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Generasi Z’s Perception of Dining Experience at Korea Restaurants, South Jakarta Generasi Z对南雅加达韩国餐厅用餐体验的看法
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i10.422
Heru Suheryadi, Bayu Dian Sua Pratama, Siti Rahmah Farahdiba, Upit Elya Rohimi
Culinary tourism is a strong attraction and can improve the standard of living of local residents. The strong growth of the Korean food industry proves that Korean food is well received by various circles, one of which is Generation Z. The trend of Korean culture in this era of globalization is very strong so that it easily penetrates into Indonesia, especially South Jakarta. The variety of Korean food choices offered has increased consumers perception of choosing location, atmosphere, and food as an attraction. The restaurant business is now not only delicious food, restaurant business people are now also required to present a memorable dining experience. This study aims to understand the perception of Generation Z on the dining experience at a South Jakarta Korean restaurant. The sampling technique in this study was Generation Z, with 100 respondents. This research is described in 4 perceptual factors, namely motivation, interest, experience, and expectations. The data analysis technique used is descriptive analysis, validity test, and reliability test. Based on the results of the questionnaire distributed, generation Z chose Moon Chicken as their favorite Korean restaurant because it has memorable service. Korean restaurants have a min taste that is not to strong and there is curiosity about the interior design of Korean restaurants, which is different from other restaurant.
烹饪旅游具有很强的吸引力,可以提高当地居民的生活水平。韩国食品产业的强劲增长证明了韩国食品受到各个阶层的欢迎,其中之一就是z世代。在这个全球化时代,韩国文化的趋势非常强烈,因此很容易渗透到印度尼西亚,特别是南雅加达。韩国食品的多样性增加了消费者选择地点、氛围、食物作为吸引力的观念。现在的餐饮经营不仅仅是美味的食物,现在的餐饮经营人士还要求呈现一种令人难忘的用餐体验。本研究旨在了解Z世代对南雅加达一家韩国餐厅用餐体验的看法。本研究的抽样技术是Z世代,有100名受访者。本研究从动机、兴趣、经验和期望四个感知因素来描述。使用的数据分析技术是描述性分析、效度检验和信度检验。根据发放的问卷调查结果,Z一代最喜欢的韩国餐厅是Moon Chicken,因为它的服务令人难忘。韩国餐厅的味道不太浓,而且与其他餐厅不同的室内设计也令人好奇。
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引用次数: 0
AI'S Healing Touch: Examining Machine Learning's Transformative Effects On Healthcare 人工智能的治愈之触:检视机器学习对医疗保健的变革性影响
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i10.448
Ali Husnain, Saad Rasool, Ayesha Saeed, Ahmad Yousaf Gill, Hafiz Khawar Hussain
In the realm of healthcare, artificial intelligence (AI) emerges as a transformative force, reshaping established practices and offering unprecedented advancements. This comprehensive analysis delves into the multifaceted ways AI is revolutionizing healthcare, focusing on its transformative capabilities, inherent challenges, and the crucial ethical complexities entwined in its application. The challenge lies in balancing transparency and accountability amid the intricate algorithms, particularly concerning the interpretability of AI-generated insights. The analysis explores ethical dilemmas tied to patient autonomy and the evolving responsibilities of healthcare providers. It advocates for open dialogue among AI systems, patients, and healthcare professionals, navigating the delicate balance between innovation and patient welfare. The article emphasizes the imperative for robust ethical frameworks and regulations governing AI implementation in healthcare. The comprehensive investigation concludes by exploring AI's potential applications in healthcare, envisioning improved medical procedures, drug discoveries, remote patient monitoring, and diagnostic enhancements. To harness AI's transformative power while safeguarding patient interests, collaboration between healthcare professionals, data scientists, policymakers, and ethicists is paramount. This abstract encapsulates the profound shifts AI has initiated in healthcare, underscoring the vital need to harness its potential while addressing the ethical and regulatory complexities arising with its integration. Ultimately, it portrays a holistic view of AI's evolving role in healthcare, highlighting its potential to revolutionize patient care, medical practices, and the entire healthcare landscape.
