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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 60 Documents
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Search results for , issue "Vol 6 No 9 (2022): September 2022" : 60 Documents clear
Sistem Monitoring Kesehatan Udara menggunakan Sensor MQ7 dan MQ135 terhadap Berbagai Gas Berbahaya pada Mobil Muhammad Zidni; Mochammad Hannats Hanafi Ichsan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Air is one of the important elements that support the daily routine of everything on this earth, but in today's time air quality is undergoing an undeniable shift in path due to extremely high levels of contamination, so the need for clean and natural air is right. -true is almost difficult to obtain in line with the rapid development of urban development, industry, and the high level of emission of motor vehicle emissions. Many cases of sudden death caused by this gas, especially in users of four-wheeled vehicles. Exhaust gas in vehicles is the residue from combustion in the form of water (H2O), Carbon Monoxide (CO), Carbon Dioxide (CO2), Nitrogen Oxide (NOx), Sulfur Dioxide (SO2) and Hydrated Carbon (HC) compounds as imperfections in the combustion process. and loose particles. To avoid this, a thesis is made to detect and monitor the presence of CO and CO2 gases in the air and any changes in the data detected by the sensors on the air health monitoring tool in the car will be stored, so that data on the presence of gas detected can be processed. and displayed as information. The implementation of the system uses two sensors as input, and if the sensor reads the parameter value, ESP32 will process the data and then the data is processed to be displayed on the web server. Then the data that has been inputted will be sent using the notification delivery protocol from the BOT telegram. From the results of testing the time of sending this data, the average time when the sensor sends data to the user gets a delivery time of 2566.66 ms (milliseconds) and vice versa, when the user takes data from the sensor, the average delivery time is 2766.66, this indicates if the data is sent fairly quickly also get satisfactory results.
Evaluasi dan Perancangan Pengalaman Pengguna pada Aplikasi Adopsi Hewan Peliharaan menggunakan Metode Pengujian User Experience Questionnaire, Usability Testing dan Metode Perancangan User-Centered Design Ghozi Akbar Wicaksono; Komang Candra Brata; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Adopsi is an application developed by PT. Oniyon Creative Revolution with the goal to make pet adoption process easier and simplified. Based on the evaluation conducted using user experience questionnaire (UEQ), the benchmark value was found to be at poor level. Besides of running well functionally, a system must consider improving their user experience in the hope of improving the ease when running the system. This study uses user-centered design approach by identifying the characteristics of users and involving users as respondents in the user experiences design process. The initial evaluation was performed on the existing design of application using UEQ method to determine the level of user experience according to respondent's impression, the usability testing method to find usability problems faced by respondents when doing the given task and open interview to collect user's problems and needs. There are 19 issues found and recommendations for solutions are made by following the design guidelines from 10 Usability Heuristics and Material design. The results of design process are implemented on a prototype as a test tool of design solution. Then evaluation of solution design performed using the same method as on the existing application design and improvements are made to get a final design that fits the user's needs.
Perancangan User Experience Aplikasi Mobile Pengelola Toko Kue menggunakan Pendekatan Design Thinking (Studi Kasus: UMKM Dapur Maya di Pangkalpinang) Muhammad Hafiizul Kirom; Riswan Septriayadi Sianturi; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

MSMEs play an important role in the country's economy. MSMEs have great potential, therefore it is important to help MSMEs maximize their potential. MSMEs generally have not adapted to modern ways of managing businesses. Dapur Maya is one of them. Dapur Maya still uses the traditional method of using pen and paper or memorizing in most of its management aspects. This causes problems such as customer complaints due to late orders or forgetting to buy some ingredients which lead to decreased customer trust and revenue. To help Dapur Maya MSMEs and similar MSMEs solve this problem, research was done to design the user experience of a mobile application for cake shop management using the Design Thinking method. The design goes through empathise, define, ideate, prototype, and test phase. The test results show an effectiveness level of 92%, an efficiency level of 0.22 goals/second, and a SUS score of 81.6 which can be rated as Good, B grade scale, and Acceptable category. The results of UEQ testing gave 1.57 on Attractiveness, 2.10 on Perspicuity, 2.20 on Efficiency, 1.95 on Dependability, 1.80 on Stimulation, and 1.20 on Novelty. All UEQ scores are greater than 0.8 which means the results are considered positive.
