In the 1970s bedbug infestation was thought to have disappeared, but since the 2000s, the appearance of bedbugs has been reported worldwide. Studies on bed bugs were carried out in several residential locations in Palangka Raya. This study aims to determine the existence of bed bugs in residential areas and the biological aspects of bed bugs. Survey and collection of bedbugs are carried out in densely populated areas. The results of the study showed that out of 20 houses observed, there were 2 houses that were identified with the presence of bed bugs. The only species of bed bug found is the, Cimex lecturarius. Bed bug infestation is observed in the beds. This shows that there is a potential for bed bugs to cause itching on the skin and allergic reactions in the occupants of the house. The population of bed bugs has the opportunity to spread to other residents' settlements.

The author conducted this research based on the low literacy and numeracy abilities of students. This research activity was attended by grade 6 students, where this activity aims to be able to improve literacy and numeracy skills for students. In this study, the author used a qualitative research method by observing the actions of a person directly and then describing them in detail so that readers could understand them. This research activity has three stages, namely the first stage is planning an activity to be carried out, the second stage is the implementation process to observe grade 6 students, and the third stage is the evaluation and conclusion stage. Based on the research results, it was found that students will tend to have literacy skills if they continue to practice literacy and learn numeracy. In addition, if the learning process is carried out by learning while playing so that these students can develop a strong sense of enthusiasm in learning literacy and numeracy.

Bleeding disorders outside the menstrual cycle are reproductive system disorders commonly experienced by women during their reproductive years. These disorders are characterized by changes in menstrual periods, including alterations in cycle length, duration of menstruation, or volume of bleeding, with a worldwide prevalence ranging from 3% to 30%. Hormonal factors are often implicated as causes of bleeding disorders outside the menstrual cycle. Preliminary findings from a study conducted at RSIA Puri revealed that three female patients seeking treatment experienced bleeding disorders outside the menstrual cycle, with two of them exhibiting low estrogen levels (below 20 pg/ml) upon examination. The purpose of this study was to analyze the relationship between hormone levels, particularly estrogen, and bleeding outside the menstrual cycle in women of childbearing age at RSIA Puri Malang. The research employed a quantitative analysis through a cross-sectional approach. Primary and secondary data were obtained from laboratory examinations of estrogen levels in blood serum on the third day of menstruation. The sample consisted of 34 mothers who met the criteria of experiencing menstrual disorders and visited RSIA Puri Malang, and who willingly participated as respondents, selected through quota sampling. Data analysis was conducted using the Chi-square test, and the results revealed a significant relationship between estrogen levels and bleeding outside the menstrual cycle, or metrorrhagia (p-value = 0.018; OR = 0.107). This suggests that estrogen hormone regulation plays a crucial role in preventing menstrual irregularities. In conclusion, maintaining optimal estrogen hormone levels is essential for preventing and managing menstrual irregularities and bleeding disorders outside the menstrual cycle.    

The concept of Smart Village or smart village is a process of adjustment and development experienced by people in rural areas so that they can generate benefits and balance between information technology and villagers so that they can solve problems in the area by using the potential of existing resources that are owned intelligently. Three important elements in a Smart Village that influence one another consist of smart government, smart environment and smart economy. Wancimekar Village in Karawang Regency is seen as one of the villages that is still going through developments towards a smart village, where the obstacle factors will be reviewed through the three elements of the Smart Village concept. This study intends to understand how big the development process of Wancimekar Village is towards a Smart Village. The method used is qualitative narrative with data collection techniques carried out through interviews, direct observation and documentation by related parties and conducting literature studies. The results of this study indicate that the village of Wancimekar is ready to move towards the smart village concept because it is supported by adequate resources. In the aspect of digitizing village services, this is already in the digital development stage, namely by establishing an official digital service page, although it is still in the development stage.

Today's technology has penetrated everywhere, even today humans cannot live without technology. For example, information technology is needed by the community in communicating, for example. Not inferior to other fields, the government also uses technology in work and service systems called e-government. The concept of e-government adheres to the concept of e-governance, the aspects that exist in this governance are reflected in e-government. This study uses a qualitative descriptive type with data analysis by Miles and Huberman. This research was conducted in the Village of Karawang Kulon. Based on the results of e-government research, Karawang Kulon Village has not used e-government at all. manuals. So that the Karawang Kulon Village has not been able to prepare e-government because there has been no order from West Karawang District.

