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Journal articles on the topic 'Service stacking'

Author: Grafiati

Published: 24 June 2021

Last updated: 29 July 2025

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1

Wahyuni, Nurul, and Raudatul Husna. "Pendampingan belajar operasi hitung menggunakan metode bersusun." Al-Azkiya: Jurnal Pendidikan MI/SD 8, no. 1 (2023): 76–89. https://doi.org/10.32505/azkiya.v8i1.6471.

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The use of the stacking method can improve students' abilities and make it easier for students to do multiplication calculation operations. The purpose of this community service activity is to increase students' assistance in completing integer multiplication calculation operations using the stacking method so that students can easily understand the material presented. Based on the assistance activities that have been carried out during the service activities, the results obtained those students can more easily understand multiplication by using the stacking method, the stacking method is prov

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Ramos, Sara D. S., and Rudi Coetzer. "The Measure of an Outcome: Comparing Norming and Stacking to Benchmark the Effectiveness of Brain Injury Rehabilitation Services." Behavioral Sciences 13, no. 9 (2023): 705. http://dx.doi.org/10.3390/bs13090705.

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Practitioners have a clinical, ethical, academic, and economic responsibility to dispassionately consider how effective their services are. Approaches to measure how “good” or “bad” healthcare is include clinical audit, satisfaction surveys, and routine outcome measurement. However, the process of comparing the clinical outcomes of a specific service against the ‘best’ services in the same specialism, also known as benchmarking, remains challenging, and it is unclear how it affects quality improvement. This paper piloted and compared two different approaches to benchmarking to assess clinical

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., Nuh, and Sugeng Santoso. "An Uplifted over Logistics Costs Efficiency by the Hub and Spoke System at Cikarang Dry Port." International Journal of Innovative Science and Research Technology 5, no. 7 (2020): 123–32. http://dx.doi.org/10.38124/ijisrt20jul084.

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This research aimed to discovered and analyzed those efficiency of logistics costs by hub and spoke system at Cikarang dry port that provides ports which included logistics services with logistics companies and supply chains so it would contributes to reducing logistics costs and dwelling time at Tanjung Priok Port. This research uses Factor Analysis and AHP (Analitycal Hierarchy Process) method as a method to find out all factors which influence most towards logistics performance and how to reduce those logistics costs at Cikarang Dry Port. Factor Analysis result starting from 14 elements int

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Brogan, Paul Vincent, Robert Best, John Morrow, Robin Duncan, and Marek Kubik. "Stacking battery energy storage revenues with enhanced service provision." IET Smart Grid 3, no. 4 (2020): 520–29. http://dx.doi.org/10.1049/iet-stg.2018.0255.

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Spiller, Matteo, Giuliano Rancilio, Filippo Bovera, et al. "A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing." Energies 16, no. 18 (2023): 6546. http://dx.doi.org/10.3390/en16186546.

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This paper presents a parametric procedure to size a hybrid system consisting of renewable generation (wind turbines and photovoltaic panels) and Battery Energy Storage Systems (BESS). To cope with the increasing installation of grid-scale BESS, an innovative, fast and flexible procedure for evaluating an efficient size for this asset has been developed. The tool exploits a high-fidelity empirical model to assess stand-alone BESS or hybrid power plants under different service stacking configurations. The economic performance has been evaluated considering the revenue stacking that occurs when

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Rancilio, Giuliano, Filippo Bovera, and Marco Merlo. "Revenue Stacking for BESS: Fast Frequency Regulation and Balancing Market Participation in Italy." International Transactions on Electrical Energy Systems 2022 (June 28, 2022): 1–18. http://dx.doi.org/10.1155/2022/1894003.

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Battery energy storage systems (BESS) are considered a relevant flexible resource for supporting the balancing of a RES-penetrated power grid. Since their cost structure is characterized by very high capital costs, it is of utmost importance to ensure efficient and effective operations from a techno-economic perspective. The possibility of services (and revenues) stacking is one of the most discussed optimization solutions. The present work provides a novel approach for BESS modeling, including the stacking of two diverse ancillary services, a dedicated balancing market bidding model, and a st

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Astari, Mardhiyah Ayu, Mohammad Masykuri, Endang Susilowati, and Sri Yamtinah. "Effectiveness of Online Learning with the Web-based TPACK Scaffolding for Enhancement TPACK Ability of Pre-service Chemistry Teachers." Journal of Curriculum and Teaching 12, no. 1 (2023): 183. http://dx.doi.org/10.5430/jct.v12n1p183.

