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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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Empowering Karang Taruna as an Agent of Change in Improving Mental Health of Adolescents in Rural Communities Jawiah; Khoirunnisa, Mirna; Jannah, Msy Miftahul; Prasetyo, Indah Ayu
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.v4i2.73

Abstract

Mental health issues among adolescents are becoming an increasingly significant issue, especially in rural areas such as Pangkalan Benteng Village. The lack of public understanding of this Issue and limited access to professional services are major challenges in efforts to improve the psychological well-being of adolescents. This community service program aims to empower Karang Taruna as agents of change in supporting adolescent mental health through training, mentoring, and educational activities. The implementation method includes identifying needs through surveys and FGDs, training Karang Taruna members on adolescent mental health and early intervention, establishing adolescent support groups, and implementing stress management workshops, awareness campaigns, and individual counselling sessions. The results of the activities showed a significant increase in the knowledge and concern of Karang Taruna members and adolescents about mental health, reduced stigma in the community, and the formation of a more supportive social environment. These findings indicate that empowering local communities such as Karang Taruna can be an effective strategy for addressing adolescent mental health issues and has the potential to be replicated in other villages in Indonesia.
Papaya Jelly Candy Transforming Cancer Patients' Lives with Delicious Flavor and Extraordinary Benefits Marlinda; Yona, Demandia; Zahirah, Naila; Larasati, Najwa Risha
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.v4i1.74

Abstract

Cancer is a disease with profound physical, emotional, and economic impacts. One of the common challenges faced by cancer patients is malnutrition due to the side effects of treatments like chemotherapy and radiotherapy. Reduced appetite, nausea, and digestive issues often impede the recovery process. To address this, this study aims to develop papaya-based jelly candies that not only offer a delightful taste but also provide essential nutritional benefits for cancer patients. Papaya, rich in vitamin C, antioxidants, and the enzyme papain, plays a vital role in boosting the immune system and improving digestion. In this study, laboratory experiments were conducted to create a jelly candy formula using natural ingredients that are both easy to consume and beneficial for cancer patients. A sensory test with 50 participants revealed that papaya jelly candy was well-received in terms of taste, texture, aroma, and packaging. 80% of respondents reported an increase in appetite after consuming the candy, and 45% experienced a boost in energy and stamina. Furthermore, the papaya gummies demonstrated positive effects on digestion and immune function, which are critical benefits for cancer patients. This study highlights the potential of papaya jelly candy as a healthy, practical, and enjoyable nutritional supplement for cancer patients. Moving forward, the development of this product is expected to support nutritional therapy for cancer patients and open new avenues for innovation in functional food products made from natural ingredients
Breaking the Chains of Stigma: Psychodrama and Kuda Lumping Unite to Empower Cancer Patients in Society Ananingsih, Esti Sri; Afrilia, Dian; Suryaningtyas, Winda; Khodijah, Salma
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.v4i1.75

Abstract

Cancer, a formidable and life-altering disease, often carries with it a heavy burden of stigma that devastates not only the physical well-being of patients but also their emotional and social lives. The deep-rooted fear and misconceptions about cancer lead to alienation, isolation, and an exacerbation of the patient’s suffering. This study embarks on an audacious journey to challenge this stigma by merging the therapeutic power of psychodrama with the rich cultural heritage of Kuda Lumping, a Javanese traditional performance symbolizing strength, resilience, and unity. Using a bold, participatory action research approach, this intervention weaves together the art of psychodrama with cultural rituals, inviting cancer patients, their families, and the broader community to engage in a profound collective experience. The result? A revolutionary shift in perception. Through powerful role-playing and symbolic acts, participants broke down barriers of fear, ignorance, and judgment. The Kuda Lumping dance became more than just a performance—it became a transformative ritual that empowered both patients and community members to confront and dismantle the stigma surrounding cancer. By the end of the intervention, 80% of participants reported a profound shift in their understanding of cancer, with 70% expressing newfound empathy and commitment to supporting those affected by the disease. This study underscores the transformative power of combining psychological therapy with cultural heritage, offering a powerful blueprint for future health interventions. It stands as a testament to the potential of psychodrama, enriched with local cultural elements, to heal and unite communities, and to finally break the chains of cancer stigma that have long bound society in silence and fear.
Empowering People with Mental Disorders through Mushroom Home Kits: A Social Entrepreneurship Approach for Economic Independence Cahyati Teguh Pancani, Peni; Hartono, Dudi; Putra Giandah, Satrio; Agustina, Sonia; Ikrami Dwi Putri, Rara
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.v4i1.77

