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International Journal of Scientific and Professional
Published by Yayasan Rumah Ilmu Profesor
ISSN : -     EISSN : 28292618     DOI : 10.56988/chiprof
Core Subject : Health, Education,
Health Professions Medicine & Pharmacology Nursing Public Health Other
The International Journal of Scientific and professional (IJ-ChiProf) published by Yayasan Rumah Ilmu Professor (Real Prof Foundation) is a widely indexed, open access peer reviewed multidisciplinary international scholarly quarterly February, May, August, and November journal and helping researches to share their research information. The Jurnal Ilmiah dan Profesional Internasional (IJ-ChiProf) is published and provided for academics and practitioners in applying is an international peer-reviewed journal that publishes research focused on patients, families, and communities.
Arjuna Subject : Umum - Umum
Articles 115 Documents
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Standards for Storytelling-Based Nursing Communication to Reduce Hospitalization Anxiety in Preschool Children: A Systematic Review Suraya, Citra; Wisuda, Aris Citra; Sansuwito, Tukimin bin; Dioso, Regidor III; Rusmarita
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.84

Abstract

Hospitalization often triggers significant anxiety in preschool children due to their developmental vulnerability, separation from caregivers, and exposure to unfamiliar medical environments. If left unaddressed, this anxiety can result in both short- and long-term psychological and behavioral issues. Storytelling-based nursing communication has emerged as a promising intervention to help children understand and cope with hospitalization; however, standardized approaches remain limited. This study aims to identify and synthesize existing evidence on the standards of storytelling-based nursing communication for reducing hospitalization-related anxiety in preschool children. Using a descriptive analytical approach, a systematic search was conducted across PubMed, Scopus, ScienceDirect, and CINAHL for peer-reviewed studies published between 2020 and 2025. Eligible studies included nurse-led storytelling interventions targeting hospitalized preschoolers. Both qualitative and quantitative research was reviewed and critically appraised. The review identified fourteen relevant studies. Storytelling interventions were consistently effective in reducing anxiety, particularly when implemented using standardized methods such as structured narratives, visual aids (e.g., puppets, books, digital media), therapeutic play, and nurse communication training. These approaches enhanced emotional expression, improved nurse-child interaction, and fostered more positive hospital experiences. In conclusion, standardized storytelling-based nursing communication is an effective strategy for alleviating anxiety in hospitalized preschool children. Its broader implementation in pediatric nursing practice requires further research, training, and policy development.
Implementation of the Greedy Algorithm in Phrase Pattern Matching for a Text Recognition System Amelia, Risky; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.85

Abstract

The Greedy pattern-matching algorithm is a phrase pattern-matching method that works by selecting the optimal solution at each step without backtracking. This approach is applied in text recognition systems for keyword search, natural language processing, and automatic text filters. This research analyzes the performance of the algorithm through computational experiments and literature review by evaluating the efficiency of execution time, number of character comparisons, and matching success rate. The results show that the algorithm offers high speed in pattern matching, especially on large datasets, as it is able to optimally shift the search index. However, its accuracy decreases when handling complex patterns or phrases that have many similarities. By combining this algorithm with heuristics or data preprocessing techniques, its drawbacks can be minimized, thus remaining an effective solution in text recognition systems that require fast and real-time processing.
Optimizing Sprint Planning in Agile Methodology Using Greedy Algorithm Dwi Aprian Widodo; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.86

