Jurnal Sistem Komputer - JSK (Department of Computer System Engineering, Diponegoro University, Indonesia)
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108 research outputs found
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SIMULASI DAN UJI KINERJA ALGORITMA JOHNSON UNTUK PENENTUAN RUTE TERBAIK PADA JARINGAN SOFTWARE DEFINED NETWORK
Full text linkSince the development of computer network technology is larger and more complex, computer network technology which is more flexible and easier to configure is now required. SDN (Software Defined Network) is one of the solutions for the computer network requirement which is now larger and more complex. SDN offers the network concept which is different from the traditional network. In the traditional network, control plane and data plane are in one device; it is different from the concept offered by SDN in which control plane and data plane are designed separately on SDN. SDN concept has simplified the existing network concept since the network control on a controller is programmable and it makes the network easy to configure and more flexible. In this research, the researcher applied the routing service using the shortest path-searching method of Johnson algorithm on SDN network and analyzed the network performance. The implementation of Johnson algorithm was used on the network created on mininet emulator. The OpenFlow protocol will be used on this network. The result of performance test on SDN network in which the routing service has been applied with Johnson algorithm shows that the larger the network, the more time required for convergence; routing is flexible since it can adapt to the change on network
APLIKASI MOBILE KARTU MENUJU SEHAT (M-KMS)
Full text linkSatu hal yang sederhana tetapi sering dilupakan oleh para ibu dan kader kesehatan adalah Kartu Menuju Sehat (KMS), yang merupakan kartu yang memuat kurva pertumbuhan normal anak berdasarkan indeks antropometri berat badan menurut umur. KMS seringkali tidak dimanfaatkan oleh ibu balita karena seringkali KMS disimpan pada kader dengan alasan takut hilang. Pemahaman para ibu terhadap grafik pertambahan berat badan ini penting agar ibu bisa melakukan tindakan sedini mungkin jika pertumbuhan anak tidak sesuai dengan usianya. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi mobile Kartu Menuju Sehat (M-KMS) berbasis Android untuk orang tua balita agar dapat memantau riwayat kesehatan balita. Pengembangan aplikasi dilakukan menggunakan bahasa C# dan framework Xamarin. Hasil penelitian ini adalah sebuah aplikasi menyimpan riwayat kesehatan balita pada perangkat bergerak berbasis android
Sistem Analisis Tekstur Secara Statistik Orde Pertama Untuk Mengenali Jenis Telur Ayam Biasa Dan Telur Ayam Omega-3
Full text linkVisually to distinguish ordinary chicken eggs and chicken eggs with omega-3 is very difficult because the physical shape and color of the eggs look the same. From the price, chicken eggs with omega-3 is more expensive than the ordinary eggs. This aim of the research is to create an analyst system which is able to recognize type of eggs based on the texture with several steps in image processing techniques. Several image processing techniques used namely conversion of the RGB image to gray scale, remove noise with a gaussian filter, segmentation using thresholding method, and analysis with first-order statistical method that are extracted from each image of eggs. Results of the research showed that the ordinary chicken eggs and chicken eggs with omega - 3 have different statistical value
Web Content Mining Menggunakan Partitional Clustering K-Means Pada News Aggregator
Full text linkNews aggregator is one type of aggregator system (collector) which collects news from various sources, and then presented back to the user in a single entity so that users no longer need to venture out to various news sites for just looking for information. The system requires a news aggregator a way to show the same news information from the websites of news services. Based on that, this paper used Web Content Mining (WCM) for information retrieval news from online news sites and partitional K-Means clustering system for processing news aggregator in objective the system to display collection of information based on keyword input from the user. From the test results using confusion matrix methods with a number of documents as many as 132 documents were taken from crawling indicate that the method partitional clustering K-Means can be applied to a system news aggregator for classifying news information with keyword "education" with an average accuracy of the classification of 98%.
