Establishment Of Quality Standards Research Articles

Assessment of water electrolysis projects for green hydrogen production with a novel hybrid Q-learning algorithm and molecular fuzzy-based modelling

Determining the most important criteria for increasing the efficiency of water electrolysis investments provides businesses with a competitive advantage. Although there are many studies in the literature on this importance, there are very few studies determining the most important of these performance indicators. To satisfy this gap, the purpose of this study is to make assessment of water electrolysis projects for green hydrogen production via a novel model. First, the balanced expert evaluation matrices are obtained by q-learning algorithm. Secondly, the criteria for water electrolysis investments are prioritized using molecular fuzzy Bayesian network (BANEW). Thirdly, green hydrogen strategies for water electrolysis investments are ranked with molecular fuzzy multi-objective particle swarm optimization (MOPSO). The most important contribution of this study to the literature is the determination of the criteria that should be applied primarily for the performance increase of water electrolysis investments by creating a new model. The use of molecular fuzzy numbers is a very important contribution of the model to the literature. In this process, the use of three-dimensional geometric figures allows the reduction of uncertainties in decision-making processes. The findings indicate that lifespan of electrolysers and production capacity are the most essential criteria. Additionally, proton exchange membrane electrolysers and alkaline water electrolysis are found as the most critical green hydrogen strategies. Extending the life of electrolysers is crucial to increase sustainability in hydrogen production and reduce long-term costs. In this context, research incentives should be provided for the development of materials and technologies to increase the durability of electrolysers. Similarly, establishing quality standards to extend the life of electrolysers also contributes to achieving this goal.

Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study.

The advancement of large language models (LLMs) offers significant opportunities for health care, particularly in the generation of medical documentation. However, challenges related to ensuring the accuracy and reliability of LLM outputs, coupled with the absence of established quality standards, have raised concerns about their clinical application. This study aimed to develop and validate an evaluation framework for assessing the accuracy and clinical applicability of LLM-generated emergency department (ED) records, aiming to enhance artificial intelligence integration in health care documentation. We organized the Healthcare Prompt-a-thon, a competitive event designed to explore the capabilities of LLMs in generating accurate medical records. The event involved 52 participants who generated 33 initial ED records using HyperCLOVA X, a Korean-specialized LLM. We applied a dual evaluation approach. First, clinical evaluation: 4 medical professionals evaluated the records using a 5-point Likert scale across 5 criteria-appropriateness, accuracy, structure/format, conciseness, and clinical validity. Second, quantitative evaluation: We developed a framework to categorize and count errors in the LLM outputs, identifying 7 key error types. Statistical methods, including Pearson correlation and intraclass correlation coefficients (ICC), were used to assess consistency and agreement among evaluators. The clinical evaluation demonstrated strong interrater reliability, with ICC values ranging from 0.653 to 0.887 (P<.001), and a test-retest reliability Pearson correlation coefficient of 0.776 (P<.001). Quantitative analysis revealed that invalid generation errors were the most common, constituting 35.38% of total errors, while structural malformation errors had the most significant negative impact on the clinical evaluation score (Pearson r=-0.654; P<.001). A strong negative correlation was found between the number of quantitative errors and clinical evaluation scores (Pearson r=-0.633; P<.001), indicating that higher error rates corresponded to lower clinical acceptability. Our research provides robust support for the reliability and clinical acceptability of the proposed evaluation framework. It underscores the framework's potential to mitigate clinical burdens and foster the responsible integration of artificial intelligence technologies in health care, suggesting a promising direction for future research and practical applications in the field.

An Integrated Approach to Identify the Q-Markers of Banxia-Houpo Decoction Based on Nontargeted Multicomponent Profiling, Network Pharmacology, and Chemometrics.

