cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Usman Ependi
Contact Email
usmanependi@adsii.or.id
Phone
081271103018
Journal Mail Official
usmanependi@adsii.or.id
Editorial Address
Jl AMD, Lr. Tanjung Harapan, Taman Kavling Mandiri Sejahtera B11, Kel. Talang Jambe, Kec. Sukarami, Palembang, Provinsi Sumatera Selatan, 30151
Location
Unknown,
Unknown
INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 653 Documents
 32   33   34   35   36 
The Cyber Kill Chain Model and Its Applicability on The Protection of Students Academic Information Systems (SAIS) in Tanzanian HEIs Matto, George
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.676

Abstract

Security threats are constantly evolving in various computerized systems. As in many other systems, security threats and attacks have been directed to Students Academic Information System (SAIS) in Higher Education Institutions (HEIs). The seven steps cyber kill chain model offers preventive defense against such security threats. Little is known, however, on how well the model is applicable in the protection of SAIS. This study was therefore carried out to investigate the applicability of the cyber kill chain model on the protection of SAIS. The study was qualitative in which empirical evidence from literature was employed to gather data which were then analysed thematically through content analysis. Results showed that the cyber kill chain model is very relevant and applicable in the protection of SAIS. Each of the seven steps of the model practically applies differently in SAIS which entails for distinct protective measures as detailed in the paper. The study calls upon HEIs stakeholders to leverage the proposed preventive measures against security threats in SAIS.
Game Theory Analysis of Indihome and Biznet in the Salatiga Internet Market Christanto, Henoch Juli
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.677

Abstract

With the rapid expansion of internet usage in Indonesia, comprehending the competition within the internet service provider sector has become imperative. This study investigates the competitive dynamics between Indihome and Biznet in the Salatiga internet market, examining various strategic dimensions such as pricing strategies, network quality, promotions, payment models, customer service, accessibility, product portfolios, and data security. Employing game theory methodology, the research discerns optimal strategies for each provider, utilizing maximin and minimax strategies to minimize potential losses and maximize potential gains. Validity and reliability testing ensures the integrity of the analysis, confirming the validity and reliability of all variables. Results reveal that Indihome employs strategy X5 (Customer Service) to attain a maximum profit of 36, while Biznet adopts the same Y5 strategy to minimize a loss of 36. This study provides valuable insights for both service providers to adeptly navigate the competitive landscape.
Model for Enhancing Cloud Computing Resource Allocation Management Using Data Analytics Sekwatlakwatla, Sello Prince; Malele, Vusumuzi
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.679

Abstract

The cloud computing environment requires an adequate and accurate traffic prediction tool to fulfill the needs of customers and support organizations effectively. In the absence of an effective tool for forecasting cloud computing traffic, many organizations might fail. It is difficult to predict the network resources that are suitable to meet the needs of all network clients at a given time in a cloud computing environment because of the inconsistent network traffic flow. There is still room for improving the predictive accuracy of the model in cloud computing. The higher the accuracy of the traffic flow, the better the allocation of resources. Therefore, this study proposes an ensemble method called SGLA (Stepwise Gaussian Linear Autoregressive) by combining linear regression, support vector machines, Gaussian process regression, and the autoregressive integrated moving average technique. SGLA performed better than all methods with a minimum MAPE of 1.03% of the ensemble approach by using the averaging strategy, SGLA shows a clear advantage in handling resource allocation better despite traffic fluctuations, with 91.7% traffic prediction accuracy. Overall experimental results indicate that this method performed better than single models in terms of prediction accuracy. The main contribution of this study is to propose a data analytics model for enhancing cloud computing resource management.
An Integrated Framework for Controllers Placement and Security in Software-Defined Networks Ecosystem Sebopelo, Rodney; Isong, Bassey
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.682

