Data Sorting Research Articles

Pengaruh Fasilitas Kamar dan Harga terhadap Kepuasan Tamu Menginap di Grand Bunda Hotel Bukittinggi

This examination is roused by protests about remaining visitor fulfillment which is affected by room offices and costs at Terrific Bunda Inn Bukittinggi. The reason for this study was to depict room offices and costs on visitor fulfillment and decide the impact of these three factors. The sort of examination utilized is quantitative with a clausal methodology. This exploration was led at Stupendous Bunda Lodging Bukittinggi. Testing in this review was utilizing purposive examining method non likelihood testing type. The sort of data in this study is significant data. This exploration instrument utilizes a study (survey) that has been finished with a Likert scale that has been tried for legitimacy and quality first. This information was dissected utilizing the SPSS form 22.00 program. The consequences of the review are Room Offices fall into a genuinely decent classification with a respondent accomplishment level of 57.65%, Costs with a respondent accomplishment level of 73.25% fall into a decent class and Visitor Fulfillment with a respondent accomplishment level of 75.17% with a decent class. The commitment of Room Offices (X1) and Value (X2) to Visitor Fulfillment (Y) is 16.6% while the excess 83.4% is affected by different elements.

E-taxonomy, Open Science, and FAIR Principles: A comparison of how taxon descriptions are computerized

Describing and naming are the first steps in a systematist's work in any biodiversity study. Comparing a single specimen with all the published descriptions is often a headache. The oldest solution to facilitate taxon identification was the creation of single-access identification keys. The first example of this is attributed to Lamarck (Lamarck et al. 1815). The first keys were, therefore, paper documents, mostly supplied with the monographs of the taxonomic groups concerned. Their creation and revision took a lot of time. The emergence of computers quickly became a means of facilitating the sorting and accessing of descriptive data. Since the 1960s, new key forms have emerged, as well as programs to assist identification (Goodall 1968, Pankhurst and Aitchison 1975). Descriptions need to be formalized and structured to be understandable by a computer. Thoughts on the structuring of descriptive data quickly emerged, working towards creating a standard. To address this, the Description Language for Taxonomy (DELTA) was ratified in 1986, followed by the SDD (Structured Descriptive Data) in 2005. The DELTA system relied on a data format closely tied to specific software programs. Any changes to the DELTA standard required corresponding modifications to a large amount of software code, making updates difficult. Alternative software packages using different data formats were developed but were not fully compatible with DELTA or with each other, preventing lossless data translation. To overcome these challenges, the SDD data standard was created as an implementation-independent format through international collaboration, allowing for extensibility without disrupting applications and ensuring continued support even if specific implementing programs were discontinued. Since the adoption of the SDD, numerous software programs and other projects have been developed to provide identification methods (e.g., XPER3, Lucid, AbaTax). Unfortunately, the SDD is not always used, as it may not fit in with the unique objectives of each of them. New tools with other structures and methods are emerging, which is great. However, in the context of FAIR data (Findable, Accessible, Interoperable, and Reusable digital assets), no longer using a standard seems to go against the flow. Have our needs changed? How to maintain models for sharing descriptive data that are structured enough to become knowledge allowing comparison, identification, data-mining, and analysis? To provide a starting point for thinking about the future of SDD, we present a comparison of several identification tools. The comparison focuses on their use of descriptors, items/taxa, identifiers, media, logical operators, their expression of doubt, polymorphism, and "multi-states," but also the files supported and the functionalities from the user's point of view.

Research on the Construction and Application of Knowledge Graph of Digital Resources in Vocational Colleges

<p>With the development of digital education, colleges and universities are facing challenges in managing and utilizing digital resources. As an effective way of knowledge organization and representation, Knowledge graph can transform digital resources into structured entities, attributes and relationship forms, and provide personalized learning support and resource recommendation. By analyzing the characteristics, construction status and existing problems of digital resources in vocational colleges, this paper puts forward the overall plan and methods of digital resources knowledge graph construction, including data collection and sorting, knowledge graph construction, verification and optimization, and gives the general process design of knowledge graph construction; Then, this paper discusses the typical application scenarios of digital resources knowledge graph in vocational colleges, such as learning resource recommendation, path planning, teaching assistance and resource sharing; Finally, the challenges in this field, including data quality, knowledge graph updating and maintenance, privacy and security, are discussed, and the future trends and research directions are prospected. The research results are of great significance for promoting the informatization and intelligent development of vocational college education.</p> <p> </p>

