM experiments found errors of 60o and 90o. Based on testing to find the PID parameters found results Kp 2.4, Ki 1.92, Kd 0.75. From the results of PID testing on the system obtained an average settling time of 3.6 seconds
Sistem Klasifikasi Telur Ayam Fertil dan Infertil Menggunakan Fitur Tekstur Dan Metode K-Nearest Neighbor Berbasis Raspberry Pandy Aldrige Simanungkalit; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fertile chicken eggs are eggs that fertilized by a male and have potential to hatch while infertile eggs are eggs that not fertilized by a male. In chicken hatching management infertile eggs need to be removed from hatching machine so that they do not rot and explode in hatching machine. The removing process of infertile eggs from hatching machine doing by candling the eggs using a flashlight or lamp placed behind the eggs. In hatching industry with a large capacity doing this process is very tiring for the eyes because it requires high concentration and accuracy so this affects the consistency and accuracy of the observation results, therefor a system that classify fertile and infertile eggs constantly is needed. This study design classification system for fertile and infertile eggs based on Computer Vision with texture feature extracted using Gray Level Co-Occurrence Matrix method and classified using K-Nearest Neighbor method. To support the memory requirements for image processing the system is run on a raspberry pi device. The results of analysis and testing using K-Fold Cross Validation of Gray Level Co-Occurrence Matrix feature extraction show that the best feature combination is dissimilarity-correlation and Classification results using K-Nearest Neighbor show an accuracy rate of 93,33% on the number of neighbor K=7 and 9.
Implementasi Sistem Pendeteksi Obstructive Sleep Apnea berdasarkan Parameter Interval QT dan Interval PR menggunakan Metode Naive Bayes Iqbal Koza; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Obstructive Sleep Apnea is a condition in which breathing stops momentarily during sleep and repeats several times. If this disorder is not treated further, it can cause complications in the form of lack of sleep, fatigue and eye problems. For now, sleep apnea examination can only be checked in a hospital and is expensive. Therefore, in this study a system for detecting obstructive sleep apnea was created which did not require too much money. The tools to be used are the Arduino Uno microcontroller as a place for the system program, the ECG AD8232 sensor to detect electrical activity in the heart which is attached to the chest using 3 electrodes, and a 16x2 LCD to display the final result. This study uses the Naive Bayes classification in classifying the electrical activity of the heart. The features in the classification of the naive Bayes method are the QT Interval and the PR Interval, the results of which will be displayed on the LCD in the form of "Normal" or "Sleep Apnea". There were 24 test data taken and 48 training data used in the Naive Bayes classification test. The results of the accuracy test using Naive Bayes were 87.5%. And the results of computational time testing were carried out 24 times with an average value of 1,044.2083 ms.
Kendali Antena UAV menggunakan Kontrol PID untuk mendapatkan Gain Maksimum Okky Nizka Pratama; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Antenna tracker is a mechanism used to control the direction of the antenna, the system controls the horizontal servo to the right and left, while the vertical servo is up and down. The author made a tracker antenna so that it can follow a UAV that is equipped with PID control to reduce servo movement errors. In general, the system consists of UAVs for sending GPS data, GCS as data receivers, horizontal and vertical servo. PID control testing is carried out to determine the type of controller that is good for the system, disturbance testing to determine the steady state of the system, accuracy testing to determine errors in servo movement, and signal testing to determine the obtained rssi. In the PID control test, it was found that the proportional controller has the best performance with a value of 2 on the horizontal servo and 6.5 on the vertical servo. In the disturbance test, the settling time for the horizontal servo was 0.72 seconds and the vertical servo was 0.8 seconds when the disturbance was given. In the accuracy test, the average horizontal servo accuracy was 89.98% with an average error of 5.33 degrees. Meanwhile, the vertical servo obtained an average accuracy of 96.54% with an average error of 1.34. In the signal strength test, it was found that the rssi when using an antenna is better than without an antenna. At a distance of ± 20 meters, the rsssi is -35 dbm when using an antenna and -58 dbm when not using an antenna.
Sistem Identifikasi Jenis Makanan dan Perhitungan Kalori berdasarkan Warna HSV dan Sensor Loadcell menggunakan Metode K-NN berbasis Raspberry Pi Muhammad Rizqi Zamzami; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Overweight and obesity are still common diseases in this world, which is caused by an unhealthy lifestyle, one of which is consuming excessive food. This excessive food consumption is caused by several factors, namely emotional problems, environmental and social conditions and certain physical conditions. If food consumption is not controlled and is not balanced with a lot of body activity, it will cause calorie accumulation in the body, resulting in obesity and obesity and a risk of disease. One way to overcome this is by controlling yourself in consuming food by measuring the number of calories that will be consumed. From these problems, a system is made to measure food calories by identifying the type of food and measuring the weight of the food. The identification of these foods uses the k-Nearest Neighbor method and the Loadcell sensor to read the weight of the food being measured. The system will capture images and read the weight of the food measured through the camera module and loadcell sensor. The image is then processed on the Raspberry Pi 3 B to extract the color value from the mean HSV. Furthermore, the extraction results are used as a feature to identify the type of food which is used to measure food calories based on the identification and measurement results of the Loadcell sensor. The results of the system will be displayed on the 16 × 2 LCD screen. The system test uses 5 samples for each type of food. From the test results, the accuracy at k = 3 is 96%, at k = 5 is 92% and at k = 7 is 92%.
