Garuda - Garba Rujukan Digital

APLIKASI PENGENALAN PLAT NOMOR KENDARAAN DI UNIVERSITAS RIAU Noprizal; Feri Candra
JURNAL FASILKOM (teknologi inFormASi dan ILmu KOMputer) Vol 9 No 3 (2019): Jurnal Fasilkom
Publisher : Fakultas Ilmu Komputer, Unversitas Muhammadiyah Riau

Abstract Vehicle license plate recognition application has been found in shopping centers, university, and other agency buildings with various methods of recognition. Some examples of methods used such as digital image processing techniques, neural networks and so forth. This study makes an application for the introduction of license plates, especially for student vehicle license plates in the university area. This application is developed with Digital Image Processing Methods and Artificial Neural Networks. In this study, 900 training data are used, taken from 200 photo vehicle number plates, to train 36 characters that contain 26 alphabets and 10 decimal numbers. The training data is used to test 30 photos of vehicle license plates. Plate photos used as training and testing data are the Indonesian standard with black and white plates. Artificial Neural Network used to recognize vehicle license plate by using the Backpropagation method with parameters Epoch 1000, Hidden layer1 with node 60, Hidden layer2 with node 55, Goal 0.001. The final conclusion of this Study shows that the use of Artificial Neural Network Backpropagation method is very good, with the best testing accuracy obtained, namely 98% and 1.25 error. Keywords : digital image processing, artificial neural networks, vehicle license plate Abstrak Aplikasi pengenalan plat nomor kendaraan sudah banyak ditemukan di pusat perbelanjaan, universitas, dan gedung instansi dengan berbagai metode pengenalan. Beberapa contoh metode yang digunakan seperti teknik pengolahan citra digital, jaringan syaraf tiruan dan lain sebagainya. Disini penulis membuat sebuah aplikasi pengenalan plat nomor kendaraan khususnya untuk plat nomor kendaraan mahasiswa yang ada dilikungan Universitas Riau. Aplikasi ini dikembangkan dengan metode pengolahan citra digital dan jaringan syaraf tiruan. Pada penelitian ini, digunakan 700 data pelatihan yang diambil dari 200 foto plat nomor, untuk melatih 36 karakter. Data pelatihan tersebut kemudian digunakan untuk menguji 30 foto plat nomor kendaraan. Foto plat yang dijadikan untuk data pelatihan dan pengujian yaitu plat standar indonesia yang berwarna hitam dan putih. Jaringan syaraf tiruan yang digunakan untuk melakukan pengenalan yaitu dengan Metode Backpropagation dengan parameter Epoch 1000, Hidden layer1 dengan jumlah node 60, Hidden layer2 dengan jumlah node 55, Goal 0,001. Kesimpulan akhir dari penelitian ini yaitu menunjukan bahwa penggunaan Metode Backpropagation jaringan syaraf tiruan ini sangat bagus, dengan akurasi pengujian terbaik yang didapat yaitu 98% dengan eror 1,25. Kata kunci: pengolahan citra digital, jaringan syaraf tiruan, Backpropagation, plat nomor

PEMAHAMAN REALITAS SOSIAL EKONOMI MASYARAKAT MELALUI RISET AKSI PARTISIPATIF Mochtar, M. Mochtar Mas'od; Ahmad Maulana Anshori; Muhammad Haris; Noprizal; Reni; Siti Zahrina
Dakwatul Islam Vol 9 No 1 (2024): Dakwatul Islam
Publisher : Prodi Pengembangan Masyarakat Islam STAI Diniyah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46781/dakwatulislam.v9i1.910

Abstrak Penelitian ini menggunakan metode Participatory Action Research (PAR) untuk memahami situasi sosial ekonomi masyarakat di Jalan Mahasantri, Kelurahan Rimbo Panjang, Pekanbaru. Dengan alat seperti pemetaan sosial, siklus harian, dan transect walk, penelitian ini menginvestigasi kehidupan masyarakat lokal. Pemetaan sosial membantu melukiskan wilayah secara lengkap, termasuk infrastruktur, kemampuan, dan potensi masyarakat. Siklus harian memberikan gambaran tentang kegiatan sehari-hari dan bagaimana waktu dibagi di keluarga, sementara transect walk digunakan untuk mengidentifikasi kondisi lahan, komoditas utama, dan peluang lingkungan. Hasil penelitian menemukan bahwa adanya keterlibatan aktif dan partisipasi yang tinggi, mendukung perekonomian lokal karena banyaknya mahasiswa yang menjadi konsumen utama. Namun, penting untuk memberikan perhatian tambahan pada masalah kebersihan dan tata ruang. Harapannya, kerja sama antara masyarakat, pemerintah, dan perguruan tinggi dapat memperbaiki keadaan sosial ekonomi di daerah ini. Kata Kunci: Participatory Action Research, Penerapan, Sosial-Ekonomi, Masyarakat Abstract This research uses the Participatory Action Research (PAR) method to understand the socio-economic situation of the community in Jalan Mahasantri, Kelurahan Rimbo Panjang, Pekanbaru. Using tools such as social mapping, daily cycles, and transect walks, the research investigated the lives of local people. Social mapping helps to paint a complete picture of the area, including the infrastructure, capabilities and potential of the community. Daily cycles provide an overview of daily activities and how time is divided within the family, while transect walks are used to identify land conditions, key commodities and environmental opportunities. The results found that there is active engagement and high participation, supporting the local economy as many students are the main consumers. However, it is important to pay additional attention to hygiene and spatial planning issues. It is hoped that co-operation between the community, government and universities can improve the socio-economic situation in this area. Keywords: Participatory Action Research, Implementation, Socio-Economic, Community.

