Game edukasi  sangat  menarik  untuk  dikembangkan, ada  beberapa  kelebihan  darigame edukasi  dibandingkan dengan  metode  edukasi  konvensional, salah  satu kelebihan utama  game edukasi  adalah  pada  visualisasi  dari  permasalahan nyata. Berdasarkan pola  yang  dimiliki  oleh  game tersebut,  pemain dituntut  untuk belajar  sehingga dapat menyelesaikan  permasalahan yang  ada. Status game,  instruksi,  dan  tools yang  disediakan  oleh  game akan  membimbing  pemain secara aktif untuk menggali informasi  sehingga dapat memperkaya pengetahuan danstrategi  saat  bermain. Tujuan dari penelitian ini adalah untuk  membuat aplikasi mobile game sebagai media alternatif pembelajaran untuk mengenal simbol, berhitung, mencocokkan gambar dan menyusun acak kata. Game ini bisa digunakan sebagai media alternatif pembelajaran guru Pendidikan Anak Usia Dini (PAUD) dalam mengubah  cara  belajar  konvensional  menjadi  cara  belajar  simulasi game, sehingga dapat mengembangkan kreativitas anak, karena dalam game edukasi memiliki unsur tantangan, ketepatan, daya nalar dan etika.  Kata Kunci— Game, Pembelajaran, Pendidikan Anak Usia Dini

<span id="docs-internal-guid-9754d3d8-7fff-a7d2-6605-1c8f8c5a707a"><span>The classification method in the spatial analysis modeling based on the multi-criteria parameter is currently widely used to manage geographic information systems (GIS) software engineering. The accuracy of the proposed model will play an essential role in the successful software development of GIS. This is related to the nature of GIS used for mapping through spatial analysis. This paper aims to propose a framework of spatial analysis using a hybrid estimation model-based on a combination of multi-criteria decision-making (MCDM) and artificial neural networks (ANNs) (MCDM-ANNs) classification. The proposed framework is based on the comparison of existing frameworks through the concept of a literature review. The model in the proposed framework will be used for future work on the traffic accident-prone road classification through testing with a private or public spatial dataset. Model validation testing on the proposed framework uses metaheuristic optimization techniques. Policymakers can use the results of the model on the proposed framework for initial planning developing GIS software engineering through spatial analysis models.</span></span>

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This article contains dataset on the behavior of international tourists when traveling is related to 1) tourist demographics, 2) things that affect tourists to choose travel destinations when planning, 3) use of mobile data while traveling, 4) how to get internet access while traveling, 5) social media used during traveling, and 6) behavior of smartphone use for tourists during traveling. The raw data presented here can be used as material to analyze the behavior of international tourists related to any media that affects international tourists in planning their trips, and how they behave during traveling. This data is a source of raw data from our research on smartphones and international tourist behavior, besides being used for various other research purposes.