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This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

This study aims to identify various aspects that pose obstacles or difficulties for students in learning Mechanics. This study uses a qualitative descriptive approach that focuses on describing the types of difficulties students encounter in solving mechanics problems. The research subjects were first-semester students of the Science Education Study Program at KH. Mukhtar Syafaat University (UIMSYA) Blokagung Banyuwangi who were taking Basic Physics courses on Mechanics material. Data collection was carried out through diagnostic tests and interviews with students. The instruments used were diagnostic tests and interview guidelines. The location of students' learning difficultdiies was analyzed based on the errors that appeared in the completion of the diagnostic test. The results showed that the main difficulty students had in learning mechanics was in mastering basic mathematical skills, particularly in differential and integral material. Therefore, lecturers or teachers need to design and develop more appropriate learning strategies so that students' problem-solving skills can improve.

This study aims to analyze the errors made by eleventh-grade students of SMA Swasta Eria in solving word problems related to quadratic equations and quadratic function graphs using Newman’s error taxonomy. The research employed a descriptive qualitative method involving 25 students who were given essay-type tests to measure both conceptual understanding and problem-solving skills. Data were collected from students’ written answers and analyzed according to Newman’s stages, which include reading, comprehension, transformation, process skills, and encoding. The findings reveal that errors occurred across all stages, with transformation errors and encoding errors being the most dominant. These mistakes generally stemmed from students’ inability to extract key information into correct mathematical models, inaccuracies in arithmetic operations, and insufficient understanding of fundamental quadratic concepts and their graphical representations. The results highlight the importance of instructional approaches that emphasize conceptual understanding, varied practice problems, and proper mathematical notation. Regular application of Newman’s error analysis is expected to help teachers provide more targeted feedback and improve students’ problem-solving abilities.

Electric Vehicles Require A Reliable Monitoring System To Maintain Their Efficiency And Safety. This Study Designs A Monitoring System For Battery Condition And Vehicle Location Based On The Esp32 Microcontroller And The Mit App Inventor Application. The System Uses The Pzem 017 Sensor To Monitor Voltage, Current, Power, Energy, As Well As Battery Capacity And Health, And The Neo-7m Gps Module For Location Tracking. Data Is Displayed In Real Time Through An Android Application. Test Results Show That The System Provides Accurate Information, With Minimal And Statistically Insignificant Measurement Errors According To The Paired T-Test. The System Also Remains Stable At Various Vehicle Speeds (Anova), And The Location Tracking Demonstrates An Average Accuracy Of 4.77 Meters In Open Areas. In Enclosed Areas, The Error Increases To An Average Of 10.26 Meters. The System Is Also Capable Of Automatically Calculating Battery Capacity And Health. Overall, The Developed System Proves To Be Effective, Efficient, And Flexible In Supporting The Reliability And Safety Of Electric Vehicles.

The study aimed to identify and analyze the errors made by seventh-grade students at SMP Dwijendra Denpasar in pronouncing certain English consonants, which are essential components of their target language learning. The study specifically focuses on the student’s articulation of six English contoid consonants: [ʃ], [ʧ], [θ], [ʒ], [ʤ], and [ð]. A qualitative descriptive method was applied in this research, involving several stages: collecting data from the students as research subjects, organizing and constructing the data for analysis, interpreting the results, and drawing relevant conclusions. The research findings revealed that no students could pronounce the targeted consonants accurately according to standard English pronunciation norms. The articulation errors were mainly caused by various influencing factors, including interlingual transfer, where the students’ first language interferes with their pronunciation of English sounds, and intralingual factors, which refer to difficulties arising from the complexities within the English language. However, the mispronunciation of key consonant sounds created misunderstandings and affected the clarity of their spoken language. As a result, these errors posed a challenge in achieving effective oral communication as a critical aspect of mastering a second language. The findings emphasized the importance of addressing these pronunciation challenges through targeted interventions and improved teaching strategies to enhance students’ language proficiency and communication skills.  

