Garuda - Garba Rujukan Digital

IMPLEMENTASI FRAMEWORK FLUTTER APLIKASI PEMBUKUAN PENGHASILAN TOKO RUMAH REZEKI KARPET BERBASIS ANDROID Sumarni, Aprida; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Bookkeeping is where the actors run a business which is indispensable in a good bookkeeping system, with this bookkeeping system business actors can find out the advantages and disadvantages of the business being run. as well as entrepreneurs can set their business strategies in the future and show the development of the business they are living. Currently, Android is known as a very complete technology or a complete package in developing a smartphone operating system that has been widely used by many people at this time. With the support of software that can be used to develop an application, namely android studio, android studio is software that has features that make it easy for users to build android applications, flutter is also called a programming language used to create software, XAMMP is a software tool that supports multiple systems namely databases. In this study, the testing method used is black box testing, which is a functional test that we can use without having to know the program or internal code structure. What is generated in an application is a flutter system framework for an android-based income-saving shop-house income accounting application that can be used by shop heads. As for the benefits of this technology, so that the head of the shop can do the bookkeeping of the income earned on the business undertaken by using an Android-based smartphone in order to make it easier for the bookkeeping. Keywords: Bookkeeping, Android, flutter , Xammp, Android Studio.

FRAMEWORK JARINGAN SYARAF TIRUAN DENGAN ALGORITMA GENETIKA PADA PENGENALAN IRIS MATA Lee, Hendy; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Iris recognition is a secure and reliable biometric identification system for user detection. Used to take a portrait of a person. This system was created by combining the artificial neural learning method with genetic algorithms. Implementation of this recognition system through several processes, namely the collection of iris data, iris data obtained through the acquisition process with image output. The recognition system was built using Matlab software, and the obtained images were separated into two parts: training images and test images. The training image is pre-processed. The iris recognition system's performance is evaluated using segmentation. Segmentation is used to locate the right iris region in a certain section of the eye and must be done exactly and accurately to eliminate the iris area's eyelashes, eyelids, reflections, and pupillary noise. We use the Daughman Algorithm segmentation of Iris Recognition in this study. In this research, we apply Daughman Algorithm segmentation for Iris Recognition. To reduce dimensional differences across the iris area, the segmented iris regions were normalized. The convolution theorem is used to code the characteristics of the iris. As a match metric, Hamming distance is included, which offers a count of how many mismatched bits there are between the iris templates. Pre-processing aids the identification, which includes training and testing. The pre-processing findings are used as input data in the training phase, whereas test image data is used in the testing phase. The use of artificial neural learning as well as a genetic algorithm to detect the iris pattern is effective and achieves the objectives. This is corroborated by the 95% recognition accuracy rate. According to the test findings, the clarity of the produced iris picture, the number of hidden mark sheet, the quantity of epoch parameters, as well as the appearance of the training sample are the criteria that determine the system's recognition rate.

PERANCANGAN DAN PENERAPAN APLIKASI PENJUALAN DENGAN QR CODE MENGGUNAKAN METODE RAD Siregar, Lestari; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 13 No 1 (2025): Comasie Vol 13 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i1.10247

The swift advancement of information technology has changed how businesses conduct their operations, particularly in the sales process. This research centers on designing and implementing a web-based sales application utilizing QR Code at PT. Megah Jaya Sakti, a company operating in the building materials industry. Although the company still employs conventional sales methods, there is an urgent need to enhance the efficiency and accuracy of transaction recording. QR Code, as a technology capable of storing information quickly and practically, is expected to facilitate product identification and transaction verification. Designing and developing a sales application that streamlines transaction management, utilizing QR Code technology for transaction identification and verification, and accelerating the application development process through the use of the Rapid Application Development (RAD) method are the goals of this study. The RAD method is chosen for its focus on speed and flexibility, allowing for the early testing of QR Code features during development. The results of this research are expected to provide an efficient and accurate solution for transaction management at PT. Megah Jaya Sakti, as well enchance customer satisfaction through a faster and more modern transaction process.

SISTEM PAKAR DIAGNOSA KESEHATAN MENTAL MENGGUNAKAN METODE NAÏVE BAYES BERBASIS ANDROID Mustaqim, Ladzina; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 13 No 1 (2025): Comasie Vol 13 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i1.10259

Artificial Intelligence (AI) is a branch of computer science that creates systems capable of performing tasks that require human intelligence. This development of an Android-based expert system is aimed at diagnosing mental health issues, specifically depression, in individuals aged 15 to 25. The system integrates Naïve Bayes and forward chaining methods to analyze symptom data and health history, classifying the severity of depression into mild, moderate, and severe categories. The development process includes data analysis, information gathering through interviews and literature studies, as well as creating a user-friendly application prototype. Testing results indicate that the system provides accurate and rapid diagnoses, helping users understand their mental health conditions, enhancing accessibility to diagnosis, reducing stigma, and supporting the prevention and management of depression more effectively.

SISTEM PAKAR DIAGNOSIS PENYAKIT PADA REPTIL DENGAN METODE CERTAINTY FACTOR BERBASIS ANDROID Donny Oktavian; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 13 No 1 (2025): Comasie Vol 13 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i1.10271

Reptiles likes turtles, snakes, and iguana are becoming popular pets due to their unique traits and easy care. However, limited information and shortage of specialized veterinarians in rural areas hinder early disease detection and management. This study develops an expert system for diagnosing reptile diseases using the Certainty Factor (CF) method on Android. The system helps pet owners recognize early symptoms and suggests initial treatments. Evaluation shows the system accurately identifies diseases based on user-inputted symptoms, with a confidence level. The CF method effectively manages uncertainty by combining values from multiple symptoms, achieving over 90% accuracy compared to manual diagnosis. The application has a user friendly interface and quick response time, but its knowledge base is currently limited and does not cover all known reptile diseases.

AUGMENTED REALITY PENGENALAN ALAT-ALAT INSTALASI JARINGAN MENGGUNAKAN METODE MARKERLESS Firmansyah, Udhi; Annurrullah Fajrin, Alfannisa
Computer Science and Industrial Engineering Vol 13 No 3 (2025): Comasie Vol 13 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i3.10532

Currently, technology is developing rapidly, making it easy to obtain information. Technology plays an important role in human life, offering many benefits in various fields and aspects of life, one of which is in the field of computer networks, where many network tools have been created with different functions and forms. Understanding network devices is crucial in education and training within the field of Information Technology. Now, a technology called AR (Augmented Reality) has emerged to simplify and provide innovative solutions that make learning more engaging and creative. The markerless method is employed so that the system can recognize the real environment without requiring markers or special tags, thereby offering greater flexibility in its application. This application was developed using Unity 3D with AR Foundation and ARCore as the primary technologies. 3D objects of network devices such as routers, MCI, LAN cables, and servers are displayed virtually in the real environment through the Android device's camera. Users can interact with the 3D objects, view descriptions of the device's functions, and play simple animations to clarify the device's usage. This research was conducted to design a Network Device Recognition application using a markerless method that makes it easier for salespeople or customers to understand the objects they want to see. The process is quite simple: just use a smartphone, and the application will scan the nearest flat surface to display the desired object, which will appear as a 3D object complete with information on its function, type, and price.

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