Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.

The Merdeka Belajar Kampus Merdeka (MBKM) program provides students the opportunity to study for one semester outside of their major, aiming to develop the soft and hard skills required in the workforce. One key component of this program is internships or practical work, which gives students hands-on experience in the professional world and the chance to build professional networks. This research uses the K-Nearest Neighbor (K-NN) method to predict the impact of MBKM activities on undergraduate students at STMIK Kaputama. Using the RapidMiner application, student data was tested to obtain the accuracy of predicting students' engagement in the MBKM program in the future. The test results show that the K-NN model has an accuracy of 75.34%, indicating that the model is fairly good at predicting the impact of the MBKM program on students.
 
 

The many possible risks associated with laboratory work are unavoidable. This study aimed to determine and analyze hazards, risks, impacts, risk levels and occupational safety and health (OHS) controls in the physics and chemistry laboratories of the Occupational Safety and Health Center (OHS) Medan. This is a qualitative research method with phenomenological approach hazard identification using Task Risk Analysis method using AS/NZS 4360: 2004 semi-quantitative. The tolerable risk threshold in the chemistry lab was 52, priority 3 was 10, and major was 11. The only thing OHS controlled in the physics lab was the air conditioning system. The presence of SOP (work procedures), MSDS (material safety data sheet) documents, OHS signs, supervision, managerial support, and the use of PPE masks, gloves, long-hand lab coats, rubber shoes, and other safety measures were all necessary in chemistry labs. Expanding the space, adding SOP, installing ventilation are all suggested at the physics laboratorium, Adopting ANSI / AIHA Z9.5-2003 ventilation guidelines, changing or replacing processes with safer chemicals, providing OHS training, and wearing coveralls and glasses are all recommended in the chemistry laboratory.

Opioids have sedative properties and can lessen intraoperative nausea and vomiting (IONV), even if they may cause nausea and vomiting. The current work was aimed to evaluate the effect of anxiolytic dose of midazolam on Incidence of intraoperative nausea and vomiting during spinal cesarean section. The study was conducted from October 2023 to April 2024 with approval from the research and ethics committees of the university. once an informed consent form has been signed, full-term (90) pregnant participants were included, and scheduled for cesarean section (CS) under spinal anesthesia at Al-Shifa Private Hospital in Baqubah, Diyala. Data from all participants were analyzed. demographic data was non-significant (P?0.05) variance in the experimental group compared with the control group. The mean blood pressure in both groups, as it was measured every 10 minutes, starting from 0 to 40 minutes of the operation, and there were no significant (P?0.05) variance between the two groups. The findings showed that the 27 (60%) cases of Nausea and vomiting in the control group, which revealed a significant (P?0.05) variance compared with the medazolam group, if the number of cases was 8 (17.8%). We conclude that the incidence of intraoperative nausea and vomiting during cesarean sections performed under spinal anesthesia is significantly influenced by the dosage of anxiolytic drugs.

The purpose of this study is to analyze: the effect of job stress and job satisfaction on turnover intentions on employees who work. This research is descriptive. This research study aims to see the extent to which the influence of the dependent variable influences the independent variable. The population in this study is all employees who work. Data were collected through a questionnaire distributed to the sample / study respondents. Secondary data were obtained from documentation, literature studies, and previous studies relating to the study material. The collected data is then analyzed statistically by descriptive analysis and multiple regression.

The rapid development of technology increases the need for effective and efficient information. Information that is not managed properly loses value, especially when large amounts of data are available, making conventional methods no longer adequate to analyze the potential of the data. Therefore, a system capable of analyzing, summarizing, and extracting data into useful information is required. The Department of Agriculture and Food Security, as an agency that handles food security, agriculture, animal husbandry, animal health, and fisheries, is responsible for supporting the increase in agricultural yields to meet the food needs of the population and encourage economic growth. To achieve this goal, the agency needs to utilize technology to process agricultural data quickly and accurately. The system built using the apriori method can analyze data efficiently and provide recommendations for increasing agricultural yields. Based on the test results, a support value of 9% and a confidence of 68% were obtained, with the rule If the crop is Cassava, then the production yield is 6000-8000 tons.

