This study investigates the resilience strategies of rice farmers in Manyaran District, Wonogiri Regency, in adapting to agricultural challenges and diversifying into the horticultural sector. The research is grounded in resilience and adaptation in agricultural systems, emphasizing crop diversification as a strategy to sustain farmer livelihoods amidst environmental and economic pressures. In May and June 2024, the study utilized surveys, observations, structured interviews, and a literature review to collect data. 42 rice-farming households across seven villages in Manyaran District were selected through simple random sampling. The sample comprised middle-aged farmers aged 40–50, With an average age of 45 years, as younger populations often migrate to urban areas, leaving agriculture dominated by this demographic. Descriptive data analysis using simple tabulation was employed to illustrate the conditions of the studied area. The findings reveal that farmers in Manyaran District exhibit strong learning capacities, which enhance their resilience. They adapted by transforming rice fields into horticultural areas and experimenting with various horticultural commodities. Technological flexibility, including the use of social media for acquiring and sharing horticultural knowledge, played a crucial role in their adaptation. Information exchange among farmers further contributed to the sustainability of their livelihoods.  This research highlights the importance of crop diversification as a strategy for farmers to adapt to shifting environmental and economic conditions. The results underscore the adaptability and resilience of Manyaran farmers in sustaining agricultural practices despite ongoing challenges, offering insights for broader agricultural adaptation strategies.

Micro, Small and Medium Enterprises (MSMEs) are the supporting sector of the country's economy and are able to survive in any conditions, including when the economic crisis hits. MSME business development is very necessary so that performance can always be improved and business continuity can be maintained. The results of a preliminary survey on MSMEs in Semarang City show that the average financial performance of MSMEs is still fluctuating (up and down). Based on phenomena and research gaps (developing) research by adding financial literacy variables. The object of this research was carried out on MSMEs in Semarang City with a final sample size of 144 using the cluster random sampling method (per sub-district). The analysis tool uses a regression equation test with a mediation test using the Sobel test. The research results show that the variables fintech, financial literacy, financial inclusion of MSMEs and MSME performance in Semarang City have sufficient values ??in the interval 2.33 to 3.65, with MSME performance with the highest average. The fintech and financial literacy variables have been proven to have a positive and significant effect on the financial inclusion of MSMEs in Semarang City. Fintech, financial literacy and financial inclusion of MSMEs have proven to influence the performance of MSMEs in Semarang City. MSME financial inclusion has been proven to mediate the influence of financial literacy on MSME performance in Semarang City, however, financial inclusion has not been proven to mediate the influence of fintech on MSME performance.

Energy audit is a technique used to obtain the efficiency of a building with a certain method. Continuous research implementation is expected to be able to identify electrical efficiency and the purpose of data analysis is to obtain electrical energy efficiency to calculate the Energy Consumption Intensity (IKE) value in the building. Energy audits can also be carried out at any time or according to a predetermined schedule. Regular monitoring of energy usage is a must to find out the amount of energy used in each part of the operation during a certain period of time. Thus, savings efforts can be made.

Image classification is widely used in everyday life such as in car steering, closed-circuit television (CCTV), traffic cameras, etc. The implementation of image classification can be done using several methods, including neural network and support vector machine models. The neural network method is able to find the right weights that allow the network to show the desired behaviour while the support vector machine method has many dimensions and can overcome linear and non-linear data. In this research, feature extraction was carried out using VGG16 to increase accuracy. This research aims to find out how to implement the neural network and SVM algorithms to classify images and determine the results of analyzing the performance of the two methods. The data used in this study is secondary data consisting of 10 types of large wild cats with a total of 2339 training image datasets and 50 testing image datasets. The research stages consist of data augmentation, model design, model training, and model evaluation. Classification with the neural network model produced an accuracy of 96% and the support vector machine model produced an accuracy of 96%, which means that in a consistent training environment, the two models have the same performance.

This community service program aims to raise awareness and understanding of anti-corruption values among elementary school students through interactive education. The activities were carried out in August, involving students, teachers, and parents as the target community. The method used was Participatory Action Research (PAR), with stages including observation, focus group discussions (FGD), teacher training, and program evaluation. The results showed a significant increase in students' understanding of honesty and integrity values. Additionally, the program successfully initiated a new institution, the "Honesty Group," which acts as a supervisor of honesty within the school. This program provides tangible contributions to shaping young generations committed to anti-corruption values from an early age.

This study analyzes the implications of the establishment of Natuna Regency on accelerating development in the archipelagic region. Using a qualitative approach with literature review, the research evaluates the impact of the division on public services, natural resource management, and infrastructure development. The findings indicate that the establishment of Natuna Regency, enacted through Law Number 53 of 1999, has shortened administrative control spans and improved governance effectiveness. Moreover, the acceleration of development in the maritime, energy, and tourism sectors has significantly contributed to local economic growth. However, challenges such as limited human resources and infrastructure in remote areas remain obstacles. This study recommends optimizing local potential and enhancing community participation in development as strategic steps toward equitable development outcomes.

The phenomenon of non-communicable diseases not only affects adults but is also beginning to threaten the adolescent age group. Research shows that adolescents often do not realize that behaviors they consider normal, such as consuming sugary drinks, spending hours in front of screens, and lack of exercise, significantly contribute to the risk of NCDs later in life. This community service activity will be conducted using methods including a pre-test, lecture, group discussion, and post-test. Before the activity begins, a pre-test will be administered to the participants to assess their initial knowledge about preventing non-communicable diseases in adolescents. Following that, the lecture method will be used to educate the adolescents about the prevention of non-communicable diseases, such as hypertension, diabetes mellitus, and cholesterol, as well as their risk factors. After the lecture, a group discussion and Q&A session between the presenter and the participants will be conducted. A post-test will be administered again one week later to assess the effectiveness of the education. A significant result of this activity is the increase in students' knowledge regarding the prevention of NCDs.

Association is the process of changing meaning as a result of similar characteristics. The meaning contained in a word will sometimes experience a change in meaning/shift in meaning when the word is combined with other words. This research aims to find out the words that have association meaning in Yudhiswara's poetry collection Rain Escapes in Sela Jari. The research method in this study is descriptive qualitative. The theory used in this research is the theory of semantic studies on changes in meaning. The data in this research is in the form of words, phrases/idioms that have associations and the data source in this research is a collection of poems Hujan Lolos di Sela Jari by Yudhiswara.  The data collection technique in this research uses reading and note-taking technique. The data analysis technique in this research is classifying the data including metaphorical meaning changes, analyzing the data and making conclusions. The results of this study indicate that the poem Rain Escapes in Sela Jari is in the form of compound words that contain associations of meaning, the association of meaning tells about love and tells about nature. This shows that in the poem that has been analyzed, the poet uses many words, phrases/idioms to express the feelings experienced by the reader. The reader is also carried away when reading a poem that tells about love that is hindered by time, circumstances, and places.

This article identifies and describes "The Backward Flow Analysis In the Short Stories of Women, Broken Hearts of Whom Re-Had discovered the Quantitative Love Through Dreams of Eka Kurniawan, the purpose of this research paragraph is to provide information and describe the back dreams contained in this research method. The short story collection is Ginc This Red, Darling, Broken Heart Women Again Finding Love through Dreams, Making Happy A Elephant, Stone Story, Every Dog Can Be Happy, Burning Fire, and keep Parrot Lessons