Rancang Bangun Aplikasi Dengan Linear Congruent Method (LCM) Sebagai Pengacakan Soal

Arizqia, Muhammad Ganda; Widodo, Anang Aris

doi:10.31328/jointecs.v2i1.412

Cited by 8 publications

(9 citation statements)

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“…Untuk melakukannya dibutuhkan metode dengan kemampuan mengolah citra, salah satu teknik yang dapat digunakan adalah teknik deep learning dengan metode Convolutional Neural Network (CNN). Metode ini dapat menghasilkan tingkat akurasi yang signifikan karena metode ini mampu mempelajari sendiri fitur yang terdapat pada citra yang kompleks [4]. Penelitian ini memiliki batasan diantaranya citra tidak dapat diolah secara realtime, sebagai gantinya data citra diunggah kemudian diproses untuk diprediksi.…”

Section: Pendahuluanunclassified

Aplikasi Pendeteksi Penyakit Pada Daun Tanaman Apel Dengan Metode Convolutional Neural Network

Wicaksono¹,

Andryana²,

Benrahman³

2020

JOINTECS

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According to 2017 statistical fruit and vegetable crops published by BPS, total apple production in 2017 amounted to 319004 tons. There are many diseases that can attack apple plants, therefore early detection and identification of plant diseases are the main factors to prevent and reduce the spread of apple plant diseases. CNN method is used in this study with LeNet-5 architecture which can process 3151 imagery data with a mini-mum accuracy level of 75%. This study uses a dataset derived from PlantVillage created by SP Mohanty CEO & Co-founder of CrowdAI with a total of 3151 leaf images that have been classified according to their respec-tive classes. CNN stages include Convolution Layer, Rectified Linear Unit (ReLU), Subsampling, Flattening, Fully Connected Layer. The test results are evaluated using image testing data. The evaluation process is done using a confusion matrix. Based on the results of testing applications that are designed with 99,4% model ac-curacy and 97,8% validation accuracy, the application is useful for detecting apple disease using apple leaf images.

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Section: Pendahuluanunclassified

Aplikasi Pendeteksi Penyakit Pada Daun Tanaman Apel Dengan Metode Convolutional Neural Network

Wicaksono¹,

Andryana²,

Benrahman³

2020

JOINTECS

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“…Linear Congruent Method (LCM) merupakan metode pembangkit bilangan acak yang banyak digunakan dalam program komputer. Linear Congruent Method (LCM) digunakan untuk menentukan posisi penyembunyian data, dimana penempatan posisinya dilakukan secara acak [5], [6]. Dalam pembuatan soal latihan Daur Air dan Peristiwa akan ditampilkan secara acak.…”

Section: Pendahuluan Latar Belakangunclassified

Implementasi Metode Linear Congruent Methode (Lcm) Pada Aplikasi Pembelajaran Ipa Berbasis Android

Anatasya¹,

Jura²,

Muslim³

et al. 2020

JTI

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ABSTRAK Perancangan aplikasi media pembelajran ini bertujuan, (1) Untuk merancang Aplikasi Pembelajaran Proses Daur Air Dan Peristiwa Alam Pada Mata Pelajaran IPA Kelas V SD Berbasis Android. (2) Untuk mengimplementasikan Metode Linear Congruent Method (LCM) Aplikasi Pembelajaran Proses Daur Air Dan Peristiwa Alam Pada Mata Pelajaran IPA Kelas V SD Berbasis Android. Pada perancangan aplikasi ini, pemgembangan sistem yang digunakan yaitu UML (Unified Modeling Language). Sedangkan pembuatan aplikasi perangkat lunak dalam penulisan ini menggunakan perangkat lunak Adobe Profesional CS6, CorelDraw, Adobe AIR, PhotoShop dengan menggunakan metode LCM (Linear Congrate Methode). Hasil dari penelitian ini adalah sebuah media pembelajaran yang dapat memudahkan siswa untuk saling berinteraksi dalam belajar dan menciptakan pembelajaran yang tidak membosankan, serta mampu meningkatkan motivasi belajar siswa.

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“…The solution is to apply randomization of questions to the exam application using the LCM method. LCM can minimize fraud in a certain group, this is the reason for choosing an auxiliary algorithm in making the system in this study (Arizqia & Widodo, 2017a). Based on previous research that has described the data, it can be concluded that the SIOBEL API design research will use the GraphQL architecture which has a smaller data return size with an LCM supporting algorithm that can be a random function in class members.…”

Section: Introductionmentioning

confidence: 99%

“…The important aspect of education, the quality of education must also be considered. The implementation of computerized exams needs to pay attention to possible fraudulent acts (Arizqia & Widodo, 2017b). This could be due to the cooperation of several parties who know each other.…”

Section: Introductionmentioning

confidence: 99%

Information System Web Based for Group Randomization of State Defense Education Class using Linear Congruential Method

2022

Nusantara Science and Technology Proceedings

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One of the actual forms of state defense education is through outbound activities. In this context, education is interpreted as a process to humanize humans to become fully human adults. However, the world was shocked by the outbreak of a disease caused by a virus called corona or known as covid-19. Transmission through social contact between humans is difficult to predict and also cannot be avoided so its spread is also very rapid. Therefore, it is necessary to change the outbound state defense education method from conventional activities to offline activities based on the web and automatically computed. The system will replace the conventional process of supervising outbound activities where activities that are usually carried out in groups and simultaneously, will be carried out independently by sending evidence of activities that have been recorded through document files or videos. The results of this study are the Outbound State Defense Group Randomization Information System (SIOBEL) using the Linear Congruent Method (LCM) which helps in creating random groups of students and with the Graph Query Language (Graph-QL) system architecture which can facilitate interface and system developers to exchange data.

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Rancang Bangun Aplikasi Dengan Linear Congruent Method (LCM) Sebagai Pengacakan Soal

Cited by 8 publications

References 0 publications

Aplikasi Pendeteksi Penyakit Pada Daun Tanaman Apel Dengan Metode Convolutional Neural Network

Aplikasi Pendeteksi Penyakit Pada Daun Tanaman Apel Dengan Metode Convolutional Neural Network

Implementasi Metode Linear Congruent Methode (Lcm) Pada Aplikasi Pembelajaran Ipa Berbasis Android

Information System Web Based for Group Randomization of State Defense Education Class using Linear Congruential Method

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