The inherent complexity of traditional Chinese medicine (TCM) poses significant challenges in directly correlating quality evaluation with clinical efficacy. Banxia-Houpo Decoction (BHD), a classical TCM formula, has demonstrated efficacy in treating globus hystericus. However, the intricate composition of BHD, which contains both volatile and non-volatile active components, complicates efforts to ensure its consistent quality and clinical effectiveness. The aim of this study was to introduce an integrated approach that combines non-targeted multicomponent analysis, network pharmacology, and multivariate chemometrics to identify quality markers for the effective quality control of BHD. First, a nontargeted high-definition MSE method based on ultraperformance liquid chromatography-quadrupole time-of-flight-mass spectrometry (UHPLC-QTOF-MS) was developed for the comprehensive multi-component characterization of BHD. Next, the quality markers of nonvolatile compounds in BHD were identified through network pharmacology analysis. Subsequently, volatile organic compounds (VOCs) in BHD samples were analyzed via headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS). Finally, the orthogonal partial least squares discriminant analysis (OPLS-DA) model was applied to screen for potential markers. Based on in-house library-driven automated peak annotation and comparison with 25 reference compounds, 128 components were identified for the first time. Additionally, honokiol, magnolol, magnoflorine, 6-gingerol, rosmarinic acid, and adenosine were preliminarily identified as potential quality markers for BHD through network pharmacology analysis. By employing two complementary techniques, HS-SPME-GC-MS and HS-GC-IMS, a total of 145 volatile compounds was identified in the BHD samples. Four potential differential VOCs in the BHD samples were further identified based on the variable importance in projection (VIP ≥ 1.5) using HS-GC-IMS combined with chemometric analysis. In conclusion, this study not only contributes to establishing quality standards for BHD but also offers new insights into quality assessment and identification in the development of classical formulations enriched with volatile components.

Multidimensional Indicator for Data Quality Assessment in Wireless Sensor Networks: Challenges and Opportunities

Wireless Sensor Networks (WSN) are equipped with numerous sensors that generate vast quantities of data, essential for operational efficiency and informed decision-making. However, the value of this data is contingent upon its suitability for the specific applications it serves. A significant challenge in WSNs is the selection of appropriate data quality dimensions and metrics necessary to construct robust Data Quality Indicators (DQI) and comprehensively assess data quality in various contexts. This systematic literature review seeks to identify the key data quality dimensions and the corresponding measurement metrics within WSNs, while exploring the use of multi-dimensional data quality criteria in developing DQI. A thorough search of SCOPUS and Web of Science databases yielded 475 potential research articles, from which 64 primary studies were selected for in-depth analysis. The findings highlight four key data quality dimensions in WSN: accuracy, timeliness, completeness, and consistency. However, choosing measurement metrics for each dimension requires an in-depth understanding of the data's context. Various approaches for obtaining DQI in WSN research were identified, including weighted linear average models and application-specific contextual information. Effective DQI incorporates weights to each dimension, reflecting the priorities of specific data users, and leverages contextual information pertinent to the sensors’ data. It is crucial to evaluate whether the data collected by WSNs meets established quality standards, a key aspect of WSN operation. These insights will aid in developing more robust and reliable WSNs, ensuring the provision of high-quality data essential for effective operation and decision-making.

FEATURES OF THE MODERN HEALTHCARE MANAGEMENT SYSTEM

The article examines different approaches to the essence of the concepts of «management», «health care management», etc., based on which the interpretation of the concept of «health care management» is proposed. Conceptualization of the content of the terms «management» and «administration» is of great importance for the development of the conceptual and categorical apparatus not only of the theory of management and science in general, but also of modern branch theories. The variety of approaches is caused by the conditions of functioning of modern management systems in the field of health care, which is caused by the continuation of the reformation of the management system of the industry, the addition of the legal framework, the search for sources of financing, personnel support, and the development of infrastructure in most modern states. The article analyzes the object and subject of health care management as mandatory components of the structure of the health care system. The content of the main functions and methods of management in the field of health care is revealed. The interrelationship of functions and methods depending on the level of management and the applied model of organization of the health care system is analyzed. It is emphasized that the presence of different types of health care models depends not only on the method of financing and management, but also on the conformity of this model to the cultural, economic and social characteristics of the nation and the state. It is indicated that modern states, which continue the process of reforming the health care sector, can use the best practices of each of the presented models to create an effective and accessible system of medical care, capable of responding to modern challenges, with an effective management system. It has been established that the management system of the health care sector should be based on a number of scientific approaches that will allow taking into account all factors of the internal and external environment. It has been proven that the need to form an optimal management system is an important element of transformational processes in the field of health care. Today, the field of health care should be aimed at developing the capacity of health care institutions to meet the established quality standards, offer a favorable environment for the activities of medical workers, and meet the existing needs of citizens.