DOSIS DAN WAKTU APLIKASI POC DAUN LAMTORO TERHADAP PERTUMBUHAN VEGETATIF CABAI HIJAU Sri Winayanti Siregar; Siti Yuli Meilanda Sormin; Putri Lukmanasari; Agung Primatara Marwan; Noprizal
DINAMIKA PERTANIAN Vol. 41 No. 3 (2025): Jurnal Dinamika Pertanian Edisi Desember 2025
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/dp.2025.vol41(3).26986

Green chili (Capsicum annuum L.) is a high-value horticultural crop whose vegetative growth is strongly influenced by nutrient availability, particularly nitrogen. Liquid organic fertilizer (LOF) derived from lamtoro leaves has potential as an environmentally friendly alternative fertilizer. This study aimed to evaluate the effects of dosage and application timing of lamtoro leaf liquid organic fertilizer on the vegetative growth of green chili. The research was conducted from May to August 2024 in Padang Lawas Utara, North Sumatra, using a factorial randomized block design with two factors. The first factor was LOF dosage, consisting of four levels: no LOF (D0), 100 ml/polybag (D1), 150 ml/polybag (D2), and 200 ml/polybag (D3). The second factor was application timing, namely 7 days after planting (DAP) (W1), 14 DAP (W2), and 21 DAP (W3), with three replications. Observed parameters included plant height, number of leaves, and stem diameter. Data were analyzed using ANOVA followed by the Least Significant Difference (LSD) test at the 5% level. The results showed that LOF dosage significantly affected all vegetative growth parameters of green chili. The highest plant height, number of leaves, and stem diameter were obtained at the dosage of 200 ml/polybag. Application timing at 14 and 21 DAP resulted in better vegetative growth than at 7 DAP. The combination of 200 ml/polybag LOF dosage with application timing at 14 and 21 DAP was the most effective treatment for improving vegetative growth of green chili.

DOSIS DAN WAKTU APLIKASI POC DAUN LAMTORO TERHADAP PERTUMBUHAN VEGETATIF CABAI HIJAU Sri Winayanti Siregar; Siti Yuli Meilanda Sormin; Putri Lukmanasari; Agung Primatara Marwan; Noprizal
DINAMIKA PERTANIAN Vol. 41 No. 3 (2025): Jurnal Dinamika Pertanian Edisi Desember 2025
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/dp.2025.vol41(3).26986

Green chili (Capsicum annuum L.) is a high-value horticultural crop whose vegetative growth is strongly influenced by nutrient availability, particularly nitrogen. Liquid organic fertilizer (LOF) derived from lamtoro leaves has potential as an environmentally friendly alternative fertilizer. This study aimed to evaluate the effects of dosage and application timing of lamtoro leaf liquid organic fertilizer on the vegetative growth of green chili. The research was conducted from May to August 2024 in Padang Lawas Utara, North Sumatra, using a factorial randomized block design with two factors. The first factor was LOF dosage, consisting of four levels: no LOF (D0), 100 ml/polybag (D1), 150 ml/polybag (D2), and 200 ml/polybag (D3). The second factor was application timing, namely 7 days after planting (DAP) (W1), 14 DAP (W2), and 21 DAP (W3), with three replications. Observed parameters included plant height, number of leaves, and stem diameter. Data were analyzed using ANOVA followed by the Least Significant Difference (LSD) test at the 5% level. The results showed that LOF dosage significantly affected all vegetative growth parameters of green chili. The highest plant height, number of leaves, and stem diameter were obtained at the dosage of 200 ml/polybag. Application timing at 14 and 21 DAP resulted in better vegetative growth than at 7 DAP. The combination of 200 ml/polybag LOF dosage with application timing at 14 and 21 DAP was the most effective treatment for improving vegetative growth of green chili.

Title

Found 4 Documents
Search

Abstract

Abstract

Abstract

Abstract

Title Search

Found 4 Documents Search

Abstract

Abstract

Abstract

Abstract

Title

Found 4 Documents
Search