在医疗保健领域,人工智能(AI)作为一种变革力量出现,重塑了既定的实践并提供了前所未有的进步。这份全面的分析深入探讨了人工智能在医疗保健领域掀起革命的多方面方式,重点关注其变革能力、内在挑战以及在其应用中纠缠在一起的关键伦理复杂性。挑战在于在复杂的算法中平衡透明度和问责制,特别是在人工智能生成的见解的可解释性方面。该分析探讨了与患者自主和医疗保健提供者不断发展的责任相关的道德困境。它倡导人工智能系统、患者和医疗保健专业人员之间的公开对话,在创新和患者福利之间取得微妙的平衡。文章强调了在医疗保健中实施人工智能的强有力的道德框架和法规的必要性。这项全面的调查最后探讨了人工智能在医疗保健领域的潜在应用,设想了改进的医疗程序、药物发现、远程患者监测和诊断增强。为了在保护患者利益的同时利用人工智能的变革力量,医疗保健专业人员、数据科学家、政策制定者和伦理学家之间的合作至关重要。这篇摘要概括了人工智能在医疗保健领域引发的深刻变化,强调了利用其潜力同时解决其整合所带来的伦理和监管复杂性的至关重要的必要性。最后,它描绘了人工智能在医疗保健领域不断发展的角色的整体观点,强调了其革命性的病人护理、医疗实践和整个医疗保健领域的潜力。
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引用次数: 0
Falling Into the Same Hole: Abandoning Cigarettes, Approaching E-Cigarettes 掉进同一个洞:放弃香烟,走向电子烟
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i10.441
Sheila Jessica Claudia, Ratu Mega, Lola Delvira
Effective communication regarding the risks associated with electronic cigarettes is a crucial part of efforts to control their usage, and incorporating elements of fear is an effective method to achieve proper regulation. This research, utilizing content analysis methodology, examined three online news articles from Indonesian news portals: Kompas.com, IDNTimes.com, and Detik.com. The study aimed to describe how online news conveys the dangers of using electronic cigarettes using the Extended Parallel Process Model (EPPM). The research method employed was content analysis. EPPM explains how people manage the fear evoked by threat messages. There are two key factors that can explain how individuals respond to fear messages. The first factor is the perception of threat, consisting of the severity and vulnerability to the threat. The second factor is the perception of efficacy, consisting of response efficacy and self-efficacy. The research findings indicate that online news coverage prioritizes the perception of threat. Conversely, the aspect of efficacy perception still needs to be applied in reporting the dangers of electronic cigarettes. These results are also influenced by ethical codes, journalistic principles, and cultural influences.
关于电子烟相关风险的有效沟通是控制其使用的关键部分,而将恐惧因素纳入其中是实现适当监管的有效方法。本研究采用内容分析方法,调查了印度尼西亚新闻门户网站Kompas.com、IDNTimes.com和Detik.com的三篇在线新闻文章。该研究旨在利用扩展平行过程模型(epppm)描述在线新闻如何传达使用电子烟的危险。研究方法为内容分析法。epm解释了人们如何管理由威胁信息引起的恐惧。有两个关键因素可以解释个人对恐惧信息的反应。第一个因素是对威胁的感知,包括对威胁的严重性和脆弱性。第二个因素是效能感的感知,包括反应效能感和自我效能感。研究结果表明,网络新闻报道优先考虑威胁的感知。相反,在报告电子烟的危害时,仍然需要应用功效感知方面的内容。这些结果还受到道德规范、新闻原则和文化影响的影响。
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引用次数: 0
The impact of Economic Growth, Foreign Investment, Wages, and Human Development Index on Educated Unemployment 经济增长、外国投资、工资和人类发展指数对受教育失业的影响
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i10.453
Reyna Karlina, Aula Ahmad Hafidh Siaful Fikri
This study aims to measure four independent variables and one dependent variable using secondary data in the form of panel data comprising 27 districts/cities in a cross-section and a time series over 5 years. The data analysis method employed is panel data regression with the random effects method. Eviews version 12 was utilized for data processing, including testing classical assumptions, hypothesis testing, and testing the Adjusted coefficient of determination (R2). The research findings indicate significant relationships between specific variables and educated unemployment. Economic Growth negatively and significantly impacts educated unemployment, demonstrating its ability to decrease educated unemployment in the region. Minimum District Wage positively and significantly influences educated unemployment, implying that increasing UMK in an area can elevate the number of educated unemployed individuals. Additionally, the Human Development Index (HDI) exerts a negative and significant effect on educated unemployment, suggesting that higher HDI can reduce educated unemployment. However, foreign investment does not significantly affect educated unemployment. Overall, the study shows that these four independent variables explain 67.8% of educated unemployment, while the remaining 32.2% is influenced by factors beyond the study's scope.