Breaking the Myths Around e-Cigarettes: A Narrative Review Exploring the Impact of e-Cigarette on Human Health.

In 2006, electronic cigarettes, or e-cigarettes, made their debut on the international scene. The term Electronic Nicotine Delivery Systems (ENDS) was introduced by the World Health Organization (WHO) in 2009 to refer to the many kinds of electronic cigarettes that include nicotine. This review article will provide a full investigation of the relationship between vaping and its effects on the body. The keywords utilized for search include "smoking cessation," "smoking," "e-cigarette use in adolescents," "human health," and "e-cigarettes." Our review goes into detail on the mechanism and components that make up a vaporizer.It explains how the components cause various side effects on human health. It is illustrated that vaping has various side effects and suggested that the risk of using vape should be educated to all. e-Cigarettes should be subjected to the same marketing limitations and establish quality standards for ingredients and functioning of e-cigarette devices. Thus, by deepening our understanding of these relationships and providing the results of the analysis accompanied by concise and meaningful illustrations to aid in understanding vaping and the physiological effects of the potential harm from vaping, we pave the way for future research on the quantity of puff to determine the harm level.

Unraveling the pharmaceutical footprint and risks of combining different aquaculture modes and tailwater treatment systems

Aquatic environments serve as repositories for pharmaceuticals, and intensive aquaculture is becoming a significant contributor to the discharge of aquaculture wastewater. The cyclical footprint of pharmaceuticals between the aquatic environment and aquaculture has emerged as a global concern. The environmental occurrence and risk assessment of pharmaceuticals in the aquatic environment via various aquaculture modes, as well as the pharmaceutical removal efficiency in different tailwater treatment systems, have been studied through yearly investigations. Thirty-four pharmaceuticals were detected in the aquaculture environment, and the dominant pharmaceuticals were enrofloxacin, sulfamethoxazole, amantadine, and florfenicol. The highest concentration of pharmaceuticals was found in the fish pond (3826 ± 29.6 ng/L) under the greenhouse aquaculture mode, especially in the early and late aquaculture stages, and the same trend was observed in the pond aquaculture mode. The tailwater removal efficiency was greater in summer months than other months, and the treatment efficiency of the recirculating treatment system was more stable. During the aquaculture period, a low risk was observed for most pharmaceuticals, except for enrofloxacin, sulfamethoxazole, ciprofloxacin and ofloxacin, which had at medium to high risk. High-risk pharmaceuticals show a high potential to contaminate the surrounding aquatic environment and adversely affect associated biota. Reassuringly, the ecological risks of the detected pharmaceuticals can be effectively reduced after tailwater treatment. This study provides valuable data for the growing system to assess risk in aquaculture and serves as a reference to establish quality standards for aquatic products.

