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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 60 Documents
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Search results for , issue "Vol 5 No 11 (2021): November 2021" : 60 Documents clear
Klasifikasi Penyakit Infeksi Saluran Pernapasan Akut (ISPA) dengan menerapkan Metode Fuzzy K-Nearest Neighbor Jeffrey Simanjuntak; Edy Santoso; Marji Marji
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

Acute Respiratory Infection (ARI) is an infection of the respiratory tract, this respiratory disease causes symptoms such as cough, cold, and fever. Acute Respiratory Infection disease can be very dangerous, ARI will spread throughout the respiratory system if not treated quickly. Groups of people who are susceptible to this disease are those who have weak body divine power, namely those who have immune system disorders, people with old age, and children. ARI can easily attack children because children have an immature immune system. In this study, the Fuzzy K-Nearest Neighbor algorithm is used on the system for classify ARI diseases. In this study, Acute Respiratory Infection was classified into mild Acute Respiratory Infection and severe Acute Respiratory Infection. The clarification process in this research consists of normalization, Euclidean distance, then Fuzzy K-Nearest Neighbor classification. The results of the test using 10 test data and 50 training data, obtained an accuracy of 90% at K = 10, then tested the effect of the K value on the accuracy at K between 2 to 10 with the highest result at K = 7 which is 90%. The accuracy value obtained by the system remains the same until K = 10, which is 90%.
Evaluasi Proses Bisnis Sistem Peminjaman Ruangan Online menggunakan Metode Quality Evaluation Framework (QEF) (Studi Kasus PT. Omah Pioner Ngalam) Wildan Dery Rahadi; Buce Trias Hanggara; Nanang Yudi Setiawan
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

PT. Omah Pioner Ngalam or Ngalup Coworking Space is a company engaged in online space rental. The main business process running at Ngalup.co at this time is the process of borrowing space that runs online by consumers to companies. There are several problems with this online room borrowing system at Ngalup.co, among others, potential customers when they want to rent a room online still have to ask again regarding the implementation time available at Ngalup.co because there are several SOPs that have not been implemented by the party. company to enter data on which dates have been ordered by other customers. To be able to find out the current business process flow used the Busisneess Process Model (BPMN) method with the results of current business process modeling, then it is necessary to evaluate using a method, namely the Quality Evaluation Framework (QEF) with the results that there are three quality factors not in accordance with the code Q1, Q4, and Q9 and Root Cause Analysis (RCA) produces root causes that cause the business process to be obstructed.
Pengembangan Aplikasi Pengelolaan Rekam Medis Obgin berbasis Web (Studi Kasus : Rumah Sakit Umum Daerah Kota Malang) Ibnu Rakha; Agi Putra Kharisma; Ratih Kartika Dewi
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 Obstetrics and Gynecology Medical Record Manager application is a system aimed at doctors and midwives to help manage obstetric patient data along with storing medical records of patients who have already performed examinations. In the patient examination process, doctors and midwives carry out initial assessments and patient medical assessments. The assessment consists of a physical examination, examination of vital signs, history taking, and diagnosis as well as follow-up that must be done. Doctors and midwives will fill the patient's needs during hospitalization consisting of elimination needs, fluid needs and rest needs. This application takes a case study at the Malang City Regional Hospital. development of obgin medical record application which begins with the analysis stage to the testing stage with an object oriented approach. Obtained 74 functional requirements and 1 non-functional requirements. At the implementation stage using laravel. In unit testing, 3 test cases were taken with 100% valid results. Validation testing was tested on 74 test cases obtaining 100% valid results. Compatibility testing was tested on 2 different browsers, devices, and operating systems with the results running smoothly.
Optimasi Kombinasi Bahan Makanan untuk Meningkatkan Imunitas dan Pencegahan Dini Tertular Covid-19 pada Usia Dewasa Muda menggunakan Algoritma Genetika Anggi Novita Sari; Imam Cholissodin; Bayu Rahayudi
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 pandemic is a new virus that attacks the body's immunity, various steps and efforts have been made to prevent transmission of the virus. The problems experienced are that the spread of Covid-19 is very fast, lack of exercise and high stress levels can weaken the body's immunity, and a poor diet can worsen the body's immunity. And there is no computer-based system to determine the combination of food ingredients as a form of early prevention of contracting Covid-19. The Ministry of Health provides an appeal for the fulfillment of balanced nutrition to increase body immunity so that it can reduce the risk of chronic diseases and infections with optimal nutrition to build or improve the body's immunity to work properly. In solving optimization problems, genetic algorithms can be used, which are effective in solving optimization problems with chromosomal variations obtained through the basis of biological evolution with a wide search space, so that they are not trapped in the local optimum. This study provides recommendations for food ingredients that can be consumed for 2 days and in consultation with nutritionists. Based on the test, the most optimal results are obtained with a combination of the values ​​of cr 0,3 and mr 0,7 with an average fitness value of 0,848, a population size of 160 with an average fitness value of 0,917, and the number of generations 241 with an average fitness value of 1,076. And can save expenses by 33% in a day with an average cost of Rp26.800 for men and 42% for women with an average cost of Rp23.350.
Pengembangan Kecerdasan Buatan Objek NPC pada Micro-Games: Karting menggunakan Finite State Machine Unity Muhammad Azzam Al-Ghifari Habiburrahman; Muhammad Aminul Akbar; Tri Afirianto
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

