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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 395 Documents
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Visual communication in public space through mural art in Makassar, Indonesia Wasilah Sahabuddin; Andi Hildayanti
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.009

Abstract

Mural art serves as a powerful means of visual communication, allowing artists to convey messages, narratives, and ideas through visual elements. Murals often address social, political, cultural, or environmental issues, expressing viewpoints and sparking conversations within the community. This study aims to examine the role and meaning of visual communication in mural art in Makassar City. The object of observation is divided into two, namely mural art that is appropriate in its place and mural art that is not in its place, such as the walls of inhabited houses, shop fences, and public facilities. Through the case study research method conducted in the city of Makassar, the data collected through the observation and interview stages were then analyzed descriptively. The results show that mural art is an alternative form of conveying messages through aesthetic and ethical values. Due to its significant role in arousing one's feelings, the Makassar city government has made mural art an indicator of improving the quality of the city's environment through the Lorong Wisata program. As part of the "Lorong Wisata" program, mural art can be commissioned or encouraged to enhance the visual appeal of the designated lanes. Murals can transform plain walls into vibrant and visually captivating artworks, adding color and character to the surroundings. Mural installations can serve as focal points and landmarks within the tourism lanes, attracting visitors and providing unique photo opportunities.
Modelling and analysis of rooftop PV as an energy optimization of flat roof and gable roof mounting system Handoko Rusiana Iskandar; Een Taryana; Yuda Bakti Zainal
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.001

Abstract

Photovoltaic (PV) systems are designed for both communal and self-installation. PV systems are intended for both communal and standalone installations. Installation is required not only in industry and commerce, but also in the growth of energy potential at Universitas Jenderal Achmad Yani.  The focus of this research is rooftop PV modelling and analysis at Universitas Jenderal Achmad Yani. Because the ground mounting system could not be done due to limited land, a rooftop solar power-producing system was created. Data gathering is done as part of unique research that takes into account numerous technological criteria for efficiency. System analysis conducted by modelling and simulation, which will make use of a variety of tools linked to this PV system. Data was gathered from similar studies while accounting for numerous technological variables such as modelling and efficiency. K2Base system was used to model flat roofs with concrete roof types and gable roofs with tile roof types. The mounting type, wind load, truss load, and ballast were all taken into account in the design. This article also calculates PV panel configurations and component capacities. There are many different panels that can be constructed from each model. With a maximum roof area of 837.52 m2, 33 to 350 PV panels may be used. The number of inverters is changed to provide outputs of 10 kW, 25 kW, and 50 kW based on the calculations' findings. With differences in autonomous days, the number of batteries obtained has an average of more than 200 batteries.
Drug forecasting and supply model design using Artificial Neural Network (ANN) and Continuous Review (r, q) to minimize total supply cost Inaya Izzati; Iphov Kumala Sriwana; Sri Martini
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.002

Abstract

The Mentawai Islands Regency Regional General Hospital faces a significant challenge with an 83% overstock of Medical Consumables, leading to increased inventory costs and potential damage and expiration of items. This exceeds the 1% pharmaceutical drug storage standards the Ministry of Health set. This study aims to optimize demand forecasting and minimize total inventory costs through a two-stage process. Firstly, demand forecasting is conducted using Artificial Neural Network (ANN), predicting a future demand of 10,036 units of Medical Consumables. Subsequently, the optimal order quantity and reorder points are calculated using the continuous review (r, Q) approach. The results reveal the optimal order quantities and reorder points for four types of Medical Consumables. This research introduces a novel approach by employing ANN for demand forecasting, then calculating optimal order quantities and reorder points using continuous review (r, Q). The cost components considered in the inventory cost calculation include purchasing cost, holding cost, shortage cost, order cost, outdating cost, and inspection cost. The designed forecasting models aim to enhance inventory management efficiency, optimize cost control, and improve patient services. The limitation of this research is that it only used five types of consumable medical materials to carry out this research due to limited data access. It is hoped that future research can use other types of drugs as well as a periodic review and forecasting approach using GA.
Enhancing Indonesian customer complaint analysis: LDA topic modelling with BERT embeddings Mutiara Auliya Khadija; Wahyu Nurharjadmo
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.015

Abstract

Social media data can be mining for recommended systems to know the best trends or patterns. The customers have the freedom to ask questions about the product, tell their demands, and convey their complaints through social media. By mining social media data, companies can gain valuable insights into customer preferences, opinions, and sentiments. This information can be utilized to improve products and services, tailor marketing strategies, and enhance overall customer satisfaction. Topic modelling is a text mining technique that extracts the content from the raw and unlabelled data. Latent Dirichlet Allocation is popular for topic modelling research cause flexible and adaptive. But that method has issues with sparsity, performs poorly when documented in the short text and there is no correlation between topics that are actually important in text data. BERT is Bidirectional Encoder Representations from Transformer is designed to pre-train deep bidirectional representations from unlabelled text. The result of this research proves that Latent Dirichlet Allocation and BERT can be arranged on the topic of Indonesian customer complaints. BERT-Base Multilingual Cased and LDA have the highest coherence score. The combination of BERT-Base Multilingual Uncased and LDA has the highest silhouette score. BERT Multilingual are potential for improving the LDA method for Indonesian customer complaints topic modelling.
Battery Energy Storage System (BESS) as a voltage control at substation based on the defense scheme mechanism Zainal Arifin; Aditya Firmanto; Sirilus Dwirawan; Dede Rilwan Alwani
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.001

Abstract

Battery Energy Storage Systems (BESS) can improve power quality in a grid with various integrated energy resources. The BESS can adjust the supply and demand to maintain a more stable, reliable, and resilient power system. Connected to the grid, BESS can respond quickly as a voltage regulator on the grid in the event of a voltage drop during peak load or when a disturbance occurs. Thus, the equipment has designed a voltage regulation scheme to prevent voltage drops and poor power quality caused by some rapid voltage fluctuations. This study investigates the role of BESS as a voltage control combined with a defense scheme mechanism at a high-voltage network in Jakarta. ETAP modeling software has investigated several voltage regulation systems with BESS at the substation indications. The results showed that the BESS at Substations can improve the voltage quality on the grid through voltage regulation. 

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