Antivirus : Jurnal Ilmiah Teknik Informatika

DATA SECURITY SCHEME WITH A COMBINATION OF ADVANCED ENCRYPTION STANDARD (AES) AND RIVEST SHAMIR ALDEMAN (RSA) ALGORITHMS

2024-12-30T16:47:07+07:00

The rapid development of data drives the need for security in the data transmission process, with the aim of preventing access by unwanted parties to view the contents of the data sent. In order to achieve an optimal level of security, one of the strategies used is the application of cryptography. Cryptography using the Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) algorithms separately has often been used to protect the security of messages, whether in the form of text or digital images. This research will utilize a combination of the AES and RSA algorithms. This merger aims to ensure that the RSA algorithm can play a role in encrypting secret keys, while the AES algorithm is used to secure the original text (plaintext). The sender will receive the private key, encrypted secret key, and ciphertext. The recipient decrypts the secret key first using the RSA algorithm, and after obtaining the secret key, decrypts the ciphertext using the AES algorithm along with the previously decrypted secret key. It is hoped that this research will provide better security for sending information because the process of reading the contents of a secret message must go through both combination algorithms.

DESIGNING UI/UX DESIGN OF MOBILE APPLICATION AT SOLARIA RESTAURANT USING LEAN UX METHOD

2024-12-30T20:46:13+07:00

The rapid development of information technology encourages companies in various sectors to adopt mobile applications to improve customer experience and operational efficiency. Solaria, a leading fast food restaurant in Indonesia, needed to design an optimal user interface (UI) and user experience (UX) for its mobile application. This research aims to design the UI/UX of the Solaria app using the Lean UX method. The research method involves several stages: customer interviews and questionnaires to understand user needs, wireframes and initial prototypes, testing and iteration based on user feedback, and final evaluation of the refined prototype. The result of this research is a relevant and user-friendly design. This research is expected to serve as a reference for mobile application developers to be able to make a full application.

APPLICATION OF DIJKSTRA'S ALGORITHM IN DETERMINING THE SHORTEST ROUTE TO MRICAN LANDFILL

2024-12-30T16:46:23+07:00

This research explores the implementation of Dijkstra's Algorithm to determine the shortest route in waste management, particularly from Temporary Disposal Sites (TPS) to the Mrican Final Processing Site (TPA). With advancements in information technology, determining an efficient waste collection route is crucial for reducing operational costs, travel time, and fuel consumption. This study utilizes historical data and current road conditions to simulate routes, addressing challenges such as traffic congestion and unpredictable road conditions. Dijkstra's Algorithm has been proven effective in previous studies in transportation and logistics contexts, and is thus adopted in this study. The results show that applying this algorithm can enhance waste transportation efficiency, providing practical solutions for TPA Mrican management to optimize collection routes, reduce operational costs, and improve collection time efficiency.

SENTIMENT ANALYSIS ABOUT UNHAN RI THROUGH TWITTER SOCIAL MEDIA

2024-12-30T16:46:04+07:00

This study aims to determine public opinion regarding Universitas Pertahanan Republik Indonesia (UNHAN RI). As a new university, responses regarding public opinion need to be carried out so that the university can provide better services and educational programs. To see the public response to UNHAN RI, a Machine Learning method is used, namely Naïve Bayes. This Naïve Bayes modeling can help to classify public sentiment analysis towards UNHAN RI. By Naïve Bayes modeling, an accuracy value of 60.78% was obtained with three classification results, namely positive, negative, and neutral. The largest classification results were obtained in the positive class of 60.8%, the neutral class of 33.3%, and the negative class of 5.9%..

