The Ratio of Fermented Mother Liquor and Molasses as Additives in Making Elephant Grass Silage (Pennisetum purpureum Cv. Thailand) and Corn Cob (Zea Mays. L) on the Quality of Ensilage Results

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This study aims to determine the effect of the ratio of fermented mother liquor (FML) and molasses as additives in the manufacture of elephant grass (Pennisetum purpureum cv. Thailand) and corn stalks (Zea mays) silage on the quality of ensilage results in terms of nutrient concentration and in vitro digestibility. The research materials were elephant grass of the Pakchong variety and corn stalks. FML and molasses were added to elephant grass and corn stalks in the processing of ensilage. This study used a Completely Randomized Design with 4 treatments and 3 replications in total elephant grass and corn stalks so that 24 experimental research units were obtained. The treatments were P1 = corn cob+ additive (FML 0% + 6% Molasses), P2: (FML 2% + 4% Molasses), P3: (FML 4% + 2% Molasses) P4: (FMl 6% + 0% Molasses) and P1: R. Gajah + additive (FML 0% + 6% Molasses), P2: (FML 2% + 4% Molasses), P3 (FML 4% + 2% Molasses), P4 (FML 6% + 0% Molasses). Data were analyzed using Analysis of Variance (ANOVA), if the results obtained were significantly different, then continued with Duncan’s Multiple Test. The results showed that the treatment had a very significant effect (P <0.01) on the content of BO, PK and LK as well as KCBK and KCBO. The study concludes that the use of the Ratio at P4: (FMl 6% + Molasses 0%) can produce silage in the very good category of ensilage on elephant grass and corn stalks in terms of green forage preservation with a pH below 4.2 and has good nutritional value with a PK content of around 12% and BO digestibility above 60%.

Physicochemical Characteristics of Mocaf Flour and Rice Flour-Based Gluten-Free Cookies

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This study investigated the effects of mocaf flour (modified cassava flour) concentration and baking temperature on the surface structure, color, moisture content, and hardness of gluten-free cookies. Cookies were prepared using mocaf flour and rice flour, with mocaf concentrations of 30%, 50%, and 70%, and baking temperatures of 150°C, 160°C, and 170°C. The results demonstrated that higher mocaf flour concentrations and increased baking temperatures significantly influenced the cookies’ physical properties. Higher mocaf concentrations and baking temperatures resulted in greater hardness values and lower moisture content. Specifically, cookies with 50% mocaf flour baked at 170°C exhibited the highest hardness (3.08 kgf) and the lowest moisture content (4.53%). Color analysis revealed that lightness (L*) decreased as both mocaf concentration and baking temperature increased, while redness (a*) and yellowness (b*) values rose, indicating darker cookies due to the Maillard reaction and caramelization. Additionally, the surface analysis showed that the inclusion of mocaf flour contributed to a rougher texture compared to the smoother surface of control cookies. These findings suggest that mocaf flour is a promising alternative to wheat flour in gluten-free cookie formulations, providing enhanced shelf stability, distinct textural characteristics, and appealing color properties. Future studies could optimize mocaf flour usage to improve product quality while addressing consumer preferences for gluten-free baked goods.

The Impact of Burnout and Compensation on Turnover Intention Mediated by Job Satisfaction in a Private Hospital in Tangerang

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The purpose of this study was to find that burnout and compensation have a significant effect on job satisfaction and turnover intention, and job satisfaction can function as a mediator between burnout, compensation, and turnover intention in health workers and health support staff at One of the Private Hospitals in Tangerang. This study uses a descriptive quantitative approach with a cross-sectional study design. The accessible population in this study were health workers and health support staff from January to May 2024 with a total accessible population of 1,030 health workers and health support staff. This study uses a non-probability purposive sample, the selected subjects meet the inclusion and exclusion requirements, so that based on the formula and requirements, 288 samples were obtained. The data analysis technique uses path analysis with testing and data analysis in this study assisted by using SMART PLS 3.0 software. The results of the analysis show that burnout has a negative and significant effect on job satisfaction. and a positive and significant effect on turnover intention. Compensation has a positive and significant effect on job satisfaction, and a negative and significant effect on turnover intention. Job satisfaction has a negative and significant effect on turnover intention. In addition, burnout negatively and significantly affects turnover intention through the mediation of job satisfaction, while compensation also negatively and significantly affects turnover intention through the mediation of job satisfaction.

Stock Price Forecasting on Time Series Data Using the Long Short-Term Memory (LSTM) Model

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Stock price forecasting on time series data is a complex task due to the dynamic and uncertain nature of financial markets. This research aims to forecast stock prices by applying an advanced machine learning model, namely Long Short-Term Memory (LSTM), a deep learning architecture that excels in capturing long-term dependencies in time series data. The dataset used in this study consists of 1221 daily ANTM.JK stock price data over the period April 30, 2019 to April 30, 2024. The model was trained and evaluated using performance metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) in measuring the level of forecasting accuracy. The results show that the LSTM model can accurately predict stock prices on time series data, as evidenced by the MAPE accuracy evaluation value of 2.52% and RMSE of 54.64. These findings indicate that the LSTM model is effective in predicting stock prices on time series data and can be used as a supporting tool in making the right investment decisions.

Analysis of the Effectiveness of Internal Control as Fraud Prevention in the Kupang City Government

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This study aims to evaluate the effectiveness of the implementation of the Internal Control System (ICS) in financial management and Government Regulation (PP) No. 06 of 2008 as a fraud prevention measure. This study employs a qualitative descriptive approach. Primary data were gathered through questionnaire about internal control system, completed by relevant officials, which where supplemented by additional insights obtained from interviews.

