Variability In Production Research Articles

Productivity and Quality of Facilities and Infrastructure as Support for RRI Tolitoli Broadcasting

This research aims to answer the basic problems faced by Radio Republik Indonesia (RRI) Tolitoli in increasing the productivity and quality of broadcasting facilities and infrastructure. Using a qualitative approach and descriptive research methods, this research was conducted at the Republic of Indonesia Radio Public Broadcasting Institute (LPP RRI) Tolitoli over a three-month period. Primary data was obtained through direct observation and in-depth interviews with six informants selected purposively. The research results show that RRI Tolitoli faces a number of challenges in increasing productivity and broadcast quality, especially related to poor infrastructure conditions. Through analysis of productivity and quality variables, research findings highlight the need for improvements in technical and managerial aspects. Although RRI Tolitoli has demonstrated a strong commitment to providing quality broadcasting services, there is still room for significant improvement in terms of technical infrastructure and resource management. The recommendations resulting from this research can become the basis for continuous improvement efforts in public broadcasting in Indonesia, with the main aim of meeting public demands for broadcasting that is informative, high quality and has a positive impact.

Productivity Variables for Adaptability of Cowpea Varieties under Strip Intercropping in Three Locations in Limpopo Province, South Africa

Background: The performance of five improved cowpea varieties under strip intercropping has been conducted in specific locations to assess their yield but their adaptability has not been determined. This paper presents results that assessed the adaptability of the improved cowpea varieties under strip intercropping in three locations in Limpopo province. Methods: Five cowpea varieties (TVu 13464, IT86D-1010, Glenda, IT82E-16 and IT87K-499-35) and maize were planted under strip intercropping in three locations (UL-Farm, Bela-Bela and Ga-Thaba) and two seasons. Data were collected on maturity, grain yield, land equivalent ratio, pods plant-1, plant height and seed size and were analysed using Genstat 20.1. Result: The ranking plot of grain yield indicates that the principal components (PC1 and PC2) explained 96.33% of the total sum of square variation. The results indicate that IT86D-1010 and IT82E-16 matured early and were best yielders. The LER from IT82E-16, IT86D-1010, TVu 13464 and IT87K-499-35 exceedingly performed better that from Glenda (Control) thus indicating that they are superior in adaptation and in resource utilization. The performance and adaptation of the varieties varied across locations: IT82E-16 is adapted to UL-Farm and Bela-Bela while IT86D-1010 and IT87K-499-35 are adapted to Ga-Thaba and their production should be based on their best location(s).

Dietary stinging nettle (Urtica dioica) improves carotenoids content in laying hen egg yolk

ABSTRACT 1. This study assessed the addition of dried stinging nettle (SN) leaves at 0%, 2.5% and 5.0% in feed on egg production, egg quality, chemical composition and antioxidant content in eggs from laying hens. 2. Seventy-two Hy-Line Brown laying hens, housed in 36 enriched layer cages, were used in the study from 43 to 47 weeks of age. Feeding dry SN leaves did not affect (p > 0.05) egg production variables. 3. Dietary SN inclusion linearly increased (p < 0.001) carotenoid content more than six-fold, in addition to yellowness and redness of the yolks at the maximum inclusion. Providing eggs from hens fed carotenoid enriched diets, e.g. SN, may be used to increase carotenoids in human diets.

