bluuebunny/crossref_metadata_2025 huggingface dataset:
Customer Relationship Management (CRM) Systems and their Impact on SMEs Performance: A Systematic Review
Authors: Nethanani Ronewa , Matlombe Luzuko , Vuko Siphethuxolo , Thango Bonginkosi
Published: October 2024

The integration of Customer Relationship Management (CRM) systems within Small and Medium Enterprises (SMEs) is increasingly recognized for its potential to enhance business performance. While CRM adoption is on the rise, the specific impacts on operational efficiency, customer satisfaction, and financial outcomes in SMEs require further investigation. This systematic review evaluates the impact of CRM systems on SME performance, with a focus on operational improvements, sales growth, and customer retention. The study aims to identify key determinants of successful CRM implementation and assess the long-term effects on SMEs' competitive advantage. The review encompasses studies published between 2014 and 2024, sourced from Google Scholar, Web of Science, and SCOPUS. A total of 46 studies were included after screening 18,306 records. The mixed-methods approach involves quantitative analysis of survey data from SME owners and managers, along with qualitative synthesis of case studies. Metrics evaluated include customer acquisition, retention rates, revenue growth, and organizational efficiency. The analysis indicates that CRM adoption leads to a 25-40% improvement in customer retention and a 15-30% increase in sales across SMEs. Operational efficiency gains range from 20-35%, primarily driven by process automation and enhanced data management capabilities. Successful CRM implementation is strongly linked to managerial support, system customization, and user training. However, barriers such as limited financial resources and technical expertise hinder the full realization of CRM benefits. CRM systems significantly contribute to SME growth by optimizing customer relationships and enabling data-driven decision-making. The review underscores the importance of strategic CRM implementation tailored to the specific needs of SMEs to maximize its impact. Future research should focus on overcoming adoption barriers and refining CRM strategies for sustained performance improvements.
Comparison of Luting Cement Solubility: A Narrative Review
Authors: Kim Deok Yong , Aryan Nona , Lawson Nathaniel , Cheon Kyounga
Published: October 2024

Dental restoration success relies on the physical properties of luting cements. Luting cements fill the space between teeth and restoration, provide retention and protection from occlusal forces, and act as a barrier to microleakage in the oral environment. This review aims to evaluate and compare the solubility of the three most used dental luting cements: glass ionomer (GI), resin-modified glass ionomer (RMGI), and resin cement (RC). Studies selected for review compared solubilities of combination of GI, RMGI and RC in solutions with different pH levels to replicate acidic oral pH. Review of the studies concluded that resin cement had the overall lowest degree of solubility in all pH values and all ranges of storage periods, followed by RMGI and GI cement. Success of restoration is dependent upon luting cements. Results of the studies reviewed show that all dental luting cements showed some degree of dissolution. Resin cement overall demonstrated the least amount of solubility, followed by RMGI and GI cement.
Laboratory Evaluation of Boric Acid and Azadirachtin in combating Rhynchophorus ferrugineus (Coleoptera: Curculionidae: Dryophthorinae)
Authors: Cabello Tomas , Gamez Manuel
Published: October 2024

Background: the red palm weevil, Rhynchophorus ferrugineus (F.) (Col.: Curculionidae: Dryophthorinae) is a pest species that infests many palm and coconut tree species across 50 countries. Larval feeding damages the palm heart and/or the palm stipe meristem, often causing the tree’s death. The damage caused by the larvae also allows phytopathogens and other insect pests to enter the tree, which can prove lethal. Methods: two active ingredients, azadirachtin and boric acid, were incorporated into an artificial diet fed to the weevils. The efficacy of these compounds was evaluated through bioassays conducted under laboratory conditions. Results: the most effective concentration for azadirachtin (95.0±5.0 %) was observed at 50.0 ppm on day 20; for boric acid (100 %), it was most efficacious at 2,500.0 ppm on day 12. Conclusions: boric acid shows significant potential in controlling the larvae of this weevil pest species. It does so in two ways - firstly, through its direct action against the red palm weevil larvae, and secondly, by its interaction with the micro-organisms associated with the larvae, which may result in more rapid mortality amongst the pest larvae themselves.
Imaginique Expressions: Tailoring Personalized Short-Text to Image Generation Through Aesthetic Assessment and Human Insights
Authors: Wan Yitian , Xiao Luwei , Wu Xingjiao , Yang Jing , He Liang
Published: October 2024

Text-to-image tasks have gained significant progress, where vivid images are generated from detailed text descriptions. However, existing studies overlook scenarios where the provided text is sparse, neglect the investigation of human preferences, and fail to acknowledge the diversity of aesthetic opinions. To address those issues, we develop a methodology called personalized short-text-to-image generation through aesthetic assessment and human insights. We develop a Personality Encoder (PE) to extract personal information and establish the Big-Five personality traits-based Image Aesthetic Assessment model (BFIAA) for predicting specific human aesthetic preferences. Utilizing the BFIAA model, we fine-tune the Stable Diffusion model to align it more closely with human preferences. Our experiments demonstrate that our BFIAA model can truly reflect human aesthetic preference and the adapted generation model can generate personalized images more preferred by humans.
Forecasting Land Surface Temperature in Kathmandu Using Univariate and Multivariate Time Series Models
Authors: Poudel Subash , Adhikari Gajananda Mani , Poudel Prabesh , Bhandari Himal
Published: October 2024