Meanwhile, secondary data were sourced from the Summary of Audit Results (IHPD) for the East Nusa Tenggara Province. Given the paucity of research on internal control-based auditing in the government sector and the rising instances of corruption in public financial accountability and operations, it is critical to delve deeper into this issue to investigate the effectiveness of internal controls in preventing fraud within the government. This study identifies the causes of compliance findings in the Financial Statements of the Regional Government of Kupang City for the 2023 Fiscal Year, analyzed them in relation to the effectiveness of the Internal Control System (ICS). The findings reveal that ineffective implementation of internal control is a significant factor contributing to compliance violations of regulations, which result in state or regional losses that require recovery.

The Effectiveness of Project-Based Learning Model on Critical Thinking Skills in Grade IV Elementary School on Fraction Number Material in Bantul District

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Project Based Learning is one of the learning models that provides space for students to explore knowledge. The purpose of this research is to find the effectiveness of Project Based Learning (PjBL) on the development of critical thinking skills on fractional number material. The method used is mixed method (qualitative and quantitative) with the research objective to identify the effectiveness of the PjBL model on critical thinking skills. Data collection by questionnaire and document analysis Skills measured based on 5 aspects of critical thinking skills consisting of 12 indicators. This research was conducted in grade IV elementary schools in Bantul district. Data collection by test The results showed that critical thinking skills were obtained at 97.1% with very good criteria. It can be concluded that students have very good critical thinking skills development.

Infant Growth Pattern Aged 0-6 Months in Low Birth Weight Babies with Normal Birth Weight Babies in Kendari City

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Background: This study aims to determine the differences in growth patterns of babies aged 0-6 months with a history of Low Birth Weight (LBW) and Normal Birth Weight (NBW) at the Kendari City Regional General Hospital.

Method: This type of research is observational research with a retrospective cohort research design. The sample in this study was 72 newborn babies who were divided into 2 groups, namely LBW and LBW babies. Data analysis uses non-parametric tests, namely the Maan Withney test.

Results: The results of this study stated that the growth pattern of babies aged 0-6 months with a history of low birth weight in Kendari city hospitals was mostly in the normal category. The growth pattern of babies aged 0-6 months with a history of normal birth weight at Kendari City Hospital is mostly in the normal category.

Conclusion: There is a difference in the growth pattern of LBW and LBW babies (p=0.001). There is a difference in the time to achieve normal growth. The median time to achieve normal growth for LBW babies is 5 months, while for LBW babies it is 1 month.

From Crisis to Opportunity: Innovation Strategies for Business Survival and Growth in MSMEs Post COVID-19 – A Case Study of Tent Rental in Semarang

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This study examines how Micro, Small, and Medium Enterprises (MSMEs) adapted to the post-COVID-19 landscape to boost sales and ensure business continuity, focusing on Persewaan Tenda dan Alat Pesta Al-Hadi, a tent and party equipment rental business in Semarang, Indonesia. Using a descriptive qualitative case study approach, the research highlights key strategies that enabled the business to overcome pandemic challenges. Specifically, service, process, and product innovations played crucial roles in its recovery. Service innovation included leveraging social media for brand visibility and offering promotions like free shipping. Meanwhile, process innovation involved restructuring the family business for greater efficiency. Additionally, product innovation focused on improving equipment quality to ensure customer satisfaction. Ultimately, these innovations were pivotal in driving growth, underscoring the importance of adaptive strategies and innovation for MSMEs in a post-crisis economy.

The Use of Chat GPT for the Assessment of the Tourism Industry in the Island of Crete, Greece: A SWOT Analysis

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Artificial intelligence and the language model Chat GPT have increasing uses in several sectors including the tourism industry. The island of Crete, Greece is a popular global tourism destination with a flourishing tourism industry. Chat GPT has been used for the assessment of the island’s tourism industry according to SWOT methodology. The responses of the abovementioned language model regarding the strengths, weaknesses, opportunities and threats of tourism industry in Crete have been analyzed and it was found that they were adequate and satisfactory. Chat GPT has identified the internal advantages and vulnerabilities of tourism industry in the island as well as the opportunities and risks imposed by the external environment. The results given by Chat GPT were in accordance with the views of tourism experts and tourism stakeholders indicating that artificial intelligence can be used supplementarily to human analysis in the tourism sector. The results of the current study and the responses of Chat GPT can be used by policy makers and tourism stakeholders in Crete for the development of rational and effective policies regarding the future of the local tourism industry.

Characteristics of Sheep Farmers in Gucialit Village Based on Age, Education Level, Livestock Farming Experience and Number of Livestock Raised

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Local sheep farming in Indonesia, especially in rural areas, is essential in supporting food security and improving the community’s economy. Sheep not only provide a source of animal protein but also contribute to farmers’ income. This study aims to identify the characteristics of sheep farmers in Gucialit Village, Lumajang Regency, East Java, which has excellent potential for developing the livestock sector. The method used is a case study with primary data collection through direct observation and farmer interviews. Samples were taken using incidental sampling techniques. The results showed that most farmers were aged between 41-60 years (51.25%), with the participation of the younger generation (21-40 years) reaching 35%. However, farmers’ education level is still low; 51.25% only have elementary school education. Livestock farming experience varies, where 42.5% of respondents have 11-20 years of experience. Most farmers keep 6-10 sheep (45%), reflecting the scale of small to medium businesses. This study found that despite challenges in adopting modern technology, the regeneration of young farmers and the experience of older farmers can complement each other to improve livestock practices. The conclusion of this study emphasizes the importance of improving education, training, and management development to increase the productivity and sustainability of sheep farming businesses in Gucialit Village. The integration of older farmers’ experience and innovation from the younger generation is expected to create more efficient and sustainable farming practices.