Cross-sectional study of factors related to declining participation in community gathering places providing communal meals: A social marketing framework

Objectives While Community gathering places known as "kayoi-no-ba" providing communal meals play a crucial role in promoting the health of older adults, the researches supporting their operations and maintenance is limited. Social marketing has been successful in implementing strategic public health programs. This study aimed to identify factors associated with declining participation in kayoi-no-ba providing communal meals using a social marketing framework based on the 4Ps marketing mix (product, promotion, place, and price).Methods In November 2019, this cross-sectional study surveyed kayoi-no-ba providing communal meals nationwide via a mail. A total of 580 kayoi-no-ba organizers with complete data participated. Changes in the number of participants were assessed using a questionnaire in order to determine the decrease since their establishment. Survey items were organized based on the 4Ps marketing mix framework and treated as independent variables. Multivariate Poisson regression analysis was conducted with participant decrease as the dependent variable, and prevalence ratios (PR) were calculated. The opening period and the number of participants at the time of the survey were included as covariates.Results A total of 154 kayoi-no-ba experienced the decline in participants (26.6%). Multivariate analysis revealed the following. For product variables, a high frequency of monthly events was significantly associated with a lower PR for participant decrease (0.92). Among promotion variables, kayoi-no-ba with a registration system had a significantly higher PR for participant decrease (1.49). For place variables, a higher population density in the region was significantly associated with a lower PR (0.90), whereas a higher ratio of the population aged 65 years and older was significantly associated with a higher PR (1.05). The price variables did not show a significant association with the decrease in participants.Conclusions Except price, the other three marketing 4Ps were significantly associated with decreases in participants at kayoi-no-ba providing communal meals. Future efforts should focus on developing and evaluating kayoi-no-ba strategies to ensure sustained participant engagement and promote the health of older adults through communal meals.

Social and economic importance of new bamboo species established in three municipalities of the North Eastern Mountain range of Puebla, Mexico

The study was conducted in three municipalities of Puebia, Mexico. The objectives were to identify the species of bamboo in the North Eastern region of Puebla, know the climatic conditions and agronomic systems where it grows, characterize the socioeconomic situation of the producers, and identify the contribution to the family economy. A review of the history of cultivation in Mexico was carried out at the National Herbarium of Mexico (MEXU). For the collection of information, it was considered that the bamboo system was within the local agricultural system and selection of municipalities was based on the productive relationship of the crop and the introduction of species in the area. Sixty-four surveys were done of bamboo producers through the questionnaire with social, economic, and productive variables related to the bamboo production system. In the Puebla’s North Eastern Mountain range there are two new species of bamboo, Bambusa oldhamii and Guadua angustifolia, both with different characteristics of uses and established in two production systems, the commercial and family system. At present they have a low commercialization of some bamboo derivatives and little use as food. The region is considered one of extreme proverty. The two species have a high potential for environmental adaptation agronomically they are developed as a single crop in backyards and used in various commercial activities. The lack of use of the crop in the region and its rapid natural expansion due to the environmental conditions for its growth, induces the tendency to consider it as an undesirable plant

Analysis of Wheat Export Performance in India

Wheat is a plant which is valued highly for its kernel as an edible part and an important source of carbohydrates. India ranks second position in wheat production in the world with a contribution of roughly 13.53 per cent to global wheat output (Naga Latha et. al., 2022). The study analyses the export performance of wheat and examines the trends in the growth performance of wheat in terms of area, production and productivity, export quantity and export value during 1973-2022 which is a period of 50 years. The analysis reveals that the highest compound growth rate in terms of area was 1.16 per cent, production was 4.49 per cent and productivity was 3.29 per cent respectively. The results of the study on the compound growth rates during the study periods have shown positive and increasing value which indicates high potential for the export of wheat from India. In the analysis of instability, there exists a high positive correlation between the export quantity and value of export in the overall period. Wheat area, production and productivity exhibit higher variability and instability in the overall period. Period II shows lower variability and instability, indicating increased stability. Period I exhibits moderate variability and instability. The overall period has the highest instability, suggesting unpredictable production. Instability indices show high instability at 126.97 per cent in Period I and 138.18 per cent overall, while Period II exhibits moderate instability at 101.94 per cent. Market volatility, trade policies, economic fluctuations, weather patterns and production variability contribute to these fluctuations. As of trend analysis, there is a positive and significant increase. The NPC value of wheat during the overall period was 0.051, it indicates that the commodity is not protected. NPC&lt;1 indicates that the commodity is exportable and possesses export competitiveness and hence the hypothesis i.e. Indian wheat has better competitiveness in the International market.

