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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 6,945 Documents
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Analisis Sentimen Data Tweets terhadap Penanganan Covid-19 di Indonesia menggunakan Metode Naive Bayes dan Pemilihan Kata Bersentimen menggunakan Lexicon Based Abdul Azis Adjie Sumanjaya; Indriati Indriati; Achmad Ridok
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

Twitter is a very popular social media platform in the current millennial era. Twitter is widely used as a means to express opinions and criticisms on issues that are currently being discussed. At the beginning of July the government had made efforts to handle COVID-19 in Indonesia by establishing a policy Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) Darurat. Such a policy is very necessary considering the spread of the COVID-19 virus is still high, especially in big cities. But on the other hand, the limitation of activities as part of the policy has a very large impact on the community, especially with the addition of the extension of the policy which makes people bored because they find it difficult to carry out activities. For this reason, this research conducted a sentiment analysis to see the tendency of public sentiment during the implementation Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) Darurat policy in Indonesia using the Naive Bayes classification method and the addition of the Lexicon Based feature. The provision of the Lexicon Based feature aims to filter sentimental words, so that data processing becomes faster. Based on the test results obtained, through the division of cross validation with the confusion matrix test, the accuracy is 0.75, precision is 0.76, recall is 0.76, and f-measure is 0.75. The use of the stopword feature has an influence on the classification results, because the use of the stopword feature can eliminate some of the terms resulting from the Lexicon Based feature which causes a reduction in term variations so that the accuracy results obtained are lower than without using the stopword feature.
Analisis Sentimen Twitter terhadap Kebijakan Pemberlakuan Pembatasan Kegiatan Masyarakat menggunakan Metode Support Vector Machine Dhimas Wida Syahputra; Bayu Rahayudi; Lailil Muflikhah
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

COVID-19 or Coronavirus Disease-19 is a virus that infects the respiratory tract with mild to severe symptoms. The government enforces a regulation, namely the Penerapan Pembatasan Kegiatan Masyarakat (PPKM) to reduce the number of positive COVID 19. Pros and cons occur among the community. People usually express opinions on social media, such as Twitter. So that the public can express a public opinion about government policies regarding PPKM. From the public opinion on Twitter, we can analyze the sentiment. Sentiment analysis is used to determine whether a comment is negative or positive. In this case, sentiment analysis determines public comments on PPKM regulations on Twitter social media. The Support Vector Machine (SVM) algorithm is used to find out the sentiment in tweet comments. There are 500 Twitter commentary documents with a comparison of training data and data of 80% and 20%. Parameter search was conducted with the best results on the degree kernel polynomial value 3, the learning rate value 0.0001, and the Complexity 1 value. The results of the K-Fold Cross Validation test using the best parameters, namely the average accuracy of 77.2%, precision 83.3%, recall 68.7%, and F measure 75.11%.
Pengembangan Aplikasi Perangkat Bergerak Sistem Informasi Event di bidang Teknologi Informasi berbasis Android Ilham Dwi Muchlison; Agi Putra Kharisma; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Information technology events are activities organized by a group that focuses on science in the field of information technology. Based on the results of a survey conducted to 103 people who have attended events in the field of information technology and are over 17 years old, the results show that 71.8 percent of respondents have experienced difficulties in obtaining information on events in the field of information technology with the desired topic. 78.6 percent of respondents have missed an event they wanted to attend before because they forgot it. 92.2 percent of respondents, they need an application where give the information in the field of information technology that includes category division and reminders of events to be attended. Therefore, an application was made that connects event organizers in the field of information technology with people who have an interest in the field of information technology. Applications are developed using the Kotlin programming language, data storage using Firebase services, and using architectural patterns in Clean Architecture. In black-box testing, the results are 100% valid. In compatibility testing, it can be seen that the application can be used on devices with the Android operating system with versions of API 23 to API 30. In usability testing with an alpha level value of 10%, the average actual value is 86.5 ± 4.5 for the application event finder and 89 ± 5.1 for the event organizer application which means the application can be received well.
Pengembangan Aplikasi Perangkat Bergerak sebagai Alat Bantu Pedagang Sayur Keliling dengan Ionic Framework Manggala Rezka Perdana; Adam Hendra Brata; Faizatul Amalia
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

