1. Komodo: A Linguistic Expedition into Indonesia's Regional Languages

   http://arxiv.org/abs/2403.09362v2 · arxiv

   The recent breakthroughs in Large Language Models (LLMs) have mostly focused on languages with easily available and sufficient resources, such as English. However, there remains a significant gap for languages that lack sufficient linguistic resources in the public domain. Our work introduces Komodo

2. Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia

   http://arxiv.org/abs/2311.00998v1 · arxiv

   Neural machine translation (NMT) for low-resource local languages in Indonesia faces significant challenges, including the need for a representative benchmark and limited data availability. This work addresses these challenges by comprehensively analyzing training NMT systems for four low-resource l

3. Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU

   http://arxiv.org/abs/2310.04928v2 · arxiv

   Although large language models (LLMs) are often pre-trained on large-scale multilingual texts, their reasoning abilities and real-world knowledge are mainly evaluated based on English datasets. Assessing LLM capabilities beyond English is increasingly vital but hindered due to the lack of suitable d

4. A Brief History and Outlook of Hadronic Physics in Indonesia

   http://arxiv.org/abs/2512.17219v1 · arxiv

   Hadronic physics has gradually emerged as one of the growing research frontiers in Indonesia, driven by efforts to better understand the properties of the strong interaction and the internal structure of hadrons from the fundamental principles of Quantum Chromodynamics. In the last few decades, Indo

5. Parallelization of Maximum Entropy POS Tagging for Bahasa Indonesia with MapReduce

   http://arxiv.org/abs/1208.3047v1 · arxiv

   In this paper, MapReduce programming model is used to parallelize training and tagging proceess in Maximum Entropy part of speech tagging for Bahasa Indonesia. In training process, MapReduce model is implemented dictionary, tagtoken, and feature creation. In tagging process, MapReduce is implemented

6. Educational Mobility Across Multiple Generations in Indonesia

   http://arxiv.org/abs/2604.19969v2 · arxiv

   Standard intergenerational measures have been shown to understate the long-run persistence of socioeconomic advantages in developed countries. We study theoretically and empirically whether this pattern extends to less developed settings, using Indonesia as a case study. Using the Indonesian Family

7. Innovating Mathematics by Research Approaches in Indonesia from Middle Schools to Undergraduates

   http://arxiv.org/abs/1711.04630v1 · arxiv

   Innovating mathematics by research approaches in Indonesia from middle schools to undergraduates are explained here where geometry is typical example to be innovated. Topics in plane geometry to be platonic solids and non platonic solids such as cylinder and spheres are innovated to be new surfaces

8. 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

9. Optimization of Mechanical Design Bladeless Wind Turbine for Electricity Fulfilment in Nusa Tenggara Timur, Indonesia

   http://arxiv.org/abs/2205.02786v1 · arxiv

   The current government's goal is the realization of an even distribution of the electrification ratio in Indonesia. However, in 2018 the electrification ratio in Nusa Tenggara Timur (NTT) only reached 62.07%. One of the solutions offered is the implementation of a Bladeless Wind Turbine (BWT). BWT i

10. Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia

    http://arxiv.org/abs/2207.14656v1 · arxiv

    Deforestation is one of the contributing factors to climate change. Climate change has a serious impact on human life, and it occurs due to emission of greenhouse gases, such as carbon dioxide, to the atmosphere. It is important to know the causes of deforestation for mitigation efforts, but there i

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