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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.
Arjuna Subject : -
Articles 6,972 Documents
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Implementasi Metode Naive Bayes untuk Diagnosa Pengidap Demam Berdarah pada Kelurahan Antasan Besar berbasis Web Akhmad Wahyu Redhani; Nurul Hidayat; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dengue Hemorrhagic Fever (DHF) is one of the public health problems in Indonesia where the number of sufferers tends to increase and its distribution is getting wider, especially for the Antasan Besar sub-district. The use of web-based technology systems in assisting the diagnosis of dengue fever is currently very necessary. The system that is built to get accurate diagnostic results requires a method. The Naive Bayes method is one of the techniques that can be used to perform analysis in determining the diagnostic results from a number of data studied with the aim of producing optimal results. The use of the Naive Bayes method in this application is due to the probability that the accuracy value of the Nave Bayes method is close to the accuracy value of the experts. In this study, 3 trials were conducted using 4 test data and the results showed that based on the three experiments, the accuracy values ​​ranged from 96% to 97%, indicating that the classification accuracy has a small error value. So the classification using Naive Bayes in this study can be applied to determine the classification of the incidence of dengue hemorrhagic fever.
Evaluasi User Experience pada Game Grand Theft Auto (GTA) V Online menggunakan Cognitive Walkthrough Muhammad Hasbi Rahman; Eriq Muhammad Adams Jonemaro; Wibisono Sukmo Wardhono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

User experience is the study of how to create a product that is comfortable and easily understood by the product user. One concrete way to find out whether the user experience is functioning properly or not is by using the Cognitive Walkthrough method. This method is analytic to evaluate step-by-step in a product and find out the problem of user convinience of the product. This method is suitable for both new and old users because it does not require a lot of money, it is effective, and efficient. Game Grand Theft Auto V online is a game that is very suitable to be the object of Cognitive Walkthrough evaluation research because it has received many awards, some of them are winning the Game Of The Year at Spike VGX and the Golden Joystick Award in 2013 and winning Best Multiplayer at Spike VGX in 2014. The game evaluation results show that there is a problem of task importance 1 with a feedback problem type with an average value of 0.666, while in task importance 2 a user problem type (U) with an average value of 1.5, physical demand (P) with an average value of 0.55 and hidden (H) with an average value of 0.166, and the last problem lies in task importance 4 with the types of user (U), hidden (H) and physical demand (P) problems with an average value of 0.166 each.
Perbandingan Akurasi untuk Deteksi Pintu berbasis HOG dengan Klasifikasi SVM menggunakan Kernel Linear, Radial Basis Function dan Polinomial pada Raspberry Pi Anugrah Zeputra; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Covid-19 virus pandemic causes new problems in people's lives in Indonesia. The pandemic requires the implementation of all activities to run with a distance limitation or is called social distancing, as a result of which many of the activities that take place are hampered and inefficient. Therefore, developing a system that can work autonomously is an idea that can provide solutions to these problems. an autonomous system that can be used in this problem is a detection system using a Machine Learning algorithm. The detection system uses Computer Vision to get input to detect objects such as open doors, closed doors and walls. this system works autonomously in real time. Computer Vision uses image data as input. Therefore the image data extraction feature using the Histogram of Oriented Gradient (HOG) is a suitable basis for processing image data when juxtaposed with a Support Vector Machine (SVM). SVM has several types of kernels that can be used to classify image data, some of which are Linear, Polynomial and Radial Basis Function (RBF) kernels. the way each kernel works is different from one another to classify image data. Therefore, research to examine the comparison of the SVM kernel to the classification of image data was investigated in order to obtain a more optimal system performance.
Evaluasi Pengalaman Pengguna dari Perspektif Mahasiswa pada Eling dan Google Classroom (Kasus: Mahasiswa SAP Sistem Informasi Angkatan 2019 Fakultas Ilmu Komputer Universitas Brawijaya) Ananda Apriliah Sari; Ismiarta Aknuranda; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Eling is an LMS that contains information on the implementation of learning activities at Filkom. Google Classroom is a Learning Management System (LMS) service product that aims to simplify and organize the learning process, assess assignments and improve communication without having to meet face-to-face. Currently, Filkom UB uses two LMS, namely Google Classroom and Eling for online learning. So far, it is not known what the student's perspective is when using the LMS Google Classroom and Eling. Therefore, the researcher wants to evaluate the user experience from the student's perspective on these two LMS. If the student's perspective is known, it is hoped that the problems encountered by student users with each LMS and the needs of users will be known, which will later provide benefits for improvements to LMS services. The researcher also intends to find out and compare how good the user experience is felt by LMS users. This LMS user experience test uses usability testing. Usability testing is used to identify problems and determine user responses to show how effective and efficient the LMS is to help users achieve their goals. The results of the interviews obtained problems, needs and preferences of respondents in each LMS. The results of testing the effectiveness, efficiency and satisfaction can be seen that Google Classroom gets a higher rating on all scenario testing and the results of the SUS questionnaire.