Perancangan Perangkat Elektronik Media Pembelajaran Iqra dalam Kode Braille
Full text linkIqra Learning is the first step in studying al-Qur’an, because al-Qur’an is a way of life for Muslims, no exception blind people. Limitations of learning device of al-Qur’an for the blind becomes an obstacle for the blind to learn Qur'an. This research describes the design of electronic learning device of Iqra Braille for blind people. This system consists of a computer that serves as an interface to manage Iqra braille to be read by the blind people, the mikrokontroler ATMega328P-PU which serves as a data processor of a computing device that can be translated in the braille code, and Braille Display devices which serves to show Braille codes from the data Iqra. Communication between computer and mikrokontroler used Bluetooth media. The results show that the system that has been made to run well. Braille Iqra data which entered by teachers can be displayed on a Braille Display
PENGEMBANGAN SISTEM PENJADWALAN KULIAH MENGGUNAKAN ALGORITMA STEEPEST ASCENT HILL CLIMBING
Full text linkUniversity of Technology Yogyakarta is a private university in Yogyakarta, it has several purposes, one of them is utilizing the maximum potential of technology to improve the effectiveness and efficiency of learning and dissemination of science and technology. One of the factors that can improve academic services are scheduling courses. Scheduling proses isn’t easy because they have to consider the possibility in scheduling, include subjects, times, lecturers, and lecture halls. Now, subject scheduling is still using Ms. Excel, the process is to input lecturer’s name one by one, to teach to the prescribed schedule and also to check whether the data is conflicting or not, so it takes long time. Therefore, we need a system that is able to perform scheduling more quickly, effectively and optimally. Subject scheduling system can be done by using the optimization system. For the case of optimization can be done using the steepest ascent hill climbing algorithm. Steepest ascent hill climbing algorithm is a search algorithm (heuristic), it is able to solve the problems of optimization with estimates to be produced in accordance with the desired criteria or rules. Subject scheduling process produces a schedule that takes less time compared to a system that is currently running. Although it is able to minimize the level of clashing schedules, its application needs to be re-checked on the level of conflicting schedules
Pengembangan Multimedia 3 Dimensi Sebagai Sarana Pembelajaran
Full text linkThe rapid development of technology makes computer and gadget change into devices used to solve almost all of people activities. The use of multimedia as a learning tools is getting more popular as the development of technology. Nowadays, every people has computer and gadget, we can see people always holding gadget everywhere. One type of multimedia is a game. Game is a set of rules that have a goal which purpose is to make its user having fun. Game has positive and negative influence for it user. People love to play game. By this habit, we can use game as multimedia to be a learning tool to make positive use of computer and gadget. Multimedia as a learning tool can be built using 3D based model to gain the interest of its learner. This research shows the process of developing 3D multimedia as a learning tool by using Blender and Unity 3D
TIMESTAMP LINKING SCHEME DENGAN HASHED MESSAGE AUTHENTICATION CODE PADA MANAJEMEN PENGELOLAAN NASKAH DI PENERBIT
Full text linkPenelitian ini membahas tentang manajemen pengelolaan naskah dengan sistem pewaktuan timestamp linking scheme menggunakan hashed message authentication code sebagai fungsi hash yang dipakai. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Pengelolaan Naskah yang dapat digunakan oleh redaksi maupun pengarang dan membuat alur pengelolaan yang dapat memastikan tahap penerbitan yang benar-benar dilakukan oleh pengguna pada waktu yang sebenarnya. Timestamp Linking Scheme merupakan salah satu metode pewaktuan dalam pengelolaan guna membantu dalam pencatatan aktivitasnya agar memiliki keabsahan. Hashed Message Authentication Code merupakan salah satu metode untuk menghitung fungsi hash dengan mempertimbangkan kunci sebelum dienkripsi. Studi kasus yang diambil adalah pada Penerbit Indie Pustaka Jingga. Pembuatan timestamp menggunakan beberapa kombinasi atribut seperti pesan aktivitas pengelolaan asli, pesan aktivitas yang dienkripsi, waktu, ID, posisi tahap, dan link timestamp pada tahap sebelumnya. Sistem Pengelolaan Naskah yang dibangun berhasil memverifikasi keabsahan aktivitas pengelolaan naskah dengan membandingkan link pada tahap sekarang cocok dengan tanda tangan digital yang ada pada tahap berikutnya.Kata kunci: Timestamp linking scheme, hashed message authentication code, pengelolaan naskah
IDENTIFIKASI RETINA MATA MENGGUNAKAN JARAK EUCLIDEAN DENGAN PENCIRIAN MATRIKS KOOKURENSI ARAS KEABUAN (GRAY LEVEL CO-OCCURRENCE MATRIX-GLCM)
Full text linkRetinal vascular pattern is very unique and has very good pattern differences between one individual and the others, so it can be argued that retinal image can be one of the best in the world of biometrics. This research create a system that can recognize retinal images using Gray Level Co-occurrence Matrix (GLCM) feature extraction technique and normalized Euclidean distance measurement techniques, which the image of the sample used was a normal retinal image of Messidor dataset. Based on testing of GLCM parameters (Angular Second Moment, Contrast, Entropy, and Inverse Difference Moment), distance, angle, and the number of images in the database, the largest accuracy of retinal image recognition is equal to 85% at the time of testing by using 45° angle, distance of 5 pixels, and an image in the database