Identifying the identity of a prisoner in a detention cell, through facial recognition automatically is a big, exciting problem and there are many different approaches to solve this problem because it must detect multiple faces (multi-face). Especially in uncontrolled real-life scenarios, faces will be seen from various sides and not always facing forward, which makes classification problems more difficult to solve. In this research, one method is combined deep neural networks that is Convolutional Neural Networks (CNN) and Haar Cascade Classifier as real-time facial recognition, which has proven to be very efficient in face classification. Methods are implemented with assistance library Open-CV for multi-face detection and 5MP CCTV camera devices. In preparing the architectural model Convolutional Neural Networks Do configuration parameter initialization to speed up the network training process. Test results on 51 test data using constructs Convolutional Neural Networks VGG16 models up to a depth of 16 layers of convolution layers with input from the extraction of the Haar Cascade Classifier resulting in facial recognition system performance reaching an accuracy rate of about 87%.
Indonesia is an agrarian country with its extensive production sectors. One of them is of biopharma commodities called noni (Morinda sp.). The production number of noni fruit in 2013 is 8,432,119 kg and 8,577,347 kg in 2014. The research aims to obtain an optimum temperature and concentration of maltodextrin of noni powder making, the optimum total of yield and antioxidant. The powdering process was carried out using Foam Mat Drying. The research employed the Response Surface Method (RSM) with central composite design factorial 2 2 for optimization. The factors studied were maltodextrin (10%, 15%, and 20%) and temperatures (80°C, 85°C, and 90°C). The results showed that the optimum formula composition specifically is at a temperature of 84.447°C, and 20% w/w (weight by weight) of maltodextrin. Based on the optimum formula, it was predicted that the value of the antioxidant activity was 60.473 mg/ml per 100 mg, and the yield was 22.417% w/w. Hence, it can be concluded that the optimum formula obtained can be used as a model for the making of noni fruit powder.
The intersection of Jalan Perjuangan - Jalan Kaliabang Babelan, North Bekasi is experiencing high traffic flow. It is because the intersection area is a shopping area and a residential area so that traffic jams often occur during busy traffic jams. This research aims to see the degree of saturation and delay at the research location. This research was conducted using a method based on MKJI 1997. The results of the analysis in the morning, the maximum flow that occurs on weekdays is 5533.7 pcu / hour, the minimum flow on holidays is 3982.2 pcu / hour with the degree of saturation on working day in the morning is equal to 1.18, and the degree of saturation in morning on holidays is 1.30 with a delay in morning in holidays is 36.1 sec / pcu, the delay in morning on working day is 5.7 sec / pcu. The results of the analysis during the day that the maximum flow occurs on holidays is 3905.6 pcu / hour, the minimum flow on working day is 3551.9 pcu / hour with the degree of saturation on holiday is 1.11, the degree of saturation on weekdays in the afternoon is 0.83 with a delay on holiday is 26.97 sec / pcu, a delay on working day is 13.48 sec / pcu. The results of the analysis in the afternoon the maximum flow occurs on weekdays of 6304.8 pcu / hour, the minimum flow on holidays is 5869.1 pcu / hour with the degree of saturation on working day is 1.84, the degree of saturation on holidays is 1.55 with a delay on working day is 0.74 sec / pcu, and delay on holidays is 1.08 sec / pcu
Noni or pace (Morinda citrifolia) is a medicinal plant with much interest from entrepreneurs in the traditional medicine industry and researchers in various countries. This study aimed to design the development of an agro-industry business (UD. ZAM) to increase competitiveness. The design of this research was descriptive using the expert system method. The analysis technique employed the MSME DSS software version 2.0 with a legal, marketing, management, human resources, environmental, and financial analysis model to design a Decision Support System. The results obtained were that UD. ZAM already had complete business legalization, such as Company Registration Certificate (TDP) 13.07.5.47.25386, Trading Business License (SIUP) 503/0087/411/2015, Taxpayer Identification Number (NPWP) 72.691.633.1-626.000, and Permit Industrial Business (IUI) 503/3212/411/2015, and P-IRT NO2133509103570-21. Therefore, with the license certificate, UD. ZAM was legal. In the marketing of noni products so far, it is export-oriented, which has advantages so that it can be developed. In terms of production performance, it shows the required production process and aspects of human resources provided by UD. ZAM standard regional minimum wage (UMR) and employment in rural areas, in a high feasibility environment, because it was easy to obtain materials and in financial aspects such as the assumption of an interest rate of 15%, break event point (BEP) quantity 25,833.87 and ( BEP) sales 261.397.03.77, benefit coast ratio (BCR) 2.35, payback period 1.23, net present value (NPV) 18.066.137.185.78, probability index (PI) 11, 28, and internal rate of return (IRR) 56.44. Keywords: Noni Agroindustry; Decision Support System (DSS).Mengkudu (Morinda citrifolia) adalah tanaman obat yang banyak peminatnya dari kalangan pengusaha industri obat tradisional dan peneliti diberbagai negara. Penelitian ini bertujuan untuk merancang pengembangan usaha agroindustri UD. ZAM untuk meningkatkan daya saing. Rancangan penelitian ini adalah deskriptif menggunakan metode expert system. Teknik analisis menggunakan software DSS UMKM version 2.0 dengan model analisis aspek hukum, aspek pemasaran, aspek produksi, aspek manajemen dan sumber daya manusia, aspek lingkungan, dan aspek keuangan. Hasil penelitian yang diperoleh adalah UD. ZAM telah memiliki kelengkapan legalisasi usaha Tanda Daftar Perusahaan (TDP) 13.07.5.47.25386, Surat Izin Usaha Perdagangan (SIUP) 503/0087/411/2015, Nomor Pokok Wajib Pajak (NPWP) 72.691.633.1-626.000, Izin Usaha Industri (IUI) 503/3212/411/2015, dan P-IRT NO2133509103570-21. Pemasaran produk noni selama ini berorientasi ekspor yang memiliki kelebihan kepastian pasar sehingga layak untuk dikembangkan, pada aspek kinerja produksi menunjukkan tingkat kelayakan rendah, aspek sumber daya manusia sistem upah yang diberikan oleh UD. ZAM standart Upah Minimum Regional (UMR) dan memberi lapangan pekerjaan pada masyarakat pedesaan, pada aspek kinerja lingkungan tingkat kelayakan tinggi, karena selama ini mudah untuk mendapatkan bahan baku, pada aspek keuangan seperti asumsi tingkat bunga sebesar 15%, break event point (BEP) kuantitas 25.833.87 maupun (BEP) penjualan 261.397.03,77,benefit coast ratio (BCR) 2,35, payback period 1,23, net present value (NPV) 18.066.137.185,78, probability index (PI) 11,28, dan internal rate of return(IRR) 56,44 maka layak dikembangkan lebih lanjut
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