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All Journal Jurnal Pendidikan dan Pembelajaran Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Prosiding SNATIF InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal SOLMA JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Jurnal DISPROTEK Jurnal Nasional Komputasi dan Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JUTEKIN (Jurnal Manajemen Informatika) Jurnal SITECH : Sistem Informasi dan Teknologi jurnal teknik informatika dan sistem informasi E-Link: Jurnal Teknik Elektro dan Informatika Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Indonesian Journal of Technology, Informatics and Science (IJTIS) Muria Jurnal Layanan Masyarakat Nusantara Journal of Computers and its Applications SmartComp
Evanita Evanita, Evanita
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Muria Kudus
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Journal : Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)

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Klasifikasi Kualitas Wortel Menggunakan Metode K-Nearest Neighbor Berbasis Android Farich Al Azami; Aditya Akbar Riadi; E Evanita
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 7, No 1 (2022): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v7i1.413

Abstract

In several studies, many have produced various programs or applications specifically designed to identify plants, fruits, leaves or others based on the specified characteristics. Of the various kinds of fruits and vegetables, carrots are vegetables that have many benefits and are liked by the majority of people. So it is necessary to choose good quality fruit to produce quality products as well. However, so far, the selection of quality carrots is still using the manual method with the human sense of sight to determine good and bad quality carrots. . Image processing in this application uses the K-Nearest Neighbor (KNN) algorithm which is a method that classifies objects based on the learning data that is closest to the object. In the development of the carrot quality classification application, it is hoped that it can help farmers, industry, or the general public in sorting out good and efficient carrot quality. On the results of the classification using this classification system got a percentage of 74.19%
Aplikasi Pengolahan Citra Digital Menentukan Bobot Sapi Dengan Metode Titik Berat Berbasis Android Vicki Yuda Mahendra; Aditya Akbar Riadi; E Evanita
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 7, No 1 (2022): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v7i1.419

Abstract

Cattle is a consumption animal that is in great demand by Indonesians, its soft meat and delicious taste make beef one of the most expensive meats at the moment, cattle breeders are now starting to modernize and continue to develop their farms to make it easier to maintain and sell cattle, in this modern era there are many things that are facilitated by technology that makes it easier for people to do things, one of which is calculating the weight of a cow with an android application by entering an image of a cow that will be processed and will produce a value for the size and weight of the cow. The weight of the cow can be calculated using the Schoorl formula and the Modified/ Lambourne formula which requires variables of body length and chest circumference for calculation. To get bodyweight, it is necessary to measure chest circumference and body length which are measured manually. However, the reality in the field shows that to get the values for chest circumference and body length, manual measurements need to be carried out, and this is not easy to do because cows are difficult to condition. In the field itself, there is no practical and accurate tool to calculate chest circumference, body length, and weight of cows. Starting from this problem, gave rise to the idea of making a tool that can measure accurately and easily.
Sistem Pendukung Keputusan Pemilihan Tanaman Hias Hoya Carnosa Berbasis Android Menggunakan Metode TOPSIS Fera Anggraini Fistiana; E Evanita; Aditya Akbar Riadi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 2 (2021): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i2.352

Abstract

Along with the rapid development of the times, the number of consumers who need ornamental plants provides good prospects for the future of the ornamental plant business, especially for ornamental plant farmers. Ornamental plants are not limited to ornamental plants that live in pots, but also include cut flowers, cacti, bonsai, hoya carnosa hydroponic plants and tabor flowers. This study aims to develop a Decision Support System (DSS) for the selection of hoya carnosa ornamental plants. The criteria for selecting hoya carnosa ornamental plants are to have a beautiful basic shape, come from long-lived plants, easy-to-form stems and branches, attractive and curvy skin surface, small leaves and quite dense, the condition of the plant is old enough and the plant is strong to form. The system was built using the Android programming language and applied the TOPSIS method to determine the hoya carnosa ornamental plants.
Klasifikasi Kelayakan Beras Menggunakan Metode Laplacian of Gaussian Khabib Abdullah; Aditya Akbar Riadi; E Evanita
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 2 (2021): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i2.353

Abstract

Rice is a staple food for some Indonesians, but lately there is a lot of rice that is not fit for consumption/not worth selling, but is still being traded in the market by irresponsible people. With the development of technology that is growing rapidly, it is directly proportional to the development of information systems. The problem here is that the rice we consume, the quality is determined by the price, even though the price does not necessarily guarantee the quality of the rice. From these problems, a system is made that can classify rice. This research takes a picture of rice setra ramos and then the image is processed by the image, according to the size of the border and the color that has been determined. That is 0.7 cm the size of good rice and clean white or yellow-brown in color. The result of image processing is in the form of rice classification, namely good rice, medium rice, and bad rice. In thos study, using the Python programming language and the opencv library as image processing. With this system, it is hoped that it can help people choose rice that is suitable for consumtion.
Co-Authors Aditya Akbar Riadi Aditya Akbar Riadi Agus Najmuddin Apriliyanti, Nurul Falah Arief Susanto Arief Susanto Aulia Umi Hanifah Bakhar, Muhamad Dafiq Elok Noor Hannas Diana Ermawati Durrun Nada Amarylis Dwyan Akbar Putra Edi Noersasongko Esti Wijayanti Farich Al Azami Fera Anggraini Fistiana Gabriel Dwiki Ari Permadani Ina, Ina Khabib Abdullah Lovika Ardana Lusi, Lusi Maulana Aditya Yusman Maulana Wijayanto Mohammad Dahlan Muhamad Bakhar Muhamad bakhar Bakhar Muhammad Malik Hakim, Muhammad Malik Muhammad Ulin Nuha Putra Aprilian Prastianing Huda Ricardus Anggi Pramunendar Tri Listyorini Tutik Khotimah Vicki Yuda Mahendra Wahono, Robet