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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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Sistem Monitoring Denyut Jantung Menggunakan NodeMCU dan MQTT Falachudin Akbar; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Heart rate is one of the basics to know basic health. Symptoms from the heart rate is tachycardia and bradycardia, that conditions are not nomal. The incidence of abnormal symptoms in the heart rate may indicate a disease. Therefore, this research is designing tools for heart rate monitoring. This heart rate monitoring system measures the heart rate by reading the pulse sensor value, after that nodemcu will process reading heart rate value to get BPM (Beat per Minute). After getting the value of BPM, System check if more than 100 will send SMS danger tachycardia, if less than 60 will send SMS danger bradikardia. System will send BPM data to the thingspeak channel using MQTT. The system will always be ready to receive SMS request heart rate which will reply SMS with BPM value. The results of the system functionality test can be successfully performed and the results of the heart rate reading test resulted in a percentage error of 2.6%. In testing heart rate data transmission to the Thingspeak channel, sending SMS warnings, and replying to sms with the latest heart rate can be successfully done.
Sistem Pendeteksi Penyakit Daun Bawang Merah Probolinggo Menggunakan Metode Template Matching Berbasis Raspberry Pi Moch Zamroni; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

By the progress of technology currently is also increasing demand for microcomputer systems that can provide benefits for human life. This system has an important role to help humans, so it is useful for the layman in the field of shallot leaf agriculture. This Embedded system has a camera image capture input of a leek object that will be compared to templates already available in microcomputers, then the value is selected will be processed to the Template Matching method with the specified threshold limit, and will output one of the LED lights which is already available. Therefore, a system is designed to detect the disease of shallot to determine the leaf disease on the shallot. The results of this test show the Logitech C270 camera can take pictures. Based on the results of testing the accuracy of Template Matching method that the amount of 30 data there are 6 results from systems that does not match the actual class. So the accuracy is obtained by 80%. Performance of the system response time has a time value of 15.977 seconds from 30 tests. In this research, a system to detect the disease of shallot using template matching, where the applied method is able to run by what is desired proven by the system can classify the type of leaf disease into purple patch leaf disease, moisture and Moler.
Sistem Deteksi dan Pengenalan Jenis Rambu Lalu Lintas Menggunakan Metode Shape Detection Pada Raspberry Pi Olivia Rumiris Sitanggang; Hurriyatul Fitriyah; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The traffic sign recognition is the digital image processing technology that used to recognize the sign in real-time. This technology applied in the Driver Assistance System. The road sign recognition consist of 2 main phase, they are road detection and recognition. Detection is the phase to find the possibility of picture area where the sign is located. The output from the detection process is the result picture segmentation that contain region of interest that can recognize the potential area of where the road sign being located. Those potential area will be affected the input of recognition process. So built a system of detection and recognition of the type of signs. This system is implemented on raspberry pi and real-time when processing the image of road sign from webcacm. The detection of algorithm consist into three main part, they are color segmentation, shape detection, and road classification. The method that being applied in this research is shape recognition method. This method is supported by the amount of point from the object as a representation of the amount of side from every shape and the comparison of object area with the bounding rectangle. And the output of this system is a kind of the sign notification for drivers. It is expected with this method the detection process to find the accurate regional sign recognition. The level of success in detecting kind of command signs, prohibition, and warning sign are 80.7%, the result of color examination from the three signs reach the number of 85.45%, and the result of presentation in recognizing the shape of sign is 80.7%. the duration of detecting of traffic signals is 0.5 seconds (for each frame) or 2 frames per second with detection distance 2-5 meters.
