cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Zulkarnain
Contact Email
zulkarnain@kreatindo.ac.id
Phone
+6285217776619
Journal Mail Official
scientico.untad@gmail.com
Editorial Address
Jl. Soekarno Hatta KM.9, Tondo, Mantikulore, Kota Palu, Sulawesi Tengah - 94148.
Location
Kota palu,
Sulawesi tengah
INDONESIA
ScientiCO : Computer Science and Informatics Journal
Published by Universitas Tadulako
ISSN : -     EISSN : 26204118     DOI : http://jurnal.untad.ac.id/jurnal/index.php/scienti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering
Scientico was formed in 2018 as online journal publication under the auspices of the Untad engineering faculty. ScientiCO accepts original manuscripts in the field of Computer Science and Informatics, including research reports, review articles, and short communication articles. The spread of Computer Science and Informatics fields include, but not limited to: Artificial Intelligence Computer Graphics and Animation Image Processing Cryptography Computer Network & Security Modelling and Simulation Information Retrieval Information Filtering Multimedia Bioinformatics and Telemedicine Computer Vision and Robotics Parallel and Distributed Computing Operating System Information System Game Development Numerical Methods Mobile Computing Natural Language Processing Data Mining Cognitive System Digital Speech Processing Machine Learning Expert System Geographical Information System Computing Theory
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol 2, No 1 (2019): Scientico : April" : 5 Documents clear
PENERAPAN AJAX DAN WEB SERVICE PADA SISTEM TUTORIAL PEMROGRAMAN WEB Ikrimach, Ikrimach
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak. Kemajuan teknologi informasi yang semakin luas serta adanya tuntutan akan kebutuhan data yang diperlukan oleh user menyebabkan informasi harus disajikan dengan cepat dan objektif untuk memenuhi kebutuhan informasi yang diperlukan. Masalah yang dihadapi pada penyajian materi yang berupa script pemrograman saat ini adalah sistem penyajian informasi yang statis, hal ini membuat proses belajar kurang efisien. Untuk mendapatkan performa yang baik dalam proses belajar, maka dibutuhkan sebuah sistem tutorial yang mampu mengeksekusi script pemrograman secara interaktif. Untuk mengeksekusi perintah dengan baik, diperlukan traffic data yang berukuran kecil sehingga server dapat bekerja dengan lebih leluasa dan dapat merespon request yang lebih cepat. Sistem tutorial ini dikembangkan dengan bahasa pemrograman ajax dan metode web service guna mendapat performa pemrosesan yang lebih baik. Sistem tutorial pemrograman web yang dikembangkan menyediakan contoh script atau kode pemrograman web yang dilengkapi dengan deskripsi atau penjelasan. Selain itu, sistem ini juga memiliki kemampuan untuk mengeksekusi contoh program yang disajikan guna mendapatkan hasil outputnya. Dari hasil penelitian menunjukkan bahwa pemanfaatan tutorial pemrograman web sebagai model sistem penunjang pendidikan yang lebih cepat, efektif dan praktis karena dapat digunakan oleh siapa saja, dimana saja dan kapan saja.
SISTEM PENJADWALAN PERKULIAHAN MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION PADA JURUSAN TEKNOLOGI INFORMASI FAKULTAS TEKNIK UNIVERSITAS TADULAKO Nugraha, Deny Wiria; Dodu, A. Y. Erwin; Paloloang, Muhammad Fairus B.
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Scheduling lectures is a very important activity to do because all teaching and learning activities depend on the schedule so that it must be done correctly in order not to interfere the teaching and learning activities between lecturers and students. This study aims to implement the Particle Swarm Optimization algorithm to create a scheduling system for the lectures at the Information Technology Department, Faculty of Engineering, Tadulako University which can facilitate the scheduling process of the lectures and can produce optimal schedules. The scheduling system made will follow the rules and policies which are applied at Tadulako University. The Particle Swarm Optimization algorithm can be used for scheduling system for the lectures at the Information Technology Department, Faculty of Engineering, Tadulako University, although it cannot yet produce an optimal solution because there are still soft constraints that are violated. The best combination of parameter values in the Particle Swarm Optimization algorithm, namely the parameter value w = 0.7, c1 = 1.5, c2 = 1.5 with a successful schedule made with a fitness value of 0.034 with execution time (214).