Dipublikasikan di JTSiskom (Jurnal Teknologi dan Sistem Komputer)
Sistem Pengendali Kualitas Air untuk Budidaya Ikan Guppy berdasarkan Suhu dan Derajat Keasaman Air menggunakan Metode KNN (K-Nearest Neighbor) Rizky Widya Mahendra; Eko Setiawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia, which is an archipelagic country, is home to various types of fish, from edible fish to ornamental fish used to beautify a room. One of the most popular aquarium fish today is the guppy fish, so it's understandable that there are more and more guppy fish fans. Of course, currently guppy fish farming is a promising field of activity for current cultivators because of its high selling value. However, keeping guppy fish is not easy, because the quality of the water used in the guppy fish habitat must be maintained, otherwise the water quality will cause the fish to get sick. This condition can be caused because there are some cultivators who do not carry out routine maintenance for guppies. The most common mistakes are incorrect selection of the aquarium location which causes significant changes in water temperature, as well as improper water management which causes changes in water pH that are too high. So we need an automatic system that can control the condition of the water. By using the KNN (KNearest Neighbor) method, the accuracy value of K is obtained, the K value using K=3, K=5, and K=11 gets an accuracy value of 95%, while the K value using K=7 and K=9 accuracy of 100%, after KNN gets the results of the detection, these results will be useful for regulating the action of the actuator. The use of the system affects the development of guppies, for aquariums that use the system the growth of fish is faster than the aquarium that does not use the system..
Pengembangan Media Pembelajaran berbasis Gim Puzzle dan Quiz pada Pelajaran Pemrograman Dasar menggunakan Metode ADDIE Ngurah Pradipta Surya Mandala; Tri Afirianto; Retno Indah Rokhmawati
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

Basic programming is an important subject to be passed by Vocational High School students whose majors are technology and computer based. In basic programming itself, there are several basic competitions that students must understand, starting with students being required to know various types of programming languages, followed by writing program syntax, understanding data types and constant variables, etc. Learning basic programming requires a lot of practice which can train students to directly engage in programming, as was experienced by SMK National Media Center Malang who found the problem of lack of time to practice due to the Covid-19 pandemic. During the pandemic all teaching and learning activities are always carried out online. Online learning activities like this usually take place assisted by video call media. The existence of this distance constraint means that this learning path will be different from direct learning activities in class, in terms of the flow of material delivery or students' interest and motivation in receiving material.I develop a media that can help students understand Basic Programming lessons. This media will later be in the form of a game based on Android, with a puzzle quiz game style and a material module. This game media was designed using the ADDIE method of Analysis, Design, Development, Implementation, Evaluation. Game media testing will be carried out using 3 methods, namely, using Blackbox testing for the performance of game media functionality, followed by User Acceptance Testing (UAT) to measure the level of user acceptance with the media, and finally a Motivation Questionnaire to measure the level of student learning motivation after using the media.
Faktor Pengaruh Interaksi Aktif dalam Komunitas Online yang Disponsori Merek Dian Ika Fitriani; Diah Priharsari; Satrio Agung Wicaksono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Branded online communities are created by brands themselves in order to create a medium for marketing their products through interaction with brand enthusiasts. Unfortunately, not all brands can create an active online community that interacts, which can provide output for branding and brand sales. Researchers try to learn what factors influence the formation of a lively and active online community. The research was conducted by collecting data from the online community in the form of online text from the comments column. From the online text data, data analysis was then carried out using the literature driven coding method. Where this method refers to the coding process using a model framework obtained from two theories, namely Self Determination Theory and Self Disclosure Theory. The findings show that the five factors in the model framework, namely Relevance, Autonomy, Competence, Familiarity, and Valence, have a significant influence on the success of active interactions in branded online communities. The second finding, the researcher describes the presentation of the emergence of each factor and the factors obtained that have a dominant influence are Relationship by 25%, Competence by 22%, and Familiarity by 20%. The third factor shows the percentage of occurrences above the average. Through the results of this study, it is hoped that it can provide new perspectives and references in managing an online community for SMEs that are still developing.
Pengembangan Sistem Informasi Point of Sales (POS) berbasis Website untuk Manajemen Home Industry (Studi Kasus: Gelsey Real Surakarta) Safria Isnibaiti; Issa Arwani; Widhy Hayuhardhika Nugraha Putra
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

