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All Journal G-Tech : Jurnal Teknologi Terapan
Iwan Prasetiawan
Universitas Multimedia Nusantara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Image Error Detection: A Systematic Literature Review Raymond Oetama; David Tjahjana; Iwan Prasetiawan; Catherine Anastasia
G-Tech: Jurnal Teknologi Terapan Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i3.2494

Abstract

The advancement of technology, as well as the creation of new techniques and methodologies for image analysis, is rapid. However, image detection may face some errors. Image error detection will be discussed in this comprehensive literature review. Throughout the papers, this work attempts to learn about the types of images used, algorithms that are frequently used, techniques that are frequently used, and metrics used to test the correctness of the suggested approach. The most commonly used image type is medical images such as Magnetic Resonance Imaging, the algorithm that is widely used is a Convolutional Neural Networks based algorithm. The method that is widely used is a machine learning-based method, and the measurement that is widely used is a Peak Signal Noise Ratio measurement method to measure the accuracy of the algorithm.
Unmasking the Sentiments of Labuan Bajo: An Instagram-based Analysis for Tourism Insights through VADER Sentiment Analysis Johan Setiawan; Vegeterrikin Gousander; Iwan Prasetiawan
G-Tech: Jurnal Teknologi Terapan Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i3.2615

Abstract

Labuan Bajo merupakan tujuan utama wisata yang terkenal, menarik banyak wisatawan asing dan lokal yang dengan antusias membagikan pengalaman mereka melalui foto dan video di Instagram. Penelitian ini bertujuan untuk mengeksplorasi umpan balik dari wisatawan lokal dan asing yang telah mengunjungi Labuan Bajo, serta mengidentifikasi tujuan wisata paling populer di daerah tersebut. Data penelitian dikumpulkan dari Instagram dengan menggunakan tagar "labuanbajo". Metode analisis sentimen berbasis leksikon VADER digunakan untuk mengukur polaritas sentimen. Temuan eksperimental menunjukkan tingkat akurasi yang impresif, yaitu 72%, dengan metode sentimen leksikon VADER. Hasil penelitian mengungkapkan bahwa tujuan wisata Labuan Bajo cenderung membangkitkan sentimen positif, dengan 58,55% dari 3.351 data yang dikumpulkan dikategorikan sebagai positif, mencapai total 1.962 kali. Destinasi populer yang sering dikunjungi wisatawan antara lain Pulau Komodo, Pulau Padar, Pink Beach, Pulau Kelor, Pulau Rinca, Pulau Kanawa, dan Desa Waerebo.
Co-Authors Catherine Anastasia David Tjahjana Johan Setiawan Raymond Oetama Vegeterrikin Gousander