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Palm oil is one of the main commodities in Indonesia which has an important role in the agribusiness sector. An efficient palm oil harvesting process greatly determines the productivity and quality of the harvest. PT BKI SSB, as a company operating in the palm oil sector, continues to strive to improve operational efficiency and ensure optimal harvest quality. One way to achieve this is by implementing machine learning technology in the harvesting activity monitoring system. This article discusses the application of machine learning to monitor and analyze oil palm harvesting activities at PT BKI SSB. Through the use of this technology, it is hoped that it can increase accuracy, efficiency, and provide better data-based solutions in managing company resources.

Social media has become an integral part of the modern era, characterized by the use of the internet in daily life, with one of the most popular platforms being Instagram. Currently, the rise of Instagram content about beauty, known as beauty vlogs, has captured the attention of women, encouraging them to enhance their appearance. Abel Cantika is one of the beauty vloggers in Indonesia who consistently shares posts in the form of make-up tutorials, beauty product reviews, tips and tricks, and so on. The content presented by beauty vloggers, including Abel Cantika, certainly has an influence on changing behaviors and perspectives, as women often want to look stunning at all times. Therefore, it is not surprising that cosmetics can be seen as an essential means to enhance one's appearance. This research aims to determine whether the content of beauty vlogger Abel Cantika on Instagram has an influence on the imitation behavior of Inter Studi female students and to what extent this influence exists. The method used in this research is a survey method with a descriptive quantitative approach. Using simple linear regression analysis techniques. The population in this study consists of female students of Communication Science at STIKOM Inter Studi from the class of 2020 to 2022, with a sample size of 50 respondents. Data analysis techniques using SPSS 26.0. The research results indicate a positive and significant influence of media exposure on brand image, with a moderate effect size.

In an increasingly connected digital era, companies are faced with great challenges in managing crisis communication to maintain their reputation when facing emergency situations. This research aims to analyze effective crisis communication strategies in maintaining the company's reputation, focusing on the application of the theory of “Situational Crisis Communication Theory” (SCCT) and “Integrated Crisis Mapping” (ICM). The research method used is a qualitative approach through case studies on companies in Indonesia that have faced a reputation crisis. The results show that rapid response, use of social media, and transparency are crucial components in an effective crisis communication strategy. Companies that apply the SCCT approach, taking into account the type of crisis and the appropriate response, prove to be better able to reduce negative impacts and strengthen a positive image in the eyes of the public. In addition, ICM helps companies customize their communication strategies based on audience emotions, such as fear or anger, thus increasing the level of public trust during a crisis. In conclusion, a structured and adaptive crisis communication strategy can help companies maintain and even improve their reputation in emergency situations.

Student attendance monitoring is a crucial aspect in education to ensure that students are present in classes and to minimize the potential for fraud. In this study, we developed an Internet of Things (IoT) system to monitor student attendance on campus using two main technologies: facial recognition and Radio Frequency Identification (RFID). The system utilizes RFID technology to identify students through RFID cards issued to each student, as well as facial recognition sensors for additional verification to enhance accuracy and security. This system is designed to provide convenience, security, and efficiency in the attendance process on campus.

Dengue fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. This disease is a major health problem in many tropical countries, including Indonesia. Identification and classification of DHF patients is very important to prevent further spread and to provide appropriate medical treatment. In this study, the classification of DHF disease is carried out using the K-Means algorithm, which is one of the methods in machine learning used to classify data based on similarity of features. This study aims to apply the K-Means algorithm in classifying DHF cases based on data on symptoms that appear in patients, such as high fever, joint pain, skin rashes, and others. The data used includes patient medical records that record various clinical and demographic parameters. The K-Means algorithm is used to group the data into clusters that describe the severity category or potential risk of dengue disease. The results showed that the K-Means algorithm can be used to cluster DHF patients well, with the division of groups that can describe the severity of the disease. Evaluation was conducted using metrics such as silhouette and cluster validity to assess the effectiveness of the algorithm in performing classification. This model is expected to help medical personnel in decision-making, provide early warning, and improve rapid response to dengue cases.