Fungsi Peristiwa pada Gastronomi Sastra dalam Dongeng Putri Lyla yang Sombong Karya Dyah Umi Purnama

Fairy tales are a means of assistance so messages can be conveyed to children. Indonesia is highlighting stunting. Stunting can be prevented if children and their parents are aware of the importance of nutritious food. Apart from being a basic need for human life, food is also a cultural construction and philosophy of life. Food should have a story about insight or background and goals, one of which is nutrition. The function of events in literary gastronomy in fairy tales is to provide information regarding the actions and events of a story. The presence of an event perspective in literary gastronomy provides an alternative understanding of stories. This study uses a literary gastronomic function research methodology. The source of the data in this study is the fairy tale Princess Lyla the Arrogant by Dyah Umi Purnama which was published in 2019. The data collection technique in this study used the read-note technique. Data analysis techniques are in the form of organizing and sorting data into patterns, categories, and basic descriptive units. Based on these events, it is found that the PLS story has an advanced plot. The main event in the tale is Princess Ghidzai who shows that eating tempeh does not make one stupid. While the supporting events are in the form of opposition from Princess Lyla to tempeh to the queens who provide expensive food. The function of this fairy tale event is to explain the concept of the events and actions of the characters in the fairy tale so that it can motivate readers (children and/or children's guardians) to be more respectful of food, find out food nutrition, and be creative with food

Sumpah Pemuda 1928: Reinterpretasi Perjuangan Pemuda Indonesia di Era Society 5.0

October 28, 1928 was a historic day for the Indonesian people. How could it not be, this moment marked the birth of a sacred and meaningful pledge from Indonesian youth known as the Youth Pledge. This study is interesting because recently Indonesian people, especially the millennial generation, tend to act individually. This is of course a problem because this nation needs collaborative work to become an advanced nation. This is of course a problem because this nation needs collaborative work to become an advanced nation. This research uses a qualitative approach. The research method is the historical method using four stages, namely, first, heuristics, collecting relevant data through literature reviews, and interviews. The second is criticism, selecting and sorting data according to needs. Third, interpretation, interpreting the selected data by giving meaning. The fourth is historiography, presenting or conveying the synthesis obtained in the form of a historical story. The results of the study illustrate that the pledge uttered by the youths in 1928 showed a knight's spirit. Inflame the spirit of national unity and integrity. Through the youth oath we are taught to respect differences both in ethnicity, culture, regional language and differences in interests to build harmonization within the framework of togetherness. Of course, if we learn from past events, the youth oath can be a lesson to strengthen the solidarity of young people to contribute to this nation.

A unified model of data uncertainty and data relation uncertainty

Data uncertainty (DU), one of the most interesting topics in information science, inevitably leads to data relation uncertainty (DRU). Moreover, DU greatly affects the results of information processing problems such as sorting and top-k queries with uncertain data. However, studies have not clarified the mechanism, mode, and degree of impact of DU on DRU. Hence, we established a unified mathematical model to reveal the precise relation between DU and DRU. The experimental results showed this model’s high accuracy under various conditions and its relative error and absolute error of less than 0.2%. This model can be used to quantitatively estimate DRU according to a given DU and vice versa. Unexpectedly, the experiments showed that under given conditions, high DU will not necessarily lead to high DRU. This characteristic is highly significant to the design of data sorting and query algorithms with uncertain data.

Motion-resolved four-dimensional abdominal diffusion-weighted imaging using PROPELLER EPI (4D-DW-PROPELLER-EPI).

