Implementation of the Convolutional Neural Network Algorithm in Sentiment Analysis of the Influence of Brand Image and Price Label Analytical Study: Skincare Product Skintific
Main Article Content
Abstract
There are various kinds of products that are included in cosmetic products, namely personal care, make up, fragrance including perfume, hair care, and skincare. Skincare has become one of the primary needs for women in Indonesia today, because skincare can maintain healthy skin. Skincare is a beauty product that is used by users to clean dirt on the face. In deciding to choose skincare products, of course, consumers are influenced by various factors such as skincare quality, brand image, price, and others. In addition, reviews of skincare products are also important as an effort by cosmetic companies to attract consumers' buying interest. One method in deep learning to analyze is the Convolutional Neural Network (CNN). Sentiment analysis is carried out as an effort to evaluate and determine consumer satisfaction with skincare products as well as materials for service improvement. This study uses the CNN method which in this model has several stages such as data scraping, data preprocessing which consists of data cleansing & case folding, stemming, tokenizing, filtering (stopword removal), labeling process, modeling, and model evaluation. In this study, the data used is scraping data on the Tokopedia website about skincare skintific products. The data will be processed with the CNN model to obtain an accuracy value resulting from the performance of the model.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Positif : Jurnal Sistem dan Teknologi Informasi agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
[1] D. M. Dwitari and L. Kusdibyo, “Mengukur Sikap dan Minat Beli Konsumen Terhadap Produk Skin Care dengan Menggunakan Brand Image Merek Lokal,” Ind. Res. Work. Natl. Semin., vol. 10, no. 1, pp. 686–696, 2019.
[2] A. Z. N. Fauzia and A. Sosianika, “Analisis Pengaruh Brand Image, Perceived Quality, dan Country of Origin Terhadap Minat Beli Produk Skincare Luar Negeri,” Pros. Ind. Res. Work. Natl. Semin., vol. 12, pp. 1068–1072, 2021.
[3] K. Kussudyarsana and L. Rejeki, “Pengaruh Media Sosial Online Dan Media Promosi Offline Terhadap Pemilihan Merek Produk Skincare Dan Klinik Kecantikan,” J. Manaj. Dayasaing, vol. 22, no. 1, pp. 1–11, 2020, doi: 10.23917/dayasaing.v22i1.10701.
[4] N. Rohadatul Anisa, “Pengaruh Label Halal dan Inovasi Produk Terhadap Minat Beli Ulang (Survei Online Pada Pengikut Instagram @Safiindonesia),” J. Indones. Sos. Sains, vol. 2, no. 12, pp. 2138–2146, 2021, doi: 10.36418/jiss.v2i12.453.
[5] D. Marlina, K. T. Basuki, Z. M. Zaki, and ..., “Sentiment Analysis on Natural Skincare Products,” J. Data …, vol. 2022, no. August, 2022, [Online].
[6] D. Hertina and D. Wulandari, “Pengaruh harga, kualitas produk dan brand image terhadap keputusan pembelian,” Fair Value J. Ilm. Akunt. dan Keuang., vol. 4, no. 12, pp. 5379–5384, 2022, doi: 10.32670/fairvalue.v4i12.1988.
[7] B. P. Stevy, “Brand image,” New Sci., vol. 165, no. 2229, p. 57, 2019.
[8] A. Hapsila and I. Astarina, “Pengaruh Label Halal, Brand Image Dan Harga Terhadap Keputusan Pembelian Produk Kosmetik Rk,” J. Manaj. dan Bisnis, vol. 9, no. 1, pp. 41–50, 2020.
[9] F. A. Irawan and D. A. Rochmah, “Penerapan Algoritma CNN Untuk Mengetahui Sentimen Masyarakat Terhadap Kebijakan Vaksin Covid-19,” J. Inform., vol. 9, no. 2, pp. 148–158, 2022, doi: 10.31294/inf.v9i2.13257.
[10] A. Rakhman and M. R. Tsani, “Analisis Sentimen Review Media Massa,”
Smart Comp, vol. 8, no. 2, pp. 78–82, 2019.
[11] P. L. Parameswari and Prihandoko, “Penggunaan Convolutional Neural Network Untuk Analisis Sentimen Opini Lingkungan Hidup Kota Depok Di Twitter,” J. Ilm. Teknol. dan Rekayasa, vol. 27, no. 1, pp. 29–42, 2022, doi: 10.35760/tr.2022.v27i1.4671.
[12] S. H. Badjrie, O. N. Pratiwi, and H. D. Anggana, “Analisis Sentimen Review Customer Terhadap Produk Indihome Dan First Media Menggunakan Algoritma Convolutional Neural Network Review Analysis Sentiment Customer Product Indihome And First Media Using Convolutional Neural Network,” eProceedings …, vol. 8, no. 5, pp. 9049– 9061, 2021, [Online].
