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International Journal Of Computer, Network Security and Information System (IJCONSIST)

ijconsist
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Published by Universitas Pembangunan Nasional Veteran Jawa Timur

ISSN : - EISSN : 26863480 DOI : https://doi.org/10.33005/ijconsist.v3i1

Core Subject : Science,

Computer Science & IT

Focus and Scope The Journal covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High Performance Computing • Information storage, security, integrity, privacy and trust • Image and Speech Signal Processing • Knowledge Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data

Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer

Articles 7 Documents

Search results for , issue "Vol 2 No 1 (2020): September" : 7 Documents clear

Multiclass Classification with Imbalanced Class and Missing Data Pratama, Irfan; Putri Taqwa Prasetyaningrum
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

In any data mining field, the presence of a good shaped data is needed. Yet in the reality, the data condition is far from the expectation as there are possible to have missing values, redundant data, and inconsistent data. There are problems with the dataset to begin with before we overcome the problem of data mining process interpretation. In the raw data level, possible problem such as missing values and data redundancy or inconsistency can be solved by some certain process called preprocessing. On the preprocessing step, the raw dataset is adjusted to the needs of the whole process, one of the adjustments is to handle missing values. Missing values is a certain condition where the expected values of the data are not recorded. The other problems that happen in the real-world dataset especially in categorical data with label or class is the imbalance distribution of the instance for each class. The imbalanced class is a condition where the distribution of the class is skewed or biased. This study emphasizing on the problem solving of missing values and imbalanced class on the dataset. K-NN imputation is a missing value handling method of this study. As for the imbalanced class problem, this study utilizes SMOTE and ADASYN for the comparison. While the dataset will further be tested by various classification methods such as Decision tree, Random Forest, and Stacking. The original dataset produced bad score from the classification process due to the imbalanced data. Then the data undergoing an oversampling process using SMOTE and ADASYN methods in hope that the accuracy will be hugely better. Yet the reality is the accuracy score do not move to the expected number at all with only averaging in 32%-37% of accuracy score in any scheme of process.

The Relative Abundance Analysis of Microbial Community in the Baltic Sea Sari, Tria Puspa
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

The microbial community is important to control the sustainability of water ecosystems. The microbial community also has a negative impact on the environment. In particular, the toxin of Algae Bloom in the Baltic Sea which is harmful to the environment and humans. Several previous studies have tried various machine learning methods to analyze algae growth, but with limited achievement. The 167 samples were collected from 2012 to 2013 by the Linnaeus Marine Observatory at 11 km off the shore of Kårehamn in the Baltic Sea. Here we analyze the abundance of the microbial community using the Operational Taxonomic Units (OTUs) based on the normalization method after filtering samples. The aim to analyze the composition of the microbial community based on the past measurement of microbial composition. It is the pre-processing of data which is the step toward the prediction in the future. The result shows large different variations in each of OTUs in the fractions from the same sample. Many OTUs that are very abundant in one fraction but very rare in the other fraction. The Large difference abundance of OTU composition make a major challenge when predicting OTU composition in the future. Further quantification of normalization method is required in the pre-processing of data to get the proper data for prediction.

Design Of Air Pollution Monitoring Tools In Surabaya Area Based On Nodemcu Fajar Andhika Putra
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

According to data from the Central Bureau of Statistics in 2017, traffic density in Indonesia is dominated by motorbikes, with a total of 113,030,793 units, followed by private cars with 15,493,068 units, freight cars and buses. Apart from vehicles, the presence of motorized vehicles that keeps popping up has the potential to cause an increase in air pollution. This encourages to create an air pollution measuring device, where the data obtained from this tool will be sent to an application that can be used by the public. There have been many studies related to air pollution detection before. The system that is made relies on the MCU node as a data processing center. Then send data that has been captured by the sensor and processed by the MCU node using a WIFI signal. This study uses 3 sensors to detect air pollution, namely mq2 and mq9, both sensors are sensitive to gas leaks such as smoke, CO, and propane. There are 4 pins on this sensor, namely VCC, A0, D0, and ground. Of the four pins, only pin D0 will not be used because they want more accurate data. By using radio signals, this tool will be able to transmit pollution and vehicle density data directly to the monitoring center.

