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All Journal Jurnal Tanah dan Air Jurnal Tanah dan Air (Soil and Water Journal) Abdi Jurnal Publikasi Journal of Research and Publication Innovation AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Daffa Dhiya Ulhaq
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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Perancangan Sistem Sederhana Pendeteksi Nominal Uang Rupiah Menggunakan Algoritma YOLOv8 Achdiyat Ilyasa Samudra; Daffa Dhiya Ulhaq; Teguh Satrio; Teguh Zakaria; Perani Rosyani
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 1 No. 4 (2024): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Deteksi nominal uang Rupiah yang cepat dan akurat sangat penting untuk menjaga integritas transaksi ekonomi. Penelitian ini mengembangkan sistem sederhana untuk mendeteksi nominal uang Rupiah menggunakan algoritma YOLOv8. Algoritma YOLOv8 dipilih karena keunggulannya dalam deteksi objek secara real-time dengan akurasi tinggi dan efisiensi komputasi yang baik. Dalam penelitian ini, dataset gambar uang Rupiah asli digunakan untuk pelatihan model menggunakan Google Colab dan OpenCV. Hasil eksperimen menunjukkan bahwa algoritma YOLOv8 berhasil mendeteksi nominal uang Rupiah dengan tingkat akurasi yang tinggi. Implementasi algoritma ini diharapkan dapat memberikan solusi praktis bagi masyarakat dalam mengidentifikasi nominal uang Rupiah dengan cepat dan efektif, serta membantu mengurangi kesalahan dalam transaksi keuangan.
WORKSHOP PENGENALAN DASAR HTML DAN CSS KEPADA KARANG TARUNA GRIYA INDAH SERPONG Achdiyat Ilyasa Samudra; Ahmad Rifa’i; Daffa Dhiya Ulhaq; Dewi Putri Aulia; Ferdi Nur Rochim; Supriatna, Ibnu Hajar; Khairulah Tulfah; Muammar; Rizky Imam Syahputra; Teguh Satrio
Abdi Jurnal Publikasi Vol. 2 No. 2 (2023): November
Publisher : Abdi Jurnal Publikasi

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Abstract

Workshop ini ditujukan khusus bagi para pemula dalam pengembangan web yang ingin mendalami HTML dan CSS. Fokus utamanya adalah menerapkan pengetahuan ini dalam desain web responsif. Peserta akan dibimbing melalui materi dasar HTML, termasuk struktur konten, dan pengenalan pada CSS, mencakup prinsip-prinsip tata letak dan keterampilan implementasi desain responsif. Dalam kurikulum workshop, peserta akan terlibat dalam modul interaktif dan proyek praktikum, mengintegrasikan teori dengan praktik untuk membangun keterampilan dasar. Mereka akan dapat menciptakan halaman web menarik secara visual, responsif terhadap berbagai ukuran layar. Penekanan pada pengalaman praktis menjadi kunci dalam pendekatan workshop ini, memungkinkan peserta untuk langsung menerapkan pengetahuan. Mereka tidak hanya memahami teori dasar HTML dan CSS, tetapi juga dapat menghasilkan halaman web yang disesuaikan dengan lancar pada berbagai perangkat, memenuhi tuntutan desain web modern. Workshop ini memberikan dasar yang solid, memberikan peserta keyakinan untuk maju dalam dunia pengembangan web setelah mengikuti acara ini.
SISTEM INFORMASI PENJUALAN DAN PEMBELIAN PADA CV. FERDI CIKUPA BERBASIS JAVA Muammar; Ahmad Rifai; Daffa Dhiya Ulhaq; Ibnu Hajar; Karen Azelia Syalom; Samsoni
Journal of Research and Publication Innovation Vol 2 No 3 (2024): JULY
Publisher : Journal of Research and Publication Innovation

