The Inaportnet system is an internet-based single service information system with the aim of integrating standard port information systems in ship services from all relevant agencies or stakeholders in the port environment. The purpose of this portal development is to accelerate port clearance. The research was conducted at PT. The Indonesian National Shipping (PELNI) Makassar Branch for 1 month from November 2021 to December 2021. The source of the data obtained is qualitative data, namely the data presented in the form of related information and the quality of the object under study. Results Based on the research, the use of the Inaportnet system at PT. Pelayaran Nasional Indonesia (PELNI) Makassar Branch Inaportnet system The process of submitting a ship service application using the Inaportnet system is very easy to use, and the Inaportnet system also encourages the submission of ship service applications. Constraints and alternative solutions in using the Inaportnet Maintenance system, to overcome this problem the submission of ship services is changed to a manual system so that the service submission process continues. HR, to overcome this problem, you must carefully check the ship's documents before the ship arrives at the port. Comparison before and before the application of the Inaportnet system in submitting ship services, before the application of the Inaportnet system agents still visited the relevant agencies (manual system), after the implementation of the Inaportnet system all made the system online.

Expanding extensive and intricate social networks has required sophisticated community detection techniques. This study presents an innovative hybrid methodology that utilizes node space similarity and local knowledge to enhance community identification. Node space similarity is defined by integrating eigenvector centrality (EC), which quantifies a node’s influence inside the network, with proximity metrics, such as closeness, to evaluate the connectivity between nodes. This enables us to identify cohorts of individuals with analogous influence and connectivity. We use local knowledge by concentrating on these pivotal nodes' direct connections and attributes, allowing the technique to broaden community discovery (CD) outward effectively. Our five-phase methodology, grounded in an iterative seed expansion algorithm, commences with identifying highly central nodes and progressively develops communities by integrating nodes exhibiting high similarity and local connectivity. The method incorporates graph statistical inference and embedding features to improve accuracy and capture extensive network patterns. This integrated approach facilitates the precise and effective identification of communities within extensive social networks, exceeding the constraints of conventional techniques. This research attained a modularity of 95.05% on the DBLP dataset and 94.50% on the Amazon dataset. This study achieved a Normalized Mutual Information (NMI) of 91.80% on the DBLP dataset, 92.50% on the Amazon dataset, and 90.43% on the football dataset, demonstrating superior performance relative to previous methodologies. The findings indicate that the hybrid method outperforms other recognized methods in large-scale graphs, showcasing notable robustness and efficiency.

Shallots (Allium ascalonicum) are a popular spice vegetable cultivated in Indonesia, ranging from lowlands to highlands. Their demand continues to grow as they are an essential kitchen commodity, although their prices often fluctuate. This research aimed to examine the disease symptoms in shallot plants caused by pathogenic fungi and to identify the types of pathogenic fungi present on agricultural land in Bangsalan Village, Boyolali Regency. The study consisted of three blocks, each containing 12 plots, and each plot comprising 15 plants. From each plot, five plants were randomly selected as samples. This qualitative research utilized observational and descriptive methods, where symptoms observed in the field were described and identified based on macroscopic and microscopic characteristics. Macroscopic identification revealed symptoms such as wilting, rot, and spots on both leaves and tubers. Microscopic identification confirmed infections by the fungi Colletotrichum sp. (causing anthracnose), Fusarium spp., and Aspergillus sp. on shallots. The findings from this study provide valuable recommendations for managing shallot diseases in subsequent planting seasons if similar symptoms are observed.

This study aims to examine the influence of sexual stigma on suicidal ideation in early adult lesbian, gay, bisexual, and transgender (LGBT) individuals aged 18-29 in Indonesia. Suicidal ideation is a global mental health issue frequently experienced by LGBT individuals due to discrimination and stigma. The study employed a quantitative survey design, involving 120 LGBT early adult participants selected through purposive sampling. The research instruments included an adapted version of the Sexual Stigma Scale to measure sexual stigma and the Adult Suicidal Ideation Questionnaire (ASIQ) to measure suicidal ideation. Data analysis utilized linear regression to assess the influence of sexual stigma on suicidal ideation. The results revealed a significant positive relationship between sexual stigma and suicidal ideation, with a Pearson correlation coefficient of 0.414 (moderate category) and a significance value of 0.000 (p < 0.01). Sexual stigma contributed 17.1% to suicidal ideation, indicating a significant influence while acknowledging the presence of other influencing factors. These findings emphasize that higher sexual stigma is associated with an increased risk of suicidal ideation in LGBT individuals..
 