ANALISIS SENTIMEN CALON PRESIDEN DAN WAKIL PRESIDEN PERIODE 2019-2024 PASCA DEBAT PILPRES DI TWITTER Ardiansyah, Rizka
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social networking sites, such as Twitter and Facebook are one of the important spaces for political engagement. Twitter or Facebook have become common elements in political campaigns and elections, especially for Indonesia’s presidential election 2019. for the period 2019 - 2024 there are two presidential and vice presidential candidates namely Ir. H. Joko Widodo - Prof. Dr. K.H. Ma'ruf Amin and Lieutenant General (Ret.) H. Prabowo Subianto - H. Sandiaga Uno. B.B.A., M.B.A. the two candidates who ran for the election triggered a lot of related public opinion where the most suitable candidate to become the president of the next period. Public opinion is generally one of the determining factors for presidential candidates who will later win the election. Presidential candidate debate is the efforts of the election commission to facilitate the presidential candidates to introduce their work programs to the public while building public opinion that they are the right people to become leaders of the next period. Although of course, this is not the only major factor that shapes public opinion. The purpose of this study is to summarize the opinions of the people voiced through social media related to the election of candidates for the Indonesian President and Vice President for the period 2019-2024 post debate on the presidential election. While the benefit is to help the community so that they can understand in a broader context such as what the public opinion about presidential candidates, especially on social media Twitter. The results of this study were presidential candidate Joko Widodo - Makruf Amin obtained a 25% positive sentiment, 4.5% negative sentiment and 70.5% neutral sentiment. while the Prabowo Subianto - Sandiaga Uno pair received a 5.1% positive sentiment, 2.5% negative sentiment and 92.4% neutral sentiment.
ANALISIS EVOLUSI EKOSISTEM PERANGKAT LUNAK OPEN SOURCE : TINJAUAN PUSTAKA SISTEMATIS Angreni, Dwi Shinta; Prastyaningsih, Yunita
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of an Open Source Software (OSS) can influence the development of other Open Source Systems. The relationship between OSS is often called an ecosystem, there are several aspects to the OSS ecosystem that can affect ecosystem evolution in the software. This study reports a systematic literature review on the influence of several aspects of the OSS ecosystem on the evolution of OSS. The Sistematic Literature Review method based on Kitchenham was used to analyze 1099 articles published in leading journals and conferences. The Results showed that Social aspects have a significant impact on ecosystem evolution, where communication between communities in an OSS ecosystem influences aspects of contributions and dependencies that encourage an ecosystem to develop and evolve.
PENGGUNAAN MODEL HIDDEN MARKOV DAN METODE NEURAL NETWORK SEBAGAI PENERAPAN TEKNOLOGI PENGENALAN WAJAH Hendrawan, Aria; Pramono, Basworo Ardi; Adhiwibowo, Whisnumurti
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The human face recognition system is one of the fields that is quite developed at this time, where applications can be applied in the field of security (security system) such as permission to access room, surveillance (surveillance), as well as the search for individual identities in the police database. The face recognition approach aims to detect faces in 2-dimensional images and sequential images of videos that have many methods such as local, global, and hybrid approaches.  Hidden Model Markov (HMM) is another promising method that works well for images with different lighting variations, facial expressions, and orientations. HMM is a set of statistical models used to characterize signal properties. An artificial neural network-based approach is learned from image examples and relies on techniques from machine learning to find relevant facial image characteristics. The characteristics studied were in the form of discriminant functions (ie non-linear decision surfaces), then used for face recognition. In this study there will be an application to compare Hidden Markov Models and Neural Network Method as a Face Recognition Technology Algorithm Model.  

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol 4, No 2 (2021): Scientico : November Vol 4, No 1 (2021): Scientico : April Vol 3, No 2 (2020): Scientico : November Vol 3, No 1 (2020): Scientico : April Vol 2, No 2 (2019): Scientico : November Vol 2, No 1 (2019): Scientico : April Vol 1, No 2 (2018): Scientico : November Vol 1, No 1 (2018): Scientico : April