cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhamad Fuat Asnawi
Contact Email
fuatasnawi@nacreva.com
Phone
+6285291041812
Journal Mail Official
admin@nacreva.com
Editorial Address
Dieng Street KM 11, Wonosobo District, Central Java Province, Indonesia
Location
Kab. wonosobo,
Jawa tengah
INDONESIA
Clean Energy and Smart Technology
Published by CV Nature Creative Innovation
ISSN : -     EISSN : 29642647     DOI : https://doi.org/10.58641/cest
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mechanical Engineering
The Clean Energy and Smart Technology (CEST) journal aims to provide a platform for researchers, academicians, and professionals to publish high-quality articles that explore innovative ideas and solutions in the field of energy and technology. It focuses on fostering interdisciplinary research and practical applications that address current challenges and opportunities in energy efficiency, sustainability, and technological advancements. Scope The journal covers a wide range of topics, including but not limited to: Energy and Cost Efficiency: Analysis of cost-saving measures and efficient energy utilization in various sectors. Social Impact of Energy and Technology: Studies on how energy and technological developments affect societal well-being. Sustainable and Smart Architecture: Design and development of energy-efficient and smart buildings. Environmental and Safety Concerns: Investigation of hazardous substances in residential and industrial environments. Structural Innovations: Research on earthquake-resistant technologies and advanced materials. Legal and Policy Frameworks: Examination of laws and regulations governing energy and technology implementation. Renewable Energy Development: Exploration of new and renewable energy sources and technologies. Multidisciplinary Applications: Cross-cutting studies that integrate energy and technology with fields such as informatics, engineering, physics, and chemistry.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025): October" : 6 Documents clear
PLANNING OF ATHLETE'S VILLAGE IN WONOSOBO WITH A GREEN ARCHITECTURE APPROACH Romadhoni, Desika; Muafani; Hendriani, Adinda Septi
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper presents the planning of an Athlete’s Village in Wonosobo, Central Java, using a green-architecture approach to deliver high-quality temporary housing and training facilities while minimizing environmental impacts. The study combines literature review, field observation, and comparative analysis of established athlete housing precedents (e.g., Kemayoran and Jakabaring) with site appraisal and space-requirement programming. The proposed scheme organizes the 1-ha site into clear functional precincts—accommodation and training, management and support, utilities and waste, and visitor/public interface—linked by legible, barrier-free circulation. Passive design is prioritized through cross-ventilation, daylighting, strategic orientation, and a robust green/open-space network; active systems are limited to targeted, high-efficiency equipment. Resource strategies include rainwater harvesting, low-impact materials, and waste-to-resource handling (segregation, hygienic collection, and landscape-based polishing). The outcome is a context-responsive layout that improves athlete comfort and performance, strengthens operational safety and maintainability, and positions Wonosobo as a competitive-sports hub that models environmentally responsible development. The work’s contribution is a replicable planning framework for medium-scale athlete housing in Indonesian secondary cities, coupling spatial programming with green-infrastructure tactics that are feasible under local climatic, managerial, and budgetary constraints.
DESIGN OF YASMIN FARM DAIRY CATTLE FARMING AREA IN PURWOREJO Maksum, Rizal; Hermanto, Heri; Hermawan, Hermawan
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study proposes the design of an integrated dairy farming area at Yasmin Farm, Purworejo, to optimize land use, safeguard animal welfare, and enhance operational efficiency. A mixed qualitative–quantitative design approach was adopted, combining literature review, comparative case observations of reference farms, on-site surveys, and a space-requirement analysis that informed the layout of barns, milking facilities, feed storage, and waste-handling units. The planning embeds green-design strategies—natural ventilation and daylighting, water harvesting, resource-efficient circulation, and staged waste valorization (composting/biogas)—alongside appropriate automation for herd monitoring and milking. The resulting scheme organizes the estate into clear functional zones (production, support, education–tourism, and utilities) to minimize cross-contamination risk, shorten process flows, and improve worker safety. Expected benefits include more stable milk quality and capacity, reduced environmental footprint, and opportunities for education and community engagement. The work’s novelty lies in a context-specific, medium-scale dairy farm blueprint that couples spatial programming with sustainability and edutourism functions, offering a practical model for Central Java and similar tropical settings.