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This study investigates the effectiveness of web-based TPACK scaffolding to enhance the TPACK ability of pre-service chemistry teachers through online learning. Participants in this study were 74 pre-service chemistry teachers in Chemistry Education program who took a chemistry learning planning course. This study used the quantitative research method approach. The experimental study with pre-and post-test design examined the more significant increase in TPACK ability between the experimental and control classes. The research instrument consisted of 20 multiple-choice questions containing the

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Ismail, Alya Nadhirah binti, Mirta Widia, Ezrin Hani binti Sukadarin, Wan Norlinda Roshana Binti Mohd Nawi, and Mohammad Faizal bin Zainal Abidin. "Ergonomic Risk Assessment of Warehouse Workers in the Courier Service Industry: A Case Study from Kuantan, Malaysia." Jurnal Optimasi Sistem Industri 23, no. 1 (2024): 61–75. http://dx.doi.org/10.25077/josi.v23.n1.p61-75.2024.

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The global surge in demand for courier services has introduced both benefits and challenges. Courier workers face immense pressure to handle large volumes of orders, leading to increasing cases of health and occupational injuries. The lack of ergonomic interventions in their work highlights the urgent need for ergonomic assessments in the courier industry. In Malaysia, current ergonomic risk assessments for warehouse courier workers are insufficient, making it essential to identify prevalent musculoskeletal disorders (MSDs) and determine the associated risk factors and levels posed by their da

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Didier, Dorian, та Emmanuelle Schulz. "π-Stacking interactions at the service of [Cu]-bis(oxazoline) recycling". Tetrahedron: Asymmetry 24, № 12 (2013): 769–75. http://dx.doi.org/10.1016/j.tetasy.2013.05.008.

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Hjalmarsson, Johannes, Karin Thomas, and Cecilia Boström. "Service stacking using energy storage systems for grid applications – A review." Journal of Energy Storage 60 (April 2023): 106639. http://dx.doi.org/10.1016/j.est.2023.106639.

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Park, Uyeol, Yunho Kang, Haneul Lee, and Seokheon Yun. "A Stacking Heterogeneous Ensemble Learning Method for the Prediction of Building Construction Project Costs." Applied Sciences 12, no. 19 (2022): 9729. http://dx.doi.org/10.3390/app12199729.

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The accurate cost estimation of a construction project in the early stage plays a very important role in successfully completing the project. In the initial stage of construction, when the information necessary to predict construction cost is insufficient, a machine learning model using past data can be an alternative. We suggest a two-level stacking heterogeneous ensemble algorithm combining RF, SVM and CatBoosting. In the step of training the base learner, the optimal hyperparameter values of the base learners were determined using Bayesian optimization with cross-validation. Cost informatio

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Sahllal, Nadir, and El Mamoun Souidi. "Click fraud prediction by stacking algorithm." Intelligenza Artificiale 17, no. 1 (2023): 131–41. http://dx.doi.org/10.3233/ia-221069.

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Click fraud is the sort of deception in which traffic figures for online ads are intentionally inflated. For businesses that advertise online, click fraud may occur often, resulting in erroneous click statistics and lost funds. That is why many businesses are hesitant to advertise their products on websites and mobile apps. To market their products safely, businesses need a reliable technique for detecting click fraud. In this paper we present a stacking algorithm as a solution to this problem. The proposed method’s premise is to combine multiple learners to achieve an optimal result. The Synt

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Xiao, Ruya, Chen Yu, Zhenhong Li, Chuang Song, and Xiufeng He. "General Survey of Large-scale Land Subsidence by GACOS-Corrected InSAR Stacking: Case Study in North China Plain." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 213–18. http://dx.doi.org/10.5194/piahs-382-213-2020.

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Abstract. Satellite-based InSAR (Interferometric Synthetic Aperture Radar) provides an effective way to measure large-scale land surface motions. Currently, the atmospheric phase delay is one of the most critical issues in InSAR deformation monitoring. Generic Atmospheric Correction Online Service (GACOS) is a free, globally available and easy-to-implement tool to generate high-resolution zenith total delay maps, which could be used for InSAR atmospheric delay correction. The mean velocity could then be estimated by stacking multiple GACOS-corrected interferograms. We applied the proposed GACO

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Molloy, Carly, Meredith O'Connor, Shuaijun Guo, et al. "Potential of ‘stacking’ early childhood interventions to reduce inequities in learning outcomes." Journal of Epidemiology and Community Health 73, no. 12 (2019): 1078–86. http://dx.doi.org/10.1136/jech-2019-212282.