Gelsey Real Surakarta is a home industry that is engaged in the business of buying and selling clothes. The increase in the number of sales by up to 50% from the beginning of 2021 to the middle of 2021 which makes them need more effort because they are recorded manually or recorded. The amount of data that must be written, they often do a re-calculation in the middle of 2021, when the soaring demand for production of up to ±1000 orders per month creates sales results that are not balanced with the recording in the book. The small number of employees makes them do double jobs in the production and transaction departments. From these problems, Point of Sales (POS) information system was created for data management and sales transactions. The development of this system uses the Laravel framework and the programming language PHP, HTML, CSS, JavaScript and MySQL database. The tests used are functional testing, user acceptance testing and compatibility testing. Functional testing using a validation test results from this test obtained the results of 24 test cases which show all are valid. While the user acceptance testing test, the author submits a questionnaire with 18 total questions and the result is 91.11% where when adjusted to the Likert interval table, the examiner's assessment agrees with the questions in the questionnaire for information systems. The last test, namely the results of the compatibility testing test, shows that this system can be accessed by all web browsers. It can be concluded that the Point of Sales (POS) information system facilitates transaction management and also recaps data so that employees can minimize the occurrence of unintentional errors.
Sistem Identifikasi Penyakit Gagal Ginjal melalui Bau Mulut, Warna Urine dan Tekanan Darah dengan Metode Support Vector Machine Lia Safitri; Rizal Maulana; Eko Setiawan
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

The human body has a pair of kidneys that are shaped like the seed of a pea. Although it has a shape that is not so big, the kidneys have some crucial function in the human body. One of the functions of the kidneys is detoxification, which is removing metaboic waste that will become toxic if not removed from the body. One of the diseases that can attack the kidneys is kidney failure. Kidney failure is a condition when the kidneys cannot perform their functions and work properly. Kidney health should not be underestimated, then we need a system that can identify kidney conditions as early as possible to anticipate kidney damage in the human body. In this study, there are three parameters used to determine whether the kidneys are in normal condition or have kidney failure. First. To calculate the level of ammonia gas from bad breath with the MQ-135 sensor. Second, to calculated the RGB value of urine color using TCS3200 sensor and thridly, to measure blood pressure using the MPX5700AP sensor. These three parameters were choosen because they can beidentified using sensors. The data processing system in this system uses Arduino Uno. In addition, the selected classification method is support vector machine (SVM). After testing 10 times on 20 input training data. The level of accuracy of the test that have been done is 80% and the average computation time required is around 37.10 second.
Implementasi Algoritma Blake2s untuk Mekanisme Caching Key Value pada REST API Rifqi Raditya Wibowo; 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 development of information technology today has affected all aspects of human life. There is an exchange of information every second on the internet. RESTfull API / REST API describes the embodiment of the API (application protocol interface). The REST API has a weakness in terms of security standardization for accessing data on the REST server side, this causes anyone to access, edit and delete the data contained in the REST server.MD5 is a type of Cryptographically secure hashing which has a one-way hash function. MD5 is often used to store passwords, if the cracker is able to enter and change a secret website database and then the cracker performs attacks such as SQL Injection, DDOS so that it penetrates the database and gets the password in the form of an MD5 encrypted hash then it is easy to decrypt it into plaintext to get the password. which are actually.The BLAKE2S algorithm itself was released in 2012. The BLAKE2S algorithm is built with the HAIFA iteration which has resistance to generic attacks such as herding. The BLAKE2S algorithm has a better security level than SHA-256. This research implements the BLAKE2S Algorithm for the key value caching mechanism in the REST API. The test was conducted to measure the speed of the BLAKE2S Algorithm in processing key value caching. Testing is done by running a request on the REST API twelve times to measure the caching time. The test results show that the caching time on the BLAKE2S Algorithm has a faster time than the MD5 Algorithm with a time difference of 5.6 ms.

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