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All Journal Jurnal SOLMA Jusikom: Jurnal Sistem Informasi Ilmu Komputer
Rifaldo, Rifaldo
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Decision Sciences, Operations Research & Management Other

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THE USE OF DATA AUGMENTATION AND EXPLORATORY DATA ANALYSIS IN ENHANCING IMAGE FEATURES ON APPLE LEAF DISEASE DATASET Rifaldo, Rifaldo; Sitompul, Daniel Ryan Hamonangan; Sinurat, Stiven Hamonangan; Situmorang, Andreas; Rahmad, Julfikar; Ziegel, Dennis Jusuf; Indra, Evta
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 2 (2023): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3438

Abstract

Apples are an essential commodity produced in Batu City, Malang. In 2017, Batu City, Malang, produced 19.1 tons of apples, while in 2018, Batu City, Malang, produced 15.9 tons of apples. It can be concluded that the decline in the number of apple harvests in Batu City, Malang. With the influence of technology in agriculture, the influence of technology can be used to detect diseases on leaves to overcome the decrease in the number of harvests. With the Image Augmentation method used in this study, the existing dataset can have 6x more features. So that the healthy category, which previously had 516 image features, now has 3096 image features, the scab category, which previously had 592 image features, now has 3552 image features and the rust category, which previously had 622 image features, now has 3732 image features. With a dataset with 3000 image features, the model to be made can have a higher accuracy value. The model can be said to be sturdy/sturdy/good, or the model to be made can carry out the classification process with a good level of accuracy.
Pelatihan Komunikasi Organisasi dan Implementasi Pengendalian Penyakit Bercak Daun pada Bibit Kelapa Sawit Cameron, Rizky Randal; Afriani, Siti Rakhmi; Rosita, Rosita; Sihotang, Agustina Elisabeth; Wanti, Ririn Meyda; Dedek, Dedek; Priatna, Nuur Rizkia; Rifaldo, Rifaldo
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.22029

Abstract

Pendahuluan: Kelapa sawit (Elaeis guineensis Jacq.) telah menjadi pilar utama ekonomi di Sumatera Selatan, berfungsi tidak hanya sebagai sumber pangan dan energi, tetapi juga sebagai pencipta lapangan kerja dan penggerak pendapatan daerah. Studi ini bertujuan untuk memberikan penguatan kepada mitra mengenai pengendalian penyakit bercak daun pada bibit kelapa sawit dengan melakukan komunikasi organisasi efektif dan implementasi Integrated Disease Management. Metode: Integrated Disease Management (IDM). Hasil: Adanya peningkatan pengetahuan dari segi komunikasi efektif dan manajemen, metode IDM mampu menurunkan tingkat serangan penyakit secara signifikan (0,41%) dibandingkan dengan metode konvensional (1,66%). Selain lebih efisien dari segi biaya, pendekatan ini juga lebih ramah lingkungan dan menjaga keberlanjutan kesuburan tanah. Kesimpulan: Kegiatan ini membuktikan bahwa dengan pendekatan yang tepat, pembibitan kelapa sawit dapat ditingkatkan kualitasnya sekaligus mendukung keberlanjutan sektor perkebunan di daerah yang endemik penyakit.  
Co-Authors Dedek, Dedek Indra, Evta Priatna, Nuur Rizkia Rahmad, Julfikar RIZKY RANDAL CAMERON, RIZKY RANDAL Rosita Rosita Sihotang, Agustina Elisabeth Sinurat, Stiven Hamonangan Siti Rakhmi Afriani Sitompul, Daniel Ryan Hamonangan Situmorang, Andreas Wanti, Ririn Meyda Ziegel, Dennis Jusuf