Co-Authors Abdurrahman Diewa Prakarsa Abimanyu Sri Setyo Achmad Baichuni Zain Aditia Reza Nugraha Aditya Rafly Syahdana Afflatuslloh Adi Salung Agi Putra Kharisma Agif Sasmito Agung Setia Budi Ahmad Fahmi AdamSyah Ahmad Fatchi Machzar Ahmad Haris Wahyudi Ahmad Wildan Farras Mumtaz Alfatehan Arsya Baharin Ali Ilham Ainur Rahman Allif Maulana Ananda Ribelta Andhika Rizky Fariz Andi Dwi Angga Prastya Andy Hartono Aprilo Paskalis Polii Aries Suprayogi Bagus Sawung Timur Barlian Henryranu Prasetio Belsazar Elgiborado Giovani Djoedir Bilawal Haesri Bimo Dimas Nugraraga Boris Wiyan Pradana Chandra Gusti Nanda Putra Cut Fahrani Dhania Dahnial Syauqy David Isura Dede Satriawan Denis Andi Setiawan Dewi Pusparini Dian Bagus Setyo Budi Diego Yanda Setiawan Dimas Bagus Jatmiko Dimas Dwi Saputra Dimas Firmanda Al Riza Dimas Guntoro Dipatya Sakasana Dody Kristian Manalu Dwi Fitriani Edhi Setyaw, Gembong Eko Ardiansyah Eko Setiawan Erdano Sedya Dwiprasajawara Esa Prakasa Fadhilatur Rahmah Faizal Andy Susilo Fajra Rizky Falachudin Akbar Fatchullah Wahid Afifi Faza Gustaf Marrera Fikriza Ilham Prasetyo Gembong Edhi Setiawan Gembong Edhi Setyaw Gembong Edhi Setyawan Gunawan Wahyu Andreanto Habib Muhammad Al-Jabbar Hafizh Hamzah Wicaksono Hamdan Zuhdi Dewanul Arifin Hamzah Attamimi Handi Handi Handy Yusuf Herwin Yurianda Ichwanul Muchlis Imam Pratama Setiady Indera Ulung Mahendra Iqbal Koza Irham Manthiqo Noor Issa Arwani Ivana Agustina Julisya Thana Khriswanti Khairul Anwar Komang Candra Brata Lashot Ria Ingrid Melanika Lintang Cahyaning Ratri Luqmanul Halim Zain M Ilham Fadilah Akbar M Nuzulul Marofi M. Fiqhi Hidayatulah Marrisaeka Mawarni Mimi Hamidah Moch Zamroni Mochammad Hannats Hanafi Mochammad Hannats Hanafi Ichsan Mohamad Abyan Naufal Fachly Mohamad Misfaul May Dana Mohammad Isya Alfian Mohammad Lutfi Zulfikri Muh. Syifau Mubarok Muhamad Delta Rudi Priyanto Muhamad Ichwan Sudibyo Muhammad Ammar Hassan Muhammad Daffa Bintang Nugroho Muhammad Fatham Mubina Akbar Muhammad Irfan Reza Muhammad Junifadhil Caesariano Muhammad Raihan Al Hakim Muhammad Rifqi Radifan Masruri Muhammad Riyyan Royhan Muhammad Rizki Chairurrafi Muhammad Rizky Rais Muhammad Rizqi Zamzami Muhlis Agung Saputro Musada Teguh Andi Afandi Nafisa Nafisa Nashir Umam Hasbi Nico Dian Nugraha Nur Aini Afifah Isbindra Nur Syifa Syafaat Okky Nizka Pratama Oktaviany Setyowati Olivia Rumiris Sitanggang Pandy Aldrige Simanungkalit Pramandha Saputra Putra Wijaya Putri Harviana Raden Galih Paramananda Rakhmadhany Primananda Rando Rando Refsi Ilham Cahya Rejeki Puspa Dinasty Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Retno Damayanti Rian Ari Hardianyah Ricky Zefani Aria Zurendra Rifqi Alvaro Rifqi Imam Ramadhan Rizal Maulana Rizka Ayudya Pratiwi Rizqy Maulana Rosa Mulyanis Chan Sabriansyah Rizqika Akbar Salsabiil Hasanah Samuel Lamhot Ladd Palmer Simarmata Satyaki Kusumayudha Septian Mukti Pratama Shafa Sabilla Zuain Sulthan Ghiffari Awdihansyah Syarief Taufik Hidayatullah Tatit Kisyaprakasa Thomas Oddy Chrisdwianto Tibyani Tibyani Tri Oktavia Mayasari Tunggal Manda Ary Triyono Utaminingrum, Fitri Wahyu Hari Suwito Widasari, Edita Rosana Wijaya Kurniawan Wildo Satrio Wisnumurti Wisnumurti Xavierro Lawrenza Yusuf Hendrawan Zultoni Febriansyah