1. Epidemiology Through Cellular Automata: Case of Study Avian Influenza in Indonesia

   http://arxiv.org/abs/nlin/0403035v1 · arxiv

   This paper performs the utilization of cellular automata computational analysis as the dynamic model of spatial epidemiology. Here, explored elementary aspects of cellular automata and its application in analyzing contagious disease, in this case avian influenza disease in Indonesia. Computational m

2. Summarizing Online Conversation of Indonesia Tourism Industry using Network Text Analysis

   http://arxiv.org/abs/2102.12350v1 · arxiv

   The tourism industry is one of the potential revenues and has an important role in economics in Indonesia. The tourism Industry brings job and business opportunities, foreign exchange earnings, and infrastructure development, tourism also plays the role of one of the main drivers in socio-economic p

3. Indonesia embraces the Data Science

   http://arxiv.org/abs/1508.02387v1 · arxiv

   The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data. Data can be in the forms of signals, images, texts, or manifol

4. The Influence of Boreal Summer Madden-Julian Oscillation on Precipitation Extremes in Indonesia

   http://arxiv.org/abs/2112.00001v1 · arxiv

   This study examines the influence of Madden-Julian Oscillation (MJO) on Indonesian precipitation during the extended boreal summer (May to September). The MJO is one of the dominant intraseasonal variabilities that influence the extreme precipitation in the tropics, especially in Indonesia. The epis

5. Analysis of Factors Affecting the Entry of Foreign Direct Investment into Indonesia (Case Study of Three Industrial Sectors in Indonesia)

   http://arxiv.org/abs/2408.01985v1 · arxiv

   The realization of FDI and DDI from January to December 2022 reached Rp1,207.2 trillion. The largest FDI investment realization by sector was led by the Basic Metal, Metal Goods, Non-Machinery, and Equipment Industry sector, followed by the Mining sector and the Electricity, Gas, and Water sector. T

6. One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

   http://arxiv.org/abs/2203.13357v1 · arxiv

   NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects. Focusing on the languages spoken in Indonesia, the second most linguistically diverse and the fourth most populous nation of the world, we provide an overview of the c

7. A New Prediction of Daily Number of New Cases and Total Number Infected for nCOVID-19 Plague Infections In Indonesia with the Modification of the Bernoulli Differential Equation

   http://arxiv.org/abs/2004.13243v1 · arxiv

   The application of differential equations is commonly used in mathematics and physics, as well as various other sciences to explain a phenomenon in a system. This paper explains the mathematical modeling in the analysis of the nCOVID-19 plague in Indonesia on March 3, 2020, to April 19, 2020, with t

8. Introducing OPTO : Portal for Optical Communities in Indonesia

   http://arxiv.org/abs/0708.0604v1 · arxiv

   Since January 1, 2005 we have launched "OPTO" Portal, a website dedicated to optical communities in Indonesia. The address of this portal is http://www.opto.lipi.go.id and is self-supporting managed and not for commercial purposes. Our aims in launching this portal are to benefit Internet facility i

9. Clear sky fraction above Indonesia: an analysis for astronomical site selection

   http://arxiv.org/abs/1209.1234v1 · arxiv

   We report a study of cloud cover over Indonesia based on meteorological satellite data, spanning over the past 15 years (from 1996 to 2010) in order to be able to select a new astronomical site capable to host a multi-wavelength astronomical observatory. High spatial resolution of meteorological sat

10. The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities

    http://arxiv.org/abs/2111.05142v1 · arxiv

    This paper examines inequalities in the usage of smartphone technology based on five samples of smartphone owners collected in Germany and Austria between 2016 and 2020. We identify six distinct types of smartphone users by conducting latent class analyses that classify individuals based on their fr

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