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All Journal Jurnal Ilmiah Universitas Batanghari Jambi JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Nasional Komputasi dan Teknologi Informasi Iqtishoduna: Jurnal Ekonomi Islam Digital Transformation Technology (Digitech) Journal of Information System and Application Development
Aditya Galih Sulaksono, Aditya Galih
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Transportation Other

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Journal : journal of information system and application development

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Layanan pelanggan berbasis Natural Language Processing melalui chatbot pada aplikasi pesan Ardiansyah, Ricky Herman; Sulaksono, Aditya Galih
Journal of Information System and Application Development Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jisad.v1i1.9858

Abstract

The form of service to customers in an appropriate, fast and easy way is the main thing that every business actor needs to pay attention to. Including how to communicate with customers virtually through messaging applications. With the sophistication of information technology, it can be used to create new opportunities for business actors. One of them is Natural Language Processing or NLP technology which allows machine interaction with human natural language. This study aims to provide messaging services to customers effectively and efficiently. Implementation is done by using a chatbot on the messaging application. Chatbot is designed to be able to respond to customer messages automatically and in real-time by implementing the NLP method. Based on the observations made, it is known that the three categories of questions most frequently asked by customers are location, price list, and pick-up service. The results of the study show that chatbots created using natural language can be easily understood and used by customers. Business actors are also facilitated because they no longer need to reply to customer messages one by one, so that service to customers becomes more responsive and optimal.
Implementasi model Dynamic Systems Development untuk mengembangkan sistem informasi coffe shop berbasis website Elungan, Owen Vanessa Ariella; Sulaksono, Aditya Galih
Journal of Information System and Application Development Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jisad.v2i1.11042

Abstract

The trend of Micro, Small and Medium Enterprises (MSMEs) in the form of coffee shops continues to grow in Indonesia, including those that are currently often found in the Kepanjen area, Malang Regency. For communication needs, these shops form a community as a means of sharing information. Even though there are many benefits gained from the community, the platforms used are still limited to social media. This research aims to develop a website-based information system which will make it easier to manage activities that are being or will be carried out by the coffee shop community in the Kepanjen area. The Dynamic Systems Development model is used in this research as a benchmark for developing information systems. The results of system functional testing show that the website built can run well and is suitable for use. Through this information system, coffee shop owners located in Kepanjen can register to be promoted on the website. Apart from that, the information system created can make it easier to find information about coffee shops in the Kepanjen area.
Co-Authors Ardiansyah, Ricky Herman Elungan, Owen Vanessa Ariella Fitrianto, Moch. Fajar Futaqi, Faruq Ahmad Mardiana Andarwati Mohammad Toriquddin Sirken, Jane Petra Swalaganata, Galandaru Syahreza, M. Ryan