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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Lidya Elisabet Theogracia Silitonga
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Computer Science & IT

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Analisis Tingkat Inflasi di Indonesia Menggunakan Teknologi Big Data Analytics Lidya Elisabet Theogracia Silitonga; I Putu Gede Hendra Suputra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p17

Abstract

Inflation is a state of the country's economy where there is a tendency to increase the price of goods and services within a certain period of time. In general, inflation in Indonesia occurs due to pressure from the demand side (Demand Pull Inflation) and from the supply side (Cost Push Inflation). From the demand side, according to monetary theory, this excess demand is caused by too much money circulating in the community, while the amount of goods in the market is small. From the supply side (Cost Push Inflation), inflation is caused by an increase in production costs. Unstable inflation has a negative impact Therefore, inflation control is very important. In this study, the inflation rate in Indonesia will be carried out which aims to determine the development and control of inflation in Indonesia. This study will use secondary data from the Central Statistics Agency (BPS). The research method that will be used is the big data analytics method. In this study, the author uses the Tableau tool to visualize data on Indonesian inflation data taken from the Central Statistics Agency (BPS).
Implementasi Business Intelligence Menggunakan Metode OLAP untuk Pengambilan Keputusan Penjualan Properti Lidya Elisabet Theogracia Silitonga; I Putu Gede Hendra Suputra; Ida Ayu Gde Suwiprabayanti Putra; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Based on data from the Central Statistics Agency, population growth in Indonesia reaches 2 million – 3 million people every year. In this case, with increasing population growth, the need for housing also increases. The high demand for housing provides opportunities for property companies, one of which is PT Anugerah Indah Prima in the city of Medan. Apart from providing great opportunities, business in the property sector also has intense competition so that in order to continue to progress and develop, PT Anugerah Indah Prima must continue to be innovate in developing its business. In making a decision to develop its business, the company still faces obstacles, namely processing property sales data manually using Microsoft Excel. This data processing can not meet the needs of managers and marketing parties in making decision because the reports produced are still general information and difficult to understand. Therefore, this research focuses on designing a dashboard that can provide insightful information in company decision making. This research utilizes business intelligence, ETL(extract, transform, and loading), OLAP(online analytical processing), and forecasting. Keywords: Information Dashboard, Business Intelligence, Property Business
Co-Authors I Ketut Gede Suhartana I Putu Gede Hendra Suputra Ida Ayu Gde Suwiprabayanti Putra