本研究的目的是测量四个自变量和一个因变量,使用二次数据的形式,面板数据包括27个地区/城市的横截面和时间序列超过5年。数据分析采用随机效应面板数据回归方法。使用Eviews version 12进行数据处理,包括经典假设检验、假设检验和调整后的决定系数(R2)检验。研究结果表明,特定变量与受过教育的失业之间存在显著关系。经济增长对受教育失业有显著的负向影响,表明经济增长有能力降低该地区的受教育失业。最低地区工资对受过教育的失业人数有显著的正向影响,这意味着提高一个地区的最低地区工资可以提高受过教育的失业人数。此外,人类发展指数(HDI)对受过教育的失业有显著的负向影响,表明更高的HDI可以减少受过教育的失业。然而,外国投资对受过教育的失业没有显著影响。总体而言,研究表明,这四个自变量解释了67.8%的受过教育的失业,而剩下的32.2%则受到研究范围之外的因素的影响。
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引用次数: 0
Analysis of CT Numbers in Thoracic CT Scan Image Segmentation and Spirometry on Pulmonary Vital Capacity 胸部CT扫描图像分割中的CT数分析及肺活量测定
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i10.450
Annila Suryo Saputro, Lenny Latifah, Siti Masrochah
This research aims to analyze the correct CT Number to calculate the capacity volume of vital lungs using process segmentation image CT Scans. Compare results from capacity volume vital lungs on segmentation with results measurement volume capacity vital from spirometry. The research method used is an applied experiment that compares the results of lung vital capacity volume in segmentation with the results of vital capacity volume measurements from spirometry. Testing is carried out by calculating each volume on the CT Number used in segmentation and then comparing it with results from spirometry. Analysis data use test Correlation Pearson And Test paired Q Test Results study show that application segmentation image CT Scans with CT Numbers -850 HU up to -950 HU is quite good in calculating the volume of vital lung capacity. There is no significant difference between the results of lung vital capacity volume in segmentation and the results of vital capacity volume measurements in spirometry with a value (p > 0.05) of 0.06. The conclusion of this research is that segmentation image CT Scans of Thorax with the use of CT Numbers -850 HU until -950 HU can considered as an alternative in calculating the volume of vital lung capacity in patients with COPD.
