As time advances, humans need technology as a tool to help and facilitate all their activities in daily life, one of which is in the fields of transportation or food. In Indonesia, technological developments in the transportation sector can be seen from the rapid development of the Grab application. Through the Grab application, initially OVO was only used by the public as a payment method for Grab's transportation services. But now consumers can carry out various activities ranging from transportation to ordering food. This phenomenon illustrates how the Grab application with a payment system via OVO can be massively accepted by the Indonesian people. Acceptance of this technology can be analyzed using the Technology Acceptance Model (TAM). When using technology, people do not always receive the benefits, accept the convenience, and fully accept the risks, but often there is resistance or mistakes often occur. Therefore, this research aims to analyze the influence of the Technology Acceptance Model (TAM) with the variables perceived usefulness, perceived ease of use, and Perceived Risk in Grab application users on Reuse Intention. The population of this study were all Grab application users in Pangkalpinang City, with purposive sampling involving 112 respondents whose characteristics of application users ranged from 18-50 years and had also used the OVO feature for at least 1 year. The analytical method that will be used to analyze the data is SPSS 26.0. The results of this research explain that the variables perceived usefulness, perceived ease of use, and Perceived Risk have an influence on Reuse Intention.

This article explores the utilization of digital technology to enhance public legal awareness from a comparative global perspective. In the digital era, technology has become a significant tool for expanding access to legal information and empowering individuals to understand their legal rights and obligations. This study analyzes various global practices, including digital initiatives such as law-based mobile applications, e-learning platforms, social media-based legal awareness campaigns, and online legal aid systems. Furthermore, the article evaluates the necessary legal reforms to effectively support the use of digital technology in legal contexts, with a focus on Indonesia. By comparing approaches in countries such as the United States, the United Kingdom, and Scandinavian nations, this research provides recommendations to strengthen inclusive and equitable digital legal awareness strategies. The article underscores the importance of technological innovation in fostering a legally informed society and supporting legal transformation in the digital age.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

Pregnancy anemia is a medical condition that occurs when a pregnant woman experiences a lack of red blood cells or hemoglobin in her blood during pregnancy. Hemoglobin is a protein in red blood cells that is responsible for transporting oxygen from the lungs to the rest of the body and returning carbon dioxide to the lungs to be released. This study aims to determine the relationship between knowledge, age, education and nutritional status with the incidence of anemia in pregnant women in Soppeng district in 2024. The study design used Cross Sectional. Pregnant women at La Temmamala Hospital were 50 people. Based on the results of the Chi-square statistical test, the p Value = 0.273> ? = 0.05 was obtained, so H0 was accepted and Ha was rejected, thus it can be concluded that there is no relationship between knowledge and the incidence of anemia in pregnant women at La Temmamala Hospital, Soppeng Regency. Based on the results of the Fisher's Exact Test statistical test, the p Value = 1,000 > ? = 0.05 was obtained, so H0 was accepted and Ha was rejected, thus it can be concluded that there is no relationship between age and the incidence of anemia in pregnant women at La Temmamala Hospital, Soppeng Regency. Based on the results of the Fisher's Exact Test statistical test, the p Value = 1,000 > ? = 0.05 was obtained, so H0 was accepted and Ha was rejected, thus it can be concluded that there is no relationship between age and the incidence of anemia in pregnant women at La Temmamala Hospital, Soppeng Regency.m Based on the results of the Chi-square statistical test, the p Value = 0.000 <? = 0.05 was obtained, so H0 was rejected and Ha was accepted. Thus, it can be concluded that there is a relationship between nutritional status and the incidence of anemia in pregnant women at La Temmamala Hospital, Soppeng Regency. For the author as information on the importance of mother's knowledge about For the author as information on the importance of mother's knowledge about the importance of ANC examination. For the government in general to optimize the dissemination of information about the importance of conducting pregnancy examinations

Power efficiency and real-time performance are two essential aspects in the development of Internet of Things (IoT) systems, especially for temperature monitoring applications operated continuously with limited energy resources. This study aims to compare two widely used microcontroller platforms—ESP32 and Raspberry Pi Pico W—in the context of an IoT-based temperature monitoring system using the DHT22 sensor and Wi-Fi communication. A quantitative experimental approach was employed, including measurement of average power consumption, system response time, and initial booting time over more than 100 operation cycles. The results show that Raspberry Pi Pico W consumes significantly less power (90 mA) than ESP32 (160 mA). However, ESP32 outperformed in real-time response, recording an average latency of 240 ms, while Pico W recorded 310 ms. Pico W also demonstrated faster boot time (950 ms) compared to ESP32 (1500 ms), which is beneficial in deep sleep scenarios. These findings highlight a trade-off between power efficiency and system responsiveness. This study contributes practically by providing a technical basis for selecting suitable microcontroller platforms based on application-specific needs. The results may serve as a reference for developing energy-efficient and responsive embedded systems, particularly in agriculture, healthcare, and smart home sectors.

