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International Journal Of Computer, Network Security and Information System (IJCONSIST)
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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E-Commerce Website System Security Improvement Strategy Using AHP and FAHP Methods Dhiya' Ulhaq Ahmad Ramsi; Moh. Azzam Priyanto; Farras Hafizh Zidane; Mochammad Yusuf Pratama; Eristya Maya Safitri
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.83

Abstract

Security of e-commerce websites becomes one ofthe factors to develop e-commerce services. A secure e-commercewebsite can protect the personal information and transactionaldata of the user. However, in its everyday use, there is someproblem that appears related to security. The purpose of thiswriting is to establish a security strategy for an e-commercewebsite based on the result of AHP and FAHP measuring. Theresearch method used in this writing is Analytic HierarchyProcess (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) totake a decision. AHP is used as a tool to analyze decision-makingthat comes close to a real-life situation and is used a lot in variousfields, like evaluation, assessment, forecasting, and others.Meanwhile, fuzzy logic is used for a vague variable. The results ofthe research that has been done are that several e-commercewebsites get low scores on system security measurements usingthe AHP and FAHP measurement methods. Therefore a strategyis needed to increase the security of the e-commerce websitesystem so that users' personal information can be properlymaintained. Keywords—E-Commerce; AHP; FAHP; Security
Analysis and Design of the Mentor On-Demand Service Interface Using the Design Thinking Method Khalid Rijaluddin; Eristya Maya Safitri
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.84

Abstract

Skilvul is a technology education platform that provides digital skills learning content by applying blended learning methods in online and offline forms. The skilled platform will develop a feature, namely mentor on demand, where the mentee can provide guidance and solve problems faced by being accompanied by a mentor privately. In general, online learning is carried out concurrently so the large ratio of mentors to students in a virtual class causes limited mentor communication with each student. This makes students feel that they are not fully guided by mentors because of the large number of students in one virtual class. The interface design process for the mentor-on-demand feature uses the design thinking method. This method has 5 stages, namely empathize, define, ideate, prototype, and testing. Testing is carried out on prototypes that have been generated using the SEQ metric. The average value of SEQ is at number 6 on a scale of 1 to 7. This can be interpreted that the prototype made can be easily understood by users so that problems related to online learning can be resolved
Document Management Application Design At Pt X Renanda Auzan Firdaus; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.89

Abstract

Documents are one of the most important assets for the sustainability of a company. However, to manage documents properly, it is necessary to have a system that can assist in managing documents related to the company. PT X feels the need to have an application that can help manage company documents effectively and efficiently. Therefore, PT X decided to design a document management application. This application is designed to assist in managing documents related to the company. In addition, this application will also assist in the process of borrowing company documents.This document management application will consist of several main features, including document management features, user data management features, document loan management features, and reporting features. The document management feature will help you manage company documents in an organized and structured manner, making it easier to find the documents you need.After carrying out the design and build of this document management application, it is expected that PT X can be more effective and efficient in managing company documents. Thus, PT X will be able to improve the performance and productivity of its employees, as well as make it easier to manage the documents it has.
Sentiment Analysis of Gobis Suroboyo Bus Application Feature Using Support Vector Machinery (SVM) Algorithm Avia Arista
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.96

Abstract

Congestion is something that often occurs in several big cities in Indonesia. According to a report from INRIX, a company that conducts data analysis and provides traffic data, in 2021 the city of Surabaya is listed as the 41st most congested city in the world, with a total wasted time of 62 hours in one year. This is of course very detrimental from various aspects, because of this the Surabaya Transportation Agency developed an application called GOBIS Suroboyo Bus to support digitizing the use of Surobyo Bus to break up traffic jams. The purpose of this study is to analyze public sentiment that has used the features in the GOBIS Suroboyo Bus application by using the application comment column on the Google Playstore to obtain data. The method used in this study is Complement Naïve Bayes which produces an accuracy value of 76.00% and Support Vector Machines which obtains an accuracy value of 73.00%.
Acceptance Analysis of BRI Mobile Banking (BRIMO) using The Technology Acceptance Model (Study Case: Student at UPN Veteran Jawa Timur) Al Ma'ruf, Achmad Yusuf; Erista Maya Safitri; M. Novianto Anggoro; Firman Perdana
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.99

