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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 46 Documents
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Search results for , issue "Vol 6 No 2 (2024): June" : 46 Documents clear
Comparison Study of NIST SP 800-86 and ISO/IEC 27037 Standards as A Framework for Digital Forensic Evidence Analysis fFaizal, Arif; Luthfi, Ahmad
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.717

Abstract

To ensure a comprehensive and scientifically rigorous analysis, adhering to standardized procedures serves as the foundation of any investigation. In the realm of digital forensics, the establishment of well-defined protocols for generating exhaustive reports to analyze digital evidence holds paramount importance. These reports not only carry significance in legal contexts but are also increasingly valuable across various industries for internal purposes. Esteemed organizations like the International Organization for Standardization (ISO) and the National Institute of Standards and Technology (NIST) have played a pivotal role in shaping recognized standards in this domain. The primary goal of this report is to conduct an in-depth comparison between two prominent digital forensics standards: ISO/IEC 27037, widely embraced in industries, and NIST SP 800-86, predominantly prevalent in academic circles. Through this comprehensive analysis, the report aims to provide valuable insights to Digital Evidence First Responders (DEFR), including law enforcement, academia, and industry professionals. By elucidating the discrepancies, scopes, and limitations inherent in each standard, DEFRs can bolster their understanding, thus empowering them to make well-informed decisions during digital investigations. Future works in this field should focus on the continual evolution of digital forensic practices, adapting to new technologies and challenges, and ensuring that standards remain up to date with the dynamic digital landscape.
Role of Local Government in Localizing SDG in Bangladesh Islam, Saiful
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.718

Abstract

This study is unearthing the localizing process of SDG in Bangladesh in meeting the Sustainable Development Goals (SDGs) targets. Though nations bear the main responsibility for the SDGs, these goals specifically call for involvement from local authorities. Around 12 of the 17 SDGs require comprehensive strategies at the grassroots level to tackle interconnected issues like poverty, poor health, social challenges, and environmental degradation, with exceptions being Goals 9, 12, 13, 14, and 17. Bangladesh's constitution wisely allocates significant responsibilities for social and economic development, including the formulation and execution of plans concerning public services and economic progress, to the local government bodies, particularly the union parishad (UP), which serves as the primary interface with the community [Article 59(2)(c)(Constitution, 2004)]. Local Government Institutions in Bangladesh are positioned to have a significant influence on the localization of the SDGs, given their proximity to the most marginalized and frequently vulnerable rural communities, allowing for direct impact. Despite this potential, they have yet to make a substantial contribution to SDG localization, and with the deadline approaching, there is a pressing need to address this issue. This paper seeks to examine the obstacles encountered by local government in Bangladesh in their efforts to localize the SDGs, aiming to gain insight into the challenges hindering effective policy implementation.
Analyzing the Relationship Between Meteorological Parameters and Electric Energy Consumption Using Support Vector Machine and Cooling Degree Days Algorithm Azizah, Nabila Wafiqotul; Puspaningrum, Eva Yulia; Mas Diyasa, I Gede Susrama Susrama
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.719

Abstract

Nowadays, electricity is increasing rapidly. This increase is caused by several factors, one of which is meteorological factors. Meteorological parameters have various types, but this research uses three types in the form of temperature, humidity, and wind speed. The selection of these three types is due to the fact that they have a very close relationship with human life. In line with that, this research uses datasets obtained from the official websites of BMKG (Meteorology, Climatology and Geophysics Agency) and PLN (State Electricity Company). On this occasion, researchers used several methods, namely Cross-Industry Standard Process for Data Mining (CRISP-DM), Cooling Degree Days (CDD), and Support Vector Machine (SVM). The CRISP-DM method is useful for describing the data mining cycle so that the process can be more organized. The SVM algorithm is useful for predicting electricity consumption based on meteorological parameters in January to April 2024, while the CDD method is useful for knowing the correlation of meteorological parameters to electricity consumption in winter. In line with this, this research produces predictions of electricity consumption based on meteorological parameters in January 2024 to April 2024 with an average range of 20.9 Watts per day. In addition, trends and predictions during model evaluation obtained a precision value of 0.796, recall of 0.793, F1 score of 0.793, MAPE of 17.2%, RMSE of 0.41, MAE of 0.167 and accurate of 0.98. These values indicate that the performance of the accuracy model is very high.
Predictive Analytics on Shopee for Optimizing Product Demand Prediction through K-Means Clustering and KNN Algorithm Fusion Febima, Mesi; Magdalena, Lena
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.720

Abstract

This study focuses on predictive analysis in the context of the Shopee market, aiming to optimize product demand forecasting through the combination of K-Means clustering and KNN algorithms. With the exponential growth of e-commerce platforms like Shopee, accurately predicting product demand is becoming increasingly important for inventory management and marketing strategies. In this research, we propose a novel approach that combines the strengths of K-Means clustering and the KNN algorithm to improve demand prediction accuracy. By leveraging K-Means clustering to group similar products into two clusters, namely “Low Interest” with 64 data points and “High Interest” with 25 data points, we then apply the KNN algorithm to predict demand within each cluster. The KNN algorithm produces two classifications: Low Sales and High Sales. Based on tests using the KNN algorithm with k values of 3, 5, and 7, it was demonstrated that the product “Soraya Bedsheet Cotton Gold Motif Dallas Ask Grey Tua” can be predicted to fall under “High Sales.” The sales prediction accuracy rate for Shopee marketplace products is 96%. The implications of these findings indicate that the combination of K-Means and KNN algorithms can improve the accuracy of product demand predictions and optimize inventory and marketing strategies.
Decision Support System for Employee Performance Assessment Using Analytical Hierarchy Process and Simple Additive Weighting Methods Suprapto, Yulisnio Prasakti; Haerudin, Haerudin; Danuwidodo, Agus
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.721

