Journal of Information Systems and Informatics (Journal-ISI)
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Monitoring Application Complaints of Internet Service Provider Interference Using Waterfall Method (Case Studies: Indihome Pasar Baru Tangerang)
Get PDFThe impact of information systems and technology on various industries, including internet services like Indihome, is substantial. However, providing seamless access to Indihome internet services remains a challenge for PT Telkom Akses, particularly at their Pasar Baru Tangerang branch. One of the issues faced by staff members when handling complaints from internet service users is the lack of integration between the manual data management system and Telegram, which could automate operations and streamline the process of distributing trouble tickets. The current process for distributing trouble tickets is also inefficient, relying on manual copying and pasting. To address these issues, the application was developed using the PHP programming language, Codeigniter Framework, and MySQL, and the Waterfall method was employed in the design process. The application includes features such as Add Data Datin, Add Data Non Datin, Close Data Datin, Close Data Non Datin, and Telegram bots to facilitate complaint monitoring and ticket distribution
Hoax News Analysis for the Indonesian National Capital Relocation Public Policy with the Support Vector Machine and Random Forest Algorithms
Get PDFThe decision of the Indonesian government to relocate the nation's capital outside Java to the North Penajam Paser Regency has sparked controversy and misinformation on social media platforms. While sentiment analysis studies have been conducted on this topic, no research has yet analyzed the issue of hoaxes related to the relocation of the national capital. This study aims to fill this gap by analyzing hoaxes related to the relocation of the Indonesian national capital on Twitter. The study utilizes data crawling, filtering with Hoax Booster Tools (HBT) ASE, data labeling, preprocessing, and TF-IDF weighting. The data is then classified using Support Vector Machine (SVM) and Random Forest (RF) algorithms, and the results of both algorithms are compared. The study found that 85% of tweets had a positive sentiment and 15% had a negative sentiment. Furthermore, the SVM algorithm outperformed the RF algorithm with an accuracy of 95.24% compared to 86.90%. This study contributes to the understanding of the hoax issues related to the relocation of the Indonesian state capital and provides recommendations for government policies to address community concerns
Analysis and Design of Morotai Tourism Village Information System (SIDEWITA) Based on Local Wisdom of Tokuwela and Babari Tradition
Get PDFThis study focuses on optimizing the management system of tourism villages in Indonesia through the development of a contextual and relevant information system that caters to users' needs. Specifically, the study targets the Morotai Island Regency, where the tourism village management requires a website-based system capable of providing comprehensive information on attractions, accessibility, accommodation, and ancillary services to a broader market. The study uses the Software Development Life Cycle (SDLC) with a Waterfall approach to design the system, with a focus on the actors involved in the system, including tourists and prospective tourists (users as tourists), administrators and community members (users as a community), and stakeholders such as entrepreneurs and formal organizations supporting tourism (users as stakeholders). The resulting system, SIDEWITA, is expected to optimize the management of tourist villages in Morotai Island Regency. However, the study is limited to the design phase using the Waterfall approach
A Review of Fuzzy Cognitive Maps Extensions and Learning
Get PDFFuzzy Cognitive Maps (FCM) is a soft computing technique whose vertices and edges are fuzzy values with an inference mechanism for solving modelling problems; it has been used in modelling complex systems like industrial and process control. The concept was first introduced in 1986, with an initial learning algorithm in 1996; several works have been published on FCM methodology, learnings and applications. Fuzzy cognitive maps continue to evolve both in theory, learning algorithms and application. Many theories like intuitionistic theory, hesitancy theory, grey system theory, wavelet theory, etc., are integrated with the conventional FCM. These extensions have improved Fuzzy cognitive Maps to handle problems of uncertainty, incomplete information, hesitancy, dynamic systems and probabilistic fuzzy events. They also strengthen fuzzy cognitive Maps’ modelling power for application in almost any domain. However, the compilation of the development in methodology and adaptation of FCM are either old or omitted some of the recent advances or focused on specific applications of FCM in some areas. This paper reports extension, learning and applications of FCM from the initial conventional FCM to recent extensions and some of the important features of those extensions and learning
Machine Learning-Based E-Archive for Archives Management of South Sumatra Province
Get PDFArchives play a crucial role in institutional operations, yet efficiently retrieving specific information from them can be challenging. This research addresses this issue by developing an information retrieval system that incorporates advanced methods to enhance search efficiency. The system employs the TF-IDF (Term Frequency-Inverse Document Frequency) formula, which assesses the significance of a word within a document set, and the BM25 method, a sophisticated algorithm for ranking documents based on their relevance to the input query. Both methods undergo a preprocessing stage, enabling the system to calculate the relevance of each document to the given query accurately. The effectiveness of this system is evaluated using key performance metrics: precision (accuracy), recall (completeness), and the F1 Score (the harmonic means of precision and recall, representing the best value). Testing with various keywords revealed that the BM25 method yielded impressive results, achieving an average precision of 0.75, recall of 0.6, and an F1 Score of 0.6665. In contrast, the TF-IDF method scored lower, with a precision of 0.33, recall of 0.2, and an F1 Score of 0.2500. The system was tested using a dataset of 350 documents
Design and Development of the Mobile-Based Hydroponic Planting Machine Application MyHydro