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BackgroundEarly childhood interventions are critical for reducing child health and development inequities. While most research focuses on the efficacy of single interventions, combining multiple evidence-based strategies over the early years of a child’s life may yield greater impact. This study examined the association between exposure to a combination of five evidence-based services from 0 to 5 years on children’s reading at 8–9 years.MethodsData from the nationally representative birth cohort (n=5107) of the Longitudinal Study of Australian Children were utilised. Risk and exposure measures

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Hoang Hai, Tran, Le Huy Hoang, and Eui-nam Huh. "Network Anomaly Detection based on Late Fusion of Several Machine Learning Algorithms." International journal of Computer Networks & Communications 12, no. 6 (2020): 117–31. http://dx.doi.org/10.5121/ijcnc.2020.12608.

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Today's Internet and enterprise networks are so popular as they can easily provide multimedia and ecommerce services to millions of users over the Internet in our daily lives. Since then, security has been a challenging problem in the Internet's world. That issue is called Cyberwar, in which attackers can aim or raise Distributed Denial of Service (DDoS) to others to take down the operation of enterprises Intranet. Therefore, the need of applying an Intrusion Detection System (IDS) is very important to enterprise networks. In this paper, we propose a smarter solution to detect network anomalie

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Rashid, Md Mamunur, Joarder Kamruzzaman, Mohammad Mehedi Hassan, Tasadduq Imam, and Steven Gordon. "Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques." International Journal of Environmental Research and Public Health 17, no. 24 (2020): 9347. http://dx.doi.org/10.3390/ijerph17249347.

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In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers’ quality of services and people’s wellbeing and quality of life. With the growth of smart city networks, however, comes the increased risk of cybersecurity threats and attacks. IoT devices within a smart city network are connected to sensors linked to large cloud servers and are exposed to malicious attac

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Bahagianti, Wenny Yovi, Otri Wani Sihaloho, Dyah Ratnaningsih, and Jose Beno. "ANALYSIS OF THE SUCCESS LEVEL OF DIRECT DISCHARGE QUARANTINE ON THE AMOUNT OF TARIFF TO BE PAID BY SERVICE USERS AT INDONESIAN CONTAINER TERMINAL COMPANY." Jurnal Maritim Malahayati 5, no. 2 (2024): 193–201. https://doi.org/10.70799/jumma.v5i2.83.

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Direct Discharge Quarantine is a code at Indonesian Container Terminal Company for the activity of unloading imported containers that have received a quarantine inspection flag by direct dischrage (direct unloading) to the quarantine inspection block (TPFT-Karantina). Accelerating the movement of containers during Direct Discharge Quarantine is very important in reducing the high stacking rates that must be paid by service users. This research aims to determine the percentage success rate of Direct Discharge Quarantine, determine the factors that hinder the success rate of Direct Discharge Qua

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Uskenat, Kristina, Merta Simbolon, and Tutik Yuliatun. "Susun Kata Tingkatkan Literasi: Pelatihan Kreatif bagi Anak-Anak Kampung Onggatmit." Prima Abdika: Jurnal Pengabdian Masyarakat 4, no. 4 (2024): 755–62. http://dx.doi.org/10.37478/abdika.v4i4.4755.

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The quality of education in Indonesia is still low, one of the causes is the low ability to read, in this case reading literacy and critical thinking skills, especially in children. This is based on data that Papua Province ranks last with a score of 19.90 which shows a very low category. Onggatmit Village is one of the villages in Merauke, South Papua Province with many children who are still unable to read and even recognize letters and numbers. Basic literacy needs to be applied early in primary school-age children when brain development can still be shaped. Due to conditions that cannot ga

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Pan, Minghui, Qiguang Wang, Shan Jiang, and Liangdong Zuo. "Analysis of Interaction between Pile Foundation and Reinforced Earth Embankment under Surcharge Loading Considering Time-Effect Characteristics." Journal of Civil and Transportation Engineering 1, no. 3 (2024): 74–80. https://doi.org/10.62517/jcte.202406312.

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For the bridge pile foundation built on the embankment filled with reinforced earth, the timely lateral deformation of the fill induced by the stacking load on the embankment can exert additional load on the pile side. The longer the stacking time, the greater the effect of the additional load, which leads to the additional deformation and internal force of the pile body, and further reduces the service performance of the pile foundation. Based on the pile foundation in the filling area of a section of Chengnan Expressway in Chongqing, a 1: 20 model test of pile-foundation was carried out indo

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Ali, Tariq Emad, Yung-Wey Chong, Selvakumar Manickam, Mohd Najwadi Yusoff, Kok-Lim Alvin Yau, and Alwahab Dhulfiqar Zoltan. "A Stacking Ensemble Model with Enhanced Feature Selection for Distributed Denial-of-Service Detection in Software-Defined Networks." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19232–45. https://doi.org/10.48084/etasr.8976.