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Abstract

The aim of this research is to design a basic food sales information system at CV. Java-based Ferdi to assist employee performance in processing purchasing and sales data. This system is designed to increase the efficiency and effectiveness of store operations by utilizing information technology. Researchers conducted field studies to understand the shop's business processes in depth, starting from collecting data on goods, ordering to suppliers, to the sales process to customers. Apart from that, researchers also conducted interviews with employees and shop owners to identify system needs. Based on the results of the needs analysis, the researcher designed a system database in the form of interconnected tables to support system functions. The system is designed using the Java programming language with the waterfall method to facilitate system development and maintenance in the future. The main function of the system includes inputting master data such as goods, suppliers and employee data. There is also a module for carrying out sales transactions and ordering goods from suppliers online. Apart from that, there are reports that can be generated by the system such as sales reports, stock of goods, and financial reports for easy business analysis by shop owners. Test results show the system is able to meet business needs and can increase employee productivity.
Estimation of Nitrogen Content Using Green Normalized Difference Vegetation Index (GNDVI) in Sugarcane: Estimasi Kandungan Nitrogen Menggunakan Metode Green Normalized Difference Vegetation Indeks (GNDVI) di Tanaman Tebu Daffa Dhiya Ulhaq; Sari Virgawati
Jurnal Ilmu Tanah dan Air Vol 22 No 2 (2025): December 2025
Publisher : Universitas Pembangunan Nasional Veteran Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jta.v22i2.15581

Abstract

Sugarcane is one of the most widely cultivated plantation crops in Indonesia, but production has declined, particularly in Kapanewon Sedayu, Bantul, due to a suspected nitrogen deficiency. Nitrogen is required for the formation of buds, leaves, and stems. GNDVI is a vegetation index that is more sensitive to chlorophyll content. This study aims to determine the correlation between GNDVI and the nitrogen content of sugarcane tissue based on drone imagery, to develop an estimation model, and to produce an N-content map. The research was conducted at the Gunung Ombo Plantation, Argomulyo, Sedayu, Bantul, Yogyakarta, using a quantitative descriptive method. Forty-five sample points were established (30 for prediction and 15 for reference). Leaf samples were collected from the third leaf sheath of 5-month-old sugarcane and analyzed for nitrogen content using the Kjeldahl method. The relationship between GNDVI and tissue nitrogen was examined using Pearson’s correlation, linear regression, and paired t-tests. Results showed a strong correlation (r = 0.896) with a coefficient of determination (R² = 0.7891) and the regression equation y = 4.7507x + 0.6012. The paired t-test indicated no significant difference between predicted and reference nitrogen values. The resulting estimation map can support nitrogen fertilization management in sugarcane cultivation in the study area.
Estimation of Nitrogen Content Using Green Normalized Difference Vegetation Index (GNDVI) in Sugarcane: Estimasi Kandungan Nitrogen Menggunakan Metode Green Normalized Difference Vegetation Indeks (GNDVI) di Tanaman Tebu Daffa Dhiya Ulhaq; Sari Virgawati
Jurnal Ilmu Tanah dan Air Vol 22 No 2 (2025): December 2025
Publisher : Universitas Pembangunan Nasional Veteran Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jta.v22i2.15581

Abstract

Sugarcane is one of the most widely cultivated plantation crops in Indonesia, but production has declined, particularly in Kapanewon Sedayu, Bantul, due to a suspected nitrogen deficiency. Nitrogen is required for the formation of buds, leaves, and stems. GNDVI is a vegetation index that is more sensitive to chlorophyll content. This study aims to determine the correlation between GNDVI and the nitrogen content of sugarcane tissue based on drone imagery, to develop an estimation model, and to produce an N-content map. The research was conducted at the Gunung Ombo Plantation, Argomulyo, Sedayu, Bantul, Yogyakarta, using a quantitative descriptive method. Forty-five sample points were established (30 for prediction and 15 for reference). Leaf samples were collected from the third leaf sheath of 5-month-old sugarcane and analyzed for nitrogen content using the Kjeldahl method. The relationship between GNDVI and tissue nitrogen was examined using Pearson’s correlation, linear regression, and paired t-tests. Results showed a strong correlation (r = 0.896) with a coefficient of determination (R² = 0.7891) and the regression equation y = 4.7507x + 0.6012. The paired t-test indicated no significant difference between predicted and reference nitrogen values. The resulting estimation map can support nitrogen fertilization management in sugarcane cultivation in the study area.
Co-Authors Achdiyat Ilyasa Samudra Ahmad Rifai Dewi Putri Aulia Fachry Abda El Rahman Ferdi Nur Rochim Ibnu Hajar Karen Azelia Syalom Khairulah Tulfah Muammar Perani Rosyani Rizky Imam Syahputra Samsoni Sari Virgawati Supriatna, Ibnu Hajar Teguh Satrio Teguh Zakaria