A Model of Design and Implementation Micro-credentials in TVET: A Promising and Flexible Pathway to Employment and Skill Development

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The article explores the increasing importance of micro-credentials in Vocational Education and Training (VET) as an innovative response to the rapidly changing demands of the job market. Micro-credentials are defined as short, focused educational programs that provide learners with specific skills or competencies. Unlike traditional qualifications, which often require extensive time and cover a broad range of topics, micro-credentials offer a more streamlined pathways approach to education, addressing targeted skills directly relevant to industry needs. The article emphasizes the benefits of micro-credentials, which include improved employability, personalized learning experiences, cost-effectiveness, and enhanced support for lifelong learning. These benefits make micro-credentials particularly attractive in industries where specialized skills are highly valued. The growing recognition of micro-credentials among employers underscores their increasing relevance as a means to bridge the gap between education and workforce requirements. The methodology presented in the article is grounded in secondary data analysis. This approach serves as a foundation for the development of a unique, personalized model designed by the author. The model specifically addresses the integration of micro-credentials into TVET, with a focus on technical programs. The model aims to align TVET offerings with labor market demands, taking into account the skills gaps and trends identified through data analysis. By employing existing research and insights, the author has crafted a framework that emphasizes practicality and relevance in meeting workforce needs. The findings highlight the transformative potential of micro-credentials in fostering skill acquisition and professional development. These programs are shown to provide a flexible and targeted learning approach, effectively addressing the specific competencies required by modern industries. The author’s model demonstrates how micro-credentials can be seamlessly integrated into TVET programs, offering tailored solutions for addressing workforce challenges. The increasing acceptance of micro-credentials by employers further validates their relevance as an essential component of modern education systems. In conclusion, the article advocates for the integration of micro-credentials into TVET systems as a strategic approach to enhancing workforce readiness and adaptability. By offering a practical, cost-effective, and flexible pathway to skills development, micro-credentials bridge the gap between education and employment. The proposed model provides a robust framework for incorporating micro-credentials into technical programs, ensuring alignment with industry requirements and fostering lifelong learning opportunities. This integration represents a vital step in addressing the dynamic needs of the labor market.

The Model “SMART”- an Innovation for Achieving Future Success in TVET Students: An Empirical study

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The “SMART” school innovation project represents a significant advancement in addressing the challenges faced by students in technical vocational education and training (TVET) programs, particularly concerning their mathematical proficiency. Recent analyses of state matriculation exam results have highlighted a troubling decline in mathematics achievement among students, which poses a substantial barrier to their academic and professional success in TVET learning classes. In response to this issue, the SMART project has been designed to enhance students’ academic performance while cultivating a more inclusive and engaging learning environment. At the core of the SMART project is a differentiated instruction approach to those groups’ students according to their mathematical abilities. This method allows educators to tailor their teaching strategies to meet the diverse needs of students, ensuring that both advanced learners and those struggling with foundational concepts receive appropriate support. By creating specific groups- advanced, intermediate, and those with significant gaps—and regrouping students from different professions into new classes, the project enables targeted interventions that address individual learning needs. This approach allows for simultaneous instruction in mathematics across all new mixed-profession classes, enabling personalized support due to the equal curriculum and equal allocation of hours. This structured grouping not only helps in identifying and addressing knowledge deficits but also promotes a collaborative learning atmosphere where students can thrive. The project emphasizes the importance of regular progress monitoring, with systematic evaluations conducted every two months. This ongoing assessment enables educators to make timely adjustments to teaching strategies and group placements, ensuring that students are continuously challenged and supported. Furthermore, the project incorporates innovative and interactive teaching methods designed to engage students actively in the learning process, moving away from traditional, monotonous approaches. By establishing a comprehensive framework for educational improvement, the project not only seeks to elevate students’ proficiency in mathematics but also aims to create a holistic approach to learning that prioritizes the diverse needs of all learners. The SMART project is poised to make a lasting impact on the educational landscape, equipping students with the necessary skills and confidence to excel in their future studies and professional endeavors. By addressing the root causes of low mathematics achievement and fostering a supportive learning environment, the project aims to prepare students for the challenges they will face in both their academic and career paths.

Mastering Business Leadership: The Value of an MBA in Today’s World

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The Master of Business Administration (MBA) is widely recognized as a gateway to leadership and career excellence. This qualification fosters a unique blend of strategic thinking, analytical capabilities, and entrepreneurial insight, enabling professionals to navigate complex business challenges. In a rapidly evolving global economy, the MBA offers not just theoretical knowledge but practical expertise, providing graduates with a competitive edge in diverse industries. This article delves into the value of an MBA, exploring its financial returns, career advantages, and transformative role in leadership development. With data-supported visuals such as bar charts, pie charts, and line graphs, the discussion highlights trends in program costs, industry placement, and enrollment shifts from traditional to online formats. While acknowledging challenges such as high tuition and market saturation, this research emphasizes the enduring relevance and adaptability of the MBA in meeting modern business demands.

