BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia

Analisis Perbandingan Rencana Anggaran Biaya (RAB) Dengan Standar Kementrian PUPR Tahun 2022 Dan SNI Tahun 2008 Pada Proyek Pembangunan Gedung

2024-10-10T00:21:16+00:00

The construction project of the Regional Tax and Levy Management Agency Office Building is located in Mariat Pantai, Aimas District, Sorong Regency, Southwest Papua. The project is an effort by the local government to improve the quality of infrastructure in the coastal Mariyat area where the office building was built to meet safety and health standards. The method in this study is quantitative research. Quantitative research is a research method that collects and analyzes data based on numbers and numerical measurements. The analysis shows that by using the SNI analysis, the results are Rp. 729,477,142,- while by using PUPR, the results are Rp. 809,271,989,- which means that the SNI analysis is more economical than the PUPR analysis. The final results of the study show that the calculation of the cost of building the office building of the Regional Tax and Levy Management Agency using the 2008 SNI analysis is Rp. 729,477.42 while the result of the cost estimate using the 2022 PUPR analysis is Rp. 809,271,989. From the calculation results, the comparison of the cost budget estimate between the 2008 SNI and PUPR 2023 methods, namely the 2022 PUPR method is Rp. 79,794,847 more expensive than the 2008 SNI.

Sistem Pakar Untuk Mendiagnosa Penyakit Dalam Dan Menentukan Jenis Tanaman Herbal Serta Cara Pengolahannya Dengan Menggunakan Metode Certainty Factor (CF)

2024-11-09T07:42:53+00:00

Internal medicine is a disease that usually attacks humans. Most of the internal diseases that occur are often considered trivial, and if the disease is not treated immediately it will become more serious and serious. So because of that we need a tool or system that has the ability like a doctor in diagnosing this internal disease. The system is an expert system that solves problems as is usually done by experts. This study aims to create an expert system application for diagnosing internal medicine. The application of this system diagnoses internal medicine with the Prototype and the Certainty Factor method. The Certainty Factor method is a method for proving whether a fact is certain or uncertain. This method provides space for experts to give confidence in the knowledge they express. From calculations using the Centainty factor method for each disease, from the symptoms entered by the user for hypotension the probability is 0.92% or 92%, while the symptoms entered by the user for hypertension are likely to be 0.994624 or 99.46%, from the results of the comparison the probability is obtained the maximum value of CF is 0.994624 or 99.46% with hypertension.

Perancangan Aplikasi Manajemen Keuangan Berbasis Android Dalam Studi Kasus Lingkungan Sekolah SMK Gema Bangsa

2024-11-11T00:54:16+00:00

Consumptive behavior that often occurs in society can become a major problem in financial management. As technology and information develop, currently there are various kinds of applications for managing and allocating finances that can be a reference for society, both personally and in the school environment, one of which is an application with the Android operating system. Often manual recording is considered difficult because notes can be lost or forgotten to be recorded. Based on the background of this problem, an Android-based Personal Financial Management application was designed which has features such as income and expenditure input, debt and receivable maturity reminders, expense bill upload, data backup and restore, budget to limit expenses, import data into CSV form., and also transaction reports. The results of user testing obtained from the application that is done are 100% strongly agree, meaning that the application is very agreeable to use and really helps manage finances to be more efficient and effective.

Pengembangan Aplikasi Parkir Berbasis Web Menggunakan Metode RFID Untuk Manajemen Parkir (Studi Kasus: PT. Prama Jaya Arja)

2024-11-11T13:57:15+00:00

In the current digital era, the parking system is experiencing a significant transformation with the application of advanced technology to increase efficiency and user comfort. This research aims to develop a web-based parking application with Radio Frequency Identification (RFID) technology implemented at PT. Prama Jaya Arja, to minimize queues, reduce the potential for human error, and increase security in the parking area. This application was developed using the PHP, MySQL and JavaScript programming languages for the database, which allows integration with RFID technology and supports a more efficient parking management system. The methodology used is the Waterfall method, which includes the stages of needs analysis, design, implementation, testing and maintenance. The research results show that this web-based parking application has succeeded in parking management efficiency by minimizing queues and the potential for human error, as well increasing speed and accuracy in the parking management process. This system facilitates convenience for PT users and managers. Prama Jaya Arja through non-cash payment features, real-time parking reporting, as well as automatic monitoring of vehicles entering and leaving the parking area.

Literatur Review: Klasifikasi Citra Medis Penyakit Pneumonia Dengan Convolutional Neural Networks

2024-11-11T05:26:17+00:00

Pneumonia is a lung disease that can be fatal if not accurately diagnosed. The use of Convolutional Neural Networks (CNN) for medical image classification offers a promising approach to aid in diagnosis. This literature review evaluates recent studies focused on CNN-based detection of pneumonia in medical images. Through an examination of various CNN architectures and data processing techniques, this research identifies the advantages of CNN models over conventional methods, as well as challenges such as limited data availability and difficulties in interpreting predictive outcomes. This review concludes that CNN applications for pneumonia classification show significant potential, although further optimization is required, particularly in improving model generalization across diverse datasets. This study aims to serve as a reference for the development of artificial intelligence-based diagnostic technology in the medical field.

Evaluasi Dan Pengembangan Sistem Rekomendasi Game Berbasis Content-Based Filtering Dengan TF-IDF Dan Cosine Similarity

2024-11-12T12:57:47+00:00

Recommendation systems have become essential components in various digital platforms to help users navigate through the increasingly diverse choices (Zakharia et al., 2024). In the digital era, the gaming industry has rapidly evolved with a multitude of genres and types of games available. This abundance of choices often makes it difficult for users to find games that match their preferences. Therefore, an accurate recommendation system is needed to facilitate users in selecting games relevant to their interests.This study aims to develop a game recommendation system using the Content-Based Filtering algorithm, where game features are analyzed to determine similarities with games favored by users. The Waterfall method is used as the development framework, covering stages of requirements analysis, system design, implementation, testing, and maintenance. The data used in this study was collected from the Kaggle website, which provides comprehensive information on user interactions with various games, including attributes such as genre, platform, and descriptions.The results of the study indicate that the Content-Based Filtering recommendation system is effective in providing recommendations that match user preferences. This research is expected to contribute to the development of more accurate recommendation systems and enhance user experience in exploring games that align with their interests.

Jumlah Kepala Sekolah Dan Guru Menurut Kelompok Umur Di Provinsi Lampung, Kalimantan Timur, Kalimantan Barat, Sulawesi Tenggara Tahun 2023/2024

2024-11-14T08:08:14+00:00

This research aims to identify the number of school principals and teachers by age group in the provinces of Lampung, East Kalimantan, West Kalimantan and Southeast Sulawesi in 2023/2024. This research uses a descriptive method to get the results and then analysis is carried out. The results show that Lampung Province has the highest number of school principals and teachers, while East Kalimantan has the lowest number. This information provides an overview of the conditions and potential needs for regeneration of teaching staff in each province. It is hoped that this data can become a reference for policy makers in designing more effective development and management strategies for teaching staff. This research also supports efforts to improve the quality of national education through sustainable human resource planning in the education sector.