Sawit Kita WebApp Development: Artificial - Based E-Learning Intelligence and Community to Drive Actual Information Collaboration and Innovation of Palm Oil Farmers In Indonesia

Ony Patricia, Alif Budiman Wahabbi, Edy Syafrianto, Fajar Kurnia Putra, Cyntia Lasmi Andesti

Abstract


Web App development within the scope of the company is very in necessary in today's technological era. Development increasingly advanced technology is proof that the level of technology is high in the field of computer science. Data management is very important for a company companies, especially palm oil companies. A company needs a tool or system for managing and monitoring data company to be more efficient, simple, fast and precise. There fore the author designing a system to make it easier for companies to manage data palm oil plantations using a very easy Web App used. This research aims to develop the Sawit Kita Web App, an Artificial Intelligence based e-learning platform and community forpalm oil farmers in Indonesia. The Sawit Kita Web App consists of three main features, namely GPT 4 chat, e-learning modules and community platform. Chat GPT 4 is an Artificial Intelligence-based virtual assistant that can answer questions, provide suggestions, and produce creative content about oil palm cultivation with customization of data input by developer. The e-learning module is a feature that provides interactive and easy-to-understand learning materials about cultivation sustainable palm oil. The community platform is a feature that facilitate communication and collaboration between oil palm farmers and researchers, extension workers, and other related parties in a discussion forum. Target This research is to improve access and quality of information, literacy and skills, participation and collaboration, as well as productivity and well-being palm oil farmers in Indonesia. The research method used is method research and development with stages of analysis, design, development, implementation, and evaluation. This research is expected to provide contribution to the development of the oil palm plantation sector in Indonesia.

Keywords


Palm Oil; WebApp; E-Learning; Artificial Intelligence; ChatGPT4

Full Text:

PDF

References


D. Nuviadi and S. Hidarti, “Analisi Daya Saing CPO (Crude Plam Oil) Lokal Di Pasar Internasional,” no. 2016, pp. 1–6, 2018.

Kemenperin, Tantangan dan Prospek Hilirisasi Sawit Nasional. 2021.

Cantika Teresa Kansil, “TINDAK PIDANA DALAM PEMASARAN HASIL PERKEBUNAN MENURUT UNDANG-UNDANG NOMOR 39 TAHUN 2014 TENTANG PERKEBUNAN,” Lex Crim., vol. 71, no. 1, pp. 63–71, 2021.

A. Aidil Fitrawan, “MEMBANGUN SISTEM INFORMASI PENCATATAN KELAPA SAWIT BERBASIS WEB,” STMIK Widya Cipta Dharma, 2022.

A. Risawandi, Karimullah, & Mahruzar, “Sistem Informasi Pengelolaan Perkebunan Kelapa Sawit Berbasis Web Pada Pt. Teboplasma Intilestari Nisam Antara.,” Teknol. https//ojs.unimal.ac.id/tts/index, pp. 879–889, 2023.

M. Utari, “Perancangan Sistem Pengolahan Data Perusahaan Industri Kelapa Sawit.,” 2023.

J. Deng and Y. Lin, “The Benefits and Challenges of ChatGPT: An Overview,” Front. Comput. Intell. Syst., vol. 2, no. 2, pp. 81–83, 2023, doi: 10.54097/fcis.v2i2.4465.

M. Shojaei, “Original Article: CHAT - GPT and artificial intelligence in Medical Endocrine System and interventions,” vol. 3, no. 1, pp. 197–209, 2024.

M. Sobron and Lubis, “Implementasi Artificial Intelligence Pada System Manufaktur Terpadu,” Semin. Nas. Tek. UISU, vol. 4, no. 1, pp. 1–7, 2021, [Online]. Available: https://jurnal.uisu.ac.id/index.php/semnastek/article/view/4134

C. L. Andesti, F. Lonanda, N. Azizah, A. Info, D. Mining, and E. Language, “Potential for Improvement of Student ’ s English Language with,” vol. 5, no. 1, pp. 1–10, 2022.

