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Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
Scientechno: Journal of Science and Technology
ISSN : 29864887     EISSN : 29637481     DOI : 10.70177/Scientechno
Core Subject :
The journal provides a platform for the publication of original qualitative and quantitative research on education and instruction, compilations based on critical evaluation of current literature, and meta-analysis studies. The Scientechno: Journal of Science and Technology also aims to provide a platform where multiple educational disciplines can contribute and share educational insights, innovative approaches and practices. In this respect, Scientechno: Journal of Science and Technology publishes research in an attempt to present a reliable and respectable information source for the researchers.
Arjuna Subject : -
Articles 5 Documents
Search results for , issue "vol. 4 no. 2 (2025)" : 5 Documents clear
ANALYSIS OF THE EFFECT OF ADDING GLASS POWDER WASTE AS A CEMENT SUBSTITUTION AND THE USE OF PUMICE AGGREGATE ON THE COMPRESSIVE STRENGTH OF LIGHT CONCRETE Galing Wira Buana; Nuni Khoirinnisa Hudaya Taher; Tira Roesdiana
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2336

Abstract

Along with the increasing need for building materials and high cement prices, innovation in the use of alternative materials that are environmentally friendly and economical is needed. Glass powder waste, which is difficult to decompose and has the potential to pollute the environment, has the potential as a cement substitute because of its supportive physical and chemical properties. Additionally, pumice, as a lightweight aggregate, can reduce the dead load of the structure and enhance the efficiency of construction execution. This study aims to analyze the effect of the addition of glass powder waste as a cement substitution and the use of pumice aggregate on the compressive strength of light concrete. Glass waste, which comes from industrial and household waste, is used as a cement substitute with variations of 0%, 5%, 10%, and 15%. In contrast, pumice is used as a partial substitute for coarse aggregate. The method used is experimental, with laboratory testing including compressive strength tests at 14 and 28 days of age. The results showed that the addition of glass powder at a percentage of 5% gave the highest compressive strength values of 10.98 MPa (14 days) and 12.40 MPa (28 days), compared to concrete without glass powder, which only reached 8.14 MPa (14 days) and 11.11 MPa (28 days). This suggests that the combination of glass powder and pumice stone can significantly increase the compressive strength of light concrete, although the efficiency of the mixture decreases at higher percentages. This research provides an alternative to the use of local waste and aggregates in the development of environmentally friendly and economically efficient concrete.
TOWARDS INDUSTRY 5.0: A HUMAN-CENTRIC CYBER-PHYSICAL PRODUCTION SYSTEM FOR INDONESIA’S BATIK SMES Mochammad Isa Anshori; Chai Pao; Siri Lek; Andy Rachman
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2640

Abstract

Industry 4.0 has revolutionized manufacturing through automation and data exchange, but the transition towards Industry 5.0 emphasizes human-centric approaches, integrating human expertise with advanced technologies like cyber-physical systems (CPS). In Indonesia, Small and Medium Enterprises (SMEs), particularly in traditional sectors such as batik production, face challenges in adapting to these technological advancements. The batik industry, while rich in cultural heritage, has yet to fully embrace automation or digitalization, resulting in inefficiencies and limited scalability. This study aims to explore the potential of Industry 5.0 by developing a Human-Centric Cyber-Physical Production System (HCPPS) tailored to Indonesia’s batik SMEs. The goal is to enhance production efficiency while preserving traditional craftsmanship through the integration of smart technologies. The research employed a mixed-methods approach, combining qualitative interviews with batik producers and quantitative analysis using data from pilot implementations of a CPS model. A prototype of a human-centric cyber-physical system was developed, integrating Internet of Things (IoT) devices, augmented reality (AR), and robotics to assist batik artisans. The implementation of the HCPPS prototype resulted in a 25% increase in production efficiency, while artisans reported higher job satisfaction due to enhanced skill integration with technology. The system enabled greater customization, faster production cycles, and reduced errors. The study demonstrates that Industry 5.0’s human-centric approach can significantly improve productivity in traditional sectors like batik, providing a path for Indonesian SMEs to modernize while maintaining their cultural identity.  
AUTONOMOUS SYSTEMS IN INDUSTRY 5.0: ENHANCING HUMAN ROBOT COLLABORATION AND SAFETY IN INDONESIAN MANUFACTURING Lucas Lima; Tiago Costa; Li Wei; Rustiyana Rustiyana
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2890

