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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Rizal Maulana
Teknik Komputer, Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Alat Pengukur Berat Badan dan Tinggi Badan Terkomputerisasi berbasis Wireless, Arduino, Sensor Load Cell, dan Ultrasonic Muhamad Ichwan Sudibyo; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The measurenment of body weight and height are very common ineveryday life, but there are still many people who do the measurenment manually and separately. When measuring body weight, most people will use digital scales, and for measuring height using a meter. To overcome this problem, the researcher made a system that can measure body weight and height while storing data on body weight and height into the database so that can be seen at anytime. In this system the researcher will use load cell to measurenment of body weight and ultrasonic HC-SR04 censor to measurenment body height. In this study, the data transmission will use a wireless and can store data into the database. From the test result obtained, the data from the reading of weight censor load cell has average data 2.73 kilograms with difference in data of digital scales 0,01 - 0,30 kilograms, and for ultrasonic censor HC-SR04 has average data 0.7 centimeter with difference of meters 0.1 - 0.5 centimeters. Data transmission using the wireless sensor can transmit data to a maximum range of 15 meters. And the data you get can be saved into the database.
Sistem Pengenalan Pergerakan Lengan Menggunakan Exponential Moving Average Dengan Metode Decision Tree Berbasis EMG Aufa Nizar Faiz; Rizal Maulana; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Humans can carry out their work in a healthy condition, so health is the most important thing in life. But many people are unable to do their jobs due to physical limitations, commonly called persons with disabilities. Biomedical engineering is medical science that uses medical science and design engineers to solve health problems. Electromyograhy (EMG), one of the biomedical sciences that can detect signals generated by contractions in muscles, using EMG can make the system of detecting signals of muscle contractions, especially in the arm muscles. This system will help detect arm muscle contractions for people with disabilities in the arms. Detection is performed on changes in the degree of the arm, the degrees detected are 0, 30, 60, 90, 120, 150, and 180 degrees. Signals received by EMG have noise that can interfere with detection, so signal refining is required in the form of an exponential moving average (EMA) method. Exponential moving average has a weighting value to make a reward, the value used is 0.1 and 0.3. After refining the signal, the detection of degree changes is performed using the decision tree classification method. Then the results of the classification will be displayed on the LED and LCD.
Sistem Deteksi Titik Kebakaran dengan Algoritme K-Nearest Neighbor (KNN) menggunakan Sensor Suhu dan Sensor Api Addin Miftachul Firdaus; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fires often occur in the area of housing, Office space or in the Woods. The emergence of the fires themselves often leave casualties is not a little. Fire occurrence process itself can develop quickly or slowly depending on various factors such as the typically temperature, wind direction or weather based on material to burn. The issue was made of various fire alarm systems that are usually placed on building large and function gives a warning if the fire is large enough or usually the alarm will also be activated manually but the system does not tell you the location of the occurrence of fires. Based on the problems researchers make fire with point detection system sensor LM35 and flame sensor using algorithms K-Nearest Neighbor and a microcontroller, Arduino Mega as data processing. The workings of this system with sensor LM35 temperature detected on duty around the room and the sensor detects flame flame candles. If there is a fire then the system will process the calculation by the method of classification results obtained so KNN are used as the end result of this system. After the research is done, the results obtained from testing system has the accuracy of 80.55% and for process calculation of classification are obtained for 1428.83 ms.
Implementasi Algoritme Speck pada Sistem Monitoring Detak Jantung dan Suhu Mohamad Muhlason Nur Aziz; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In every hospital, it is still relatively weak to safeguard the patient's personal data. Therefore, patient data in every hospital whose privacy data will be secured with the use of the speck algorithm. Securing patient data by applying a 32-bit and 64-bit speck algorithm, after that the encrypted Arduino A data is sent to Arduino B and then decrypted. In the patient data there are two measurements namely the heart rate data using the pulse sensor and body temperature data using the DHT11 sensor. The accuracy of the pulse sensor was 1.628% and the DHT11 sensor obtained 2.6%. Through the acquisition of these two sensors can formulate that the two sensors are very good. Testing the NRF24L01 module has a maximum distance of 35 meters if it exceeds that distance communication between NRF24L01 will be broken. Testing the results of the speck algorithm is implemented effectively into the Arduino Uno microcontroller. In general, the period of computing the system when the process of taking sensor data includes the decryption process in the form of 132.2 ms in 10 times the test.