Perancangan Sistem Pengamanan Ganda pada Brankas menggunakan Convolutional Neural Network berbasis Raspberry Pi Muhamad Fauzan Alfiandi; Fitri Utaminingrum; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In human life, one of the most important things is security. Security works to prevent, protect assets, physical or digital items that we own from theft and lost items. According to the data from Indonesian National Police Yogyakarta Region, the number of theft cases in 2021 has reached 1219 cases, and that's why a protection system is necessary as an effort to guard against any thief. The commonly used protection system for physical items is a safety box. Technological advancements especially hardware, encourage people to help, simplify and solve problems. Microcontroller technology is currently evolving. Microcontroller serves a digital processing purpose and certain program and instruction can be made according to what we want. Technological advancements can be associated with the security field such as biometric face recognition. This face recognition system can recognize a person's face. To construct a protection system preventing theft, this research uses double security on a safety box, PIN and face detection. Applying the deep learning Convolutional Neural Network for face detection so the system can detect the safety box owner's and not the owner's face. PIN number combination must be inputted to lock the safety box using a solenoid lock. The purpose of this research is to construct a double security safety box without risking losing a key. According to the test results, the system can detect the owner's face object with 83% accuracy, 81% precision, 86% recall with 8.19 seconds of computing time, 100% success rate of PIN input, face detection and keypad integration to solenoid lock test results with a 100% success rate.
Sistem Kendali Intensitas Cahaya dan Kelembaban Tanah untuk Umbi Porang (Amorphophallus Oncophyllus) menggunakan Metode Logika Fuzzy Nur Syifa Syafaat; Hurriyatul Fitriyah; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Porang is a tuber that has high mineral and glucomannan content, of which glucomannan used for the pharmaceutical, beverage, cosmetic, adhesive/glue, and textile industries. In 2018, 254 tons of porang tubers were exported, with a value of Rp. 11.31 billion. Porang has its own growing requirements, including the height of the planting area between 100-600 masl, temperature 25-35 °C, loose soil texture with high organic content, good air aeration, neutral pH between 6-7, requires about 30% shade, and soil moisture of about 40%. Therefore, planting to harvesting porang tubers can only be done once a year, planting during the rainy season and harvesting during the dry season. Due to this, a control system is needed for light intensity and soil moisture so that the cultivation of this porang plant is more optimal. This system uses a BH1750 sensor which functions to measure light intensity and a soil moisture sensor to measure soil moisture in plants. This system uses Arduino UNO as a controller for controlling light intensity and soil moisture. In testing on the fuzzy logic method, soil moisture data has an accuracy of 70% and light intensity has an accuracy of 80%, and on average both have an accuracy of 75%. In 10 trials the average time required is 1.799 seconds..
Analisis Perbaikan Proses Bisnis menggunakan Quality Evaluation Factor (QEF) dan Root Cause Analysis (RCA) pada Baraya Cargo Muhammad Rasyad Fauzan; Nanang Yudi Setiawan; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Baraya Cargo is a shipping company that carries out shipping activities through a series of business process activities starting from contract agreements, shipping preparation, delivery, and ending with the issuance of invoices. The current business processes are still experiencing problems from time delays and the occurrence of a lack of documents that disrupt the performance of Baraya Cargo. Therefore, improvement activities were carried out starting from modeling the main business processes in the form of Business Process Model and Notation (BPMN) in the Bizagi application. The business process model is then evaluated using the Quality Evaluation Framework (QEF). It was found that there are 3 main business processes that have problems where there are inappropriate metric values. After that, an analysis was carried out using Root Cause Analysis (RCA) to find the root cause of the metrics that did not match. Recommendations are then given using streaming tools from Business Process Improvement (BPI). Finally, a simulation was carried out through the Bizagi application to determine the time performance improvement between business processes (as-is) and business processes (to-be). The simulation results show that the contract agreement business process has increased performance by 75.5%, the delivery business process is 1.6% and the invoice issuance business process is 76.5%. It can be seen that the implementation of the recommended business process shows a significant performance improvement when applied to Baraya Cargo.
