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Contact Name
Normalisa
Contact Email
normalisa@iuli.ac.id
Phone
+6281295674945
Journal Mail Official
lppm@iuli.ac.id
Editorial Address
Associate Intermark Tower Rawa Mekar Jaya, Serpong Sub-District, South Tangerang City, Banten 15310
Location
Kota tangerang selatan,
Banten
INDONESIA
Liaison Journal of Engineering
ISSN : 28095243     EISSN : 28095243     DOI : -
including all the engineering scope that publishing by International University Liaison Indonesia (IULI University) and a scientific journal of computer science and engineering that contains the results of research or the latest research surveys that will publish regularly
Articles 43 Documents
Identifying How Any Interface Elements Are Created in The Gamemaker Engine jibran prawiko; normalisa; pradana atmadiputra
Liaison Journal of Engineering Vol. 3 No. 1 (2023): Volume III
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Abstract

A GUI, whether well or badly designed, is one of the most important requirements for any video game. The role of a GUI is to present the player with their in-game character’s current status, whether it’s the number of ammunitions of a weapon, the current active quest, or the player’s current location within the game’s map. Creating GUI elements should be one of the first guides that are taught after a GameMaker tutorial provides a guide on creating a camera object. The creation process of a GUI element can be divided into two parts; its positioning and functionality. In theory, simplifying the development process, in this case the algorithm, for creating GUI elements is possible, mainly by categorizing every GUI element based on what they are presenting to the player. Developers could then create the same algorithm for every element that falls in one category, thus simplifying the development process. Keywords: GUI elements, game development, simplification, categorization.
Performance Evaluation of Different Octane Numbers on Toyota Yaris Through Dynamometer Test and Engine Simulation fadhlan nazhif iskandar; rahmat nur adi wijaya; sentot wahjoe goeritno
Liaison Journal of Engineering Vol. 3 No. 1 (2023): Volume III
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On April 1st 2022, fuel prices in Indonesia including PT Pertamina’s non-subsidized Pertamax RON 92 and Pertamax Turbo RON 98 fuels rose by up to 39% while the price of the subsidized Pertalite RON 90 fuel remained constant. The escalation of price differences appeared to sway the non-subsidized fuel consumer’s preference to switch to the much cheaper subsidized fuel with lower Research Octane Number (RON), thus resulted in a market shift to the Pertalite RON 90 fuel, which fuel octane rating is lower than the requirement and recommendation from the car manufacturer, the government, and the fuel supplier. The purpose of the study is to compare, analyze and evaluate performance differences such as torque, power and specific fuel consumption when using different octane number of fuels including Pertalite, Pertamax and Pertamax Turbo on a 2015 Toyota Yaris with 1NZ-FE engine through dynamometer test and engine modeling simulation. The result from the dynamometer test revealed that using Pertalite RON 90 decreased the torque, power, and specific fuel consumption in average by 3.85%, 3.83% and 9.58% respectively, while using Pertamax Turbo RON 98 only increased the numbers by 2.3%, 2.31% and 13.43% respectively, both compared to when using Pertamax RON 92. The result from the engine modeling simulation also revealed similar trend, where using Pertalite RON 90 decreased the torque, power, and specific fuel consumption in average per cylinder by 1.22%, 1.21% and 1.22% respectively, while using Pertamax Turbo RON 98 only increased the numbers by 1.02%, 1.01% and 0.99% respectively, both also compared to when using Pertamax RON 92. The results illustrated the increase in performance when using higher RON, but the performance gain from Pertamax RON 92 to Pertamax Turbo RON 98 is smaller than the gain from Pertalite RON 90 to Pertamax RON 92. Keywords: Engine Performance; Research Octane Number; Pertalite RON 90; Pertamax RON 92; Pertamax Turbo RON 98; Torque; Power; Specific Fuel Consumption
How Graphene Oxide Nanoparticles Can Revolutionize the Concrete Industry davidson, nathanael; darrell kurniawan, matthew; aria pradana, johannes
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Abstract