Sistem Pengusir Hama Burung pada Sawah dengan Menggunakan Sensor PIR dan Metode Naive Bayes Irham Manthiqo Noor; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are various methods in dealing with rice pest attacks. Generally, the method used is less efficient and effective. Research carried out initiated the use of technology, specifically by utilizing the Passive InfraRed Sensor (sensor-PIR) on Arduino-UNO in the eviction of bird pests in the fields. The method using the sensor is able to detect infrared light in the form of heatwaves released by birds. The detection results are then sent to the Arduino UNO next to the servo motor. Utilizing the Naive Bayes method to look for opportunities for success, this study revealed an accuracy percentage of 89.45%. The data computing when the system stops at 1262.5898 milliseconds.
Sistem Pendeteksi Kesegaran Ikan Bandeng Berdasarkan Bau Dan Warna Daging Berbasis Sensor MQ135 Dan TCS3200 Dengan Metode Naive Bayes Govinda Dwi Kurnia Sandi; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The freshness of milkfish is influenced by several factors, one of which is the time of storage of fish. In the process of storage and processing at traders and households, it is still done manually and causes errors in determining the freshness of milkfish. To overcome these problems, a tool that can determine the freshness of milk fish will be designed quickly and automatically. In making this tool an arduino microcontroller and MQ135 gas sensor will be used to detect ammonia, and TCS3200 sensor to detect the RGB color of milkfish. The results of the two sensors in the form of 4 parameters or features will be used to determine the freshness of milkfish with the Naive Bayes method ... The Naive Bayes method was chosen because this method is very flexible if there are changes to the training data, and requires little training data to can do Naive Bayes calculations, and finally the results of the classification method are also quite accurate. From the testing carried out starting from the sensor testing method and computational time the result is the TCS3200 error percentage when detecting RGB meat is 2.2%. In testing the sensor MQ135 sensor correlation value obtained with an output voltage of 99.22%. For testing methods using 100 training data and 18 test data, classification using Naive Bayes obtained an accuracy of 94.4% with an average computing time of 2.7 seconds.
Sistem Tertanam Pendeteksi Kondisi Ideal Fermentasi Susu Kefir berdasarkan Kadar Alkohol dan pH menggunakan Metode Naive Bayes Izza Febria Nurhayati; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kefir is a fermented milk product that contains probiotics which is very useful for body health. Kefir is fermented milk that contains alcohol and has a low pH than milk. At this time in the process of kefir milk fermentation is done manually so as to allow failure and a decrease in the quality of kefir milk. From these problems, a study was conducted called the Embedded Detection System for Ideal Fermentation of Kefir Milk based on Alcohol Levels and pH using the Naive Bayes Method, so kefir milk producers can improve the quality of kefir milk and reduce the potential for failure during the kefir manufacturing process. In this study the parameters used in determining the condition of kefir milk are pH and alcohol content. PH and alcohol parameters play a role in determining how long the fermentation takes place so that the condition of the kefir milk is finally known. The pH was detected using a SKU SEN pH sensor and the alcohol content in kefir milk was detected using an MQ-3 sensor and processed by the Arduino Uno microcontroller using the Naive Bayes method. The use of the Naive Bayes method was chosen for the classification of kefir milk conditions, because this method is one classification method that is quite effective and fast in its calculations. From the results of several tests conducted it is known that the error percentage of the SKU-SEN pH color sensor reading is 10.087% and the error percentage value of the MQ-3 gas sensor is 12.65%. In testing the accuracy of Naive Bayes classification obtained 70% with 10 test data from 60 training data with a system computing time of 3,0781 seconds..
