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Effective communication is essential for teamwork effectiveness in healthcare, particularly in inpatient units where patient care requires coordination among multiple professionals. Internal data from Hospital X showed that more than 50% of medical incidents in the last two years were related to miscommunication among healthcare workers. In addition, the 2024 employee satisfaction survey reported that workplace communication satisfaction was only 62%, below the hospital target of 75%. This study aimed to examine the influence of effective communication on teamwork effectiveness with interprofessional collaboration as an intervening variable at Hospital X.This study used a quantitative cross-sectional design involving 226 healthcare workers, including doctors, nurses, and medical support staff. Data were analyzed using the Three-Box Method and PLS-SEM. The findings revealed that effective communication significantly influenced teamwork effectiveness both directly and indirectly through interprofessional collaboration. Interprofessional collaboration also acted as a significant mediating variable between communication and teamwork effectiveness. These results indicate that communication is a key foundation for strengthening collaboration and improving teamwork in hospitals. Therefore, hospitals should enhance communication training and interprofessional collaboration programs to improve healthcare quality and patient safety

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.

Patient-Centered Care (PCC) is a healthcare approach that places the patient at the center of every interaction and clinical decision-making. However, a preliminary study at Tarumajaya Hospital showed that 58% of healthcare workers had not yet optimally implemented the PCC approach. This study aimed to analyze the influence of self-efficacy and social support on the implementation of Patient-Centered Care, with safety culture as a mediating variable, at Tarumajaya Hospital. The research method used was quantitative analytic with a cross-sectional design. The study sample used a saturated sampling technique of 132 healthcare workers, consisting of doctors, nurses, and medical support staff. Data analysis used Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results showed that self-efficacy and social support had a positive and significant effect on safety culture and PCC implementation. Safety culture also had a positive and significant effect on PCC implementation. Furthermore, safety culture was shown to mediate the influence of self-efficacy and social support on PCC implementation. The coefficient of determination value indicates that the model has strong ability to explain variations in PCC.

The Port Clearance Certificate (PCC / SPB) is a mandatory state document issued by the Harbor Master (Syahbandar) as proof of the ship's seaworthiness and the fulfillment of all administrative obligations before leaving the port. In the clearance process for foreign-flagged vessels, the role of the shipping agent is crucial as the representative of the ship owner to coordinate all required permits and documents with various related government agencies (Harbor Master's Office/KSOP, Customs, Quarantine, and Immigration). PT. Dalian Putra Maritim Belawan Branch utilizes an integrated digital system (Inapornet) to manage ship agency services for both incoming and outgoing vessels. This study aims to comprehensively analyze and describe the role and effectiveness of the ship agent, PT. Dalian Putra Maritim Belawan Branch, in expediting the process of issuing the Port Clearance for foreign ships at the Harbor Master and Port Authority Office (KSOP) in Belawan. This research employs a qualitative-descriptive method supported by: 1) Library Research to collect theoretical data and regulations; and 2) Field Research, which involves direct observation of Standard Operating Procedures (SOPs) and the collection of accurate data within the Belawan Port environment. The research results indicate that the ship agent plays a central and vital role in the entire Port Clearance issuance process. The success of issuing the Port Clearance is heavily dependent on the speed, accuracy, and efficiency of the coordination carried out by the agent, ensuring that the vessel meets all safety, security, and maritime environmental protection requirements before being permitted to sail.

Background: Maternal Mortality Rate (MMR) in Indonesia remains a significant health challenge, with the majority of deaths related to preventable pregnancy complications. Empowering pregnant women through increased knowledge and skills in early detection is a key strategy to encourage timely care seeking. Objective: To review and analyze policies and implementation of programs empowering pregnant women in early detection of complications in Indonesia over the past five years (2020–2025), including policy frameworks, implementation models, research findings related to impacts and barriers, and policy recommendations. Methods: A scoping review using the Population-Concept-Context (PCC) approach was conducted. The literature search included scientific publications, national policy documents, and program reports published between 2020–2025. Relevant works included quasi-experimental studies, program reports, and policy documents. Main results: Maternal empowerment programs are driven by national policies to improve maternal health literacy and reduce MMR. Implementation is often integrated into Pregnant Women's Classes (KIH) or through digital media. Educational interventions have shown significant improvements in maternal knowledge of danger signs, but challenges include the low quality and availability of educational materials, as well as issues with outreach to mothers in remote areas. Conclusion: Empowering pregnant women in early detection is an important policy initiative to reduce maternal mortality. However, standardization of the curriculum, strengthening the role of cadres, and increased digital support are needed to ensure equitable reach and effectiveness.

