1 10 6 https://repository.horizon.ac.id/files/original/70693d901a999ac87f474de139f8a360.pdf 41d2896dd21335cca6554f548a8ac34a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enterprise Architecture Design in Sonic Advertising Company Using TOGAF Framework Subject The topic of the resource Advertising, Sonic Advertising, TOGAF Framework, Enterprise Architecture Description An account of the resource In the contemporary landscape of intense business competition, effective advertising is paramount for the successful introduction of products. This study delves into the realm of Sonic Advertising, a prominent advertising agency situated in Purwokerto, with a specific focus on its print media advertising services. Despite the prevalence of the information technology era, Sonic Advertising has not fully embraced enterprise architecture, persisting with a reliance on manual processes. The research employs the TOGAF (The Open Group Architecture Framework) framework as a comprehensive tool to scrutinize and model the business processes within Sonic Advertising. The primary aim is to assess the company's current utilization of information technology and provide strategic guidance for the implementation of enterprise architecture. By doing so, the study aspires to contribute insights that can significantly enhance operational efficiency, positioning Sonic Advertising competitively in the dynamic business landscape. As the research unfolds, it seeks to shed light on the potential benefits and challenges associated with adopting enterprise architecture, ultimately offering valuable recommendations for navigating the evolving advertising landscape. Creator An entity primarily responsible for making the resource Yudha Pratama1,*, Rusli Prasetya2, R Muhammad Rizki3, Laudiana Anggraeni4, Berliana Wahyu Pratiwi5, Laili Meizaroh6, Tarwoto7 Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/c06290b8a6601d7696edc46072df67a1.pdf 4ea1364958479562c5b170c895ed20b7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations Subject The topic of the resource Data Mining, Civil Aircraft, Direct Maintenance Cost Description An account of the resource The maintenance cost of civil aircraft plays a pivotal role in gauging both their maintainability and economic viability, constituting a substantial portion of overall operating expenses. With the burgeoning volume of aircraft operating data, data mining technology emerges as a powerful tool capable of extracting valuable insights. This research addresses the challenge of the limited availability of actual aircraft maintenance data during the developmental phase of civil aircraft. The study delves into the analysis and optimization of direct maintenance costs for civil aircraft through the application of data mining techniques. The investigation encompasses an exploration of the theoretical underpinnings of direct maintenance cost analysis using data mining, a comprehensive analysis of factors influencing the direct maintenance cost derived from data mining, and the establishment of a Direct Maintenance Cost (DMC) analysis method. Building upon this foundation, a model for the direct maintenance cost analysis of civil aircraft is formulated and fine-tuned to achieve the objective of cost reduction. The outcomes of this research hold significant implications for diminishing aircraft life cycle expenses, thereby enhancing the competitiveness of aircraft in the market. Creator An entity primarily responsible for making the resource Zhe Tian1,*, Zhonghui Lu2, Yakai Lu Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/50e078f4d7dcff0c1b1b60085ae821ef.pdf c0a41fb35c94243c9d24d8ad9c3cbce0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Evaluation of Service Quality Through ITIL V3 Framework in the Service Design Domain (Case Study: Lazada Application) Subject The topic of the resource Service Design, Information Technology, ITIL V3. Description An account of the resource In the era of globalization and business digitalization, improving the quality of customer service is a crucial aspect for company success. Companies that are able to provide optimal and responsive service tend to maintain customer satisfaction and compete effectively in an increasingly tight market. Therefore, the use of the Information Technology Infrastructure Library (ITIL) framework is a strong foundation for managing and improving service quality. This research focuses on analyzing service quality in the ITIL V3 Service Design domain, by applying this framework to a significant e-commerce application, namely Lazada. Lazada, as a leading platform in Southeast Asia, has been an example of providing superior customer experience through its services. This research explains the role of ITIL in managing service quality, with an emphasis on the Service Design domain. This study uses a combination of methods, including literature study, questionnaire survey of Lazada users, and observation of application infrastructure. The analysis results show that Lazada has reached a high level of maturity in ITIL V3 Domain Service Design, with all subdomains reaching maturity level 4. However, there is room for improvement, especially in information security. The conclusion shows that Lazada can continue to maintain customer satisfaction and competitiveness in a competitive market by continuing to improve service quality, especially in aspects found through gap analysis. Creator An entity primarily responsible for making the resource Nur