Abstract

In the evolving landscape of Software-Defined Networking (SDN), the strategic placement of controllers poses a critical challenge that necessitate a precise balance between network performance and security. This paper presents an integrated framework for enhancing security and performance in SDN by combining controller placement and intrusion detection systems (IDS). Unlike existing solutions which were implemented disjointedly, we propose a holistic approach that leverages the proximity of controllers to network traffic for real-time threat detection, rapid response, and mitigation of security attacks. We employ an advanced clustering model for optimal controller placement, reducing costs and latency while ensuring reliability and balanced loads. In addition, we utilize k-nearest neighbour (KNN) for efficient anomaly detection in our IDS for improved network security. Experimental results confirm the framework’s effectiveness in strengthening SDN security and resilience. The enhanced-DBSCAN-based CPP model significantly minimized the cost, and latency, and ensured continuous operation in dynamic SDN environments while the KNN-based IDS shows effectiveness in improving threat detection capabilities, achieving high detection accuracy of 100% on the LAN dataset, outperforming other machine learning models such as Random Forest and Naïve Bayes. The indication is that strategic controller deployment, in conjunction with IDS, can significantly bolster threat detection, response times, and the overall security stance of the SDN environment.
Development of A Tourist Destination Object Search Application as A Madura Tourism Information Media Using ADDIE Model Fatah, Doni Abdul; Suzanti, Ika Oktavia; Ifandia, Alfian Mahendra; Negara, Yudha Dwi Putra; Mufarroha, Fifin Ayu
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.685

Abstract

The rapid development of tourism has caused many tourists to be interested in enjoying it. Madura Island is a small archipelago and is part of East Java. Madura consists of 4 districts, namely Bangkalan district, Sampang district, Pamekasan district, and Sumenep district. With the number of districts owned, it creates a diversity of tourism. The development of the tourism sector must also be accompanied by the development of information technology. Utilization of technology can improve accommodation in supporting tourist destination services by designing an android-based application for searching for objects supporting Madura tourism destinations. The purpose of this research is to create an object search application that supports tourist destinations and serves as a medium for information about tourist locations on the island of Madura, making it more straightforward for tourists/users to enjoy their vacation. The stages of research carried out using ADDIE Model include knowing the system requirements, analysis and design, Development, implementation, and Evaluation. The results of the study are in the form of applications by detecting supporting objects including places of interest, gas stations, lodging, religion, culinary and health. It is expected that users when visiting Madura tourism will be easy, fun, and can enjoy their holidays.
The Empirical Study on the Impact of the COVID-19 on Small and Medium Enterprises (SMEs) in Bangladesh Rahman, Md. Motiur; Bhuiyan, Mohammad Rakibul Islam; Alam, S. M. Ashraful
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.686

Abstract

The large COVID-19 disease outbreak had a devastating impact on the entire world, with Bangladesh being one of the worst-affected nations. The epidemic worsened the situation of small and medium-sized companies (SMEs) in Bangladesh. The goal of this study is to examine the possibilities and difficulties faced by SMEs in Bangladesh's Rangpur district during the COVID-19 epidemic and the transition to the new normal. The research methodology combines an exploratory technique with a quantitative methodology. The study is designed on both primary and secondary data. Researchers collected data from 290 respondents from Rangpur District. The first finding of the study is that the most significant proportion of business is small enterprise which is 83.4 percentage. Lack of opportunities and business scope, there are less numbers of medium enterprise in the Rangpur district that is around 17%. Second one, opportunity of COVID-19, around 71% businesses have been improved financial condition by working capital in pandemic situation which is one the opportunity for SMEs. Moreover, commerce increase which is 40% of the respondents. Technological adaptation and E-commerce are the positive sides for improving socio-economic development for Rangpur district. challenge’soint of challenges view, COVID-19 on SMEs is the largest competition between business which is approximately 72% and total responses is 209 out of 290.
Identification and Modeling of SI-LAUT: Information System for Indonesian Maritime Resources Using Penta-Helix Model Istyanto, Noerma Pudji; Nasrullah, Muhammad; Fikri, Mohammad Anas
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.687

Abstract

Indonesia, as a country predominantly surrounded by the sea, holds significant potential in marine resources, fisheries, and other maritime fields. However, there is still a lack of awareness and understanding among the Indonesian population regarding these maritime aspects. Currently, there are various media and information sources related to this topic, ranging from websites and applications to supporting information systems. Nevertheless, users often struggle to find and comprehend this information easily and comprehensively. Existing information systems tend to be fragmented or operate independently, leaving many laypeople unable to fully optimize the existing potential. To address this, researchers aim to identify and model a comprehensive and integrated information system focused on marine and other maritime resources, known as SI-LAUT The research method employed in this study consists of literature review, stakeholder identification based on the Penta-Helix model, analysis of the existing system, and gap analysis in comparison to previous research that focused on the implementation of other maritime and marine information systems. The results of this research consists of a recommendation for an information system development model that can assist various stakeholders based on the Penta-Helix Model. These stakeholders include government bodies, entrepreneurs, academics, as well as the general public or other communities. The goal is to optimize the management and utilization of Indonesia’s marine resources, ultimately positioning it as a global maritime powerhouse.
An Artificial Neural Network Model for Predicting Children at Risk of Defaulting from Routine Immunization in Nigeria Evwiekpaefe, Abraham Eseoghene; Lawi, Valerie Plangnan
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.689