Stabilisasi tanah merupakan upaya memperbaiki tanah dalam keadaan tertentu sehingga didapatkan karakteristik tanah yang diinginkan dengan menambah zat aditif untuk meningkatkan kekuatan tanah. Tujuan penelitian ini untuk mengetahui sifat fisis dan mekanis tanah asli, mengetahui pengaruh bahan stabilisasi tambahan terhadap tanah, dan perbandingan pada campuran optimal. Penelitian ini menggunakan bahan semen PCC dan semen instan. Metode yang digunakan dalam penelitian ini yaitu pengujian laboratorium dengan uji kuat tekan bebas (UCT) dengan masing masing bahan aditif menggunakan komposisi campuran 0%,4%,8% dan 12%. Berdasarkan pengujian sifat fisis tanah asli memperoleh nilai berat jenis rata rata 2,595, (γb) 1,637 gr/cm³, dan termasuk jenis tanah lempung organik dengan plastisitas sedang sampai tinggi (OH). Berdasarkan sifat mekanis diperoleh dengan uji UCT tanah asli memiliki nilai kuat tekan bebas 0,677 kg/cm2 dengan Cu yaitu 0,338 kg/cm2. Untuk kuat tekan bebas tanah asli dan semen PCC paling tinggi didapat 1,776 kg/cm2 pada komposisi bahan stabilisasi semen PCC sebesar 8%, dan kuat tekan tanah asli dan semen instan paling tinggi didapat sebesar 1,967 kg/cm2 pada campuran semen instan 8%. Berdasarkan penelitian dapat disimpukan bahan paling optimal yaitu semen instan dengan komposisi campuran 8%. Perbandingan kuat tekan bebas dari tanah asli dibandingkan dengan semen PCC dan semen instan yaitu 0,677; 1,776;1,967.

Objective: This scoping literature review is intended to identify factors that influence Psychological well-being and see the gap synthesis of previous studies. Introduction: Students as the next generation of the nation often face various challenges, both in academic, social, and personal fields. These challenges can affect their psychological well-being, which is an important aspect in supporting the success of studies and life as a whole. Methods and analysis: This study uses 5 main stages, namely the stage of identifying questions, identifying relevant studies, selecting study results, data extraction, data synthesis. Specifically using the PCC framework and paying attention to inclusion and exclusion criteria so that the final results are obtained. Results: The results found from the data selection found a total of 8,401 articles from 1 database and duplication was done twice (in the first check using Rayyan.ai the second work during data selection with Rayyan.ai n = 807 After duplication of data selection based on inclusion exclusion criteria, 63 relevant articles were found. After manual re-detection, the final results were 13 articles that were most relevant to the research topic.    

Indonesia is an area rich in sea sand. The aim of this research is to determine the comparison of the compressive strength of mortar derived from sea sand and river sand, as well as the feasibility of using sea sand as a material in construction in coastal areas. The results of the research showed that the compressive strength of the mortar from the two materials tested at 28 days had a difference in compressive strength of up to 37.45%, the mortar made from sea sand aggregate produced a mortar compressive strength of 14.13 Mpa which can be categorized as type S mortar with minimum value 12.5 MPa, meanwhile, mortar made from fine river sand aggregate produces a mortar compressive strength of 22.59 MPa and is included in the type M mortar category which has a minimum value of 17.2 Mpa.  

According to PUSAKOM in 2022, the prevalence of poisoning in Indonesia in 2021 was 5,921 cases, which is the total number of cases from various categories of causes of poisoning. It was found that 998 cases (17%) were cases of drug and food poisoning, and the other 4,923 cases (83%) were not cases of drug and food poisoning. Poisoning is a condition where psychoactive substances enter which cause disturbances in consciousness, cognition, perception, effects, behavior, function and psychophysiological responses. The Poison Control Center (PCC) was established to assist in the prevention, diagnosis and management of toxicity cases. PCC contributes to various sectors, including education in the field of toxicology and public education, public health by reducing the number of poisoning cases, to the economy by producing a high cost-benefit ratio. However, PCC has not yet been formed in Indonesia. Therefore, there is a need to study the impact of the Poison Control Center and its potential when implemented in Indonesia. The analysis was carried out using article and literature review methods. The results obtained from the review show that the Poison Control Center has enormous potential when implemented in Indonesia from an economic, educational, and health perspective.

Patient-focused services or commonly called Patient Centered Care (PCC) have become the main focus in providing health care today. The PCC concept was first introduced by Picker in 1988 through the Picker Institute Europe in England. Regional General Hospital (RSUD) Dr. M Haulussy Ambon is a hospital that has been accredited and is required to be able to implement PCC in its services. Purpose this study was to determine the ability of nurses to apply PCC at RSUD dr. M. Haulussy Ambon. The research design used is descriptive quantitative using observational. The population in this study were nurses at RSUD Dr. M Haulussy Ambon as many as 302 nurses. The number of samples is 113 respondents. data collection techniques using a questionnaire. Results: Most of the nurses' ability to apply PCC showed good results but there were still a number of PCC dimensions that had sufficient results. The PCC dimensions that get good results are respecting patient choices and assessments, physical comfort, information and education, service coordination, and involving family and friends. It can be concluded that most nurses are capable of implementing PCC.