Background: Pregnancy is a natural process, but if you do not receive proper care during pregnancy it can cause morbidity and even death in the mother. In Indonesia, the maternal mortality rate is still quite high and still below the SDGs (Sustainable Development Goals) targets. The causes of maternal death can be reduced and can be prevented through quality care, one of which is early detection of complications during pregnancy. Apart from that, pregnant women must also know about the danger signs of pregnancy by making maximum use of the KIA Book which contains information about Maternal and Child Health. If the mother knows about the danger signs within herself, the pregnant woman will be more aware of her condition.

With the exponential growth of social media platforms, vast amounts of data are generated daily, capturing public opinions, sentiments, and trends in real time. Automatic sentiment analysis using Natural Language Processing (NLP) has emerged as an essential tool to process this data, helping industries, researchers, and policymakers understand social sentiment more effectively. This study explores various NLP techniques for sentiment analysis, including machine learning-based, lexicon-based, and deep learning models. By examining advancements in NLP algorithms and challenges related to language diversity, slang, and context in social media data, this paper highlights the strengths and limitations of current methodologies and discusses potential future directions.

This study aims to determine the learning motivation of students using the inquiry learning model in class VIII B Muhammadiyah Middle School Waipare. This research was conducted from 20 March to 02 April 2023. The data sources in this study consisted of primary and secondary data. The primary data is the homeroom teacher, science teacher and class VIII B students, while the secondary data was obtained using documentation. The method used is descriptive qualitative. Data collection was obtained through observation, interviews, questionnaires and documentation. From the six indicators of motivation to learn, the following results are obtained, 1) indicators of desire and desire were successfully categorized as good with a percentage of 87,96%, 2) indicators of encouragement and need to learn are categorized as sufficient with a percentage of 75,25%, 3) indicators of hopes and aspirations are categorized as good with a percentage of 93,24%, 4) indicators of appreciation in learning are categorized as good with percentage of 90,27%, 5) indicators of a conducive learning environment are categorized as good with a percentage of 90,27%, 6) there are interesting activities categorized as good with a percentage of 78,57%. So, it can be concluded that the learning  motivation of student using the inquiry learning model is categorized as good.

Exclusive breastfeeding for infants 0-6 months in Bekasi Regency in 2021 was 72.59%. The results of preliminary studies based on the results of interviews, there has been no handling of increasing breast milk volume production with the marmet technique. The purpose of UNU's research is to determine the effect of marmet technique on breast milk production in postpartum mothers at TPMB R, Cibitung in 2023. Pre-experimental research method, one group pretest posttest. The population amounted to 30 postpartum mothers with a research sample of 30 respondents, with total sampling. Research instrument observation sheet of breast milk volume. Univariate analysis and bivariate analysis with Wilcoxon test. The results of the study found that postpartum maternal milk production before marmet technique intervention was given, milk production with less category as much as 73.3%, while after marmet technique intervention milk production with less category as much as 40%. Wilcoxon test results obtained p-values of 0.002 < ? 0.05. The conclusion of this study is that there is an effect of giving marmet techniques on postpartum mother's milk production.

Lontar Usada Taru Pramana adalah manuskrip yang merupakan kearifan lokal Bali yang berisi mengenai pengobatan tradisional dengan tumbuhan herbal serta telah dikaji secara ilmiah. Tumbuhan herbal umumnya dikenali dari daunnya. Namun, pengenalan tumbuhan herbal menjadi sulit karena minimnya pengetahuan mengenai jenis tumbuhan herbal dan kemiripan morfologi daunnya. Penelitian ini menggunakan dataset citra daun tumbuhan herbal bernama TPHerbleaf yang digunakan untuk mengklasifikasikan jenis daun tumbuhan herbal berdasarkan Lontar Usada Taru Pramana. Dataset ini terdiri dari 50 kelas jenis daun tumbuhan herbal. Penelitian ini menggunakan tiga arsitektur Convolutional Neural Network sebagai perbandingan untuk klasifikasi, yaitu MobileNet, Inception ResNet V2, dan EfficientNet B2. Model dengan hasil terbaik adalah MobileNet dengan learning rate 0,0001 dan dropout 20%. Model ini menghasilkan akurasi 100% untuk proses training, 79% untuk validation, dan 82% untuk testing. Hasil penelitian ini menunjukkan bahwa teknologi modern dapat digunakan untuk meningkatkan pemahaman dan pelestarian warisan budaya melalui penerapan praktik dalam bidang klasifikasi citra.