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All Journal Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik
Miftahul Walid
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Sistem Pengenalan Citra Dokumen Tanda Tangan Menggunakan Metode CNN (Convolutional Neural Network) Raudlatul Jannah; Miftahul Walid; Hoiriyah Hoiriyah
Energy - Jurnal Ilmiah Ilmu-Ilmu Teknik Vol 12 No 2 (2022): Jurnal Energy Vol. 12 No. 2 November 2022
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v12i2.1116

Abstract

A signature is a marker or identity that is on a document. Signatures have an important role in verifying and legalizing documents. The signature is not just any sign but is a legal and original image of the owner. With the development of today's technology, identification of signature patterns can not only be done manually, but can also be done with the help of a computer. However, the computer does not automatically carry out the identification process, but requires a pattern recognition process first which can be done by extracting the signature feature. Identification of the signature pattern is needed to recognize and distinguish the signature of each individual based on the characteristics of the signature. Therefore, this study is expected to be an alternative to minimize signature recognition errors by using the CNN (convolutional neural network) method. The research stages include taking signatures from 10 respondents as many as 200 signature images for training data, and 50 signatures for testing data. then taken with a scanner. The results of this study are the Convolutional Neural Network method can recognize each signature image with an accuracy of 100% in the validation testing process and 85% in the testing process. Keywords: Signature, convolutional neural network, Digital Image Processing
Pengembangangan Alat Penyiram Otomatis Dan Monitoring Budidaya Cabe Merah Berbasis Internet Of Things (Iot) Miftahul Walid; Sohibul Burhan
Energy - Jurnal Ilmiah Ilmu-Ilmu Teknik Vol 13 No 1 (2023): Jurnal Energy Vol. 13 No. 1 Mei 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v13i1.1047

Abstract

Technology of today has improved a number of spheres of life, including governance, agriculture, and education. Information technology use tries to provide efficiency in a number of ways. Given Indonesia's low level of technological development, particularly in the area of agriculture, innovation is unquestionably required if this country is to be competitive on the global stage. This is especially true in this era of globalization. Clearly, the agriculture sector has to develop technology that makes human labor more efficient and effective. Traditional farmers can benefit from technology in their operations to produce better yields and greater volumes. Red chili is one of the key agricultural products that needs to be developed because it has a high economic value, is a superior national and regional product, and occupies a significant place in the menu due to the fact that almost the entire population of Indonesia consumes it every day, albeit in small amounts. This plant can grow to a height of mdpl in both the lowlands and the highlands, but the lowlands are where it grows the best. The ideal air temperature range for growing chile plants is 18°C to 28°C. Fertilization might be hindered by temperatures between 16 and 32 degrees Celsius. The soil wetness of chili plants ranges between 60% and 80%. When limited space is available, growing red chilies either directly or in pots can be a solution. are hard to come by, especially for family needs. For farmers or plant owners, smart garden technology works and offers advantages, as well as a way to communicate with plants.
Co-Authors Hoiriyah Hoiriyah Raudlatul Jannah Sohibul Burhan