Journal of Information Systems and Informatics (Journal-ISI)
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Rice Yield Forecasting: A Comparative Analysis of Multiple Machine Learning Algorithms
Get PDFAgriculture plays a crucial role in Nigeria's economy, serving as a vital source of sustenance and livelihood for numerous Nigerians. With the escalating impact of climate change on crop yields, it becomes imperative to develop models that can effectively study and predict rice output under varying climatic conditions. This study collected rice yield data from Katsina state, spanning the years 1970 to 2017, sourced from the Nigeria Bureau of Statistics. Additionally, climatic data for the same period were obtained from the World Bank Climate Knowledge portal. Logistic Regression (LR), Artificial Neural Network (ANN), Random Forest (RF), Random Trees (RT), and Naïve Bayes (NB) were employed to develop rice yield prediction models utilizing this dataset. The findings reveal that random forest and random trees exhibited superior classification performance for yield prediction. The developed models offer a promising tool for predicting future rice yields, facilitating proactive measures to ensure food security for the people of the state
Analysis of User Experience on SPOTA UNTAN Using Heuristic Walkthrough Method
Get PDFSPOTA UNTAN is an abbreviation for Sistem Pendukung Outline Tugas Akhir for the Informatics study program at Tanjungpura University. SPOTA UNTAN was developed within the Informatics study program at Tanjungpura University in 2008. SPOTA UNTAN is an information system that support students in submitting their final project topics. As for now, SPOTA UNTAN has undergone several updates, including the new features to enhance the information system functionality. As its interface has undergone some changes, such as the addition of content, however, the CSS framework (colors, fonts, shapes, etc.) still retains the original design and not yet updated to align with the user experience. Therefore, several analyses are needed to address these uncertainties from a user interface perspective by usability tests. The study will apply the Heuristic Walkthrough method, which combines Cognitive Walkthrough and Heuristic Evaluation. The analysis will involve 5 expert evaluators in UI/UX. This study result showed a total of 39 recommendations for problem resolution, categorized into functional feature improvements and interface enhancements
Mikrotik VPN Shielding E-Link Health Reports: Strengthening Data Security at Madiun Health Office
Get PDFAdvances in Information and Communication Technology have led to revolutionary changes in computer networking, especially in Indonesia, which has witnessed significant technological growth over the last four years. Despite this progress, inter-agency data exchange, particularly in governmental organizations, remains vulnerable to security risks. This study focuses on enhancing the security measures for the Electronic Health Information Report (E-Link) system at Madiun District Health Office by implementing a Virtual Private Network (VPN) using MikroTik. A multi-method approach, comprising direct observation, interviews, and literature review, was adopted for this investigation. The findings confirm that the utilization of Point-to-Point Tunneling Protocol (PPTP) via MikroTik substantially elevates the security and governs controlled access to the E-Link application. Therefore, the implementation of a VPN not only fortifies the security but also improves the accessibility of health data systems
Enhancing Digital Forensic Investigation: A Focus on Compact Electronic Devices and Social Media Metadata
Get PDFThe rise of portable electronic devices and social media has led to new criminal activities, necessitating advancements in digital forensics. This paper introduces Small-Scale Digital Device Forensics (SSDDF), focusing on the forensic examination of miniature digital devices often used in crimes. SSDDF addresses the challenges posed by these devices, particularly in extracting and analyzing data from them. A key aspect of this research is exploring ontology in social media forensics, particularly within the Android operating system. This involves extracting digital evidence like user accounts, messages, and images from social media platforms. While the paper primarily focuses on social media data, it acknowledges the importance of the devices used in crimes. The integration of SSDDF and the analysis of Android system structures are highlighted as key advancements in digital forensic methodologies. These enhancements are expected to improve the process of collecting and analyzing digital evidence from both compact electronic devices and social media platforms. The study offers significant contributions to the field of digital forensics. It provides new strategies for more efficient and effective forensic investigations, especially in the context of extracting and analyzing digital evidence from small electronic devices and social media, thus paving the way for more robust digital evidence handling in future forensic inquiries
Analysis of Vegetation Changes Using Satellite Imagery and Normalized Difference Vegetation Index (NDVI): A Case Study in Tuntang District, Semarang District
Get PDFChanges in land use from agriculture to residential and industry continue to occur in Tuntang District, and analysis is needed to identify areas experiencing the most significant changes. Development growth triggered by an increase in population can cause significant changes, such as the conversion of land from forests to agricultural land or plantations, as well as from agricultural land to residential and industrial areas. To monitor land changes, Remote Sensing is used as an effective tool. This method allows data analysis without direct contact with the object being studied. The use of Landsat-8 imagery, as a remote sensing tool, can help identify variations in vegetation. Analysis using the Normalized Difference Vegetation Index (NDVI) calculation method can provide information about the level of vegetation density in the area. The research results show significant changes in vegetation density in Tuntang District from 2019 to 2022. This change is believed to be related to the increase in population, which may be a driving force for several areas to experience development and changes in land function
Leveraging Prototype Method for Designing Tajweed Mobile Based Learning
