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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
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Articles 50 Documents
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Search results for , issue "Vol 5 No 2 (2021): Februari 2021" : 50 Documents clear
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.
Deteksi dan Pengenalan Plat Nama Ruangan menggunakan Faster-RCNN dan Pytesseract pada Purwarupa Kursi Roda Pintar Muhammad Sulthon Yazid Basthomi; Fitri Utaminingrum
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

The Covid-19 pandemic, which hinders various human activities, makes people keep themselves withdrawn from others. The massive social distancing also applies in hospitals, including between patients and nurses in the use of wheelchairs. The issued autonomous wheelchairs must do another task, that is detecting room plates and recognizing room nameplates. The detection in this research uses Faster Regional Convolutional Neural Network (Faster-RCNN) model made on Tensorflow. Meanwhile, room name recognition will actualize using PyTesseract. Testing was carried out on a smart wheelchair prototype using the Raspberry Pi 4B. The hardware integration result of the buzzer_1 function is 100%, the buzzer_2 function is 100%, the buzzer_3 function is 100%, the buzzer_4 function is 100%, the buzzer_5 function is 100%, and the motor function is 100%. While the integration of room plate detection software was 95% and room name recognition was 81%. Then performed image testing to measure accuracy, prediction ratio, and computation time. The results of detection accuracy using Faster-RCNN are 87%, the predictive ratio for recognition using PyTesseract is 77.73%, and the average computation time for detection is 6.825 seconds per image and for recognition of 2.54 seconds per image.
Implementasi Algoritme Enkripsi Salsa20 untuk Pengamanan Data Video Surveilans secara Real-Time Angger Ramadhan; Ari Kusyanti; Primantara Hari Trisnawan
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

Video Video surveillance is a form of surveillance for actions that may violate the law in the form of a collection of frames sent in real-time from a device that has a camera to another device that is tasked with conducting surveillance. However, problems can occur when the frame sent is taken by an unauthorized party, so that it can interfere with the confidentiality of the frame data. In previous research, there is a method for securing these frames, namely in the form of encryption using a block cipher algorithm and not using a stream cipher algorithm. Therefore, in this study, the implementation of the stream cipher algorithm, namely Salsa20, was implemented. Implementation of Salsa20 is applied to systems with client-server network architecture, namely encryption on the server and decryption on the client. After that, tests are carried out related to test vectors, performance, and attacks. The results of the test vector test have been successful because the output from the system is the same as the output on the paper. Furthermore, for the results of the attack test, the sniffing test succeeded in getting the frame on the network but could not get the information because the frame was encrypted and the ciphertext-only attack test failed because it had not succeeded in getting the key or plaintext.
Pengembangan Sistem Layanan Pemesanan Lapangan Futsal dengan memanfaatkan Teknologi Payment Gateway (Studi Kasus: Marcella Futsal Jombang) Muhammad Rizki Augusta; Widhy Hayuhardhika Nugraha Putra; Tibyani Tibyani
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

Futsal is one of a popular indoor sport in Indonesia. No wonder this is used by business people in Indonesia, by making a futsal field rental, one of which is Marcella Futsal Jombang. However, there are several problems that often happen. It often happens that there are two people reserve the futsal field at the same time, where Marcella Futsal only provides one futsal field. Then in reservation data storage still uses the manual method and there are also some customers who do not pay down payments when reserving the futsal field. Based on these problems, a system is needed to place reservation for the futsal field. This system was developed in the mobile application using the waterfall method. This system utilizes Midtrans payment gateway technology to make it easier for customers to make transactions when reserving a futsal field, either in paying down payments or paying rental fees. In addition, there is also a feature to view sports news obtained from the NewsAPI API. Then black box testing was carried out and get 100% results which show that the features provided by the system are functioning properly and in accordance with needs. Then in the usability testing using the System Usability Scale get the final value 85. Based on this value, it was found that the system was acceptable with a scale of B values, and very good at the level of system usability.
Evaluasi Usability pada Situs Web Dinas Kependudukan dan Pencatatan Sipil Kabupaten Sidoarjo menggunakan Metode Heuristic Evaluation Muhammad Zakhy Fitra Gusri; Buce Trias Hanggara; Aditya Rachmadi
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

