2020
DOI: 10.1088/1742-6596/1539/1/012012
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Mobile Based Geographic Information System for mapping and data collection Towards 4.0 Industry

Abstract: Geographic Information System Technology makes it easier for us to manage geo-referenced information data or mapping the location of an area that is connected to the database. Nahdlatul Wathan is one of the largest organizations in West Nusa Tenggara, where there has been rapid development from year to year, especially in the field of education. The number of Islamic schools (madrasas) under the Nahdlatul Wathan organization is increasing every year. But until now, the location (geographical location) of each … Show more

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Cited by 3 publications
(2 citation statements)
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“…Some researchers merged the linear model and the depth model to develop the Wide Deep model, which overcomes the challenge of mixing low-order features with high-order features by combining the two models together. Deep neural networks were used in the literature [15] to construct recall and ranking models by deep extraction of embedded representations of users' historical behaviors, respectively, which solved the real-time problem of large-scale recommendations [16][17][18][19][20][21][22]. For the insufficiency of combined features in the fully connected layer, some other scholars proposed a product-based recommendation model, in which the input features are passed through the product layer to obtain a higher-order combined representation, which improves the performance of click-through rate prediction even further.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers merged the linear model and the depth model to develop the Wide Deep model, which overcomes the challenge of mixing low-order features with high-order features by combining the two models together. Deep neural networks were used in the literature [15] to construct recall and ranking models by deep extraction of embedded representations of users' historical behaviors, respectively, which solved the real-time problem of large-scale recommendations [16][17][18][19][20][21][22]. For the insufficiency of combined features in the fully connected layer, some other scholars proposed a product-based recommendation model, in which the input features are passed through the product layer to obtain a higher-order combined representation, which improves the performance of click-through rate prediction even further.…”
Section: Introductionmentioning
confidence: 99%
“…Pengelolan data informasi georeferensi atau pemetaan lokasi akan memudahkan penggunanya pada suatu area yang terhubung dengan database teknologi SIG [4]. Menariknya sebelum ini di Dusun belum pernah dibuatkan peta baik secara hard file ataupun soft file.…”
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