Blood pressure is a crucial factor in the circulatory system of the human body. It refers to the amount of force exerted by the blood on the inner walls of the arteries when it is pumped throughout the circulatory system. Blood pressure can be measured using a device known as a digital sphygmomanometer, which determines systolic pressure, diastolic pressure, and beats per minute (BPM) of the human heart. As technology evolves, the digital sphygmomanometer has been enhanced with features such as the Internet of Things (IoT). IoT in healthcare refers to the use of information technology to enable remote health monitoring by healthcare professionals. A digital sphygmomanometer equipped with IoT facilitates the exchange of diagnostic information, treatment decisions, and prevention of diseases and injuries. This IoT-based digital sphygmomanometer is designed using the ESP32 microcontroller. A DC motor is used to apply pressure to the cuff, and a solenoid valve is used to release air from the cuff. The MPX5700AP sensor detects systolic and diastolic blood pressure, as well as BPM. The system also includes a motor driver to control the DC motor and solenoid, a Nextion LCD display to show blood pressure results, and a web server to display and store measurement data. The percentage of measurement error for systolic pressure ranges from the smallest error of 3% to the highest error of 25%. For diastolic pressure, the error ranges from 4% to 36%. As for BPM, the smallest error recorded is 13.6%, and the highest is 70.2%. This device helps patients monitor their systolic pressure, diastolic pressure, and BPM, with results saved and monitored through a database system.

This research aims to describe students' difficulties in solving equations and inequalities. This type of research is descriptive using a qualitative approach. Based on the discussion and research results, it can be concluded that the errors that students often make in this material are errors at the reading and transformation stages. In addition, students also often make mistakes at the process skill stage, namely errors in understanding the problem, understanding the concept, determining the correct formula, and performing the calculation process. The factors that cause students to make mistakes are that students are less precise in determining known and questionable information, less precise in compiling problem solving steps, less precise in using formulas, less precise in writing the steps of completion, less precise in performing correct calculations, not determining the conclusion of what is asked, and not re-examining the results of the answers that have been done.

Palm oil production in Indonesia is basically a commodity for export and Indonesia itself is the largest exporter of palm oil in the world. This can prove that palm oil exports from Indonesia are able to compete with other tea exporting countries. The aim of this research is to determine the influence of land area, production quantity, and world price of CPO simultaneously and partially on the volume of Indonesian palm oil exports from 1994-2023. The data used in this research is secondary data in the form of quantitative data sourced from BPS and the World Bank. The area of ​​this research is the Republic of Indonesia. The data analysis technique used is the Error Correction Model (ECM) analysis technique. The research results show that land area, production volume and world price of CPO simultaneously influence the volume of Indonesian palm oil exports. The production quantity variable partially has a positive and significant effect. The variables of land area and world price of CPO partially have no effect. Considering the importance of exports to a country's economy, it is necessary to increase the export volume of palm oil in Indonesia, as one of Indonesia's leading export commodities, by paying attention to factors that can influence export volume.

Talking is an activity that cannot be separated from the interaction between people in daily life, starting from oral to written. In written language, there are many linguistic errors, both in terms of phonemes, morphemes, and word writing. This study aims to analyze and describe language errors in external media located on Siliwangi Street, Tasikmalaya. Qualitative descriptive is a method used in this study by grouping data, analyzing data, and drawing conclusions based on the results of the analysis. From this study, it was obtained that the phoneme replacement error was found in the replacement of the phoneme /ai/ with /e/, /u/ with /o/, and /r/ with /e/, the phoneme deletion error was found in the deletion of the phonemes /s/, /n/, and /k/, and the errors in the replacement and addition of phonemes were found in the replacement of the phoneme /o/ to /o/, the replacement of the phoneme /g/ with /k/ and the addition of the phoneme /e/.

