Journal of Applied Statistics and Information Technology

Exploration and Comparison of No-Code AI for Website Development

Salintip Cheerapakorn — Thu, 19 Jun 2025 00:00:00 +0700

In an era where Artificial Intelligence (AI) is rapidly advancing, the use of AI-powered website builders has become a popular choice in 2024. These tools enable users to create websites quickly without requiring technical expertise or prior knowledge of coding. As a result, AI-driven website builders have emerged as a convenient and efficient solution for both business owners and general users seeking high-quality websites. A review of AI-based website creation tools in 2024 reveals that WIX, Jimdo, and Hostinger are the most popular platforms, each offering distinct features while all providing the common advantage of enabling fast and effective website creation. WIX is noted for its flexibility in design and a wide range of functions, Jimdo is tailored for small businesses with its focus on ease of use and speed, and Hostinger offers affordable web hosting services combined with user-friendly website building tools. Choosing the most appropriate tool for website creation should be based on features that align with the specific needs of the website, budget, and user convenience. Additionally, reading reviews and feedback from actual users is an important factor in making an informed decision on the best platform for website development.

Development of a Smart Pig Housing Model using Microcontroller and Internet of Things Technology

Kamonrat Dadtonram, Suphaphit Panayhamma, Prem Enkvetchakul — Thu, 19 Jun 2025 00:00:00 +0700

This research aimed to 1) develop a smart pig housing model using microcontroller and Internet of Things technology, and 2) evaluate the efficiency of the developed system. The research was conducted following the System Development Life Cycle (SDLC) methodology, testing the system with a small-scale pig housing model based on Meechai Farm in Nonrang Sub-district, Chumphuang District, Nakhon Ratchasima Province. The system efficiency was evaluated by three experts selected through purposive sampling. Data were analyzed using mean and standard deviation. The results showed that 1) the developed system consisted of a pig housing model with automatic control systems including feeding system, water spraying system for temperature reduction, ventilation system, and lighting system, which could be controlled through the Blynk application with notifications via LINE Notify, and 2) the overall efficiency evaluation was at a good level, with the application control aspect receiving the highest rating at a very good level, followed by system design and operational efficiency aspects, respectively.

Reduction of Non-Conforming Products in the Titanium Jewelry Manufacturing Process

Jennarong Tinsok, Nitidetch Koohathongsumrit — Fri, 20 Jun 2025 00:00:00 +0700

The purpose of this research is to reduce the number of non-conforming products in the titanium jewelry manufacturing process of Tita 0.5×1.2×08×4. The production process has encountered a problem in which the depth of earring holes deviates from the standard value of 6 millimeters. This issue arises from inappropriate machine parameter settings, including speed, feed rate, and depth rate. To address this problem, this research employed the 2^k factorial design to determine the optimal manufacturing conditions. The findings revealed that all the parameters had significant main and interaction effects on the depth of the earring holes. The settings should be as follows: speed of 3,750 revolutions per minute, feed rate of 0.0175 millimeters per minute, and depth rate of 0.0628 millimeters per revolution. The findings were implemented, and it was found that the optimal manufacturing conditions resulted in earring hole depths that were not significantly different from 6 millimeters. The adjustments of the machine parameters reduced the average quantity of the non-conforming earrings to 1,050 pieces per month, representing 56.03% decrease compared to the period before process improvement. As a result, the average manufacturing cost of the company case was reduced to only 43,013 baht per month. The benefits of this research can be utilized to reduce non-conforming products in other types of jewelry and serve as a guideline for continuous improvement of manufacturing processes.

Forecasting the number of mobile phone users in Thailand

Orawan Suebsen, Thirarat Maikaew — Fri, 20 Jun 2025 00:00:00 +0700

The purpose of this study was to create a predictive model. Compare models for forecasting the number of mobile phone users in Thailand. and to forecast the number of mobile phone users in the 1st quarter of 2023–4th quarter of 2023. The technique used to forecast the number of mobile phone users in Thailand is the exponential smoothing method. Holt's exponential smoothing methods, simple regression analysis, and Brown's exponential smoothing method, which the data studied are serial data. quarterly time from the 1st quarter of 2002 to the 4th quarter of 2022 from the data.go.th website, 84 data points, divided into two sets. Set 1 from the 1st quarter of 2002—2002 quarter. 4th year 2021, 80 data sets, 2nd set from 1st quarter 2022 to 4th quarter 2022, 4 data sets for comparing the accuracy of forecasting methods using the percentage of accuracy criteria. Expected average absolute movement The analysis results found that Brown's exponential smoothing method has a MAPE=0.26, which is less than 10%, therefore falling within the criteria for high accuracy in forecasting. Brown's exponential smoothing method is a suitable model for forecasting, which has a lower mean absolute percentage error (MAPE) than Holt's exponential smoothing method and the simple regression analysis method. The model is where m represents the number of periods to be forecasted forward. The default value was the 1st quarter of 2023; m=1 in forecasting the number of mobile phone subscribers in Thailand. The forecast values will be as follows: 120,472,244, 120,403,775, 120,335,307, and 120,266,839 people. We were forecasting the number of mobile phone users in Thailand in advance. It shows that the number of mobile phone users in Thailand tends to decrease.