This study aims to examine Auditor Switching on Audit Report Lag. The population in this study is all property & real estate sector companies listed on the Indonesia Stock Exchange in 2019-2023. The variables used in this study are Audit Report Lag as the dependent variable and Auditor Switching as independent variables. The sampling technique used was the purposive sampling method and obtained 95 company samples. The analysis methods used were Descriptive Statistical Analysis, Classical Assumption Test, Correlation Test, Multiple Linear Regression Test, and Hypothesis Test. The results showed that Auditor Switching had a significant positive effect on Audit Report Lag.

This study aims to determine the fair price of shares in determining stock investment decisions in state-owned banking issuers listed on the Indonesia Stock Exchange in 2019-2023. This research method uses a qualitative descriptive approach. There are three companies in the study that are the subjects of the study, namely PT Bank Rakyat Indonesia, PT Bank Negara Indonesia, and PT Bank Mandiri. Using fundamental analysis with stock valuation using the price earning ratio (PER) method. The study uses secondary data. The application of fundamental analysis with stock valuation using the price earning ratio (PER) method shows that in 2019, 2021, 2022 and 2023 BBRI, BBNI, and BMRI shares were undervalued (cheap), while in 2020 BBRI and BBNI shares were overvalued (expensive) and BMRI shares were undervalued (cheap).

This article aims to provide an explanation of creative methods for inclusive education, especially for students at the Sukoharjo State Special Elementary School who prioritize motor skills and the ability to interact with other people. Data was collected through interviews and observations, and qualitative methods were used to compile this article. Literature review is the basis of process analysis. The findings from this study indicate that educators have the potential to enhance the utilization of educational resources, objectives, tools, techniques, assessments, and learning atmospheres through the implementation of innovative teaching methods. Diverse instructional approaches, ranging from remedial and deductive to inductive and heuristic techniques, can be employed to accommodate elementary-level students with special needs. Collaborative learning, behavior modification, and other methods are also beneficial. Moreover, it is suggested that teachers explore alternative learning aids like puzzles to cater to the unique needs of these students.

Orang tua sebagai penentu dalam mengembangkan kreatifitas anak, pendampingan orangtua yang sangat dekat dan akrab dengan anak nya dapat berpengaruh terhadap kreatifitas dan bakat anak dalam berkarya seni rupa, penelitian ini bertujuan untuk mengalisis sejauh mana pentingnya pendampingan orangtua untuk mengembangkan kreatifitas dan bakat anak berkarya seni rupa (mewarnai), kegiatan mewarnai pada seni rupa berfungsi untuk mengasah otak anak, meningkatkan daya imanjinasi anak, menambah wawasan anak terhadap bentuk warna dan estetika serta menumbuhkan daya kreatifitas anak, minat dan bakat anak, selain itu, menumbuh rasa percaya diri anak terhadap karya mewarnai yang mereka rancang. Objek penelitian pada anak berusia 4 sampai 8 tahun  di Rumah Seni cemara ceria. Penelitian ini menggunakan jenis penelitian kualitatif fenomologi dimana peneliti melihat secara fenomena yang terjadi dilapangan selain itu penelitian juga membuktikan dengan dokumentasi agar hasil penelitian ini lebih akurat, hasil penelitian ini untuk menunjukan melalui pendampingan orang tua, dimana orang tua terlibat langsung dalam mengembangkan kreatifitas dan bakat telihat secara langsung. Dengan adanya orangtua disamping anak, anak merasa lebih nyaman, lebih percaya diri, kretifitas nya lebih terlihat dari pada tidak ada orangtua disamping anak, anak terlihat takut, dan malas serta menangis. Hal ini memperlihatkan perndampingan orangtua sangat penting dalam tumbuh kembang anak dan mengembangkan kreatifitas dan bakat anak dalam mewarnau seni rupa. Dengan adanya pendampingan orangtua, orang tua langsung memberikan pendidikan  kepada anak pentingnya kerjasama, berkerja teliti dalam mewarna, serta belajar untuk sabar dalam memberi warna pada gambar karna sejatinya pendidikan pertama pada anak buka terletak pada guru disekolah, tetapi pada orangtua anak.

Liquified Petroleum Gas (LPG) merupakan kebutuhan rumah tangga yang saat ini paling banyak dimanfaatkan oleh masyarakat sebagai bahan bakar selain minyak bumi. Apabila gas LPG mengalami kebocoran tidak dapat dideteksi apabila jarak indra penciuman cukup jauh, sehingga diperlukan sebuah sistem untuk mendeteksi terjadinya kebocoran gas yang dapat menyebabkan kebakaran melalui jarak jauh. Penelitian ini bertujuan untuk mendeteksi terjadinya kebocoran gas dan kebakaran yang dapat memberikan informasi kepada pengguna melalui pesan ke aplikasi Telegram. Metode penelitian yang digunakan adalah prototype. Hasil penelitian ini mampu merancang sistem untuk mendeteksi adanya kebocoran gas dan kebakaran menggunakan NodeMCU ESP8266 berbasis IoT, dimana alat ini dapat memberikan tanda peringatan berupa nyala lampu LED, suara alarm dari buzzer, menampilkan keadaan melalui LCD, dan menerima notifikasi peringatan ke Telegram.