To develop a distortion-free motion-resolved four-dimensional diffusion-weighted PROPELLER EPI (4D-DW-PROPELLER-EPI) technique for benefiting clinical abdominal radiotherapy (RT). An improved abdominal 4D-DWI technique based on 2D diffusion-weighted PROPELLER-EPI (2D-DW-PROPELLER-EPI), termed 4D-DW-PROPELLER-EPI, was proposed to improve the frame rate of repeated data acquisition and produce distortion-free 4D-DWI images. Since the radial or PROPELLER sampling with golden-angle rotation can achieve an efficient k-space coverage with a flexible time-resolved acquisition, the golden-angle multi-blade acquisition was used in the proposed 4D-DW-PROPELLER-EPI to improve the performance of data sorting. A new k-space and blade (K-B) amplitude binning method was developed for the proposed 4D-DW-PROPELLER-EPI to optimize the number of blades and the k-space uniformity before performing conventional PROPELLER-EPI reconstruction, by using two metrics to evaluate the adequacy of the acquired data. The proposed 4D-DW-PROPELLER-EPI was preliminarily evaluated in both simulation experiments and in vivo experiments with varying frame rates and different numbers of repeated acquisition. The feasibility of achieving distortion-free 4D-DWI images by using the proposed 4D-DW-PROPELLER-EPI technique was demonstrated in both digital phantom and healthy subjects. Evaluation of the 4D completeness metrics shows that the K-B amplitude binning method could simultaneously improve the acquisition efficiency and data reconstruction performance for 4D-DW-PROPELLER-EPI. 4D-DW-PROPELLER-EPI with K-B amplitude binning is an advanced technique that can provide distortion-free 4D-DWI images for resolving respiratory motion, and may benefit the application of image-guided abdominal RT.

ANALYSIS OF TCP FLOOD ATTACK USING NETFLOW

Traffic analysis is a common question for most of the production systems in various segments of computer networks. Attacks, configuration mistakes, and other factors can cause network increased accessibility and as a result danger for data privacy. Analyzing network flow and their single packets can be helpful for anomalies detection. Well-known network equipment has predeveloped network flow monitoring software. “NetFlow” data collector software “Nfsen” is an open-source way to collect information from agents. Also “Nfsen” is designed for data sorting and dataset for instruction detection system preparation. Prepared data can be split into fragments for artificial intelligent learning and testing. As AI unit can be used multilayer perceptron developed in a python programming language. This paper focused on real-world traffic dataset collection and multilayer perceptron deployment for TCP flood traffic detection.

Performance Analysis of Scheduling Algorithms on Fog Computing using YAFS

A smart device that has seen more development is the Internet of Things (IoT). An IoT system implementation requires a device that can accept and handle various sorts of data. Fog Computing is a solution to the issue since the IoT demands a device that can provide Real-Time. Certainly, load balancing involves scheduling the IoT devices and data used. Because Cloud and Fog Computing models enable data growth management and deployment planning, which necessitate a quicker response from platforms and applications, processing power scheduling is essential. The purpose of this study is to evaluate the performance of effective scheduling algorithms that adhere to these computing models platform requirements. The scheduling algorithm that can produce the lowest Processing Time and the resulting Time Efficiency is more efficient can be called the best scheduling algorithm. In this research, the author analyzes the performance of scheduling algorithms in the form of Round Robin and Priority Scheduling on Fog Computing. In this research, testing was carried out by creating a scenario of the effect of increasing the number of Fog Nodes and Devices used. The average result of scenario testing obtained for processing time for Round Robin is lower, and the highest Time Efficiency for Round Robin over Priority Scheduling is 11%. With these test results, the Round Robin scheduling algorithm has a simpler level of complexity. So, it can be concluded that Round Robin belongs to the category of the best scheduling algorithm in this case.

Microglial MHC-I induction with aging and Alzheimer's is conserved in mouse models and humans.