MONITORING THE SAUSAGE PRODUCT USING LANEY DEMERIT CHART BASED ANALYTICAL HIERARCHY PROCESS

Ready-to-eat sausage is a food product that has a limited shelf life. Therefore, regularly monitoring the quality of packaged ready-to-eat sausage products is important to ensure that the products meet the established quality standards. Twelve types of product defects need to be observed in the final checking process to meet the quality standards, namely Wrinkle, Dots, Leaking, Product Stain, Non-standard Form, Poor Print Quality, Vacuum Leaks, Weak Ties, Body Defects, Uneven Length, Broken Node, and Small Stain. This study aims to apply the Laney Demerit Control Chart (LDCC) and Analytical Hierarchy Process-Integrated Statistical Process Control (AHP-ISPC) methods to monitor the quality of packaged ready-to-eat sausage production at XYZ Inc. The data is from the quality testing of ready-to-eat sausage products taken from XYZ Inc. for six months from April 1, 2023, until September 30, 2023. The findings reveal that conventional control charts (u control chart, demerit control chart, and AHP-based demerit control chart) exhibited oversensitivity because it is attributed to the large number of samples produced by the company, prompting the need for a more balanced approach. Implementing the Laney u control chart, Laney demerit control chart, and the AHP-based Laney demerit control charts successfully achieved statistical control in phase I. In contrast, phase II still demonstrated challenges, particularly with the AHP-based Laney Demerit Control Chart detecting the highest number of out-of-control points. This suggests that phase II remains statistically out of control, necessitating further analysis or corrective measures to enhance process stability. Additionally, the process capability analysis indicated that the production process during the specified period lacked capability, as evidenced by a capability index value below one (0.883).

The effect of season and agro-ecology on physicochemical properties of cow's raw milk in Central and North-Western Zone of Tigray, Ethiopia

Milk at a normal state has unique physical, chemical, and biological characteristics that are used as quality indicators. The quality of milk is influenced by many factors and the components of milk are very sensitive indicators for milk production practices. Season and agro-ecologies have influences on physicochemical properties of cow milk. Therefore, this research aimed to investigate the effect of season and agro-ecology on the physicochemical properties of cow's raw milk in Central and North-Western Zone of Tigray. The study was conducted in Aksum, Shire-Indaselassie, and Sheraro administrative towns. A two-stage sampling method was used to select both the study area and respondents. All towns in the Central and North-Western zones of Tigray were categorized into three agro-ecologies, and sample towns were purposively selected from each category based on accessibility and milk production potential. Sample respondents were then randomly selected from each agro-ecology. Agro-ecology categorization was based on altitude, temperature, and feeding practices, while seasons were classified according to rainfall and temperature. A total of 210 samples, comprising 35 samples from dairy farms and 35 samples from cafeterias within each agro-ecology, were analyzed to assess the physicochemical properties of cow milk across two different seasons. Physicochemical analysis including determination of fat, crude protein, solids not fat, density, lactose, salt, water added and freezing point was conducted in the laboratory of Mekelle University using Lacto scan, Bulgaria. The overall mean values of milk fat, solids-not-fat (SNF), protein, and lactose were 3.72 ± 0.12 %, 6.72 ± 0.17 %, 2.6 ± 0.08 %, and 3.72 ± 0.09 %, respectively. Specific gravity, salt content, water added, and freezing point exhibited mean values of 1.026 ± 0.001 g/ml, 0.53 ± 0.01 %, 19.33 ± 1.8 %, and −0.42 ± 0.01oC, respectively. Significant differences (p < 0.05) were observed in protein, solids-not-fat, lactose, and salt content among agro-ecologies, seasons, and sources of milk. Correlation analysis revealed positive correlations between specific gravity and solids-not-fat, protein, lactose, and total salt, while negative correlations were observed with water added and freezing point (p ≤ 0.01). In conclusion, the physical and chemical properties of cow's raw milk are influenced by agro-ecology, season, and the source of milk. Notably, milk adulteration, particularly with the addition of water, was more prevalent among cafeteria owners. Given the absence of established milk quality standards in Ethiopian conditions, it is imperative for the government to introduce quality standard measures, rules, and regulations to effectively control milk quality.

Electronic senses and UPLC-Q-TOF/MS combined with chemometrics analyses of Cynanchum species (Baishouwu).