Abstract

BRIMO mobile service ranks first in the number of transactions. However, in its use, there are still many obstacles experienced by users. This study aims to determine the level of user acceptance of BRIMO using the Technology Acceptance Model (TAM) approach. This study used the TAM framework: perceived usefulness, perceived ease of use, attitude to use, behavioral intention, behavior, and experience. The study was conducted on users of the BRIMO application by UPN Veterans East Java students using a purposive non-probability sampling technique, obtaining 100 respondents. The data type used is primary data obtained directly from respondents. Methods of data collection using a questionnaire. Methods of data analysis using the Partial Least Square (PLS) statistical test approach and Bootstrapping. The results showed that Perceived Ease Of Use affected perceived usefulness. , Perceived Usefulness influences Behavior, Experience Affects Perceived Ease of Use, and Experience Affects Perceived Usefulness. The implications of the results of this study are input for banks to continue to improve mobile banking services in order to increase the number of mobile banking application users
Satellite Image Super Resolution using Gradient-Prior Junaidi, Achmad
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.107

Abstract

Super-resolution (SR) has been used in the realm of remote sensing to improve the resolution of an image and get more detailed spatial information than the original image captured by the sensor on the acquisition device. Several SR methods with different approaches, only focusing on sharpening the edges and forgetting non-edge areas. One of the SR methods that utilize prior gradients, can produce high resolution (HR) images in a short time and produce sharp images for non-homogeneous areas. But for areas that tend to be homogeneous, a lot of noise appears. This problem will affect the remote sensing process due to the amount of noise that arises. This paper offers to use dynamic weighting on the gradient prior that will reduce the noise on the homogeneous area, while still able to maintains to produce the sharp edges in non-homogeneous areas. An experimental comparison is conducted on both homogeneous and non-homogeneous area using the previous method and the proposed method.
Hybrid Machine Learning to Evaluate the Incidence of Toddler Stunting through Integration of Multi-source Satellite Imagery and Official Statistics in East Nusa Tenggara Province Suhendra Widi Prayoga; Setia Pramana
IJCONSIST JOURNALS Vol 6 No 1 (2024): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i1.112

Abstract

Stunting is a serious health problem that impacts the quality of life of children under five. In 2023, East Nusa Tenggara recorded the second highest prevalence of stunting in Indonesia, influenced by health, socio-economic and environmental factors. In terms of the environment, remote sensing technology can be utilised to monitor environmental factors that contribute to stunting, such as vegetation conditions, access to clean water, and soil conditions. This study aims to evaluate the incidence of stunting among children under five using a hybrid machine learning approach, combining predictive modeling and cluster analysis. The results indicate thStunting is a serious health problem that impacts the quality of life of children under five. In 2023, East Nusa Tenggara recorded the second highest prevalence of stunting in Indonesia, influenced by health, socio-economic and environmental factors. In terms of the environment, remote sensing technology can be utilised to monitor environmental factors that contribute to stunting, such as vegetation conditions, access to clean water, and soil conditions. This study aims to evaluate the incidence of stunting among children under five using a hybrid machine learning approach, combining predictive modeling and cluster analysis. The results indicate that eXtreme Gradient Boosting Regressor (XGBR) is the best model for estimating stunting prevalence, with a Root Mean Squared Error (RMSE) of 3.2076 and an value of 0.7223. Meanwhile, for clustering results, K-Means Clustering is identified as the most effective method for grouping districts/cities based on socioeconomic and environmental factors. The clustering process produced two groups, such as vulnerable (Cluster 1) and highly vulnerable (Cluster 2), with connectivity, Dunn Index, and silhouette coefficient values of 29.290, 0.6931, and 0.4509, respectively. These findings are expected to serve as a basis for policymakers in formulating targeted interventions to reduce stunting rates, particularly in highly vulnerable areas. at eXtreme Gradient Boosting Regressor (XGBR) is the best model for estimating stunting prevalence, with a Root Mean Squared Error (RMSE) of 3.2076 and an value of 0.7223. Meanwhile, for clustering results, K-Means Clustering is identified as the most effective method for grouping districts/cities based on socioeconomic and environmental factors. The clustering process produced two groups, such as vulnerable (Cluster 1) and highly vulnerable (Cluster 2), with connectivity, Dunn Index, and silhouette coefficient values of 29.290, 0.6931, and 0.4509, respectively. These findings are expected to serve as a basis for policymakers in formulating targeted interventions to reduce stunting rates, particularly in highly vulnerable areas.
Sentiment Analysis of Presidential and Vice Presidential Candidates Using FastText CNN Zulkarnaen, Fahri Izzuddin; Puspita Sari, Anggraini
IJCONSIST JOURNALS Vol 6 No 1 (2024): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i1.121