Major histocompatibility complex I (MHC-I) CNS cellular localization and function is still being determined after previously being thought to be absent from the brain. MHC-I expression has been reported to increase with brain aging in mouse, rat, and human whole tissue analyses, but the cellular localization was undetermined. Neuronal MHC-I is proposed to regulate developmental synapse elimination and tau pathology in Alzheimer's disease (AD). Here, we report that across newly generated and publicly available ribosomal profiling, cell sorting, and single-cell data, microglia are the primary source of classical and non-classical MHC-I in mice and humans. Translating ribosome affinity purification-qPCR analysis of 3-6- and 18-22-month-old (m.o.) mice revealed significant age-related microglial induction of MHC-I pathway genes B2m, H2-D1, H2-K1, H2-M3, H2-Q6, and Tap1 but not in astrocytes and neurons. Across a timecourse (12-23m.o.), microglial MHC-I gradually increased until 21m.o. and then accelerated. MHC-I protein was enriched in microglia and increased with aging. Microglial expression, and absence in astrocytes and neurons, of MHC-I-binding leukocyte immunoglobulin-like (Lilrs) and paired immunoglobin-like type 2 (Pilrs) receptor families could enable cell -autonomous MHC-I signaling and increased with aging in mice and humans. Increased microglial MHC-I, Lilrs, and Pilrs were observed in multiple AD mouse models and human AD data across methods and studies. MHC-I expression correlated with p16INK4A, suggesting an association with cellular senescence. Conserved induction of MHC-I, Lilrs, and Pilrs with aging and AD opens the possibility of cell-autonomous MHC-I signaling to regulate microglial reactivation with aging and neurodegeneration.

GreenPy: Evaluating Application-Level Energy Efficiency in Python for Green Computing

The increased use of software applications has resulted in a surge in energy demand, particularly in data centers and IT infrastructures. As global energy consumption is projected to surpass supply by 2030, the need to optimize energy consumption in programming has become imperative. Our study explores the energy efficiency of various coding patterns and techniques in Python, with the objective of guiding programmers to a more informed and energy-conscious coding practices. The research investigates the energy consumption of a comprehensive range of topics, including data initialization, access patterns, structures, string formatting, sorting algorithms, dynamic programming and performance comparisons between NumPy and Pandas, and personal computers versus cloud computing. The major findings of our research include the advantages of using efficient data structures, the benefits of dynamic programming in certain scenarios that saves up to 0.128J of energy, and the energy efficiency of NumPy over Pandas for numerical calculations. Additionally, the study also shows that assignment operator, sequential read, sequential write and string concatenation are 2.2 times, 1.05 times, 1.3 times and 1.01 times more energy-efficient choices, respectively, compared to their alternatives for data initialization, data access patterns, and string formatting. Our findings offer guidance for developers to optimize code for energy efficiency and inspire sustainable software development practices, contributing to a greener computing industry.

Resistensi Perempuan Terhadap Ketidakadilan Gender Pada Novel Perempuan Yang Menangis Kepada Bulan Hitam Karya Dian Purnomo

This research discusses about the problem of resistance to gender injustice in Dian Purnomo's novel Perempuan yang Menangis kepada Bulan Hitam (PMBH). This study aims to describe and interpret the forms of resistance of women who experience gender injustice and to understand the forms of gender injustice experienced by these female characters. The method used in this study is descriptive qualitative by utilizing feminist literary criticism theory. Data sources are obtained from the entire contents or chapters of the PMBH novel. Data collection techniques using reading and note techniques. The data validity technique of this research is triangulation. The steps in analyzing are: 1) reading the PMBH novel; 2) determine the research focus; 3) marking important parts; 4) sorting data; 5) describe forms of gender inequality and forms of women's resistance; and 6) make conclusions. The results of the analysis show that the forms of gender injustice experienced by the character Magi Diela as the main character and other female characters as subordinate figures are in the form of marginalization, stereotypes, violence, workload, and subordination. The forms of resistance carried out by the character Magi Diela as the main character and other female subordinate figures are in the form of 1) actions and 2) thoughts.

Implementation of the Design for Change (DFC) Method through Project-Based Learning in Developing Intrapersonal and Interpersonal Skills of Islamic Religious Education Students