Abstract

Sprint planning is a pivotal process in Agile-based software development, where project success heavily depends on the team's ability to select and deliver the most valuable tasks within limited time and resources. A core challenge in this process is determining the optimal set of tasks that can be completed in a sprint, considering the constraints imposed by story point capacity. This decision-making problem closely resembles the classic Knapsack Problem in combinatorial optimization. This paper investigates the implementation of the Greedy algorithm as a heuristic approach to solve this problem by selecting tasks based on their value-to-story-point ratio. The Greedy strategy simplifies task selection by making locally optimal decisions at each step, thereby enabling efficient prioritization of high-value tasks without exceeding the sprint limit. A comparative experiment using real-world data was conducted to evaluate the effectiveness of the Greedy method against manual selection. The results demonstrate that the Greedy algorithm not only utilizes story point capacity more efficiently but also maximizes the total value of tasks included within the sprint. In some scenarios, it even achieved higher priority scores while consuming fewer story points. These findings affirm the practicality of Greedy-based optimization in Agile environments, particularly for rapid and scalable sprint planning. Future work may explore hybrid models or more advanced algorithms such as Dynamic Programming for enhanced optimization outcomes.
Implementation of YOLO Algorithm in Adolescent Suicide Ideation Monitoring System Based on Real-Time Data Analysis Yunike; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 1 (2025): December 2024 - February 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i1.87

Abstract

This study aims to develop and implement a suicide ideation monitoring system in adolescents based on the YOLO (You Only Look Once) algorithm with real-time data analysis. The YOLO algorithm is used to detect facial expressions that reflect negative emotions, such as sadness and anxiety, which can be early indicators of suicidal ideation. The research methods used are qualitative and quantitative approaches, including the collection of facial image data, model training using the TensorFlow and OpenCV frameworks, and testing the system's performance in detecting facial expressions in real time. The system test is carried out by comparing the results of YOLO detection against reference data to measure the accuracy and speed of detection. The results of the study show that the developed system is able to detect facial expressions with an accuracy rate of 92% and an average detection speed of 30 milliseconds per frame. In addition, the system can be integrated with communication platforms to provide warning notifications to related parties as a form of early intervention. Thus, this study proves that the YOLO algorithm is effective in developing a suicide ideation monitoring system based on real-time data analysis so that it can be a preventive solution in supporting adolescent mental health.
Implementation of the Backtracking Algorithm for Bandwidth Management in the Network of SMA Negeri 1 Belitang Hafizena, M. Fachri; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.88

Abstract

Internet has become an essential necessity in the field of education, particularly in supporting the teaching and learning processes in schools. Effective bandwidth management ensures efficient and equitable network usage for all users. This study implements the Backtracking algorithm as a solution for bandwidth management at SMA Negeri 1 Belitang. The algorithm is utilized to optimize bandwidth allocation based on usage priority and the dynamic number of users. The results indicate that this method can enhance bandwidth utilization efficiency, reduce delays, and improve the quality of service (QoS). Therefore, the Backtracking algorithm can serve as an alternative solution for achieving optimal network management in schools.
Flood Fill and Scanline Fill Algorithm Optimization to Improve Design and Animation Application Performance Sholahuddin, Fakhri; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.89

Abstract

Flood and Scanline Fill algorithms are two primary methods in the color-filling process in design and animation applications. However, limitations in computational efficiency often cause long rendering times, especially for high-resolution images and complex areas. This study aims to optimize both algorithms by implementing parallel processing using multi-threading technology and GPU-based processing. This implementation is expected to improve color filling performance compared to conventional methods significantly. Testing was carried out by comparing the execution time of the algorithm before and after optimization in various usage scenarios. The results showed that the parallel processing technique accelerated the color-filling process by up to 60% under certain conditions. Thus, this approach improves the efficiency of design and animation applications, especially in real-time rendering.
Dynamics of Self-Compassion in Individuals with Childhood Sexual Abuse (CSA) Rochmawati, Dewi; Winta, Mulya Virgonita I.; Shinta, Margaretha Maria
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.90

Abstract

This study aims to understand how the process of self-compassion is formed in individuals who experienced childhood sexual abuse trauma by emphasizing the aspects of subjective experience and the psychological meaning attached. This research method uses a descriptive phenomenological approach involving three adult respondents with a history of such experiences. Data were collected through in-depth interviews and analyzed through the stages of phenomenological reduction, identification of meaning units, transformation of meaning into psychological expressions, and synthesis of essential structures. The results of the study indicate that self-compassion develops gradually through the process of emotional reflection, spiritual awareness, and social support. Three main dimensions of self-compassion, self-kindness, common humanity, and mindfulness were identified in the respondents' recovery process. Self-compassion functions as a trauma recovery mechanism that helps respondents reconstruct their self-narrative from victims to whole and empowered individuals. These findings indicate the urgency of developing self-compassion-based psychological interventions for survivors of childhood trauma.
Utilization of Fibonacci Algorithm to Determine Product Bundling Discounts in Culinary Business Aziman, M. Fauzan; Sutabri, Tata
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.91