Baishouwu, derived from Cynanchum auriculatum (CA) Royle ex Wight, Cynanchum bungei (CB) Decne., and Cynanchum wilfordii (CW) (Maxim.) Hemsl., is a valuable traditional Chinese medicine. CA is also recognized as a new food resource by China's National Health Commission. Given the considerable variations in flavor and chemical composition among these species and lack of their qualitative assessments, accurately differentiating between the species constituting Baishouwu is essential. To develop a method combining electronic tongue (E-tongue), electronic nose (E-nose), and ultra-performance liquid chromatography-quadrupole-time of flight/mass spectrometry (UPLC-Q-TOF/MS) to differentiate between Baishouwu samples. Fifteen batches of Baishouwu samples were analyzed using E-tongue, E-nose, and UPLC-Q-TOF/MS. Flavor differences and key differential metabolites were determined through principal component analysis and orthogonal partial least squares discriminant analysis. E-tongue results revealed umami, sweetness, and richness as the predominant flavors of Baishouwu, with CA having the highest umami response, CW exhibiting the highest bitterness, and CB the highest sweetness. E-nose sensors showed consistent responses across species, with variations in signal strength; W1W and W2W sensors showed the highest response values. A total of 158 and 41 characteristic variables in the positive and negative ion modes, respectively, were selected as candidate differential metabolites, of which 29 and 14 were confirmed through database comparison. Eight critical differential metabolites, including C21 steroids and acetophenone compounds, were identified. This study presents a strategy for differentiating among the species constituting Baishouwu, providing a basis for broader application and establishing quality standards for these medicinal compounds.

Comparison of the difference in the anti-inflammatory activity of two different color types of Farfarae Flos based on in vitro, in vivo experiments and untargeted metabolomics.

Due to its remarkable anti-inflammatory pharmacological activity, Farfarae Flos has gained extensive usage in the treatment of various inflammatory diseases such as bronchitis, pneumonia, prostatitis and colitis. And Farfarae Flos come in two color types depending on the color of the flowers: yellowish-white (YW), and purplish-red (PR). However, the difference in anti-inflammatory activity and metabolic profiles between the two flower colors remains unexplored. This study aims to explore the difference in the anti-inflammatory potential between YW and PR variants of Farfarae Flos and unravel the mechanisms responsible for the observed differences in anti-inflammatory activity through an integrated approach encompassing untargeted metabolomics and in vivo/vitro experimental studies. Initially, we verified the contrasting effects of YW and PR on the inhibition of the inflammatory factors interleukin-6 (IL-6) and nitric oxide (NO) by utilizing an in vitro RAW 264.7 cell inflammation model. Subsequently, a comprehensive evaluation of the systemic inhibitory capacity of YW and PR on IL-6, Interleukin-10 (IL-10), and tumor necrosis factor-α (TNF-α) was conducted using a validated whole-body mouse model, followed by the analysis of inflammatory factors and histological examination of collected serum, liver, and spleen after 7days. Furthermore, non-targeted metabolomics profiling was employed to analyze the metabolite profiles of Farfarae Flos with different colors, and quantitative analysis was conducted to identify differential metabolites between YW and PR. The correlation between the anti-inflammatory activities of differentially accumulated metabolites (DAMs) and Farfarae Flos was investigated, resulting in the identification of 48 compounds exhibiting significant anti-inflammatory activity. Additionally, KEGG pathway enrichment analysis was performed to elucidate the underlying mechanisms. Our findings demonstrate that both YW and PR possess anti-inflammatory abilities, with PR exhibiting significantly superior efficacy. The integration of in vivo/vitro experiments and non-targeted metabolomics confirmed the exceptional anti-inflammatory potential of PR and solidified its classification as the "purplish-red better" of Farfarae Flos. This study provides valuable insights into the breeding and medical transformation of Farfarae Flos varieties, along with a scientific basis for the establishment of quality standards and the development of new drugs utilizing Farfarae Flos.

