Pengembangan Sistem Informasi Rekomendasi Pemilihan Batik Klampar, Pamekasan Berbasis Chatbot Menggunakan Chatbase Website

Authors

  • Prita Dellia Universitas Trunojoyo Madura
  • Sigit Dwi Saputro Universitas Trunojoyo Madura
  • Muhamad Afif Effindi Universitas Trunojoyo Madura
  • Mochamad Habibie Dwi Prasetyo Universitas Trunojoyo Madura
  • Hurin In Liaf Detina Universitas Trunojoyo Madura
  • Ira Setiyawati Pendidikan Informatika
  • Renny Puji Astutik Universitas Trunojoyo Madura
  • Charlista Angel Puspta G Universitas Trunojoyo Madura

Keywords:

pengembangan, sistem informasi rekomendasi, batik klampar, chatbot, website chatbase

Abstract

This research discusses the development of a recommendation information system to make it easier for customers to select and purchase Klampar batik in Pamekasan. This process is often complicated because it involves many factors such as various motifs, quality and prices of batik on the market. To overcome this challenge, we developed a chatbot-based system using the Chatbase Website platform. This approach involves a preliminary study to identify customer problems, an analysis of their needs, and a literature review of current recommendation systems and chatbot technology. This research designs the architecture of a web-based chatbot system, determines a recommendation algorithm based on customer preferences, and integrates a database containing information on various motifs, prices and quality of Klampar batik. Next, build a user-friendly website and chatbot, train a recommendation model with historical customer data, and integrate the system with social media and popular messaging services to reach more customers. This research conducts system testing to ensure optimal performance and evaluates customer responses to chatbot recommendations. The results show that customers feel more confident in choosing Klampar batik after using this system. Additionally, the system also provides manufacturers with insight into customer preferences, which can be used to improve their production and offerings. This research concludes that the development of a chatbot-based Klampar batik recommendation information system with the Chatbase Website can overcome initial problems in selecting batik in Pamekasan.

Author Biographies

Sigit Dwi Saputro, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

Muhamad Afif Effindi, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

Mochamad Habibie Dwi Prasetyo, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

Hurin In Liaf Detina, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

Ira Setiyawati, Pendidikan Informatika

Univesitas Trunojoyo Madura

Renny Puji Astutik, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

Charlista Angel Puspta G, Universitas Trunojoyo Madura

Pendidikan Informatika, Universitas Trunojoyo Madura

References

Arkadiantika, I., Ramansyah, W., Effindi, M. A., & Dellia, P. (2020). Pengembangan Media Pembelajaran Virtual Reality pada Materi Pengenalan Termination dan Splicing Fiber Optic. Jurnal Dimensi Pendidikan dan Pembelajaran, 8(1), 29-36.

Dellia, P., Antoni, T. T., & Sulistiani, H. (2017). Rancang Bangun Sistem Infromasi Pengukuran Kesehatan Laporan Keuangan pada Perusahaan Jasa (Studi Kasus Perusahaan Jasa yang Terdaftar di BEI). Jurnal Tekno Kompak, 11(1), 24-28.

Dewi, I. O., & Pusparini, D. (2021). Pengaruh Produktivitas Pengrajin Batik Terhadap Kinerja Industri Sentra Batik Desa Klampar pada Masa Pandemi. Behavioral Accounting Journal, 4(2), 389–403. https://doi.org/10.33005/baj.v4i2.143

Dilnas Perdagangan dan Industri Kabupateln Pamekasan. 2016

Felbrulariyanti, H., Laksono, A. D., Wibowo, J. S., & Ultomo, M. S. (2021). Implelmelntasi Meltodel Collaborative Filtering untuk Sistem Rekomendasi Penjualan pada Toko Mebel. Jurnal Khatulistiwa Informatika, 44.

Hartatik, Nurhayati, S. D., & Widayani, W. (2021). Sistem Rekomendasi Wisata Kuliner di Yogyakarta dengan Metodel Item-Based Collaborative Filtering. Journal Automation Computer Information Systelm, 56.

Prasetyaningrum, M. E., & Trilaksana, G. U. S. (2020). Perkembangan Batik Tulis di Desa Klampar Kabupaten Pamekasan Tahun 2009-2017. Avatara: E-Journal Pendidikan Sejarah 2020, 8(1).

Rafidah, M. Y. (2023). Analisis Industri Batik dalam Pengelolaan Limbah dalam Upaya Sustainable Development Goals (SDGS) di provinsi Jambi. Media Bina Ilmiah, 17(8), 2041-2054. I

Saputro, S. D., Tukiran, T., & Supardi, Z. A. I. (2023, June). Analysis of students critical thinking ability in distance learning on physics course. In AIP Conference Proceedings (Vol. 2727, No. 1). AIP Publishing.

Team, A. (2023). Chatting with Chatbase Over the Rationality Issue of the Cost of Science. OSF Preprints. https://app.dimensions.ai/details/publication/pub.1156138398%0Ahttps://philpapers.org/archive/TEACWC.pdf

Ubaidi, U., & Dewi, N. P. (2020). Aplikasi Marketplace Batik Madura di Sentra Batik Pasar 17 Agustus Pamekasan. (JurTI) Jurnal Teknologi Informasi, 4(2), 292-302.

Yantika, u. F. (2023). Chatbot Sebagai Solusi Pembelajaran Mandiri untuk Bab Kimia Unsur: Tinjauan Literatur dan Rekomendasi Pengembangan dengan Addie. Dharmas education journal (de_journal), 4(1), 33-43.

Zuraiyah. (2019). Chatbot: Pengenalan dan Implementasi. Penerbit Pustaka Ilmu.

Published

2023-10-30

How to Cite

Dellia, P., Saputro, S. D., Effindi, M. A., Dwi Prasetyo, M. H., Detina, H. I. L., Setiyawati, I., … Puspta G, C. A. (2023). Pengembangan Sistem Informasi Rekomendasi Pemilihan Batik Klampar, Pamekasan Berbasis Chatbot Menggunakan Chatbase Website. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 6(4), 608–614. Retrieved from https://openjournal.unpam.ac.id/index.php/JTSI/article/view/34003