Pemodelan AI dengan CNN Untuk Klasifikasi Tanaman Uvaria Grandiflora di Hutan Tropis Indonesia

https://doi.org/10.35912/jatra.v3i1.5012
Published: Jul 2, 2025

Abstract:

Purpose: This research aims to develop an artificial intelligence (AI) model based on the Convolutional Neural Network (CNN) to classify Uvaria plant species, a tropical genus native to Indonesia. The study addresses the challenge of limited datasets for automatic classification in tropical plant identification.

Methodology/approach: Images of Uvaria plants were collected directly from their natural habitat and categorized into four primary classes: leaves, stems, twigs, and trees. The dataset comprises 400 labeled images, split into training (279 images, 70%), validation (40 images, 10%), and testing (81 images, 20%). The CNN model was trained for 200 epochs, using data preprocessing techniques such as normalization and augmentation to improve performance.

Results/findings: The CNN model achieved an accuracy of 90% on the test set, indicating strong performance in classifying the four categories of Uvaria plant components. The model showed particularly consistent results in distinguishing between leaves and twigs.

Conclusion: Despite the relatively small dataset, the results demonstrate that the CNN algorithm is capable of accurately classifying images of Uvaria species. The dataset is considered sufficient to build an effective classification model.

Limitations: The main limitation of this study is the limited number of images, which may restrict the model’s ability to generalize to broader or more varied data in real-world conditions.

Contribution: This research contributes to the development of AI-based tools for identifying tropical plant species. It offers a practical model and dataset that can support biodiversity monitoring, environmental research, and conservation efforts in Indonesia and similar tropical regions.

Keywords:
1. AI
2. Classification
3. CNN
4. Forest
5. Plants
6. Uvaria
Authors:
1 . Martinus Martinus
2 . Sony Ferbangkara
3 . Resty Annisa
4 . Vezan Hidayatullah
5 . Rama Wahyu Ajie Pratama
6 . Alvin Reihansyah Makarim
View PDF
How to Cite
Martinus, M., Ferbangkara, S., Annisa, R., Hidayatullah, V., Pratama, R. W. A., & Makarim, A. R. (2025). Pemodelan AI dengan CNN Untuk Klasifikasi Tanaman Uvaria Grandiflora di Hutan Tropis Indonesia. Jurnal Teknologi Riset Terapan, 3(1), 1–11. https://doi.org/10.35912/jatra.v3i1.5012
Download Citation
  1. Endnote/Zotero/Mendeley (RIS)
  2. BibTeX

Downloads

Download data is not yet available.
Issue & Section
Vol. 3 No. 1 (2025): Januari
Articles
References

    Aditiya, D., & Latifa, U. (2023). Uji Efektivitas Penerapan Machine Learning Classification Untuk Survey Kepuasan Pelanggan Maskapai Penerbangan X. Barometer, 8(1), 9-18.

    Aisyah, A., Azharuddin, A., Rizal, S., & Zulkifli, S. (2022). Studi Perbandingan Alat Bukti Saksi dalam KUHAP dan KUHAP Islam. Kajian Ilmiah Hukum dan Kenegaraan, 1(1), 1-11. doi:10.35912/kihan.v1i1.1338

    Amin, S., Wihdatunnisa, I., Aisyah, R., & Kurniawan, Y. S. (2024). Potensi Senyawa Kuersetin sebagai Antikanker Payudara melalui Pendekatan Molecular Docking. Jurnal Ilmu Medis Indonesia, 4(1), 41-51. doi:10.35912/jimi.v4i1.4565

    Anisman, H. B. (2021). Analisis Faktor – Faktor yang Memengaruhi Kinerja Keuangan pada Pusat Pendapatan Pemerintah Daerah Kabupaten Tulang Bawang. Reviu Akuntansi, Manajemen, dan Bisnis, 1(2), 77-90. doi:10.35912/rambis.v1i2.408

    Balvanera, P., Quijas, S., & Pérez?Jiménez, A. (2011). Distribution patterns of tropical dry forest trees along a mesoscale water availability gradient. Biotropica, 43(4), 414-422.

    Bani Muhtarom, M., Faizul, M., Siti Jaroyatun, N., & Khoirul, A. (2023). Analisis SWOT Universitas Melaka sebagai Strategi Pengembangan Universitas Nahdlatul Ulama Surakarta. Studi Ilmu Manajemen Dan Organisasi, 4(2), 87-99. doi:10.35912/simo.v4i2.1942

    Carberry, J. (2008). Toward a unified theory of high-energy metaphysics: Silly string theory. Journal of Psychoceramics http://dx. doi. org, 10, 12345678.