Abstract

Evaluation of employee performance is carried out by company leaders at company work meetings to determine the best employees. In the process of assessing the best employees, the relevant company still does not use a digital system and does not have a clear weighting system for the criteria used. This results in inaccurate assessment results. Based on the problems found during field observations, research was carried out with the aim of developing a computerized decision support system for employee performance assessment and a system that applies weighting to each criterion. The Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods are the methods used in developing this decision support system. The AHP method is used to determine the weight of each criterion, while the SAW method is used to determine the ranking of the best employees. The research results are in the form of a website-based decision support system complete with criteria and weights for each criterion as well as the final results of the performance assessment of the 5 data samples used. This system has been tested using the User Acceptance Test method and obtained a score of 78.31%.
Utilizing Web Engineering to Build a Savings and Loans Information System in A Plasma Pratama Mandiri Cooperative Miranti, Amelia Tya; Fatoni, Fatoni; Andri, Andri; Erlansyah, Deni
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.723

Abstract

The Plasma Pratama Mandiri Cooperative operates in the field of savings and loan fund services for its members. However, the cooperative faces significant challenges due to its reliance on conventional, archive-based systems for processing savings transactions, loans, installments, and report preparation. These outdated methods result in time-consuming data searches and inefficiencies. To address this issue, the aim of this study is to develop a more efficient and computerized savings and loan information system for the Plasma Pratama Mandiri Cooperative. The study employs the Web Engineering method, encompassing stages such as communication, planning, modeling, construction, and deployment, with system modeling conducted using the Unified Modeling Language (UML). The outcome of this research is the development of an Android-based savings and loan information system for cooperative members and a web-based system for cooperative administrators. This new system facilitates online management and significantly enhances service efficiency for cooperative members.
Enhancing Website Management Through Expertise and Rapid Application Development Frameworks Widodo, Eko; Setiawan, Ruben William; Dasra, Muhamad Nur Agus; Singgalen, Yerik Afrianto
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.725

Abstract

Effective website management is crucial for organizations seeking to engage users and communicate effectively with stakeholders. This research explores the role of specialized expertise in typography, audio and visual design, copywriting, and the implementation of Rapid Application Development (RAD) frameworks in optimizing website management practices. By leveraging the skills of typography, design, and copywriting specialists, organizations create visually appealing and engaging online experiences that effectively convey messages and drive user interaction. Additionally, adopting RAD methodologies enables agile and iterative website development processes, allowing for quick prototyping, feedback integration, and rapid deployment of updates. Through synthesizing expert knowledge and RAD principles, organizations enhance their online presence, meet the evolving needs of users and stakeholders, and achieve their strategic objectives in today's dynamic digital landscape.
Implementation of the PIECES Framework as an Evaluation of Student Satisfaction Levels with the Use of STARS UKSW Muflihanto, Ezar Juan; Hartomo, Kristoko Dwi
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.726

Abstract

This research aims to evaluate the level of student satisfaction with the use of the Academic Information System (STARS) at Satya Wacana Christian University (UKSW) using the PIECES (Performance, Information, Economy, Control, Efficiency, and Service) framework. The research method used was a survey with a structured questionnaire distributed to a sample of students from various study programs at UKSW. The collected data was analyzed using descriptive statistical techniques and the PIECES Framework to measure STARS performance from the user's perspective. The research results show that although STARS has provided good performance in several aspects, there are areas that require improvement to increase user satisfaction. The implication of this research is the importance of using a framework such as PIECES in evaluating information systems to thoroughly understand user needs and perceptions, as well as providing a strong basis for improvement and development of better systems in the future.
Evaluation of the Open ERP Implementation for MSME (Case Study: Palembang City) Mirza, Ahmad Haidar; Halim, R.M. Nasrul; Yeni, Yeni
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.728

Abstract

The emergence of Enterprise Resource Planning (ERP) systems has transformed the way businesses operate, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Serves as a relevant area of study to understand the impact, challenges, and benefits of using Open ERP. ERP is a method used by industries to enhance business process efficiency. This is done by sharing information both within and between business processes. This study aims to evaluate the implementation of Open ERP in the MSME ecosystem using the HOT-Fit method, which measures the fit between Human, Organization, and Technology components in the use of the Odoo application for MSMEs. Odoo is a open-source ERP software that is suitable for small and medium businesses. Based on the analysis results, it can be concluded that the implementation of OpenERP using the Odoo application only affects the human component. Simultaneous testing indicates that these three variables collectively influence net benefits.
Measuring the User Experience of LMS CLASS-IPB Using the User Experience Questionnaire Method Wicaksana, Arya Dimas; Juliansyah, Rizki; Lubis, Muhammad Anggi; Fami, Amata; Wahyoedi, Bontisesari
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.731

Abstract

This study conducts the measurement of user experience (UX) of the CLASS-IPB Learning Management System (LMS) using the User Experience Questionnaire (UEQ) method. The research was carried out through several stages, including a literature review, method determination, data collection, and data analysis using UEQ Data Analysis Tools. It involved 45 students who provided feedback on six UX aspects: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Results indicated that CLASS-IPB excels in pragmatic qualities, particularly in efficiency, perspicuity, and dependability, with scores above the benchmark average. However, the system scored lower in hedonic qualities, specifically in stimulation and novelty, suggesting areas for improvement. The study concludes that while CLASS-IPB is effective in aiding task completion and user control, it needs enhancements to become more motivating and innovative.

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