APPLICATION OF THE LARAVEL FRAMEWORK IN THE DEVELOPMENT OF A WEB-BASED INFORMATION SYSTEM FOR BIOPHYSIO PHYSIOTHERAPY CLINIC

2024-12-30T16:45:40+07:00

Healthcare services particularly in the field of physiotherapy, play a crucial role in the recovery of patients with movement and functional impairments. The Biophysio Physiotherapy Clinic faces challenges in managing patient data, scheduling therapy sessions, and tracking patient progress as the number of patients increases. To address these issues, this study developed a web-based information system using the Laravel Framework, known for its flexibility. The Rapid Application Development (RAD) method was employed in the development of this system, involving iterative user feedback. The testing results demonstrate excellent system performance in terms of speed and responsiveness, with a 95% score on Google PageSpeed Insights, and effective handling of workload as evidenced by load testing results. In the load testing, the average response time for login requests was 6483 ms, while for admin requests, it was 1803 ms. The throughput reached 0.06 requests per second for login requests and 1.42 requests per second for admin requests. With stable response times and no errors during testing, this system is ready for implementation and is expected to improve the operational efficiency of the clinic while providing a better user experience. The Biophysio Physiotherapy Clinic's Web-Based Information System successfully passed both performance testing and load testing

ANALYSIS OF USER ACCEPTANCE TESTING ON A SHIPPING APPLICATION TO DETERMINE THE QUALITY OF THE SYSTEM

2024-12-30T16:45:21+07:00

An application is a type of software or program that runs on a system. It can be either a computer or mobile device[1]. Applications should be tested all the way to the end user in order to have a clear understanding of the actual user and their experience with a product through feedback from customers who have had first hand experience with the product[2]. Also, it is necessary to include user acceptance testing as it brings end users of the system to test functions within the system as to whether there is proper working of the features and if the user’s needs are catered for[3]. Therefore, the aim of this study is to evaluate the testing of the developed goods delivery system application among its end users with special focus on user acceptance testing. User acceptance testing is applied in this case using open beta testing. The searching aim is to test the interface of the goods delivery system application using user acceptance testing and later establish the accuracy of the testing of the system application. The data collection method was performed using interviews, observations, literature study and documentation which enabled effective data collection. The research was done through questionnaires which were sent to the end users with a sample size of 50 respondents. The dissemination of questionnaires is necessary as the first task of any testing activity using the User Acceptance Testing. The research on application testing processes using the User Acceptance Testing method and its aspects achieved a per cent accuracy level of 85% and testing decision resultant as “Agree” of 213.5.

ANALYSIS OF ONLINE TRANSPORTATION CUSTOMER SATISFACTION WITH THE APPLICATION OF TEXT CLASSIFICATION USING KNN METHOD

2024-12-30T16:45:07+07:00

Gojek merupakan transportasi online yang memanfaatkan aplikasi untuk melayani Pengguna (masyarakat). Layanan aplikasi Gojek memiliki layanan yang terbatas pada ojek online. Perkembangan pada jasa layanan didukung dengan pembayaran transaksi non tunai (GoPay), untuk mempermudah trasaksi para pelanggan. Untuk mengklasifikasikan kepuasan pelanggan digunakan metode K-Nearest Neighbor (KNN). Dalam penelitian ini, penggunaan metode KNN dipilih karena sederhana dan intuitif, cocok untuk data teks, dapat menangani data tidak seimbang, dan memiliki kemampuan untuk mengatasi data baru. Selain itu, KNN juga dapat digunakan sebagai baseline yang cukup baik dalam membandingkan performa dengan metode-metode lain dalam klasifikasi kepuasan pelanggan transportasi online berdasarkan ulasan atau komentar. Web yang dibangun menggunakan library dari python yaitu streamlit. Dataset yang digunakan dari penelitian ini adalah data hasil scraping ulasan gojek dari google play store sebanyak 4000 ulasan. Pengujian dilakukan mengambil salah satu ulasan terbaru bintang 1 dan salah satu ulasan bintang 5 yang relevan, Hasil yang didapatkan menunjukan bahwa ulasan tersebut dapat di klasifikasi sebagai puas dan tidak puas dengan nilai akurasi 84,08%.

