Haedar, Arjuna and Thamrin, Andi Nurlinda and Siswanto, Rahmat (2025) Website-Based Kakaomu Application Development. Website-Based Kakaomu Application Development, 5 (1). pp. 391-396. ISSN 2807-9035
![[img]](http://repository.umpalopo.ac.id/6100/1/Sampul_211410001.png) |
Image (Sampul Arikel)
Sampul_211410001.png - Cover Image Download (480kB) |
![[img]](http://repository.umpalopo.ac.id/style/images/fileicons/text.png) |
Text (Artikel)
Website-Based Kakaomu Application Development.pdf - Published Version Download (529kB) |
|
Text (Lembar Turnitin)
Turnitin_Website-Based Kakaomu Application Development.pdf - Supplemental Material Download (644kB) |
![[img]](http://repository.umpalopo.ac.id/style/images/fileicons/other.png) |
Other (Link Artikel)
6332 - Additional Metadata Download (56kB) |
Abstract
The development of digital technology, especially in artificial intelligence (AI), has brought about major changes in various sectors of life, including agriculture. AI allows agricultural activities to be carried out more efficiently, accurately, and based on data. One of the agricultural commodities affected by this progress is cocoa. As one of the largest cocoa producers in the world, Indonesia has a great opportunity to develop this sector. However, the challenges in the field are still quite complex, especially in areas such as Pongo Village and North Luwu Regency. Cocoa farmers in this area face various problems, such as Helopeltis spp. pest attacks, declining plantation productivity, lack of market information, and lack of a comprehensive cocoa product tracking system. These problems result in suboptimal harvests and difficulty competing in the global market. To answer this challenge, the development of technology-based solutions is very important. One of the proposed innovations is the Kakaomu web application, which utilizes artificial intelligence to assist farmers in various aspects of agriculture. The main features of this application include pest identification and control, monitoring current market prices, recording production results, and a digital traceability system from the plantation to the end consumer. With the adoption of this technology, cocoa productivity, efficiency, and quality can increase significantly. In addition, this can also strengthen Indonesia's cocoa position in the world export market and encourage more modern and sustainable agriculture.
| Item Type: | Article | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
|||||||||
| Uncontrolled Keywords: | Web-Based Application Development; Cocoa Farming AI Information System; Laravel; Digitalization of Micro Farmers' Information; Traceability and Data Management of Cocoa | |||||||||
| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce T Technology > T Technology (General) |
|||||||||
| Divisions: | Fakultas Sains dan Teknologi > Rakayasa Perangkat Lunak | |||||||||
| Depositing User: | Arjuna Haedar | |||||||||
| Date Deposited: | 10 Nov 2025 06:54 | |||||||||
| Last Modified: | 10 Nov 2025 06:54 | |||||||||
| URI: | http://repository.umpalopo.ac.id/id/eprint/6100 |
Actions (login required)
 |
View Item |
