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Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware Products, Software Products, IT Security, Mobile, Storage, Networking, and Review An application service. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
Search results for , issue "Vol 7 No 2 (2023): APRIL-JUNE 2023" : 20 Documents clear
Analisis Perbandingan Algoritma Machine Learning Terhadap Sentimen Analis Pemindahan Ibu Kota Negara Arif Rahman Hakim; Windu Gata; Alda Zevana Putri Widodo; Oky Kurniawan; Arief Rama Syarif
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.701

Abstract

The Indonesian nation was enlivened with news about the relocation of the State Capital (IKN). The government's plan to move IKN is based on Indonesia's vision and mission in 2045, namely advanced Indonesia. Twitter is one of the microblogging communication tools used to express opinions. Various algorithms have been used to analyze sentiment towards an opinion such as Support Vector Machine, Naive Bayes and Random Forest. This study aims to compare the performance of three classification algorithms, namely Support Vector Machine, Naïve Bayes and Random Fores. The highest accuracy results are using the Support Vector Machine algorithm and added with the Synthetic Minority Oversampling Technique Method (SMOTE) feature of 82.82%, Precision 79.34%, Recall 88.75%, 87.78% and ROC AUC 82.82%. Naive Bayes accuracy is 81.18%, Precision 84.89%, Recall 75.86%, 80.13% and ROC AUC 81.18%. and Random Forest accuracy of 79.55, precision 84.48%, recall 72.39%, 77.97% and ROC AUC 77.55%.
Analisis Sentimen pada Komen Twitter Pawang Hujan Mandalika dengan Support Vector Machine (SVM) dan Naïve Bayes Rahmat Satria Buana; Windu Gata; Alda Zevana Putri Widodo; Hendra Setiawan; Khairunisa Hilyati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.705

Abstract

Indonesia is a country with a majority Muslim population, but Indonesia is also rich in culture influenced by previous religions such as Hinduism and Buddhism. The rain handler by Muslims is considered shirk, but on the other hand also considers this ancestral culture that has always existed. With the advancement of human technology, it is easier to express opinions or opinions regarding a topic that is currently being discussed, for example, regarding the rain handler who acted at the Mandalika Circuit some time ago through social media. Twitter is one of the social media that is used as a forum to accommodate these opinions. In this study, the CRISP-DM (Cross Industry Standard Process for Data Mining) data mining methodology was used with Rapid Miner Version 9.10 with the Support Vector Machine (SVM) classification method and nave Bayes with SMOTE to improve accuracy. The application of the SVM method is 97.71 % with AUC 0.997 Positive Comments, and Using Naïve Bayes, the accuracy obtained is 93.41% accuracy with AUC 0.973 Positive Comments.
Implementasi Algoritma K-Means untuk Pengelompokkan Lama Sembuh Pasien Covid-19 Nadya Octavianna Lompoliuw; Hindriyanto Dwi Purnomo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.706

Abstract

COVID-19 (coronavirus disease 2019) is a disease caused by infection with the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). COVID-19 can cause disturbances in the respiratory system, ranging from mild symptoms such as flu, cough to lung infections. The spread of this virus is still happening, therefore the purpose of this study is so that the public can find out more information about COVID-19, one of which is the recovery time for COVID-19 patients consisting of 4 clusters, which are very long, long, fast, and very fast. judging by the length of the recovery. Grouping the recovery time of COVID-19 patients based on age, positive date and negative date using the K-Means Algorithm. The K-Means algorithm is an iterative grouping that partitions the data set into a number of K clusters that have been determined in the initial data. Of the 4 clusters that have been determined, the results obtained are cluster 1 (very long) which is the cluster that has the longest recovery time, which is 41-48 days with ages 31 and 48 years. It can also be seen based on the symptoms experienced at each different age, on average all experience symptoms of fever and cough.
Analisis Sentimen Dengan Metode Naïve Bayes, SMOTE Dan Adaboost Pada Twitter Bank BTN Kurnia; Indah Purnamasari; Dedi Dwi Saputra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i3.707

Abstract

Social media has become a means of sharing information with each other, from being a means of promotion to being used to spread opinions. Because of the ease of technology, anyone can access social media and comment on issues that are being discussed. Branding image is also an important thing, because people can interact directly through social media, be it support or criticism. So this study was conducted to analyze the sentiment on twitter towards Bank BTN as a bank that has long focused on housing loans. To analyze the sentiment, an experiment was carried out by a combination of SMOTE, Naïve Bayes and Adaboost algorithms. Before calculating the algorithm, stemming and stopwords are carried out so that the data used does not contain noise. The results showed that the combination of SMOTE, Naïve Bayes, and Adaboost showed the best modeling results with an accuracy of 87.05%, precision of 90.63%, recall of 83.00%, and AUC of 0.909.
Pengembangan Modul Inventory Management pada Aplikasi Master Distribution Centre System Menggunakan Framework Flask di PT XYZ Andre Josiah Budianto; Pratyaksa Ocsa Nugraha Saian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.714