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The proliferation of Distributed Denial of Service (DDoS) attacks poses a significant threat to network accessibility and performance. Traditional feature selection methods struggle with the complexity of network traffic data, leading to poor detection performance. To address this issue, a Genetic Algorithm Wrapper Feature Selection (GAWFS) is proposed, integrating Chi-squared and Genetic Algorithm (GA) approaches with a correlation method to select the most correlated features. GAWFS effectively reduces feature dimensions, eliminates redundancy, and identifies crucial and correlated features

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Yin, Zi Qiang, Guang Jun Zhang, Hui Hui Zhao, and Lin Wu. "Rapid Manufacturing and Remanufacturing System Based on Robotic GMAW." Advanced Materials Research 156-157 (October 2010): 1626–29. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.1626.

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This paper describes a novel rapid manufacturing and remanufacturing system based on robotic gas metal arc welding. If worn parts are maintainable, this system play a repairer role; if worn parts are unfit to remain in service, this system play a manufacturer role. This system works in ‘modeling - slicing - stacking’ principle. First, Detecting and building three-dimensional models of damaged zone by structured light. Second, Slicing established three-dimensional model in layers with some thickness. Third, planning robotic tool path to get optimumwelding path and parameters. Finally, executing

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Padikkapparambil, Jinesh, Cornelius Ncube, Firoz Khan, Lakshmana Kumar Ramasamy, and Yomiyu Reta Gashu. "Novel Stacking Classification and Prediction Algorithm Based Ambient Assisted Living for Elderly." Wireless Communications and Mobile Computing 2022 (June 18, 2022): 1–19. http://dx.doi.org/10.1155/2022/5728880.

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Recognition of human activity is a significant area of research with numerous uses. In developed countries, the rising age of citizens requires the improvement of the medical service structure, which raises the price of resources, both financial and human. In that sense, ambient assisted living (AAL) is a relatively novel information and communication technology (ICT) that presents services and recognizes various products that enable older people and the disabled to live autonomously and improve their quality of life. It further assists in reducing the cost of hospital services. In the AAL env

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Lu, Haohui, and Shahadat Uddin. "Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients." Information 13, no. 9 (2022): 436. http://dx.doi.org/10.3390/info13090436.

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Artificial intelligence is changing the practice of healthcare. While it is essential to employ such solutions, making them transparent to medical experts is more critical. Most of the previous work presented disease prediction models, but did not explain them. Many healthcare stakeholders do not have a solid foundation in these models. Treating these models as ‘black box’ diminishes confidence in their predictions. The development of explainable artificial intelligence (XAI) methods has enabled us to change the models into a ‘white box’. XAI allows human users to comprehend the results from m

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Richa Yohana Rusli Siahaan, Dr.Ir. Martono Anggusti, Dr.Ir. Martono Anggusti, S.H.,M.H.,M.M, and Jinner Sidauruk, S.H.,M.Hum. "Legal Analysis of the Responsibility of Expedition Companies X to Service Users Goods that are Damaged or Lost During Stacking in the Stacking Field." Journal of Law, Politic and Humanities 5, no. 2 (2025): 1216–24. https://doi.org/10.38035/jlph.v5i2.1278.

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Sea transportation plays a very important role in international trade as one of the main components in the process of distributing goods. Nonetheless, the losses incurred in sea transportation activities are often greater than the losses caused by the transportation process itself, such as damage, shortages, and loss of goods that can occur during the process of unloading goods at the port by freight forwarding companies by sea. This study aims to analyze the limits of obligations and legal relationships between freight forwarding companies, carriers, and sea freight forwarding companies in th

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Lv, Zhixing, Sijin Cheng, Yi Wang, Shenzheng Wang, Xinyi Li, and Ran Ran. "Combining Daily Electricity Forecasts Based on DBSCAN and Stacking Fusion." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14, no. 7 (2021): 767–77. http://dx.doi.org/10.2174/2352096514666211018124044.

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Background: Modern upgrades of power grids and a rapidly expanding economy complexify the uncertainties of electricity demand. Objective: The objective of the study is to have a more precise prediction on the demand side, which is beneficial in affirming the stable operation of the power system. Methods: This paper presents a combined electricity forecasting method based on the users clustering and stacking ensemble learning to mine underlying properties of different individual consumers. The preprocessed electricity consumption profiles are inputted into the DBSCAN clustering algorithm to obt

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Denas, Molia. "Imported Goods Distribution Analysis Through the Expedition Service Company." Best Journal of Administration and Management 1, no. 2 (2022): 80–84. http://dx.doi.org/10.56403/bejam.v1i2.61.