本研究旨在利用过程分割图像的CT扫描,分析正确的CT数来计算重要肺的容量体积。将肺活量分割结果与肺活量测量结果进行比较。本研究采用应用实验的方法,将肺活量分割结果与肺活量测量结果进行对比。通过计算分割中使用的CT Number上的每个体积,然后将其与肺活量测定的结果进行比较,从而进行测试。分析数据采用相关性Pearson和配对检验Q检验结果研究表明,CT编号为-850 HU ~ -950 HU的分割图像CT扫描在计算肺活量方面具有较好的效果。肺活量分割结果与肺活量测量值(p >0.05) = 0.06。本研究的结论是,使用CT编号-850 HU至-950 HU的胸部分割图像CT扫描可以作为计算COPD患者肺活量的替代方法。
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引用次数: 0
Mucinous Tubular and Spindle Cell Carcinoma of Kidney: A Case Report of a Rare Tumor 肾粘液管状和梭形细胞癌:一例罕见肿瘤
Pub Date : 2023-10-30 DOI: 10.58344/jws.v2i9.425
Antonius Galih Pranesdha Putra, Taufik Indrawan
The objective of this research is to enhance the understanding and recognition of Mucinous Tubular and Spindle Cell Carcinoma of the Kidney (MTSCC-K), a rare renal tumor occurring in less than 1% of all renal tumors. The focus is on improving clinical diagnosis, understanding the tumor's characteristics, and exploring the prognosis and implications for patients. The method used in this research is a case study. The results of this research indicate that Clinical Presentation: MTSCC-K predominantly occurs in women and often presents with flank pain, similar to other renal tumors. However, it may lack other typical symptoms such as significant weight loss or urinary problems. Imaging Characteristics: CT scans may reveal solid masses with patchy calcification, often protruding outside the renal contour. These specific imaging features can aid in the differential diagnosis of MTSCC-K Histopathological Features: MTSCC-K is characterized by small, elongated cords or tubules arranged densely, with interspersed myxoid stroma. The presence of slender tubular spindle cell-like structures is a distinctive feature Prognosis: Patients with MTSCC-K, especially when diagnosed early and treated with radical nephrectomy, have a comparatively good prognosis compared to other renal cell carcinomas. The lack of identified metastases in the presented case also supports a positive prognosis. Implications of this research include: Increased awareness among doctors and radiologists about the unique clinical and imaging features of MTSCC-K can lead to faster and more accurate diagnoses.
本研究的目的是提高对肾粘液管状和梭形细胞癌(MTSCC-K)的理解和认识,这是一种罕见的肾脏肿瘤,发生率不到所有肾脏肿瘤的1%。重点是提高临床诊断,了解肿瘤的特点,并探讨预后和对患者的影响。本研究使用的方法是个案研究。临床表现:MTSCC-K主要发生于女性,常表现为侧腹疼痛,与其他肾脏肿瘤相似。然而,它可能没有其他典型症状,如明显的体重减轻或泌尿系统问题。影像学特征:CT扫描可显示斑块状钙化的实性肿块,常突出于肾外轮廓。这些特异的影像学特征有助于MTSCC-K的鉴别诊断。组织病理学特征:MTSCC-K表现为小而细长的索或小管密集排列,并伴有弥散的粘液样间质。细长管状梭形细胞样结构的存在是一个独特的预后特征:与其他肾细胞癌相比,MTSCC-K患者,特别是早期诊断并接受根治性肾切除术治疗,预后相对较好。在本病例中,缺乏确定的转移也支持积极的预后。本研究的意义包括:提高医生和放射科医生对MTSCC-K独特的临床和影像学特征的认识,可以更快、更准确地诊断。
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引用次数: 0
Analysis of Leadership Style, Organizational Culture, and Organizational Commitment on Employee Performance Moderated by Reward System 奖励制度对领导风格、组织文化、组织承诺对员工绩效的影响分析
Pub Date : 2023-10-27 DOI: 10.58344/jws.v2i10.446
Jones Pahotan, Chandra Wibowo Widhianto
Employee performance has a very important role in the success of a company. Employees who have good performance will help the company achieve its goals and vision, but not all have good performance; some employees only meet sufficient criteria, as happened with the employees of RM SME Regional Office Jakarta 1 PT. Plat Merah Berwarna Biru Bank. This research aims to analyze the role of reward system variables in moderating the influence of leadership style, organizational Culture, and organizational commitment on employee performance. This research is categorized as causality research with a quantitative approach. The sample was determined using a simple random sampling technique. Research data was collected by distributing questionnaires to 145 samples. Data analysis was carried out using the partial least squares method through the SmartPLS version 3 program. The research results show that each variable of leadership style, organizational culture, organizational commitment, and reward system directly has a significant effect on employee performance. The reward system can only moderate the influence of organizational culture on employee performance, but the reward system has yet to moderate the influence of leadership style and organizational commitment on employee performance.