[13] S. N. Listyarini and D. A. Anggoro, “Analisis Sentimen Pilkada di Tengah Pandemi Covid-19 Menggunakan Convolution Neural Network (CNN),” J. Pendidik. dan Teknol. Indones., vol. 1, no. 7, pp. 261–268, 2021, doi: 10.52436/1.jpti.60.
[14] I. M. A. Susilayasa, A. A. I. Eka Karyawati, L. G. Astuti, L. A. A. Rahning Putri, I. G. Arta Wibawa, and I. K. Ari Mogi, “Analisis Sentimen Ulasan E- Commerce Pakaian Berdasarkan Kategori dengan Algoritma Convolutional Neural Network,” JELIKU (Jurnal Elektron. Ilmu Komput. Udayana), vol. 11, no. 1, p. 1, 2022, doi: 10.24843/jlk.2022.v11.i01.p01.
[15] E. Y. Hidayat and D. Handayani, “Penerapan 1D-CNN untuk Analisis Sentimen Ulasan Produk Kosmetik Berdasar Female Daily Review,” J. Nas. Teknol. dan Sist. Inf., vol. 8, no. 3, pp. 153–163, 2023, doi: 10.25077/teknosi.v8i3.2022.153-163.
[16] I. Miati, “Pengaruh Citra Merek (Brand Image) Terhadap Keputusan Pembelian Kerudung Deenay (Studi pada Konsumen Gea Fashion Banjar),” Abiwara J. Vokasi Adm. Bisnis, vol. 1, no. 2, pp. 71–83, 2020, doi: 10.31334/abiwara.v1i2.795.
[17] M. S. Anam, D. L. Nadila, T. A. Anindita, and R. Rosia, “Pengaruh Kualitas Produk, Harga dan Brand Image terhadap Keputusan Pembelian Produk Hand and Body Lotion Merek Citra,” Jesya (Jurnal Ekon. Ekon. Syariah), vol. 4, no. 1, pp. 120–136, 2020, doi: 10.36778/jesya.v4i1.277.
[18] I. Bima, I. N. Nurfarida, and E. Sarwoko, “Determinan keputusan pembelian di Shopee: online customer review, brand image dan promosi,” Manag. Bus. Rev., vol. 5, no. 2, pp. 239–250, 2021, doi: 10.21067/mbr.v5i2.5554.
[19] D. C. Putri and C. K. Dewi, “Pengaruh Brand Image Terhadap Purchase Intention Melalui Brand Loyalty Pada Billionaires Project,” eProceedings Manag., vol. 8, no. 3, 2021,
[20] F. Edrin and N. Fhatiyah, “Pengaruh Brand Ambassador Dan Brand Image Terhadap Keputusan Pembelian Konsumen ( Kasus Pada Event Free Photocard BTS Tokopedia ),” Proceeding Semin. Nas. Bisnis Seri IV, pp. 78–84, 2022.
[21] V. Wu and Z. Chen, “Saliency map generation based on saccade target theory,” Proc. - IEEE Int. Conf. Multimed. Expo, pp. 529–534, 2017, doi: 10.1109/ICME.2017.8019456.
[22] B. Review, “Journal of Technopreneurship,” vol. 1, no. 1, pp. 58–68, 2020.
[23] L. R. H. Irwanto, “Mengenal Arti Skincare dan Tahapan Merawat Kulit,” J. Komun., vol. 11, no. 2, pp. 119–128, 2020,
[24] Y. Yuliska, D. H. Qudsi, J. H. Lubis, K. U. Syaliman, and N. F. Najwa, “Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 5, p. 1067, 2021, doi: 10.25126/jtiik.2021854842.
[25] B. Kurniawan, A. Ari Aldino, and A. Rahman Isnain, “Sentimen Analisis Terhadap Kebijakan Penyelenggara Sistem Elektronik (Pse) Menggunakan Algoritma Bidirectional Encoder Representations From Transformers (Bert),” J. Teknol. dan Sist. Inf., vol. 3, no. 4, pp. 98–106, 2022,
[26] A. R. Maulana and N. Rochmawati, “Opinion Mining Terhadap Pemberitaan Corona di Instagram menggunakan Convolutional Neural Network,” J. Informatics Comput. Sci., vol. 2, no. 01, pp. 53–59, 2020, doi: 10.26740/jinacs.v2n01.p53-59.
[27] F. M. Ihsan and M. N. Fauzan, “Identifikasi Audio Ancaman Menggunakan Metode Convolutional Neural Network,” J. Sist. dan Teknol. Inf., vol. 10, no. 4, pp. 446–452, 2022, doi: 10.26418/justin.v10i4.52433.
[28] K. Kowsari, K. J. Meimandi, M. Heidarysafa, S. Mendu, L. Barnes, and D. Brown, “Text classification algorithms: A survey,” Inf., vol. 10, no. 4, pp. 1–68, 2019, doi: 10.3390/info10040150.