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Andi Adriansyah
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INDONESIA
Sinergi
Published by Universitas Mercu Buana
ISSN : 14102331     EISSN : 24601217     DOI : https://dx.doi.org/10.22441/sinergi
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
SINERGI is a peer-reviewed international journal published three times a year in February, June, and October. The journal is published by Faculty of Engineering, Universitas Mercu Buana. Each publication contains articles comprising high quality theoretical and empirical original research papers, review papers, and literature reviews that are closely related to the fields of Engineering (Mechanical, Electrical, Industrial, Civil, and Architecture). The theme of the paper is focused on new industrial applications and energy development that synergize with global, green and sustainable technologies. The journal registered in the CrossRef system with Digital Object Identifier (DOI). The journal has been indexed by Google Scholar, DOAJ, BASE, and EBSCO.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 24 Documents
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Search results for , issue "Vol 29, No 1 (2025)" : 24 Documents clear
Symbolism in contemporary mosque architecture discourse: an integrative literature review Fireza, Doni; Sabil, Azmal; Utaberta, Nangkula
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.011

Abstract

Contemporary mosque architecture, as part of postmodern architecture, is an interesting focus of discussion, which has dimension of subjective meanings represented or symbolized in the architectural design. Thus, this can be viewed as a medium of communication between architects and the public, or in the context of mosque architecture, as a medium for conveying Islamic teachings to the ummah. To understand how design symbolism communicates ideas in architecture, selected publications on contemporary mosque architecture were reviewed within the postmodern architectural paradigm. This study aims to critically develop new ideas and perspectives from contemporary mosque architecture as a communication medium of religious values and teachings. Using integrative literature review as methodology, the result is the construction of new ideas and perspectives regarding the relationship among aspects in the paradigm of postmodernism developed in mosque architectural history.
Changes in the form of houses in the earthquake area Cihikeu village, Sarampad, Cigenang, Cianjur Widajanti, Andjar; Ramadhan, Juang Esa; Hasan, Raziq
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.002

Abstract

Cihikeu Village, Sarampad Village, Cianjur Regency, is an earthquake area. From the initial survey of several residential houses in Cihikeu Village, several of the residential houses that experienced minor damage were buildings with stilt structures and woven bamboo/wood walls. Meanwhile, the houses that suffered heavy damage due to the earthquake were walled buildings. The change in the form of residential buildings in Cihikeu Village, Cianjur, which were originally structures on stilts to become permanent buildings with walls, raises the question: What factors were behind them making this change? This research uses qualitative methods, namely observation and interviews to determine changes in building shape and what factors influence these changes in shape. The results of the research resulted in changes in the shape of the building in Cihikeu Village, it experienced heavy damage caused by several things, namely: economic factors, maintenance factors and insight factors from the external environment. The impact of the earthquake where residents received assistance from certain foundations caused residents to add bathrooms, where currently residents use public bathrooms.
ANFIS method to enhance FMEA water operation model of Indonesia drinking water distribution system Septiyana, Diah; Abd. Rahman, Mohamed; Mohamed Ariff, Tasnim Firdaus; Rosarina, Desy; Adesta, Erry Yulian T.; Hakim, Galang Persada Nurani; Sukindar, Nor Aiman
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.016

Abstract

Many problems are found in water treatment and distribution in water operations. Those problems range from low to critical risk. All critical risks must be addressed immediately. The Failure Mode and Effects Analysis (FMEA) prioritizes problems based on Occurrence, Severity, and Detection values to identify critical risks. However, this method is also having problems. With the same risk priority number (RPN) calculation, FMEA would be a ranking problem with the same RPN value; hence, we have a priority problem that is not critical but based on the highest value. To solve this problem, we propose additional methods, such as the ANFIS, to give weight based on risk level classification. From the results of data processing carried out by the ANFIS method, it is proven that it can perform re-ranking, for example, in the L2, R5, S8, and U3 code, which has an FMEA RPN value of 12. However, in FMEA-ANFIS, the RPN value becomes L2 2.05, R5 1.52, S8 1.32, and U3 2.52. Furthermore, with these results, it can be concluded that the ANFIS method can enhance the FMEA model in water operations.
Understanding passenger satisfaction and expectations in free bus service based on socio-demographic characteristics in Johor and the Klang Valley, Malaysia Zakaria, Husna; Md. Rohani, Munzilah; Mohd Pozi, Muhammad Fazreen
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.007