An Advanced Machine Learning Approach for Enhanced Diabetes Prediction

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 Diabetes is a chronic health condition affecting millions globally, causing severe complications and burdening healthcare systems. Current machine learning methods for diabetes prediction face challenges such as data imbalance, limited generalizability, and computational inefficiency. This study proposes a novel method that combines K-Nearest Neighbors (KNN), clustering techniques, Synthetic Minority Over- sampling Technique (SMOTE), and Random Forest for outcome classification to address these issues. The PIMA Indian Diabetes Dataset was used to evaluate the approach, achieving accuracy of 87.50%. However, the study has limitations, such as dependency on specific datasets and computational complexity. Future work will focus on validating the method across diverse datasets, optimizing computational efficiency, and developing real-time prediction capabilities.

Optimization of the Intermediary Role of Zakat with The Business Model Canvas (BMC)

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This research aims to analyze the implementation of the Business Model Canvas (BMC) as a strategy to optimize the intermediary role of zakat at BAZNAS West Java. The background of the study stems from the suboptimal realization of zakat collection despite its significant potential. This indicates a low optimization of zakat collection and an ineffective distribution role of zakat. Overall, the intermediary role of zakat has not been optimized. Various factors contribute to this, including the adaptation and implementation of the Business Model Canvas (BMC) strategy. There are numerous challenges in implementing the BMC strategy at BAZNAS West Java. The research method used is a survey method with a descriptive analysis approach. The survey was conducted at BAZNAS West Java. Data collection techniques include documentation and interviews. The results of this study are expected to serve as a reference for zakat institutions regarding strategies to optimize the intermediary role of zakat through the adaptation and implementation of the BMC strategy. The study’s findings can demonstrate that the implementation of the Business Model Canvas (BMC) as a strategy can optimize the intermediary role of zakat at BAZNAS West Java.

Food Hygiene and Sanitary Condition Awareness among Street Food Vendors

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The objective of this study was to investigate the level of awareness among the street food vendors in Barangay Saber, Marawi City specifically regarding food hygiene and sanitary condition. The researcher utilized a descriptive-survey research design using survey-questionnaires as the primary tool to figure out the problems in sustaining food safeties for the consumers. These street food vendors play an important role in the economy by making goods more accessible and affordable, as well as providing livelihood opportunities for people with few job options in the city. The survey-questionnaires were contained of two parts, part one, socio-demographic profile of respondents and part two were the problems on food street vendors’ food hygiene and sanitation awareness in terms of food serving and surrounding sanitation. A total of forty-one (41) street food vendors participated in the study. Moreover, the study employed frequency, percentage distribution and weighed mean with the aid of SPSS Software as statistical tools used to understand the data and interpret the results properly. The results revealed that all the identified indicators that may influenced the maintaining of proper hygiene and sanitary of food establishments of the street vendors were positively perceived by the respondents. The street food vendors were properly aware on the important of food hygiene which is part of food safety and ensuring the health and well-being of the consumers. The average weighted mean is 2.70 or “often” as descriptively define. Results implied that these street food vendors were observing properly the importance of cleanliness to prevent their customers from illnesses due to negligence on proper handling of foods and maintaining the positive environment.

Effect of Loan Disbursement, Non-Performing Loan (NPL) and Current Account-Saving Account (CASA) Ratio on The Profitability of Digital Bank Listed on Indonesia Stock Exchange

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Technological advances have brought updates to business processes and banking services in Indonesia, namely the birth of banks that provide digital-based services to customers or called Digital Banks. The development of this digital banking ecosystem is supported by the economic conditions that have recovered after COVID pandemic ended. Digital transformation has certainly encouraged the emergence of several Digital Banks that have become Game Changers in the financial services business by offering convenience in digital products and services. A number of Digital Banks have succeeded in becoming public companies, recording credit growth, managing the non-performing loan ratio, increasing the growth of third-party funds, especially for online savings products through the digital banking products offered, and increasing the profitability ratio. Objective of this research is to determine the effect of Loan disbursement, NPL and CASA (Current Account-Saving Account) Ratio on the Profitability of Digital Bank that listed on Indonesia Stock Exchange for the 2018-2024 research year. The population data used is go-public Digital Bank and the sample is Digital Banks that are included in the Bank Group category based on Core Capital 1 and 2. Secondary data that used in this research are quarterly and annual bank report which are available on websites of Indonesian Stock Exchange and Financial Services Authority.