Abstract

PT XYZ is a retail business with over 15,000 outlets. Along with the development of information technology, every retail business must adapt to existing technological developments, including PT XYZ which requires new technology. PT XYZ already has inventory management system, but the system continues to increase operating costs every year. Therefore, PT XYZ needs to replace the old inventory management system with a web-based system using the Flask framework to reduce operating costs that continue to grow. This research was conducted in 4 stages, namely analysis stage, design stage, coding stage and testing stage. The result of this research is inventory management module built using the Flask framework and information related to developing inventory management module. Based on the research conducted, an inventory management module was produced where this module successfully met the business needs as evidenced by the results of the Black Box tests and User Acceptance Tests performed.
Model Pengembangan Keamanan Data dengan Algoritma ROT 13 Extended Vernam Cipher dan Stream Cipher Yanuar Chris Milian; Wiwin Sulistyo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.716

Abstract

This research focuses on the importance of data security in maintaining confidentiality, particularly for sensitive and critical information that should only be accessed by certain parties. Cryptography is a mathematical method used to secure data. Several methods are available, including ROT13, Vernam Cipher, and Stream Cipher. This study combines these three methods to achieve a higher level of data security. The analysis shows that the combination of these algorithms results in a stronger and more complex encryption process than using a single method. The process involves encrypting plaintext using ROT13, followed by encrypting the result using Vernam Cipher with an inputted key, and then encrypting the output again using Stream Cipher. The advantages of this combination model include enhanced data security, as demonstrated by the three-stage encryption and decryption process.
Implementasi Flask Framework pada Development Modul Reporting Aplikasi Sistem Informasi Helpdesk di PT.XYZ) Bartolomeus Bima Santoso; Pratyaksa Ocsa Nugraha Saian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.718

Abstract

PT. XYZ is one of the leading minimarket retail companies in Indonesia. In business, problems often arise that must be resolved. Currently, problem solving is done by using applications built using Oracle Forms. However, the effectiveness and efficiency of the application is considered poor in terms of costs and the reporting process. In this study, the reporting module was developed on an existing application into a website using the Python Flask framework which is open source so that it can increase the effectiveness and efficiency of the module. The research method used is adapted from the Waterfall model stage where at this stage it starts from problem identification to system testing. The result of this research is a website that can be a place for storing information related to company problems. The results of the Black Box Testing test show that the system can function 100%, while the test results with a Likert Scale show 98.1% of potential users agree that the system can function as it should
Sistem Informasi Pengelolaan E-Billing Warga di Lingkungan RW 001 Kelurahan Rawajati Kecamatan Pancoran dengan menggunakan Framework CodeIgniter Dwi Juliastuti; Agung Triayudi; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.720

Abstract

For the formation of prosperous citizens, it is necessary to have good management in service to residents, one of which is the financial management of the Rukun Warga (RW) which contains community contributions for payment along with income and financial expenditure reports. This problem is currently being faced by residents and treasurers in the RW environment. 001 Rawajati Subdistrict, Pancoran Subdistrict, it is difficult to find data and payment reports that are not neatly arranged considering the large number of residents who make payments every day because the payment process is still very simple and you cannot see anything. It's just that fees that have been paid or those that haven't been paid, especially during this pandemic, people prefer to use digital transactions compared to manual or using cash. The benefits of this research, in the research methodology that will be carried out using methods of literature study, interviews, and observation. The author designs and builds a website-based accounting information system and the Codeigniter framework that involves 2 system users, namely residents and treasurer. Residents can view bills, make contribution payments, view the history of bills that have been or have not been paid, and reports on financial expenditures, namely the treasurer as a user who is currently inputting citizen data, citizen contribution billing data, and inputting financial expenditure reports. The results of this study can handle the entire process of recording administrative transactions from incoming fees incurred to preparing transaction reports to obtain more accurate information. The test results use the System Usability Scale (SUS) method with an average SUS score of 77.9 and it is certain that the respondents agree with the application of management accounting in RW 001
Penerapan Framework Flask pada Pembangunan Sistem Informasi Pemasok Barang Hana Louise Walingkas; Pratyaksa Ocsa Nugraha Saian
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.729

Abstract

The supply of goods is one of the important business process in every retail company, to ensure the stocks availability in each store. The slow and inaccurate and errors in the demand and receipt of stocks report are the interrupting factors in the supplying process, thus in this research an information system for supplier was built to make it easier for companies and suppliers in obtaining reports quickly and accurately. In this research, the process and stages of research are carried out sequentially from the system requirements analysis, planning and designing system, implementation, and system testing. The system was built in a web form using Flask framework and Python programming language. In the test conducted by potential users, the tested application received a good response with a percentage of 96.67% users strongly agree that the system can ease the supplying process. Based on the test results, it can be concluded that the information system for supplier built using the Flask framework is able to answer problems that occur in the supplying process
Pengembangan E-Restaurant Menggunakan Metode Scrum untuk Meningkatkan Kualitas Pelayanan Ali Rahman; Agung Triayudi; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.746

Abstract

The culinary industry is a business that is experiencing very fast growth. Technology simplifies all activities in management so that data presentation is faster and more accurate. The application of technology helps increase the effectiveness of the business processes being carried out. The restaurant business in using technology is needed to simplify the ordering process, submit data, process payments, make reports more innovative and efficient. This application was developed using agile method as needed which has many changes. This development simplifies the process of customer ordering and payment transactions for satisfaction with the service system provided so as to improve performance more effectively and efficiently.

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