Abstract

Free bus service is known to serve passengers with the same goal as normal bus does. In fact, the implementation of free bus service acts as an alternative solution for those who have financial limitations. To keep a high satisfaction level of passengers regardless of various backgrounds, it is important for the free bus providers to maintain the quality of their service. Therefore, this study aims to understand the relationship between socio-demographic characteristics and the satisfaction level and expectation of passengers on free bus services allocated in Klang Valley and Johor, Malaysia. A survey was conducted among the free bus users to collect data on their socio-demographic characteristics and their experiences with the service quality offered. According to the survey, teens and single people were the primary passengers of the free bus service. Moreover, passengers who had low income, no driving license, and no vehicles were also more likely to use the service. The overall satisfaction level of passengers was high (mean score > 3.6), indicating that the service quality provided by the free bus service provider met the expectations of passengers. However, no evidence was found from this study to relate socio-demographic factors with satisfaction level. 
Human vs machine learning in face recognition: a case study from the travel industry Lionnie, Regina; Hermanto, Vidya
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.021

Abstract

This research was conducted to help answer whether a machine learning simulation can replace the human ability to recognize human faces, especially under challenges under travel industry requirements. The human ability to recognize faces was evaluated using a series of questions in a survey. The questions challenged the human respondents to recognize faces under similar looks, with hair and makeup disguises, only part of the facial area, and under dark lighting conditions. At the same time, a histogram of oriented gradient (HoG) combined with a support vector machine (SVM) was built for machine learning simulations. The machine learning was evaluated using two datasets, i.e., the Extended Yale B (EYB) Face dataset for challenge under dark lighting conditions and The Extended Makeup Face Dataset (EMFD) for challenge using face with makeup disguise. The results showed that machine learning simulation of the face recognition system yielded accuracy as high as 95.4% under dark lighting conditions and 70.8% under facial makeup disguise. On the contrary, only 48% of respondents accurately recognized human faces in dark lighting. The number was increased to 94-96% when the face images were adjusted first with the contrast adjustment method.  However, only 36-37% of respondents accurately recognized human faces under face makeup disguise. 
Signal quality comparison of customer base and branching methods in fiber to the home network design Rahayu, Yusnita; Azhary, Muhammad Raihan; Ngah, Razali; Ali, Arbiansyah
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.012

Abstract

One communication medium that is well-known for its outstanding and reliable performance is fiber optic. A social example of its application is the Fiber to the Home (FTTH) network. The goal of this study is to evaluate the signal quality of the customer base method and the branching method, two FTTH-building techniques based on the PT.PLN Icon Plus standards, in order to identify the most practical approach for use in the Air Hitam 2 cluster. Two scenarios were used in this study at the Fiber Access Terminal (FAT) with 1:16 and 1:8 splitters. The fiber optic cable path design findings demonstrate that the branching approach is a wise decision, utilizing optical fiber cables for a total of 9 Km, with the greatest cable distance being 2.5 Km from the Optical Line Terminal (OLT) to the end FAT. According to theory, in the 1:16 splitter situation and the 1:8 splitter scenario, the optical power received by the Optical Network Terminal (ONT) is -19.13 dBm and -16.03 dBm, respectively, with an OLT transmit power of 3 dBm. For these cases, the simulation results are -17.98 dBm and -20.27 dBm. Additionally, the budget value for the rising time reaches 0.253 ns. The bit error rate values in the 1:16 and 1:8 splitter scenarios are 3.157 × 10-10, and 1.63507 × 10-28, respectively, while the Q factor values are 6.18233 and 11.014, respectively. Based on theory and simulation, these findings suggest that the branching strategy can deliver good performance.
Renewable energy in chemical industrial buildings for cost performance Kussumardianadewi, Bernadette Detty; Husin, Albert Eddy; Sinaga, Lastarida
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.003

Abstract

Due to their potential benefits for a variety of industries, blockchain technologies have recently attracted a lot of attention from the scientific community as well as the business community. Blockchain provides distributed, secure, permissioned transactional ledgers, that successfully deal with these problems. The purpose of this study is to present a new conceptual framework that combines blockchain technology with building information modeling. This framework is specifically designed for smart contracts and digital transactions in the chemical industry's retrofitting of green buildings. Within this particular context, the main goals are to improve cost-effectiveness, bolster cybersecurity measures, improve information sharing and management, expedite payment transactions, and advance sustainability. In Cilegon, Banten, Indonesia, a chemical facility was the study's location. The study also makes use of partial least squares structural equation modeling.
Support Vector Machine (SVM) based Detection for Volumetric Bandwidth Distributed Denial of Service (DVB-DDOS) attack within gigabit Passive Optical Network Bibi, Sumayya; Zulkifli, Nadiatulhuda; Safdar, Ghazanfar Ali; Iqbal, Sajid
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.017

