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INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 219 Documents
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Kajian Faktor - Faktor Pendukung Industri Rumahan Bangka Belitung Berbasis AHP Magdalena, Hilyah; Santoso, Hadi
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.38367

Abstract

This research was conducted in the Bangka Belitung region specifically observing what criteria could support and hinder the development of home industries. The home industry is a small-scale industry generally carried out in the family sphere and is driven by women. Home industries need to receive support from the provincial government to survive and increase the scale of production. To make support for home industries more targeted, this research summarizes several criteria related to the conditions of home industries and the businesses they run. In Bangka Belitung Province, several types of businesses are run on a home industry scale. Based on the condition of the home industry which has multiple criteria and multiple alternatives, this research uses the Analytical Hierarchy Process method and Expert Choice software as data processing aids. The data processing results show that industrial business is the highest alternative with a weight of 24.7% and the highest criterion is strategy at 23.7%. These results indicate that the largest portion of home industry business actors is engaged in the industrial sector and to encourage the progress of the home industry the most important factor is strategy, namely understanding the type of business they are involved in, labor-intensive industries, paying attention to production factors, electricity capacity, and business operations. The next stage is to design a user interface for a web-based system as a means of collecting home industry data.
Perancangan Sistem Informasi Penanganan Penyakit HIV/AIDS Berbasis Web Menggunakan Pemodelan UML Herawati, Rahma; Voutama, Apriade
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.44251

Abstract

The development of life in the present cannot be separated from the progress and sophistication of various technologies that move and run in balance towards better directions and benefits. One form of technological progress that occurs is the launch and creation of various websites in various fields including health. The website presented in this Journal is the Life Changing website. This website was launched and presented with a focus and context in which the information in it explains how to prevent the spread and transmission of HIV/AIDS. HIV/AIDS is a disease that attacks the human immune system. Human Immunodeficiency Virus that attacks the human immune system has an impact on the decline of the immune system which causes AIDS (Acquired Immune Deficiency Syndrome). The process of making this website uses several methods including: planning, system analysis, system development with UML modeling, and implementation. In the development of the system using UML modeling in order to describe the system to be designed using diagrams, which makes it easier for readers to understand the overall picture of the website handling & prevention of HIV / AIDS.
Perancangan Sistem Informasi Manajemen Risiko Rumah Sakit Berbasis Website Syabrullah, Andreas; Fibrian, Ivan Dwi; Syaikhuddin, Muhammad Miftakhul
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.44365

Abstract

Risk management was an effort to identify, prioritize, analyze, and reduce potential risks that could occur to patients, visitors, staff, and organizational assets. With risk management, hospitals could implement more effective decision-making to prevent undesirable events from occurring in providing health services. Rumah Sakit Ibu dan Anak Muslimat Jombang did not yet have an integrated risk management system. Risk recording was done manually, which raised various problems. Therefore, to facilitate data management, a system was needed that could make it easier for hospitals to manage risk management as a basis for decision-making. The aim of this research was to design a hospital risk management information system. The design was carried out using the waterfall method and with UML notation. The programming language used was PHP with the help of the Codeigniter framework, and the database used was MySQL. Testing of this system was carried out using blackbox testing. This information system produced 14 features in 19 menus, and the system could be accessed according to different access conditions. The result of this research was the management of hospital risk management using a hospital risk management information system. This system could be used by all hospitals because it was built based on applicable laws and regulations.
Implementasi Naïve Bayes pada Sistem Pakar untuk Deteksi Dini Penyakit Liver Asri, Windi Fahmi; Sanglise, Marlinda; Suhendra, Christian Dwi
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.34710