Exponential Smoothing untuk Peramalan Jumlah Penjualan Hijab Vie Hijab Store Eky Cahya Pratama; Muhammad Tanzil Furqon; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the modern era like today, advances in information technology have penetrated into various fields, one of which is in the industrial sector which can assist in the decision-making process to forecasting something that will happen in the future. Vie Hijab Store is a home-based business, such as a sewing house, which is concerned in the production and sale of hijab, which has problems stocking fabric as raw material. The process of forecasting the number of sales will be very helpful in regulating the decision-making process when stocking goods. In this study, the method used for forecasting Exponential Smoothing which consists of Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), Triple Exponential Smoothing (TES) methods. Referring to one of the test results on the 4th increase period data sample which represents the situation of an increase in the second year of the Hajj month obtained from the dataset, the best parameter values for khimar products in the TES method are alpha = 0,9, beta = 0,9 and gamma = 0,1 which resulted in a MAPE of 11.47%. As for pashmina products in the TES method with alpha = 0.4, beta = 0.9 and gamma = 0.8 which resulted in a MAPE of 9,22%. Based on the results of all the tests of the three methods, if a comparison is made, it is shown that the majority of the best results are obtained when using the Triple Exponential Smoothing method. Therefore, the Triple Exponential Smoothing method was chosen as the best method for forecasting the number of hijab sales.
Pengembangan Sistem Informasi Manajemen Pengelolaan Member Fitness dan Kebutuhan Nutrisi Member serta Pemantauan Perkembangan Usaha berbasis Website (Studi Kasus: Executive Gym, Kota Cilegon) Rizky Ramadhana; Fajar Pradana; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fitness can make the body fitter and look good by lifting weights, no wonder fitness centers are increasingly popular with the community, one of which is the Executive Gym. However, it is difficult for Executive Gym owners to monitor the running of the business in real time. Lack of monitoring means that information on business developments cannot be obtained quickly and accurately. From the receptionist side, all recording was done in handwriting which tended to take longer and was complicated so it was not effective and efficient. At the time of training, the instructor had difficulty knowing the exact amount of nutrition the members needed, so the instructor still relied on estimates and this became a concern as well. So, the Development of Information System Management for Fitness Member and Member Nutritional Needs and Business Growth Monitoring Website-Based with the Executive Gym case study was carried out , so that the receptionist can manage visitors effectively and efficiently. Business owners can monitor the running of the business in real time from afar and get the necessary reports in detail for a business development strategy. In addition, the instructor can calculate the nutritional needs as well as the amount of food that the member needs appropriately. Development is carried out using the waterfall model. The system was tested by unit testing, integration testing, and validation testing of 49 test cases with a valid value of 100%, and usability testing with a result of 91% (very feasible) and a Cronbach alpha value of 0.98 (perfect).
Implementasi Algoritma Enkripsi Snow-V pada Wireless Sensor Network (WSN) Yulius Adi Pratama; Agung Setia Budi; Ari Kusyanti
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless sensor network (WSN) is a technology consisting of a collection of nodes that are spread out within the scope of the system that can be used for monitoring, tracking and controlling equipment. Each node on the WSN uses a wireless network in exchanging data so that it allows data to be seen and collected by other parties by eavesdropping on the data exchange path between nodes. The data seen and collected by other parties may contain sensitive information such as identity, location, etc. In this study the author uses the streamciper method in securing data with the Snow-v algorithm. Streamciper was chosen because of its simplicity in securing data and its speed. The Snow-v algorithm is a new algorithm that offers speed and lightness in running the algorithm. The Snow-v algorithm is also a proposal in the encryption of perimits in 5G systems. In this study, the snow-v algorithm is used as a keystream generator in the streamciper. In this study, using nRF24L01 as a communication module for data exchange between nodes using radio frequency media and Arduino Uno as a tool used as a medium to run the Streamciper method and the Snow-v algorithm. From the research results, the data cannot be read by other pilaks who are eavesdropping on the exchange of data between nodes. In this study, the average time required for the node to encrypt is 241 ms and the time required to decrypt the data is 185 ms.
