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TEPIAN
Published by Politeknik Pertanian Negeri Samarinda
ISSN : 27215350     EISSN : 27215369     DOI : -
Core Subject : Science,
Computer Science & IT
The purpose of TEPIAN is to publish original research studies directly relevant to computer science. TEPIAN encompasses the full spectrum of information technology and computer science, including information system, hardware technology, intelligent system, and multimedia applications. TEPIAN welcomes original papers, reviews and commentaries. Suggestions for special issues covering selected topics may be considered. TEPIAN is devoted to publish manuscripts that advance the knowledge of information technology and communication beyond state-of-the-art. Authors may contact the Editor-in-Chief in advance to inquire about whether their research topic is suitable for consideration by TEPIAN. Through an Open Access publishing model, TEPIAN provides an important forum where computer science researchers in academic, public and private arenas can present the latest results from research on information technology and communication in a broad sense.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 282 Documents
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Geographic Information System of Dengue Hemorrhagic Fever Area Mapping in the City Of Samarinda Tarsius Aloysius Pedor; Syafei Karim; F.V Astrolabe Sian Prasetya
TEPIAN Vol. 2 No. 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i4.677

Abstract

Dengue Hemorrhagic Fever (DHF) is still one of the main public health problems in Indonesia. This disease can threaten public health, efforts to prevent its spread need to be done. As the first step for prevention, it is necessary to do the mapping. Environmental factors have a major influence on the increase and transmission of mosquito-borne diseases such as DHF. The most influential factors include the physical environment consisting of rainfall, air humidity, and population density. The city of Samarinda itself has not maximized the DHF control program, because the government is less effective in mapping the DHF-vulnerable areas based on indicators of increasing cases over the last few years using spatial maps. Mapping the DHF area with the spatial method can maximize the implementation of the DHF control program, the implementation of the fogging program, and other DHF control programs. So to get this information, a geographical information system (GIS) is needed or commonly known as a geographic information system (GIS). This web-based geographic information system application for mapping dengue areas can display detailed information such as the address of the Public Health Center that provides information on the number of cases that occur in each sub-district and a polygon map showing which sub-district has the most cases.
Expert System for Diagnosis of Pepper Plant Diseases Using Certainty Factor and Naïve Bayes Methods Karmila; Eny Maria; Annafi' Franz
TEPIAN Vol. 2 No. 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i4.744

Abstract

Development expert system for diagnosis of pepper plant diseases using certainty factor and naïve bayes methods. Pepper is one type of plant that has long been traded on the European market. So that increasing the quality and quantity of pepper production is the main demand. However, diseases in pepper plants are also familiar to be found so that they can be detrimental to farmers and besides that, agricultural workers who are experts in the field of pepper plant diseases are still limited. Therefore, to overcome this problem, an expert system application is designed where this system can provide information about diseases that attack pepper plants, then provide suggestions or solutions to deal with these diseases. The purpose of this research is to build and design an expert system that is useful for determining pepper plant diseases and to apply certainty factor and nave Bayes methods in providing answers to the results of the consultation. The results of this study are expected to make it easier for users, especially farmers or farm workers in overcoming diseases in pepper plants.

Page 29 of 29 | Total Record : 282

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