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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer 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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Estimasi Volume dan Berat Buah Belimbing menggunakan Metode Cakram dan Regresi Linear berbasis Kamera pada Raspberry Pi Muhammad Rifqi Radifan Masruri; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Evaluating starfruit by looking at its size can be done using a conventional method. This method requires a lot of human resources and time. To speed up the process, digital image processing technology is used. Starfruit is a fruit that is very popular in Indonesia. Sweet and sour taste in starfruit is very suitable to be made into salad. Starfruit becomes a challenge because it has five sections and does not resemble a solid. There is a modified method for adjusting starfruit characteristics. This study uses volume and weight parameters in evaluating. Digital images are taken using a camera connected to the Raspberry Pi. The image obtained is processed for segmentation. Information from the results of segmentation will be used in a modified cylindrical method to produce a volume. Volume will be used in the linear regression method to produce weight. The accuracy of the volume method obtained was 86.64% and the accuracy of the weight method was 86.43% with an average execution time of 3.45 seconds. This solution can be an example of the image processing technology development.
Sistem Penghitung Jeruk Matang pada Kebun berdasarkan Hue, Saturation dan Chrominance-Red menggunakan Algoritme Watershed berbasis Raspberry Pi Salsabiil Hasanah; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Oranges contain vitamin C and a lot of mineral content. The public will definitely choose an orange fruit whose skin color is orange or the condition is ripe. Therefore, farmers must harvest citrus fruit when the conditions are ripe or when the color of the skin turns orange. In the area of ​​agriculture today there are those who implement modern agriculture. The use of technology applied to agriculture is the use of robots. Currently in Indonesia there is no robot that automatically harvests mature oranges in the garden by detecting which ones are already ripe in the garden and then picking them. The harvest process also requires a counter function of ripe oranges in the garden which can be detected to find out the number of ripe oranges found in the garden. From the problems above, the research conducted by this writer will focus on the detection of mature oranges in the garden and the calculation of mature oranges detected using digital image processing. This system will take pictures of oranges found in the garden. The process of detecting ripe oranges uses the Hue, Saturation and Chrominance-Red color space, whereas for the calculation of ripe oranges detected using a watershed algorithm. In testing the system in the process of calculating ripe oranges using watershed algorithm obtained an accuracy rate of 82.14% with an average computing time of 2652 ms for one calculation process.
Implementasi Sistem Pendeteksi Premature Ventricular Contraction (PVC) Aritmia Menggunakan Metode K-NN Sulthan Ghiffari Awdihansyah; 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 condition when the heart beats early is called the Premature Ventricular Contraction (PVC) Arrhythmia. Arrhythmia PVC conditions occur in the left ventricle of the heart. Almost every human will experience PVC arrhythmia during his lifetime. Arrhythmia PVC conditions that occur in a long time span can increase the risk of heart disease that leads to death. Examination of arrhythmia PVC conditions cannot be done independently and is quite expensive. AD8232 ECG Sensor Module, LCD 16x2, and Arduino Mega Microcontroller are used to detect PVC arrhythmia conditions. The K-NN classification method is used to classify 1 heartbeat cycle signal. The results of the K-NN classification are in 2 classes, namely the "Normal" class and the "PVC" class. The QRS Complex and Gradient R values of 1 heartbeat cycle signal will be used as parameters. heart conditions "Normal", "Bigeminy", "Trigeminy" are the output produced by the system. A total of 46 data were used as training data and as many as 23 data were used as test data in the classification of the K-NN method. The average value of program computation time is obtained by performing 10 times of program computation time testing. An accuracy value of 91.3% was generated from the results of the K-NN method classification accuracy testing. Testing the computational time of the program produces an average value of computing time of 1988.9ms.
Sistem Penghitung Stroberi Matang di Kebun berdasarkan Hue dan Saturation menggunakan Algoritme Watershed berbasis Raspberry Pi Putri Harviana; Hurriyatul Fitriyah; Eko Setiawan
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

Strawberries are fruits that contain many benefits, so strawberries are widely cultivated in Indonesia. In the cultivation, farmers pay attention to the productivity of strawberries in terms of excess quality. Farmers are still counting strawberries conventionally or manually so they ask for a long calculation time. In addition, farmers have never received their harvest now. Therefore, farmers need tools that can help and provide in agriculture known as modern agriculture or modern agriculture. Existing modern agriculture in Indonesia such as rice planting and automatic harvesting equipment, soybean dryers, pesticide sprayers, superior seed sorting machines, and so on. To make a tool that suits the needs of strawberry fruit farmers, researchers developed a mature strawberry counter system in the garden based on hue and saturation values. The hue and saturation values ​​are used because both of these values ​​can overcome the change in light intensity and can be used to detect obsolete strawberries based on the skin color of the fruit. The system uses a watershed algorithm to separate the attached or attached strawberries so that they are counted as different objects. This system is based on Raspberry Pi because it can process images quickly. With this tool it is expected to be used to predict crop yields. The harvest prediction can be used to help the work of farmers in their crops, so farmers can improve the quality of the crop every year. It is hoped that further system development can facilitate farmers to pick strawberries released in the gardens carried out by robots. On the test results obtained by the system, obtained an accuracy rate of 82% with an average calculation time of 7558.1 milliseconds.
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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Abstract

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
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 Benny Adiwijaya 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 Eko Setiawan Erdano Sedya Dwiprasajawara Esa Prakasa Fadhilatur Rahmah Fahmi Erza 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