 

This research aims to analyze the awareness of Medan State University and Medan Area University (UMA) students as citizens in understanding social rights and responsibilities regarding the use of dangerous chemicals in cigarettes. The background to this research is based on the increasing consumption of cigarettes among students and its impact on health and the environment. The method used in this research is a qualitative approach with data collection techniques through interviews and observation. Interviews were conducted with students from various departments at both universities to explore their knowledge and attitudes regarding chemicals in cigarettes. Apart from that, observations were carried out in the campus environment to see cigarette consumption behavior among students. The research results show that students' awareness of their rights to obtain accurate information about the dangers of smoking and their social responsibility to educate their friends is still low. Therefore, more effective educational programs are needed to increase students' understanding of this issue and encourage proactive action in protecting themselves and the environment from the negative impacts of smoking.

Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strategy for SCD based on Grey Wolf optimization (GWO) methodologies and CNN. The proposed methodology has four stages: preprocessing, segmentation, feature extraction, and classification. The proposed method utilizes a Convolutional Neural Network (CNN) to extract features from Regions of Interest (ROIs). CNN is employed for feature categorization, whereas the GWO approach enhances accuracy by refining edge detection and segmentation. This technique utilizes a probabilistic model to accelerate the convergence of the GWO algorithm. Employing the GWO model to optimize the structure and weight vectors of CNNs can enhance diagnostic accuracy by a minimum of 5%, based on evaluation outcomes. The application of the proposed strategy and its performance comparison with other methods indicate that the proposed method with GWO predicted SC with an average accuracy of 95.11% and without GWO an Accuracy of 92.66%, respectively, enhancing accuracy by a minimum of 2.5% when we train our model with GWO.

Interpersonal communication plays a crucial role in building trust, collective identity, and a positive organizational culture. In organizations, trust serves as the primary foundation for creating a productive work environment, while collective identity and organizational culture shape internal direction and stability. This study aims to analyze the role of interpersonal communication in supporting these three elements. The research adopts a literature review method by examining various sources, including books, scholarly journals, and other relevant documents. The findings reveal that open, transparent, and effective interpersonal communication strengthens mutual trust, facilitates the formation of collective identity through social interactions, and fosters a harmonious organizational culture. Furthermore, interpersonal communication proves to be key in resolving conflicts constructively. This study highlights the importance of effective communication strategies to enhance interpersonal relationships within organizations and achieve shared goals.
 

This study highlights the integration of character education through affective and psychomotor values within a curriculum. The integration aims to develop not only intellectual skills but also moral and ethical behaviors among students. Key challenges include inadequate teacher training and limited resources for evaluation. On the other hand, government support and technological advances present significant opportunities. The research employed a qualitative descriptive method, focusing on elementary and secondary schools in Indonesia. Findings suggest that collaboration between schools, families, and governments is essential. Furthermore, the use of digital tools can significantly enhance character education. Implications of the study point towards adaptive curricula and enhanced teacher training programs to overcome the challenges of integration.

Software testing is a crucial stage in the development of information systems to ensure that applications can function according to user needs. System feasibility testing using UAT is intended to ensure that the system meets the functional requirements specified by the users. This study aims to apply UAT to a financial and inventory management information system used to manage various operational needs of the company, such as inventory recording, expense and income reporting, and employee wages. The UAT process is conducted by the system’s end-users, consisting of 16 respondents, including employees and the owner of CV. Nitah Tirta Makassar. The testing methodology includes several stages: UAT planning, preparing test questions through a Google Forms (gforms) questionnaire, conducting the tests, and analyzing the test result calculations. The results of this study indicate that the financial and inventory management information system meets user needs, based on UAT questionnaire score calculations that achieved an average interpretation score above 87% with a "very good" rating. With the implementation of UAT, it can be concluded that the financial and inventory management information system meets the users' requirements.

Education is the right of all citizens, regardless of origin, economic situation or physical condition. In the national education system, according to Law Number 20 of 2003, comprehensive education is guaranteed without any discrimination in any form. This is the importance of applying inclusive education in Madrasah Ibtidaiyah without exception. This article aims to describe creative learning strategies in inclusive education, especially at the basic level that not only emphasize motor skills but also the ability to interact with the social environment. This article uses a literature review method (Literature Review) by collecting data and sources related to a particular topic which is obtained from various sources such as journals, research reports, books (to e-books) and other library sources. The results showed that the creative learning strategies carried out by teachers can increase the use of goals, learning materials, media, methods, assessments, and learning environment by students. Learning strategies that can be applied to basic ABK students include remedial, deductive, inductive, heuristic, explanatory teaching strategies, classical, collaborative, and behavior changes