Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control

Service Quality Analysis of Unej Digital Library Using M-S-QUAL and Importance Performance Analysis Methods

Beny Prasetyo, Firlia Dwi Cahya Ramadhani, Fajrin Nurman Arifin — Thu, 06 Jun 2024 00:00:00 +0000

A lot of library services are impacted by the expansion and advancement of information and communication technologies. With this modification, the traditional library services are now entirely digital. To carry out this digitalization, the Unej Digital Library (UnejDigiLib) application was created by the University of Jember's library. The purpose of developing this digital library application was to improve the effectiveness of library services, which were previously hindered by the COVID-19 epidemic. The UnejDigiLib developer has not yet evaluated the quality of its services since the application's release, therefore they are unsure of whether the current services satisfy user needs. Therefore, the goal of this study is to combine Mobile Service Quality (M-S-QUAL) and Importance Performance Analysis (IPA) in order to assess the UnejDigiLib service's quality based on user perceptions. The M-S-QUAL is used to determine service quality indicators and examine the gap between their performance and importance. After that, the service indications are mapped using the IPA based on their priority level. This study used the following six M-S-QUALl dimensions: compensation, privacy fulfillment, content, system availability, efficiency, and privacy. The findings indicate that user expectations have not been met by the UnejDigiLib service's performance. Meanwhile, the IPA analysis's findings indicate that the following indicators are found in quadrant 1: C3 (completeness of the book collection), C5 (suitability of the book collection with the curriculum lectures), C6 (updates to the book collection), and F3 (speed at which books download). This quadrant's indicators are the primary focus for improvement.

A Super Encryption Approach for Enhancing Digital Security using Column Transposition - Hill Cipher for 3D Image Protection

Lekso Budi Handoko, Chaerul Umam — Thu, 06 Jun 2024 00:00:00 +0000

Image encryption is an indispensable technique in the realm of information security, serving as a pivotal mechanism to safeguard visual data against unauthorized access and potential breaches. This study scrutinizes the effectiveness of merging columnar transposition with the Hill Cipher methodologies, unveiling specific metrics from a curated set of sample images. Notably, employing column transposition with the key "JAYA" and the Hill Cipher with the key "UDINUSSMG," the encrypted images underwent rigorous evaluation. 'Lena.png' demonstrated an MSE of 513.32 with a PSNR of 7.89 dB, while 'Peppers.png' and 'Baboon.png' recorded MSE values of 466.67 and 423.92, respectively, with corresponding PSNR figures of 7.12 dB and 7.31 dB. Across all samples, a consistent BER of 50.00% indicated uniform error propagation, while entropy values settled uniformly at 7.9999, highlighting consistent data complexity. While the findings underscore a consistent error rate and complexity, there's a compelling need for further refinement to enhance image quality and security. Moreover, the study proposes future research avenues exploring a three-layer super encryption paradigm, amalgamating columnar transposition, Hill Cipher, and other robust algorithms. This approach aims to fortify encryption methodologies against evolving threats and challenges in data protection, offering heightened resilience and efficacy in safeguarding sensitive information.

Spatial Interpolation Long-Term Patterns Capacity of Renewable Energy in Sumatera

Arie Vatresia, Etika Lestari, Ferzha Utama, Novalio Daratha — Thu, 06 Jun 2024 00:00:00 +0000

Indonesia possesses considerable capacity for renewable energy as a result of its plentiful natural resources, including geothermal, solar, wind, hydro, and biomass. Nevertheless, the nation's existing energy composition is predominantly dependent on non-renewable resources, with fossil fuels constituting approximately 95% of its overall energy consumption. Nevertheless, Indonesia has made notable advancements in augmenting its renewable energy output in recent years. Nevertheless, there is still a lack of clarity about the identification of suitable regions for the installation of solar power plants (PLTS) in order to facilitate the development of solar energy. This study employed a methodology to investigate and forecast the solar energy potential in Sumatra, Indonesia. The data utilized consists of MERRA-2 reanalyzing information spanning from 1980 to 2019, collected on a daily basis. The data is analyzed and shown using IDW (Inverse Distance Weighting) and ARIMA techniques to visualize the spatial variation of solar energy potential in Sumatra. ARIMA is employed as a supplementary method to the interpolation technique in order to get long-term projections of solar energy potential for the period spanning from 2020 to 2029. The analysis of the best interpolation method for estimating solar energy potential reveals that the IDW approach with a power of 5 yields the most accurate findings, with an RMSE value of 28.33. For long-term prediction of solar potential in Aceh province, the ARIMA (1,0,0) method is recommended, which has a MAPE value of 0.0219. The findings indicated that Lampung and Bengkulu frequently experience the distribution of solar energy with an intensity ranging from 1400 to 1450 kWh. In addition, the forecast of the potential over Sumatera Island yielded encouraging results using the GAM model, with a root mean square error (RSME) rate of 0.05103.

Metaverse Adoption in Public Sector: A Bibliometric Analysis

Adele Mailangkay, Darmawan Napitupulu — Thu, 06 Jun 2024 00:00:00 +0000

The objective of this study is to map the landscape and knowledge structure of the public sector metaverse through bibliometric analysis. Following this, a descriptive overview of the current state of public sector research related to the metaverse, including the leading ten authors and sources, most relevant keywords, and primary research topics, will be presented. The selection of the Scopus database was based on its status as the largest repository of its kind and its provision of an extensive compilation of abstracts and citations for peer-reviewed articles, proceedings, and journals. The initial search yielded 369 documents from Scopus; after eliminating duplicate and irrelevant articles, 354 documents remained. The results demonstrate the substantial development of the metaverse in the public sector, with an annual growth rate of 14.89%. This indicates that the adoption of virtual technology and the metaverse is gaining importance in the public sector. Castronova ranks first in terms of the quantity of studies published, with five articles, followed by De Kool and Zhang. "Metaverse," "virtual reality," and "virtual world" are the most pertinent keywords. Due to the extensive research that has been conducted on these phrases, they represent fundamental concepts in the field. Additional frequently occurring terms include "social networking (online)," "interactive computer graphics," "government data processing," and "internet." These terms underscore the significance of governance, human factors, technology, and data in shaping the trajectory of digital government services. They also exemplify the interdisciplinary character of metaverse applications within the public sector.