    Ebuka, A. A., Emmanuel, D., & Idigo, P. (2023). Artificial Intelligence as a catalyst for the Sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria. Annals of Management and Organization Research, 5(1), 1-11. doi:10.35912/amor.v5i1.1719

    Faeni, D. P., Puspitaningtyas, R., & Safitra, R. (2021). Work Life Balance, Peningkatan Karir dan Tekanan Kerja terhadap Produktivitas: Kasus pada Lembaga Sertifikasi Profesi P3 Pembangun Penyuluh Integritas Bangsa. Studi Akuntansi, Keuangan, dan Manajemen, 1(1), 45-57. doi:10.35912/sakman.v1i1.602

    Hafid, R. A. (2023). Pengaruh Pemberian Tepung Daun Kelor (Moringa Oliefera) pada Ibu Hamil terhadap Berat Badan Bayi Baru Lahir. Jurnal Kesehatan Maternal dan Neonatal, 1(1), 13-17. doi:10.35912/jesman.v1i1.1785

    Keenan, R. J., Reams, G. A., Achard, F., de Freitas, J. V., Grainger, A., & Lindquist, E. (2015). Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015. Forest ecology and management, 352, 9-20.

    Khaneghahi, S., Sefatgol, S., & Siyasar, M. (2022). Investigating the Relationship between School Culture and Academic Enthusiasm with Academic Hope and Motivation in High School Students. Journal of Social, Humanity, and Education, 3(1), 29-41. doi:10.35912/jshe.v3i1.940

    No, R. R. Research Data Collection.

    Patel, B., & Shah, P. (2022). Operating system support, protocol stack with key concerns and testbed facilities for IoT: A case study perspective. Journal of King Saud University-Computer and Information Sciences, 34(8), 5420-5434.

    Prinhandaka, D. J. P., Rohman, I. Z., & Wijaya, N. H. S. (2023). Supportive leadership and employee creativity: Will Leader-Member Exchange mediate the relationship? Annals of Management and Organization Research, 4(1), 35-45. doi:10.35912/amor.v4i1.1477

    Raschka, S. (2018). Model evaluation, model selection, and algorithm selection in machine learning. arXiv preprint arXiv:1811.12808.

    Sari, S. R., Arafah, E., Guttifera, G., Puteri, R. E., & Sa'adah, R. (2022). Penyuluhan Kelompok Petani dalam Budidaya dan Pengolahan Ikan Lele dengan Cara Pemberian Bumbu Alami di Kabupaten Banyuasin. Jurnal Nusantara Mengabdi, 2(1), 29-36. doi:10.35912/jnm.v2i1.799

    Suciati, H., Simamora, A. W., Panusunan, P., & Fauzan, F. (2023). Analisa Campuran CPHMA terhadap Penambahan Variasi Aspal Penetrasi 60/70 pada Karakteristik Marshall. Jurnal Teknologi Riset Terapan, 1(2), 75-86. doi:10.35912/jatra.v1i2.2294

    Wahyudi, H., & Ramani, F. (2022). Pengaruh Jangka Pendek dan Jangka Panjang Saham Global terhadap Indeks Harga Saham Gabungan (IHSG) Periode 2015:M01 - 2020:M12. Reviu Akuntansi, Manajemen, dan Bisnis, 2(1), 15-25. doi:10.35912/rambis.v2i1.1421

    Yuliana, Y. (2022). Peningkatan Daya Saing Bisnis melalui Technopreneurship. Reviu Akuntansi, Manajemen, dan Bisnis, 1(2), 103-113. doi:10.35912/rambis.v1i2.556

