Proceedings of the Jepara International Conference on Education and Social Science 2024 (JIC 2024)

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An Effective Communication Model Based on Chili Disease Detection Application Using the Dempster-Shafer Method

Authors
Gubtha Mahendra Putra1, Laila Mega Azrina1, Anindita Septiarini1, Muhammad Rivani Ibrahim1, Fatkhul Hani Rumawan1, Karima Azzahra Karim1, Heliza Rahmania Hatta1, *, Kaysa Adara Karim2, Mohammad Zahir Zikri Hatta3
1Mulawarman University, Samarinda, Indonesia
2Telkom University, Bandung, Indonesia
3Terbuka University, South Tangerang, Indonesia
*Corresponding author. Email: heliza@unmul.ac.id
Corresponding Author
Heliza Rahmania Hatta
Available Online 17 November 2025.
DOI
10.2991/978-2-38476-483-9_28How to use a DOI?
Keywords
Dempster Shafer; Diseases; Expert Systems; Pepper Plants
Abstract

Pepper, or Piper nigrum L., is a widely cultivated spice plant in Indonesia. It is one of the country's mainstay export commodities. However, pepper production is often inconsistent, fluctuating due to various factors, with pests and diseases being one of the primary causes. For many farmers, accurately identifying pests and diseases affecting pepper plants can be challenging. To address this issue, an expert system application for detecting pests and diseases in pepper plants is essential. The Dempster-Shafer method was employed in this study to provide reliable information about pests and diseases affecting pepper plants. This method is particularly useful for determining and defining confidence levels and belief functions to evaluate possibilities. In this research, data on nine types of diseases and 46 associated symptoms were utilized. Based on the analysis of 60 data points, the expert system achieved an accuracy rate of 96%.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Jepara International Conference on Education and Social Science 2024 (JIC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 November 2025
ISBN
978-2-38476-483-9
ISSN
2352-5398
DOI
10.2991/978-2-38476-483-9_28How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Gubtha Mahendra Putra
AU  - Laila Mega Azrina
AU  - Anindita Septiarini
AU  - Muhammad Rivani Ibrahim
AU  - Fatkhul Hani Rumawan
AU  - Karima Azzahra Karim
AU  - Heliza Rahmania Hatta
AU  - Kaysa Adara Karim
AU  - Mohammad Zahir Zikri Hatta
PY  - 2025
DA  - 2025/11/17
TI  - An Effective Communication Model Based on Chili Disease Detection Application Using the Dempster-Shafer Method
BT  - Proceedings of the Jepara International Conference on Education and Social Science 2024 (JIC 2024)
PB  - Atlantis Press
SP  - 218
EP  - 225
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-483-9_28
DO  - 10.2991/978-2-38476-483-9_28
ID  - Putra2025
ER  -