ENVIRONMENTAL SENSING AS IOT-BASED TEMPERATURE, HUMIDITY, AND GAS INFORMATION USING ESP 32

2024-12-30T16:44:04+07:00

Current weather conditions in technological developments and climate change are a challenge to create safe and suitable conditions for carrying out activities both outdoors and indoors. The impact of climate change is that the research aims to create a monitoring and awareness system in work environment conditions and teaching and learning activities at the tertiary level. Objective: By utilizing technology that is currently mushrooming, such as IoT, to increase awareness of the importance of temperature, humidity and air quality in a room for teaching and learning activities and other activities in order to create a healthier work environment. Method: The method used is a wireless sensor network where sensors will read physical changes that occur such as methane and LPG gas anomalies, as well as changes in extreme temperature and humidity. Then the data that has been read is sent via ESP32 with an internet network connection to Blynk Cloud as universal monitoring between users and a personal dashboard which is used as a server to track history. Results: the results obtained with a sampling data collection period of approximately one hour, the condition of the room used for testing the DHT 22 sensor, and MQ2 indicated that there was no methane gas, or LPG contained in the room, indicated by ppm <300, as well as changes in temperature which were relatively stagnant did not occur in extreme changes where the average temperature obtained was 26.5˚C. The results from the humidity sensor showed that the room humidity was an average of 77.8%. These results can be interpreted as meaning that the room is still in a safe and comfortable condition for carrying out activities.

DEVELOPMENT OF INFORMATION SYSTEM E-ARCHIVES OF INCOMING AND OUTCOMING LETTERS (PT. SUMBER KALIMANTAN ABADI – SIDOARJO)

2024-12-30T16:44:48+07:00

Sumber Kalimantan Abadi Sidoarjo has many administrative documents, including incoming and outgoing letters. However, the manual archiving process currently in use is prone to loss, duplication, or unconfirmation. To address this issue, the company has developed an e-archive system that is easily accessible and helps the document archiving process in a structured and detailed manner. The creation of this system involved field data collection, problem analysis, database design and system design, as well as system testing. Available features in this system include uploading physical evidence for incoming mail data, statistics, and notifications for confirmation. This system is designed to facilitate the archiving process and be accessed by company employees. The results of this study include systems that can replace manual filing with a computerized system, manage mail numbers automatically, manage notifications as confirmation of approval, manage incoming and outgoing mail of various types, and facilitate the process of printing outgoing letters in the form of softfiles or hardfiles.

IMPLEMENTATION OF SUPPLY CHAIN MANAGEMENT AT GRAHA PHONE SERVICE WEB-BASED

2024-12-30T16:44:34+07:00

Graha Phone Service Store, which is engaged in the sale and repair of mobile phone devices, faces various challenges in stock management and spare part distribution. The problems faced include sub-optimal stock management, which can lead to overstocks or shortages, uncoordinated distribution, as well as less than optimal information on goods between stores and suppliers. To overcome these problems, a web-based Supply Chain Management (SCM) implementation is needed. SCM will help manage the flow of goods, information, and services efficiently from suppliers to consumers. This research aims to develop a web-based SCM system to digitally manage spare part stock, enable integration of store inventory with real-time supplier stock management, and build better communication between stores and suppliers. Based on the research results, this system can optimise supply chain management and improve customer satisfaction through better service

APPLICATION OF SIMPLE ADDITIVE WEIGHTING (SAW) METHOD FOR DETERMINING SUITABLE COLLEGE FOR STUDENTS OF NATIONAL ALIYAH SCHOOLS

2024-12-30T16:43:30+07:00

One in the field of services and services. Make-up services exist to meet the make- up needs of various events, helping women to be more confident and special on their special days. In Bekasi, there is one facial makeup artist who offers her services, namely Syifa Beauty. However, in terms of marketing, this service still uses manual methods, so promotions and information obtained by potential customers are limited. The information system for make-up service providers is designed as a meeting medium for make-up service providers and potential customers with the help of technology. The purpose of this system is to facilitate Make-Up service providers in carrying out promotions and to reduce promotional costs. The system will display examples of service results, prices, and group them into several categories so that potential customers will be free to explore and determine the services they will order. Therefore, a system was developed that can assist the ordering process for customers and provide information on the services provided by Syifa Beauty. The method used in this research was observation and interviews. The system development method used is Rapid Application Development (RAD) using the PHP programming language and Mysql and UML databases as the design process. This research produces a system that can order makeup services via the website and can see what services are provided and the prices of each makeup service available at Syifa Beauty