The website of the Agency of Population and Civil Registration of Sidoarjo Regency is a service portal owned by the Sidoarjo Regency Government which aims to provide online-based services to the people of Sidoarjo. In accordance with Regent Regulation No. 46 of 2018, there is a need for a guarantee of service quality and an increase in the quality of online-based services from every field of government in Sidoarjo Regency. So it is necessary to evaluate the service tools belonging to the Sidoarjo Regency Government to be able to continue to improve the quality of their services, one of them is the website of the Sidoarjo Regency Population and Civil Registration Service, which is located at www.disdukcapil.sidoarjokab.go.id. This study aims to find usability problems from the website and provide recommendations for improvements to the findings of these problems. This study uses the Heuristic Evaluation method in evaluating the website by involving 3 experts in the UI / UX field. From the evaluation results found 19 heuristic problems which are divided into 2 cosmetic problems, 2 minor problems, 2 major problems, and 13 catastrophic problems. From the findings of these problems, recommendations for improvement were given in the form of a visual user interface design of 5 web page designs with 19 recommendations for improvement.
Klasifikasi Jenis Tanaman Tembakau di Indonesia menggunakan Naive Bayes dengan Seleksi Fitur Information Gain Fahmi Achmad Fauzi; Muhammad Tanzil Furqon; Novanto Yudistira
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

Tobacco plants are plantation products but not food crops, their leaves are usually used as the main ingredient in the making of cigarettes and cigars. Tobacco cultivation has been known for a long time in Indonesia, the cultivation of tobacco from generation to generation has resulted in the emergence of many new varieties in various regions in Indonesia. The number of tobacco varieties can be grouped by cultivation and type. The large number of tobacco varieties makes it difficult for farmers to distinguish the types of tobacco plants because the morphology and biology between tobacco plants are almost similar, so to make it easier to determine the type of tobacco plants, a system with a classification method is needed. One of the classification methods is the Naive Bayes algorithm. In this study, 11 classes were used and 19 features were used. In addition to classification, the feature selection method is also used to get a good combination of features and accuracy values, Information Gain used as the feature selection method. In the evaluation, the K-fold cross validation method is used to eliminate doubts on the data with k = 10. The result of all the tests carried out, the highest average accuracy for all balanced class tests was 52.72% using 17 features. Meanwhile, the highest accuracy of all unbalanced class tests is 64.06% when using 15 features.
Klasifikasi Penyakit Diabetes menggunakan Metode Support Vector Machine Abu Wildan Mucholladin; Fitra Abdurrachman Bachtiar; Muhammad Tanzil Furqon
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

Diabetes mellitus (DM) is a chronic disease associated with high levels of sugar or glucose in the blood. Diabetes is caused by one of two causes, autoimmune reactions (the body's defense system attacks insulin-producing cells) or insulin resistance (the body does not fully respond to insulin). The purpose of this research is to create a machine learning model that can detect diabetes early. There are many ways to diagnose diabetes, one of the methods is using machine learning. Support Vector Machine (SVM) is a machine learning method that is known to be quite effective for classification cases. The dataset is cleaned and normalized before so it can be ready to input in the SVM model. The SVM model is processed and tested in order to find the best model for making a diagnosis. The output of the SVM model will diagnose patients who suffer diabetes or not. The SVM model is divided into two types, the benchmark model which is implemented using the Sequential Minimal Optimization (SMO) algorithm and the scratch model which is implemented using the Sequential Learning algorithm. Each model is optimized using the Grid Search algorithm so that it can find optimal hyperparameters that can be used by the model. The optimal model is retested on several metrics using 10-fold cross validation. The test results show that the benchmark model has 0,87 mean accuracy, 0,82 mean precision, 0,78 mean sensitivity, and 0,92 mean specificity. The scratch model has 0,78 mean accuracy, 0,69 mean precision, 0,59 mean sensitivity, dan 0,87 mean specificity. The experimental results show that the Support Vector Machine method has the potential to be used as an early detection tool for diabetes.
Evaluasi Proses Bisnis Layanan Identitas Penduduk Menggunakan Quality Evaluation Framework (QEF) (Studi Kasus: Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Bekasi) Aulia Dwi Fitriani; Buce Trias Hanggara; Nanang Yudi Setiawan
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

