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All Journal Abdi Jurnal Publikasi AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Tritya Adi Dharma
Universitas Pamulang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Social Sciences Other

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Pengenalan Perangkat Keras Komputer Menggunakan Game Tebak Gambar Berbasis Web Di Rumah Baca RAKUS Rizky Hanifudin; Putri Rokhmayati; M Fadhly Noor Rizqi; Rizky Destyan Pulunggono; Wardah Oktafiani; Iqbalsyah Khatami; Tritya Adi Dharma; Satria Banistama; Salwa Carelina Maybrella; Andini Gustiani
Abdi Jurnal Publikasi Vol. 1 No. 3 (2023): Januari
Publisher : Abdi Jurnal Publikasi

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In an era of rapid technological development like today, we are entering the 4.0 revolution era where technology is used in various fields, the dependence on technology is increasing in various circles, and ages. With the increasing dependence on technology in various circles and ages, therefore we should introduce technology to children as early as possible. Such as introducing what a computer is, introducing the basics of computer equipment and so on. To introduce the basics of computer equipment to children, of course, with the right method so that children can easily understand and also not get bored with the introduction method. The RAKUS Reading House (Library Bookshelf) is a reading house that houses a relatively large number of children, located in Bojong Indah, Parung Bogor. Most of the children at the RAKUS Reading House (Library Bookshelf) still do not have a basic understanding of the basics of computer equipment. On average, children only know the shape of the device without a deeper understanding of the names and uses of existing computer devices. In order to be able to implement a method of introducing the basics of computer hardware to children so that it is easy to understand and not boring, we are working with Rumah Baca RAKUS (Library Bookshelf) to hold activities to introduce computer hardware to children. In this activity we use a web-based picture guessing game. By holding community service (PKM) it is hoped that it can help the children of the RAKUS Reading House (Library Bookshelf) to recognize and understand the basics of computer equipment, of course, in a fun and fun way. So that in the future the children can prepare more maturely for provisions to a higher level of education.
Automatisasi Deteksi Penyakit Tumbuhan Menggunakan Metode RetinaNet Dennis Fajriansyah; Rizky Destyan Pulunggono; Ruspiyadi; Tritya Adi Dharma
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 1 No. 1 (2023): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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This research is based on the main problem in agriculture, which is plant diseases that can cause significant losses. Rapid and accurate plant disease detection is crucial in controlling and preventing the spread of diseases. In recent years, advancements in computer technology and image processing have led to the application of artificial intelligence methods in plant disease detection and identification. RetinaNet method is proposed as an effective solution for automating plant disease detection. This method utilizes neural networks to detect and classify objects in images. The research will employ image segmentation techniques, such as blob analysis and color modeling, to prepare the training and testing data. By applying RetinaNet method and proven image segmentation techniques, this study aims to develop an accurate and widely applicable automated plant disease detection system in the agricultural industry. The findings of this research are expected to contribute to the development of AI-based agricultural technology and serve as a foundation for further research in this field
Co-Authors Andini Gustiani Dennis Fajriansyah Iqbalsyah Khatami M Fadhly Noor Rizqi Putri Rokhmayati Rizky Destyan Pulunggono Rizky Hanifudin Ruspiyadi Salwa Carelina Maybrella Satria Banistama Wardah Oktafiani