Abstract

Micro, small, and medium-scale culinary businesses (MSMEs) often face challenges in determining product bundling discount strategies due to limitations in data analysis. This study examines the effectiveness of implementing the Fibonacci algorithm in determining food product bundling discounts to increase sales and profitability. The method used is a quantitative experiment with an algorithm simulation approach, where discounts are determined based on the Fibonacci number sequence (1%, 2%, 3%, 5%, 8%, etc.). Data were obtained from the Lumpia Beef Lumer culinary MSME in Bekasi Regency and analyzed using Python, while the results were visualized in a soft Excel document. A comparison graph of the number of sales and income before and after the application of discounts was compiled in Excel based on daily transaction data. The results show an increase in sales volume of 60% and gross income of 60% after this strategy was implemented. The tiered discount strategy based on Fibonacci has proven attractive to customers, encouraging bundling purchases without significantly reducing profit margins. This approach offers a systematic and adaptive data-driven solution and can be used by other MSMEs to develop more effective and sustainable marketing strategies.
Empowering Families in Pediatric Tuberculosis Treatment: Enhancing Adherence through Education and Support Agustin, Ismar; Azwaldi; Noviani, Inka; Febriani, Leha; Wulansari, Novia
International Journal Scientific and Professional Vol. 4 No. 1 (2025): December 2024 - February 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i1.92

Abstract

This research evaluates the effectiveness of a family empowerment program in improving medication adherence among children undergoing treatment for pulmonary tuberculosis (TB) in Desa Pangkalan Benteng, Indonesia. The study integrates qualitative and quantitative methods to assess the impact of a training program to increase family knowledge about TB and its treatment regimen. The results demonstrate a significant improvement in family knowledge and children's adherence to their treatment schedule after receiving education on medication management, side effect handling, and emotional support. The findings emphasize the critical role of family involvement in ensuring that children complete their treatment regimens and suggest that comprehensive family education programs can enhance treatment outcomes. The study highlights the potential of family-centered interventions in pediatric TB care and provides recommendations for expanding such programs to other chronic diseases.
Implementation Strategies for the Indonesian 3S Nursing Framework (SDKI, SIKI, and SLKI) in Clinical Practice: A Scoping Review Wisuda, Aris Citra; Suraya, Citra; Oxyandi, Miming
International Journal Scientific and Professional Vol. 4 No. 2 (2025): March-May 2025
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v4i2.93

Abstract

The Indonesian 3S Nursing Framework—comprising the Nursing Diagnosis (SDKI), Nursing Interventions (SIKI), and Nursing Outcomes (SLKI)—was developed to standardize nursing care and enhance patient safety. Despite its formal adoption, implementation across Indonesian clinical settings remains inconsistent. This scoping review aims to identify and map strategies for implementing the 3S Framework in clinical nursing practice. Following PRISMA-ScR guidelines, a systematic search was conducted across Garuda, CINAHL, ScienceDirect, and Google Scholar for articles published between 2020 to 2025. From 1,356 articles, 12 met the inclusion criteria. Seven key strategies were identified: structured training programs, case study discussions, mentoring, use of standardized instruments, observational learning, innovative methods (e.g., simulation, role-play), and institutional support through policy and system integration. These approaches improved nurses' knowledge, skills, documentation accuracy, and patient safety. Challenges included institutional variability, limited monitoring, and unfamiliarity with the 3S components. Comprehensive strategies integrating education, mentorship, innovation, and institutional support are essential for effective implementation. Future efforts should focus on developing national guidelines, evaluation tools, and sustainable training models to support widespread adoption.

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