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All Journal Journal of Computer Science and Research Jurnal Teknologi Rekayasa Informasi dan Komputer
Idhami, Rahmat
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science

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Rancang Bangun Aplikasi Augmented Reality Sebagai Media Penawaran Desain Interior Berbasis Android Idhami, Rahmat; Amri, Amri; Aswandi, Aswandi
Jurnal Teknologi Rekayasa Informasi dan Komputer Vol 4, No 1 (2021): JURNAL TRIK - POLITEKNIK NEGERI LHOKSEUMAWE
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jtrik.v3i2.1884

Abstract

Pemanfaatan teknologi augmented reality semakin pesat seperti mobile android, Teknologi ini dapat dimanfaatkan sebagai sebagai media penawaran yang interaktif khususnya penawaran Desain Interior. Penelitian ini bertujuan untuk mengetahui jarak dan sudut serta mengetahui perbedaan sistem aplikasi pada setiap aplikasi, Kemudian aplikasi ini akan melacak dan mendeteksi marker (penanda) dengan menggunakan system tracking, setelah marker dideteksi, model objek 3D muncul diatas marker seolah-olah model tersebut nyata. Untuk model 3D ini, model harus dibuat terlebih dahulu dengan menggunakan perangkat lunak, Aplikasi dibuat dengan menggunakan metode markerless user defined target dan melakukan pengujian tentang pemanfaatan metode tersebut menggunakan parameter datar, bentuk objek, jarak, cahaya dan sudut kamera pada saaat tracking. Hasil dari pengujian, aplikasi ini berjalan dengan baik ketika jarak minimum yang terdeteksi yaitu 40 cm, sedangkan jarak maksimum yang terdeteksi 120 cm, dan jarak dengan sudut pandang 45 0 dan memiliki cahaya yang cukup dari proses camera yang ideal.
SENTIMENT ANALYSIS OF E-COMMERCE REVIEWS WITH NATURAL LANGUAGE PROCESSING (NLP) Idhami, Rahmat; Saputra, Andri; Fadly, Taufa; Silaban, Robet
Journal of Computer Science and Research (JoCoSiR) Vol. 2 No. 2 (2024): April: Computer Science
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65126/jocosir.v2i2.61

Abstract

E-commerce in Indonesia is growing rapidly, with Shopee as a leading platform. This study uses Natural Language Processing algorithms to analyze customer satisfaction sentiment from reviews on the Google Play Store. The results identify issues related to courier services and provide recommendations for improving service quality, delivery tracking systems, and overall customer satisfaction and loyalty towards Shopee. This chapter describes the research methodology for sentiment analysis of Shopee reviews using Natural Language Processing methods. These stages include data collection, cleaning, pre-processing, labeling, data separation, classification, and negative word analysis. This study aims to identify the dominant negative sentiment in Google Play Store reviews. This study outlines data scraping, cleaning, pre-processing, labeling, and Natural Language Processing classification to identify negative words in Shopee user reviews. This method provides insights into courier service issues and recommendations for couriers frequently highlighted in reviews, with a focus on future service improvements. Based on the study, Natural Language Processing is effective in identifying positive and negative sentiment in Shopee with an accuracy of 86-87%. Negative sentiment was dominant (62.5%), particularly regarding "recommended couriers," with complaints about delays and unprofessionalism. Recommendations included improving courier service quality, delivery tracking systems, customer communication, and courier training and supervision to improve customer satisfaction.
Co-Authors Amri Amri Andri Saputra Aswandi Aswandi, Aswandi Fadly, Taufa Silaban, Robet