ANALYSING THE EFFECT OF PPDB WEBSITE QUALITY ON USER SATISFACTION USING MULTIPLE LINEAR REGRESSION

2024-12-30T16:43:11+07:00

In today’s digital era, many individuals rely on websites to quickly and efficiently obtain information. Vocational High Schools (SMK) are not left behind in leveraging modern technology through the website-based New Student Admission System (PPDB). While this system offers convenience, crucial questions arise regarding the quality of the PPDB Bersama website and its impact on user satisfaction. This study aims to analyze the effect of website quality on user satisfaction at SMKS 28 Oktober 1928 II. Utilizing the Webqual 4.0 method, the research identifies three independent variables: usability, information quality, and interaction quality, with user satisfaction as the dependent variable. Data processing was conducted using Excel and SPSS. The results indicate that all independent variables significantly contribute to user satisfaction. The coefficient of determination (R²) of 0.813 suggests that 81.3% of user satisfaction can be explained by these variables, while the remaining percentage is influenced by other factors. These findings affirm that the quality of the PPDB Bersama website has a significant positive impact on user satisfaction at SMKS 28 Oktober 1928 II, highlighting the importance of enhancing and maintaining platform quality to support better educational processes.

DECISION SUPPORT SYSTEM FOR IDENTIFYING CHILDREN WITH SPECIAL NEEDS USING THE CLUSTER ANALYSIS METHOD

2025-03-10T04:48:02+07:00

This research aims to develop a decision support system based on the K-Means Clustering method aimed at parents in recognizing the signs of children with special needs. Many parents do not understand the characteristics of children with special needs, causing delays in providing appropriate support and treatment [1]. This system functions to group children's data based on measurable characteristics, such as behavior patterns, cognitive abilities, and motor development, making it easier for parents to recognize children's needs more objectively. The K-Means Clustering method is used to group children's data into several clusters, each of which shows a certain pattern and level of special needs. The system is developed using MATLAB [3], with intuitive visualization results to help parents understand their child's condition. Thus, this system is expected to provide initial recommendations and encourage parents to consult further with professionals. Experimental results show that this system is able to classify data accurately and provide useful information as a first step for parents in recognizing their child's special needs.

Implementation of Naïve Bayes and Certainty Factor Methods in Expert System for Early Diagnosis of Dental and Oral Diseases

2025-02-11T08:18:45+07:00

Gigi dan mulut merupakan bagian tubuh yang sering kurang dijaga kesehatannya. Penyakit gigi dan mulut sendiri sering dianggap sepele oleh masyarakat, padahal jika tidak segera ditangani maka dapat menyebabkan penyakit jantung dan stroke. Jumlah penyebaran dokter gigi dan mulut yang tidak merata menyebabkan masyarakat sulit untuk dapat memeriksakan kesehatan gigi dan mulut. Oleh karena itu, diharapkan dengan adanya penelitian ini dapat membantu masyarakat khusunya yang tidak terjangkau oleh seorang pakar gigi dan mulut untuk dapat mengetahui diagnosa awal penyakit gigi dan mulut yang diderita serta saran yang dapat diberikan. Pada sistem ini digunakan metode dalam proses diagnosanya, yaitu metode naïve bayes – certainty factor. Naïve Bayes sendiri diterapkan untuk mencari nilai probabilitas tiap gejala terhadap suatu penyakit sedangkan metode certainty factor digunakan untuk menentukan nilai keyakinan dari penyakit yang telah diketahui dari hasil nilai bobot yang diberikan oleh pakar dan bobot oleh pengguna. Data yang digunakan pada sistem ini terdapat 10 jenis penyakit dan 44 gejala penyakit gigi dan mulut. Proses Pengujian sistem ini dilakukan 2 tahap yaitu blackbox testing dan uji akurasi sistem. Hasil dari uji akurasi sistem diperoleh akurasi sebesar 95% dari 20 data uji manual yang dilakukan oleh pakar.