The Productive and physico-chemical performance at two seasons of the year in trout (oncorhynchus mykiss)

The objective of the research was to evaluate the productive and physicochemical performance of trout (Oncorhynchus mykiss) in two seasons of the year. The months of April-June for the rainy season and July-September for the dry season in the Junín region of Peru were considered. The productive performance variables were: length, live weight, carcass weight and yield; on the other hand, the physicochemical variable (pH, water retention, humidity, ash, ethereal extract and protein). The results indicate that no differences (p&gt;0.05) were found between the rainy and dry seasons for: length (cm), moisture (%), ash (%), ethereal extract (%) and protein (%). On the contrary, differences (p&lt;0.05) were found between the rainy and dry seasons for live weight (g) with 239.37 g and 186.30 g respectively, as well as differences for carcass weight (g) in the rainy (186.30 g) and dry (140.77 g) seasons; likewise, differences were found for carcass yield (%), with 88.17 % and 86.89 % for the rainy and dry seasons, respectively. It is evident that in the rainy season there is an increase in their productive behavior. In terms of physicochemical performance, both seasons do not influence the chemical characteristics

Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model.

Grain crops are vulnerable to anthropogenic climate change and extreme temperature events. Despite this, previous studies have often neglected the impact of the spatio-temporal distribution of extreme temperature events on regional grain outputs. This research focuses on the Middle-Lower Yangtze Plains and aims to address this gap as well as to provide a renewed projection of climate-induced grain production variability for the rest of the century. The proposed model performs significantly superior to the benchmark multilinear grain production model. By 2100, grain production in the MLYP is projected to decrease by over 100 tons for the low-radiative-forcing/sustainable development scenario (SSP126) and the medium-radiative-forcing scenario (SSP245), and about 270 tons for the high-radiative-forcing/fossil-fueled development scenario (SSP585). Grain production may experience less decline than previously projected by studies using Representative Concentration Pathways. This difference is likely due to a decrease in coldwave frequency, which can offset the effects of more frequent heatwaves on grain production, combined with alterations in supply-side policies. Notably, the frequency of encoded heatwaves and coldwaves has a stronger impact on grain production compared to precipitation and labor indicators; higher levels of projected heatwaves frequency correspond with increased output variability over time. This study emphasizes the need for developing crop-specific mitigation/adaptation strategies against heat and cold stress amidst global warming.

Knowledge Management in Local Governments: A Boost or a Brake on Productivity?

This study analyzes the impact of knowledge management on the productivity of a local government, to determine whether it acts as a boost or a brake on institutional performance. Using a quantitative approach, a non-experimental design and an explanatory level, 119 municipal workers were evaluated using validated and reliable instruments. The dimensions of knowledge detection, capture and development were examined, applying Spearman correlation and ordinal regression. The results revealed a positive and significant correlation between knowledge management and productivity (Rho = 0.810, p = 0.000), indicating that effective management is associated with higher levels of productivity. The regression model showed that knowledge management explains 66.2% of the variability in productivity, reflecting an important influence. However, areas for improvement were identified, especially in knowledge detection, where significant levels of inefficiency and regularity were perceived. It was concluded that knowledge management in the local government studied acts both as a boost and a brake on productivity. It is recommended to implement strategies that strengthen detection, capture and knowledge development practices, in order to optimize operational efficiency and offer higher quality services to the population.

