1. 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

2. Second MOASEI Competition at AAMAS'2026: A Technical Report

   http://arxiv.org/abs/2607.03399v1 · arxiv

   We describe the 2026 Methods for Open Agent Systems Evaluation Initiative (MOASEI) Competition, a benchmark event for evaluating multi-agent decision-making under open-system conditions. Building on the inaugural 2025 competition, the 2026 edition retained wildfire fighting, cybersecurity, and ride-

3. 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

4. INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents

   http://arxiv.org/abs/2604.11970v1 · arxiv

   We introduce INDOTABVQA, a benchmark for evaluating cross-lingual Table Visual Question Answering (VQA) on real-world document images in Bahasa Indonesia. The dataset comprises 1,593 document images across three visual styles (bordered, borderless, and colorful) with one or more than one tables, and

5. 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

6. 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

7. NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report

   http://arxiv.org/abs/2604.17070v2 · arxiv

   This report presents the NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge, which targets automatic rip current understanding in images. Rip currents are hazardous nearshore flows that cause many beach-related fatalities worldwide, yet remain difficult to identify because their

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. ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification

    http://arxiv.org/abs/2607.28637v1 · arxiv

    This paper presents our system for the CHiPSAL 2026 shared task on multimodal hate speech and sentiment detection in Nepali memes. We address both subtasks: binary hate speech classification and three-class sentiment analysis. Our approach adapts the Robust Adaptation of Hateful Meme Detection (RA-H

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