Rapid growth and domestic migration to capital city, Kathmandu Metropolitan City (KMC), Nepal have amplified land-use transition to unmanaged and unplanned urbanization have exacerbated problems of Urban Heat Island (UHI) Effect. Increasing built up surfaces, means of transport and industrial activities are major results for increasing temperature in the city area as compared to other areas. This study focuses on forecasting Land Surface Temperature (LST) using both univariate and multivariate time series models. The primary goal is to predict the impact of climatic factors on the Urban Heat Island (UHI) effect, utilizing data from 1981 to 2019. We analyzed key factors including - (i) relative humidity, (ii) surface pressure, (iii) specific humidity, and (iv) wind speed sourced from the MEERA-2 dataset. A univariate model using exponential smoothing achieved a Mean Absolute Error (MAE) of 3.17°C and an R² score of 0.94, highlighting strong predictive accuracy. Additionally, the multivariate Prophet model, which incorporates trend and seasonal components, further refined the forecasting by integrating multiple climatic factors. This study aims provides valuable information via prediction for sustainable urban planning and landscape design in KMC and other 61 districts.
Research Progress of Lactate and Its Regulated Small Molecule Drugs
Authors: Liu Jin , Zhou Feng , Tan Yang , Tang Yang , Li Lihui , Pei Gang , Li Ling
Published: October 2024

Lactate plays a critical role in cell metabolism and disease development. Under conditions of hypoxia or high-intensity exercise, cells use the glycolytic pathway to convert glucose into pyruvate, which is then reduced to lactate to quickly obtain energy. The traditional role of lactate is being redefined, as it is not only a provider of energy but also an important signaling molecule that regulates cell physiological functions, including histone lactylation modification, which affects gene expression. However, excessive accumulation of lactate is associated with the development of various diseases, such as liver disease, cancer, and cardiovascular disease. Research has also found that small-molecule drugs can regulate lactate levels, providing new possibilities for treating related diseases.
Implications of Time-Invariant Space Model in Fundamental Physics and Cosmology
Authors: Šorli Amrit
Published: October 2024

Time is what we measure with clocks. With clocks, we measure the duration of material change tuning in space. Material change runs in space only, time, as duration enters existence when measured. Time is an emergent physical reality that enters existence when measured by the observer. No measurement means no time. The motion does not require time. Motion requires only space and the physical object that moves in space, which is time-invariant. There is no physical past; there is no physical future. Past and future exist only in the human mind. Humans, we experience time-invariant space as NOW. The entire universe exists and develops into NOW.
Review of Foam with Novel CO2-Soluble Surfactants for Improved Mobility Control in Tight Oil Reservoirs
Authors: Zhao Fajun , Sun Mingze , Liu Yong , Sun Wenjing , Guo Qinyuan , Yang Zian , Zhang Changjiang , Li Meng
Published: October 2024

CO2-soluble surfactant foam systems have garnered significant attention in the fields of enhanced oil and gas recovery, environmental protection, and greenhouse gas emission reduction. This review provides a comprehensive explanation of the basic theory of CO2-soluble surfactant foam, the mechanism of enhanced oil recovery, and the classification and application of various CO2-soluble surfactants.The mechanism of enhanced oil recovery by CO2-soluble surfactant foam involves the effective reduction of CO2 fluidity, the decrease in oil-air flow ratio, and the stabilization of the displacement front. Foam plays a vital role in mitigating the issues of channeling and gravity separation often caused by simple CO2 injection. The reduction in gas fluidity can be attributed to the increase in apparent viscosity and trapped gas fraction.Future research should prioritize the development of more efficient and environmentally-friendly CO2-soluble surfactants. It is essential to further explore the advantages and challenges associated with their practical applications in order to maximize their potential impact.
Trafficking of the Plasmodium falciparum RhopH3 rhoptry protein through the Maurer’s clefts in Pf130 associated compartments in infected erythrocytes
Authors: Yadavalli Raghavendra , Peterson John W , Sam-Yellowe Tobili Y
Published: October 2024

Rhoptry proteins of the RhopH complex (RhopH1/Clag, RhopH2 and RhopH3) participate in the formation of new permeability pathways for nutrient uptake in Plasmodium falciparum infected erythrocytes. RhopH proteins associate with the Maurer’s clefts (MC) during transport to the host cell membrane and interact with the cytoskeleton. However, the role of specific MC proteins facilitating rhoptry protein interaction and trafficking is unknown. The major interaction with MCs occurs with RhopH3. Dual roles ascribed to RhopH3 include functions in host cell invasion and formation of the plasmodial surface anion channel (PSAC). The topological orientation and organization of the RhopH3-MC membrane interaction in the host cell cytoplasm has not been described. In this study, we performed biochemical analysis to investigate the topology and trafficking of RhopH3 and Pf130 from the parasite to the erythrocyte cytoplasm using streptolysin O (SLO) permeabilization and protease treatment of infected erythrocytes. We investigated Pf130, a soluble protein previously identified by monoclonal antibodies and shown by immunoelectron microscopy (IEM) to be distributed underneath knobs and associated with the MC in infected erythrocytes. Pf130 is expressed early in the erythrocytic cycle and persists to the schizont stage. Immunofluorescence and confocal microscopy show that Pf130 is a resident MC protein due to its colocalization with the MC protein REX-1. Immunofluorescence assay (IFA) showed colocalization of Pf130 with RhopH3 in the cytoplasm of SLO permeabilized and trypsin treated infected erythrocytes. These novel findings show that both proteins were protected from protease digestion demonstrating that conformational changes are required to transport the RhopH proteins through association with the MC as integral membrane proteins.
Facial Movements Extracted from Video for the Kinematic Classification of Speech
Authors: Palmer Richard , Ward Roslyn , Helmholz Petra , Strauss Geoffrey R , Davey Paul , Hennessey Neville , Orton Linda , Namasivayam Aravind
Published: October 2024