Bahasa Indonesia as an official communication tool had grammatical guidelines such as Ejaan Bahasa Indonesia yang Disempurnakan (EYD) V, which was used to regulate the use of letters, punctuation, and word writing. One important aspect of this grammar was the correct use of capital letters. Unfortunately, there were still many errors in applying this rule, both in scientific and non-scientific writing. This study aimed to analyze the capitalization errors in the three winning letters of the Writing a Letter to the Minister of Education and Culture competition published on the Instagram account @kemdikbud.ri. This research used a qualitative method to examine the errors in capitalization in more depth. The results showed that most errors occurred in using capital letters at the beginning of sentences and proper names, and there were also inappropriate capital letters in the middle of sentences. Further education on capitalization was still needed, especially to improve good and correct writing skills according to Indonesian language guidelines.

Administrative Decisions (KTUN) are one of the important legal instruments issued by state administrative officials to carry out government functions. However, it is often found that KTUNs are legally defective due to violations of the principle of legality, general principles of good governance (AUPB), or applicable administrative procedures, which lead to their annulment by the State Administrative Court (PTUN). This study aims to analyze the legal basis and the form of legal responsibility in the administration of State Administrative Decisions (KTUN) that have been annulled. This research uses a juridical-normative method with an approach based on laws and regulations and legal doctrines. The study shows that the annulment of KTUNs by PTUN is usually caused by procedural and substantive violations, such as issuing decisions beyond authority or not meeting formal requirements. In the context of legal responsibility, the agency issuing the KTUN is obligated to retract the decision, restore the rights of the affected parties, and issue a new decision that complies with the law. Furthermore, the officials at fault may be subject to administrative sanctions, ranging from a warning to dismissal, depending on the severity of the error. State administrative officials whose KTUNs have been annulled must fulfill their legal responsibility by revoking or correcting the KTUN, restoring the rights of the affected parties, providing compensation, and implementing administrative sanctions if necessary. Additionally, criminal liability may apply if there is an element of abuse of power. This finding underscores the importance of compliance with the principles of AUPB and positive law in every administrative action to prevent harm to society.

The storage space for CO2 gas cylinders is inside the ship's accommodation, so there is a risk of danger if a leak occurs because the ship's accommodation has poor air circulation. This research is devoted to removing dangerous gases from the room. This research designs and modifies a tool that can detect CO2 levels and can provide a danger signal to the surroundings. This modification uses a Raspberry Pi Pico W microcontroller. This research method uses system design, a series of tools with wiring design and uses 2 test plans, namely: testing static and dynamic testing.  Testing the precision of the sensor by reading the CO2 leak detector using a CO2 measuring instrument obtained an average error value of 3.5%. The error value is still categorized as a safe difference value and the prototype works according to the expected function. Testing the function of the tool results in values ​​for the MQ-135 buzzer and exhaust fan sensors which will turn on if the CO2 level is above 600 ppm in accordance with the safe threshold for CO2 levels in the air which has been set in the program. Telegram request bot testing can work well as expected. Testing the Telegram Receive bot can work well as expected. However, for testing Telegram bots, requests and receives are influenced by the internet network.

Stunting is a growth and development disorder in children caused by chronic malnutrition over a long period of time, especially in the first 1,000 days of life, namely from pregnancy to the first 2 years of life. There are more than 149 million (22%) toddlers worldwide who are stunted, of which 6.3 million are Indonesian toddlers. Based on data from the Ministry of Health, the stunting rate in Indonesia in 2023 was recorded at 21.5 percent, only down 0.1 percent from the previous year which amounted to 21.6 percent. Predicting the number of stunted toddlers is very important and necessary to know the stunting rate in Langkat Regency in 2024, and the prediction results can help health workers in handling and preventing the spread of stunting. The method applied to this prediction system is Multiple Linear Regression where this analysis determines whether each independent variable is positively or negatively related, the direction of the relationship between variables, and estimates the value of the dependent variable will increase or decrease.  The prediction system is carried out using the RapidMiner application because this application is very appropriate to produce information output in the form of prediction results for the coming year. The prediction results obtained are an increase and decrease in 2024 in each sub-district and there are sub-districts that do not experience an increase and decrease. The sub-district with the highest number was Secanggang with approximately 177 people, and the sub-district with the lowest number of stunted children was West Berandan with approximately 55 people. Then Stabat sub-district became the sub-district that experienced the most increase in the number of stunting, which was around 15 people, and the sub-district that experienced the most decrease was Kuala sub-district with a total of approximately 23 people. From the overall results it can be calculated that the number of stunting in all districts in Langkat Regency amounted to approximately 2453 people in 2024. And testing the error rate of prediction results using RMSE in the RapidMiner application of 7.63%, where the level of accuracy in the prediction of child stunting in Langkat Regency is 92.46%.