Southeast Asia Happiness Report in 2020 Using Exploratory Data Analysis Riyantoko, Prismahardi Aji
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

The happiness index to be one of part to presents that each country has indicator which affect each other. Many countries have a basic indicator to determine that happiness score, there are economy sector, social support, trust to the government, generosity, and measure life satisfactions. The indicator is presents in the dataset, it means need to explore, analysis, and visualization to give knowledge to the other people. Data science is one knowledge field to determine data. Exploratory data analysis (EDA) is part of data science process. In this works, we present happiness report in the Southeast Asia region using the dataset World Happiness Report 2020. The results, we describe and discuss the dataset using table with column and value or score, the other we using bar-plot, correlation bar-plot, bar-plot analysis, and map-plotting visualization. Output of EDA is only recommendation to next parts in the Data Science process, minimum has knowledge to reducing data, merge data, cleansing data, visualization data to be based of knowledge to build data modelling.

Business Intelligence for Educational Institution : A Literature Review Maulida Hindrayani, Kartika
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

Educational institution is one of the organizations that should manage data to improve decision making. Students, department, research, and community services, are the data that should be managed in education. Those data could help in accreditation, marketing, and operational process. Business Intelligence (BI) helps visualize a huge amount of data. Executives will easily understand what the data try to imply in graphics. In this research, literature review about BI in educational organization will be conducted.

An Introduction to Machine Learning Games and Its Application for Kids in Fun Project Fahrudin, Tresna Maulana
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

Industrial Revolution 4.0 is the right time to democratize artificial intelligence in the world. It can be started from education, the target is the level of elementary, middle and high school. But the general curriculum still around in natural science, social science and language science. The challenge is how to introduce artificial intelligence earlier to the student and how to combine its material with the curriculum. “Machine Learning for Kids” is a web-based application which kids can explore artificial intelligence, especially in machine learning field with a fun project. The application provided to create a new project like animal classification. Kids can add a new label, such as mammal, insect, amphibian, bird, fish and etc. They have to add the animal name as an example of training data into each label. After kids added the training data, they can create the machine learning model. The experiment showed the confidence of the machine learning model test with a member of example reached 100%, the label prediction of all example was accurate. While the confidence of machine learning model test with another member of example reached between 14-17%, the label prediction of all example was also accurate. We recommended “Machine Learning for Kids” is one of the best web-based application for kids to explorer machine learning easily.

QR-Barcode Application for Barrier Gate Opener based on Android Merdana, Okta
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

The use of Android-based smartphones is a personal assistant who is often a primary need in helping human activities. Based on this, this study uses Android to create a control device for access rights using QR-Code to open the barrier gate where the data will be added to the database server, and the system is called Q-BaGOS (QR-Code Based Barrier Gate Opening System). The design of this access system utilizes a QR-code scanner application that is made in-house and modified with coding to instruct Android as a medium to open a barrier gate containing a QR-code. In the application, there are menus such as login username and password, status and barcode data. If you already have user data, it can be used as an access right to unlock the barrier gate. In this case, to manage it all, a web server is built that will communicate with Arduino Uno to control the entire security system, by storing user access rights data, recording user data that performs scanners and entering the port. Barcode or barcode is a set of data that is described by lines and spacing (space). The working principle of this tool when opening a scanner application on Android, users are required to log in the username and password data first. After logging in, it automatically opens the QR-code scanner camera. After the scan process automatically enters the data on the web database server, then the servo door automatically opens. After the user enters, the ultrasonic sensor works, and the barrier gate is automatically closed again

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ijconsist@upnjatim.ac.id

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Location
Kota surabaya,

Jawa timur

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email ijconsist@upnjatim.ac.id

Phone +6281999471017

Journal Mail Official ijconsist@upnjatim.ac.id

Editorial Address https://ijconsist.org/index.php/ijconsist/about/editorialTeam

Location Kota surabaya, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
ijconsist@upnjatim.ac.id

Phone
+6281999471017

Journal Mail Official
ijconsist@upnjatim.ac.id

Editorial Address
https://ijconsist.org/index.php/ijconsist/about/editorialTeam

Location
Kota surabaya,

Jawa timur

INDONESIA