Sistem Deteksi Dan Perhitungan Otomatis Bakteri Salmonella dengan Pengolahan Citra Menggunakan Metode Object Counting Lashot Ria Ingrid Melanika; Hurriyatul Fitriyah; Gembong Edhi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Salmonella is one of the pathogenic bacteria that can cause disease in human digestive tract. The microscopic size makes the Salmonella bacteria invisible without the aid of a microscope. Detection and calculation of bacterial colonies during microscopic observations are still done manually until now. Therefore designed a system that can detect and perform calculations on Salmonella bacteria colonies automatically using the method of color segmentation and object counting. Samples of Salmonella bacteria isolated from chicken meat were made on glass preparations and gram staining was done to make it easier to observe. Bacteria shooting is using the camera on a digital microscope with a resolution of 5 mega pixels. The first process in image processing is image enhancement, then converting RGB image to HSV image. After that performed closing morphological operation, then bacterial colonies were calculated by object counting method. The processing of image processing algorithms is performed on MATLAB, and the system will be displayed on an interface to make it easier for user. The accuracy of input and image information to obtain results with successful status. The average time required during the execution of the system is 4.59 seconds, and the accuracy of detection and calculation of the number of bacterial colonies has an accuracy by 80.81%.
Sistem Pengenalan Peralatan Elektronik Dapur yang Terhubung pada Stop Kontak Menggunakan Metode K-Nearest Neighbor (K-NN) Rizka Ayudya Pratiwi; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The use of electronic devices that are used excessively and uncontrolled by the tenants in a boarding house will certainly have a negative impact on the owner side in terms of economy. Many of the board owners who provide rules to not use some additional electronic equipment such as electronic kitchen equipment and when used it will incur additional costs. But the regulation is also much violated by the tenant without the knowledge of the owner of the boarding. In this study designed a system to find out what kind of electronic kitchen equipment plugged into electric socket to facilitate the monitoring of electrical appliances. The system designed using the K-Nearest Neighbor (K-NN) method as its classification method, NodeMCU as the system's main controller and YHDC SCT-013-100 sensor as the current reader sensor. The system will classify the kitchen utensils of rice cooker, blender, juicer, heater and mixer based on the total current parameters out of the socket. The five equipments are classified on 3-hole so resulting in 10 classes in their classification. Furthermore, the current data obtained will be sent to NodeMCU to perform the classification process using K-Nearest Neighbor (K-NN) method. Results from the classification are then sent on Android smartphone. Based on the test results obtained percentage of 90.00% with a value of k = 1. The system can classify kitchen devices that are in use and require an average time of 10072.2 ms to perform data acquisition and require an average time of 12.4 ms for classification.
Rancang Bangun Pengendali Pintu Gerbang Tol Dengan RFID Menggunakan Logika Fuzzy Muhammad Raihan Al Hakim; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Congestion that occurs at the toll gate is due to the increased volume of vehicles that cannot be accommodated by the road capacity and the payment system that is running is unable to overcome the congestion. Based on this, a system developed that helps efforts to minimize congestion at toll gates using the Fuzzy method. As an observer of the density condition, Ultrasonic sensor is used, as a payment instrument as well as the vehicle size reader used RFID RC522, the system output is used by the servo as the toll gate and then processed in the Arduino Mega 2560 microcontroller. the min implication process and Fuzzy system inference are max, from the inference stage followed by the defuzzification process and obtained a strict value for servo in determining the duration of the opening of the toll gate. In testing, the Ultrasonic sensor has the same measurement in measuring distance using a ruler. RFID as a system interface produces fast reading accuracy and has a maximum reading distance of 1 cm. The system output has a difference in the difference in servo position degree measurement with manual measurement of 2.4 degrees and an error of 3.766%. After the system is implemented, the results of the system calculation are then compared with the sample data obtained from several experiments, overall the calculation of Fuzzy logic on the opening time of the toll gate has an error percentage of 4.189%.