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In managing the process of sending imported goods it is not uncommon to have problems, and the problems that usually arise from companies engaged in logistics services are in terms of the long bureaucracy in processing documents so that the process of sending goods experiences delays, and inaccuracies in checking documents so that they have to change data. This study used a qualitative method by collecting data through interviews, observations and related documents. The results of this study are that in the import shipping process at CV Jaya logistics dynasty including receiving import documen

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Zhang, Yongling, Miao Zhou, Nana Kong, Xin Li, and Xiaobing Zhou. "Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation." International Journal of Environmental Research and Public Health 19, no. 24 (2022): 16542. http://dx.doi.org/10.3390/ijerph192416542.

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The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial flooding scenario simulation. Firstly, inundation area and depth under different pluvial flooding scenarios are simulated based on the SCS-CN model. Following that, space densities of all indicators include inundation area and depth, road network and the emergency public service institutions. Then, the

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Iqbal Azhari Pane, Dina Rispianti, and Fadiyah Hani Sabila. "Flow Of Container Movement Activities at The Depot PT. Prima Indonesia Logistics." Jurnal Riset dan Inovasi Manajemen 2, no. 3 (2024): 225–32. http://dx.doi.org/10.59581/jrim-widyakarya.v2i3.4156.

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The service of container activity flow in the depot that is not carried out effectively will have an impact on the service users which can have a major impact on the company resulting in a reduction in service users in the company. To avoid service users feeling dissatisfied with the depot service, it is better to supervise the activities in the depot and it is necessary to add workers to activities that require fast processing time. The handling scheme for container activity flow in the depot at PT. Prima Indonesia Logistik Belawan starts from container rental and the depot stacking yard. How

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Santoso, Dwi Budi, Aliyatul Munna, and Dewi Handayani Untari Ningsih. "Improved playstore review sentiment classification accuracy with stacking ensemble." Journal of Soft Computing Exploration 5, no. 1 (2024): 38–45. http://dx.doi.org/10.52465/joscex.v5i1.247.

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In today's digital era, user reviews on the Playstore platform are an invaluable source of information for developers, offering insights that are critical for service improvement. Previous research has explored the application of stacking ensemble methods, such as in the context of predicting depression among university students, to enhance prediction accuracy. However, these studies often do not explicitly detail the data acquisition process, leaving a gap in understanding the applicability of these methods to different domains. This research aims to bridge this gap by applying the stacking e

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Somar, Enjeli, Asep Suparman, and Paulus Raga. "Peningkatan kinerja operasional perusahaan Jasa Pengurusan Transportasi dalam meningkatkan kepuasan pelanggan." Management and Business Review 5, no. 2 (2021): 188–201. http://dx.doi.org/10.21067/mbr.v5i2.5904.

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The purpose of this study is to determine the effect of service quality, port facilities, and container stacking places on operational performance in increasing the level of customer satisfaction. The method used in this study is a quantitative method with descriptive type and the data analysis technique uses Path Analysis. The population in this study were 100 respondents consisting of workers in Jasa Pengurusan Transporasi (JPT) companies and JPT customers. The data collection technique uses a questionnaire that has been tested for validity and reliability. Based on the results of the study,

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Kharismadhany, Ekky, Maretha Ruswiansari, and Tri Harsono. "Brute-force Detection Using Ensemble Classification." INTEK: Jurnal Penelitian 9, no. 2 (2023): 98. http://dx.doi.org/10.31963/intek.v9i2.3550.

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Traditional brute-force is a dictionary-based attack that tries to unlock an authentication process in service. This type of brute force can be applied in web and SSH services, and brute-force XSS injects JavaScript code. In this paper, we explore four types of ensemble classifiers using CIC-CSE-IDS 2018 to determine which yields the highest accuracy, recall, precision, and F1 in detecting three types of brute force. The first step of the research is to normalise the dataset with the tanH operator. The second step is to train the single classifier to determine three types of single classifiers

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Ye, Junwei, Zhixuan Wang, Jichen Yang, Chunan Wang, and Chunyu Zhang. "An LDDoS Attack Detection Method Based on Behavioral Characteristics and Stacking Mechanism." IoT 6, no. 1 (2025): 7. https://doi.org/10.3390/iot6010007.

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Today, the development of the Internet of Things has grown, and the number of related IoT devices has reached the order of tens of billions. Most IoT devices are vulnerable to attacks, especially DdoS (Distributed Denial of Service attack) attacks. DDoS attacks can easily cause damage to IoT devices, and LDDoS is an attack launched against hardware resources through a small string of very slow traffic. Compared with traditional large-scale DDoS, their attacks require less bandwidth and generate traffic similar to that of normal users, making them difficult to distinguish when identifying them.