Abstract

It has been widely recognized that immunization remains one of the most successful for decreasing child mortality rates and preventing several serious childhood diseases globally. This study proposed a prediction model for accurate identification of routine immunization defaulters in Nigeria. The proposed framework classified defaulters at five different risk stages: insignificant risk, minor risk, moderate risk, major risk and severe risk to reinforce targeted interventions by accurately predicting children at risk of defaulting from the immunization schedule. Data from Nigerian Demographic and Health Survey 2018 was obtained for this study and thirty-four (34) demographic and socio-economic factors were used to predict children at risk of defaulting from routine immunization in Nigeria by using Artificial Neural Network (ANN) to train the dataset. The results indicated that ANN model produced an accuracy of 99.16% for correctly identifying children who are likely to default from immunization series at different risk stages. Other performance measures include Precision of 99%, Recall of 99% and F1 Score of 99%. The model was further validated using one thousand (1000) dataset, out of which nine hundred and seventy four (974) were correctly predicted.
Ethical Provision of Online Learning in South African High Schools Chipangura, Baldreck
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.691

Abstract

Drawing from Kantianism, utilitarianism, information systems ethical models, and South Africa Department of Education policies, this study investigated how high schools can ethically provide online learning. The study was prompted by two unethical concerns highlighted in the literature: firstly, the potential discrimination to online learning against learners who do not have access to information technology resources, and secondly, the cyber risks faced by learners from prolonged exposure to Internet connected devices. To gather data for the study, interviews were conducted with 15 schoolteachers, who were conveniently sampled from five schools in Centurion, Pretoria city, South Africa. The data was thematically analysed, and the results of the study found constructs that inform ethical provision of online learning, which are: equal access to online learning, teacher competence, teacher empathy, and cyber security of learners. The findings of this study inform the policy on providing ethical online learning in South Africa and any other country.
Shielding Social Media: BERT and SVM Unite for Cyberbullying Detection and Classification Aggarwal, Parth; Mahajan, Rhea
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.692

Abstract

This paper presents a novel approach for cyberbullying detection and classification in social media text using an ensemble model that combines BERT (Bidirectional Encoder Representations from Transformers) and Support Vector Machine (SVM) with grid search for multiclass classification. We have also compared the performance of our proposed with various machine and deep learning models and the results show that our proposed model outperforms other models achieving an accuracy of 90% on testing data. Further, we have used to used SHapley Additive exPlanations (SHAP) an Explainable (XAI) technique to interpret the predictions of the BERT-SVM ensemble model.

Page 34 of 66 | Total Record : 653

 32   33   34   35   36 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7 No 4 (2025): December Vol 7 No 3 (2025): September Vol 7 No 2 (2025): June Vol 7 No 1 (2025): March Vol 6 No 4 (2024): December Vol 6 No 3 (2024): September Vol 6 No 2 (2024): June Vol 6 No 1 (2024): March Vol 5 No 4 (2023): Journal of Information Systems and Informatics Vol 5 No 3 (2023): Journal of Information Systems and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics Vol 4 No 4 (2022): Journal of Information Systems and Informatics Vol 4 No 3 (2022): Journal of Information Systems and Informatics Vol 4 No 2 (2022): Journal of Information Systems and Informatics Vol 4 No 1 (2022): Journal of Information Systems and Informatics Vol 3 No 4 (2021): Journal of Information Systems and Informatics Vol 3 No 3 (2021): Journal of Information Systems and Informatics Vol 3 No 2 (2021): Journal of Information Systems and Informatics Vol 3 No 1 (2021): Journal of Information Systems and Informatics Vol 2 No 2 (2020): Journal of Information Systems and Informatics Vol 2 No 1 (2020): Journal of Information Systems and Informatics Vol 1 No 2 (2019): Journal of Information Systems and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics More Issue