One of the most utilized materials for construction is concrete. Concrete is a fairlyinexpensive, strong, and durable material to use for various construction. However, it has been shown that by adding Graphene Oxide Nanoparticles (GONPs) into the concrete mix, it is possible to improve its physical properties and durability. GONPs can be manufactured in various methods, Chemical Vapor Deposition (CVD), Exfoliation (Mechanical or Electrochemical), or Hummers' method. The dispersal of the NPs is also very important to the end physical properties of the dried concrete. Homogenous dispersal can be achieved by High Shear Mixing, Ultrasonication, Surfactant- Assisted Mixing, or Ball Milling. By adding 0.03% by weight of GO to the concrete mix, the compressive strength and the tensile strength both increased by 40% and the total porosity decreased by 13.5%. However, this led to a decrease in the workability by 34.6%. Additionally, this new form of concrete generates overall fewer carbon emissions. Although currently, this new form of concrete is significantly more expensive compared to conventional concrete, it has a longer lifetime and pays back in the long run. Keywords: Concrete; Nanomaterials; Nanoparticles; Graphene; Graphene Oxide; Paper; Journal; Liaison Journal of Engineering; International University Liaison Indonesia;
Nanorobots in Targeted Drug Delivery System – A General Review mishbahurroyan1, nazhifah; faadhilah rizki winarno, noor; ikbar nafis, sandy; valdino, yosafat; listyorini, niken
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Abstract

A targeted drug delivery system is a method for accurately administering the drug component to a targeted area of the body (such as an organ, cellular level, or subcellular level of a specific tissue), with the goal of avoiding the non-specific adverse effects linked to conventional drug delivery [1]. The presence of targeted drug delivery systems allows the reduction of cytotoxic drugs overall toxicity, reducing side effects, while improving the efficacy and selectivity of the drugs [2]. This strategy eventually leads to a decrease in the amount of medication required to achieve therapeutic efficacy. This method is especially beneficial in the treatment of several diseases, such as cancer, because unlike chemotherapy that often results in the death of all rapidly proliferating cells in order to eradicate tumor or cancerous cells, the majority of targeted therapy approaches work to treat cancer by disrupting particular proteins that aid in the growth and metastasis of tumors in the body [3]. This in turn improves therapy effectiveness and decreases undesirable side effects. Side effects occur as a result of cancer treatment including pain, fatigue, anemia, and hair, skin, and nail problems [4]. The field of study of nanorobotics is an emerging field of study with a revolutionary potential in various areas, including biomedicine [5]. The application of nanorobots in targeted drug delivery systems, especially as therapeutic agents carriers aids in the succession of targeted drug delivery systems. This journal discusses the topic of nanorobots in the Targeted Drug Delivery System, spotlighting its fabrication, applications, limitations, and future direction. In addition, general knowledge regarding nanorobots profile is fundamental in the comprehension of its applications, hence the provision of sections ‘Nanorobots profile’. Keywords: Targeted drug delivery, Nanorobots, Propulsion Type, Pharmaceutical drugs, Top-down and bottom-up approaches, Precision control, Biologics, Biocompatibility, Scalability
Speciation of Uranyl Compound at Different pH and Its Precipitation Characteristics in Nitric Acid michael santoso, samgar; gideon effendi, petrick; nugraha, tutun; listyorini, niken; adhi pratama, hendra
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Abstract

Uranyl is one of the most common chemical compounds that can be found in the waste of nuclear plants. As such, understanding the speciation of uranyl is important to ensure that the best waste treatment option is taken to purify the uranyl inside the waste, whether it is through flocculation, evaporation, or other waste treatment option. As most uranyl waste is either acidic or basic, different pH levels would be the basis of measurement for the speciation analysis of uranyl. Neutralizing the pH of the solution turns out to be the best method to separate uranyl compounds. Keywords: Speciation; pH; Uranyl; Solubility; Nitric Acid
Equipment and Experimental Design for Reynolds Number Analysis affan, muhammad; rizkiyanti putri, runita
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Abstract