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Irawan, Wahyu Johnata, Fadilla Octaviana, Ni Kadek Anggun Apsari, and Putu Diva Ariesthana Sadri. "Analisis Sistem Penanganan Peti Kemas pada Container Yard (Studi Kasus: PT. X Surabaya)." Berkala Forum Studi Transportasi antar Perguruan Tinggi 2, no. 3 (2024): 596–604. http://dx.doi.org/10.19184/berkalafstpt.v2i3.1277.

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PT. X Surabaya is a logistics service company engaged in container depot facility services, focusing on loading and unloading activities and container storage. This study aims to understand the container stacking handling system, find problems in the container system, and conduct an analysis related to the capacity and utilization of the stacking field. The research method used is data analysis from primary data sources and secondary data obtained. From the analysis that has been carried out, it is known that the area of the container yard is 25.000 m2, the average length of stay for container

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Wati, Try Ganjar, and Novita Nuraini. "Analisis Kejadian Missfile Berkas Rekam Medis Rawat Jalan di Puskesmas Bangsalsari." J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan 1, no. 1 (2019): 23–30. http://dx.doi.org/10.25047/j-remi.v1i1.1932.

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Based on preliminary research at Bangsalsari Public Health Center were found that on December 2018 to March 2019 for 53 out of 200 medical record files were misplaced or misfiling. The misplaced file or misfiling could inhibit and led into delay on the patient service process. In addition, a new file would be created to replace the missing medical record file and affected the unsustainable medical record files. The aim of this research was to analyze, determine the priority causes and to fix the problem of misfiling incident using USG (Urgency, Seriousness, Growth) and brainstorming in Bangsal

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Ang Li, Tianyi Yang, Xiaoan Zhan, Yadong Shi, and Huixiang Li. "Utilizing Data Science and AI for Customer Churn Prediction in Marketing." Journal of Theory and Practice of Engineering Science 4, no. 05 (2024): 72–79. http://dx.doi.org/10.53469/jtpes.2024.04(05).10.

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This study explores the application of data science and AI techniques in predicting customer churn within the telecommunications industry, a sector characterized by intense competition and high customer turnover rates. By analyzing historical customer data, including usage patterns and service preferences, the study aims to identify factors contributing to churn and propose targeted retention strategies to mitigate losses. Traditional classification algorithms and ensemble techniques are evaluated using the Telecom-Customer-Churn dataset, with emphasis on the underutilized Stacking ensemble me

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Link, Thomas, Alexander Epishin, Nils Nawrath, Catrina Michel, and Mohamed Nazmy. "Dislocation Structures in the Gamma Prime-Phase of CMSX-4 and TMS75 after Degradation under Service Conditions." Advanced Materials Research 278 (July 2011): 25–30. http://dx.doi.org/10.4028/www.scientific.net/amr.278.25.

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The single crystal superalloys CMSX-4 and TMS75 were tested for very long times at high temperatures in laboratory creep tests and in service. The microstructure was investigated in TEM and SEM. It was found, that the ’-phase is cut at stresses much below the threshold given in literature. Cutting takes place by <110> screw dislocations. These mobile dislocations can be locked locally by a Giamei-lock. Thus a stacking fault dipole forms between the locked segment and the preceding ones. The dipole consists of two supershockley dislocations with 30° character, which are also stabilized b

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Nguyen, Duc-Duong, Minh-Thuy Le, and Thanh-Long Cung. "Improving intrusion detection in SCADA systems using stacking ensemble of tree-based models." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 119–27. http://dx.doi.org/10.11591/eei.v11i1.3334.

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This paper introduces a stacking ensemble model, which combines three single models, to improve intrusion detection in supervisory control and data acquisition (SCADA) systems. The first layer of the proposed model is the combination of random forest, light boosting gradient machine, and eXtreme gradient boosting models. We use an multilayer perceptron (MLP) network as a meta-classifier of the model. The proposed model is optimized and tested on an international dataset (gas pipeline dataset). The tested results show an accuracy of 99.72% with the f1-score of 99.72% for binary classification t

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Duc-Duong, Nguyen, Le Minh-Thuy, and Cung Thanh-Long. "Improving intrusion detection in SCADA systems using stacking ensemble of tree-based models." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 119–27. https://doi.org/10.11591/eei.v11i1.3334.

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This paper introduces a stacking ensemble model, which combines three single models, to improve intrusion detection in supervisory control and data acquisition (SCADA) systems. The first layer of the proposed model is the combination of random forest, light boosting gradient machine, and eXtreme gradient boosting models. We use an multilayer perceptron (MLP) network as a meta-classifier of the model. The proposed model is optimized and tested on an international dataset (gas pipeline dataset). The tested results show an accuracy of 99.72% with the f1-score of 99.72% for binary classification t

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Meng, Xiangxu, Wei Li, Sisi Zlatanova, Zheng Zhao, and Xiao Wang. "A Dual-Encoder-Condensed Convolution Method for High-Precision Indoor Positioning." Remote Sensing 14, no. 19 (2022): 4746. http://dx.doi.org/10.3390/rs14194746.