Get PDFIn the contemporary era, technological advancements have significantly impacted various aspects of human life, offering increased efficiency and convenience. Indonesia, aiming to enhance international competitiveness, recognizes the importance of integrating technological innovation across economic sectors. Despite its abundant natural resources, Indonesia's vital agricultural sector faces challenges, including the limited adoption of modern technology, resulting in suboptimal productivity. This study focuses on addressing these challenges by developing the MyHydro mobile application, utilizing IoT and Progressive Web App (PWA) technology to enable remote monitoring and control of hydroponic systems. The research methodology includes literature review, user requirement analysis, system design, and black-box testing. Results show that MyHydro successfully bridges the gap between traditional farming practices and modern technology. Users can efficiently monitor and control hydroponic systems, enhancing crop yields and promoting sustainability in Indonesian agriculture. In conclusion, MyHydro offers a valuable solution to modernize Indonesian farming, aligning with global trends in smart agriculture. It empowers farmers and contributes to the nation's agricultural growth
Designing Information Technology Governance in Trading Companies Using COBIT 2019 Framework
Get PDFMooi Brand Salatiga, a company in the clothing retail sector, has implemented various information systems (IS) to enhance its business processes. These systems include social media platforms such as WhatsApp, Instagram, and Facebook, a Sales Information System for cashiers, and a website. However, Mooi Brand Salatiga often encounters several challenges with the use of these IS, including the lack of system integration, an overreliance on current technology, and an inability to develop independent information systems. COBIT 2019, a systematic and comprehensive framework, offers potential solutions to support companies in efficiently managing and monitoring their information technology. This study leads to the development of an improved pattern for information technology management at Mooi Brand Salatiga, addressing these challenges and paving the way for enhanced operational efficiency and technological autonomy
The The Application of Artificial Intelligence and Machine Learning to Enhance Results-Based Management
No full textArtificial Intelligence (AI) and Machine Learning (ML) technologies have revolutionized numerous industries and sectors, offering transformative potential for Results-Based Management (RBM). RBM is a management paradigm wherein organizations and government entities plan and assess the effectiveness of their projects, policies, or programs in achieving outcomes. Integrating AI and ML into RBM can significantly enhance outcomes, fostering data-driven and informed decision-making. AI and ML integration into RBM practices facilitates improved decision-making, resource optimization, accountability, and transparency. These technologies enhance RBM by enabling predictive analytics, real-time monitoring, task automation, customization, and scalability. The dynamic synergy of AI and ML extends beyond RBM into sectors like agriculture, public health, academia, and public administration. Despite their immense potential, AI and ML tools face challenges such as perpetuating inaccuracies and biases due to inherent biases or low data quality. Nevertheless, their application in RBM empowers organizations to plan better, monitor, evaluate, and refine projects and programs, optimizing resource allocation and performance. Ongoing research, ethical considerations, data quality, and accountability are essential priorities for harnessing the full benefits of AI and ML in RBM. Therefore, this research paper investigates the potential of AI and ML tools and technologies in improving results-based management. It comprehensively reviews existing literature, practical applications, and case studies to elucidate how AI and ML can enhance results-based management practices and contribute to better decision-making
Prioritization Model for IT Project Portfolio Management in Private University: A Literature Review
Get PDFThe swift progress of technology can be harnessed to address the increasing demand for projects, particularly in various organizations like private universities that must cope with resource limitations and make critical decisions. Information Technology (IT) encompasses any technology, such as equipment or techniques, employed by businesses, institutions, or other organizations to process information, including computing, telecommunications technologies, consumer electronics, and broadcasting, as it increasingly digitizes. Choosing between dozens or hundreds of project alternatives presents complex multi-criteria decision-making problems for an organization's portfolio and priorities, necessitating clear-cut techniques, methods, and factor definitions for prioritizing decision-making. This literature review formulates the problem, specifically identifying the criteria for comparison and prioritization models, and seeks a framework and methodology for prioritizing portfolio management in private organizations, particularly universities. The literature review identifies the characteristics of private organizations and the methodologies and practices employed in researching the application of portfolio management priorities and explores the use of portfolio management techniques from prior studies tested in practice and project priority methodologies in private services. The results contribute to enhancing theories on techniques, methods, and, particularly, portfolio project management priorities for the private sector
Information System Project Development Management Ratio Set Assy GP Using Scrum Method
Get PDFIn April 2011, the term Industry 4.0 was introduced at the Hannover Fair. PT Yamaha Indonesia was an early adopter, implementing it in their piano manufacturing process. To achieve production targets, it is necessary to monitor the production series, including the assembly of piano components into a complete unit. SAP, a software platform, is used to improve efficiency, with one of its modules being K-STAFF, which has four derivative applications: K-Master, K-Ticket, K-Score, and K-Tiptop. However, the current production process is monitored through scanning input using a SAP derivative application, which is not visualized in the production area, leading to failed targets. To address this issue, a system is required to visualize input scan results to enable direct monitoring of the production process and achieve production targets. As a result, PT Yamaha Indonesia developed the Ratio Set Assy Grand Piano system using the SCRUM method. This system includes an MIS that monitors the ratio set of piano, visualized with Apache E-Charts, manages planning, and identifies priority spare parts in real-time. This research contributes to the development of a more efficient and effective production proces