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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 6,923 Documents
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Perancangan User Interface Sistem Informasi PT. Mulia Perkasa Kontraktor menggunakan Metode Human-Centered Design Zahrah Putri Ramadhanti; Hanifah Muslimah Az-Zahra; Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Mulia Perkasa Kontraktor (MPK) is a service company whose head office is located in Cirebon City, West Java. The services provided include Cleaning Service, Landscaping, Security, and other services related to property management and maintenance. Based on the results of the study, there were problems found that were related to the processing of PT. MPK. Some staff complained that it was less effective because they had to access several separate applications where the data was stored, some even still doing it manually, namely writing on paper documents. To overcome this, a solution that can help is needed is to design a user interface for data processing information systems PT. MPK which focuses on 4 divisions, namely HRD, operations, logistics, and finance. The design process will use the Human-Centered Design (HCD) method which aims to be a user-focused approach in design. There is a task scenario assessment process using the Single Ease Question (SEQ) and a usability evaluation process using the System Usability Scale (SUS). The average score obtained using SEQ from the four divisions is 6.3, and the average score for the SUS assessment is 81.6.
Evaluasi Usability Website Lembaga Tinggi Pesantren Luhur Malang dengan Metode Usability Testing Kamal Irsyadillah; Tibyani Tibyani; Widhy Hayuhardhika Nugraha Putra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Website of the Lembaga Tinggi Pesantren Luhur Malang is a website as a means of da'wah, publication of pesantren activities, history, and online registration of new students. The usability components tested in this study are the components of learnability, efficiency, error and satisfaction. This study uses usability testing, interviews and filling out the system usability scale (SUS) and single easy question (SEQ) questionnaires. All participants in this study were users of the website ranging from 15-17 years old, 18-24 years old and 25-64 years old. Usability testing was conducted on nine respondents to determine the components of learnability, efficiency, and error, to explore the problems faced, interviews and SEQ questionnaires were filled out at the end of usability testing. The SUS questionnaire was filled out to 20 respondents to determine the satisfaction component. The evaluation results show the value of the learnability component (77.7%), the efficiency component (0.00039 goals/sec), the errors component (0.09), the satisfaction component on the SUS questionnaire (74) and the SEQ questionnaire with the highest score of 6.6. This indicates a problem that needs to be identified further. The results of participant interviews showed 6 problems, and 6 recommendations for improvement solutions were given regarding changing the interface and adding features based on the appropriate guidelines.
Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) RSUD Gambiran Kediri menggunakan Framework Human, Organization, and Technology-Fit (HOT-FIT) Model Evita Oktaviana; Widhy Hayuhardhika Nugraha Putra; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hospital Management Information System (SIMRS) is an information system which is used for process data into information used for the hospital services. SIMRS at Gambiran Kediri Hospital have problems related to technology such as frequent errors in system support devices, slow access networks, and some features were'nt functioning properly. Related to humans which is human errors. Related to the organization such as management support is still lacking and training is not evenly distributed. These things can cause a decrease in the quality of patient care in hospitals. The purpose of this research is to evaluate SIMRS in order to describe the problems of the current system condition using the HOT-Fit Model Framework and provide recommendations for SIMRS improvements to improve hospital services. Data was collected by distributing questionnaires to 135 users of SIMRS in hospitals were processed using descriptive statistical techniques and interviewing 11 informants which collected using triangulation techniques. The results showed that the technology aspect got a score of 73.52%, the human aspect got a score of 74.77%, the organization aspect got a score of 81.35%, the net benefits aspect got a score of 76.20%. Based on the problems obtained from this research, hospital need to improve and develop the information systems in order to meet hospital's needs in the future to provide maximum service.
Implementasi Load Balancing dan Failover pada Proses Migrasi Container Docker Shofura Naufal Rifiera; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The rapidly increasing use of the internet today will of course have a major impact on the performance of a web server. The web server cannot respond quickly so that it can hamper the communication process. The availability of a web server that is not supported by a method can hamper the performance of a server, due to the accumulation of requests on the server which can cause network failure. For this reason, a dynamic web server implementation planning process was formed by implementing a docker system with the failover method to be able to dynamically take over the connection when one of the servers is down is proposed to overcome this problem. Based on the research on the implementation of dynamic web servers by implementing Docker, it can be concluded that the implementation of dynamic web servers with Docker as containerization management on virtual networks. With the facilitation of the web server image, it can be used to run an open source service as a web server by implementing the PHP language to be displayed on HTML pages that are directly connected to the data base as storage media. With loadbalancing and failover mechanisms in the docker environment, it is very helpful in distributing web server services from node manager to node worker as a backup server in the event of a system failure on one of the servers. Then the dynamic web server in failover testing has the lowest average response time at node worker 2 with a value of 18.90ms, the time obtained is certainly influenced by the delay time interval that has been determined during load testing of the web server service.
Analisis Sentimen Pengguna Twitter terhadap Pembayaran Cashless menggunakan Shopeepay dengan Algoritma Random Forest Thifal Fadiyah Basar; Dian Eka Ratnawati; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Shopeepay is an electronic money service issued by the shopee company for transactions at shopee, offline payments at shopeepay partners, and storing the returned funds for use in subsequent transactions. Many shopeepay users in Indonesia raise many opinions on this platform, one of which is the microblogging site, namely Twitter. Sentiment analysis or opinion mining is computational learning to identify and extract as well as study opinions, sentiments, emotions, judgments and views in text form. Random Forest which is one of the methods in conducting Sentiment Analysis and enters the type of Decision tree method. In this study, the random forest classifier algorithm was used to classify the opinions of twitter users on the shopeepay platform. From the implementation, the values ​​for the results with a tree depth of 55 and the number of trees 300 resulted in 95% precision, 94% recall, 95% F1-Score and 95% accuracy.
Analisis Sentimen berbasis Aspek terhadap Ulasan Hotel Tentrem Yogyakarta menggunakan Algoritma Random Forest Classifier Hana Chyntia Morama; Dian Eka Ratnawati; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of tourism has increased visits in tune with the hospitality industry in Indonesia. One of the popular five-star hotels is Hotel Tentrem Yogyakarta. The large number of hotel review data makes visitors confused to make the right decision. Sentiment analysis can overcome this problem by processing review text data which was initially unstructured into information that has positive, negative or neutral values. In addition, aspect categorization is also carried out so that it is easier for visitors to find reviews according to their purpose. The aspects used in this research are room aspects, service aspects, location aspects, swimming pool aspects, and gym aspects. Hotel review data was obtained by scraping using the Webscraper.io tool on the Tripadvisor website. Classification was carried out using the Random Forest Classifier algorithm and term frequency-inverse document frequency (TF-IDF) word weighting. After analyzing the test, the aspect that is used is only the room aspect because it has a balanced proportion of sentiment compared to other aspects. The proportion of sentiment is considered important in the classification of sentiment. The test is carried out based on the parameter scenario of the number of trees and the depth of the tree. The number of trees used in this study is 300 and the depth of the tree is 10. The test results prove that the greater the number of trees and the depth of the tree, the better the prediction results. The best classification results in the room aspect is 90% for the accuracy value and the f1 score.
Pengenalan Entitas Bernama pada Bahasa Madura menggunakan Algortima Viterbi dan Hidden Markov Model (HMM) Moh. Dafa Wardana; Putra Pandu Adikara; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diterbitkan di JTIIK (Jurnal Teknologi Informasi dan Ilmu Komputer)
Simulasi Algoritme Hector SLAM untuk Pemetaan 2D pada Quadcopter berbasis ROS Selina Kusmiawati; Eko Setiawan; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Quadcopter is an Unmanned Aerial Vehicle (UAV) that is deployed to operate in areas that are not maximally accessible by Unmanned Ground Vehicles (UGV) in geographic structures that have been distorted due to natural disasters. Quadcopter requires the ability to recognize the surrounding environment by using a map. A map is a set of features that describe the environment such as walls, obstacles, landmarks, etc. Maps are relatively easy to make in a static environment, but in a disaster-damaged environment, maps will be more difficult to create because the environment has changed. The solution to this problem is that the quadcopter must be able to build its own environmental map. To build a map, a mapping process is needed that can be done using Simultaneous Localization and Mapping (SLAM). Hector SLAM is one of the SLAM algorithms which works based on scan matching technique and without odometer. Simulations were carried out to test the 2D mapping results from the Hector SLAM algorithm. The mapping was carried out with a LiDAR sensor embedded in the quadcopter and tested in 3 different environments. Simulations were carried out with 3D Gazebo and Rviz simulators based on Robot Operating System (ROS). There are 36 test scenarios carried out with the best map accuracy obtained with a Structural Similarity Index (SSIM) value of 0.78, Mean Squared Error (MSE) value of 5344.1, and Pixel Matching percentage of 89.59%.
Pengelompokan Mahasiswa untuk Pengajuan Bantuan Uang Kuliah Tunggal menggunakan Metode K­Means Clustering (Studi Kasus BEM FILKOM UB) Nourman Hajar; Nanang Yudi Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