Ekstraksi Topik Dokumen Berita Menggunakan Term-Cluster Weighting dan Clustering Large Application (CLARA) Rizal Maulana; Sigit Adinugroho; Sutrisno Sutrisno
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

The growth of technology makes it easy to get informations and a kind of informations is often used is news media. As technology growth, news can be spread through news portals in form of web-bases such as Kompas, Detik, Tempo, and many others. Users of information technology sometimes don't have time to read news all the time and sometime can't get the news that they need. One of many solution to solve the problem is to do clustering news documents and after that topic extraction is used to get get important topics from the news cluster. In this research using Clustering Large Application (CLARA) for the clustering algorithm because CLARA is an optimization of k-medoid which is better than k-means from various aspects and on topic extraction uses term-cluster weighting to calculate term weights in the cluster. The proses of this research is used text preprocessing documents so it become structured data, after that Singular Value Decomposition (SVD) used to decomose features. Then CLARA is used to clustering documents and for topic extraction is using term frequency-inverse cluster frequency (TF-ICF). Data in this research is secondary data that obtained from Kaggle website which is an English language news documents. The result of silhoette sore from using 226 documents and 2 clusters is 0,005. As for accuracy topic extraction is 1 with taken number topic from 1 to 10.
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 Metode K-Nearest Neighbors Pada Sistem Pendeteksi Sleep Apnea Dony Satrio Wibowo; Rizal Maulana; Fitri Utaminingrum
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

Sleep apnea is a medical problem that has a sustained impact and has a high mortality rate, which is a burden on public health services. There are two main types of sleep apnea, that is central sleep apnea and obstructive sleep apnea. In this study I developed a system related to obstructive apnea because it is the most common form of apnea. To help medical staff or someone who has indicated sleep apnea to monitoring this disease, we need a system that can be used as an early detection is. This system uses the K-Nearest Neighbor method as the signal type determination algorithm. The acquisition of ECG signals by AD8232 sensor will acquire R-peak and R-interval data that used as parameters for determining sleep apnea. This system uses Arduino Uno as a microcontroller, AD8232 as an input and Buzzer as an output. The AD8232 sensor has an accuracy rate of 94.56%, the accuracy rate of the K-Nearest Neighbor method which is carried out as many as 15 experiments is 86.6%. And generated a time of 1281.1 ms for the average processing time of the system.
