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Journal : Journal of Information Technology (JIfoTech)

Rancang Bangun Aplikasi Perjalanan Dinas berbasis Laravel dan Vue (Studi Kasus : Balai Guru Penggerak Kalbar) Aditya Pratama; Denny Primanda; Nurman Hariyanto; Adha Maulana
Journal of Information Technology Vol 3 No 2 (2023): Journal of information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v3i2.757

Abstract

Business travel applications have become an important element in managing administration and staff mobility in various organizations and institutions. However, previously BGP KALBAR did not have an official travel application that suited their needs. This results in a number of problems, such as less efficient manual management, lack of transparency in official travel management, and an unsatisfactory experience for BGP KALBAR staff and teachers. This research aims to design and develop an official travel application based on Laravel and Vue.js for the West Kalimantan Teacher Mobilization Center (BGP KALBAR). This application aims to increase efficiency and transparency in official travel management, as well as provide a better experience for BGP KALBAR staff and teachers. The development methodology uses a combination of Laravel as the back-end framework and Vue.js as the front-end framework. Laravel provides powerful capabilities in database management and business logic, while Vue.js enables the creation of interactive and responsive user interfaces. The application includes features such as travel management, reporting and integration with MySQL database. The results of the testing show that the system proposed in this research functions well. Based on the measurement results from the MOS (Margin of Satisfaction), the application that has been developed is able to overcome problems related to the Official Travel Application at the West Kalimantan Teacher Mobilization Center.
Implementasi Algoritma Linear Regression Untuk Prediksi Harga Rumah di Daerah Tebet Aditya Pratama; Adha Maulana; Rendy Amy Saputra
Journal of Information Technology Vol 5 No 1 (2025): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v5i1.986

Abstract

This research focuses on the issue of house price variation in the Tebet area, South Jakarta, influenced by factors such as land area, building area, number of bedrooms, number of bathrooms, and additional facilities. This price variability makes it difficult for potential buyers and sellers to determine a fair price, potentially resulting in poor decisions and financial losses. Therefore, the main objective of this research is to develop a house price prediction model using the linear regression algorithm, which is expected to provide a more accurate price estimate based on relevant features.as a solution, this research applies the linear regression algorithm to analyze and predict house prices, providing useful information for stakeholders, including buyers, sellers, and real estate agents. The methods used include collecting house price data and related features from the Rumah123 property platform, which are then pre-processed by dividing them into training data (80%) and test data (20%). The model is evaluated using the Mean Squared Error (MSE) and R-squared metrics. The research results show that this model has an R-squared of 0.7713, which means it can explain about 77% of the variation in house prices. This model also predicts the price of a new house with certain features, such as a building area of 100 m² and a land area of 300 m², at around IDR 8,555,000,000. This research is expected to make a significant contribution to understanding the dynamics of house prices in Tebet.