Academic Journal of Industrial Technology Innovation

The Development of a Mathematical Adventure Game Using Construct2 Software

2024-11-29T13:35:24+07:00

Games are crucial for digital-age learning in children and youth. This research aimed to develop a math adventure game using Construct2, a role-playing game (RPG), designed for primary school students in the first phase (Grades 1-3). The goal was to foster both learning and enjoyment while solving mathematical problems involving addition, subtraction, units, and tens. The expectation was that this would cultivate a positive attitude towards mathematics and enable students to use the game for reviewing lessons. The research employed the IMMCAI model, following a four-step process: (1) Analysis, (2) Design, (3) Development, and (4) Experimentation and evaluation. Three experts evaluated the game's quality. The results indicated that the math adventure game developed using Construct2 was highly suitable for use as a teaching tool in primary school, specifically for Grades 1-3 ( = 3.97, S.D. = 0.56)

Evaluation of Influential Factors on Curry Puff Packaging Design Using Analytic Hierarchy Process (AHP): A Case Study of La-ngu District, Satun Province

2024-11-30T11:16:44+07:00

This study aims to evaluate the relative importance of factors influencing curry puff packaging design in La-ngu, Satun, Thailand, using the Analytic Hierarchy Process (AHP). Theoretical frameworks on packaging design and consumer behavior were employed to define the involved primary and secondary factors. Five curry puff entrepreneurs in La-ngu were purposively selected based on their expertise and experience in producing and selling curry puffs. Empirical data were collected through in-depth interviews and AHP questionnaires to analyze pairwise comparisons of the identified factors. The results indicated that packaging material (0.384) had the highest weight among the primary factors, followed by branding logo/design style (0.255), packaging color (0.136), label type (0.105), label color (0.062), and packaging information (0.059), respectively. This result indicate that entrepreneurs prioritize on maintaining product quality and freshness of curry puffs through appropriate material selection. Simultaneously, the design of brand/logo plays an important role in establishing brand identity and recognition. Among the secondary factors, plastic material (0.679) was given the highest weight of importance, aligning with the trend of using plastic materials in food packaging industry. The halal certification logo (0.613) was the next most significant secondary factor, reflecting the emphasis on Muslim consumers in the area. Other noteworthy secondary factors included the use of vibrant two – color labels (0.507), direct printing of information on packaging (0.373), and three-color packaging designs (0.276), indicating a focus on attractive design and effective information communication.

Forecasting Engine Oil Change Demand using Holt-Winters for Inventory Planning: A Case Study of a Truck Service Center in Songkhla

2024-11-29T18:45:21+07:00

The forecasting demand for oil changes using holt-winters models: a case study of a truck service center in Songkhla province aims to develop a forecasting model for oil change demand for large trucks using Holt-Winters and linear trend models. The study uses monthly data from a truck service center in Songkhla Province from January 2019 to December 2021, comprising 36 months of data. This research compares the performance of several time series forecasting models, including Holt's Linear Trend, Brown's Linear Trend, Damped Linear Trend, Winter's Multiplicative, and Winter's Additive, to determine the most suitable method for future service demand planning. Model performance was evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Mean Squared Error (MSE). The Winter's Additive model yielded the most accurate forecasts, exhibiting the lowest MAPE of 7.45% (95% Confidence Interval: 5.27 - 9.64) with a p-value of 0.159 between models. This highlights the model's ability to accurately forecast engine oil change demand. The findings are applicable to improving inventory management, resource allocation, service provision, and reducing inventory costs at the Songkhla truck service center.

Factors Influencing Electric Vehicle Purchase Decisions: A Case Study of Songkhla Province

2024-12-01T22:07:33+07:00

This study aimed to investigate the relationship between demographics and electric vehicle (EV) usage behavior, and to explore the factors influencing EV purchase decisions in Songkhla province, Thailand. The sample consisted of 120 EV users at charging stations (out of 150 distributed questionnaires). Data were collected through questionnaires and analyzed using descriptive statistics and Pearson's correlation coefficient. The results revealed that the majority of EV users were male (72.50 %), aged 30-50 (53.40 %), married (67.50 %), held a bachelor's degree (52.50 %), worked as business owners/entrepreneurs (42.50 %), and earned 15,000-25,000 THB monthly (43.30 %). Friends/close acquaintances (34.20 %) and family members (26.70 %) were the primary influencers in their EV purchase decisions, supporting the hypothesis that individuals with financial stability, higher education, and supportive social networks are more likely to adopt EVs. The main reason for purchasing an EV was convenience for commuting/daily use (45.80 %), with most users driving their EVs daily (43.30 %). Most EV owners already possessed a gasoline-powered vehicle, and the EV was not their first car (62.50 %), indicating that EVs are primarily used as a secondary vehicle for urban commuting and have not fully replaced internal combustion engine vehicles. Most EV users in this study did not express concerns about future EV running costs (75.80 %) and preferred charging at their convenience (55.00 %), suggesting adequate current charging infrastructure and effective charge management by users. Environmental awareness was the strongest factor influencing EV purchase decisions (mean = 4.46, standard deviation = 0.32), highlighting the importance of environmental consciousness among EV adopters. Furthermore, statistically significant correlations were found between age and purchase intention (p = 0.01), as well as between marital status and income with purchase intention (p = 0.05), confirming the influence of demographics and socioeconomic factors on EV adoption and usage.

Design and Performance Evaluation of a 5 Kilogram Ready-Made Organic Fertilizer Mixer Machine for Small-Scale Farmers

2024-12-10T21:04:31+07:00

This research aims to design and develop a ready-made organic fertilizer mixer machine. The objectives are to: 1) design and develop a ready-made organic fertilizer mixer and 2) evaluate the performance of the designed mixer. The design comprises three main components: an agitator, a power transmission system, and a structural frame measuring 50 x 90 x 120 cm. A 1-horsepower gear motor with 1335 rpm and a gear ratio of 8.9:1, a 14-tooth driving gear, and a 40-tooth driven gear are employed, resulting in a reduced speed of 52.5 rpm. Performance evaluation involved mixing 5 kg of organic fertilizer three times, with a mixing time of 5 minutes. The mixture exhibited optimal consistency, neither overly loose nor clumped. Expert evaluation revealed a very high level of satisfaction ( = 4.66, S.D. = 0.18), while user evaluation also indicated a very high level of satisfaction ( = 4.5, S.D. = 0.49). These results demonstrate that the designed ready-made organic fertilizer mixer is practical for everyday use, reducing labor and time required for mixing fertilizer.