FEATURES OF THE DESIGN AND IMPLEMENTATION OF INVESTMENT AND CONSTRUCTION PROJECTS UNDER CONDITIONS OF BALANCED DEVELOPMENT

The development and implementation of investment and construction projects on the basis of balanced development is critical for achieving sustainable growth. This article examines the key features and challenges associated with such projects, emphasizing the importance of integrating economic, environmental and social practices into construction activities. The study provides insights into best practices and strategies for effectively managing investment and construction projects to ensure long-term success and sustainability.The main goals of this article are the definition of the fundamental principles of balanced development in the context of investment and construction projects, the analysis of features that contribute to the achievement of balanced development.The article uses a comprehensive review of the literature and case studies, which allows for a holistic understanding of the multifaceted nature of investment and construction projects in conditions of balanced development. Emphasis is placed on the integration of sustainable development principles from the initial stages of design. This includes consideration of environmental impact assessment, efficient use of resources and use of sustainable materials and technologies. Also, the goal of project implementation is that the projects are economically feasible and provide long-term financial returns. This involves careful market analysis, cost-benefit analysis and risk management strategies to mitigate potential financial problems. The importance of involving all relevant stakeholders, including local communities, government bodies and investors, in the decision-making process is emphasized. Effective communication and collaboration are necessary to address diverse interests and reach consensus. Ensures compliance of projects with national and international rules and standards. This applies to environmental regulations, building regulations and labor legislation. Compliance minimizes legal risks and increases project credibility.Focused on optimizing the use of resources such as materials, labor and time, implementing lean construction methods and advanced project management practices can increase efficiency and reduce waste.The implementation of advanced technologies such as building information modeling (BIM), automation and renewable energy systems increase design accuracy, reduce costs and increase sustainability. Conformity of construction work to established quality standards, regular inspections, testing and adherence to best practices are critical to obtaining high quality results.Constant monitoring of project progress and effectiveness is emphasized. The use of key performance indicators (KPIs) and regular evaluations help to identify problems early and make the necessary adjustments.The development and implementation of investment and construction projects in conditions of balanced development requires a complex and integrated approach. By prioritizing sustainability, economic viability, stakeholder engagement and regulatory compliance, stakeholders can ensure these projects contribute positively to long-term growth and development. The paper provides a road map to navigate the complexities of such projects, ultimately contributing to a more resilient and sustainable human-made environment

Towards Establishing Quality Standards on Human Rights for Services in Dementia Care.

People with dementia often experience violations of fundamental human rights and impeded access to healthcare. This study aims to investigate the views of experts regarding the use of the United Nations Convention on the Rights of People with Disabilities (CRPD) principles as quality standards for human rights-based care. A single-round Delphi e-consultation with 15 dementia experts was designed to evaluate each CRPD principle and collect feedback on their views about the application of the CRPD principles in dementia care. The CRPD principles were fully endorsed as quality standards; however, several experts commented on the complexities of the use of CRPD principles in relation to information disclosure, capacity assessment, stakeholders' involvement in decision-making, respecting needs and preferences, holistic approaches in care practice, and protection against abuse, neglect and discrimination. These findings indicate the CRPD quality standards were fully applicable for people with dementia although some clarification around interpretation could assist in their use. Future research should elaborate on further points of support and guidance for dementia care providing examples of good practice from across the globe, and develop a concordant, human rights-based scheme for the implementation and evaluation of dementia services. This study suggests that the CRPD can serve as a benchmark for human rights-based practices in dementia services globally that could enhance nursing care practice. Nursing staff are encouraged to consider human rights in relation to the complexities associated with people with dementia, their caregivers, and other services involved in their care.

