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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 77 Documents

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Planning Of Solar Power Plant With On-Grid System At The Fourth Building University Of PGRI Semarang Kusmantoro, Adhi
IJCONSIST JOURNALS Vol 1 No 2 (2020): March
Publisher : International Journal of Computer, Network Security and Information System

The on-grid system is a system that is used by PLTS directly connected to an existing electricity grid (PLN). Therefore, the on-grid system does not use a battery storage system or supercapacitor. By using this on-grid system, the community has helped the government in reducing PLN's electricity burden. The main objective in this study was to plan an on-grid system using photovoltaics in the four buildings of the University of PGRI Semarang. The research method carried out in the study was collecting data as supporting research including hourly electric load identification data and on-grid system inverter and photovoltaic specifications used, determining the amount of power to be generated in the on-grid system, calculating the number of solar panels will be used, determine the arrangement of solar panels. Based on the load data of Building four, it can be planned to have a capacity of 200 Wp solarland monocrystaline solar panels 166 units of PV modules. In the installation of PV modules there are connected in series or parallel and depending on the size of the on-grid inverter input voltage used. Based on the Sunny Tripower 60 inverter specifications, the inverter input voltage is 685 V to 800 V DC. Based on the calculation of the PV area, a value of 254.19 m2 was obtained. If the strings are arranged then the total power generated by the PV area is 33.15 KWP. The choice of location is based on the consideration that the solar panel faces north with a slope angle of 17.45⁰ and is close to the building installation room.

Profile Matching Based Business Incubator Tenant Acceptance System Sugiarto; Pratama Wirya Atmaja
IJCONSIST JOURNALS Vol 1 No 2 (2020): March
Publisher : International Journal of Computer, Network Security and Information System

Abstract — Business incubator is an institution that is currently more needed to improve all types of entrepreneurs and startups. Tenant is the name of the fostered partners in the Business Incubator, the performance of the Business Incubator is improved, so the tenants who enter the registration in the Business Incubator also increase. The criteria to be a tenant has many variables, so it takes a long time during the calculation process, with the matching profile that can be customized with several variables needed in this business incubator, it becomes a shorter process and provides a recommendation value for the business incubator director in deciding whether the tenant is accepted or rejected. In table 2 in this paper it is explained that the validity test value of the tenant registration information system using the profile matching algorithm gets values above 0.6 of 1, so that the matching profile matching with the case study registration can be applied to the determination of technopark business incubator fostered tenants. Keywords — profile matching, business incubator, validity test;

Student Activities Proposal Evaluation System Planning Using Barcode Scanner Technology Rizqi Chandra Pramana
IJCONSIST JOURNALS Vol 1 No 2 (2020): March
Publisher : International Journal of Computer, Network Security and Information System

Student Creativity Program (PKM) is an activity formed by Ministry of Research and Technology of the Republic of Indonesia. This activity was formed to facilitate the various potentials possessed by students to apply and develop the knowledge gained in lectures to the wider community. PKM Center is the agency that manages student creativity program proposals in Universitas Pembangunan Nasional “Veteran” Jawa Timur enviroment. However, the management of student proposal data carried out by the PKM Center is still done manually. So it is difficult to evaluate the history of student proposals. Because of these problems, information systems need to be developed to ensure that these problems can be resolved. So that the management of student proposal data can be carried out properly. Making a student proposal evaluation system has several stages that are carried out, such as a literature study to get a reference to the features used in the proposal evaluation system. After that, it is continued with business process design to application design. Barcode scanners as supporting technology are used in the system to improve data accuracy. The final result of this research is a web-based system for evaluating proposals that have been submitted by the proposing students, so that the proposal data can be used by the center in determining which proposals can qualify for the next stage.

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 and Building of Android Based Room Facility Lending Application Dicky Giancini
IJCONSIST JOURNALS Vol 1 No 2 (2020): March
Publisher : International Journal of Computer, Network Security and Information System

Android is a platform that is currently used by many users, so that almost every application created uses the Android platform because it is easy to use and also effective. The Faculty of Computer Science UPN "Veteran" East Java has 2 buildings and lots of rooms and other facilities such as laboratories, seminar rooms, and there are loans for equipment that can help the course of events whether in lectures or non- academics. Until now, the process of borrowing rooms and facilities at the Faculty of Computer Science is still done manually, such as using letters and several other processes. This also causes waste of paper and time because it is not necessarily the space or equipment that will be borrowed first by someone else. The purpose of designing and building a room facility loan application is to improve or optimize TU (Administration) services to room borrowers. The research methodology was carried out by collecting data such as interviews, literature study, observation and system design using the waterfall model. The results of this study are to facilitate services, be comfortable and safe in borrowing space.

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.

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Contact Name
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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