Implementasi Kontrol Lampu dan Kipas Secara Implisit Menggunakan Suara Dengan Metode Text Processing Berbasis Embedded System Wildo Satrio; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Voice technology can be used as a control over various types of electronic equipment, including lights and fans. In its application the sentence used for control of the equipment is limited and must know what sentence can be used to use the system. Based on this problem, control fan and lights with implicitly command using voice. Arduino as a control system for lights and fans by using Android for sound processing with text processing methods. Voice data entered via Android is converted to text. Each sentence-shaped text is separated into unit words. Then each word is matched with a database that has been created previously using the stopword removal wordlist algorithm. The matching results are sent to Arduino and the data is processed to produce output in the form of light and fan control. From the test results, this system has a 100% success value in functional testing and testing of user voice input processing. In testing the success of the system to process the user's implicit sentence into the desired output, it has an accuracy of 96.67%. Furthermore, to test the performance of the application to process sentences, the system has an average time of 1 second increase according to the many words entered, while the sentence processing process increases by 200 nano seconds along with the number of input words.
Rancang Bangun Sistem Pengenalan Rambu Petunjuk Arah Berbasis Raspberry Pi Menggunakan Metode OCR (Optical Character Recognition) Rando Rando; Hurriyatul Fitriyah; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The road sign is one of the means that provides guidance or information to the driver or other road users, about the direction to be taken or the location of the city to go complete with the name and direction of where it is located. Road sign are required so the rider focuses on the road when driving. So that made the system of introduction of raspberry pi-based direction guidance by using OCR (Optical Character Recognition) method, made image processing road sign directions so that riders focus on the road then the information in the form of sound Then the system will separate colors other than green because of the color of the signage signs colored directions green, then the system will look for a box-shaped image, then processing the character of letters and arrows direction, then change the letters that have been detected in the previous process and then recognized to sound. From the test obtained the highest value of 100% and the lowest 0.13% of the characters detected on the signs of direction. The minimum time to execute the image to sound is 4.7 seconds, maximum of 8.02 seconds and 6.402 seconds on average. Based on the results of the research can be concluded that Optical Character Recognition proved able to recognize the detected image on the train data.
Sistem Penghitung Jumlah Orang Otomatis Pada Pintu Masuk Berbasis Sensor Ultrasonik dan Mikrokontroler Arduino Uno dengan Metode Bayes Eko Ardiansyah; Hurriyatul Fitriyah; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Count the number of visitors in shopping centers can provide a management information to optimize place , and evaluate attractiveness on some areas shopping .Area manager able to analyze monitor the state of the crowd. From what it is all about built with the sweat of , he or she needs a automatic system used to calculate the total number of people through the trap door .In this research , parameter that used of these tests are the detection of an object which prevailed over you and. This instrument will be means of sensors ultrasonic hc-sr-04 processed use classifications bayes & apos; to count the number of people get past the sensors ultrasonic on the door.On the system that they used mikrokontrolet ardino uno used to menggontrol system and output will be displayed in lcd 16x2. A method of bayes ' was selected as one technique for a decision making classifications counters the number of people through the door at the same time , this method is one of the classification methods that is simple enough and understandable .So that the kind of accuracy that obtained this system by using the method non-competitive purchase will be 80 %. The result of testing time performed as many as 10 times, the obtained from pengamilan rata-rata system decision by 679,2 ms. Bayes In this case using the size of the door wide 200 cm in size and 190 cm high.
Implementasi Low Power System untuk Pengambilan dan Pengiriman Data Berdasarkan Kehadiran Manusia Dewi Pusparini; Mochammad Hannats Hanafi Ichsan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this modern era, technological progress is growing rapidly for human needs, therefore it is very necessary to measure electrical energy. Therefore, a device is used to maintain environmental safety and to save the power. Low power implementation system for retrieving and sending data based on manusa configuration is a system that can be used for certain environments or only as a detection of human presence with low power usage, because the system will only activate human sensors. This system uses a pir sensor to detect human presence, and uses the VC0706 camera for the image capture process, then the image is stored on the sd card connected to the Ethernet module. By using the Arduino Uno microcontroller as a data processor produced both from the pir sensor and the camera. After this system retrieves image data, the data that is passed will be sent to people who want to know the condition of a particular place by accessing the IP address set in the Ethernet module to open the web browser page. The system is created by using the sleep mode low power method, where the compilation sensor does not detect anything, the data will automatically be finalized, using the sleep mode, the power saved is 0.010 amperes to 0.025 amperes.
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