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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOCHAC
Iriani, Latifah
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Computer Science & IT Education

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Deteksi Tanaman Kelapa Sawit Belum Menghasilkan pada Citra Udara Beresolusi Tinggi menggunakan Metode Deep Learning Mimboro, Prasetyo; Iriani, Latifah
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 3 (2025): Volume 11 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i3.102052

Abstract

Deteksi dan perhitungan jumlah pohon kelapa sawit merupakan langkah penting dalam mendukung pemantauan produktivitas perkebunan. Penelitian ini menerapkan model YOLOv11m yang dikombinasikan dengan framework Slicing Aided Hyper Inference (SAHI) pada citra udara beresolusi tinggi yang diperoleh dari Unmanned Aerial Vehicle (UAV). Penelitian ini terdiri dari tiga tahap, yaitu pengumpulan data citra udara dan pelabelan, pelatihan model YOLOv11m dengan penyesuaian hyperparameter, serta pengujian model menggunakan metode slicing dari SAHI untuk meningkatkan kemampuan deteksi terhadap objek kecil. Berdasarkan hasil pengujian, model berhasil mendeteksi sebanyak 1.784 pohon kelapa sawit dari total 2.115 pohon aktual, dengan 10 deteksi salah dan 321 pohon tidak terdeteksi, menghasilkan nilai Mean Absolute Percentage Error (MAPE) sebesar 15,66%. Hasil ini menunjukkan bahwa kombinasi YOLOv11m dan SAHI mampu memberikan performa yang cukup baik dalam mendeteksi pohon kelapa sawit belum menghasilkan pada citra udara beresolusi tinggi, serta berpotensi diterapkan dalam proses pemantauan dan perhitungan pohon secara otomatis pada area perkebunan yang luas.
Pengembangan Sistem Informasi Pencatatan Keuangan Berbasis Web di Dukuh Tegalan pratiwi, sinta arum; susena, edy; Kusuma, Ridho Surya; Nugroho, Rakhmat Prasetyo Agung; Iriani, latifah; Supriyanto, Joko
Journal of Cyber Health and Computer Vol 3 No 2 (2025): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v3i2.53

Abstract

Abstract—Financial recording is an important aspect in the administration of an organization or community, including in Dukuh Tegalan, However, until now financial recording in Dukuh Tegalan still uses a manual method using books, which are prone to recording errors, data loss, damage, and failure of efficiency in managing residents’ financial data.   This problem can certainly hinder transparency and accountability in financial reporting. To overcome this, a digital-based financial recording information system was designed and develoved using the Waterfall Method. This method was chosen because of its systematic and structured stages, starting from planning, needs analysis, system design, implementation, testing or testing, and maintenance. This information system is designed to facilitate recording of income and expenditure of funds in Dukuh Tegalan, creating financial reports reports automatically and practically, and can store data safely and in an organized manner. Based on the initial hypothesis, it reduces the level of recording errors, and provides convenience in recording and preparing financial reports in real-time and accurately. In addition, this system is expected to be able to increase transparency and citizen trust in financial management at the hamlet level.   Keywords—digital based finance; waterfall method; automatic; practical ; real-time
Co-Authors Joko Supriyanto Kusuma, Ridho Surya Mimboro, Prasetyo Nugroho, Rakhmat Prasetyo Agung pratiwi, sinta arum Susena, Edy