Abstract

People with mental disorders (ODGJ) often face significant stigma and limited access to economic opportunities, hindering their journey toward independence. This community-based research introduces a novel entrepreneurial model: marketing mushroom home kits explicitly designed for ODGJ. The initiative combines therapy with practical skill development by enabling participants to cultivate oyster mushrooms at home using simple tools and guided instructions. Through participatory methods, including training, mentoring, and family involvement, the project demonstrates positive psychological impacts such as improved confidence and sense of responsibility alongside tangible economic benefits. Results indicate strong market potential for mushroom-based products and enthusiastic reception from families and local communities. Despite challenges like limited technical understanding and digital access, the program shows promise in reducing social stigma and fostering sustainable micro-businesses. This study highlights the value of inclusive, low-cost entrepreneurship models that integrate mental health rehabilitation with income-generating activities, offering a replicable framework for empowering vulnerable groups.
Enhancing Pediatric TB Treatment Compliance: Marketing Strategies for Medication Reminder Devices Putri, Prahardian; Mulyadi; Meliana; Khairunnisa; Yomi
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.v4i1.78

Abstract

This research focuses on developing a marketing strategy for a medication reminder device (Alarm Obat) to improve medication adherence among children with tuberculosis (TB) in Indonesia. Tuberculosis remains a significant public health challenge, especially in pediatric populations, where adherence to long-term treatment regimens is critical for successful outcomes. The study explores how Alarm Obat, a device designed to remind children to take their medication on time, can help increase adherence and reduce treatment failures. The research also highlights the potential for this product to be integrated into healthcare programs, focusing on partnerships with healthcare institutions and digital marketing strategies. By targeting families with children suffering from TB, the research aims to demonstrate the impact of Alarm Obat on improving health outcomes and reducing the risk of drug resistance. The study concludes by emphasizing the importance of awareness campaigns and collaborative efforts to ensure accessibility and adoption of the product across diverse communities in Indonesia.
Implementation of Greedy Algorithm for National Selection of New Students at MAN Insan Cendekia OKI Cipto Kurniawan; Tata Sutabri
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.v4i2.79

Abstract

The National Selection of New Learners at MAN Insan Cendekia OKI is a process of selecting the best students based on certain criteria. This selection process requires an efficient method to ensure that the selected participants have qualities that match the school's standards. The Greedy Algorithm is one approach that can be used to solve optimization problems such as learner selection. This algorithm works by taking locally optimal decisions at each stage in the hope of getting an overall optimal solution. This research aims to implement the Greedy algorithm in the Selection of New Learners process at MAN Insan Cendekia OKI. In its application, the Greedy algorithm will be used to select participants based on criteria such as academic scores, non-academic achievements, and other factors deemed relevant by the school. The results of this study show that the Greedy algorithm can be applied well in the selection of students and is able to improve the efficiency of the selection process. However, there are some limitations that need to be considered, especially in terms of dynamic selection criteria and the possibility of non-optimal solutions in certain cases. Thus, the Greedy algorithm provides an interesting alternative in solving selection problems while still considering further development so that the results obtained are more optimal.
Implementation of the Bayesian Network Algorithm to Predict Chronic Diseases Using Electronic Medical Record Data at UPTD RSD Besemah, Pagar Alam City Angga Putrawansyah; Tata Sutabri
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.v4i2.80