Analysis of the Use of E-Money, Money Supply, and Gross Domestic Product on Interest Rate

This research aims to examine the effect of a direct relationship between the use of e-money and the circulation of money on interest rates, as well as an indirect effect, namely through the intervening variable gross domestic product. This research method uses a statistical model of path analysis. The sample used was secondary data fetched from the Website of Bank Indonesia (BI) and the Central Bureau of Statistics (BPS), since regulation on electronic payment method was officially issued by Bank Indonesia in May 2009-March 2023. The test results shows that e-money and money supply each, have a significant positive effect on gross domestic product variables. Gross domestic product variables had a negative effect on interest rates. E-money and money supply variables has a negative effect on interest rates, both directly or indirectly through the intervening variable of gross domestic product. Increasing e-money user and money supply, preponderant to gross domestic product, can decrease the interest rate. The results of this research are expected to provide benefits as a prediction of the Indonesian economy in the future, as a result of the issuance of electronic payment instruments. So for the regulators, they can set the right interest rate policy to be able to maintain stable economic conditions. Keywords: electronic money, money supply, gross domestic bruto, interest rate

Determinants JCI of the Indonesian Stock Exchange (Comparison of IHSG Projection of OLS Method and ARIMA and GARCH Methods for the Period 2015-2023)

This study aims to examine the effect of interest rate, exchange rate, inflation, gross domestic product and LQ-45 index variables on the movement of the Composite Stock Price Index using the ordinary least square method. Comparison in predicting the movement of the stock price index through three models, and then compared with the projection results with OLS, ARIMA and GARCH methods. This research was conducted using monthly data on JCI, interest rates, exchange rates, inflation, gross domestic product and the LQ-45 index for the period May 2015 - December 2023. From the results it can be concluded that interest rates have a significant negative effect on JCI, exchange rates have a significant negative effect on JCI, inflation has a significant negative effect on the value of JCI, gross domestic product has a significant negative effect on JCI and the LQ-45 index has a positive effect on JCI. The results of the comparison of JCI projections with 3 models showed that the OLS model offers more accurate results and has the lowest MAPE value in predicting stock price movements.

Proposal of methods for determining the optimal size of experimental plots

Adequate planning of experiments is extremely important and for this to occur, the appropriate choice ofplot size is essential. Thus, determining the plot size seeks to increase experimental precision, since precision decreases when a plot size smaller than the ideal is chosen; on the other hand, when opting for plot sizes larger than the ideal, the researcher may use more resources than necessary, as well as increasing the time to set up the experiment. Therefore, this work aimed to propose two new methods for determining the optimal size of experimental plots, which were applied in experiments with yellow passion fruit in the field, and compare them to the modified maximum curvature method. The maximum curvature method of the modified Vx function uses the equation proposed by Smith and the maximum curvature method of the modified CVx function uses the equation proposed by Thomas. The modified maximum curvature method of the CV(x) function proved to be suitable for estimating the optimal size of plots in experiments with yellow passion fruit. It is recommended to use the optimal plot size of 4 plants per plot for variables related to the fruit, 5 plants per plot for variables related to the pulp and for the production variables of 9 plants per plot.

Input, Universals, and Transfer in Developing Rhotics: A Sketch in Bilingualism

Understanding the role of input in bilingual phonological acquisition is revealing for deciphering the workings of language acquisition processes. Input and usage distributional frequencies guide and differentiate speech sound acquisition patterns cross-linguistically. Such processes are operant in first- and second-language acquisition. There is an under-representation of investigations on how context-specific input in bilingualism influences the early acquisition of rhotics in child developmental speech longitudinally. This study addresses the gap by tracing a Greek/English bilingual girl’s rhotic development between ages 2;7 and 3;11, utilizing naturalistic data during daily interactions with an adult interlocutor. The study reports and schematically illustrates the child’s bilingual usage frequencies, informing language choice in her production variables, which demonstrate, quantitatively and qualitatively, the effects of context-specific input on rhotic accuracy levels and substitution patterns in both languages. Specifically, distributional frequencies in the input govern the child’s phonemic and phonetic tendencies in the languages. Findings are compared with previous reports in the literature and enhance language acquisition theory, revealing the pivotal role of input in the dynamic interplay with developmental universals, language-specific tendencies, transfer, and individual variation.