Abstract

Liver health is very important for the human body. The liver as an organ that has the main task of neutralizing toxins in the body makes toxins that have been entering through our bodies from food or the environment can be neutralized by the liver. Based on the results of interviews conducted online to dr. Felix who works at Bhayangkara Hospital, one of the problems that occurs in the medical world is that people who are not medically trained if they experience symptoms of liver disease do not understand the ways to overcome them or the solution. If ignored, liver problems can get worse and more difficult to treat. Therefore, to overcome these problems, development is carried out by creating an expert system that can detect liver disease early by implementing the Naïve Bayes Method on the expert system. The expert system was built using the Rapid Application Development (RAD) development method. By making a design consisting of use cases, activities, class diagrams, database design and user interface design. Implementation in this expert system uses the PHP programming language and MySQL database. After the system is successfully created, the system is tested using the blackbox testing method which shows that the functionality of the expert system is running well and testing the user acceptance test (UAT) by distributing questionnaires to respondents to get the percentage of feasibility of 76.7% with a suitable category for use
Pengembangan Aplikasi Mobile dengan Pendekatan Gamifikasi dalam Pembelajaran Matematika di Sekolah Dasar Bantun, Suharsono; Setyosari, Punaji; Ulfa, Saida; Praherdhiono, Henry; Sari, Jayanti Yusmah
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.43856

Abstract

This study aims to develop the mobile application with a gamification approach for elementary school mathematics learning. The mobile application is designed as an interactive and enjoyable learning tool to help students understand mathematical concepts. The gamification approach is used to enhance student motivation in learning mathematics through engaging game elements. The development process of the mobile application involves various features, such as learning materials, games, educational videos, and guides. The application was tested using black box testing and User Acceptance Testing (UAT). The research results indicate that the mobile application received positive responses from both teachers and students. The application assists teachers in teaching mathematics and improves students' understanding of the subject. With a high n-gain value (0.76, in the high category) from the pretest to post test, the mobile application has proven to be effective in enhancing students' understanding of mathematics. These research findings confirm that the development of the mobile application with a gamification approach is a positive step towards improving the quality of mathematics education at the elementary school level. Thus, the mobile application can be a valuable tool in supporting more interactive and effective mathematics learning at the elementary school level.
Analisis Sentimen Opini Publik Terhadap Konser Coldplay Di Jakarta Pada Twitter Menggunakan Metode Support Vector Machine Hidayatulloh, Fachmi; Andika, I Gede; Suryawan, I Wayan Dharma; Ariantini, Made Suci; Sudipa, I Gede Iwan
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.46046

Abstract

Advances in information and communication technology are changing the way humans obtain information. One of them is through social media Twitter. Twitter is a social media that is famous as a medium for general public opinion. There are many discussion topics that people respond to on Twitter. One of the topics on Twitter social media that is trending is related to the Coldplay Jakarta concert. The Coldplay Jakarta concert event received various responses from netizens. This is because the public is very enthusiastic about watching this British music group. However, public enthusiasm did not run smoothly due to the emergence of various phenomena and problems that occurred before and after this event was held. Therefore, the sentiments given are very diverse. Starting from negative sentiments to positive sentiments. The sentiment analysis process can find and solve problems based on public sentiment on Twitter. The dataset was obtained through a data crawling process using Google Colabs with the Python programming language. The total dataset obtained was 1,831 raw datasets. After that, the dataset is processed in data cleansing which aims to remove components that are not needed in sentiment analysis. Next, the dataset is labeled negative and positive. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using Term Frequency - Inverse Document Frequency (TF-IDF). After that, modeling was carried out using the Support Vector Machine classification method and the final process was test evaluation. The number of datasets obtained after going through the cleaning and labeling process is 1,000. The dataset is divided into training data and test data in a ratio of 80:20. The results obtained from the Support Vector Machine method show an accuracy percentage of 80.97%, precision of 81.59% and recall of 79.12. The sentiment test results from the test data were 107 positive and 93 negative
Metode Waterfall pada Rancang Bangun Sistem Informasi Profil UPT SDN Jeruk Tipis 3 Elisa, Eli; Salvina, Lydia Salvina
INFORMAL: Informatics Journal Vol 9 No 3 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i3.52334

