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INDONESIA
Jurnal Sistem Komputer
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 6, No 1 (2016)" : 7 Documents clear
TIMESTAMP LINKING SCHEME DENGAN HASHED MESSAGE AUTHENTICATION CODE PADA MANAJEMEN PENGELOLAAN NASKAH DI PENERBIT Adiwijaya, Nelly Oktavia
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.93

Abstract

Penelitian 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.
THE IMPACT OF SOCIAL MEDIA ON STUDENT LEARNING CASE STUDY: SMA YAPITA SURABAYA Isnaini, Ulvi Rahma
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.99

Abstract

Nowadays student and teacher in Indonesia have a massive use of smart phones, tablet and other portable device. All these smart phones and other portable devices are equipped or ready for social media applications like Facebook, Twitter, YouTube, WhatsApp, and Instagram which are part of what is known as Social Media. Social media is a popular method for communication amongst students in Indonesia. However excessive social media use can raise questions about whether academic performance is affected. This paper aims to investigate the use of social media in teaching and learning as a scaffolding tool, and the impact of that on teachers and students with case study SMA Yapita Surabaya. The study implemented a 30-item questionnaire aimed to investigate student’s views in smart devices use and access, the current use of social website, the use of the web, views of the impact of social media on education, and views of possible impact of official use of social media on learning. It’s apparently that smart phone is the best possible device to enhance the use of social media in education, where more than three quarters of students have smart phones. For the internet access, 79% of students have internet access on their smartphone, and only 32% of them who have internet access at home. In regards the social media application, it is clear that Facebook as a main tool, with 89% of the student use this application. At the end, this research concludes that the teacher and the students need a series of training session to evaluate their own use of social media, and to enhance their abilities to use available properties.
PENGEMBANGAN LEARNING CHARACTERISTIC RULE PADA ALGORITMA DATA MINING ATTRIBUTE ORIENTED INDUCTION Wibowo, Adi; Warnars, Spits
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.104

Abstract

This paper shows the improvement of current characteristic rule learning in Attribute Oriented Induction (AOI) data mining technique. The proposed algorithm was applied with improvement upon current algorithm with 3 steps where the first step is elimination for checking condition if there is no higher level concept in concept hierarchy for attribute. The second step is elimination of attribute removal if fulfill for checking condition if there is no higher level concept. The third step is elimination of attributes in input dataset which no higher level concept in concept hierarchy. The development of these data mining algorithm applied Knowledge Data Discovery (KDD) methodology which consist 7 steps. Current and proposed AOI characteristic rule learning were implemented with server programming such as PHP Hypertext Preprocessor (PHP) and using 4 input datasets such as adult, breast cancer, census and IPUMS from University of California, Irvine (UCI) machine learning repository. The experiments showed that proposed AOI characteristic rule are better than current AOI characteristic rule, where experiments upon adult, breast cancer, census, IPUMS datasets have average 11, 3.8, 7.2, 7.2 respectively times better performance. The experiments were carried on AMD A10-7300(1.90 GHz) processor with 8.00 GB RAM
IDENTIFIKASI RETINA MATA MENGGUNAKAN JARAK EUCLIDEAN DENGAN PENCIRIAN MATRIKS KOOKURENSI ARAS KEABUAN (GRAY LEVEL CO-OCCURRENCE MATRIX-GLCM) Widiasmoro, Andi; Isnanto, R Rizal; Suseno, Jatmiko Endro
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.105

Abstract

Retinal 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.
APLIKASI PENCARIAN RUMAH MAKAN BERBASIS GPS PADA PERANGKAT MOBILE ANDROID Layona, Rita; Yulianto, Budi
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.106

Abstract

Tujuan Penelitian ini adalah merancang sebuah aplikasi untuk membantu pengguna melakukan pencarian rumah makan menggunakan GPS pada perangkat mobile android dan menghasilkan sebuah website yang digunakan untuk proses input, edit, delete seluruh informasi yang diperlukan aplikasi android kedalam database server. Metode Penelitian yang digunakan adalah metode waterfall dengan membangun aplikasi secara sistematis dan sekuensial, studi pustaka melalui buku - buku, serta metode analisa dengan observasi hasil perancangan aplikasi terdahulu. Metode perancangan sistem menggunakan UML yang terdiri dari Use Cases Diagram, State Diagram, Sequence Diagram, dan Class Diagram yang setelahnya digunakan untuk proses perancangan basis data menggunakan ERD. Hasil yang dicapai berupa sebuah aplikasi pencarian rumah makan dengan nama Nomnomfood, menggunakan GPS pada perangkat mobile android yang dapat memberi kemudahan bagi pengguna android untuk menentukan tempat makan yang diinginkan dan sebuah website untuk pemilik rumah makan memasukkan tempat makan kedalam database. Simpulan yang didapat bahwa aplikasi nomnomfood yang dibuat dapat mencari, menyaring, mempermudah pengguna perangkat mobile android dalam mencari rumah makan sesuai dengan kriteria yang diinginkan pengguna.
PERANCANGAN APLIKASI PENCARIAN LAYANAN KESEHATAN BERBASIS HTML 5 GEOLOCATION Purnomo, Hindriyanto Dwi
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.108

Abstract

Kesehatan merupakan kebutuhan primer bagi manusia dan layanan kesehatan masyarakat merupakan suatu elemen penting dalam kehidupan. Di suatu daerah, umumnya terdapat berbagai jenis layanan kesehatan, sehingga informasi tentang jenis, lokasi dan jam operasional suatu layanan kesehatan sangat penting bagi masyarakat.  Dalam penelitian ini dirancang sebuah system informasi layanan kesehatan di kota Salatiga menggunakan HTML 5 berbasis Geolocation. Jarak layanan kesehatan dengan lokasi pengguna dihitung menggunakan metode Haversine dan Euclidian. Hasil eksperiment menunjukkan bahwa akurasi jarak yang dihasilkan menggunakan metode Haversine lebih baik daripada menggunakan merode Euclidian, akan tetapi waktu yang diperlukan lebih lama daripada metode euclidian
PENDEKATAN MODEL ANALITIS UNTUK BROADCAST PADA JARINGAN VANET Prasetijo, Agung Budi
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.111

Abstract

The broadcast storm problem in VANETs can be addressed by the use of single-hop and/or two-hop information in VANET’s broadcast decision. Most studies had been obtained from experiment and only few of them were from analytical analysis. This study attempts to approach analytically the one-hop information based broadcast. A combination of multiple broadcast schemes can also be analytically derived from the individual analysis. However, one must take a great care of using both speed and vehicular density at once, as analytically, the speed is linearly related to the vehicular density.

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