The Impact of Key Performance Indicators on Faculty Research in Higher Education

This study investigates the effectiveness of key performance indicators (KPIs) in evaluating the research contributions of academic staff in Uzbekistan, aiming to provide a nuanced understanding of faculty performance assessment. Employing a mixed-methods approach, the research integrates quantitative bibliometric analysis of publication data from 500 faculty members with qualitative interviews from 30 academics. The quantitative analysis focuses on metrics such as total publications, citation counts, and h-index scores, while the qualitative component explores faculty perceptions regarding the influence of KPIs on their research activities and career development. The analysis reveals significant variability in research productivity, with faculty averaging 12.4 publications and 110.2 citations. Econometric modeling indicates a strong positive correlation between publication metrics and citation impact, suggesting that higher publication output enhances academic visibility. Qualitative insights highlight the pressures of a "publish-or-perish" culture, which adversely affects research quality and faculty morale, particularly in contexts with limited institutional support. This research contributes to the discourse on academic performance evaluation by emphasizing the limitations of traditional metrics and advocating for a more holistic assessment framework. It highlights the need for higher education institutions to consider both quantitative and qualitative measures to better reflect the complexities of academic contributions in Uzbekistan.

Impact of Feed Bunk Space on the Prevalence of Torsion and Foreleg Distal Asymmetry in Holstein Cows.

Leg torsion and distal asymmetry (LTDA) among cows reared on intensive farms in the Comarca Lagunera region of northern Mexico may be indicative of underlying health concerns. To ascertain whether the incidence of LTDA is associated with trough measurements and with productive, reproductive, and disease variables, the prevalence of LTDA was determined in lactating dairy cows. The data were derived from two intensive dairy farms in northern Mexico (G60: 2043 cows in 13 pens with 142.0 m of linear feed bunk space and 65.0 m of pen depth; G100: 2227 cows in 12 pens with 215.0 m of linear feed bunk space and 49.0 m of pen depth). The cows were observed over the course of a week to identify any macroscopic lesions indicative of LTDA. Cows exhibiting lesions were assigned a value of "1", while those without lesions were assigned a value of "0". Furthermore, data regarding other limb diseases (LDs) were collected and subjected to analysis. A comparison was conducted to ascertain the impact of reproductive, productive, and feed bunk size variables on the prevalence of LTDA and other LDs. To ascertain the prevalence of LTDA and LDs, a chi-squared test was employed. The prevalence of LTDA was found to be 27.6% (G60: 31.4%, G100: 22.4%). No association was identified between LTDA and the variables included in the study. However, a correlation was identified between LDs and the following variables: total width, distance from the edge, width from the feed bunk to the tramp, and the presence of a manure crust on the walls. Principal component analysis (PCA) was conducted to examine the correlation between LDs and various factors at the farm and pen levels. The findings indicated that the distance from the feed bunk to the trough, the presence of manure crusts on the walls, and the breeding time were associated with LDs in G100, as well as in three of the twelve pens (302, 306, and 308) within G100. The findings suggest that the prevalence of LDs is associated with an increase in the width of the feed bunk and the width of the manure crust on the walls, particularly in pregnant cows. The results permit the conclusion that LTDA and LDs are associated with the measurements of the feed bunks, the absence of manure cleaning of the feed bunks, and gestation. This association gives rise to significant health issues for Holstein cows on these farms, with more than one in four cows affected. To reduce the prevalence of LTDA in lactating dairy cows, it is recommended that the standard measurements for feed bunk design be adhered to. This will reduce the prevalence of LTDA and LDs, promote the cleaning protocols to avoid the accumulation of manure crusts, and facilitate close monitoring of pregnant cows, thereby alleviating the impacts of these foot pathologies on animal welfare.