Video game development is a process of making a video game through many ways, and one of them is through game engine. Game engine is a tool to develop a video game without building its foundation first, because in many game engine, there is already many function that developer can easily understand and use. One of the most used and most popular game engine is Unity. Unity can provide a way to develop a video game through a template that fasten the development process. One of this template is Micro-Games Karting that can be downloaded directly at Asset Store Unity. This template already has many assets that developer can use, but there is still not available artificial intelligence to use for the non-playable character (NPC) model. To overcome the said problem, therefore the development of airtificial intelligence employing Finite State Machine decision making method is being developed. The artificial intelligence is a representation of the behavior of the drivers in racing in the real world. The artificial intelligence is tested with two type of tests, namely functional testing with the black box method and performance testing. The functional test results show that the artificial intelligence developed for NPCs using the Finite State Machines method has functionalities that are all valid in black box testing, and the performance test results shown by the NPCs when run have a good performance related to the ability to avoid collisions.
Analisis Sentimen Twitter menggunakan Metode Naive Bayes dengan Relevance Frequency Feature Selection (Studi Kasus: Opini Masyarakat mengenai Kebijakan New Normal) Kresentia Verena Septiana Toy; Yuita Arum Sari; Imam Cholissodin
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

COVID-19 first appeared in wuhan, China and spread around the world. The virus spread very rapidly, including in Indonesia. The Indonesian government seeks to implement policies to suppress the COVID-19 case increase. Implemented policies have a new impact on communities, such as job downsizing, layoffs of work relationships and other effects on the country's economy. Consequently, the government adopted a new policy called new normal. New normal has become a topic of debate among the public on twitter's social media. Public opinion can be classified into positive, negative, and neutral opinions and require analytic sentiments. The sentiment analysis process is based on pre-processing for opinion processing, Relevance Frequency Feature Selection to reduce the number of features, and the classification using Naive Bayes methods. The dataset is 300 public opinion data, with the distribution of data using k-fold validation in k=5. The results of 5 tests using Naive Bayes classification, obtained an average accuracy of 62,6%, while the results of classification accuracy tests with the addition of Relevance Frequency Feature Selection obtained an average accuracy of 65,3%.
Pengembangan Sistem Pengelolaan Aset Fakultas Ilmu Komputer Universitas Brawijaya Anggi Wiyani Putri Nasution; Tri Astoto Kurniawan; Denny Sagita Rusdianto
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

