cover
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
ISSN : -     EISSN : 29642647     DOI : https://doi.org/10.58641/cest
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.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 2 (2024): April" : 5 Documents clear
WONOSOBO GELORA STADIUM DESIGN WITH A FUTURISTIC ARCHITECTURAL APPROACH Setiawan, Agus; Hermawan, Hermawan; Hendriani, Adinda Septi
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.79

Abstract

Stadiums are the most influential supporting facilities for the sport of football in the world. Having a stadium can add pride to an area. Gelora Wonosobo Stadium is a football stadium in Wonosobo district as well as a stadium that will be used as the headquarters for the PSIW football club (Wonosobo Indonesian Football Association). The club, which has the nickname Laskar Kolodete, was previously headquartered at the Kalianget Stadium which is adjacent to the Kalianget Recreation Park and has not yet received proper stadium facilities and also cannot be called a stadium considering how it is now, therefore the Gelora Wonosobo Stadium was built which is located on Jalan Wonosobo. Kertek is opposite the Dewasni Café Restaurant, the choice of location also takes into consideration several things, namely land use, accessibility, supporting facilities for the surrounding environment and city utilities so that it will make it easier for stadium users. Gelora Wonosobo Stadium is a district class B type stadium which has FIFA standard facilities and has a capacity of approximately 20,000 spectators with a distribution of 400 VIP/VVIP spectator seats, 18,600 general spectator seats, 1000 disabled spectator seats which is 5% of the general spectators. The Gelora Wonosobo Stadium will adopt a modern, futuristic architectural style and without an athletics track. With the absence of an athletics track, the distance between the field and the stands will be closer, so there will be a distance between the stands and the field or a safety zone to see the less orderly behavior of the Indonesian people.
SMARTPHONE RECOMMENDATION DECISION SUPPORT SYSTEM USING THE TOPSIS METHOD Dani Sifa Abdillah; muhamad Fuat Asnawi
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.80

Abstract

Many smartphone brands with various specifications and competitive prices often make consumers confused when deciding which smartphone to buy. There are many choice factors for consumers to buy the right smartphone according to their use, while the choice of smartphone is still considered subjective, so it is not uncommon for the choice of smartphone to be less than optimal. The aim of this research is to recommend the best smartphone based on predetermined usability and price criteria, including gaming needs, content creators and low price using the Technique for Others Preference by Similarity to Ideal Selection (TOPSIS) method. The results of the process of implementing the TOPSIS method can display alternative ranking data from the largest value to the smallest value.
IMAGE CLASSIFICATION RECOGNITION OF GAMELAN MUSICAL INSTRUMENT TYPES USING CNN METHOD ANDROID BASED Muhamad Mufid Bachri; Erna Dwi Astuti; Hidayatus Sibyan
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.81

Abstract

In the ever-evolving digital age, the use of digital images has become a significant and widespread phenomenon in various fields. Digital image processing and understanding has become an important requirement in various applications, including pattern recognition and computer vision. On the other hand, the sustainability and understanding of cultural treasures, such as Gamelan, is becoming increasingly crucial. UNESCO has recognized Gamelan as Indonesia's 12th World Intangible Cultural Heritage, reminding us of the responsibility to maintain and preserve this cultural heritage. In the digital era, where interest in traditional musical instruments is declining, Convolutional Neural Network (CNN) is implemented as a solution to classify Gamelan musical instrument types based on visual patterns in images. CNN, implemented in an Android system, showed good results with accuracy reaching 98% in the model test stage and 79% in the Android application test. The classification model using TensorFlow Lite, specifically MobilNetV2, was able to recognize Gamelan musical instrument types in the training dataset. However, it should be noted that this model is limited to that dataset. This research contributes to the merging of technology and cultural heritage, enabling the use of technology to enhance cultural understanding and sustainability.
FORMULATION OF CONCRETE COMPRESSIVE STRENGTH BASED ON BUILDING AGE, DENSITY, AND NON-DESTRUCTIVE TESTING WITH ULTRASONIC PULSE VELOCITY TESTS Khoeri, Heri; Wisnu Isvara; Roberto Pradana; Dini Sofiana
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.85

Abstract

In the assessment of existing reinforced concrete buildings, the compressive strength of concrete, , is a key parameter for performance assessment. The most accurate way to identify it is by conducting compressive strength tests on core concrete samples from structural elements obtained through drilling. The more samples taken, the more accurate the determination of for structural modeling will be. However, sampling in buildings certainly disrupts activities within the building, compounded by drilling marks that leave traces even after repairs. Therefore, sample collection must be selective, yet the results must still provide confidence as input for structural analysis. A method for estimating using the ultrasonic pulse velocity test, UPVT, categorized as a Nondestructive Test, NDT, has long been used and continues to be developed. Various building regulations state that NDT for estimating should be paired with the results of compressive strength tests on core concrete samples to obtain correlation between them. The relationship equation between wave propagation velocity, , and varies between studies, indicating that besides , there are other influencing factors. In this study, samples were taken from 5 (five) buildings of different ages. In addition to , the effects of density, , and age, , were examined. The results of the study indicate that has no effect, while influences the relationship between V and according to the equation with .
Quick Assessment of Bridge Performance Based on Dynamic Parameters Acquired with Smartphone Application Khoeri, Heri; Nugroho, Panji; Pradana, Roberto
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.86

Abstract

The road management regulation aims to achieve reliable and excellent road services that prioritize the interests of the community by ensuring the functional and competitive performance of the roads, as well as community participation in road management in accordance with Republic of Indonesia Law No. 2 of 2022. As part of the community, when crossing the Tegineneng Bridge on the Tegineneng-Sp. Tanjung Karang road section in Lampung Province and feeling discomfort from the bridge vibrations, participating individuals conducted vibration measurements using 2 smartphones. The gyroscopes in the smartphones, packaged within a g-force application, were capable of recording real-time vibrations in a user-friendly manner, and the output data was compatible with existing modal analysis software. Subsequently, vibration data recordings using the SSI algorithm yielded dynamic parameters such as a natural frequency of 2.009Hz and a damping ratio of 7.927%. The frequency of 2.009Hz for a span of 60m is lower compared to bridges of the same span from the dynamic bridge test regression equation in Indonesia, which is 2.347Hz. Under these conditions, it is estimated that the Tegineneng Bridge experienced minor structural damage with a damage level of 14.1% and its capacity is lower by 28.2% than the empirical estimate. The damping ratio exceeding 5% is estimated to be due to excessive energy dissipation through cracks in the concrete or through defects in the connections between steel frame elements. It is recommended that relevant stakeholders conduct a detailed inspection of the bridge to ensure its safety and undertake necessary measures to guarantee the safety of its users.

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