Palembang Religious Education and Training Center as an education and training institution utilizes information technology, especially wifi internet networks to support various learning and training activities. To support these needs, a quality internet network is needed, so an evaluation and measurement of Quality of Service (QoS) is needed, because QoS is able to measure various important parameters in the network, such as throughput, delay, jitter, and packet loss, all of which play an important role in ensuring the network functions properly.  The standard used is TIPHON. By using the Action Research method, this research will produce real internet quality data in accordance with actual conditions. After testing, the average results on the 4 parameters tested obtained an index value of 3. So that the overall quality of the internet network at the Palembang Religious Education and Training Center has good network quality.

The purpose of this research is to create a JST (artificial neural network) model that can forecast population growth at the Population and Civil Registration Office of West Sumba Regency. population growth at the Population and Civil Registration Office of West Sumba Regency. Regency. Regional development planning must consider the increasing number of population, therefore proper forecasting is essential to encourage sustainable policies and initiatives. sustainable policies and initiatives. Because it can identify complex patterns in past data and produce more accurate forecasts than traditional techniques, an ANN model is used. traditional techniques, the ANN model is used. The data used in this study is the population growth of Southwest Sumba Regency over the past including characteristics such as birth and death rates and population movements. deaths and population movements. The backpropagation algorithm is used to optimize the multilayer perceptron (MLP) architecture for ANN training. Separating the data into training and testing sets and assessing the models model using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) based on the error. Error (RMSE) based on the prediction error are the steps involved in the training process. involved in the training process. The research findings show that, with a low level of error, the artificial neural network model can estimate the population increase in Southwest Sumba Regency with a reasonable level of accuracy. reasonable level of accuracy. The model is expected to serve as a reference for relevant authorities to better manage population data and as a tool to create more focused and successful population policies.

This research aims to analyze the use of ethnomathematics-based learning media in improving students' understanding in elementary schools. Using the Systematic Literature Review (SLR) method, this research identifies, evaluates and synthesizes relevant research results on related topics. The literature selection process was carried out systematically through searches in various accredited scientific journal databases, using certain keywords related to ethnomathematics, learning media, and basic education. The research results show that ethnomathematics-based learning media is effective in increasing students' understanding of mathematical concepts through a contextual approach that utilizes local culture as a learning aid. This approach not only increases mathematical understanding, but also strengthens the link between mathematics learning and local wisdom. This research also reveals the importance of innovative learning media that suit regional cultural characteristics and student needs.

In the world of education, teachers have a very large and important role in teaching and learning activities because teachers are educators who are directly in contact with students, so teachers are required to have good performance in order to teach students who also have good quality. One of the educational problems faced by the Indonesian nation is the quality of education at every level and education unit, especially elementary and secondary education. Various efforts have been made to improve the quality of education, including through various training and improving teacher qualifications, procuring books and teaching tools, improving facilities and infrastructure, and improving the quality of school management. The research method used in this study is quantitative through path analysis and SITOREM analysis. The results of this study are that there is a positive relationship between the independent variable and the dependent variable when viewed from the path analysis, then the relationship is a functional relationship where teacher performance (Y) is formed as a result of the functioning of organizational culture functions (X1), transformational leadership (X2), self-efficacy (X3) work motivation (X4)

Law enforcement against perpetrators of sexual intercourse committed by children is a complex issue that requires a balance between aspects of justice, protection, and rehabilitation. Children as perpetrators of criminal acts are in a unique position because of their status as legally and psychologically immature individuals. This study aims to analyze the law enforcement process against children involved in sexual intercourse, including the application of sanctions that are in line with the principles of restorative justice and the protection of children's rights. The research method used is normative juridical with a legal approach and case studies. The results of the study show that the juvenile criminal justice system in Indonesia refers to Law Number 11 of 2012 concerning the Juvenile Criminal Justice System, which emphasizes a diversion approach and non-criminal efforts in resolving children's cases. However, there are obstacles in implementation due to limited resources, understanding of law enforcement, and social stigma attached to child perpetrators. This study recommends increasing training for law enforcement, strengthening psychological assistance mechanisms, and developing comprehensive rehabilitation programs. Thus, law enforcement against children who commit sexual intercourse crimes must consider the balance between strict law enforcement and the protection of children's rights, so that the goals of social reintegration and rehabilitation can be achieved optimally.

