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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains AL-FALAH : Journal of Islamic Economics
Noprizal Noprizal, Noprizal
Unknown Affiliation
Economics, Econometrics & Finance Engineering

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Formulasi Hybrid Contract Sebagai Alternatif Pembiayaan Pertanian Di Bank Syariah Pratiwi, Rahmi; Noprizal, Noprizal
AL-FALAH : Journal of Islamic Economics Vol 2, No 2 (2017)
Publisher : Sekolah Tinggi Agama Islam Negeri Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jie.v2i2.254

Abstract

This research uses interpretive approach. This approach is chosen to understand a symptom both oral and written, and aims to know a symptom of the symptoms themselves are studied in depth using the instrument interview or interview with informants. This research was conducted to understand how the portrait of agricultural financing in both Islamic banks namely Bank Muamalat and BPRS SAFIR Curup branch. The results showed that the existing agricultural financing in both sharia banks using murabaha schemes used to finance the goods or tools that support the agricultural business. According to the authors, murabahah contract is not appropriately applied to the agricultural sector because it has not been able to answer the needs of farmers. A more precise contract is profit-sharing such as muzaraah or mukhabarah. Therefore, the authors recommend the formulation of contracts on the agriculture sector based on hybrid contracts namely bai al-wafa wal muzaraah and bai al-wafa wal mukhabarah.
Aplikasi Pengenalan Plat Nomor Kendaraan Mahasiswa Di Universitas Riau Noprizal, Noprizal; Candra, Feri
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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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 BPNN 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 BPNN method is very good, with the best testing accuracy obtained, namely 98% and 1.25 error.Keywords: Digital Image Processing, Artificial Neural Networks,BPNN, Vehicle License Plate
Co-Authors Feri Candra Rahmi Pratiwi, Rahmi