The Bekasi Regency Population and Civil Registration Office accommodates several services in community identity documents under their tendance resident identity section. The section serves three services namely, recording electronic KTP, issuing resident identity certificates, and issuing electronic KTP. However, the service business process often inconsistencies with organizational targets so that evaluation is necessary. The stages begin with modeling a business process using the Business Process Model and Notation (BPMN), then using the Quality Evaluation Framework (QEF) method to determine which activities are experiencing mismatches. After that, problems with non-conforming activities will be identified using the Failure Mode Effect Analysis (FMEA) method so can be identified which activity need to be the main concern through the Risk Priority Number (RPN) value. Furthermore, fishbone analysis is used to determine the root of the problem. The results showed the quality factors the mismatch of the number of electronic ID card recording application files that enter to be served by the admissions counter officer (Throughput) with RPN 120 had root causes from the aspects of the machine and technology category, measurement, and method. Meanwhile, the quality factor the reception counter clerk checks the completeness of the application file (time to access) with RPN 36 has the root of the problem from the aspects of the category of machinery and technology and materials.
Implementasi Algoritme K-Nearest Neighbour Untuk Penentuan Pada Sistem Rekomendasi Pose Menembak Senapan Angin Mochamad Iswandaru; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
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

Shooting training so important for improve the quality of shooting accuracy, especialy for air rifle. Trainer is the important part when the athlete doing training because they can see and evaluate the training. One of indicator that trainer see when the athlete doing excercise is the movement of the rifle. Not every athlete can have trainer especialy amateur one. Stable movement of the rifle indicating that the position was right. From the problem above, need research that can replace trainer to give evaluation. To read the rifle movement in this research using HMC5883L magneto sensore with Arduino Nano using K-Nearest neighbor Algorithm. KNN methode used to find degree of angle from the rifle movement. From several test from HMC5883L sensore aquired 8,68% error percentage. From testing value of "K" aquired sucsses rate is 96%. From 10 times experiment that tested on user, system can get same value as the evaluation table was made.
Sistem Monitoring Struktur Jembatan dengan metode Real Time Operating System (RTOS) Komang Deha Abhimana Kader; Agung Setia Budi
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

Real Time Operating System (RTOS) is a new breakthrough for running multitasking processes on embedded systems. RTOS introduces the concept of Real Time, which means that the system does all existing tasks according to the specified time so that no task is carried out beyond the specified time limit. RTOS can be implemented in various fields that require a high degree of modularity, have limited resources and have a response time to events. One example is in the field of infrastructure monitoring which requires dentification of various types. Examples of infrastructure such as bridges. To implement RTOS in monitoring bridge structures using freeRTOS. FreeRTOS which is implemented uses three tasks in all sensor nodes where the first functions to monitor the load, deflection and strain on the last bridge, each task displays all data results to the computer using the serial monitor on the Arduino Uno. The data displayed in the form of loads, changes in the drop point in the middle of the bridge and changes in strain that occur on the bridge. The sensors used in monitoring the bridge prototype include load cell sensors for load measurement with the HX711 module, accelerometer sensors for deflection measurements and ultrasonic sensors for strain measurements with the Arduino Uno micocontroller. In the bridge prototype, the load is carried out three times with a load of 0 kg, 5 kg and 10 kg. The results of the loading obtained from the load, strain and deflection that occur. Then get the accuracy and response time of each task at the sensor node. From the test results, FreeRTOS has an average time of 1ms faster than without FreeRTOS and the accuracy of the sensor readings using FreeRTOS is closer to the desired result.

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