University of Brawijaya (UB) implements single tuition fee (UKT) system based on the students' economic background. Students at FILKOM UB who have difficulties to pay for UKT can apply for UKT aid to the faculty through Advokesma BEM FILKOM who will do selection for the submissions. The large number of data that must be verified in a short time span makes it difficult to select the submission to be recommended. A data clustering system is needed maket UKT aid submission selection easier. Clustering is done using K-Means algorithm using economic condition data of active students in FILKOM UB who enrolled via SNMPTN and SBMPTN. The number of clusters produced is six, based on the number of UKT groups in UB.. Validation test using Calinski-Harabasz index shows that six is the most optimal number of clusters with a score of 74.84. The K­Means algorithm groups student data into UKT groupsfor later analysis. The presentation of the results of clustering uses Google Data Studio in the form of a dashboard that presents information on the distribution of data and the results of clustering. Usability testing using System Usability Scale (SUS) produces score of 72.5 which indicates the dashboard is acceptable with a good rating. From the data analysis, Advokesma BEM FILKOM can determine priorities in recommending the UKT aid submission based on the comparison of the student's clustered group and the student's UKT group..
Perancangan User Experience Prototype Aplikasi untuk Mengatasi Kecemasan Berbicara Didepan Umum Fasya Yahya; Ratih Kartika Dewi; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

College students in these roles are usually required to be capable of public speaking, such as giving a presentation in front of a class or hosting a big event with a high number of attendees. Many college students are nervous about speaking in public for several reasons, including a fear of being laughed at, a concern about affecting other's perceptions of them, or a poor/bad public speaking experience. As a response, the researchers developed an app to help public speakers reduce anxiety symptoms by providing instructions for breathing and progressive relaxation techniques that can be practiced anywhere. In order to create applications that meet user demands, this design employs the Human-Centered Design methodology. Usability testing was performed on 5 participants during the testing stage. The findings reveal that the efficacy aspect is 88,50%, the efficiency aspect is 0,061 goals/second using the Time-Based Efficiency calculation, and user satisfaction with the SUS questionnaire is 81,80 with an A in the excellent adjective and acceptable. Furthermore, UEQ was used to conduct user experience testing, with the attractiveness aspect scoring 2.16, perspicuity scoring 2.10, efficiency scoring 2.28, dependability scoring 2.15, stimulation scoring 2.39, and novelty scoring 2.10.

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