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Menampilkan 1–9 dari 9 artikel
Ekosistem Bisnis Digital: Analisis Faktor Kesuksesan UMKM Generasi Z di Indonesia
DHARMA EKONOMI
(2026)
Digital transformation has reshaped the landscape of MSMEs in Indonesia, particularly those managed by Generation Z. This study aims to analyze key success factors of Generation Z MSMEs in building sustainable digital business ecosystems. The research employs a systematic literature review methodology by analyzing various academic sources, industry reports, and related publications from 2019-2024. Findings reveal five primary success factors: adaptive digital technology adoption, high digital li...
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ArchEvolve: A Collaborative and Interactive Search-Based Framework with Preference Learning for Optimizing Software Architectures
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus a...
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Optimization of the XG-Boost Algorithm for Predicting Stroke Patient Care Outcomes
Lestari, Puji
; Universitas Amikom Purwokerto
; Tahyudin, Imam
; (Scopus ID: 56764427700, Universitas Amikom Purwokerto)
; Tikaningsih, Ades
; Universitas Amikom Purwokerto
; Nurhopipah, Ade
; Universitas Amikom Purwokerto
Telematika
Vol 18
, No 1
(2025)
Stroke is a critical health issue in Indonesia, contributing to high mortality rates. At Banyumas District Hospital, stroke is the fourth most common condition, presenting significant challenges in both clinical care and financial management. The purpose of this study is to enhance the quality of services and optimize treatment costs for stroke patients by developing a predictive model using the XGBoost algorithm. This study employs the XGBoost algorithm to develop predictive models, which are t...
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Prospects and Legal Challenges Regarding Intellectual Property Rights in Metaverse Operations in Nigeria
Aidonojie, Paul Atagamen
; Eregbuonye, Obieshi
; Ibeh, Success
; Antai, Godswill Owoche
; Kolawale, Adesoji Adebayo
Wacana Hukum
Vol 30
, No 2
(2024)
The Metaverse concept is regarded as a virtual reality where the lines between imagination and reality interact and blend with ease. However, the Metaverse concept tends to seem promising not just a digital revolution but an entire universe of immersive encounters. However, despite the relevance and potential, there are challenges and potential conflicts arising from integrating Metaverse technologies with the traditional legal frameworks governing intellectual property in Nigeria. Concerning th...
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The Meritorious Learning Rewards Promoted by Chat GPT in Academic Writing Classroom Contexts
Educalingua Journal
Vol 2
, No 2
(2024)
One of the most conspicuous and serious hindrances oftentimes confronted in these presently-situated academic writing learning dynamics is the constant presence of an emotionally-exhausting and anxiety-inducing learning environment in which EFL learners experience the absence of writing enjoyment. To better lessen this debilitating hurdle, second language educators are highly recommended to start activating the proper usage of artificial intelligence platforms in their regular academic writing l...
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Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients
Tikaningsih, Ades
; Universitas Amikom Purwokerto
; Lestari, Puji
; Universitas Amikom Purwokerto
; Nurhopipah, Ade
; Universitas Amikom Purwokerto
; Tahyudin, Imam
; (Scopus ID: 56764427700, Universitas Amikom Purwokerto)
; Winarto, Eko
; RSUD Banyumas Polyclinic Neural
; Hassa, Nazwan
; RSUD Banyumas Polyclinic Neural
Telematika
Vol 17
, No 1
(2024)
Cardiovascular disease (CVD) stands as the foremost contributor to worldwide mortality, with strokes as part of significant CVD. Research on potential mortality risks and hospitalizations for stroke patients became crucial as a basis for evaluation to improve the quality and control of stroke patient services. Although machine learning technology has been widely used in health data analysis, understanding the relative performance and characteristics of machine learning (ML) models is still limit...
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THE INVESTIGATION OF THE ROLE OF TRANSFORMATIONAL LEADERSHIP AND SELF-EFFICACY ON JOB PERFORMANCE EMPLOYEES: EMPIRICAL STUDY
Fokus Ekonomi : Jurnal Ilmiah Ekonomi
Vol 18
, No 2
(2023)
Companies most likely give a great deal of attention to workers' performance, as they should be doing. Employees need to be taken into consideration since they are highly crucial to building productivity and profitability, which, in turn, may have repercussions for the success of a business. However, these results will only occur with excellent performance from employees. This research was conducted to know whether self-efficacy and transformational leadership partially or simultaneously affect...
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Peningkatan Produktivitas Lansia Di Panti Wreda Widhi Asih Surakarta Melalui Sekar Panik (Senam, Karya, Pangan, Hidroponik) Berbasis Active Ageing
vadesma, iwanda
; Rajagukguk, Aranssa Dwiveronikca
; Aprilia, Nadia
; Setiawan, Irvan
; Setyomurti, Mikha Anggitama
; Rahadhini, Marjam Desma
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 7
, No 2
(2023)
Elderly people are those who have reached the age of 60 years or more who need activities to avoid experiencing dementia, the elderly have socio-psychological problems related to stress, loneliness and mental problems. So the PKM-PM team at Slamet Riyadi University, Surakarta, provided an activity to make the elderly productive through skills activities at the Widhi Asih Nursing Home, Surakarta. The methods applied in this activity include: (1) providing information related to the skills activit...
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“Social Integration Empowerment”: Upaya Memperkuat Industrialisasi Bandeng Di Kota Semarang
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 2
, No 3
(2023)
Social integration is a unitary condition of living together from various socio-cultural system units, ethnic groups and communities to interact and work together. Social integration as a reflection of the quality of this relationship, if applied to business actors, will increase the value chain for their business. So that the purpose of implementing this program is to create superior milkfish products through the creation of "Social Integration Empowerment" for business groups in Semarang City...
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