Get PDFIn today's fast-paced society, individuals often struggle to find dedicated time for studying the Qur'an. This research aims to address this challenge by designing and developing a Mobile-Based Tajweed Learning Application. By harnessing the power of mobile devices, this application provides users with a platform for independent and accurate Tajweed Science learning. To bridge the gap between developers and users, the Prototype Method is employed in the development process. This collaborative approach offers several benefits, including concept testing, cost and time savings, increased user involvement, iterative improvements, risk reduction, and enhanced communication. By actively involving users throughout the development cycle, the application can better align with their requirements and expectations, leading to an improved end product. The effectiveness and reliability of the mobile-based Tajweed learning application are rigorously validated through black box testing. This thorough testing method ensures that the application functions as intended, delivering a seamless learning experience to users. Furthermore, the application leverages the Flutter framework, enabling optimal performance and responsiveness. The framework's features, such as hot reload, contribute to efficient development and ensure a smooth user experience. The results of the Tajweed Mobile Based Learning project demonstrate that the application effectively provides learning materials and facilitates practice sessions with ease. By utilizing this mobile application, users can access comprehensive Tajweed resources conveniently and independently, overcoming the time constraints often associated with studying the Qur'an. This research showcases the potential of mobile technology to enhance Quranic education and empower individuals in their Tajweed journey
Analysis of IT Performance on Management HR of Equity Firm Using COBIT 5
Get PDFAn Indonesian equity company is involved in project management for the construction of mechanical systems and the development of electrical and chemical waste treatment systems. With a strong emphasis on continuous improvement and customer satisfaction, the company is dedicated to enhancing its services. However, additional human resources are needed, particularly in the IT field, to align with the business objectives that have not yet been achieved. Despite establishing a minimum requirement of ten years of work experience, the study employs the COBIT 5 framework to evaluate the competency levels in IT governance. The analysis reveals four crucial domains: APO01 (Managing the IT Management Framework), APO07 (Human Resource Management), APO12 (Assessing and Managing Risks), and EDM04 (Ensuring Resource Optimization). It is evident that both EDM04 and APO01 are currently at level 1 and have not reached the desired level. Furthermore, APO07 and APO12 are at level 2 and still need to progress towards their ideal targets. Although Human Resource Management has performed satisfactorily, there is room for improvement in the upcoming year to further enhance its performance
Enhancing Sales Determination for Coffee Shop Packages through Associated Data Mining: Leveraging the FP-Growth Algorithm
Get PDFThe coffee shop business offers a diverse range of coffee and food options. However, customers often experience delays during transactions due to the extensive selection of menu items and combinations. This inconvenience not only discomforts new customers but also hampers their likelihood of returning, potentially impacting the overall business turnover. To address this issue, this study aims to establish association rules by combining the least and most popular menu items for the upcoming month. These rules will serve as a guideline for creating shopping packages that streamline the decision-making process. The FP-Growth algorithm is employed to analyze sales transaction data from January to March 2023, comprising 2,336 transactions in .csv format. Among the generated association rules, two rules stand out with the highest support and confidence values. The first rule exhibits a support value of 0.3% and a confidence of 70.0%, while the second rule showcases a support value of 0.4% and a confidence of 69.2%. By considering these two rules alongside the existing menu options, coffee shop owners can effectively curate shopping packages that cater to customer preferences. It is anticipated that these packages will elevate the quality of service, attract a greater number of customers, and subsequently enhance the overall business turnover
Stream Clustering for Selection Recommendations Using K-Means Algorithm: A Case Study in the Informatics Study Program
Get PDFConcentration Stream for a major is a process where students focus their attention on a specific discipline according to their interests. The purpose of specialization is to better orient students to the knowledge they have gained from previous courses, so that they can have a clearer focus. In the Informatics Engineering study program at Bina Darma University there are 3 concentrations, namely: Software Engineering, Network Engineering, Data Analytics. The absence of a system that helps students choose a major concentration makes it quite difficult for students to know their academic abilities. By looking at these problems, this research aims to build a Recommendation system for selecting Mk-Stream Concentrations using the K-Means grouping approach using the K-Means cluster method. Where student academic achievement data from the first semester to the 4th semester is used as a variable in the calculations
Product Stock Supply Analysis System with FP Growth Algorithm
Get PDFThis study explores the application of Data Mining in deciphering consumer purchasing patterns at Tani Heritage Shop, a retailer specializing in agricultural products. Facing the challenge of managing a high volume of daily sales transactions, the shop often encounters difficulties in tracking which products are frequently purchased together. This lack of insight leads to a critical issue: popular products running out of stock unexpectedly. To address this, the research focuses on developing a product stock supply analysis system, utilizing the FP Growth Algorithm. The FP Growth Algorithm, a powerful tool in Data Mining, is employed to analyze sales transaction data and identify consumer purchasing trends, particularly products bought simultaneously. This approach is designed to provide insights into optimal stocking strategies, ensuring the availability of in-demand products. The research methodology involves applying the FP Growth Algorithm to model the product stock supply system, using specific sales data attributes. The results of this study are significant. By setting parameters such as a minimum support value of 30%, a confidence value of 70%, and targeting the highest lift ratio value of 3.67, the research successfully derives several key association rules from the FP Growth algorithm. These rules are instrumental in optimizing the product stock supply analysis system