Co-Authors Abdullah Asy Syakur Abdurrahman Arif Kasim Addin Miftachul Firdaus Adhly Hasbi Fadhlillah Adinugroho, Sigit Adit Ilham Nugroho Aditya Rafly Syahdana Agung Setia Budi Ahmad Fahmi AdamSyah Ahmad Rizqi Pratama Alfatehan Arsya Baharin Alfatehan Arsya Baharin Alfaviega Septian Pravangasta Ali Ilham Ainur Rahman Allif Maulana Althaf Banafsaj Yudhistira Amelio Eric Fransisco Amri Yahya Ananda Ribelta Anata Tumonglo Andre Ananda Pratama Anggi Fajar Andana Aras Nizamul Aryo Anwar Ariq Monetra Aufa Nizar Faiz Axel Elcana Duncan Bagas Nur Rahman Bambang Gunawan Tanjung Barlian Henryanu Prasetio Barlian Henryranu Prasetio Boris Wiyan Pradana Bramantyo Ardi Cahyanita Qolby Rahmarta Rizaputri Chandra Gusti Nanda Putra Chikam Muhammad Dadang Kurniawan Dahnial Syauqy Dian Bagus Setyo Budi Didik Wahyu Saputra Dien Nurul Fahmi Dipatya Sakasana Dony Satrio Wibowo Dwi Firmansyah Dwi Fitriani Dwiki Nuridhuha Eko Setiawan Ezra Maherian Fachrur Febriansyah Manangkalangi Fajar Miftakhul Ula Falachudin Akbar Farah Amira Mumtaz Farid Aziz Shafari Fauzan Rivaldi Fauzi Awal Ramadhan Fikri Fauzan Fikriza Ilham Prasetyo Fitrahadi Surya Dharma Fitriyah, Hurriyatul Galang Eiga Prambudi Gembong Edhi Setiawan Gembong Edhi Setyawan Govinda Dwi Kurnia Sandi Gusti Arief Gilang Habib Muhammad Al-Jabbar Habib Zainal Sarif Hafid Ilmanu Romadhoni Hafiz Nul Hakim Hafizhuddin Zul Fahmi Hamdan Zuhdi Dewanul Arifin Handoko Ramadhan Hani Firdhausyah Hanif Yudha Prayoga Hanifa Nur Halimah Hendriawan Dwi Saputro Hurriyatul Fitriyah Ichwanul Muchlis Ihsanurrahim Ihsanurrahim Imam Syafi'i Al Ghozaly Iqbal Koza Irham Manthiqo Noor Issa Arwani Istiqlal Farozi Izza Febria Nurhayati Jodie Putra Kahir Kezia Amelia Putri Kiki M. Rizki Lamidi Lamidi Leina Alimi Zain Lia Safitri M. Ali Fauzi M. Sandy Anshori M. Sifa'un Ni'am Mahesha Bayu Paksi Mario Kitsda M Rumlawang Marrisaeka Mawarni Mhd. Idham Khalif Misran Misran Moch Zamroni Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mohamad Abyan Naufal Fachly Mohamad Muhlason Nur Aziz Mohammad Ali Muhsin Muhajir Ikhsanushabri Muhamad Ichwan Sudibyo Muhamad Irfanul Hadi Muhamad Taufiq Firmansyah Muhammad Bilal Muhammad Eko Lutfianto Muhammad Fatikh Hidayat Muhammad Jibriel Bachtiar Muhammad Kholis Fikri Muhammad Prabu Mutawakkil Muhammad Raihan Al Hakim Muhammad Rheza Caesardi Muhammad Yaqub Muhammad Yusuf Hidayat Nadi Rahmat Endrawan Nobel Edgar Nugraha Pangestu Octavian Metta Wisnu Wardhana Octavian Metta Wisnu Wardhana Oktaviany Setyowati Pabela Purwa Wiyoga Pinandhita Yudhaprakosa Priyo Prasetyo Putri Laras Rinjani Rachmat Eko Prasetyo Rahadian Sayogo Rahmat Yusuf Afandi Rakhmadhany Primananda Randy Cahya Wihandika Refsi Ilham Cahya Renita Leluxy Sofiana Ricky Zefani Aria Zurendra Ridzhal Hachim Wahyunanto Rifqi Alvaro Rifqi Anshari Riko Andianto Rimas Oktama Rint Zata Amani Rioadam Sayyid Abidin Riski Kurniawan Rizki Septiansyah Rizky Widya Mahendra Romario Siregar Rosyana Lencie Mampioper Sabitha Wildani Hadi Sabriansyah Rizqika Akbar Salsabiil Hasanah Satyaki Kusumayudha Shafa Sabilla Zuain Sulthan Ghiffari Awdihansyah Sutrisno Sutrisno Syahriel Diovanni Yolanda Tatit Kisyaprakasa Tedy Kurniawan Tezza Rangga Putra Tibyani Tibyani Tio Haryanto Adi Putra Tri Putra Anggara Upik Jamil Shobrina Utaminingrum, Fitri Vatikan Aulia Makkah Widasari, Edita Rosana Wijaya Kurniawan Willy Andika Putra Yanuar Enfika Rafani Yohana Angelina Sitorus Yohana Kristinawati Yurliansyah Hirma Fajar