Purpose – This study aims to describe the implementation of the Design for Change (DFC) method in the Softskill Education course to improve the soft skills of PAI students at UIN Sunan Kalijaga. One of the reasons for the moral and character crisis that occurs among students is the lack of maximum internalization of values in learning. Aspects of affection should be accommodated to develop honest, tolerant, adaptive attitudes, and a number of other attitudes. This is where it is important to carry out soft skills learning for PAI teacher candidates with a project-based learning approach, in order to be able to improve personal and social competence, and in the future be able to apply this method to future students. Design/methods/approach – This study uses a qualitative approach with a descriptive method, where the researcher attempts to describe the process and results of the application of the DFC method. Researchers conducted a series of techniques in data collection, there are observation, documentation, and interviews. The research instrument is the researcher himself. Determination of sample data sources using a purposive sampling technique. Data analysis was carried out descriptively, where the data that had been collected was critically analyzed in depth by means of data triangulation with the steps of data collection, data sorting, data presentation, and conclusion presentation. Findings – The results of this study indicate that the implementation of the DFC method, with four-step formulations namely FIDS (Feel, Imagine, Do, and Share) is considered quite effective in improvthe ing soft skills of PAI students. So far, no research has been conducted using this method to be applied to PAI students, so the results of this study are considered important as an effort to equip attitude competence to prospective PAI teachers. Soft skills developed by students include intrapersonal and interpersonal skills, including; confidence, leadership, self and time management, adaptability, and public speaking. Even though there are several obstacles in its application, related to the cycle being too short, and the lack of student motivation, all respondents said that the benefits of this method can be felt and applied in a sustainable manner. Research implications/limitations – The data sources are limited to the students of PAI at UIN Sunan Kalijaga class of 2018 who in 2021 are taking Softskill Education courses.

A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)

Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, the Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, due to the insufficient study of long-term carbon and water fluxes in the paddy areas of the Liaohe River Delta, there is an urgent need of long-term data monitoring and sorting. This dataset collects the observations of the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020 from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), we prepared standardized data files for the dataset of water fluxes of ecosystem carbon and key meteorological elements, including data files at hourly, daily, monthly and yearly scales. This dataset is of great significance for the accurate evaluation of the position and role of carbon and water fluxes of paddy field ecosystems in the regional and global carbohydrate circle in the Liaohe River Delta.

An dataset of carbon and water fluxes over the reed wetlands in Panjin City (2018–2020)

With significant carbon sink capacity, active water vapor exchange and heat regulation capacity, wetlands are key ecosystems for stabilizing greenhouse gas emissions and mitigating climate change. Despite Liaohe Delta wetland being the largest warm temperate coastal wetland in Asia, its long-term carbon and water fluxes of the wetland are still not thoroughly examined, which limits the accuracy of simulating CO2 fluxes and regional carbon sinks. As a result, it is urgent to carry out long-term data monitoring and sorting in this area. This dataset is the flux data of the reed wetland ecosystem in Liaohe Delta from 2018 to 2020, collected from the Panjin Reed Wetland Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of China Flux Observation and Research Network (ChinaFLUX), we established the standardized dataset of ecosystem carbon and key meteorological elements, including data files at half-hourly, daily, monthly and yearly scales. This dataset is of great significance in accurately evaluating the status and roles of carbon and water fluxes in the reed wetland ecosystem of Liaohe Delta in the regional and global carbon and water cycles.

Seismic amplification factors for low plasticity medium-stiff soil deposits

The seismic response of low plasticity medium-stiff soil deposits has been investigated through non-linear one-dimensional analyses carried out with reference to a set of 30 soil profiles, with bedrock depths varying in the range 20–60 m. More than 300 horizontal acceleration time histories recorded on almost flat rock outcropping sites have been used as input motions with amplitude, energy and frequency content varying in wide intervals, which should lead to outcomes of general validity. In the modelling of soil hysteretic behaviour, the backbone curve was described by a modified hyperbolic model calibrated against well-established stress-dependent relationships describing the variation of shear modulus and damping with the strain level. The analysis results show that the stratigraphic amplification factor is significantly influenced by the peak outcrop acceleration and bedrock depth while it is almost unaffected by magnitude sorting of the data; accordingly, original empirical predictive models have been proposed to estimate the stratigraphic amplification factor as a function of the peak outcrop acceleration and bedrock depth. Also, it has been demonstrated that, regardless of the amplitude of the input motion and whatever is the sorting of data with reference to magnitude and bedrock depth, a direct proportionality exists between the stratigraphic and the spectral amplification factors, implying an almost constant value of the spectral shape ratio. Finally, the relevance of using stress-dependent shear modulus and damping curves has been pointed out to allow a reliable evaluation of the stratigraphic and spectral amplifications.