员工的表现对公司的成功起着非常重要的作用。绩效好的员工会帮助公司实现目标和愿景,但并不是所有的员工都有良好的绩效;有些员工只符合足够的标准,就像RM中小企业雅加达地区办事处1 PT. Plat Merah Berwarna Biru Bank的员工一样。本研究旨在分析薪酬制度变量在调节领导风格、组织文化和组织承诺对员工绩效的影响中的作用。本研究被归类为定量方法的因果关系研究。使用简单的随机抽样技术确定样本。通过对145个样本发放问卷收集研究数据。数据分析采用偏最小二乘法通过SmartPLS版本3程序进行。研究结果表明,领导风格、组织文化、组织承诺、奖励制度等各变量对员工绩效均有直接的显著影响。奖励制度只能调节组织文化对员工绩效的影响,而奖励制度还没有调节领导风格和组织承诺对员工绩效的影响。
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引用次数: 0
Ideological Battles Ahead of The First General Election in South Sulawesi 南苏拉威西省首次大选前的意识形态之争
Pub Date : 2023-10-27 DOI: 10.58344/jws.v2i10.458
Khaerul Amri, Ilham Daeng Makkelo, Amrullah Amir
This study focuses on the ideological struggle in the 1955 elections in South Sulawesi. The practice of democracy made SARA the main menu of its implementation. Collected in electoral district twelve, South Sulawesi was in a tense political situation—the relaxation of the rules for organizing elections added to the dark traces of organizing this democratic party. The historical method is used in this research, which formulates research problems from a historical perspective. The procedures include searching and collecting sources (heuristics), source criticism (selection of materials), interpretation and comparison, and presenting or writing history (historiography). The results of this study show that the Masyumi party benefited from the pre-election situation in South Sulawesi. First, political campaigns were organized under the guidance of religion. Second, several Regional Heads affiliated with the Masyumi Party and election organizers facilitated Masyumi's interests toward the peak of power. Third, the interpretation of government regulations and circulars gave birth to the struggle strategy of the Star Moon banner. Fourth, Muhammadiyah's bipolar role in the Election Winning Action Committee.
本文以1955年南苏拉威西省选举中的意识形态斗争为研究对象。民主的实践使SARA成为其实施的主要菜单。南苏拉威西岛聚集在第12选区,当时政治局势紧张——组织选举规则的放松给这个民主政党的组织增添了黑暗的痕迹。本研究采用历史的方法,从历史的角度来阐述研究问题。这些过程包括搜索和收集资料来源(启发式),资料来源批评(材料选择),解释和比较,以及呈现或撰写历史(史学)。研究结果表明,Masyumi党受益于南苏拉威西的选前形势。一是在宗教的引导下组织政治运动。第二,与Masyumi党有关联的几个地区首长和选举组织者帮助Masyumi走向权力的顶峰。第三,政府法规和通告的解读催生了星月旗的斗争策略。第四,穆罕默德迪亚在选举获胜行动委员会中的两极化角色。
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引用次数: 0
Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses - a Comprehensive Review of AI's Impact on Medical Diagnosis 医疗保健革命:机器学习如何改变患者诊断-人工智能对医疗诊断影响的全面回顾
Pub Date : 2023-10-27 DOI: 10.58344/jws.v2i10.449
Ahmad Yousaf Gill, Ayesha Saeed, Saad Rasool, Ali Husnain, Hafiz Khawar Hussain
The integration of machine learning into healthcare heralds a new era where the convergence of technology and human compassion reshapes the very essence of healing. This monumental shift transcends mere technological advancement; it represents a profound evolution in patient care. By unraveling intricate patterns within medical data, machine learning empowers healthcare professionals with early disease detection and precise risk assessment, augmenting human intuition rather than replacing it. This synergy between AI-driven insights and human expertise has led to remarkable achievements, from redefining radiological interpretations to foreseeing infectious disease outbreaks, painting a future where healthcare is not only precise but profoundly patient-centered. Yet, amidst these groundbreaking advancements, ethical considerations stand as pillars guiding responsible innovation. Upholding patient autonomy, ensuring data privacy, and addressing algorithmic bias are essential to maintain trust and integrity. As we navigate this transformative path, the promise of a healthcare landscape where healing becomes a symphony of technology and tradition becomes evident. It is a future where the well-being and hopes of millions are at the core, promising a brighter, more compassionate tomorrow for healthcare, where every diagnosis, treatment, and act of care resonates with the harmony of human expertise and technological marvels.