Analisis Sentimen IMDB Movie Reviews menggunakan Metode Long Short-Term Memory dan FastText M. Aasya Aldin Islamy; Indriati Indriati; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Current technological developments make it easier for humans to explore a lot of information using the internet such as review information or opinions about films. Public opinion about the film can be found on the IMDB website. By doing a sentiment analysis on public opinion about the film, we can conclude whether a film gets more positive or negative opinions. To perform this sentiment analysis, one of the deep learning methods is used, namely Long Short-Term Memory (LSTM) with FastText as a vector representation of words in the IMDB movie reviews dataset of 50,000 data. Performance using the Long Short-Term Memory and FastText methods produces an accuracy of 0.863; precision of 0.865; recalls of 0.861; and f1-score of 0.863. This LSTM and FastText method produces better performance than using LSTM alone with a difference of 0.053 on the f1-score value with details of accuracy reaching 0.808; precision reaches 0.804; recalls reached 0.816; f1-score reaches 0.810 for the LSTM method only.
Perancangan User Experience Sistem Informasi Pelaksanaan Praktik Kerja Lapangan berbasis Website menggunakan Pendekatan Human-Centered Design (Studi Kasus: SMKN 2 Kota Serang) Richard Hans Octavian; Eriq Muhammad Adams Jonemaro; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of information technology changes every year, the field of education is one field that has a significant impact on the development of information technology. SMKN 2 Serang City is one of the state SMKs located in Serang City, Banten. Students of SMKN 2 Serang City are required to carry out On The Job Training (OTJ) to meet the curriculum requirements, so that students gain experience as a provision in the world of work later. Problems that occur at this time the implementation of street vendors is still done manually, it makes the implementation of street vendors less effective and efficient. To overcome the problems experienced, it takes a web-based information system development to be a solution in solving these problems. In building a website-based information system there is a component called User Experience. One of the methods in designing and developing User experience is to use the Human Centered Design (HCD) approach. This system will be developed by having several features in the form of discussion room pages, search features in discussion rooms, filters in discussion rooms, registration of street vendors, daily attendance logbook, and reporting of street vendors. To get a good User Experience and in accordance with the needs of users, testing of the system is treated, the method used to evaluate the User Experience of a system is one of them using Usability Testing. Based on the results of testing the features contained in the system, the results of testing on 3 aspects of testing are effectiveness, efficiency, and satisfaction.
Penerapan Platform Visualisasi dan Analisis Trafik Jaringan menggunakan Elastic Stack Shafira Aulia Indrarto; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Monitoring system is a system that aims to monitor activities on network devices. Monitoring is needed to monitor any problems that have the potential indication to disrupt the internet network. A method that can be used to monitor the network is to use the Elastic Stack. In this final project, Elastic Stack will be applied to monitor network traffic by providing a visualization of the existing network traffic data and then analyzing the traffic data. The main component of this system is a server in which the Elastic Stack components have been configured, there are Packetbeat, Elasticsearch and Kibana. The process for visualizing and analyzing network traffic begins with data collection, data transmission, data processing and data visualization on the dashboard. In the data collection process, the data used is sample data from network traffic at Brawijaya University which is obtained using TCPdump. Next, the sample data will be sent to Elasticsearch by Packetbeat to be stored in the database and indexed. The indexed data will be grouped then into certain fields to indicate what information is contained in the sample data. In these fields, visualizations in the form of pies, charts and graphs will be displayed on the Kibana Dashboard based on data stored.
Implementasi Wearable Device untuk Sistem Pendeteksi Stres pada Manusia berdasarkan Suhu Tubuh dan Detak Jantung Izzati Firsta Wijayanti; Edita Rosana Widasari; Barlian Henryanu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stress is the result of an unusual situation, with factors such as good or bad events, frustration, pressure, and environmental conditions causing stress. Stress can affect the condition of the body, and if a person experiences it, the body's reactions include excessive sweating, shaking, an increase in heart rate, rapid breathing, and headaches. Stress will be detected earlier and treated more effectively. As a result, we require a practical stress detector that is simple to use and can determine a person's condition based on his heart rate and body temperature. This stress detector uses two parameters: heart rate, which is detected by the MAX30102 sensor, and body temperature, which is measured by the MLX90614 sensor and processed by the Arduino Nano. The outcome of developing a tool with both sensors detecting via the fingers displayed on the OLED 0.96 inch and the accurarcy of the measurement between MLX90614 and thermometer is 98.51%, the measurement between MAX30102 and pulse oximeter got 92.43% accuracy and the overall test of the tool that has mad comparisons with DASS 42 stress scale got 70% accuracy using 10 subjects. The average computations time when a person detected as stress is 0.359 seconds.

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