  1. Aditiya, D., & Latifa, U. (2023). Uji Efektivitas Penerapan Machine Learning Classification Untuk Survey Kepuasan Pelanggan Maskapai Penerbangan X. Barometer, 8(1), 9-18.
  2. Aisyah, A., Azharuddin, A., Rizal, S., & Zulkifli, S. (2022). Studi Perbandingan Alat Bukti Saksi dalam KUHAP dan KUHAP Islam. Kajian Ilmiah Hukum dan Kenegaraan, 1(1), 1-11. doi:10.35912/kihan.v1i1.1338
  3. Amin, S., Wihdatunnisa, I., Aisyah, R., & Kurniawan, Y. S. (2024). Potensi Senyawa Kuersetin sebagai Antikanker Payudara melalui Pendekatan Molecular Docking. Jurnal Ilmu Medis Indonesia, 4(1), 41-51. doi:10.35912/jimi.v4i1.4565
  4. Anisman, H. B. (2021). Analisis Faktor – Faktor yang Memengaruhi Kinerja Keuangan pada Pusat Pendapatan Pemerintah Daerah Kabupaten Tulang Bawang. Reviu Akuntansi, Manajemen, dan Bisnis, 1(2), 77-90. doi:10.35912/rambis.v1i2.408
  5. Balvanera, P., Quijas, S., & Pérez?Jiménez, A. (2011). Distribution patterns of tropical dry forest trees along a mesoscale water availability gradient. Biotropica, 43(4), 414-422.
  6. Bani Muhtarom, M., Faizul, M., Siti Jaroyatun, N., & Khoirul, A. (2023). Analisis SWOT Universitas Melaka sebagai Strategi Pengembangan Universitas Nahdlatul Ulama Surakarta. Studi Ilmu Manajemen Dan Organisasi, 4(2), 87-99. doi:10.35912/simo.v4i2.1942
  7. Carberry, J. (2008). Toward a unified theory of high-energy metaphysics: Silly string theory. Journal of Psychoceramics http://dx. doi. org, 10, 12345678.
  8. Ebuka, A. A., Emmanuel, D., & Idigo, P. (2023). Artificial Intelligence as a catalyst for the Sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria. Annals of Management and Organization Research, 5(1), 1-11. doi:10.35912/amor.v5i1.1719
  9. Faeni, D. P., Puspitaningtyas, R., & Safitra, R. (2021). Work Life Balance, Peningkatan Karir dan Tekanan Kerja terhadap Produktivitas: Kasus pada Lembaga Sertifikasi Profesi P3 Pembangun Penyuluh Integritas Bangsa. Studi Akuntansi, Keuangan, dan Manajemen, 1(1), 45-57. doi:10.35912/sakman.v1i1.602
  10. Hafid, R. A. (2023). Pengaruh Pemberian Tepung Daun Kelor (Moringa Oliefera) pada Ibu Hamil terhadap Berat Badan Bayi Baru Lahir. Jurnal Kesehatan Maternal dan Neonatal, 1(1), 13-17. doi:10.35912/jesman.v1i1.1785
  11. Keenan, R. J., Reams, G. A., Achard, F., de Freitas, J. V., Grainger, A., & Lindquist, E. (2015). Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015. Forest ecology and management, 352, 9-20.
  12. Khaneghahi, S., Sefatgol, S., & Siyasar, M. (2022). Investigating the Relationship between School Culture and Academic Enthusiasm with Academic Hope and Motivation in High School Students. Journal of Social, Humanity, and Education, 3(1), 29-41. doi:10.35912/jshe.v3i1.940
  13. No, R. R. Research Data Collection.
  14. Patel, B., & Shah, P. (2022). Operating system support, protocol stack with key concerns and testbed facilities for IoT: A case study perspective. Journal of King Saud University-Computer and Information Sciences, 34(8), 5420-5434.
  15. Prinhandaka, D. J. P., Rohman, I. Z., & Wijaya, N. H. S. (2023). Supportive leadership and employee creativity: Will Leader-Member Exchange mediate the relationship? Annals of Management and Organization Research, 4(1), 35-45. doi:10.35912/amor.v4i1.1477
  16. Raschka, S. (2018). Model evaluation, model selection, and algorithm selection in machine learning. arXiv preprint arXiv:1811.12808.
  17. Sari, S. R., Arafah, E., Guttifera, G., Puteri, R. E., & Sa'adah, R. (2022). Penyuluhan Kelompok Petani dalam Budidaya dan Pengolahan Ikan Lele dengan Cara Pemberian Bumbu Alami di Kabupaten Banyuasin. Jurnal Nusantara Mengabdi, 2(1), 29-36. doi:10.35912/jnm.v2i1.799
  18. Suciati, H., Simamora, A. W., Panusunan, P., & Fauzan, F. (2023). Analisa Campuran CPHMA terhadap Penambahan Variasi Aspal Penetrasi 60/70 pada Karakteristik Marshall. Jurnal Teknologi Riset Terapan, 1(2), 75-86. doi:10.35912/jatra.v1i2.2294
  19. Wahyudi, H., & Ramani, F. (2022). Pengaruh Jangka Pendek dan Jangka Panjang Saham Global terhadap Indeks Harga Saham Gabungan (IHSG) Periode 2015:M01 - 2020:M12. Reviu Akuntansi, Manajemen, dan Bisnis, 2(1), 15-25. doi:10.35912/rambis.v2i1.1421
  20. Yuliana, Y. (2022). Peningkatan Daya Saing Bisnis melalui Technopreneurship. Reviu Akuntansi, Manajemen, dan Bisnis, 1(2), 103-113. doi:10.35912/rambis.v1i2.556