Speech Sound Disorders (SSDs) are prevalent communication problems in children that pose significant barriers to academic success and social participation. Accurate diagnosis is key to mitigating life-long impacts. We are developing a novel software solution -- the Speech Movement and Acoustic Analysis Tracking (SMAAT) system to facilitate rapid and objective assessment of motor speech control issues underlying SSD. This study evaluates the feasibility of using automatically extracted 3-Dimensional (3D) facial measurements from single 2-Dimensional (2D) front-facing video cameras for classifying speech movements. Videos were recorded of 51 adults and 77 children between 3 and 4 years of age (all typically developed for age) saying 20 words from the mandibular and labial-facial levels of the Motor-Speech Hierarchy Probe Wordlist (MSH-PW). Measurements around the jaw and lips were automatically extracted from the 2D video frames using a state-of-the-art facial mesh detection and tracking algorithm, and each individual measurement was tested in a Leave-One-Out Cross-Validation (LOOCV) framework for its word classification performance. Statistics were evaluated at the alpha = 0.05 significance level and several measurements were found to exhibit significant classification performance in both the adult and child cohorts. Importantly, measurements of depth indirectly inferred from the 2D video frames were among those found to be significant. The significant measurements were shown to match expectations of facial movements across the 20 words, demonstrating their potential applicability in supporting clinical evaluations of speech production.
Garment Recognition and Reconstruction using Object SLAM
Authors: Zhang Yilin , Hashimoto Koichi
Published: October 2024

The integration of robotics in the garment industry remains relatively limited, primarily due to the challenges in the highly deformable nature of garments. The objective of this study is thus to explore a vision-based garment recognition and environment reconstruction model to facilitate the application of robots in garment processing. Object SLAM (Simultaneous Localization and Mapping) was employed as the core methodology for real-time mapping and tracking. To enable garment detection and reconstruction, two datasets were created: a 2D garment image dataset for instance segmentation model training and a synthetic 3D mesh garment dataset to enhance the DeepSDF (Signed Distance Function) model for generative garment reconstruction. In addition to garment detection, the SLAM system was extended to identify and reconstruct environmental planes, using the CAPE (Cylinder and Plane Extraction) model. The implementation was tested using an Intel Realsense® camera, demonstrating the feasibility of simultaneous garment and plane detection and reconstruction. The study shows improved performance in garment recognition with the 2D instance segmentation models and enhanced understanding of garment shapes and structures with the DeepSDF model. The integration of CAPE plane detection with SLAM allows for more robust environment reconstruction, capable of handling multiple objects. The implementation and evaluation of the system highlights its potential for enhancing automation and efficiency in the garment processing industry.
Tumor Lysis Syndrome with Venetoclax/Carfilzomib/Dexamethasone for Relapsed/Refractory Multiple Myeloma: A Case Report
Authors: Fankhauser Reilly , Lu Alan , Kassim Adetola , Biltibo Eden
Published: October 2024

We present a 53-year-old male with a history of relapsed refractory multiple myeloma (RRMM) with t(11;14) treated with venetoclax, carfilzomib and dexamethasone (VenKd), resulting in tumor lysis syndrome (TLS) with subsequent renal failure. Repeat marrow biopsy showed no monoclonal plasma cells but extensive fibrosis. Venetoclax was reintroduced after two months with marrow recovery. Venetoclax was titrated from 200 to 400 mg daily alongside IV fluids and allopurinol without TLS recurrence. Here, we highlight the importance of risk stratification, dose titration, and TLS prophylaxis with venetoclax use in RRMM.
Integrated Assessment of the Quality of Functioning of Local Electric Energy Systems
Authors: Wójcik Waldemar , Lezhniuk Petro , Kaczmarek Cezary , Komar Viacheslav , Hunko Iryna , Sobchuk Nataliia , Yesmakhanova Laura , Shermantayeva Zhazira
Published: October 2024

The article discusses the formation of local electric energy systems (LEES) based on renewable energy sources (RSE) as balancing groups in the electric power system (EPS). These systems can function autonomously, providing electricity even in extreme conditions. LEES incorporate small hydroelectric, photovoltaic, and wind power plants, whose output is unstable due to varying natural conditions. To address this, energy storage systems are included to ensure stability and balance. LEES may vary significantly in terms of reliability, power losses, and quality, making it essential to choose the optimal configuration. Optimizing power supply by focusing on individual indicators is discouraged, as it may negatively affect others. To evaluate LEES performance, an integral indicator has been developed, combining the theory of Markov processes and similarity. This indicator compares actual performance with an "ideal" standard, simplifying the assessment of complex systems. It allows comparison of different transmission and distribution options without needing to evaluate all technical and economic details. The proposed integral indicator effectively reflects real operating conditions and assesses the efficiency, quality, and optimality of power supply, while remaining adaptable to partial indicators.
Techniques for Outlier Detection: A Comprehensive View
Authors: Montgomery Richard Murdoch
Published: October 2024

