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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rahmadani, Dea Caesy
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Computer Science & IT Engineering

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Implementasi Sistem Enterprise Resource Planning Berbasis Odoo Modul Point of Sale pada Perusahaan PT. GF Mulyono, Eliana Sachi; Rahmadani, Dea Caesy; Purbaya, Muhammad Eka
Prosiding Sains Nasional dan Teknologi Vol 11, No 1 (2021): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 11 2021
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v1i1.5026

Abstract

PT GF adalah perusahaan yang memproduksi dengan bahan baku susu murni. Pada kesempatan kali in PT GF ingin mengembangkan sistem penjualan produk agar customer dapat melakukan pembelian secara langsung dari pabriknya. Sehingga perusahaan GF melakukan implementasi pada website mereka. Pada website yang telah dimiliki akan di implementasikan sebuah modul Point Of Sale (POS) agar mempermudah customer melakukan pembayaran. Penelitian ini dilakukan untuk melakukan implementasi Point Of Sale (POS) dengan menggunakan aplikasi Odoo berbasis web. Dengan demikian customer akan terbantu dalam hal transaksi pembayaran. Kata Kunci: Odoo, Point Of Sale (POS), PT.GF
Analisis Emosi Wisatawan Menggunakan Metode Lexicon Text Analysis Rahmadani, Dea Caesy; Khomsah, Siti; Fathoni, M Yoka
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6690

Abstract

Travelers often write comments on the internet, usually about experiences, opinions, and even complaints. Comment data on the internet can provide information for stakeholders. This information can be extracted using text analysis methods such as positive and negative sentiments. Sentiments can be detailed into eight types of emotions. This study aims to extract emotions from tourists' comments on Google Map, especially on tourist-site accounts in BARLINGMASCAKEB. The dataset comments were crawled from ten tourism objects in BARLINGMASCAKEB. The method used is Lexicon Emotion Analysis. The results show that the majority of tourists have positive experiences. It is shown by the emotion "joy" and "trust." Emotions "joy" and "trust" have positive meanings, so it can be said that the majority of tourists feel positive emotions. There are sites that present highest emotions of "joy": Aquarium-Purbasari-Pancuran-Mas with 33.52%, Lembah-Asri-Serang with 30.85%, Sanggaluri-Reptile-Park by 30, 27%, Baturaden Botanical-Gardens with 27, 67 %, and Curug-Jenggala by 23.4%. At the same time, the highest types of "trust" emotions are Benteng-Pandem with 27.41%, Arjuna-Temple with 26.6%, Sikidang-Crater with 20.71%, and Menganti-Beach with 25, 74%. Only one site, the World Miniature Park, gives the highest "anticipation" emotion. Usually, caring words represent anticipation emotions, so they can still be categorized into positive emotions. The extraction of emotions is affected by the process of emotion-labeling of each comment, so further research is recommended to develop a lexicon emotion dictionary. The results of this study are expected to provide benefits for the development of the tourism industry in the BARLINGMASCAKEB area and for the academic world, especially regarding the application of text mining in the tourism sector
Co-Authors M Yoka Fathoni Muhammad Eka Purbaya Mulyono, Eliana Sachi Siti Khomsah, Siti