Abstract

The Internet has become a platform for storing and accessing a wide range of public information. People tend to use social media to express opinions on products, political policies, and politicians, both as individuals and as parties. Sentiment analysis of presidential and vice-presidential candidates aims to understand public perspectives on each candidate. Based on sentiment analysis of the Indonesian public on social media, potential candidates for the presidential election, which is still over a year away, can be identified. This study categorizes sentiments into four classes: happy, love, sad, and angry. The model employs FastText embeddings with a Convolutional Neural Network (CNN). The best performance achieved was an F1-score of 0.9510. The findings indicate that Ganjar Pranowo leads as a presidential candidate, while Erick Thohir stands out as the leading vice-presidential candidate.
Simulation of an IoT Based Smart System for Monitoring Hand Hygiene of Medical Personnel in Hospitals Tunggadewi, Elsyea Adia; Dina Nur nahdliyah, Sisca; Prayitno, Hadi
IJCONSIST JOURNALS Vol 6 No 1 (2024): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i1.125

Abstract

Improving hand hygiene of medical personnel in hospitals is one of the main steps in preventing nosocomial infections which can threaten patient safety. However, based on WHO data, only around 40% of medical personnel consistently comply with hand hygiene protocols. Obstacles such as lack of supervision and technological limitations also worsen this condition. Therefore, this research proposes the development of an Internet of Things (IoT) based system that can monitor the hand hygiene of medical personnel in real-time, as an effort to increase compliance and support more effective hand hygiene management in the hospital environment. This research aims to design an intelligent IoT system that is able to detect and record the hand hygiene activities of medical personnel automatically, based on predetermined hand hygiene protocols. This system will also be equipped with data analysis features to help hospital management evaluate the level of medical personnel's compliance with hygiene standards. By utilizing sensor technology, this system is expected to be able to provide innovative, efficient and integrated solutions, so that it can support more optimal hygiene management in health facilities. The research method consists of three main stages. The first stage is a needs analysis and literature study to understand relevant hand hygiene standards and IoT technologies. The second stage involves system design, including virtual microcontroller-based hardware modeling, sensor simulation, and software development in a simulation environment. The third stage is system simulation and performance testing in a virtual hospital environment to evaluate its effectiveness. An iterative approach is applied to ensure the simulation results comply with theoretical user needs and applicable standards.
Comparative Analysis of Android 10 and Android 14 in the Eventeer Application Aris Pratama; Wijanarko, Rendi Panca; Suryantari, Putu Anggi
IJCONSIST JOURNALS Vol 6 No 1 (2024): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i1.127

Abstract

In this era of rapid technological advancement, event management systems have undergone significant transformation towards mobile-based models. One prominent application in this domain is Eventeer, offering features such as in-app chat, event scheduling, learning media, and event feeds for user interaction. This study aims to compare the performance of Android operating system versions 10 and 14 when running the Eventeer application. Performance measurements include memory usage, CPU utilization, and total storage used. Testing was conducted using Android Profiler in Android Studio to obtain accurate and comprehensive data. Results indicate that Android 14 exhibits higher memory usage compared to Android 10, while CPU usage tends to be more efficient on Android 14. The application size and storage usage did not show significant differences between the two Android versions. These findings provide valuable insights for developers and users on how the performance of the Eventeer application may be influenced by the Android OS version used. The study recommends further research encompassing broader test aspects such as battery consumption and network usage. Thus, future research can provide deeper insights into the factors affecting the performance of Android operating systems on mobile applications like Eventeer.

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