Outlier detection is a critical technique across various domains, including statistics, data science, machine learning, and finance. Outliers, data points that differ significantly from the majority, can indicate errors, anomalies, or even new insights. This article provides an in-depth exploration of the primary techniques used to detect outliers, categorized into statistical methods, machine learning-based approaches, and proximity-based methods. We discuss the advantages, limitations, and specific use cases of each technique, highlighting their applicability to different types of datasets. The goal is to equip practitioners with a better understanding of how to identify and handle outliers effectively in real-world data analysis.
Peptide AEDL and Glutathione Stimulates Root Development Nicotiana tabacum
Authors: Kononenko Neonila Vasilievna , Fedoreyeva Larisa Ivanovna
Published: October 2024

Reactive oxygen species (ROS) are essential molecules involved in intercellular communication, signal transduction and metabolic processes. Abiotic stresses cause accumulation of excess ROS in plant cells. The issues of regulation of antioxidant protection of plants by natural and synthetic compounds with antioxidant activity still remain one of the important and relevant areas of fundamental and applied research. Glutathione (GSH) plays an important role in stress resistance and redox homeostasis of the cell and effectively protects the cell from stress-induced generation of ROS. An increase in the GSH content in plant cells can contribute to an increase in plant resistance to various types of stressors. However, an increase in the GSH content in plants can negatively affect their growth and development. We have shown that growing Nicotiana tabacum in the presence of tetrapeptide AEDL contributes to an increase in the GSH content by 3.24 times. At the same time, the tobacco plant was more developed, especially its root system. A scheme of the mechanism of regulation of the redox balance in the stem cell niche and the participation of the peptide AEDL and GSH in the regulation of the fate of stem cells was proposed.
Effects of Novel Co-amorphous Naringenin and Fisetin Compounts on a Diet-induced Obesity Murine Model
Authors: Vásquez-Reyes Sarai , Bernal-Gámez Miranda , Dominguez-Chavez Jorge , Mondragón-Vásquez Karina , Sánchez-Tapia Mónica , Ordaz Guillermo , Granados-Portillo Omar , Coutiño-Hernández Diana , Barrera-Gómez Paulina , Torres Nimbe , Tovar Armando R.
Published: October 2024

Background/Objective: In recent studies, it has been shown that dietary bioactive compounds can produce health benefits, however, it is not known whether an improvement in solubility can enhance their biological effects. Thus, the aim of this work was to study whether co-amorphous (CoA) of naringenin or fisetin with enhanced solubility modify glucose and lipid metabolism, thermogenic capacity and gut microbiota in mice fed a high-fat, high-sucrose (HFSD) diet. Methods: Mice were fed with a HFSD with or without CoA-naringenin or CoA-fisetin for 3 months. Body weight, food intake, body composition, glucose tolerance test, hepatic lipid composition and gut microbiota were assessed. Results: CoA-naringenin demonstrated significant reductions in fat mass gain, improved cholesterol metabolism, and enhanced glucose tolerance. Mice treated with CoA-naringenin gained 45% less fat mass and exhibited improved hepatic lipid profiles, with significant reductions in liver triglycerides and cholesterol. Additionally, both CoA-flavonoids increased oxygen consumption (VO2), contributing to enhanced energy expenditure and improved metabolic flexibility. Thermogenic activation, indicated by increased UCP1 and PGC-1α levels, was observed with CoA-naringenin, supporting its role in fat oxidation and adipocyte size reduction. Further, both CoA-flavonoids modulated gut microbiota, restoring diversity and promoting beneficial bacteria, such as Akkermansia muciniphila, linked to improved metabolic health. Conclusions: These findings suggest that co-amorphous naringenin or fisetin offer promising applications in improving solubility, metabolic health, and thermogenesis, highlighting their potential as therapeutic agents against obesity and related disorders.
Determinants of Sustainable Economic Growth in Angola: A Case Study on Agriculture
Authors: Caetano Joao Mario
Published: October 2024

Angola has an enormous agricultural potential, but the challenge remains how the country can transform potential into real growth. This study is designed to analyze the impact of the agricultural sector on economic growth in Angola and suggest recommendations for a better policy framework of the agricultural sector for a structural growth of the economy. Annual time-series data from 1993 to 2022 were used. The ARDL and EC model were applied to analyze both long and short-term relationships, as well as different statistical and econometric tests were used to examine the significance of the input data and model results, including various diagnostic tests and the Granger causality test. The study findings show stronger evidence of a long-run relationship between the dependent and independent variables than in the short run. Short run results show to be statistically insignificant. Agricultural value added shows the best reaction in all lags involved, indicating that economic growth would, caeteris paribus, respond positively to improvement in agricultural performance in Angola, although delayed by 3 years. Agricultural value-added development would improve both the contribution of agricultural employment and agricultural exports towards economic growth, as well contribute to a better rural development in Angola.
The Case Study on Data Mining Based Students’ Performance Prediction for Academic Success in E-learning
Authors: Staneviciene Evelina , Gudoniene Daina , Punys Vytenis , Kukstys Arturas
Published: October 2024