Abstract

The dynamic bandwidth allocation (DBA) algorithm is highly impactful in improving the network performance of gigabit passive optical networks (GPON). Network security is an important component of today’s networks to combat security attacks, including GPON. However, the literature contains reports highlighting its vulnerability to specific attacks, thereby raising concerns. In this work, we argue that the impact of a volumetric bandwidth distributed denial of service (DVB-DDOS) attack can be mitigated by improving the dynamic bandwidth assignment (DBA) scheme, which is used in PON to manage the US bandwidth at the optical line terminal (OLT). Thus, this study uses a support vector machine (SVM), a machine learning approach, to learn the optical network unit (ONU) traffic demand patterns and presents a hybrid security-aware DBA (HSA-DBA) scheme that is capable of distinguishing malicious ONUs from normal ONUs. In this article, we consider the deployment of the HSA-DBA scheme in OMNET++ to acquire the monitoring data samples used to train the ML technique for the effective classification of ONUs. The simulation findings revealed a mean upstream delay improvement of up to 63% due to the security feature offered by the mechanism. Besides, significant reductions for the upstream delay performance recorded at 63% TCONT2, 65% TCONT3, and 95% TCONT4 and for frame loss rate reduction for normal ONU traffic, respectively, were observed in comparison to the non-secure DBA mechanism. This research provides a significant stride towards secure GPONs, ensuring reliable defense mechanisms are in place, which paves the way for more resilient future broadband network infrastructures.
Broadband HMSIW antenna using a demi hexagonal ring slot for X-band application Astuti, Dian Widi; Muslim, Muslim; Umaisaroh, Umaisaroh; A Majid, Huda; Alam, Syah
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.008

Abstract

Microstrip antennas offer several advantages, including small size, easy fabrication, controllable polarity and radiation patterns, and easy integration with other components. These qualities make microstrip antennas more reliable than other antenna types. However, they also have limitations, such as lower radiation efficiency and narrow bandwidth, primarily due to the thin substrate thickness. Substrate integrated waveguide (SIW) is a type of microstrip antenna. SIW antennas come in two forms: one with a rectangular shape, typically designed as a slot, and the other in the form of a horn. However, SIW slot antennas face challenges with narrow impedance bandwidth due to the thin substrate, unlike conventional bulky hollow waveguides. The half-mode substrate integrated waveguide (HMSIW) slot antenna, which is a 50% miniaturized version of the SIW slot antenna, also suffers from reduced fractional bandwidth, resulting from the miniaturization and the thin substrate. This paper focuses on enhancing the bandwidth of HMSIW antennas by incorporating a demi-hexagonal ring slot. The broadband impedance bandwidth simulation (27.36%) is achieved through triple resonance frequencies to address the issue of narrow impedance bandwidth. Both the simulation results and measurements show consistency, with the measured impedance bandwidth ranging from 8.91 to 12.62 GHz (34.46%), demonstrating at least triple resonance frequencies.
Indonesia rupiah currency detection for visually impaired people using transfer learning VGG-19 Alfatikarani, Raissa; Suciningtyas, Laras; Bimasakti, Genta Garuda; Mardhatillah, Faqisna Putra; Paragas, Jessie R.; Tjahyaningtijas, Hapsari Peni Agustin
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.022

Abstract

People with visual impairments often face difficulties in determining the authenticity of paper money, which is a crucial skill to avoid fraud. The limitations of traditional methods, like blind codes for visually impaired people, require a more advanced and efficient solution. Previous methods of currency detection using Convolutional Neural Network (CNN) techniques, including the VGG-19 architecture, have often encountered challenges, particularly the long training times required. Therefore, we propose using transfer learning techniques and modifying the top layers of the VGG-19 model, known as fully connected layers, within a mobile application with audio feedback built using Android Studio. These modifications involve substituting the three fully connected layers with dense and flattened layers. We also implemented hyperparameter tuning, including adjusting the batch sizes and setting the number of epochs. The datasets used Indonesian Rupiah paper currency from the 2022 emission year, specifically Rp 50,000 and Rp 100,000 denominations. The best transfer learning VGG-19 model achieved a batch size of 32 and an epoch of 50, resulting in a high accuracy of 88%. Response speed testing with performance profiling on Android Studio showed an overall average response time of 458 ms. The main advantage of using transfer learning with the VGG-19 model is that it significantly reduces training time while still achieving high accuracy, differentiating this work from previous studies that relied on training from scratch, which is more time-consuming and resource-intensive. Therefore, this mobile app can be categorized as having a fast response time.

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