ARTIFICIAL NEURAL NETWORK APPLICATION IN GROSS DOMESTIC PRODUCT FORECASTING AN INDONESIA CASE

Gross Domestic Product (GDP) is a benchmark for economic production conditions of a country. Estimates of economic growth in the coming year in a country has important roles, among others as a benchmark in determining business plans for business entities, and the basis for devising government fiscal policy. Artificial Neural Network (ANN) has been increasingly recognized as a good forecasting tool in various fields. Its nature that can mimic the workings of the human brain makes it flexible for non-linear and nonparametric data. GDP growth forecasting techniques using ANN has been widely used in various countries, such as the United States, Canada, Germany, Austria, Iran, China, Japan and others. In Indonesia, forecasting of GDP is only done by government institutions, namely National Planning Board, using macroeconomic model. In this study, ANN is used as a tool for forecasting GDP growth in Indonesia, using some variables, such as GDP growth in the two previous periods, population growth rate, inflation, exchange rate and political stability and security conditions in Indonesia. Results from this study indicate that ANN forecasts GDP relatively better than the one issued by the government. Further study would be to use ANN to predict other economic indicators. Keywords: GDP growth, ANN, Forecastin

Adding value to fresh and processed produce through product certification

The current trend in world trade of agro-food, and the change in consumer demand patterns for food and agricultural products, has led to a fast growth of multi-national chains of retail stores in major cities in developing countries and growth in domestic retail store chains. Their presence opens a new market for high quality agro-food. While many products come from overseas, many can also be supplied locally by farmers or farmers’ co-operatives or associations provided that they meet the quality and supply standards required by the store. To study and identify specific benefits from this global economic trend that can be tapped by secondary crops farmers, specifically those living in medium altitude areas, two studies were conducted in two member countries of CAPSA-ESCAP, i.e., Indonesia and the Philippines, with assistance provided by the government of France. Product certification requirements by the retailers, and best practices on product certification by the various producers and processors from farms to retailers, were studied, analysed, and collated.AGRICULTURAL PRODUCTS, PRODUCT CERTIFICATION, FARMERS ASSOCIATIONS, Agricultural and Food Policy, Farm Management, Food Security and Poverty,

Structural Adjustment to Exchange Rate Policy in a General Equilibrium Framework: The Case of Indonesia

Agricultural Economic

The impact of support for imports on food security in Indonesia

This study on the impact of import support on food security was conducted in eight developing countries -including Indonesia- that were facing food insecurity and were recipients of subsidized exports and food aid. In Indonesia, the analysis of import flows in comparison with overall production and consumption data led to the selection of the three import substitute commodities, soybean, sugar and milk, that were the focus of this study. The objective of the study was to provide an analysis of the national impact of export support measures on food security, by taking into account their impact on the producers and consumers of the three commodities.IMPORTS, EXPORTS, FOOD, ECURITY, SOYBEANS, SUGAR, MILK, FOOD AID, Agricultural and Food Policy, Crop Production/Industries, Food Security and Poverty, International Relations/Trade, Production Economics,

Critical Factors in E-Learning Influencing Student Motivation and Collaboration in Indonesian Higher Education Institution

The purpose of this research was to determine the effect of e-learning and its elements to student motivation and collaboration. This research was conducted in one of Indonesian higher education institutions. A questionnaire was distributed to collect data from students. Data were obtained from 145 active undergraduate students. The statistical method of multiple regression analysis was used for data analysis, using software Statistical Product and Service Solution (SPSS) version 22. Overall, the results of this research indicate that e-learning has a positive impact on student motivation and collaboration. However, it is found that not all elements of e-learning have positive impacts on student motivation and collaboration

MODEL PENENTUAN MANFAAT DAN KEPUASAN IMPLEMENTASI WEBSITE B2B : KASUS UKM

MODEL PENENTUAN MANFAAT DAN KEPUASAN IMPLEMENTASI WEBSITE B2B : KASUS UKM - e-commerce, website B2B, SME, Structural Equation Modelling, Securit

FAKTOR - FAKTOR YANG MEMPENGARUHI KEPUASAN PENGGUNA EMR (ELECTRONIC MEDICAL RECORD) PADA RUMAH SAKIT XYZ

FAKTOR - FAKTOR YANG MEMPENGARUHI KEPUASAN PENGGUNA EMR (ELECTRONIC MEDICAL RECORD) PADA RUMAH SAKIT XYZ - Kepuasan, EMR (Electronic Medical Records), UTAU

FAKTOR-FAKTOR PENENTU KEPUTUSAN PEMBELIAN MELALUI E-COMMERCE

FAKTOR-FAKTOR PENENTU KEPUTUSAN PEMBELIAN MELALUI E-COMMERCE - keputusan pembelian secara online, Indonesia, regresi, Confirmatory Factor Analysis, faktor-faktor

Conjoint Analysys Preferences of Milenial or Gen Z in Selecting Online Marketplace Attributes (Adiraku Study Case)

In this globalization era, the online marketplace business is a very appealing business. For example, one of the emerging applications is Adiraku. The goal of this study is to determine what attribute preference factors from Millennials or Gen Z influence users in doing online shopping through Adiraku in Jakarta, as well as the contribution of each Adiraku factor. The data analyzed and collected is about Millennials or Gen Z, called The Socializer, and was obtained by means of an online survey focused on Millennials or Gen Z who live in Indonesia. The method used is the conjoint analysis method, which requires quantitative research methods using a descriptive approach to research. Overall, Millennials or Gen Z choose delivery speed as their main preference when using the Adiraku app, which has a vehicle delivery speed of less than 1 day

Adding value to fresh and processed produce through product certification

The current trend in world trade of agro-food, and the change in consumer demand patterns for food and agricultural products, has led to a fast growth of multi-national chains of retail stores in major cities in developing countries and growth in domestic retail store chains. Their presence opens a new market for high quality agro-food. While many products come from overseas, many can also be supplied locally by farmers or farmers’ co-operatives or associations provided that they meet the quality and supply standards required by the store. To study and identify specific benefits from this global economic trend that can be tapped by secondary crops farmers, specifically those living in medium altitude areas, two studies were conducted in two member countries of CAPSA-ESCAP, i.e., Indonesia and the Philippines, with assistance provided by the government of France. Product certification requirements by the retailers, and best practices on product certification by the various producers and processors from farms to retailers, were studied, analysed, and collated