Pengukuran Retensi Pelanggan Insyira Oleh-Oleh Berdasarkan Analisis Sentimen Pengguna Instagram
DOI:
https://doi.org/10.47065/jieee.v4i4.2473Keywords:
Customer Retention; Data Scraping; Instagram; Lexicon; Sentiment AnalysisAbstract
Instagram as a social media platform has opened new opportunities for businesses to market their products creatively and efficiently. Through interactive features such as the comments section, users can express their opinions about the products or services offered. These comments contain sentiments that can be analyzed to understand customer perceptions. This study aims to measure customer retention using sentiment analysis of Instagram user comments. The comment data was collected using web scraping techniques from the Instagram page, followed by labeling using a lexicon-based approach and sentiment classification into positive, negative, and neutral categories through sentiment analysis. This analysis is linked to the concept of customer retention, which is an important strategy for maintaining long-term relationships with consumers. Furthermore, the results of customer retention analysis in this study show that positive sentiment has a retention rate of 53.4% (303 out of 567 comments), neutral sentiment 6.9% (45 out of 650 comments), and negative sentiment 15.1% (22 out of 146 comments). Overall, 370 out of 1,363 comments, or 27.1%, were categorized as contributing to retention. In terms of the proportion of sentiment contributing to total retention, positive comments dominate with 81.9% (303 out of 370). These findings suggest that although neutral comments are the most frequent, positive sentiment contributes the most to customer retention. This indicates that positive sentiment is a strong predictor of customer loyalty, highlighting the importance for companies to foster positive experiences through quality products, reliable services, and active engagement on social media. Insyira is capable of maintaining customer retention, especially from those who express positive sentiment, which reflects satisfaction with its products, services, and interactions on social media
Downloads
References
A. A. P. Moh. Rizki Fahreza, “Crm Di Era Media Sosial: Memanfaatkan Platform Sosial Untuk Meningkatkan Interaksi Pelanggan,” J. Manajemen, Akuntansi, Dan Ekon., Vol. 6, No. 1, Pp. 61–70, 2024, Doi: Https://Doi.Org/10.8734/Musytari.V6i1.4034.
R. R. Agam Arsyad, Yaqub Dalimunthe, “Penerapan Sosial Media Dalam Strategi Meningkatkan Umkm,” Neraca Manajemen, Ekon., Vol. 3, No. 1, Pp. 111–121, 2024, Doi: Https://Doi.Org/10.8734/Musytari.V3i6.1803.
M. D. Yuniar, “Aplikasi Instagram Sebagai Sarana Promosi Bisnis Online?: Sebuah Studi Pada Akun Warung Mamak,” Intelektiva J. Ekon. Sos. Hum., Vol. 2, No. 3, Pp. 1–9, 2020, [Online]. Available: Https://Www.Jurnalintelektiva.Com/Index.Php/Jurnal/Article/View/298
S. A. Quraniah And I. Mayasari, “Analisis Penerapan Customer Relationship Management Pada Website Dan Media Sosial Instagram (Studi Kasus Pada Shopee, Toko Kopi Tuku, Zalora, Dan Pt. Tirta Investama (Aqua),” J. Manaj. Dan Bisnis Madani, Vol. 3, No. 1, Pp. 1–19, 2022, Doi: 10.51353/Jmbm.V3i1.530.
A. Tazkia And Y. Arkhiansyah, “Implementasi Naive Bayes Classifier Dalam Menganalisis Sentimen Pelanggan Mie Gacoan Pada Instagram,” J. Tek., Vol. 7, No.3, No. X, Pp. 139–149, 2023, Doi: 10.5281/Zenodo.10851075.
M. W. A. Putra, Susanti, Erlin, And Herwin, “Analisis Sentimen Dompet Elektronik Pada Twitter Menggunakan Metode Naïve Bayes Classifier,” It J. Res. Dev., Vol. 5, No. 1, Pp. 72–86, 2020, Doi: 10.25299/Itjrd.2020.Vol5(1).5159.
N. Susi, S. Sugiana, And B. Musty, “Analisis Data Sistem Informasi Monitoring Marketing; Tools Pengambilan Keputusan Strategic,” Jutisi J. Ilm. Tek. Inform. Dan Sist. Inf., Vol. 12, No. 2, Pp. 696–708, 2023, [Online]. Available: Https://Repository.Lpkia.Ac.Id/Id/Eprint/9/1/1240-3383-1-Pb.Pdf
H. Syah And A. Witanti, “Analisis Sentimen Masyarakat Terhadap Vaksinasi Covid-19 Pada Media Sosial Twitter Menggunakan Algoritma Support Vector Machine (Svm),” J. Sist. Inf. Dan Inform., Vol. 5, No. 1, Pp. 59–67, 2022, Doi: 10.47080/Simika.V5i1.1411.
S. A. Bahrainian And A. Dengel, “Sentiment Analysis Using Sentiment Features,” Proc. - 2013 Ieee/Wic/Acm Int. Jt. Conf. Web Intell. Intell. Agent Technol. - Work. Wi-Iatw 2013, Vol. 3, No. 13, Pp. 26–29, 2013, Doi: 10.1109/Wi-Iat.2013.145.
G. Gautam And D. Yadav, “Sentiment Analysis Of Twitter Data Using Machine Learning Approaches And Semantic Analysis,” 2014 7th Int. Conf. Contemp. Comput. Ic3 2014, Pp. 437–442, 2014, Doi: 10.1109/Ic3.2014.6897213.
D. S. Wahyuni, E. Sunarya, And N. Norisanti, “Analisis Retensi Pelanggan Dan Switching Costs Terhadap Loyalitas Pelanggan Indihome,” J. Manag. Bussines, Vol. 4, No. 1, Pp. 99–107, 2022, Doi: 10.31539/Jomb.V4i1.741.
