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Manual collection of vehicle license plates is often inefficient and prone to errors, so an automatic identification system is needed. This research aims to implement and evaluate the performance of a license plate character detection system, focusing on the accuracy comparison between black and white base plates in Indonesia. The method used is Optical Character Recognition (OCR) with image preprocessing workflow including Grayscale, Gaussian Blur, and edge detection implemented in Google Colab. The system was tested using 100 primary data samples consisting of 50 black base plates and 50 white base plates. The findings showed that the system achieved a combined average accuracy of 84.36%. Specifically, it was found that the accuracy on the black base plate (85.40%) was slightly superior to that on the white base plate (83.32%). The implication of this study is that the change in license plate standards has a measurable technical impact on the ANPR system, where the findings can serve as a foundation for developers to calibrate the system to be reliable on both plate types during the transition period.

Improving the quality of education in higher education is highly dependent on the performance of lecturers, which includes teaching ability, contribution in research, community service, and other academic and non-academic activities. This study aims to design and implement a Decision Support System for measuring lecturer performance using the Analytic Network Process (ANP) method at Universitas Teknologi Akba Makassar (UNITAMA). The ANP method was chosen because of its ability to handle relationships between interdependent criteria. The study used a quantitative approach with descriptive and explanatory research types. Data were collected through document studies and interviews with related parties at UNITAMA. The results of system testing using the black box method showed that the system ran well as expected. This system is able to provide a comprehensive picture of lecturer performance and support more objective decision making. This study also opens up opportunities for further development, such as integration with other academic systems and feature enhancements based on institutional needs.

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

Selection of suppliers is a critical aspect that requires serious attention from every company, as it not only impacts the improvement of the supply chain quality but also affects the quality of the products produced. The current issue faced by PT Ciptaunggul Karya Abadi in the supplier selection process involves conducting direct surveys to several suppliers and comparing prices, which results in delivery delays and subsequent production delays. This situation forces PT Ciptaunggul Karya Abadi to find alternative suppliers unexpectedly. This research employs the Analytical Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in the supplier selection process at PT Ciptaunggul Karya Abadi. The objective of this study is to combine the ANP and TOPSIS methods to enhance the accuracy of decision-making in supplier selection. The results of this research identified four criteria and 12 sub-criteria, and the prioritized ranking of the best suppliers for PT Ciptaunggul Karya Abadi shows that PT Baja Kencana Sakti ranks the highest with a preference value of 0.56693, followed by PT Stilmetindo Prima with a preference value of 0.44565, and PT Fujimaki Steel with a preference value of 0.39298.

Stunting occurs due to malnutrition which inhibits growth in toddlers. Stunting can also be caused by problems during pregnancy. This study aims to identify the risk of stunting during pregnancy and determine pregnant women who are at risk of this condition. By identifying and prioritizing critical factors that contribute to stunting in children under five, this research is expected to assist policy makers in developing effective solutions to reduce stunting rates. Handling the problem of stunting is important for the Government because it relates to the future generation of Golden Indonesia 2045. This study evaluates appropriate actions or therapies to reduce the risk of having children born with the potential to experience stunting. In the process of selecting pregnant women who are at risk of giving birth to children with the risk of stunting, a selection procedure is carried out that considers several factors such as the mother's age, mother's nutritional intake, arm circumference, hemoglobin level, parity, birth spacing, height, and mother's body mass index (BMI). The analytic network process (ANP) approach is used to determine the outcome of the selection process. The ranking is determined based on the calculation of the weighting of the criteria and sub-criteria in the ANP method. Based on the results of calculations using the ANP approach, PM 1 pregnant women get the highest score and are ranked first. These pregnant women are considered to have the highest risk of giving birth to babies with stunting risk.

Education serves as the main pillar in the effort to develop human resources, continually evolving in line with the progress of time. Within the realm of education, English language learning plays a crucial role. However, the process of English language learning often faces challenges, including low levels of student motivation. This research explores the use of gamification with integrated chatGPT as an innovative solution capable of boosting student motivation and making learning more engaging and effective. Adapting previously proposed methodologies, this application is web-based, developed using Laravel, and tested using Likert scale. The testing yielded a satisfactory average result of 83%, with a 15.64% increase in user scores. The findings of this research provide a positive contribution to enhancing the quality of English language education in Indonesia, particularly at the Junior High School level.

The Government's goal to make Indonesia an Maritime Country must be supported by all elements of society, especially is from the education sector. As one of the maritime education institutions to improve competent human resources in its field, it needs training and supporting facilities and infrastructure. One way to increase competence is to supply cadets with capabilities in the field of operation and maintenance of ship machining. Synchronous generator is one of the important components in ship machining. Therefore, the ability to operate and maintain generators is absolutely necessary for cadets in the world of work. Standard selection of generator in the Shipbuilding Laboratory follows Government standards through the Ministry of Transportation Regulations. To choose the best electricity generator, a special method is needed. The solution to this problem is the use of the Analytical Network Process (ANP) to determine synchronous generators that meet the quality standards and specifications of stakeholders.By implementing ANP, the synchronous generator is obtained according to quality standards with the specifications desired by stakeholders. In applying ANP, weighting is based on criteria, namely: durability, maintenance, spare parts, specifications and price. Then obtained an electric generator with appropriate quality standards and specifications.Results of data processing using the ANP method obtained electical generator alternative selection with each weight is adalah CUMMINS GFS-C30KW 41,6 %, HARTECH HT35Y 33,9 %, and CATERPILLAR C2.2 24,5 %.

Penelitian ini mengusulkan model waterfall yang digunakan dalam pembuatan sistem pendukung keputusan multi attribute dengan menggunakan metode Analytic Network Process (ANP). Model ini menyediakan kebutuhan pengguna dan kebutuhan perangkat lunak yang meliputi penganalisaan domain informasi, tingkah laku (behaviour), unjuk kerja (function) dan antarmuka. Penggunaan metode waterfall dapat menghasilkan perangkat lunak yang reliable dan bekerja secara efisien. Dari metode waterfall yang diusulkan dapat menghasilkan sebuah analisis kebutuhan atau persyaratan untuk menentukan atau memberikan gambaran umum bagi pengguna agar dapat membantu atau mendukung pencapaian sasaran pembuatan sistem yang meliputi kebutuhan data dan informasi, kebutuhan proses dan fungsi dan kebutuhan antarmuka atau interface.