Fluid flow properties is an important parameter in many industries, especially when designing an equipment. Fluid have three types of flow directions namely laminar, transitional or transient, and turbulent. Dimensionless number of Reynolds is the way to differentiate types of fluid flow based on a specific range of numbers. In this experiment, a simple yet effective equipment was design and built to produce laminar and turbulent flow. Moreover, the fluid flow also proven by the calculation of Reynolds number using known quantities from the experiment. Water at 25oC was chosen as the material for this experiment, but the other material can also be used in this equipment as long as it have low viscosity. The experiment was conducted five times and laminar flow produced from the equipment have Reynolds number of 1480, while turbulent flow showed much higher Reynolds number of 12760. Keywords: Fluid flow, Reynolds number, Laminar, Turbulent
Rancang Bangun Aplikasi Bank Sampah Berbasis Android raihan muhammad, alwi; supriyadi, dede
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Population growth and changes in people& consumption patterns lead to an increase in the volume, types, and characteristics of increasingly diverse waste. However, waste management so far has not been in accordance with environmentally sound waste management methods and techniques, resulting in negative impacts on public health and the environment. Waste Bank emerged as a local community initiative in an effort to participate in dealing with existing problems. The community- based 3R (Reduce, Reuse, and Recycle) waste management strategy, is able to change the image of most people towards waste that has no economic value into economic value. The Muda Karya Garbage Bank in RW 01 Pondok Cabe Ilir Village in all processes of data collection and writing of customer transactions, as well as monthly reports still uses customer passbooks and monthly reports, so transaction data storage is not well organized. As for the design, the researcher uses an object- based method with UML (Unified Method Language) tools. The Information System for the Young Waste Bank of Karya Pondok Cabe Ilir can be accessed by admins and customers. Admin can manage waste deposit transactions and withdrawals of customer balances. Customers can change profile data, view garbage deposit history, and balance withdrawal history. An android-based information system for the Karya Muda Pondok Cabe Ilir Garbage Bank that is connected to the internet network allows users to access information every day in order to assist in obtaining information on the Pondok Cabe Ilir Young Garbage Bank and make it easier for admins to manage waste deposit transactions and customer balance withdrawals. Keywords: Information System, Muda Karya Waste Bank, Waste Bank, Java, UML, Waterfall.
Deep Learning : Image Analysis and Transferable Knowledge in Computer Vision nurafi chandra, zahran; normalisa
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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This short paper gives an overview of deep learning in computer vision with a focus on information that can be used in other situations. It shows how neural networks, especially Convolutional Neural Networks (CNNs), can learn on their own and compares them to older computer vision methods. It looks at the history of evolution, including important events like the 2012 ImageNet Competition and ground-breaking networks like ResNet, VGGNet, AlexNet, and GoogLeNet. In the paper, real-life examples from healthcare, self-driving cars, and security are used to show how deep learning has changed picture analysis. Deep learning architectures, including CNNs and RNNs, are talked about in depth, including important parts like filters, stride, and activation functions. Transfer learning is presented as an important method, and its three types are grouped: fine-tuning, feature extraction, and domain adaptation. It is emphasized that transfer learning has many benefits, such as better generalization, faster convergence, and more efficient use of data. The conclusion stresses how important transfer learning and fine-tuning are for making computer vision apps better. It shows how important it is to understand deep learning models and how they can be used in real life, as well as how they affect accuracy, efficiency, and generalization in the field of computer vision. Keywords: Deep Learning, Computer Vision, Neural Network, Convolutional Neural Networks, ImageNet.
Advancement in computer vision: Unveiling the spectrum of possibilities naufal azzam, julian; normalisa
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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This article provides a comprehensive overview of the rapidly growing field of computer vision, tracing its historical origins, outlining fundamental principles, examining industry applications, addressing ethical challenges, and providing an outlook on future directions. Key topics include image processing techniques, feature extraction, pattern recognition, neural networks, use cases in areas such as healthcare and transportation, bias and privacy considerations, as well as new research in explainable artificial intelligence and multi-modal learning. This analysis outlines how computer vision is transforming human-computer interaction by improving visual perception and understanding while emphasizing the need for responsible and transparent development. Keywords: Computer Vision, Image Processing, Neural Network, Artificial Intelligence, Multi-modal Learning.
Product Development of Bir Pletok (Betawinese Traditional Drink) with Coffee and Vanilla Flavor for Dip Bag Application pricilia, glorya; noer fadhillah, hendry; nurkhoeriyati, tina
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
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Bir Pletok is a Betawinese traditional drink made of spices such as ginger, secang wood, cinnamon, pandan leaves, lime leaves, cloves, lemongrass, star anise, nutmeg, cardamom, and mesoyi wood. Due to its spice and herbs ingredients, this Betawinese traditional drink potentially has health benefits. However, as one of the non-objects of Indonesian cultural heritage, this beverage needs to be preserved its existence. Thus, this research aims to determine the optimal formulation of Bir Pletok based on consumer behavior and preference market assessment following consumer acceptance and quality (sensory, microbiology, and antioxidant activity). The market assessment, done through online questionnaires among DKI Jakarta residents, revealed that respondents who prefer Bir Pletok with coffee and prefer to drink traditional drinks that are easy to consume comprised the highest percentage. The percentage of DPPH inhibition of selected treatment 3 (T3) (8.1% ginger, 0.2% vanilla, and 6.2% coffee) was significantly higher, and the IC50 was significantly lower than the control. These results imply that T3 had a higher antioxidant activity than the control. Both control and T3 met the requirements of the total number of microbes and yeast molds referring to SNI regarding herbs and spices. In addition, the pH value results show that Bir Pletok averaged below the value of around 5.0. Keywords: Antioxidant activity, Bir Pletok, Consumer Behavior and Perceptions, DPPH, Sensory Analysis, Total Plate Count.