Design of a Food Detection System for Environmental Care Education
Perancangan Sistem Deteksi Makanan untuk Pendidikan Peduli Lingkungan
Abstract
The food waste phenomenon in Indonesia now reaches 300 kg of food waste per person every year. This shows the urgency of environmental awareness in our society. Technology is increasingly developing but is not balanced with maximum use to preserve the earth. One of the latest technological trends, namely Artificial Intelligence, is an option that can be developed to educate the public about waste awareness. This research aims to create a design using the concept of Artificial Intelligence, namely pattern recognition for food detection to anticipate too much food waste in the food industry, namely restaurants. The design was carried out using the waterfall method which allows the design process to run coherently and precisely. Based on literature studies and expert analysis, the results of this research show that design in the form of system design and database design can be used as a basis for developing food detection applications
Downloads
References
Al Fajar, M., Dar, M. H., & Rohani, R. (2022). Application of Waterfall model in development of family planning participants information system. Sinkron, 7(2), 679–686. https://doi.org/10.33395/sinkron.v7i2.11387
Al-Ansi, A. M., Al-Ansi, A., Al-Ansi, A. M., & Al-Ansi, A. (2023). An Overview of Artificial Intelligence (AI) in 6G: Types, Advantages, Challenges and Recent Applications. Buletin Ilmiah Sarjana Teknik Elektro, 5(1), 67–75. https://doi.org/10.12928/biste.v5i1.7603
Buana, W., & Nurina Sari, B. (2022). Analisis User Interface Meningkatkan Pengalaman Pengguna Menggunakan Usability Testing pada Aplikasi Android Course. 5(2), 91–97. http://e-journal.unipma.ac.id/index.php/doubleclick
Fajar Nurdiansyah, H. S. R. (2021). STRATEGI BRANDING BANDUNG GIRI GAHANA GOLF SEBELUM DAN SAAT PANDEMI COVID-19.
Fitria, L., & Hermansyah, M. (2020). InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Implementasi Face Recognition pada Absensi Kehadiran Mahasiswa Menggunakan Metode Haar Cascade Classifier. 4(2). https://doi.org/10.30743/infotekjar.v4i2.2333
Harry, A. (2023). International Journal of Multidisciplinary Sciences and Arts Artificial Intelligence; Most growing sector of world. 01. https://doi.org/10.47709/ijmdsa.vxix.xxxx
Hermanu, B. (2022). Pengelolaan Limbah Makanan (Food Waste) Berwawasan Lingkungan Environmentally Friendly Food Waste Management. In Jurnal Agrifoodtech (Vol. 1, Issue 1). https://jurnal2.untagsmg.ac.id/index.php/agrifoodtech
Hidayat, I., Askar, A., & Zaitun, Z. (2022). Prosiding Kajian Islam dan Integrasi Ilmu di Era Society 5.0 (KIIIES 5.0) Pascasarjana Universitas Islam Negeri Datokarama Palu 2022, Volume 1 Teknologi Menurut Pandangan Islam. Pros1iding Kajian Islam Dan Integrasi Ilmu Era Society 5.0, 1(1).
Jacob, C. R., Revati, M., & Pavan Kumar, B. (2022). Artificial Intelligence-based Face Recognition: An Application of Attendance Management.
Koç, H., Erdoğan, A. M., Barjakly, Y., & Peker, S. (2021). UML Diagrams in Software Engineering Research: A Systematic Literature Review. 13. https://doi.org/10.3390/proceedings2021074013
Lutviyani, A., Farkha, F., Firdausi, H., Program, S., Kimia, F., Sains, D., Teknologi, U., Sunan, K., Yogyakarta, J. M., & Adisucipto, Y. (2022). TINJAUAN LIMBAH MAKANAN TERHADAP LINGKUNGAN DALAM PERSPEKTIF ISLAM DAN SAINS (Vol. 4).
Maulidian, C. D., Chrisnandari, R. D., & Setiawan, E. S. A. (2023). ANALISIS PEMBAKARAN GAS METANA PADA UNIT FLARING WASTEWATER TREATMENT PLANT (WWTP). DISTILAT: Jurnal Teknologi Separasi, 9(4), 362–371. https://doi.org/10.33795/distilat.v9i4.4190
Mulianingsih, F., Anwar, K., Shintasiwi, F. A., & Rahma, A. J. (2020). Program Studi Tadris Ilmu Pengetahuan Sosial Institut Agama Islam Negeri Kudus Artificial Intellegence dengan Pembentukan Nilai dan Karakter di Bidang Pendidikan. In Ijtimaiya : Journal of Social Science Teaching (Vol. 4, Issue 2). http://journal.stainkudus.ac.id/index.php/Ijtimaia
OKPATRIOKA. (2022). Research And Development (R&D) Penelitian Yang Inovatif Dalam Pendidikan. Dharma Acaria Nusantara. Jurnal Pendidikan Bahasa Dan Budaya, 1(1).
Rachman, Indriyani.,& Septiana, Asyifa., (2020). Food Waste Recommendation in Indonesia based on public opinion related to the target SDGS. Journal of Community Based Environmental Engineering and Management, 2020, Vol. 4, No. 1: 25-30
Saku, B., Citra, P., Yuwono, B., Ilza, Y., Mangaras, S., Panji, Y. F., & Ashrianto, D. (2019). FACE RECOGNITION FACE & FACIAL EXPRESSIONS RECOGNITION.
Sharma, Anjali. (2020). AI and Rootics for Reducing Waste in the Food Supply Chain: Systematic Literatur Review, Theoritical Framework and Research Agenda. The Roeper School Birmingham
Silaban, Anastasia.,& Anggraeny, Maria., (2021). Role of Artificial Intelligence in the Management of Food Waste. International Conference on Artificial Intelligence and Data Sciences (AiDAS). 8 September 2021.
Syafruddin Akbar, I., & Haryanti, T. (2021). PENGEMBANGAN ENTITY RELATIONSHIP DIAGRAM DATABASE TOKO ONLINE IRA SURABAYA. In Jurnal Ilmiah Computing Insight (Vol. 3, Issue 2).
Wang, P. (2019). On Defining Artificial Intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002