Sugar Content Composition of Various Types of Honey Produced by Apis Mellifera L.: A Review

The purpose of this review is to determine the sugar content profile in various types of honey produced by Apis mellifera, such as monofloral, unifloral, extra-floral, and honeydew. Generally, the goal is to assess the average sugar content parameters within acceptable ranges set by SNI, Codex, and EU as quality and sugar content requirements. Among the honey types studied, monofloral honey met the sugar standards but some samples were found to have low sugar content, ranging from 21.77% to 58.95%, below SNI and Codex standards. In contrast, unifloral, extra-floral, and honeydew honeys exhibited higher sugar levels, in accordance with established standards, ranging from 73.40% to 83.9%. The differences in sugar content among the types of honey produced by A. mellifera are influenced by nectar sources, geography, climate, and vegetation. Monofloral honey tends to have lower sugar content, while unifloral, extra-floral, and honeydew honeys are richer in sugar, making them more compliant with honey quality standards. Further research should focus on identifying plant species and the quantity of nectar that can consistently produce honey with sugar content meeting established quality standards.

Perbuatan Kelalaian Oleh Konsultan Pengawas Konstruksi Atas Bangunan Yang Menyebabkan Kerugian Negara

Construction supervision consultants are essential for infrastructure and construction projects that involve public funds. Construction supervision consultants are responsible for ensuring that projects run according to standards, comply with regulations, and reduce the risk of failure or accidents. Negligence committed by construction supervision consultants includes lack of supervision of project implementation to the point of not complying with established quality and safety standards. This study utilizes normative research methods, also known as legal research methods, positive legal research methods, doctrinal legal research methods, and pure legal research methods. During a construction project, the supervising consultant ensures that all work is carried out in accordance with the established technical specifications and quality standards. Ensuring that all projects are executed with professionalism and regulatory compliance, the consultant is responsible for reporting and documenting all important aspects of the project as well as managing changes that may occur during the construction process. The concept of negligence includes various types of non-compliance with technical standards, inaccurate planning, negligence in supervision and monitoring, corruption, and opacity in the construction process. The negligence of construction supervision consultants can negatively impact the success of the construction project itself.

Analysis of Drinking Water Quality among Employees of Sulianti Saroso Infectious Disease Hospital

Drinking water is water through or without processing that meets health requirements and can be drunk directly. The aim of the study is to check the quality of drinking water for employees of Sulianti Saroso Infectious Disease Hospital (SSIDH) so that it is suitable or not for consumption in accordance with established quality standards. Drinking water sampling is carried out twice a year with a sampling point of 8 (eight) samples at every 6 (six) months. Based on the results of physical tests, namely smell, turbidity, taste, temperature, total dissolved solids, and color, it shows that the employee's drinking water has met the quality standards according to applicable regulations. Chemical drinking water quality requirements show pH concentrations ranging from 7.22 – 8 and other parameters including organic substances have met the quality standard requirements. Biological test results show the bacteriological quality of drinking water Total Coliform and Escherichia Coli is 0 according the required quality standard of 0 per 100 ml. The quality of drinking water for employees of RSPI Prof. Dr. Sulianti Saroso based on the results of laboratory examinations shows 100% of samples meet the requirements in accordance with the drinking water quality standard.

One-to-Nine Single Spectroscopic Intelligent Probe for Risk Assessment of Multiple Metals in Drinking Water.

26% of the world's population lacks access to clean drinking water; clean water and sanitation are major global challenges highlighted by the UN Sustainable Development Goals, indicating water security in public water systems is at stake today. Water monitoring using precise instruments by skilled operators is one of the most promising solutions. Despite decades of research, the professionalism-convenience trade-off when monitoring ubiquitous metal ions remains the major challenge for public water safety. Thus, to overcome these disadvantages, an easy-to-use and highly sensitive visual method is desirable. Herein, an innovative strategy for one-to-nine metal detection is proposed, in which a novel thiourea spectroscopic probe with high 9-metal affinity is synthesized, acting as "one", and is detected based on the 9 metal-thiourea complexes within portable spectrometers in the public water field; this is accomplished by nonspecialized personnel as is also required. During the processing of multimetal analysis, issues arise due to signal overlap and reproducibility problems, leading to constrained sensitivity. In this innovative endeavor, machine learning (ML) algorithms were employed to extract key features from the composite spectral signature, addressing multipeak overlap, and completing the detection within 30-300 s, thus achieving a detection limit of 0.01 mg/L and meeting established conventional water quality standards. This method provides a convenient approach for public drinking water safety testing.

