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

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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.
Development of OpenAI API-Based Chatbot to Improve User Interaction on the JBMS Website Gerald Santoso; Johan Setiawan; Agus Sulaiman
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3301

Abstract

This study presents an innovative chatbot, powered by OpenAI API, designed to enhance the user experience on the Journal of Business, Management, and Social Studies (JBMS) website. Chatbots have gained prominence for improving online interactions and information retrieval. The chatbot's development followed a structured prototype methodology, including Requirement Gathering, Prototype Building, Requirement Refinement, Customer Evaluation, and Design and Implementation. User Acceptance Testing (UAT) scored an average of 4.14, signifying high user satisfaction. UAT results showed positive user experiences and satisfaction with the chatbot. Integration of OpenAI API improved information extraction from journal articles and personalized article recommendations. Stakeholder feedback from JBMS's CEO, students, and UMN lecturers affirmed high satisfaction levels. Future research will refine the chatbot's features to align better with user needs, solidifying its role as an innovative tool for information retrieval within JBMS, and enhancing user service.
Lessons Learned from Building Smart Cities: A Systematic Literature Review of Case Studies in Singapore and Seoul Dasmond Tan; Johan Setiawan; Sheera Anela; Shyfa Ariesta Rustian
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This systematic literature review explores the characteristics and criteria essential for smart city development. The study adheres to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) framework and employs a meticulous approach to select relevant articles from the Scopus database. The inclusion criteria ensure that all selected articles were published between 2019 and 2023, are written in English, and originate from journals ranked within the Q1-Q4 quartiles of Scopus, thus guaranteeing the quality and relevance of the reviewed literature. This review probes into how the characteristics of residents and infrastructure motivate cities to develop their smart city initiatives. The study elucidates how technology digitizes various city aspects. Findings from the reviewed articles provide comprehensive insights into city development, integrating Information and Communication Technology (ICT), governance, and citizen participation in the process.
Co-Authors Agus Sulaiman Dasmond Tan Gerald Santoso Iwan Prasetiawan Sheera Anela Shyfa Ariesta Rustian Vegeterrikin Gousander