机器学习与医疗保健的融合预示着一个新时代的到来,在这个时代,技术和人类同情心的融合重塑了治疗的本质。这一重大转变不仅仅是技术进步;它代表了病人护理的深刻演变。通过揭示医疗数据中的复杂模式,机器学习使医疗保健专业人员能够进行早期疾病检测和精确的风险评估,增强而不是取代人类的直觉。人工智能驱动的见解与人类专业知识之间的协同作用带来了非凡的成就,从重新定义放射学解释到预测传染病爆发,描绘了一个医疗保健不仅精确而且以患者为中心的未来。然而,在这些突破性的进步中,道德考虑是指导负责任创新的支柱。维护患者自主权、确保数据隐私和解决算法偏见对于维护信任和诚信至关重要。当我们在这条变革的道路上航行时,医疗保健领域的前景变得明显,在这里,治疗成为技术和传统的交响乐。这是一个以数百万人的福祉和希望为核心的未来,承诺为医疗保健提供一个更光明、更富有同情心的明天,在那里,每一个诊断、治疗和护理行为都与人类专业知识和技术奇迹的和谐相呼应。
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引用次数: 0
Profile of Student’s Actual Competencies on Atomic Structure Topic using E-Module based on RADEC Model 基于radc模型的电子模块原子结构主题学生实际能力概况
Pub Date : 2023-10-26 DOI: 10.58344/jws.v2i10.443
Fadhliyatul Yauna, Wahyu Sopandi, Wawan Wahyu
Atomic structure material is one of the chemistry topics that is abstract and complex. Learning topics that contain abstract and complex material requires high-level reasoning and thinking. This research aims to describe students' actual abilities in atomic structure material using an e-module based on the RADEC model. This research method is development research that adapts the Borg & Gall design. The subjects of this research were 31 students in the experimental class and 37 students in the control class. This research was conducted at one of the high schools in the city of Bandung. Students' abilities are measured through pretest questions and assignment of pretest questions. The data analysis used in this research is descriptive analysis and n-gain. This research showed that the actual competence of students in the experimental class had an n-gain of 0.58 and was in the medium category. In contrast, the actual competence of students in the control class had an n-gain of 0.29 and was in the low category. Thus, learning using e-modules based on the RADEC model can improve students' competence. The results of the student perception survey show that RADEC-based e-modules are very helpful in independent learning and completing assignments.
原子结构材料是抽象而复杂的化学课题之一。学习包含抽象和复杂材料的主题需要高水平的推理和思维。本研究旨在利用基于radc模型的电子模组来描述学生在原子结构材料上的实际能力。这种研究方法是适应Borg的开发研究。胆的设计。本研究的对象为实验班的31名学生和对照组的37名学生。这项研究是在万隆市的一所高中进行的。学生的能力是通过预试题和预试题的分配来衡量的。本研究使用的数据分析是描述性分析和n增益。本研究表明,实验班学生的实际能力n增益为0.58,处于中等水平。对照班学生的实际能力n增益为0.29,处于低水平。因此,使用基于radc模型的电子模块学习可以提高学生的能力。学生感知调查结果表明,基于radec的电子模块对自主学习和完成作业有很大的帮助。
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引用次数: 0
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World Journal of Science Technology and Sustainable Development
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