This study investigates student performance with the aim to forecast students' academic outcomes using data analytics and machine learning techniques. There is a big drop out per cent especially in the technological study programs at the universities, however, focusing on the successful study process there is important to analyze and to predict some risks on students’ to assure low dropout percent. While Student Performance Prediction (SPP) has potential benefits, such as personalized learning and early interventions, several challenges make the task complex in relation to (1) data quality and availability and (2) incomplete and inconsistent data. Predicting performance requires a range of different data types: academic records, attendance, and engagement in class, socio-economic background, and even behavioral factors. Moreover, according to the fourth Sustainable Development Goal (SDG) we focus on the quality in education.This paper presents a case study of data mining method for SPP by using classification, regression, and clustering are generally used in education to predict student’s performance which is important to control drop out of studies percent. The case presented is to predict risks and to assure academic success and quality based on the CRISP-DM data mining.
Legal Safeguards for Owners of Untapped Foreign Brands Under Indonesia's First-to-File Principle
Authors: Artija Arfiansyah Dewa , Purwaningsih Sri Budi
Published: October 2024

This study examines the risks associated with unregistered trademarks, particularly in the context of Indonesia's adherence to the First To File principle. Employing normative methods with a statistical and statutory approach, data was gathered from Supreme Court Decision and DGIP Brand websites to identify potentially problematic and non-problematic brands. Results reveal three layers of legal protection for foreign brand holders outlined in TRIPS regulations, the Paris Convention, and Law no. 20 of 2016, each with its own limitations. Moreover, the study delineates two forms of legal safeguarding for brands: preventive measures through regulatory frameworks and repressive actions via sanctions for infringements. These findings underscore the importance of registering trademarks for robust protection, emphasizing the need for comprehensive legal strategies to mitigate risks for brand owners in the global marketplace.
highlights :

The study elucidates the vulnerabilities associated with unregistered trademarks within the framework of Indonesia's First To File principle.
It identifies and examines the legal safeguards available to foreign brand holders under TRIPS regulations, the Paris Convention, and Indonesian Law no. 20 of 2016.
The research underscores the significance of comprehensive legal strategies, including preventive measures and repressive actions, to protect brand owners in the global marketplace.

Keywords: Unregistered trademarks, Legal protection, Brand ownership, Intellectual property rights, First To File principle.
Price, Quality, and Promotion Synergize to Boost E-commerce Purchases in Indonesia
Authors: Maulana Mohamad Danang , Hariasih Misti
Published: October 2024

This study investigates the impact of price, product quality, and promotion on consumer purchasing decisions on Shopee, focusing on students from Muhammadiyah University Sidoarjo. Using a quantitative approach and data collected through questionnaires, the research employs multiple linear regression analysis via SPSS. Results indicate that price, product quality, and promotion each have a significant positive effect on purchasing decisions. Collectively, these variables also influence consumer behavior on Shopee. The findings suggest that competitive pricing, high product quality, and effective promotions are crucial for enhancing consumer purchasing decisions on e-commerce platforms.
Highlight:

Competitive pricing and high product quality positively affect consumer decisions on Shopee.
Effective promotions significantly influence purchasing behavior among university students.
Combined impact of price, quality, and promotions enhances consumer engagement on e-commerce platforms.

 
Keywoard: Price, Product Quality, Promotion, Purchasing Decisions, E-commerce
Local Halal Cosmetics: How Halal Certification, Brand Image and Influencers Shape Purchase Decisions
Authors: Afisa Ulya Noor , Andni Riyan
Published: October 2024

This study explores the factors influencing consumer decisions to purchase Somethinc cosmetics, with a focus on the effects of halal certification, brand image, and influencer endorsements. Utilizing a quantitative approach, data was collected through surveys from 179 consumers who have purchased or used Somethinc products. The sample was selected using purposive sampling, and data analysis included validity, reliability, classical assumption tests, hypothesis testing, and multiple linear regression. The results indicate that Muslim consumers are particularly cautious about choosing cosmetics that align with both their beauty needs and religious values. Influencer recommendations, halal certification, and a positive brand image significantly impact purchasing decisions. These findings provide valuable insights for cosmetic companies like Somethinc, suggesting that improving product quality, building a strong brand, and collaborating with relevant influencers can effectively reach and engage a broader consumer base.
Measurement of Supply Chain Management Performance in Sago Flour Business Using the Supply Chain Operation Reference (SCOR) Method to Increase SME Productivity
Authors: Juwairiah Juwairiah , Handayani Nurlaila , Nadya Yusri
Published: October 2024

