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All Journal JOINTECOMS (Journal of Information Technology and Computer Science)
Putri, Oktaviani Enjela
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Computer Science & IT

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ANALISIS SENTIMEN BERBASIS ASPEK DAN DETEKSI EMOSI PADA COFFEE SHOP PALANGKA RAYA MENGGUNAKAN DEEP LEARNING Putri, Oktaviani Enjela; Pranatawijaya, Viktor Handrianus; Kristianti, Novera
Journal of Information Technology and Computer Science Vol. 4 No. 3 (2024): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v4i3.19185

Abstract

Industri coffee shop terus berkembang pesat, tetapi mengelola ulasan online menjadi tantangan bagi pengelola bisnis dalam meningkatkan layanan. Penelitian ini bertujuan menganalisis sentimen berbasis aspek dan deteksi emosi pada ulasan pelanggan Coffee Shop di Palangka Raya menggunakan deep learning. Data ulasan dari 103 Coffee Shop dikumpulkan melalui Google Maps dengan Instant Data Scraper dan diproses melalui pembersihan data, normalisasi teks, stopword, tokenisasi, dan stemming. Analisis dilakukan untuk mengklasifikasikan ulasan ke dalam aspek seperti Food and Drinks, Ambience, Place, dan Service serta mendeteksi emosi yang terkandung. Model deep learning yang digunakan adalah BERT dan LSTM. Hasil menunjukkan aspek "service" paling sering dibahas, diikuti oleh "place", "food and drinks", dan "ambience". Sentimen tertinggi adalah positif, diikuti negatif dan netral, dengan emosi dominan joy, anticipation, dan trust. Model BERT mencapai akurasi 99% dalam klasifikasi sentimen, memberikan kontribusi untuk memahami persepsi pelanggan terhadap layanan Coffee Shop serta menjadi referensi bagi pengelola untuk meningkatkan kualitas layanan berdasarkan ulasan pelanggan.
Aplikasi Pemesanan Jasa Nail Art dan Eyelash Extension Berbasis Website (Studi Kasus: Pretty Bloom) Putri, Oktaviani Enjela; Priskila, Ressa
Journal of Information Technology and Computer Science Vol. 3 No. 1 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i1.10799

Abstract

Pretty Bloom is an individual business that is personally managed by the owner of Pretty Bloom, therefore the problem with the ordering system is currently done manually and recording customer schedules is also still done manually by recording order data on a smartphone. For this reason, Pretty Bloom must look for other alternatives in handling the ordering system and promotion system. Therefore a website was built that can manage, store, and place orders to market Nail Art and Eyelash Extension services. The methodology used in designing and building this website is the waterfall method with the stages of Requirement Definition, System and Software Design, Implementation and Unit Testing and finally, Integration and System Testing using Black Box Testing. From the test results using Black box Testing, all the features on the website can run according to their function. This website can be used by Pretty Bloom to manage Nail Art and Eyelash Extension service catalog data and ordering data. In addition, customers can use it to view price list information for Nail Art and Eyelash Extension services offered and can place orders through the website.
Co-Authors Kristianti, Novera Priskila, Ressa Viktor Handrianus Pranatawijaya