This research aims to understand and analyze Article 73 of Government Regulation No. 11 of 2021 on Village-Owned Enterprises (BUM Desa) with a focus on the transformation of Community Revolving Funds (DBM) from the former PNPM MPd into BUM Desa bersama LKD). The research discusses the use of DBM assets from the former PNPM MPd as capital in the formation of BUM Desa bersama LKD, as mandated by Article 73 of Government Regulation No. 11 of 2021 on Village-Owned Enterprises. This regulation is in accordance with the mandate of Law No. 6 of 2023 on the Enactment of Government Regulation in Lieu of Law No. 2 of 2022 on Job Creation as a Law and Law No. 3 of 2024 on the Second Amendment to Law No. 6 of 2014 on Villages. The data collection technique used in this research is documentation with an analytical matrix instrument. This study employs a normative juridical legal research method, as the title indicates a juridical review. The research concludes that the management of DBM from the former PNPM MPd must transform into BUM Desa bersama LKD to provide a legal foundation and certainty for DBM activities, ensure the preservation of communal assets in one sub-district, and utilize DBM assets from the former PNPM MPd as capital in the establishment of BUM Desa bersama LKD. The issuance of Government Regulation No. 11 of 2021 on BUM Desa is seen as the government's responsibility in overseeing the management of DBM from the former PNPM MPd as part of poverty alleviation efforts.

Pancasila as a state ideology plays a fundamental role in the development of Indonesian democracy, but its implementation faces various challenges in the contemporary era. This research aims to deeply analyze the strategic role of Pancasila in building and strengthening the democratic system in Indonesia, focusing on the dynamics of its implementation, challenges, and strengthening strategies. Using a literature review method with a qualitative-descriptive approach, this research analyzes various literature sources from 2019-2024 through systematic literature review (SLR) and critical discourse analysis (CDA). The results show that Pancasila plays an effective role as an instrument that bridges Indonesia’s diversity with universal democratic principles, as well as a filter in the adoption of global democratic values. Implementing Pancasila values in the context of democratization requires a comprehensive approach that includes strengthening leadership, revitalizing education, and adapting to digital transformation. This research contributes to the development of a strategy to strengthen Pancasila-based democracy that is adaptable to the times, but still rooted in the noble values of the Indonesian nation.

Technological developments have made it easier to access information from various places. Social media has become an inseparable part of every aspect of modern life, so it is necessary to have legal policies and guidelines in believing through social media. This study aims to find out a critical review of MUI fatwa policies in unravelling laws and guidelines for the use of social media. The research method used is normative legal research with a conceptual approach. The results of the study show that MUI Fatwa Number 24 of 2017 is the right response to ethical challenges that arise due to the use of social media. This fatwa provides clear guidance for Muslims on how to use social media ethically and by Islamic teachings. However, as a fatwa, this regulation does not have binding legal force, coercion and does not have legal sanctions whose settlement is through litigation or still based on laws and regulations, only functions as a moral guideline depending on individual awareness. Without stricter enforcement or appropriate legal regulations, the impact could be limited.

Indonesia is an agricultural country with great potential in the agricultural sector, both as a source of livelihood and as an economic driver. This sector has an important function in food security, improving farmers' welfare, and preserving the environment. Given Indonesia's regional diversity, it is important to develop policies that suit the agricultural characteristics of each region. This research uses the clustering method, a technique that groups data based on similar characteristics so that objects in one group (cluster) have high similarities, while between clusters they are different. This research applies the clustering method to group provinces in Indonesia based on agricultural sector factors in 2023, using hierarchical and non-hierarchical techniques. The results show that the optimum clusters obtained using both single linkage and K-Means formed five optimal clusters. The Java Island cluster shows high productivity, while Riau, East Kalimantan and North Kalimantan have quite high productivity with minimal labor. The largest clusters have a lot of unmanaged land, increasing employment opportunities. Significant variables influence grouping.

Child neglect is a form of emotional violence that can have a significant impact on a child's social and emotional development. Neglect, which is characterized by a lack of attention, affection and support from parents or primary caregivers, often hinders children's ability to build interpersonal relationships, manage emotions and form self-confidence. This impact is not only short-term but also affects the child's life in adulthood, including the risk of mental disorders such as anxiety and depression. This article aims to analyze the impact of neglect on children's social and emotional development and provide recommendations for preventive and intervention steps to support children's optimal growth and development.