This research aims to cluster disease data based on patient age using the K-Means method at RSUD Dr. RM. Djoelham. In this case study, the clustering method with the K-Means algorithm is used to group patients based on patient age, address and type of disease. With this method, information can be obtained regarding patient grouping patterns based on age at Dr. RM. Djoelham, who helps identify the closest relationships between patient groups and provides insight into the distribution of disease across age groups, regions and types of disease suffered.This research was conducted at RSUD Dr. RM. Djoelham by loading data from patients treated at the hospital. The data used is 1,100 patient data from 2022-2024 which has been recorded by the hospital. This patient data will be analyzed using 3 variables in the research, namely Patient Age (C1), Address (C2), and Type of Disease (C3). With the results, cluster 1 contains 320 data, cluster 2 contains 326 data, and cluster 3 contains 454 data.

This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in plant monitoring. Data from sensors is sent to the IoT platform and integrated with Telegram to provide remote notifications and control. Test results show that this tool can detect the presence of pests with high accuracy and is effective in repelling pests from the kale plant area. It is hoped that the implementation of this tool can help farmers maintain the quality and quantity of their kale harvest in a more efficient and environmentally friendly manner.

Dr. M. Munir Abdulrachman Saleh Air Force Hospital is a Class D Hospital owned by the Indonesian Air Force located in Pakis, Malang Regency. Electronic Medical Records are currently used as a form of transformation of the health care system in Indonesia. Based on the Minister of Health Regulation No. 24 of 2022, it states that all Health Facilities in Indonesia must organize Electronic Medical Records no later than December 2023. However, the use of Electronic Medical Records has not been widespread in health facilities in Indonesia. So, the purpose of this research is to develop an online Dr. M. Munir Abdulrachman Saleh Air Force Hospital outpatient registration application. This research uses a qualitative descriptive method and data collection using observation and interview methods with one of the medical record officers at Dr. M. Munir Abdulrachman Saleh Air Force Hospital. From the results of the study, the design of online registration of outpatients at Dr. M. Munir Abdulrachman Saleh Air Force Hospital to reduce the risk of errors in entering patient data to be registered. The test results show success in use as expected

The development of digital technologies such as gadgets has grown very rapidly in the last decade, which applications often do not determine the age range for users, especially for children. Today, parents are faced with the dilemma of letting their children use these modern gadgets, which often cause serious addiction or keep them in the dark and risk facing children who know nothing. These problems also occur in MI Miftahul Huda students in the Tulungagung Regency in East Java province. The research was conducted on February 20 to March 20, 2024. This research was only limited to one class, namely class 2 with the dependence of the gadget to be given an alternative game of kinetic sand. The design of this study uses experimental quasy with pre and post design tests. The population in this study were MI Miftahul Huda Pulerejo Tulungagung students who were dependent on gadgets that met the research inclusion criteria. The sample in this study were 23 respondents. The problem of gadget dependency data has a very high level, which will affect the development of children's social skills. For that, a suitable method is needed for analyzing it, the method that has been used is to use traditional games by playing with their peers. Another solution researchers will use the game of kinetic sand to overcome the problem of gadget dependence on children, which has benefits in playing kinetic sand such as for creativity and as a gathering place for socialization. The general objective is to play kinetic sand to develop social skills in children, while the specific goal is to find out whether kinetic sand is the right game tool to overcome gadget dependency problems in primary school-age children. The expected benefits are the proposer researchers can socialize the game of kinetic sand to teachers and guardians of students in elementary school so that after this study ends, the game of kinetic sand can be applied to students or children of primary school age. The plan of this activity will begin with 1) collecting academic data, distributing questionnaires to student guardians, 2) data analysis, 3) testing using kinetic sand games, 4) discussing the results of the trial. The output that will be carried out are scientific publications in accredited national journals or non-accredited national journals.