Sistem Prediksi Hasil Produksi Udang Vaname menggunakan Algoritma Multiple Linear Regression (MLR) Kombinasi Gradient Descent (GD) dengan Apache Spark Wicky Prabowo Juliastoro; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vannamei shrimp is a shrimp in the tiger prawn pond culture favored by the Indonesian people because it has an economical price and has the expected prospects and benefits. The cultivation of vaname shrimp is quite tricky compared to tiger prawns. Vannamei shrimp is vulnerable to diseases such as White Faces Syndrome (WFS) and White Spot Syndrome (WSS) which results in death and a decrease in the amount of production produced. The decrease in production results is also caused by poor air quality management such as poor air circulation, irregular ponds, and providing excessive feed which causes poor air quality. Therefore, an algorithm is needed that can predict the production of vannamei shrimp based on the quality of the water used so that cultivators can take preventive actions against problems that occur. In this study, prediction is carried out into several processes, namely, pre-processing, data normalization, prediction, and calculation of the error value. In the prediction process, the algorithm used is Multiple Linear Regression (MLR) a combination of Gradient Descent (GD) with Apache Spark and in the process of calculating the error value using the Root Means Square Error (RMSE) method. The results of this study are based on the testing process using water quality data for 1 harvest of ponds owned by FPIK UB partners in. Lamongan which consists of 18 parameters in 4 different pools, the RMSE value is 210,634 and the Adjusted R-Squared value is 0.8341 with a training and testing data percentage of 70%:30%, the number of features is 18, the alpha value is 0.33, the error value is 0. .01 and the number of nodes is 6.
Perancangan Antarmuka Pengguna Aplikasi Mobile Learning pada Mata Pelajaran Komputer dan Jaringan Dasar dengan Metode Human Centered Design (Studi Kasus: Kelas X TKJ di SMKN 1 Dlanggu Mojokerto) Nurul Fikriyah; Hanifah Muslimah Az-Zahra; Wibisono Sukmo Wardhono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile learning application in Computer and Basic Network subjects is an innovation from the Vocational Hight School 1 Dlanggu school. The purpose of innovation in making this application is an application that is shown in the teaching and learning process. In making or developing applications, an interface design display is needed in the form of a prototype. The design process in the mobile learning application user interface uses the Human Centered Design (HCD) method that focuses on users and user needs. In testing the prototype using the heuristic evaluation method. Heuristic evaluation (HE) to assess and find usability problems based on heuristic principles for e-learning with the help of an expert or expert as an evaluator. After heuristic testing has been carried out, the next step is to carry out tests involving users using the System Usability Scale (SUS) method to produce user satisfaction or satisfaction. The results of the solution design prototype were carried out 2 times of heuristic testing, the first stage found findings of 36 problems and the second stage decreased by 20 problems to 16 problem findings in the evaluation of the solution design. While the results of the system usability scale (SUS) questionnaire get a score of 73, which means that the results of the dolution design prototype can be accepted by the user. The results of this study can be used as design recommendations in the development of mobile learning applications.
Pembangunan Sistem Informasi Point of Sale Terintegrasi berbasis Web (Studi Kasus : MangoSaurus, Taichan.otw, dan RinduCandu) Muhammad Rizqi Rakha Aulia; Komang Candra Brata; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The number of ideas in making a culinary business makes a lot of competition in the sale of these products, there is many individuals make several businesses that are managed alone. Muhammad Farchan Rafsanjani is one of the many people who have several businesses, including MangoSaurus which sells juice products, RinduCandu which sells drink products, and Taichan.otw which sells satai taichan products. With so many businesses running, of course management is a very important thing. However, the daily transaction recapitulation system that is run in his businesses uses books, the recapitulation carried out on the books is not reliable, and sometimes the money earned on certain days is more than the number of transactions in the recapitulation. The stock management in the three businesses is considered very ineffective, the empty stock will be reported by employees to the owner via chat on social media applications, so the owner goes back and forth to add stock to each of his businesses. Therefore, this study builds an integrated Point of sale (POS) information system that can display daily transactions and various types of management. The development process in this research uses the waterfall method. This system is website-based using the PHP programming language and the CodeIgniter framework. In the part of testing, whitebox testing was carried out for unit and integration testing, after that blackbox testing was carried out which resulted in a validity value of 100%, and the last was performance testing which resulted in an average loading time of 2.579 seconds.

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