Identifikasi Kualitas Fisik dan Kimia Air Sumur Gali di Wilayah Produksi Terasi di Dusun Jor Desa Jor Kecamatan Jerowaru Kabupaten Lombok Timur

This research aims to determine the physical and chemical quality of dug well water in the area where shrimp paste (terasi) is produced at Jor Hamlet, Jor Village, Jerowaru Subdistrict, East Lombok Regency. The research method used was experimental, focusing on parameters such as temperature, pH, TDS, and hardness based on the Indonesian National Standard (SNI) guidelines. Three sampling points of community dug well water were selected with sampling conducted twice, considering the sampling points based on the distance between the dug wells and the shrimp paste production area being less than 10 meters, and due to the absence of proper wastewater disposal systems at the shrimp paste production site. From the results of the examination of the physical and chemical water quality around the shrimp paste production area in Jor Hamlet, Jor Village, Jerowaru Subdistrict, East Lombok Regency, it was found that several parameters met the requirements according to the Indonesian Ministry of Health Regulation Number 32 of 2017 concerning the Standard of Environmental Health Quality and Health Requirements for Hygiene, Swimming Pools, Solus Per Aqua, and Public Bathing. Parameters such as temperature, pH, and TDS met the standards. However, the examination revealed that the hardness of the dug well water exceeded the standard in one out of the three sampling points. Specifically, samples A and B met the standard for hardness, whereas sample C did not meet the standard because it exceeded the established quality standard of 500 mg/l.

PEMANFAATAN EKOENZIM DARI KULIT BUAH-SAYUR UNTUK PENINGKATAN KUALITAS AIR DANAU BATUR DI KECAMATAN KINTAMANI BANGLI, BALI

Eco enzyme production through the fermentation process of household waste, such as leftover fruit and vegetables can also be a solution to minimize waste from its source. This research aims to determine the effect of a mixture of organic materials, fruit and vegetable waste eco enzyme on pH, and the effect of eco enzyme dosage on improving the water quality of Lake Batur, Kintamani Bali. Making eco enzymes using vegetable and fruit waste. water, molasses in a ratio of 3: 10: 1. The liquid is fermented for 3 months while observing the fermentation process. Eco enzyme is harvested and filtered, ready for testing to improve the water quality of Lake Batur. The results of observations of making eco enzyme can be explained that in the first 4 weeks, there was a change in colour with shades of brown to reddish, after the fourth week the colour was relatively stable (no colour change. Changes in pH during the process of making eco enzymes were related to variations in the composition of organic material (vegetable residues. There was a decrease in pH). with an average of up to 1 digit, the highest reduction occurred in ingredients containing papaya, mango and mustard greens. Eco enzymes can improve water quality as indicated by several water quality parameters, but are not enough to achieve conformity with the established quality standards. Keyword: Eco Enzyme; Water Quality; Batur Lake

Penerapan Evaluasi Manajemen Mutu Terpadu Pendidikan di MTs N 2 Mandailing Natal

This research aims to describe of explain the implementation of integrated education quality management evaluation at MTs N 2 Mandailing Natal. This research uses a descriptive method with a qualitative approach. The main respondent in this research was the Deputy Head of Madrasah Mts N 2 Mandailing Natal for Student Affairs. Data was collected through observation, interviews and documentation, including the use of madrasah social media to find additional sources of information. Evaluation of integrated education quality management is a systematic process that aims to ensure that all aspects of educational institutions run in accordance wint established quality standards. The evaluation carried out at MTs N 2 Mandailing Natal was fomative and summative and based on eight national education standards consisting of; student evaluation, teaching staff evaluation, and infrastructure evaluation, and curriculum evaluation. Evaluations are carried out periodically and in accordance with each main task and function, which means there are no obstacles in impementing the integrated education quality management evaluation process at MTs N 2 Mandailing Natal.