FILKOM has total assets of 15,416 items in 2018 within FILKOM. Asset management has several activities such as proposal for procurement of goods, procurement of goods, receipt of goods and movement of goods. Asset management carried out by FILKOM often has incosistency in its records so that the goods are often not found or goods are found but the information is not known. In addition, the problem of asset management activities that do not follow the terms of the Standard Operational Procedure (SOP) in the activity movement of goods the probability of finding lost items is getting lower. In addition, lecturers and staff who have the authority to apply for procurement of goods cannot even know that their request has been approved or rejected if they do not enquire. Not only that, information regarding the procurement of goods and receipt of goods is also not known clearly or transparently. A web-based Asset Management System was developed to solve these issues. The development of this system using the Waterfall model with an object-oriented approach. This system has been tested using unit testing, integration and validation. Unit and integration testing using whitebox testing and validation testing using blackbox testing. The results of the test get 100% valid for all the tests.
Rekomendasi Aksi Saham dengan Pendekatan Teknikal pada PT Telekomunikasi Indonesia Tbk (TLKM) menggunakan Algoritme Learning Vector Quantization (LVQ) 2.1 Tri Kurniawan Putra; Sigit Adinugroho; Randy Cahya Wihandika
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

Stocks is a tool for buying or selling transactions in the capital market. In trading, the investor always wants profits that have low risk of failure. Therefore, an analysis is needed to get recommendations that support the stock. The results of the analysis will provide recommendations that can be used by investors to buy shares, wait, or sell their stock. Classification algorithm can used for analysis, one of them is Learning Vector Quantization. The technical approach factors that become parameters in this study consist of opening price, highest price, lowest price, closing price, volume, adj. closed, and the proportion of changes. In this study, the researcher used the Learning Vector Quantization (LVQ) 2.1 algorithm. The process starts with the initialization of data input. Then do the normalization process. Determine the winning network, update its weight and reduce the value of α, until it reaches a certain epoch or value. Tests was performed using several parameters to determine the effect of those parameters on accuracy. The best test was obtained by using training data as much as 175 training data, the value of learning rate is 0.1 and 1000 iteration produced an accuracy value of 63.64%.
Perancangan User Experience Aplikasi Pemantau Kesehatan pada Lansia menggunakan Metode Human-Centered Design Saarah Dina Wahyuningtyas; Lutfi Fanani; Adam Hendra Brata
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 eldelry is a person aged 60 years or older (Republik Indonesia, 1998). They have different body conditions from adult humans in general. As stated in (Kementerian Kesehatan RI, 2013), the complications are usually suffered by the eldelry are hypertension, stroke, diabetes, arthritis or rheumatism. The tardiness of treatment conduces in other system disruption and decreases daily activities (Naryani P & Kartinah, 2009). Therefore, a great family role is required so that the elderly can spend the rest of their lives greatly and increase their life expectancy. The use of elderly health monitoring application can assist the family in providing health services. This study aimed to design a user experience on the elderly health monitoring application, so it is expected to provide comfort. The method used to design the user experience of the application is Human-Centered Design, while the evaluation used a heuristic evaluation involving 4 assessors. In this study, the evaluation of the solution design went through 2 stages, the first evaluation stage was finding problems, then the second stage was a consolidation process to discuss the answers obtained from each evaluator into a single unit. The evaluation results obtained 22 problems, where these problems will be repaired based on the highest to the lowest severity ratings.
Evaluasi dan Perbaikan Usability Situs Web Niagara Rafting dengan menggunakan Metode Heuristic Evaluation Fadillah Dwi Wicaksana; Buce Trias Hanggara; 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

Niagara Rafting is a website developed by Niagara Adventure to display a profile of Niagara Rafting and find out what products and services are offered. Based on the results of interviews with users, it is known that there are problems related to usability aspects, namely learnability and satisfaction. Since the first time the website released, the evaluation carried out by Niagara Rafting was limited to the functionality and did not pay attention to the usability aspect of the user interface to overcome the usability problems that were found. Heuristic evaluation is a method for conducting usability testing properly because it involves an expert who has a deep understanding of usability as an evaluator in this study. Each usability problem found will be given a severity rating from 0 to 4. There are 2 stages of heuristic evaluation, namely early stage heuristic evaluation and late stage heuristic evaluation. The initial heuristic evaluation carried out an assessment of the original object, namely the Niagara Rafting website and found 18 usability problems. Recommendations for improvement are made in the form of a high-fidelity prototype by taking into account the recommendations provided by the evaluators and guidelines. The final heuristic evaluation carried out an assessment of the improvement design resulting in 3 usability problems and there were old usability problems, but the severity rating value was reduced from 4 to 2 and from 2 to 1.

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