CHALLENGES IN DATA SECURITY: TECHNOLOGICAL AND REGULATORY CHALLENGES IN THE PROTECTION OF PERSONAL DATA IN THE DIGITAL ERA Asnawi, Muhamad Fuat; Muhammad Alif Muwafiq Baihaqy; Saifu Rohman; Nur Hasanah; Dian Asmarajati
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the challenges of personal data security in the digital era, focusing on encryption technology and the role of artificial intelligence (AI) in protecting personal data in an increasingly complex digital environment. Adopting a Systematic Literature Review (SLR) method, this study examines 91 articles obtained from IEEE Xplore and ScienceDirect to identify trends and challenges in personal data security, particularly in the context of cloud computing and the Internet of Things (IoT). The results show that although encryption technology and AI offer advanced solutions, major challenges remain in the implementation of global regulations such as GDPR and differences in policies and infrastructure across countries. This study also discusses potential solutions such as blockchain and the implementation of adaptive encryption to address weaknesses in personal data security.
REDESIGN AND CREATION OF THE CROCKING MACHINE FABRIC LOCK FOR MORE ACCURATE CROCKING Reza Tripratama Budiono; Basuki, Puji
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to redesign the fabric locking system on a crocking machine to address the main problem, namely how to create a more stable and accurate locking system in the fabric colorfastness testing process. The research methods include literature study, design, prototype creation, and experiential testing. The results show that the old locking system with 2 bolts requires an average of 28 seconds for installation, testing, and removal, but produces less stable clamping and the fabric tends to wrinkle. Meanwhile, the new locking system with 4 bolts requires 46 seconds, but is able to provide a stronger, more stable, and more accurate clamping without causing wrinkling. Tests on various types of fabrics such as cotton combed 24s, poly span rib, and DTY brush light weight can prove that the new design is more consistent in maintaining fabric stability during testing. Although it requires longer installation and removal times, the new locking system is proven to improve test results, improve fabric clamping quality, and reduce the risk of machine damage. This design is recommended for application in the textile industry to improve the quality of colorfastness testing and product quality consistency.
PERFORMANCE OF VORTEX TURBINES IN ULTRA-LOW-HEAD HYDROELECTRIC POWER PLANTS: A NUMERICAL STUDY Firdaus Asyhar; M. Furkon Hakim; Sunaryo
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The performance of vortex turbines in ultra-low-head hydropower plants is crucial for harnessing energy in irrigation channels and small rivers. Therefore, an optimal design is needed to maximize the conversion of flow energy into electrical power. This study aims to evaluate and determine the best-performing configuration of ultra-low-head vortex turbines. The method used is Computational Fluid Dynamics (CFD) simulations employing the k-ω Standard turbulence model, with variations in the number of blades (3, 5, and 7) and a fixed blade angle of 15°. The results show that the 7-blade configuration with a 15° angle provides superior performance, generating 3.90 W of power, reducing NPSH by 2%, and increasing force by 6%, with a force value of 52.65 N. The implications of these findings suggest that the 7-blade–15° configuration is a suitable design reference for optimizing ultra-low-head vortex turbines in micro-scale hydroelectric power plants, supporting the utilization of renewable energy in irrigation networks and rural areas.
GOLD PRICE PREDICTION SYSTEM USING THE RANDOM FOREST METHOD Kurnia Agung Prastyo; Sibyan, Hidayatus; Nur Hasanah
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gold is one of the most important commodities, serving as an investment instrument and a hedge against inflation. The high volatility of gold prices demands accurate predictions to support investment decision-making. This study aims to develop a gold price prediction system using the Random Forest method based on machine learning. The dataset used consists of daily gold prices from Yahoo Finance covering the period from 2020 to 2024. The research stages include data collection, preprocessing, model training, evaluation, and implementation into an interactive website. Evaluation results show a MAE of 329.31, MSE of 148,599.40, RMSE of 385.49, and a negative R² value (-1.97), indicating the model is not yet accurate. However, the system can provide a general overview of gold price trends and can be further improved to enhance prediction accuracy.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 1 (2025): October Vol. 3 No. 2 (2025): April Vol. 3 No. 1 (2024): October Vol. 2 No. 2 (2024): April Vol. 2 No. 1 (2023): October Vol. 1 No. 2 (2023): April Vol. 1 No. 1 (2022): October