As a state ideology, Pancasila encapsulates the religious and cultural principles held by the people of Indonesia. All aspects of national and state society can be accommodated by these values. It is the same with scientific endeavours. If Indonesia is serious about advancing its scientific and technological capabilities, it should look to the five tenets of Pancasila as a roadmap. With any luck, this paper will help spread the word about Pancasila and its importance in guiding Indonesia's scientific community towards better technological practices.  

This study aims to examine the role and implementation of Pancasila in three periods of government in Indonesia: Old Order, New Order, and Reformasi. Pancasila, as a state ideology, has undergone various changes in interpretation and application in accordance with the political and social dynamics that occur in each era. Under Soekarno's leadership in the Old Order, Pancasila was used as a unifying tool in the context of ideological pluralism, but faced internal and external challenges that threatened national stability. During the New Order period, Pancasila was used as a single principle used to strengthen political legitimacy, but it was often misused to silence criticism and opposition. The reforms brought greater political freedom and a more inclusive interpretation of Pancasila, but still faced challenges in overcoming radicalization, intolerance, and social disparities. This research concludes that although Pancasila remains relevant as the basis of the state, efforts are needed to actualize its values to suit the challenges of the times.

Harmonis adalah keselarasan atau keserasian. Harmoni dalam keberagaman menunjukan kondisi Masyarakat yang selaras dan serasi ditengah perbedaan. Lingkungan memegang peranan penting dalam menciptakan kerukunan. Lingkungan keluarga menjadi pembentuk karakter anak. Keluarga mengajarkan arti penting menjalin kerukunan orang lain. Harmoni penting dalam kehidupan Masyarakat yang beragam karena :menjaga persatuan dan solidaritas,menghindari konflik,menciptakan lingkungan yang damai dan Sejahtera. Masyarakat yang memiliki keberagaman diperlukan adanya harmoni agar tidak terjadi konflik. Konflik ini dapat memecah belah persatuan dan kesatuan bangsa. Adanya sikap toleransi dan saling menjaga kerukunan,membuat Masyarakat dapat hidup berdampingan walaupun ada perbedaan. Pencapaian harmoni social dalam Masyarakat yang hidup berkelompok seperti kita merupakan tantangan yang bisa diwujudkan melalui usaha Bersama.

Harmonis adalah keselarasan atau keserasian. Harmoni dalam keberagaman menunjukan kondisi Masyarakat yang selaras dan serasi ditengah perbedaan. Lingkungan memegang peranan penting dalam menciptakan kerukunan. Lingkungan keluarga menjadi pembentuk karakter anak. Keluarga mengajarkan arti penting menjalin kerukunan orang lain. Harmoni penting dalam kehidupan Masyarakat yang beragam karena :menjaga persatuan dan solidaritas,menghindari konflik,menciptakan lingkungan yang damai dan Sejahtera. Masyarakat yang memiliki keberagaman diperlukan adanya harmoni agar tidak terjadi konflik. Konflik ini dapat memecah belah persatuan dan kesatuan bangsa. Adanya sikap toleransi dan saling menjaga kerukunan,membuat Masyarakat dapat hidup berdampingan walaupun ada perbedaan. Pencapaian harmoni social dalam Masyarakat yang hidup berkelompok seperti kita merupakan tantangan yang bisa diwujudkan melalui usaha Bersama.

Digital literacy is an essential skill in the digital era, especially for the younger generation who are starting to actively engage in entrepreneurship through online platforms. However, students' understanding of online ethics and legal frameworks such as the Electronic Information and Transaction Law (UU ITE) is still limited. This community service activity aims to improve the digital literacy of Dian Andalas Padang High School students, with a focus on online ethics in law-based digital business. The methods used include interactive lectures, group discussions, and case simulations to provide a deep and applicative understanding. The results of this activity showed a significant increase in students' understanding of digital literacy and the implementation of the ITE Law. Case discussions and simulations help students identify common violations of the law in online businesses, such as fraud and the spread of false information, and understand how to prevent them. The positive response from students and teachers emphasized the importance of this activity in equipping the younger generation with ethical and law-abiding digital skills, while encouraging schools to integrate law-based digital literacy into the curriculum.