Sago Flour UKM Pak Hamid is one of the players in the sago flour industry in Meunaro Village, Peureulak District, East Aceh Regency. The problems experienced were the difficulty of obtaining sago raw materials in the nearest area, delays in sago raw materials from the time of ordering, and the weather often rained in certain months so that the river water was cloudy. The purpose of the following experiment is to see what aspects are the influence of management capacity on Peureulak Sago Flour SMEs, calculate supply chain processing capacity in Sago Flour SMEs using supply techniques, find out the proposed supply chain management performance restoration. The method used means method (SCOR) which is a reference example of supply chain management activities based on procedures which are divided into 5 systems, namely planning, sourcing, creating, delivering, and returning. The results of this study share the final value of supply chain performance in sago flour SMEs is 56.9117 in the average category (Average), then the proposed improvements that can be made by sago flour SMEs in plan activities by adding suppliers to meet the shortage of raw materials, sago flour SMEs are expected to have their own sago stem plants, source by discussing business rules with suppliers, make by adding some new employees, deliver by improving good communication with consumers, improve service to consumers, and make tubs for clean water supplies, return by throwing water when the flour has settled and replaces it with clean water, wash the dregs filter cloth.
Minimizing Cost of Milk Raw Material Inventory Using the Economic Order Quantity (EOQ) Method
Authors: Priyanto Anugerah Dany , Winursito Yekti Condro , Nugraha Isna , Sholeha Fitriatus , Fanani Handre Syahrul
Published: October 2024

Inventory in raw materials is a very important thing to pay attention to by the company in carrying out its business processes. Economy Order Quantity (EOQ) is a method that is generally used in determining raw material availability policies in order to obtain minimum yields. This method will help plan raw material inventory in a company to be more efficient. In a manufacturing company, inventory is classified into three parts, specifically raw goods, semi-finished goods and finished goods. If a supply is sufficient then the production process will run smoothly. The purpose of this study is to make an analysis and make a control plan for milk raw materials contained in CV. Milkinesia Nusantara using the EOQ method. After analyzing the results obtained, the optimal purchase frequency is 240 times a year because milk raw materials are easily spoiled with a total purchase of milk raw materials every time one order is 119 liters, the main raw material is considered safe as much as 183 liters with what was ordered back when the raw material amounted to 457 liters. Then the total cost of availability of the company's raw materials, which was originally Rp. 85,023,395.55 - can be saved to Rp. 42,006,726, - so that the savings that occur are Rp. 43,016,669.55.
Analysis of Self-Estimated Pricing (HPS) in the Procurement Department Units 1&2 PT. PJB UP Paiton
Authors: Rizki Abdur , Dwi Iryaning Handayani  , Yustina Suhandini
Published: October 2024

Self-Estimated Price (HPS) is an assumed cost for the procurement of goods and services in accordance with predetermined provisions and sourced from accountable data. In the field of procurement PT. PJB UP Paiton Unit 1&2 still has several errors in determining the HPS which can result in a failed auction. This study uses simple statistical techniques and also uses the Statistical Product and Service Solutions (SPSS) application so that the price intervals used are maximum HPS and minimum HPS. The price interval is the lowest and highest price limits used as the basis for determining the price of goods and services. In determining the HPS in the procurement of goods and services PT. PJB UP Paiton, calculates the HPS using an operational budget that uses five data sources in its determination. Data sources used in determining the HPS are market price data, previous contact prices, target price proposal prices and comparative study prices. The results of the HPS calculation for the procurement of 500 work vests, so that a minimum HPS of Rp. 52,250,000 and a maximum HPS of Rp. 56,080,200. In addition, the authors calculated the procurement of panel wall installation services with a size of 2.5 x 10 meters, so that a minimum HPS of Rp. 9,761,345 and a maximum HPS of Rp. 9,996,250.
Determination the Number and Schedule of Security Officers for Pandemic Period and Hybrid Learning at University
Authors: Heryanto Rainisa Maini , Suhada Kartika , Halim Winda , Vania Grace
Published: October 2024

The recovery condition after the Covid-19 pandemic in various sectors from the economic sector, education, and even tourism requires many adjustments in various factors. A university is an educational institution that applies the concept of online learning in pandemic conditions. Restrictions on activities carried out on campus have an influence on the workload of security officers. In this study, the number of security officers was determined during the pandemic and hybrid learning so as to minimize the costs that must be incurred by the university. Determining the number of security officers needed uses a workload analysis based on interviews and considers several factors such as the target level of environmental security, the wide coverage of the security area, and the workload of the security officers themselves. After knowing the number of security officers needed, then scheduling based on work shifts uses the Tibrewala, Philippe, and Brown algorithm so that the workload is evenly distributed. The results obtained show that during the pandemic 35 security officers are needed with an estimated allocation of IDR 156,103,200 per month and get a savings of IDR 84,287,500,- per month (35.1%). For hybrid learning, it takes 51 personnel with an estimated allocation of IDR 224,303,200,- per month. This cost increases by IDR 68.200.000,- per month (43.7%) of pandemic conditions. This research is expected to provide consideration for universities as one of the steps to make savings and be useful during the pandemic and hybrid learning.
Performance Measurement of Green Supply Chain Management (GSCM) Using the Analytical Hierarchy Process (AHP) Method
Authors: Pangaribuan Mery , Handayani Nurlaila , Yusnawati
Published: October 2024