Abstract

Chronic diseases are one of the leading causes of death in Indonesia and around the world. Early detection of chronic diseases poses a significant challenge for healthcare facilities, particularly in resource-limited areas such as UPTD RSD Besemah, Pagar Alam City. This study aims to implement the Bayesian Network algorithm as a method for predicting chronic diseases based on patients' electronic medical record (EMR) data. The Bayesian Network method was chosen due to its ability to model causal relationships between variables and its robustness in handling incomplete data. The data used in this research consists of secondary data in the form of patient medical records, with attributes including age, gender, medical history, laboratory results, and lifestyle factors. The research process involves data collection, preprocessing, Bayesian network structure formation, and model performance evaluation using accuracy, precision, and recall metrics. The results indicate that the Bayesian Network model is capable of delivering high prediction accuracy for chronic diseases such as diabetes mellitus, hypertension, and heart disease. The implementation of this predictive system is expected to assist medical personnel in clinical decision-making and enhance the effectiveness of preventive healthcare services
Implementing Conditional Random Fields on English Text Grammar Analysis Ahmad, Fadhil; 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.v4i2.81

Abstract

This study explores the implementaion of the Conditional Random Fields (CRF) algorithm in the grammatical analysis of English texts, specifically in the task of Part of Speech (POS) tagging. CRF is a statistical model effective in classifying words into grammatical categories such as nouns, verbs, adjectives, and others. The research methodology includes a literature review and experimental implementation using labeled datasets, integrated into a web-based application. The implementation results demonstrate that the CRF model provides accurate tagging results and can be utilized for sentence structure analysis in English texts. The application is developed using the Python programming language, supported by the NLTK and sklearn-crfsuite libraries, and uses the Flask framework for the user interface. This research is expected to contribute to the development of technology-based tools for English language learning.
Implementation of the Backtracking Algorithm for Optimizing Work Shift Scheduling Ainna Khansa; 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.v4i2.82

Abstract

This research aims to implement the backtracking algorithm for optimizing shift scheduling at PLTU SSP. The study is motivated by the complexity of manual shift scheduling, which is prone to human error and struggles to accommodate various constraints such as employee availability, preferences, and operational needs. The backtracking algorithm was selected due to its ability to search systematically for optimal solutions that satisfy all constraints, based on Depth First Search (DFS). The research methodology includes requirements analysis, system design, algorithm implementation, testing, and results evaluation. The application of the backtracking algorithm produced schedules that accurately meet constraints and consider employee preferences. The results indicate that the backtracking algorithm can generate effective and efficient schedules. The implementation of the backtracking algorithm is expected to improve the quality of shift work management, positively impacting productivity, employee welfare, and the smooth operation of PLTU SSP.
Implementation of the Greedy Algorithm for Optimal Police Patrol Route Search in the Jurisdiction of Semendawai Suku III Police Sector Nandra Sari, Vingky; 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.v4i2.83

Abstract

Police patrols represent a strategic effort to maintain public security and order. However, determining an optimal patrol route remains a challenge, particularly in ensuring time and distance efficiency. This study aims to identify the optimal police patrol route in the jurisdiction of the Semendawai Suku III Police Sector using the Greedy algorithm. This method was selected for its ability to rapidly generate solutions by choosing the most favorable option at each step. The data utilized in this research include ten villages identified as high-risk areas based on the number of criminal reports recorded in 2024, as well as inter-village distances collected through regional mapping. The application of the algorithm resulted in a total patrol distance of 121.2 kilometers, following the sequence: Police Sector (A) → Sriwangi (B) → Kerujon (C) → Karang Endah (D) → Margorejo (E) → Taman Agung (F) → Taraman (H) → Kota Tanah (I) → Melati Jaya (J) → Nirwana (K) → Karang Marga (G) → returning to the Police Sector (A). This study contributes to data driven patrol strategy management, enhancing both the efficiency and effectiveness of police operations in maintaining regional security stability.

Page 7 of 12 | Total Record : 115

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