Penerapan Chatbot Auto Reply pada Telegram terhadap Pengembangan Bisnis Penjualan Sepatu Menggunakan Artificial Intelligence Markup Language

Penulis

  • Fransisco Fransisco Universitas Pamulang
  • Faris Akbar Universitas Pamulang
  • Sischa Kurniasari Universitas Pamulang
  • Muhammad Ibnu Hibban Universitas Pamulang
  • Teti Desyani Universitas Pamulang
  • Endar Nirmala Universitas Pamulang

Kata Kunci:

Website, Sales, Chatbot, Telegram, Artificial Intelligence

Abstrak


The imbalance in the number of workers and customer demand is a problem that must be faced by business actors today. With a chatbot, it can help business people handle thousands of chats from customers who want to ask about sales products. Chatbots can also save on operational costs and provide 24/7 active service. Indirectly this can provide customer connection to the store. Therefore, this study will discuss the Application of the Auto Reply Chatbot on Telegram to the Development of a Shoe Sales Business Using Artificial Intelligence Markup Language. This system involves a shoe sales information system website as a medium to provide services to customers related to sales information. And a chatbot that implements an AIML (Artificial Intelligence Markup Language) system as a virtual assistant that connects customers and information from the database. Where this chatbot will respond to conversations submitted by customers, besides that it can also retrieve data in the form of information in sales data. The system which is designed using the Javascript, PHP, Python, PDO, and MySQL programming languages as the database.System testing will show that the sales information system website is functioning properly in managing (Create, Read, Update, Delete) customer data, stock of goods, goods sold and other data, while the Chatbot test shows that the program can respond via the Telegram application, starting from messages asking for stock, item prices or requesting information from the database.

Biografi Penulis

Fransisco Fransisco, Universitas Pamulang

Pamulang University

Referensi

Amalia, E. L., & Wibowo, D. W. (2019). Rancang Bangun Chatbot Untuk Meningkatkan Performa Bisnis. Jurnal Ilmiah Teknologi Informasi Asia, 13(2), 137-142. doi:10.32815/jitika.v13i2.410

Astuti, R. N., & Fatchan, M. (2019). Perancangan Aplikasi Teknologi Chatbot Untuk Industri Komersial 4.0. Prosiding Seminar Nasional Teknologi dan Sains (SnashTeks) (pp. 339-348). Bekasi: SnashTeks.

Habiby, A. I., & Yamasari, Y. (2017). Sistem Informasi Sekolah Berbasis Web (Studi Kasus : TK Kusuma Putra Kota Mojokerto). Jurnal Manajemen Informatika, 7(2), 94-100.

Hakim, L., Gustina, S., Fadila, S. P., & Faudiah, S. U. (2020). Perancangan Chatbot di Universitas Proklamasi 45. Edumatic, 4(1), 91-100. doi:10.29408/edumatic.v4i1.2157

Kirlyana, B., & Rosyida, S. (2016). Sistem Informasi Penjualan Sepatu Handmade Berbasis Web. Information Management for Educators and Professionals : Journal of Information Management, 1(1), 22-31.

Lamada, M. S., Bahri, H., & Iswanto, R. (2019). Pengembangan Prototipe Chatbot Informasi Peluang Bisnis di Bidang Teknologi dan Informasi. Makasar: Universitas Negeri Makasar.

Masdar, R., & Lianto, R. (2018). Perancangan Aplikasi Penjualan Sepatu Berbasis Web pada Zashkiya Shoes Pontianak. Jurnal ENTER: Jurnal Online Mahasiswa Program Studi Teknik Informatika, 1(1), 282-293. doi:10.30700/.v1i1.814

Ramadhan, D. F., Noertjahjono, S., & Irawan, J. D. (2019). Penerapan Chatbot Auto Reply Pada Whatsapp Sebagai Pusat Informasi Praktikum Menggunakan Artificial Intelegence Markup Language. JATI (Jurnal Mahasiswa Teknik Informatika), 4(1), 198-205. doi:10.36040/jati.v4i1.2375

Sekarwati, R. A., Sururi, A., Arifin, R. M., & Wibowo, A. (2021). Survei Metode Pengujian Chatbot pada Media Sosial Untuk Mengatur Tingkat Akurasi. Jurnal Ilmiah SISFOTENIKA, 11(2), 172-182. doi:10.30700/jst.v11i2.1099

Yulianti, Y., Saifudin, A., Haryono, W., Zulfikar, A. F., & Desyani, T. (2020). Pengembangan dan Sosialisasi Website untuk Meningkatkan Penyebaran Informasi SMP Islam Madinatul I’lmi Ciputat-Tangerang Selatan. KOMMAS: Jurnal Pengabdian Kepada Masyarakat, 1(1), 16-24.

Unduhan

Diterbitkan

2022-05-30

Cara Mengutip

Fransisco, F., Akbar, F., Kurniasari, S., Hibban, M. I., Desyani, T., & Nirmala, E. (2022). Penerapan Chatbot Auto Reply pada Telegram terhadap Pengembangan Bisnis Penjualan Sepatu Menggunakan Artificial Intelligence Markup Language. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 5(2), 85–90. Diambil dari https://openjournal.unpam.ac.id/index.php/JTSI/article/view/14733

Terbitan

Vol 5 No 2 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi

Bagian

Article

Lisensi

Hak Cipta (c) 2022 Fransisco Fransisco, Faris Akbar, Sischa Kurniasari, Muhammad Ibnu Hibban, Teti Desyani, Endar Nirmala

Creative Commons License

Artikel ini berlisensi Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. 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.
  2. 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.
  3. 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 (See The Effect of Open Access).

Jurnal Teknologi Sistem Informasi dan Aplikasi have CC BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.

In developing strategy and setting priorities, Jurnal Teknologi Sistem Informasi dan Aplikasi recognize that free access is better than priced access, libre access is better than free access, and libre under CC BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License

YOU ARE FREE TO:

  • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • The licensor cannot revoke these freedoms as long as you follow the license terms