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We study the problem of indoor positioning, which is a fundamental service in managing and analyzing objects in indoor environments. Unpredictable signal interference sources increase the degeneration of the accuracy and robustness of existing solutions. Deep learning approaches have recently been widely studied to overcome these challenges and attain better performance. In this paper, we aim to develop efficient algorithms, such as the dual-encoder-condensed convolution (DECC) method, which can achieve high-precision positioning for indoor services. In particular, firstly, we develop a convol

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Klemperer, Simon L. "Seismic noise‐reduction techniques for use with vertical stacking: An empirical comparison." GEOPHYSICS 52, no. 3 (1987): 322–34. http://dx.doi.org/10.1190/1.1442306.

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A systematic comparison of a wide range of noise‐reduction techniques applied to a single data set collected for this purpose was attempted. The study includes a comparison of the relative benefits of noise‐reduction schemes for very different noise levels. The comparisons use computer simulations of field techniques for noise reduction as applied to deep crustal, 48-fold VIBROSEIS® data. The noise‐reduction techniques involve amplitude scaling (diversity stacking and automatic gain control), noise editing (the use of fixed‐gain and self‐updating noise‐rejection systems with and without buffer

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Irvan, Muhammad Irvan Ma'ruf, and Meilyana Winda Perdana. "Integrated police center information system (spkt) at polsek lubuk raja." International Journal Cister 1, no. 01 (2022): 31–34. http://dx.doi.org/10.56481/cister.v1i01.1.

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The National Police is an agency that provides public services in providing security to the community, one of which is in the Lubuk Raja sub-district, namely the Lubuk Raja Police which has a unit at the higher level, namely the Ogan Komering Ulu Police,One of the functions at the Lubuk Raja Police and the Resort Police and their staff is the Integrated Police Service Center (SPKT) which is tasked with providing services in the form of receiving reports. Receipt of reports and data processing at SPKT Lubuk Raja Police is still done manually, such as making reports using Microsoft Office Word i

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Chithanuru, Vasavi, and Mangayarkarasi Ramaiah. "Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization." PeerJ Computer Science 11 (March 19, 2025): e2630. https://doi.org/10.7717/peerj-cs.2630.

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The decentralized, open-source architecture of blockchain technology, exemplified by the Ethereum platform, has transformed online transactions by enabling secure and transparent exchanges. However, this architecture also exposes the network to various security threats that cyber attackers can exploit. Detecting suspicious behaviors in account on the Ethereum blockchain can help mitigate attacks, including phishing, Ponzi schemes, eclipse attacks, Sybil attacks, and distributed denial of service (DDoS) incidents. The proposed system introduces an ensemble stacking model combining Random Forest

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Trilaksono, Ardhian, and Indung Sudarso. "ANALISIS PENINGKATAN KUALITAS PELAYANAN BONGKAR MUAT BARANG DI PELABUHAN PROBOLINGGO (Studi Kasus PT Delta Arta Bahari Nusantara Cabang Probolinggo)." JURNAL REKAYASA SISTEM INDUSTRI 6, no. 2 (2021): 95. http://dx.doi.org/10.33884/jrsi.v6i2.3678.

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PT Delta Arta Bahari Nusantara is a regional-owned company owned by the East Java region as a loading and unloading operator for the Probolinggo port trying to improve port operation services, one of the efforts that has been made is building port facilities. There is an increase in loading and unloading activities of superior commodities, it is necessary to increase the quality. Efforts to maintain service quality of a company must analyze and serve data and information accordingly from data and measurements, in this case, product suitability and customer satisfaction levels. The purpose of t

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Nurhaliza, Intan, and Dadang Suyadi. "ANALISIS TRUCK ROUND TIME DI LAPANGAN IMPOR DALAM KEGIATAN DELIVERY DI PT. MUSTIKA ALAM LESTARI." LOGISTIK 13, no. 1 (2020): 31–36. http://dx.doi.org/10.21009/logistik.v13i1.17656.

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asically, in a activity delivery, the consignee submits SP2 (Container Withdrawal Letter) at the gate, then if it is not in accordance with SP2, it is returned to the consignee, if appropriate, the carried out gate in transaction is, then the consignee can immediately receive the container according to the stacking location listed on SP2 This is intended so that the consignee can quickly dispense the container from the stacking field and the truck does not need to be lingering in the container terminal. The optimal time required for adequate service, fast service levels greatly affect the opti

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Peel, Derrell S. "115 The Beef Industry in a Post-Pandemic World." Journal of Animal Science 99, Supplement_1 (2021): 40. http://dx.doi.org/10.1093/jas/skab054.070.

