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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Teknik Informatika UNIKA Santo Thomas J-SAKTI (Jurnal Sains Komputer dan Informatika) JUKI : Jurnal Komputer dan Informatika Journal of Soft Computing Exploration J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Bagaskara, Radhinka
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

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Pendeteksian Jumlah Bangunan Berbasis Citra Menggunakan Metode Deep Learning Bagaskara, Radhinka; Rizkita, Alya Khairunnisa; Fernandes, Rivaldo; Yulita, Winda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.428

Abstract

Counting residential houses is one of the problems faced when determining population density level in Indonesia, therefore it’s required to find a method that’s able to solve said problem. Deep learning method is capable of creating a prediction model for detecting the number of buildings from an image. The deep learning prediction model is created with MobileNetv2 application. The prediction model is trained by using a dataset from Kaggle. The prediction model is tested using satellite photos taken from Way Kandis-Sukarame, Bandar Lampung. The result is a deep learning prediction model with accuracy of 91.30% for SenseFly and 10.34% for Way Kandis dataset. The research can be further improved by using a better training and testing dataset
Co-Authors Afriansyah, Aidil Akram Abdillah, Attar Andika Setiawan, Andika Anggraini, Leslie Aprilianda, Mohamad Meazza Atmajaya, Gde KM Ba’its, Alfian Kafilah Drantantiyas, Nike Dwi Grevika Dwi Nugroho, Eko Eko Nugroho Faisal, Amir Febrianto, Andre Fernandes, Rivaldo Fitrawan, Mhd. Kadar Habib Algifari, Muhammad Harmiansyah, Harmiansyah Kartadilaga, Muhammad Qaessar Listiani, Amalia Mufidah, Zunanik Putro, Yoga Naufal Ray Rahman Indra Kesuma Ramadhani, Uri Arta Ridwan, Naufal Taufiq Rizkita, Alya Khairunnisa Untoro, Meida Cahyo Verdiana, Miranti Yulita, Winda