A Versatile Platform for PV System Integration into Microgrids

Advancing decarbonization critically depends on the integration of PV systems into microgrids. However, this integration faces challenges, including the variability of photovoltaic solar energy production, the demands of energy management, and the complexities of grid synchronization and communication. To address these challenges, a PV emulator platform is an essential tool. This paper presents a novel four-layer PV emulator platform that seamlessly integrates power systems, control systems, measurement instrumentation, and communication processes. The proposed platform enables the emulation of I-V curves and the dynamic adjustment of operating points—including both the maximum power point (MPP) and power reserve point (PRP)—as well as temperature and irradiance while providing sufficient power capacity for microgrid integration. To validate its effectiveness, the platform was assessed for its capability to adjust operating points, such as MPPs or PRPs, under varying irradiance and temperature conditions. The results show that the platform effectively adjusts operating points with a deviation of less than 5% from theoretical values and successfully tracks a sequence of operating points. This performance underscores the platform’s potential in integrating and managing PV systems within microgrid environments, thereby advancing the path to decarbonization.

The Influence Of Sharia Marketing On The Decision Of Medical Beauty Clinic Guests In Choosing Services At Rumah Cantik Sehat Muslimah Yogyakarta

This study aims to determine the magnitude of influence on purchasing decisions (Y) on halal labels (X1), halal products (X2), and medical aesthetics (X3). Quantitative research methodology is the one applied. Data collection was carried out using questionnaires at Rumah Cantik Sehat Muslimah Gedongkuning Yogyakarta, with a sample of 92 respondents. With SPSS output, this study uses Data Quality Test, Classical Assumption Test, Multiple Linear Regression Test, and Hypothesis Test. The study's findings suggest that medical aesthetics and halal labels influence consumer decisions. The variables of halal labels, halal products, and medical aesthetics influence purchasing decisions simultaneously, although halal products do not show a major influence on purchasing decisions.

Analysis of strategies for increasing the competitiveness of jackfruit chips small medium enterprises in Malang Regency, Indonesia

Jackfruit chips small and medium enterprises (SMEs) in Malang Regency play an important role in national economic growth. The purpose of this study was to find a strategy to improve the competitiveness of jackfruit chips in Malang Regency. Technical analysis of research data was conducted using analysis of external and internal factors and the concept of the house model for determining strategies for increasing the competitiveness of jackfruit chips SMEs in Malang Regency. The results showed that by increasing product variables, improving human resources and marketing institutions could be a strengthening strategy for increasing the sustainable competitiveness of jackfruit chips SMEs.

Systematic Analysis of Packaging Production in the Electric Motors Industry: A Multi-Criteria Approach through the SAPEVO-M Method

Market competitiveness drives the electric motors industry, which in turn necessitates the selection of optimal production scenarios, particularly in the context of packaging. This is crucial for maintaining competitiveness and meeting the rigorous quality and logistical demands that are characteristic of this industry. This paper presents a systematic analysis of the packaging production chain for electric motors, employing the SAPEVO-M method as a decision aid tool. The study examines various strategic options, including outsourcing and internalizing processes, with a particular focus on their impacts on logistics, quality control, and overall supply-chain efficiency. The research conducts a comprehensive evaluation of these strategies to ascertain the most effective approach for managing the complexities of packaging production. The SAPEVO-M method facilitated a structured decision-making process, allowing for the aggregation and prioritization of diverse criteria such as cost, quality, flexibility, environmental impact, and supply risk. A sensitivity analysis was performed to validate the robustness of the decision-making outcomes under varying alternatives. The findings highlight the benefits of internalizing certain processes, particularly the assembly (with a score of 43.27%), to gain direct control over production variables, leading to enhanced operational efficiency and product competitiveness. This paper contributes to the literature by demonstrating the application of MCDA in enhancing strategic decisions within the electric motors industry, providing insights for analyzing other manufacturing factors in the improvement of supply-chain processes.

Soybean production and net revenue variability in an integrated crop–livestock system

Soybean production and net revenue variability in an integrated crop–livestock system