Waterpark Matua is one of the land use objectives that can generate development attraction as a water recreation destination that offers the potential attraction of a beautiful natural panorama because it offers a view consisting of plantations and rocky hills surrounding the tourist area so that it has a beautiful and exotic photo spot. This study aims to determine the characteristics of visitors, what factors affect the attractiveness of visitors, and the growth rate factor of future visitor attraction using the furness method. This research was conducted for 2 months with questionnaire data collection, and processed using the SPSS 24 application. The results showed that the characteristics of visitors according to gender showed that most visitors were female based on a percentage of 66%, age 11-20 years with a percentage of 38%, most visitors from the Alla, Anggeraja, Curio districts with a percentage level of 38%, Students with a percentage level of 47%, the most visitors' transportation mode is motorbike with a percentage level of 70% and the movement attraction model with multiple linear regression analysis method is Y = 2.839 + 0.340 (x1) - 0.473 (x2) + 0.196 (x3) - 0.228 (x5) + 0.190 (x9) + 0.419 (x12). Factors that influence the occurrence of attraction are variables of home distance (x1), transport costs (x2), length of travel time (x3), destination to tourist attractions (x5), food prices (x9), and building conditions (x12). The growth rate factor from the analysis results using the Furness method obtained a growth factor value of Ed = 0.9897 which has met the requirements of the error tolerance limit, with an expected visitor attraction value of Dd = 3214.

Sales forecasting is a technique that companies use to predict future sales volumes based on previous sales data. This research aims to help UMKM  XYZ determine the optimal production amount to maximize profits, by using forecasting methods in planning mocaf flour production. The methods used include the Time Series model with Moving Average, Exponential Smoothing, and Trend Analysis, which are calculated using POM QM Windows software. The analysis results show that the Trend Analysis method is the most accurate for forecasting, with the smallest error value, namely MAD of 76.997, MSE of 8161.672, and MAPE of 6.02%. The smaller the error value, the more accurate the forecasting results. Therefore, the Trend Analysis method is recommended for forecasting mocaf flour sales in XYZ UMKM in 2024, with the production of 15,100 kg to avoid excess stock and dead stock in meeting consumer demand.    

In the era of maritime technology, Unmanned Surface Vehicles (USVs) are becoming the main vehicles on the water surface, controlled from land and capable of transmitting live data. USVs have a wide range of survey and exploration applications, relying on hydrographic knowledge for accurate mapping. USV development has adopted a double hull design, improving stability and wave resistance. Survey data transmission requires advanced technology, with Long Range (LoRa) technology being the solution for long distance data transmission with low power consumption. LoRa utilisation is expected to increase the efficiency of USVs in hydrographic surveys. The research and development (R&D) research method is used as the main approach in this research with the aim of creating and developing USVs that can increase efficiency in hydrographic surveys. The USV is equipped with an RPM sensor and flowmeter used to monitor the movement control of the USV in the waters. In addition, a depth detector is used to monitor the topography of the seabed. In order for this USV to run using a remote control that is controlled from land. The USV drive consists of a BLDC motor connected to the propeller and a servo motor connected to the ship's rudder. Furthermore, the data taken from the sensor is sent via LoRa to be delivered to the ground station. From the USV test results, it was found that the data transmission range with LoRa Ra-02 under Line of sight (LOS) conditions was 340 metres while under Non Light of sight (NLOS) conditions it was around 200 metres. The average speed travelled by USV is 0.616 km/hour in operational survey conditions and can be faster in non-operational survey conditions. The error value of the RPM sensor is obtained at 1.604% with a reading accuracy of 98.936%.