Stock Valuation of PT Widodo Makmur Perkasa TBK by Using Discounted Cash Flow Method and Relative Valuation

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 The emergence of Covid-19 in Indonesia caused an economic decline in 2019-2020. This also has an impact on the capital market in Indonesia, which is shown by the decline in the Composite Stock Price Index (IHSG) which was seen at the beginning of 2020 at the level of 6,300 and decreased to 3,900 in March 2020. However, the number of investors in Indonesia has increased every year, the same as the increase number of companies that have conducted an initial public offering (IPO) and listed their shares on the Indonesian Stock Exchange (BEI). One of the companies conducting an initial public offering is PT Widodo Makmur Perkasa Tbl. (WMPP) in 2021. This company has the potential to continue to grow knowing that Indonesia’s population is expected to continue to grow at a growth rate of 1.25 percent per year, and the Indonesian economy will grow by 5.31 percent in 2022, exceeding the growth rate in 2021 it is 3.70 percent, and is expected to continue to increase every year. In addition, the urban population in Indonesia is expected to reach 66.6% in 2035 and 70% in 2045. This study aims to find out whether WMPP companies are valued too low or too high using the DCF and Relative Valuation methods. Apart from that, this research also carried out external and internal analysis to see the company’s potential. The method used to analyze external conditions in company analysis is PESTEL and the author uses VRIO analysis to determine internal conditions.

The findings of the study reveal that this company’s industrial sector is attractive to investors because this industry has a significant contribution to the development of Indonesia’s GDP; this can be a trigger for the Government of Indonesia to continue to support this sector. Apart from that, increasing people’s income and the company’s concern for the environment can be an attraction for investors. However, the only problem is disease outbreaks in cows and chickens which can trigger a decline in income.

Based on the result of the VRIO analysis, this company has sustainable competitive advantages such as a large number of assets with quite a lot of production capacity.  This company also has a vertical integration business and diverse products & business units.

The result of the WMPP company valuation based on relative valuation show that the WMPP company has a lower PER, PBV and EV to EBITDA than those of the average of similar companies or can be said to be undervalued. However, the WMPP company’s EV to Sales is higher than that of the average of similar companies, indicating that the stock is overvalued. Furthermore, based on the Discounted Cash Flow (DCF) result, the intrinsic value of this company is IDR -55, but the share price is IDR 50. This shows that WMPP is overvalued.

Technical Evaluation of the Utilization of Moringa Leaf Flour in Substituting Commercial Feed for Pigs

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This study aims to determine the effect of commercial complete feed substitution with moringa leaf flour on feed consumption, water consumption, and weight gain in pig farmers. This study is also expected to produce useful scientific information in the development of more economical and sustainable feed formulas for pig farmers. In addition, it can support efforts to diversify quality local feed ingredients to reduce dependence on imported commercial feed. The materials used were 12 male castrated landrace pigs aged 3-5 months with an initial body weight ranging from 38-55 kg, an average of 45.17 (CV = 13.31%). This study used an experimental method with a Completely Randomized Design (CRD) consisting of 4 treatments with each treatment repeated 3 times so that there were 12 experimental units. The treatments were P0: 100% commercial complete feed, P1: 90% commercial complete feed + 10% moringa leaf flour; P2: 85% commercial complete feed + 15% moringa leaf flour; P3: 80% commercial complete feed + 20% moringa leaf flour. The data obtained were tabulated and statistically analyzed using the ANOVA analysis of variance procedure using IBM SPSS 21 software. The results of the study showed that the substitution of commercial complete feed with moringa leaf flour up to 20% had no significant effect (p>0.05) on ration consumption, water consumption and daily weight gain. This study concludes that moringa leaf flour can substitute 20% of commercial complete feed in pig farmers’ pigs.

Factors Influencing Company Value on the Indonesian Stock Exchange: Insights from LQ45 Companies (2019-2023)

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This study examines the variables affecting the firm value (Tobin’s Q) of the Indonesian Stock Exchange’s LQ45 Index between 2019 and 2023. We assess sustainability scores (ESG Score) and some financial performances ratios i.e. return on assets (ROA), return on equity (ROE), and debt to equity ratio, whether each respective of these factors influence the firm value (Tobin’s Q) using quantitative analytical data obtained from the Indonesian Stock Exchange website. 41 of the 45 businesses that meet the study’s requirements are the subject of our analysis, yielding 205 samples in total. Eviews version 11 software was used to do multiple linear regression analysis on the data. All the independent factors (X1, X2, X3, and X4) have statistically significant individual effects on the dependent variable, according to our findings, which are based on the t-test results. The probability values for each of these variables are below 0.05. Furthermore, the F-test indicates that the independent factors taken together significantly affect the dependent variable, with a probability value of 0.000. Based on the determination coefficient test, the adjusted R square value is 63.12% which indicates that the independent variable significantly influences the dependent variable.