Abstract

Industry 5.0 represents a fundamental shift toward a more human-centric paradigm in manufacturing by emphasizing enhanced collaboration between humans and robots, where autonomous systems are designed not only to optimize efficiency but also to improve safety and support workers in performing more complex and value-added tasks. In the Indonesian manufacturing context, the adoption of autonomous technologies is accelerating as industries seek to remain competitive; however, empirical evidence regarding their effectiveness in improving human-robot collaboration and workplace safety remains limited. This study addresses this gap by exploring the role of autonomous systems in Industry 5.0 and examining how integrated safety protocols and collaboration strategies can enhance both operational efficiency and occupational safety. Employing a mixed-methods approach, the research combines qualitative insights from interviews with industry experts and quantitative data derived from experimental implementations of autonomous robotic systems in Indonesian manufacturing environments. The findings demonstrate that the deployment of adaptive safety systems significantly strengthens human-robot collaboration, resulting in a 30% reduction in workplace accidents and a 20% increase in production efficiency. These results indicate that well-designed autonomous systems can effectively minimize risks while enabling workers to interact more confidently and productively with robots, thereby supporting the conclusion that Industry 5.0 technologies hold substantial potential for improving safety standards and overall performance in Indonesian manufacturing settings.
A SYSTEMIC AI AND CYBER-PHYSICAL FRAMEWORK FOR REAL TIME REMOTE PATIENT MONITORING IN INDONESIAN RURAL HEALTH CLINICS (PUSKESMAS) Ethan Tan; Ava Lee; Li Wei; Rustiyana Rustiyana
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2894

Abstract

Access to healthcare in rural Indonesia remains a significant challenge due to limited medical resources and healthcare personnel, leading to delayed diagnosis and suboptimal patient care. Remote patient monitoring offers a potential solution by enabling real-time health assessments and reducing the need for long-distance travel to healthcare facilities. This study aims to design and implement a systemic Artificial Intelligence and Cyber-Physical Systems framework for real-time remote patient monitoring in rural primary health clinics in Indonesia to enhance patient care, support early disease detection, and optimize healthcare resource allocation. The research employed a hybrid AI–CPS approach that integrated wearable health devices, Internet of Things sensors, and cloud computing infrastructure to continuously monitor patient vital signs. Artificial Intelligence algorithms were utilized to analyze health data and identify early signs of potential health anomalies. Data were collected from multiple rural Puskesmas where remote monitoring devices were installed, and system performance was evaluated using metrics including data accuracy, response time, and user satisfaction. The results indicated that the system achieved a high level of accuracy, with a 92 percent success rate in predicting potential health anomalies, while feedback from healthcare workers and patients demonstrated positive perceptions, particularly in terms of convenience, efficiency, and time savings. Overall, the findings confirm that the AI and Cyber-Physical Systems-based remote patient monitoring framework is effective in improving healthcare delivery in rural Indonesian clinics and holds strong potential as a scalable solution to enhance accessibility and quality of rural healthcare services.
DEVELOPMENT OF LOW-CARBON GEOPOLYMER CONCRETE USING FLY ASH AND INDUSTRIAL SLAG AS SUSTAINABLE MATERIAL ENGINEERING Edward Ngii; Dulguun Amarsaikhan; Fatima Al-Said; Khaled Al-Sharqi
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2954

Abstract

The construction industry is a major contributor to global carbon emissions, with traditional Portland cement production accounting for approximately 8% of total CO? output. The development of low-carbon alternatives is essential to achieving sustainability goals and reducing the environmental footprint of infrastructure. This research focuses on developing geopolymer concrete using fly ash and industrial slag as sustainable raw materials, offering a viable substitute for ordinary Portland cement. The objective of the study is to evaluate the mechanical performance, durability, and carbon footprint reduction potential of geopolymer concrete mixtures under varied proportions of fly ash and slag. A quantitative experimental method was employed, involving the synthesis of multiple mix designs with differing binder ratios, followed by compressive strength testing, microstructural analysis, and lifecycle assessment (LCA). The results indicate that the optimal blend of 60% fly ash and 40% slag achieved a 42% reduction in carbon emissions compared to conventional concrete while maintaining a compressive strength exceeding 45 MPa after 28 days of curing. The inclusion of slag significantly enhanced early strength development and chemical stability due to calcium enrichment, while the use of fly ash contributed to long-term durability. The study concludes that fly ash–slag–based geopolymer concrete represents a promising low-carbon alternative, combining industrial waste valorization with superior structural performance. Future applications could advance sustainable material engineering practices in both civil and environmental infrastructure sectors.

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