BIM technology in the construction world is growing. However, the application of BIM in Indonesia has not been carried out thoroughly. BIM technology can help quantity take off work that affects the success or failure of a project. BIM can reduce the error rate of quantity take off planning calculations compared to manual calculations. Tekla Structure is one of the software developments of BIM that can produce quantity take off building output along with 3D visualisation. This research conducts 3D modelling and discusses the comparison of quantity take off using BIM-based software Tekla Structures with a recap of the manual calculation contained in the initial Bill of Quantity for the X Building Project planning. This difference can be used as a consideration for the application of BIM in the initial calculation of project planning. The percentage difference obtained for the pile cap  resulted in concrete volume deviation of 0.69% and -19.1% for reinforcement volume. The spun piles work resulted in a concrete volume deviation of -0.8% and reinforcement volume of 8.45%. In the calculation of column work, the deviation value for concrete volume is 3.14%, while the volume of reinforcement is -12.2%. The results of the BIM quantity take-off are deemed more reliable due to the 3D visualization of BIM objects and the ability to adjust the detail of work elements.

Autoclaves are the most widely used tool for sterilization worldwide and are considered the most effective and cost-effective method for sterilizing medical equipment. The research aims to design and build an autoclave that uses an Arduino microcontroller as the brain of the system and is equipped with a temperature sensor, heater driver, heater and power supply. This autoclave will help ensure that the medical equipment used is sterile by using a working system using a 121℃ pressurized steam heat method for 15 minutes. Based on the results obtained, an Arduino nano-based autoclave device has been successfully created. By measuring each measurement point, the error value is very small, namely TP1 at a voltage of 5.1 with an error of 2%, TP2 at a voltage of 4.8 with an error of 0.4%, TP2 at a voltage of 4.8 with an error of 0, 4%, TP4 at a voltage of 225 with an error of 2%, TP5 at a temperature of 121 with an error of 0%.      

The concept of algebra is very important in learning mathematics, students' ability to understand advanced mathematics lessons depends on mastery of algebraic concepts. Therefore, it is necessary to analyze the errors that often arise when students solve algebra problems. The purpose of this study is to analyze the errors of vocational students in class XI in solving algebra problems. This research uses a qualitative method that is analyzed descriptively. The research subjects were 28 students of class XI with the object of research, which is the errors that arise when students solve algebra problems. The results showed that based on Kastolan's Theory, procedural errors occur most often, followed by technical errors, and concepts.

Medicinal chemicals (BKO) are chemical compounds that are commonly added to traditional medicinal preparations to increase the drug's indications and offer a powerful and rapid impact in illness treatment. Traditional medicines containing BKO in Indonesia, particularly in East and West Java, are increasing year after year, from 43 to 50-53 traditional remedies containing medicinal compounds. Using the normative method, researchers will be able to use the findings of empirical legal science and other sciences to analyze and explain law without altering the character of normative legal science. The Consumer Protection Law Number 8 of 1999 regulates legal protection for consumers who consume industrially produced traditional medicines containing dangerous chemical chemicals. Article 19 (1) states that business actors are responsible for compensating consumers for damage, pollution, and/or losses caused by the consumption of goods and/or services produced or traded. (2) The compensation described in paragraph (1) may take the form of a refund or replacement of products and/or services of the same kind or equivalent value, or health care, and/or the payment of compensation in line with the provisions of the applicable laws and regulations. (3) Compensation is granted within 7 days after the transaction date. (4) Providing compensation as stated in paragraphs (1) and (2) does not preclude criminal prosecution based on further evidence indicating the presence of an element of error. (5) If the business actor can demonstrate that the error was caused by the customer, the rules intended in paragraphs (1) and (2) do not apply. Suggestions for effective implementation. Suggestions so that they can be implemented well.