A. Abdul Wahid, “Analisis Metode Waterfall Untuk Pengembangan Sistem Informasi,” J. Ilmu-ilmu Inform. dan Manaj. STMIK, no. November, pp. 1–5, 2020.

R. A. Purba, “Application design to help predict market demand using the waterfall method,” Matrix J. Manaj. Teknol. dan Inform., vol. 11, no. 3, pp. 140–149, 2021, doi: 10.31940/matrix.v11i3.140-149.

A. Pangestu and L. Afuan, “Rancang Bangun Sistem Informasi Pengelolaan Wisata Edukasi Berbasis Website Studi Kasus Kampung Marketer,” J. Pendidik. dan Teknol. Indones., vol. 1, no. 2, pp. 45–57, 2021, doi: 10.52436/1.jpti.4.

R. Tesoriero, A. Rueda, J. A. Gallud, M. D. Lozano, and A. Fernando, “Transformation Architecture for Multi-Layered WebApp Source Code Generation,” IEEE Access, vol. 10, pp. 5223–5237, 2022, doi: 10.1109/ACCESS.2022.3141702.

M. P. (n. d. . Maryam Tayebinik, “Blended Learning or E-learning?”.

K. Stecuła and R. Wolniak, “Advantages and Disadvantages of E-Learning Innovations during COVID-19 Pandemic in Higher Education in Poland,” J. Open Innov. Technol. Mark. Complex., vol. 8, no. 3, 2022, doi: 10.3390/joitmc8030159.

Q. Hasanah, “Pemanfaatan Aplikasi Whastapp sebagai Media E-Learning Masa Covid-19 pada Mata Kuliah Biomolekul dan Metabolisme di Tadris IPA IAIN Bengkulu,” ISEJ Indones. Sci. Educ. J., vol. 1, no. 3, pp. 225–236, 2020.

J. Chahal and N. Rani, “Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables,” J. Comput. High. Educ., vol. 34, no. 3, pp. 844–867, 2022, doi: 10.1007/s12528-022-09327-0.

S. Fitriani, S. D. Setiarini, and E. B. Soewono, “Simulasi Reinforcement Learning untuk Kecerdasan Buatan pada Exergame Penurun Berat Badan,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 1, p. 79, 2022, doi: 10.30865/jurikom.v9i1.3875.

V. Reinard, J. Fat, and Suraidi, “Sistem Prediksi Pergerakan Harga Valuta Asing Menggunakan Kecerdasan Buatan Metode SARSA,” ELECTRON J. Ilm. Tek. Elektro, vol. 5, no. 1, pp. 69–76, 2024, doi: 10.33019/electron.v5i1.88.

P. D. B. Pd-noma and M. Putri, “Algoritma Alokasi Sumber Daya Radio Berbasis Hungarian Dengan Metode Sarsa Pada D2d Berbasis Pd-Noma,” vol. 9, no. 2, pp. 346–350, 2022.




DOI: http://dx.doi.org/10.24014/ijaidm.v7i2.31366

Refbacks

  • There are currently no refbacks.


Office and Secretariat:

Big Data Research Centre
Puzzle Research Data Technology (Predatech)
Laboratory Building 1st Floor of Faculty of Science and Technology
UIN Sultan Syarif Kasim Riau

Jl. HR. Soebrantas KM. 18.5 No. 155 Pekanbaru Riau – 28293
Website: http://predatech.uin-suska.ac.id/ijaidm
Email: ijaidm@uin-suska.ac.id
e-Journal: http://ejournal.uin-suska.ac.id/index.php/ijaidm
Phone: 085275359942

Click Here for Information


Journal Indexing:

Google Scholar | ROAD | PKP Index | BASE | ESJI | General Impact Factor | Garuda | Moraref | One Search | Cite Factor | Crossref | WorldCat | Neliti  | SINTA | Dimensions | ICI Index Copernicus 

IJAIDM Stats