cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Agung Kristanto
Contact Email
agung.kristanto@ie.uad.ac.id
Phone
+6281802707630
Journal Mail Official
spektrum.industri@ie.uad.ac.id
Editorial Address
Universitas Ahmad Dahlan - Kampus 4 Ringroad Selatan, Tamanan, Banguntapan, Bantul, Special Region of Yogyakarta, Indonesia, 55166
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Spektrum Industri
Published by Universitas Ahmad Dahlan
ISSN : 16936590     EISSN : 24422630     DOI : https://doi.org/10.12928/si.vxix.xxx
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Spektrum Industri ISSN 1693-6590(print); ISSN 2442-2630(online) is a Journal that publish scientific articles in the science scope related to engineering and/or industrial management both research and theoretical. Literature review will be considered if it is written by an expert.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 73 Documents
 4   5   6   7   8 
Systematic Literature Review of Sustainable Assessment Model in Vocational Higher Education Suryani, Suryani; Umar Daihani, Dadan; Gustina Amran, Tiena Gustina Amran; Septiani, Winnie
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.459

Abstract

Indonesia prioritizes vocational education to achieve the Golden Indonesia 2045 vision by producing competent, work ready graduates. Despite strategic policies, vocational enrollment remains low relative to academic pathways, and sustainability focused assessment model for vocational higher education are scarce. Therefore, this study aims to map and critically analyze existing sustainability assessment model for vocational higher education using a PRISMA based Systematic Literature Review and bibliometric analysis with VOSviewer. A total of 8,035 records (2018–2024) were retrieved, and the 20 articles that met the inclusion criteria were analyzed for thematic coverage, methodological approach, and integration of sustainability dimensions. The results showed that although many assessment model integrate economic, social, and environmental dimensions partially, few comprehensively addressed work readiness, sustainability literacy, and socio environmental impacts in vocational contexts. Bibliometric mapping further shows a dominance of general higher education studies and an underrepresentation of vocational-specific investigation. This study proposed a contextualized conceptual framework consistent with the Triple Bottom Line (economic, social, environmental) and selected SDG targets characterized by vocational competencies and institutional assessment practices. The framework offers guidance for policymakers and vocational institutions to design assessment systems that improve graduate relevance and institutional sustainability. The study contributes a systematic scientific map and a foundation for empirical testing of the proposed model.
Analysis of Antecedent Factors Influencing the Adoption and Conversion of Two-Wheeled Battery Electric Vehicles (BEVs) in East Kalimantan Province Harits, Dimaz; Ismail Kurnia, Wahyu; Aji Wibowo, Nugroho
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.467

Abstract

The rise in motorcycle ownership in Indonesia has increased energy consumption and greenhouse gas emissions, challenging the country's net-zero target by 2060. To mitigate this, the government is promoting the adoption and conversion of two-wheeled Battery Electric Vehicles (BEVs), but implementation remains below target, implying behavioral factors as a major barrier. This study analyzes the determinants influencing consumer and potential consumer behavior in adopting two-wheeled BEVs in East Kalimantan, a strategic region supporting the Indonesian Capital City. Using the Field Theory framework, the model integrates the Theory of Planned Behavior (TPB), which represents personal factors (Attitude, Subjective Norm, Perceived Behavioral Control, and Intention), and the Electric Vehicle Ecosystem (EVE), which represents environmental factors (Performance, Infrastructure, Price, and Features). Data from 400 respondents were analyzed using SEM-PLS, which explained 65.8% of the variance in adoption intention. The results show that Subjective Norms, Perceived Behavioral Control, Performance, Price, and Features significantly influence intention, while Attitude and Infrastructure do not. These findings reveal that consumers view two-wheeled BEVs primarily as functional alternatives to conventional motorcycles, rather than as environmentally friendly innovations. The contributes of this study is that it extends behavioral research by integrating TPB and EVE into Field Theory, and, practically, it highlights the need for policies that combine economic incentives with behavioral interventions to accelerate BEV adoption in Indonesia.
Performance Analysis of the IndoBERT–Prophet Hybrid Model for Logistics Applications Mulyati, Erna; Maniah, Maniah; Noviana, Noviana; Pardede, Nia
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.480

Abstract

The increasing competition in Indonesia’s logistics sector, particularly in digital courier applications, highlights the need for advanced analytical tools capable of understanding and predicting customer sentiment in real time. However, current sentiment analysis methods often lack contextual depth and predictive capability, limiting their practical value for decision-making. This study aims to develop and validate an integrated analytical framework that combines diagnostic and predictive analytics for logistics performance evaluation. The framework integrates a fine-tuned IndoBERT model for sentiment classification and a Prophet model for time-series forecasting, allowing the analysis of user reviews while accounting for external service disruptions. Empirical validation was conducted using 924 user reviews from the PosAja! application by PT Pos Indonesia. The IndoBERT model achieved an impressive 99.5% accuracy, effectively identifying two main complaint categories: application functionality issues and delivery delays. The Prophet forecasting component successfully modeled sentiment trends, revealing spikes in negative sentiment that strongly correlated with technical service disruptions, such as COD feature failures and server maintenance. The results confirm the framework’s robustness in both diagnosing and forecasting sentiment dynamics. User sentiment proved to be a sensitive real-time indicator of service stability and operational performance. The validated IndoBERT–Prophet hybrid framework provides a novel, data-driven approach for proactive decision-making and continuous service improvement in the logistics industry.

Page 8 of 8 | Total Record : 73

 4   5   6   7   8 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 23 No. 2 (2025): Spektrum Industri - October 2025 Vol. 23 No. 1 (2025): Spektrum Industri - April 2025 Vol. 22 No. 2 (2024): Spektrum Industri - October 2024 Vol. 22 No. 1 (2024): Spektrum Industri - April 2024 Vol. 21 No. 2 (2023): Spektrum Industri - October 2023 Vol. 21 No. 1 (2023): Spektrum Industri - April 2023 Vol. 20 No. 2 (2022): Spektrum Industri - October 2022 Vol. 20 No. 1 (2022): Spektrum Industri - April 2022