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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Best Journal (Biology Education, Sains and Technology)
Rosa, Adelia
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Immunology & microbiology Public Health

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Implementasi Algoritma Naive Bayes Terhadap Klasifikasi Jenis Pertanyaan Pada Perancangan Chatbot Untuk Aplikasi Penjualan Songket Rosa, Adelia; Salamah, Irma; Suroso, Suroso
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7908

Abstract

Rapid developments in science and technology have had a significant impact on all aspects of people's lives, especially in business. E-commerce has become a popular choice among internet users in Indonesia, including MSMEs. However, conventional sales of songket products still limit product reach and competitiveness. In addition, the sales process generally provides customer service in charge of interacting and serving customer inquiries that can be contacted via telephone number. However, it is considered less effective because the seller has difficulty when responding to various questions from customers, so customers have to wait to get answers regarding the information needed. Therefore, the purpose of this research is to design a chatbot for songket sales applications using the naive bayes algorithm in classifying the types of customer questions, to improve the efficiency and effectiveness of interactions between sellers and customers, and expand the market reach of songket products. This chatbot is designed to simulate interactive conversations and provide sales information to customers quickly and efficiently. The naive bayes algorithm was chosen due to its ease of implementation and high accuracy in text classification. In this study, the chatbot was tested with various types of user questions with 5% of the total 50 questions as testing data. The test results show that the chatbot can classify the type of question with an accuracy of 90% and a precision value of 94%, recall 92%, and F1-Score 92%. In addition, testing of the application system as a whole shows that the application and chatbot are able to provide appropriate and efficient responses to various user questions. With this system, it is hoped that a technology-based solution can be realized that can improve the sales process and customer interaction with sellers, and increase the business potential of traditional songket craftsmen. 
Innovation of Tepache Probiotic Drink Made from Apple Skin (Malus Domestica) Rosa, Adelia; Royani, Agnes Elva; Amalia, Rosela; Putri, Seprianti Randika; Aini, Kurratul
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 1 (2024): Juni 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i1.9291

Abstract

The beverage industry currently continues to innovate to create unique and sustainable products. One interesting innovation is the development of the Tepache drink made from apple peel. Tepache is a traditional fermented drink from Mexico which is usually made from pineapple skin. However, in this innovation, apple skins are used as the main raw material to create tepache drinks which are rich in nutrients and environmentally friendly. The process of producing Tepache drinks from apple skins involves fermenting apple skins with sugar and natural yeast. During fermentation, microorganisms such as yeast and lactic acid bacteria convert sugars into organic acids, resulting in a refreshing slightly sour taste. Apple skin is rich in fiber, antioxidants, and phenolic compounds that provide additional health benefits to this drink. This innovation not only creates attractive beverage products, but also contributes to efforts to reduce apple peel waste which is often wasted. The use of apple peel as a raw material for Tepache drinks is a sustainable step in the beverage industry, as well as offering a healthy and environmentally friendly alternative drink.
Innovation of Tepache Probiotic Drink Made from Apple Skin (Malus Domestica) Rosa, Adelia; Royani, Agnes Elva; Amalia, Rosela; Putri, Seprianti Randika; Aini, Kurratul
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 1 (2024): Juni 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i1.9291

Abstract

The beverage industry currently continues to innovate to create unique and sustainable products. One interesting innovation is the development of the Tepache drink made from apple peel. Tepache is a traditional fermented drink from Mexico which is usually made from pineapple skin. However, in this innovation, apple skins are used as the main raw material to create tepache drinks which are rich in nutrients and environmentally friendly. The process of producing Tepache drinks from apple skins involves fermenting apple skins with sugar and natural yeast. During fermentation, microorganisms such as yeast and lactic acid bacteria convert sugars into organic acids, resulting in a refreshing slightly sour taste. Apple skin is rich in fiber, antioxidants, and phenolic compounds that provide additional health benefits to this drink. This innovation not only creates attractive beverage products, but also contributes to efforts to reduce apple peel waste which is often wasted. The use of apple peel as a raw material for Tepache drinks is a sustainable step in the beverage industry, as well as offering a healthy and environmentally friendly alternative drink.
Implementasi Algoritma Naive Bayes Terhadap Klasifikasi Jenis Pertanyaan Pada Perancangan Chatbot Untuk Aplikasi Penjualan Songket Rosa, Adelia; Salamah, Irma; Suroso, Suroso
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7908

Abstract

Rapid developments in science and technology have had a significant impact on all aspects of people's lives, especially in business. E-commerce has become a popular choice among internet users in Indonesia, including MSMEs. However, conventional sales of songket products still limit product reach and competitiveness. In addition, the sales process generally provides customer service in charge of interacting and serving customer inquiries that can be contacted via telephone number. However, it is considered less effective because the seller has difficulty when responding to various questions from customers, so customers have to wait to get answers regarding the information needed. Therefore, the purpose of this research is to design a chatbot for songket sales applications using the naive bayes algorithm in classifying the types of customer questions, to improve the efficiency and effectiveness of interactions between sellers and customers, and expand the market reach of songket products. This chatbot is designed to simulate interactive conversations and provide sales information to customers quickly and efficiently. The naive bayes algorithm was chosen due to its ease of implementation and high accuracy in text classification. In this study, the chatbot was tested with various types of user questions with 5% of the total 50 questions as testing data. The test results show that the chatbot can classify the type of question with an accuracy of 90% and a precision value of 94%, recall 92%, and F1-Score 92%. In addition, testing of the application system as a whole shows that the application and chatbot are able to provide appropriate and efficient responses to various user questions. With this system, it is hoped that a technology-based solution can be realized that can improve the sales process and customer interaction with sellers, and increase the business potential of traditional songket craftsmen. 
Co-Authors Amalia, Rosela Irma Salamah Kurratul Aini, Kurratul Putri, Seprianti Randika Royani, Agnes Elva Suroso Suroso