Atika1,*, Rafian Tri Akso2, Arini Wulandari3, Fawaz Asyar Mubarok4, Indra Kurniawan Abdurrahman5, Dwi Wahyudi6, Tarwoto7 Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/a15da5c3d92173f115ef1e2977312447.pdf 1eb1f4e46138f305446c5b474210d111 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Factors Affecting Information System Security: Information Security, Cyber Threats and Attacks, Physical Security, and Information Technology (Literature Review) Subject The topic of the resource Information System Security, Cyber Threats and Attacks, Physical Security, Information Technology, Qualitative and Literature Review Description An account of the resource Information systems are very important to support various organizational and individual activities. Therefore, information system security is an important issue in today's digital era, where it is very important to pay attention to the protection of sensitive data and information. This research aims to identify and analyze factors that influence information system security. These factors include information system security, cyber threats and attacks, physical security, and information technology. Each factor is thoroughly analyzed to understand its impact on information system security. The results of this research will help improve our understanding of the factors that influence information system security. These findings can be used as a basis for creating effective security policies in protecting the information assets owned by the organization. By understanding these things, organizations can optimize their security efforts against the ever-evolving security threats in today's digital world. Creator An entity primarily responsible for making the resource Dwi Puji Lestari1,*, Andika Luthfi Citra Tama2, Siti Karlina3, Achmad Sultan4, Tarwoto5 Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/e0f6346f5bd82220174d00ffe6631fcf.pdf df3e4bd1a5f1151c5bac5ca23f886e76 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploring Transformer Life Forecasting through an In-Depth Analysis Utilizing the Random Forest Algorithm in Research and Development Subject The topic of the resource Predicted Lifetime, Random Forest, Transformer, Prediction Accuracy Description An account of the resource Accurately assessing the life and operating status of transformers has important guiding significance for the formulation of maintenance strategies for power grid companies, and at the same time plays a key role in the risk management of power grid companies. However, the traditional methods for predicting the remaining life of the equipment have the problems of insufficient accuracy or long data training time. In order to achieve a more accurate assessment of the life and status of the transformer, a random forest-based transformer life prediction method is constructed in this paper. Relying on the theory of big data analysis, by mining and analyzing the accumulated data of massive transformers, the life prediction model of the transformer is established and the characteristic parameters affecting the life of the transformer are extracted to predict the life of the transformer. The experimental data research demonstrates that the model can be accurate and effective Predicting the life of transformers has higher prediction accuracy than traditional methods, providing method references for asset management and risk management of power grid companies. Creator An entity primarily responsible for making the resource Lei Gan1,*, Hao Wu2, Manal A. Ismail3 Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/278d3aabb7ff2815d83fe3ec7a355185.pdf c4d5b67d685771ca3691669af697037a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 7 NO 1 JANUARY 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chord Recognition in Music Using a Robust Pitch Class Profile (PCP) Feature and Support Vector Machines (SVM) Subject The topic of the resource Robustness, PCP Feature, SVM, Music Chord Description An account of the resource Music serves as a powerful and immediate avenue for the expression of emotions, and a nuanced understanding of musical compositions is crucial for accurately interpreting and appreciating them. This research centers on the examination of robust Pitch Class Profile (PCP) features and Support Vector Machine (SVM) in the realm of music analysis. The initial phase of the study delves into the exploration of pertinent concepts and a myriad of resilient Constant-Q Transform (CQT) methods used in describing chord spectra for audio analysis. Subsequently, the paper elucidates the intrinsic correlation between SVM and speech tonality, outlining the design of a comprehensive system for music chord recognition. Rigorous testing of the system's performance follows, with a particular emphasis on evaluating the recognition rate. The results of these tests underscore the significant enhancement in music chord recognition achieved by the system, highlighting the pivotal role played by robust feature optimization and SVM pattern in bolstering its efficacy. This research not only contributes to the theoretical understanding of music analysis but also provides practical insights into improving the accuracy of music chord recognition systems through innovative feature selection and machine learning techniques. Creator An entity primarily responsible for making the resource Suwatchai Kamonsantiroj1,*, Lita Wannatrong2, Luepol Pipanmaekaporn3 Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text