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Alifi Restu Putera
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jams@stieganesha.ac.id
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Jl Legoso Raya No 31 Kelurahan Pisangan, Kecamatan Ciputat Tmur Kota Tangerang Selatan
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Journal Of Applied Multidisciplinary Studies (JAMS)
Published by Sekolah Tinggi Ilmu Ekonomi Ganesha
ISSN : -     EISSN : 30895707     DOI : -
Core Subject : Religion, Humanities, Science, Education,
Religion Humanities Computer Science & IT Education Energy
Journal Of Applied Multidisciplinary Studies (JAMS) an electronic international journal, provides a forum for publishing the original research articles, review articles from contributors, and the novel technology news related to management, accounting and economic. Published twice every November and May by STIE Ganesha Jakarta. This journal encompasses original research articles, review articles, and short communications, including: Management and Business, Entrepreneurship, MSMEs (Micro, Small, and Medium Enterprises), Accounting, Finance, Economics, Public Policy, Technology and Information Systems, Tourism, Culture, Environment, Education, Human Resource Development, Health, Social Sciences, Politics, Culture, Religion, Ethics, Agriculture, Arts, Humanities, and all disciplines of science.
Arjuna Subject : Umum - Umum
Articles 15 Documents
 1   2 
OPTIMIZATION OF EXERCISE THERAPY TO INCREASE THORACIC CAGE EXPANSION IN TUBERCULOUS MENINGITIS CASES Dinda Dwi Anggari; Isna Rahma Septiana; Enitha Gamganora; Amalga Tri Gusta Nanda; Arshy Prodyanatasari; Whida Rahmawati; Pamungkas, Ahmad Akbar
Journal Of Applied Multidisiplinary Studies Vol 2 No 1 (2025): November 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

Tuberculous meningitis (TBM) is the most severe form of tuberculosis, causing significant neurological impairment and respiratory complications in children. The novelty of this research (a) lies in demonstrating the application of a simple, practical physiotherapy protocol within a resource-limited healthcare setting. The objective of this study (b) is to report the effectiveness of this physiotherapy intervention for a 9-year-old boy with TBM. The methods employed (c) included a series of interventions over three sessions, comprising positioning to optimize ventilation and prevent pressure sores, passive breathing exercises to support lung capacity, and passive mobilization to maintain joint range of motion and control spasticity. Evaluation was based on thoracic expansion measurements, the Glasgow Coma Scale (GCS), and spasticity assessment. The empirical results (d) indicated notable clinical improvements, including increased thoracic expansion, enhanced level of consciousness, and stabilized spasticity. The study's implications (e) confirm that a consistent regimen of straightforward physiotherapy techniques can significantly support the recovery process of pediatric TBM patients, offering a viable and accessible supportive care model for hospitals with constrained resources.
Transformational Virtual Leadership and Marketing Team Performance in the E-Commerce Sector: An Integrated Review Aisha, Neila; Saefullah, Aep; Putri, Amelia Meisyah
Journal Of Applied Multidisiplinary Studies Vol 1 No 2 (2025): Mei 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

The rapid advancement of digital technology has transformed leadership dynamics within e-commerce organizations operating under virtual work systems. This study aims to explore the impact of virtual transformational leadership on the performance of marketing teams using a descriptive qualitative approach. Conducted over three months (February–April 2025), the research involved direct observation and in-depth interviews with marketing teams from three digital companies. The analysis identified five dominant aspects—idealized influence, inspirational motivation, intellectual stimulation, individualized consideration, and active digital communication—that significantly enhance team creativity, collaboration, motivation, and loyalty. These findings reaffirm the relevance of transformational leadership theory in remote work settings and highlight the importance of developing digitally competent and empathetic leaders capable of sustaining engagement and productivity in virtual environments. The study concludes that responsive, human-centered leadership is essential for achieving sustainable success in the evolving e-commerce industry
ENHANCING STUDENT COMPETITIVENESS THROUGH PROFESSIONAL CERTIFICATION: A CASE STUDY AT STIE GANESHA herawati, tuti
Journal Of Applied Multidisiplinary Studies Vol 1 No 2 (2025): Mei 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

This study addresses the critical gap between academic preparation and industry requirements by examining the implementation of competency assessment and professional certification at STIE Ganesha. The research aims to analyze how these systems enhance graduate competitiveness within the ASEAN Economic Community framework. Using a qualitative descriptive approach, the study engaged 100 students and 10 assessors through in-depth interviews, participatory observation, and documentation analysis of managerial competency schemes. Empirical results demonstrate that 91.3% of participants showed significant improvement in self-confidence post-certification, while 78.2% reported substantial career advancement. The certification program effectively equips graduates with both academic credentials and BNSP-certified competency recognition. These findings imply that higher education institutions should strengthen industry-aligned certification programs and develop strategic partnerships with professional bodies. The study provides practical insights for optimizing certification frameworks to bridge the academia-industry divide and enhance graduate employability in competitive job markets
SWOT Analysis for Enhancing the Competitiveness of STIE Ganesha South Tangerang as a Higher Education Institution Zainuddin , Zulkifli; Mulasih , Siti; Aisha , Neila; Ramayanti, Putri Noor
Journal Of Applied Multidisiplinary Studies Vol 1 No 2 (2025): Mei 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

This study addresses a critical gap in strategic management literature by focusing on private higher education competitiveness in Indonesia's evolving academic landscape. The research aims to analyze STIE Ganesha South Tangerang's strategic positioning and identify key factors influencing its competitive development. Utilizing a mixed-methods approach, the study incorporated in-depth interviews, documentation analysis, and questionnaires with 29 participants, following Miles & Huberman's analytical framework through IFAS, EFAS, and SWOT matrices. Empirical findings demonstrate the institution's strong competitive advantages in faculty expertise, accreditation status, and industry-aligned curricula, while revealing significant challenges in marketing effectiveness and infrastructure development. External analysis identified digital transformation and governmental policies as pivotal opportunities, alongside intensifying competition and regulatory changes as major threats. The study's implications suggest implementing aggressive growth strategies emphasizing human capital development, digital integration, and strategic industry partnerships to enhance institutional positioning. These findings provide a actionable framework for private higher education institutions seeking to navigate competitive challenges while maintaining educational quality and market relevance
Neuromorphic Computing Model Based on Spiking Neural Network for an Efficient and Resilient Tsunami Early Warning System in Indonesia’s Small Islands Jayaun, Jayaun; Jayaun
Journal Of Applied Multidisiplinary Studies Vol 1 No 2 (2025): Mei 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

This study aims to develop a fault-tolerant neuromorphic computing system for tsunami early detection in Indonesia’s small islands, which face significant limitations in energy and network infrastructure. The research was conducted over a three-month period (January–March 2025) using a simulated experimental approach with ocean wave data obtained from BMKG and NOAA. The system model was designed using a Spiking Neural Network (SNN) that mimics biological neuron activity to adaptively recognize ocean wave anomaly patterns. Simulation results show a detection accuracy rate of 94%, maintaining stable performance above 85% even under 25% signal interference. Furthermore, the system’s power consumption was recorded at only 0.42 watts—approximately 40–60% more efficient than conventional CNN-based models. The implications of this study include scientific contributions to the development of adaptive and energy-efficient artificial intelligence, as well as practical benefits for agencies such as BMKG and BNPB in designing autonomous and resilient tsunami early warning systems for remote and underdeveloped regions. In the future, this system has the potential to serve as a prototype for edge computing–based disaster mitigation solutions powered by artificial intelligence, particularly relevant for archipelagic nations.

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