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Abstract The onset of the COVID-19 pandemic in 2020 caused unprecedented shocks and disruptions in the cattle and beef industry. The shutdown of food service in March 2020 caused an unparalleled stacking of food demand on the retail grocery sector. The rigidity and specialized nature of food service and retail grocery supply chains, compounded by a surge in consumer demand at retail grocery, resulted in temporary shortages of meat in other consumer products in supermarkets. The food service sector recovered somewhat over many weeks but remained diminished through the balance of 2020 and beyond

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Lee, Young-Chan, and Chul-Sung Lee. "Impact of AI-based STOD(Stacking Owned Delivery) Efficiency on Rider Earnings: Focusing on Baedal Minjok Alddulbaedal." Korean Logistics Research Association 33, no. 5 (2023): 1–11. http://dx.doi.org/10.17825/klr.2023.33.5.1.

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The outsourcing of food delivery began in the late 1990s, and the growth of food delivery platforms provided consumers with the opportunity to access a variety of foods through delivery. However, due to the nature of the restaurant industry, food must be cooked upon ordering and delivered to the consumer in a warm state. This takes less than an hour, which makes it difficult for restaurants to expand their delivery service. Therefore, only 20.9% of total restaurant sales are generated through food delivery via phone orders and food delivery platforms, and sales through food delivery platforms

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Hetrick, Dakota R., Seyed Hamid Reza Sanei, Omar Ashour, and Charles E. Bakis. "Charpy impact energy absorption of 3D printed continuous Kevlar reinforced composites." Journal of Composite Materials 55, no. 12 (2021): 1705–13. http://dx.doi.org/10.1177/0021998320985596.

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Additive manufacturing (AM) has been used widely to produce three-dimensional (3D) parts from computer-aided design (CAD) software. Traditional Fused Deposition Modeling (FDM) 3D printed polymer parts lack the necessary strength to be used for functional parts in service. The potential of printing continuous fiber reinforced composites has resulted in parts with better mechanical properties and enhanced performance. Very few studies have investigated the impact energy absorption of continuous fiber reinforced 3 D printed composites. The purpose of this work is to investigate the effect of diff

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Hanif, Abdulelah Al, and Mohammad Ilyas. "Enhance the Detection of DoS and Brute Force Attacks within the MQTT Environment Through Feature Engineering and Employing an Ensemble Technique." International Journal of Artificial Intelligence & Applications 15, no. 4 (2024): 01–19. http://dx.doi.org/10.5121/ijaia.2024.15401.

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The rapid development of the Internet of Things (IoT) environment has introduced unprecedented levels of connectivity and automation. The Message Queuing Telemetry Transport (MQTT) protocol has become recognized in IoT applications due to its lightweight and efficient features; however, this simplicity also renders MQTT vulnerable to multiple attacks that can be launched against the protocol, including denial of service (DoS) and brute-force attacks. This study aims to improve the detection of intrusion DoS and bruteforce attacks in an MQTT traffic intrusion detection system (IDS). Our approac

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Suherman, Yanni. "Pemanfaatan Sistem Informasi Terhadap Kinerja Pelayanan, Sirkulasi Buku Dan Pengolahan Arsip." Jurnal Sains dan Informatika 4, no. 1 (2018): 87–96. http://dx.doi.org/10.22216/jsi.v4i1.3371.

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Research conducted at the Office of Archives and Library of Padang Pariaman Regency aims to find out the data processing system library and data archiving. All data processing is done is still very manual by using the document in writing and there is also a stacking of archives on the service. By utilizing library information systems and archives that will be applied to the Office of Archives and Library of Padang Pariaman Regency can improve the quality of service that has not been optimal. This research was made by using System Development Life Cycle (SDLC) which is better known as waterfall

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Rao, Gottapu Sankara, and P. Krishna Subbarao. "A Novel Approach for Detection of DoS / DDoS Attack in Network Environment using Ensemble Machine Learning Model." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 244–53. http://dx.doi.org/10.17762/ijritcc.v11i9.8340.

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One of the most serious threat to network security is Denial of service (DOS) attacks. Internet and computer networks are now important parts of our businesses and daily lives. Malicious actions have become more common as our reliance on computers and communication networks has grown. Network threats are a big problem in the way people communicate today. To make sure that the networks work well and that users' information is safe, the network data must be watched and analysed to find malicious activities and attacks. Flooding may be the simplest DDoS assault. Computer networks and services are

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