http://repository.kalbis.ac.id/handle/123456789/151 Sun, 15 Mar 2026 06:53:24 GMT 2026-03-15T06:53:24Z http://repository.kalbis.ac.id/handle/123456789/1676 Title: Perancangan Sistem Informasi Pembukuan Kas Berbasis Web Studi Kasus Yayasan Pesona Jakarta Authors: Abdullah, Faizal; Ziveria, Mira Abstract: With technological developments continuing to develop, business actors must continue to follow developments that occur in the world of entrepreneurship. This study designs online cash bookkeeping for the Pesona Jakarta Foundation. The foundation's cash bookkeeping is still done manually, which means it takes a long time to prepare reports and the results are not optimal. The aim of this research is to create an easy and accurate way to record cash incoming and outgoing transactions. The Waterfall research method and Laravel framework were used. Black Box Testing is the testing method used. Data collection uses observation, interviews and literature research. The results of this research show that the system designed based on business needs was successfully built and has features that help business processes. Fri, 16 Feb 2024 00:00:00 GMT http://repository.kalbis.ac.id/handle/123456789/1676 2024-02-16T00:00:00Z http://repository.kalbis.ac.id/handle/123456789/1553 Title: Perbandingan Algoritma NaÏve Bayes, SVM dan Random Forest pada Analisis Sentimen Pengguna X terhadap IKN Authors: Cahyani, Putri Abstract: Sentiment analysis was explored to understand social media users' opinions towards the Indonesian Capital City (IKN) through the X platform with machine learning and lexicon-based algorithms. This research uses three algorithms: Naïve Bayes, Support Vector Machine (SVM), and Random Forest. The aim of this research is to test and compare the performance of the three algorithms to determine the best in classifying sentiment data from the X platform. The data consists of 10,000 tweets collected using the crawling method with the Python Harvest Library and Node.js, using keywords related to IKN. Based on the algorithm performance test, it was concluded that SVM had the highest performance compared to Naïve Bayes and Random Forest, producing an accuracy of 87%, precision 87%, recall 87%, and f-1 score 87%. This research uses the CRISP-DM Data Mining framework to ensure a structured and systematic approach to the analysis process. Mon, 15 Jul 2024 00:00:00 GMT http://repository.kalbis.ac.id/handle/123456789/1553 2024-07-15T00:00:00Z http://repository.kalbis.ac.id/handle/123456789/1514 Title: Penerapan Algoritma Regresi Linear Sederhana untuk Prediksi Penjualan Produk pada PT. Bintang Graha Makmur Authors: Rifky, Muhammad Abstract: PT Bintang Graha Makmur in Jakarta is a company that has been operating since 2010 in the field of food and beverages, especially alcoholic beverages. Until now, PT Bintang Graha Makmur has distributed alcoholic beverage products to various restaurants, hotels and bars. The problem that often occurs at this time is the difficulty in determining the right stock of goods, resulting in delays in shipping goods. This prediction is done to estimate future sales to make decisions in stocking goods so that they are able to adjust to the amount of demand for goods. The sales prediction method used is Simple Linear Regression and then the prototyping system development method which is applied in the form of a website. The results of this study are to produce an average value of MAPE from each prediction result of each product and help to process records on sales of goods, stock items and customers. Thu, 30 May 2024 00:00:00 GMT http://repository.kalbis.ac.id/handle/123456789/1514 2024-05-30T00:00:00Z http://repository.kalbis.ac.id/handle/123456789/1342 Title: Implementasi Modul Inventory Menggunakan Odoo ERP pada Studi Kasus NMR Watch Authors: Rhani, Nitha Mahesya Abstract: In the business world, every time it continues to develop and modernize in the system sector, due to the more advanced civilization of society, the more advanced the business system in the company, especially those that are influential in the IT field, it has proven to have a lot of great influence in advancing and meeting the needs of company / business systems designed to make the operations of companies even faster. NMR Watch is a business company that specializes in the field of manufacturing and procuring activities of a Watches with certain product categories that will be marketed and sold to costamers, but in the business process there are several obstacles that occur because these business actors still rely on manuals, especially in recording the sale and purchase of stock products using notes and Excel, in this case it is necessary to modernize the data. Implement the data using Accelerated SAP (ASAP) method for estabilishing regular steps in the implementation process using the Odoo ERP application which will later become the main basis for the data collection process in NMR Watch's business activities with the Inventory module which functions as a product input and output data setting and product stock monitoring, assisted by the testing process with the Alpha and beta methods which function as steps the beginning of the NMR Watch data process using a modern-based application, with the result that later it will become a fully updated product stock monitoring priority. Wed, 19 Jul 2023 00:00:00 GMT http://repository.kalbis.ac.id/handle/123456789/1342 2023-07-19T00:00:00Z