PT. Tri Agro Palma Tamiang merupakan salah satu perusahaan di Aceh Tamiang yang bergerak dibidang pengolahan hasil kelapa sawit. Masalah yang dialami adalah banyak limbah yang dikeluarkan dari proses produksi. Tujuan dalam penelitian ini yaitu: Menentukan variabel kinerja Green Supply Chain Management (GSCM) dan meningkatkan kinerja Green Supply Chain Management (GSCM) di PT. Tri Agro Palma Tamiang. Green Supply Chain Management (GSCM) adalah salah satu konsep pengukuran kinerja keberlanjutan yang mengitegrasikan aspek-aspek lingkungan ke dalam aliran supply chain. Metode yang digunakan dalam penelitian ini adalah Analitycal Hierachy Process (AHP), AHP merupakan metode yang digunakan untuk mengukur bobot setiap variabel kinerja Green Supply Chain Management (GSCM). Berdasarkan hasil penelitian diperoleh nilai variabel kinerja GSCM pada PT. Tri Agro Palma Tamiang m asuk dalam kategori baik, dimana nilai kinerja GSCM diatas 80. Terdapat 3 KPI yang sebaiknya dilakukan perbaikan yaitu keakuratan peramalan, jumlah kerusakan mesin dan Recycleable waste.
Business Development Strategy Selection for Cracker Enterprises with SWOT and ANP Approaches
Authors: Ningrum Antika Yuspita , Handayani Nurlaila , Sabardi Wiky
Published: October 2024

Tiara Kerupuk Merah business is still relatively new and development is still needed. The amount of cracker production was less than the demand, this was due to limited human resources and production facilities that were stillnot optimal. From the existing problems, the Red Kerupuk Tiara Business requires a strategy to be able to overcome a problem and the business development process. The method used is SWOT (Strengths, Weaknesses, Opportunities,Threats) and ANP (Analytical Network Process). The results of the study from the SWOT analysis are that there are 6 (six) alternative strategies for developing the Red Tiara Kerupuk Business. The results of the ANP calculation are the first priority strategy with a value limit (0.057), namely opening branches in other locations/regions, the second priority strategy with a value limit (0.036), namely being a superior supplier for the restaurant industry, and the third priority strategy with a value limit ( 0.025) namely developing products to be distributed to supermarkets.
Design of Production System Improvement to Increase Productivity with Quality Control Circle Approach
Authors: Rabbani Muhammad Rayhan , Mansur Agus
Published: October 2024

The increase in population has an impact on increasing community needs, especially in Indonesian sugar commodities. PG XYZ is one of the sugar production companies in Indonesia that targets a milling capacity of 5,750 tth. PG XYZ faced high sugar reject, so it needed to be reprocessed which had an impact hampering factory productivity. Data from the 2022 milling season shows that rejected sugar is at 5.15% with a total loss of IDR 1,619,300 for each ton. Therefore, it’s necessary to minimize the occurrence of rejected sugar. This research focuses on increasing quality productivity using a series of Quality Control Groups with PDCA stages on manufacturing parts. Data were collected through a FMEA questionnaire. The results showed the obstacles were pol blotong > 2.5%, outputting A < 55%, HK drops > 32%, and sugar reject due to black spots > 1%. The improvement plan is carried out by separating and creating a new clean water line for the supply of vacuum pump coolant, procurement, and installation of stirrer pans. The implementation was carried out for D1/D2 vacuum pan which showed a decrease in reject sugar due to black spots by 182.90 tons or 0.13% with a total of Rp 296,164,764.
Optimizing Distribution Center Network Design for a Cosmetic Manufacturer: A Case Study on Lightening Series Package Product
Authors: Kusumawardani Rindi , Rehaldy Aufa Rais , Savitri Niken Anggraini
Published: October 2024

Ensuring customer satisfaction while maintaining optimal cost efficiency is paramount in designing a successful supply chain structure. This study explores the vital role of service quality and delivery efficiency in achieving customer satisfaction and a superior overall experience through a cost-effective supply chain structure. Furthermore, the strategic positioning of Distribution Centers (DC) and the geographical distribution of consumers serve as additional determinants in the quest to devise the most effective DC scheme that meets consumer expectations. Four simulation scenarios, each with measurable parameters including response time, lead time, and operational costs, were evaluated to identify the most cost-efficient and responsive solution. These parameters encompassed the performance metrics of the supply chain structure model, namely response time and lead time, in conjunction with the total operational cost of each scenario. Our findings reveal that scenario 1 emerges as the most cost-effective with the lowest distribution costs and shortest customer lead time. This scenario consistently maintains the lowest distribution costs from the first to the seventh year. Despite a surge in forecasted demand in the 7th year, resulting in an increase in total distribution costs to Rp. 3,392,793,440, scenario 1 still prevails with overall vehicle costs decreasing and the smallest percentage cost at 17.50%, thus yielding the most economical outcome compared to alternative scenarios. Scenario 4 offers a similar outcome to scenario 1 but incurs higher daily vehicle operating costs. The cost-effectiveness demonstrated by scenario 4 further highlights the significance of strategic DC placement in achieving optimal supply chain outcomes.
Analysis of Bolt Former Machine Effectiveness Using Overall Equipment Effectiveness (OEE) and Six Big Lossess
Authors: Ardy Haekal , Widiasih Wiwin
Published: October 2024