Abstract

Advances in information and communication technology have supported human activities by providing easy access. Educational institutions must currently be able to take advantage of online media that can be accessed through smartphones or computers connected to the internet, one of the manifestations is the design of a school profile website. The school's website profile can be used as one of the media to support this goal. This Scientific Paper discusses the design of a school profile website using the WordPress platform. The design of this website profile uses a waterfall methodology which includes analysis, design, implementation and testing. In its design, Use Case Diagram and Activity Diagram are used. The testing process is carried out using the Blackbox Testing method. Included features include a profile menu, gallery, academic information, facilities, and contact information. The creation of a school website profile is expected to be an effective solution for schools in conveying various information to the general public, including prospective students, the surrounding community, students who are studying, parents, and other parties. Thus, all interested parties can easily access the latest and relevant information regarding the school.
Segmentasi Citra Tanda Tangan Menggunakan Fitur Titik SURF (Speeded Up Robust Features) dan Klasifikasi Jaringan Syaraf Tiruan hidayat, muhamad arief; retnani, windy eka yulia; Firmansyah, Diksy Media; Santika, Gayatri Dwi; Furqon, Muhammad ‘Ariful
INFORMAL: Informatics Journal Vol 9 No 3 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i3.53514

Abstract

Signature image classification is an important field of image processing. One of the stages of signature classification is segmentation. The segmentation process aims to detect image pixels that are part of the signature and separate them from text or logo pixels in a document image. There is a signature segmentation technique using interest points extracted using the SURF (Speeded Up Robust Features) algorithm [1] In this technique, a connected component pixel will be considered part of the signature if it has more SURF points in common with the database connected component pixel signature. Compared to the similarity with the database connected component non-signature pixels. This method is able to provide good accuracy results for signature pixel segmentation. However, the recall value is relatively low, namely 56%. This is because many connected component logos are considered as connected component signatures. In this study, signature segmentation was carried out using SURF points by adding two things: 1) using internal connected component characteristics as additional classification atributs: extent, solidity, ratio, and circularity 2) using an Artificial Neural Network classification algorithm to assist the segmentation process. The test results show that the proposed method improves segmentation quality by an average of 20.7% for an increase in accuracy, an average of 22.4% for an increase in precision, and an average of 18.6% for an increase in recall. When compared with the results reported in (Ahmed et al., 2012), the recall has increased by 38.3% - 42.8%
Perancangan Keamanan Menggunakan Mikrotik Dengan Metode Layer 7 Protocol Dan Proxy Server Qoyyimah, Diajeng Pipit Nurul; Amrulloh, Faishol
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.41882

Abstract

Security Design using Mikrotik with Layer 7 protocol and Proxy Server methods aims to enhance network security. In this design, Mikrotik will be configured as a firewall to filter and block unwanted internet traffic. Additionally, Mikrotik will also function as a router to manage internet traffic between the local network and the internet. In its implementation, the Layer 7 protocol method will be used to filter and restrict access to specific websites or applications, while the proxy server will be utilized to accelerate response times for repeated access requests and block access to undesirable websites or applications. The implementation of this design at SMK Darut Taqwa successfully blocked desired sites such as Facebook, TikTok, and Instagram, with the addition of filter rules to prevent any future site leakage. Furthermore, network administrators are able to control access to specific content.
Optimalisasi Layanan Keamanan Captive Portal Menggunakan Klasifikasi Logistic Regression Riadi, Imam; Fadlil, Abdul; Prabowo, Basit Adhi
INFORMAL: Informatics Journal Vol 9 No 3 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i3.44189

Abstract

Privacy has become a major concern with the rapid adoption of various smart devices and internet connections. The randomized MAC (Media Access Control) address for each device was implemented for privacy. Problems arose when implementing randomized MAC addresses on captive portals with connection limitations per user. Random classification by VOUI of the device used to assist the device elimination decisions in the captive portal. MAC address data was obtained from devices connected to the captive portal. The data is processed to be grouped into two separate classes, whether random or not, with four device Mac address threshold and four random percentage threshold. Logistic regression was used to determine the classification with the highest level of accuracy. Of the 16 experiments, it was found that all of them had an accuracy above 92%. The maximum accuracy of 95% was obtained in an experiment using a Mac address threshold of 6 and a random percentage threshold of 50%. This indicates that a value of 6 for the Mac address threshold and a value of 50% for the random percentage threshold can be used for random Mac address classification.

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