Q. F. F. Safiesza, M. Afdal, And R. Novita, “Sentimen Analisis Social Crm Pada Media Sosial Instagram Menggunakan Machine Learning Untuk Mengukur Retensi Pelanggan,” Build. Informatics, Technol. Sci., Vol. 6, No. 2, Pp. 606–616, 2024, Doi: 10.47065/Bits.V6i2.5269.
B. Erik Sibarani, S. Setiawan, T. Hadi, T. Williams, And T. Mkhize, “Penggunaan Data Analistik Dalam Strategi Pemasaran Untuk Mempertahankan Loyalitas Pelanggan,” Vol. 3, No. 1, Pp. 30–39, 2024, Doi: 10.33050/Mentari.V3i1.592.
U. H. Yulianto, “Dampak Penerapan Sosial Crm Dan Peran Instagram Sebagai Alat Promosi Pariwisata (Jawa Timur Park3),” Jesya, Vol. 6, No. 2, Pp. 2230–2241, 2023, Doi: 10.36778/Jesya.V6i2.1215.
E. A. Sinambela, E. Retnowati, E. Ernawati, U. P. Lestari, And M. Munir, “Pengaruh Kualitas Layanan Dan Citra Perusahaan Terhadap Retensi Pelanggan Bengkel Resmi Honda Surabaya,” J. Baruna Horiz., Vol. 5, No. 1, Pp. 17–25, 2022, Doi: 10.52310/Jbhorizon.V5i1.73.
D. G. Eka Tirtawati, “Keterkaitan Antara Kualitas Pelayanan, Kepuasan Pelanggan Dan Retensi Pelanggan Di Sektor Perbankan,” J. Entrep. Manag. Ind., Vol. 4, No. 2, Pp. 49–55, 2021, Doi: 10.36782/Jemi.V4i2.2168.
N. M. S. Hadna, I. S. Paulus, And W. Winarno, “Studi Literatur Tentang Perbandingan Metode Untuk Proses Analisis Sentimen Di Twitter,” Semin. Nas. Teknol. Inf. Dan Komun., No. March, Pp. 1–8, 2016, [Online]. Available: Https://Id.Scribd.Com/Document/540279328/95
A. Faesal, A. Muslim, A. H. Ruger, And K. Kusrini, “Sentimen Analisis Terhadap Komentar Konsumen Terhadap Produk Penjualan Toko Online Menggunakan Metode K-Means,” Matrik J. Manajemen, Tek. Inform. Dan Rekayasa Komput., Vol. 19, No. 2, Pp. 207–213, 2020, Doi: 10.30812/Matrik.V19i2.640.
D. Safryda Putri And T. Ridwan, “Analisis Sentimen Ulasan Aplikasi Pospay Dengan Algoritma Support Vector Machine,” J. Ilm. Inform., Vol. 11, No. 01, Pp. 32–40, 2023, Doi: 10.33884/Jif.V11i01.6611.
N. A. Rakhmawati, M. I. Aditama, R. I. Pratama, And K. H. U. Wiwaha, “Analisis Klasifikasi Sentimen Pengguna Media Sosial Twitter Terhadap Pengadaan Vaksin Covid-19,” J. Inf. Eng. Educ. Technol., Vol. 4, No. 2, Pp. 90–92, 2020, Doi: 10.26740/Jieet.V4n2.P90-92.
Y. Cahyono And S. Saprudin, “Analisis Sentiment Tweets Berbahasa Sunda Menggunakan Naive Bayes Classifier Dengan Seleksi Feature Chi Squared Statistic,” J. Inform. Univ. Pamulang, Vol. 4, No. 3, Pp. 87–94, 2019, Doi: 10.32493/Informatika.V4i3.3186.
F. Miley And A. Read, “Using Word Clouds To Develop Proactive Learners,” J. Scholarsh. Teach. Learn., Vol. 11, No. 2, Pp. 91–110, 2011, [Online]. Available: Http://Search.Ebscohost.Com/Login.Aspx?Direct=True&Db=Eric&An=Ej932148&Site=Ehost-Live
F. Sudirjo, T. Purwati, W. Widyastuti, Y. U. Budiman, And ..., “Analisis Dampak Strategi Pemasaran Digital Dalam Meningkatkan Loyalitas Pelanggan: Perspektif Industri E-Commerce,” J. Pendidik. …, Vol. 7, Pp. 7524–7532, 2023, [Online]. Available: Https://Jptam.Org/Index.Php/Jptam/Article/View/7422%0ahttps://Jptam.Org/Index.Php/Jptam/Article/Download/7422/6136
Y. Ibrahim, T. Abbas, And M. Kamal, “The Impact Of Online Communities-Based Social Customer Relationship Management (S-Crm) On Customer Loyalty And Brand Image On Hotels,” J. Assoc. Arab Univ. Tour. Hosp., Vol. 0, No. 0, Pp. 0–0, 2021, Doi: 10.21608/Jaauth.2021.84867.1202.
M. Edward And S. Sahadev, “Role Of Switching Costs In The Service Quality, Perceived Value, Customer Satisfaction And Customer Retention Linkage,” Asia Pacific J. Mark. Logist., Vol. 23, No. 3, Pp. 327–345, 2011, Doi: 10.1108/13555851111143240
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pengukuran Retensi Pelanggan Insyira Oleh-Oleh Berdasarkan Analisis Sentimen Pengguna Instagram
ARTICLE HISTORY
Issue
Section
Copyright (c) 2025 Fiki, Inggih Permana, Febi Nur Salisah, Eki Saputra, Arif Marsal

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment 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 acknowledgment 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 (Refer to The Effect of Open Access).