XYZ a manufacturer of nuts and bolts, frequently faced bolt former breakdowns that resulted in huge losses and disrupted the company's operational efficiency and reputation. To solve this problem, PT XYZ needs to implement an effective maintenance strategy and closely monitor machine conditions to reduce the risk of breakdowns and ensure smooth production. This can be analyzed using the OEE method that exists in the company to detect early symptoms of damage, and continuous monitoring of machine conditions. Based on the calculation (OEE) before maintenance scheduling is made on the bolt former machine is currently 69.34%, which is below the standard (JIPM) of 85%. Therefore, the machine still needs to increase productivity through the OEE and Six Big Losses methods and then proceed with analyzing the problem using a fishbone diagram. The results of the analysis found that the biggest factor of time loss was reduced speed losses of 23.15%. The value of setup and adjustment losses was 7.82%, idling and minor stoppages losses were 7.44%, equipment failure losses were 3.12%, defect losses were 0.99%, and scrap losses were 0.11%. After the implementation of OEE, it has an impact on the level of productivity with the calculation results increasing to 77.78%. The availability value reached 89.90%, the performance value was 87.75%, and the quality value was 99.57%.
Forecasting Analysis of Raw Material Needs for Manjakani and Pepet Key in the Manufacture of Madurese Herb Products
Authors: Asfan Dian Farida , Ghooniyah Indriana Mahrotul
Published: October 2024

Demand for Madurese herbal products at PT. XYZ is increasing, especially for women's herbal medicine products, namely fragrant rapet herbal medicine. Uncertain demand means that the supply of raw materials for fragrant rapet herbal medicine, namely manjakani and pepet key, must be precise. Therefore, to meet the demand for herbal medicine, it is necessary to predict the need for raw materials for fragrant rapet herbal medicine. This article aims to predict the need for raw materials in the form of pepet and manjakani keys using various forecasting techniques, including average MA, WMA, ES and ES with trends. Forecasting results with the lowest MAD, MSE, and MAPE values—which show very minimal forecasting errors—will be selected for further examination. The results of the research show that for raw material needs for manjakani, the best forecast result value is 24.43 kg with the smallest percentage error value, namely MAPE of 11.255%, while for key raw material needs for pepet, the forecast result value is 13.59 kg with the smallest error percentage, namely MAPE of 14.851%.
Custo-minimização e gerenciamento de trocas entre produtos de referência e seus biossimilares no sistema privado de saúde no Brasil: o caso da Unimed Maringá
Authors: Azevedo Valderílio , Rezende Marcelo , Brovini Reynaldo Rafael , Odebrecht Pamela Cristina , Moreira Barbara Eloise , Guadagnim Thiago Henrique
Published: October 2024

Introdução: O uso de medicamentos biológicos tem sido empregado no tratamento de pacientes em várias áreas terapêuticas, incluindo oncologia, reumatologia, endocrinologia e gastroenterolo­gia, e as terapias imunobiológicas têm contribuído para o aumento dos custos de saúde. Os biossi­milares são uma estratégia global reconhecida para incentivar a competição no mercado, expandir o acesso dos pacientes aos tratamentos e oferecer eficácia e segurança equivalentes às dos produ­tos de referência. Material e métodos: A Unimed Maringá adotou um sistema de gerenciamento de trocas entre produtos de referência entre biossimilares baseados em três pilares: estabelecimen­to de educação continuada para profissionais de saúde sobre biossimilares, uso de protocolos por enfermidade e perfil adequado do paciente para trocas e adoção de princípios gerais de Aquisição de Produtos Biossimilares. Resultados: No centro de infusão da operadora, no período de janeiro a agosto de 2023, havia 547 pacientes em tratamento autoimune: 81,8% utilizavam medicamento de referência, 11,2% estavam usando referência que possui biossimilar e 5,6% já estavam utilizando biossimilares. A redução estimada nos custos de tratamento de 44 pacientes entre 1 de setembro e 31 de dezembro de 2023 foi de 55,9%. A redução de custos total no consumo de medicamentos de 63 pacientes em tratamento autoimune no período compreendido entre setembro e dezembro de 2023 foi de R$ 708.995,78. Conclusões: Os fundamentos adotados pela operadora foram capazes de minimizar os litígios eventuais que ocorrem entre pagadores, pacientes e médicos prescritores durante o processo de trocas. Foi apurada uma redução de custos no total de R$ 708.995,78, no consumo de medicamentos de 63 pacientes em tratamento por doenças autoimunes no período compreendido entre setembro e dezembro de 2023.
Construction of An Enterprise-Level Global Supply Chain Database
Authors: Katafuchi Yuya , Li Xinmeng , Moran Daniel , Yamada Taiki , Fujii Hidemichi , Kanemoto Keiichiro
Published: October 2024

Global supply chain data captured in input-output models represents a foundational resource in economic, regulatory, investment, defense, and environmental applications. Work based on input-output tables has yielded valuable insights on interdependency and supported new types of policy based on “Scope 3” supply chain exposure. However current models suffer from coarse sector resolution which hampers their real-world utility beyond scholarship. To address this we elaborate the construction of an enterprise-level multi-regional input-output (EMRIO) table. This balanced global input-output table, built by combining official national input-output tables with publicly available firm-level production and transaction data, details flows among the business units at 9,466 companies operating across 86,305 subsegments in 121 countries. The dramatically higher resolution of this resource can improve the accuracy and tractability of all analyses reliant on supply chain information.