Manajemen Pengelolaan Wisata Sumber Jiput

Tourism is an integral part of human life, especially regarding socio-economic activities. Sumber Jiput Tourism is a tour that still exists and is still visited by many people. The role of the local community in the management of the Jiput source tourism object is very important for the continuation of tourism and tourists. The Karang Taruna community is the manager as well as the tourism cultivator. With the times and also the existence of assistance from the Kediri government's youth tourism culture and sports department, the management of the Jiput source tourism continues to improve ideas to further develop it to become even more interesting and better. Because the source of Jiput is well-known as a water source destination whose existence is still very prominent among the people of Kediri. Management that is still lacking and has not been implemented properly must be repaired immediately. The research method used is descriptive qualitative. Determination of informants using purposive sampling, namely representative. There are two types of data sources, namely primary data sources and secondary data. Data collection techniques are in-depth interviews, observation, documentation. The way to analyze the data is data sorting, data presentation and integrated enumeration. The results of the study show that the management of marketing, human resources and finance is currently running well, so that it influences the existence of this Jiput tourism source.

Internet of Things-based Cow Body Weight Recording System

Internet of Things (IoT) can be applied to various aspects, especially it can be used as a system for recording, storing, sorting, and processing data. This application can be used in a cattle body weight recording system. Recording is all types of record activities such as identification activities, genealogical records, production and reproduction records, maintenance management records and livestock health records in certain populations. In the process of fattening cattle, recording is an essential activity, but in a survey conducted at the Sumber Sekar laboratory of the Faculty of Animal Husbandry, Universitas Brawijaya, a problem was found, namely the availability of cattle scales for the recording process. For this reason, an internet of things-based cow body weight recording system was designed. The internet of things-based cow body weight recording system uses 2 Load Cell sensors to weigh the cow's body weight and an RFID sensor to read the cow's identity, in addition to the sensor the system has a website as a user interface. It is hoped that this application can improve the efficiency of the cow body weight recording process and produce an intelligent tool system.

Optimasi Pengurutan Data Bilangan dengan Menggabungkan Algoritma Selection Sort Hybrid dan Bucket Sort

Sorting algorithms are crucial in data processing, particularly for integer data. However, as the number of integers to be sorted increases, the sorting algorithm takes longer to complete, especially for algorithms with O(n2) complexity. This article discusses optimizing integer data sorting by combining the Selection Sort Hybrid and Bucket Sort algorithms. The study aims to test the performance of the Selection Sort Hybrid and Bucket Sort algorithms and compare them with other data sorting algorithms. The research method used is experimental quantitative research, using randomly generated data using Python. The data were tested using the Combined Selection Sort Hybrid with Bucket Sort algorithm, Selection Sort Hybrid, Quick Sort, and Merge Sort. Data analysis was done by calculating the execution time of each sorting algorithm. The results show that the Selection Sort Hybrid and Bucket Sort algorithms are faster than other sorting algorithms in testing with large and complex integer data. Therefore, combining Selection Sort Hybrid and Bucket Sort algorithms can improve the efficiency and speed of sorting complex integer data.

Target Detection-Based Control Method for Archive Management Robot.

With increasing demand for efficient archive management, robots have been employed in paper-based archive management for large, unmanned archives. However, the reliability requirements of such systems are high due to their unmanned nature. To address this, this study proposes a paper archive access system with adaptive recognition for handling complex archive box access scenarios. The system comprises a vision component that employs the YOLOV5 algorithm to identify feature regions, sort and filter data, and to estimate the target center position, as well as a servo control component. This study proposes a servo-controlled robotic arm system with adaptive recognition for efficient paper-based archive management in unmanned archives. The vision part of the system employs the YOLOV5 algorithm to identify feature regions and to estimate the target center position, while the servo control part uses closed-loop control to adjust posture. The proposed feature region-based sorting and matching algorithm enhances accuracy and reduces the probability of shaking by 1.27% in restricted viewing scenarios. The system is a reliable and cost-effective solution for paper archive access in complex scenarios, and the integration of the proposed system with a lifting device enables the effective storage and retrieval of archive boxes of varying heights. However, further research is necessary to evaluate its scalability and generalizability. The experimental results demonstrate the effectiveness of the proposed adaptive box access system for unmanned archival storage. The system exhibits a higher storage success rate than existing commercial archival management robotic systems. The integration of the proposed system with a lifting device provides a promising solution for efficient archive management in unmanned archival storage. Future research should focus on evaluating the system's performance and scalability.