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Anwar Ilmar Ramadhan
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Journal of Applied Sciences and Advanced Technology
Published by Universitas Muhammadiyah Jakarta
ISSN : -     EISSN : 26226553     DOI : 10.24853/jasat
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering
Journal of Applied Sciences and Advanced Technology (JASAT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of applied sciences, advanced technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JASAT follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology" : 5 Documents clear
Optimization of IoT-Based Waste Sorting Algorithms in a Recycling System with a Capacity of 5 Kg Effendi, Riki; Ramadhan, Anwar Ilmar; Dermawan, Erwin; Qadri, Munzir; Hendra, Franka
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.8.2.35-42

Abstract

This study aims to develop and optimize an automatic waste sorting system based on the Internet of Things (IoT) with a 5 kg capacity. The Convolutional Neural Network (CNN) algorithm is used for waste type classification, while optimization is performed using Particle Swarm Optimization (PSO). The system is designed to recognize and sort four main types of waste: plastic, paper, metal, and glass. System performance is evaluated based on three main parameters: sorting accuracy, processing time, and energy consumption. The results show that algorithm optimization successfully increased the average sorting accuracy from 82.5% to 94.8%. Additionally, the waste processing time significantly decreased from 3.2 seconds to 1.8 seconds after optimization, indicating improved operational efficiency of the system. In terms of energy consumption, there was a reduction from 15.6 Joules to 9.4 Joules per sorting cycle, making the system more energy-efficient and environmentally friendly. The conclusion of this research indicates that the CNN algorithm optimized with PSO can enhance the accuracy, efficiency, and energy consumption of the IoT-based automatic waste sorting system. The implementation of this system is suitable for application in small-scale industrial or household sectors to effectively support waste recycling programs. Further research could focus on testing larger capacities and more complex environmental conditions.
Nickel Electroplating on 3D Printed Polylactic Acid (PLA) for Hardness Enhancement Ragaventrand, Ramses Maur; Saptaji, Kushendarsyah; Setiawan, Iwan; Handayani, Murni; Fernandez, Nikolas Krisma Hadi
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.8.2.27-34

Abstract

Electroplating is a process that uses electric current to deposit a layer of metal onto the surface of a conductive material, enhancing its properties such as corrosion resistance, electrical conductivity, and mechanical strength. This study investigates the process of nickel electroplating on 3D-printed polylactic acid (PLA) substrates, focusing on the efficiency and quality of the nickel coatings achieved through electroplating techniques. The methodology encompasses several stages, starting with the design and 3D printing of PLA specimens. Following this, the preparation of the electroplating setup is meticulously carried out, ensuring optimal conditions for the electroplating process. The quality of the nickel coating is then evaluated through a series of tests to assess its mechanical and electrical properties. The key findings from this research indicate that the electroplating process effectively deposits nickel onto the PLA substrates. This deposition significantly enhances the mechanical strength and electrical conductivity of the PLA specimens. The study's results suggest that nickel electroplating on PLA can be a viable method for improving the material properties of 3D-printed parts. This advancement not only contributes to the development of cost-effective and sustainable metal coating techniques for polymer-based materials but also has the potential to broaden the application scope of 3D-printed parts in various fields of engineering and technology. Such improvements could be particularly beneficial in industries requiring enhanced material performance, such as electronics, automotive, and aerospace sectors.
SIMULATION OF FIRE AND EXPLOSION RISK ASSESSMENT MODELING ON CARBON DISULFIDE (CS2) WASTE GAS RECOVERY PLANT ADSORBER TANK Nasta Ina Robayasa; Tri Yuni Hendrawati; Athiek Sri Redjeki
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

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

Abstract

Carbon Disulfide (CS2) is a colorless liquid that is flammable and toxic. In this study, a process safety analysis was conducted at a factory (Carbon Adsorption Plant) with the aim of determining the severity of the impact in the event of a fire, explosion, and environmental pollution or exposure to toxic gases as a result of explosions or system failures from the Adsorber tank in a plant. In this discussion, process safety analysis methods in a plant will be carried out, including QRA (Quantitative Risk Assessment), namely FERA (Fire and Explosion Risk Assessment). The simulation results of the Fire and Explosion modeling on the Adsorber tank (Carbon Adsorption Plant) obtained the fire radiation energy (Radiation Level kW/m2) with the highest value, which is SEP = 46.98 kW/m2. The maximum distance of the fire effect (FireBall) is R = 132.7 m, and the radial range of the fire effect (FireBall) that can cause immediate fatality to humans is Radius = 0 – 24.3 m. The Side-On Blast Overpressure due to the explosion (Bar) has a maximum value of Ps = 19.71 Bar. The maximum distance of the Side-On Blast Overpressure effect is Radius = 324.8 m. The distance range of the explosion effect (Side-On Blast Overpressure) that can cause immediate fatality to humans and potential fatal damage to assets/buildings (Damage Rupture) is Radius = 219.3 – 349.2 m with Ps = 0.5 – 19.71 Bar. The concentration of toxic gas and the exposure distance of toxic gas from CS2 gas (Dose Concentration and Distance) have a maximum value of C = 984,201.2 ppm. The range of the radius from the effects of Fire, Explosion and Toxic Gas Exposure (Toxic Gas Dispersion) that safe for operations activity is Radius > 611.9 m (west side) and > 99.5 m (east side).
OPTIMIZING OPERATING PARAMETERS AND POLYACRYLIC ACID ANTISCALANT DOSAGE IN A REVERSE OSMOSIS UNIT M Khoirul Ummam; Irfan Purnawan; Nurul Hidayati Fithriyah
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

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Abstract

Reverse osmosis (RO) technology is one of the most widely used and highly effective filtration technologies. RO membranes generally act as barriers to dissolved salts and inorganic compounds, as well as organic molecules witmolecular weights greater than 100 angstroms. Several factors influence the rate of mineral scale formation on the surface of RO membranes, including lower temperatures, which reduce mineral scale solubility, and higher feedwater conductivity or Total Dissolved Solids (TDS), which increase the solubility of slightly soluble salts. This phenomenon is caused by increased ionic interference during the nucleation and crystallization processes of various types of scale. Mineral scaling remains a critical challenge in reverse osmosis (RO) systems, limiting recovery and increasing operational costs. This study optimizes polyacrylic acid (PAA) antiscalant dosage and system recovery in a 120 m³/h industrial BWRO (brackish water reverse osmosis) plant treating water with 20–40 ppm Ca-hardness. Dosages of 3–13 ppm and recoveries of 49–75% were evaluated based on normalized permeate flow (NPF) decline and feed pressure increase, targeting <10% performance loss. Results show that a dosage of 11–13 ppm at 74–75% recovery maintains membrane performance with less than 6.5% NPF decline and minimal pressure increase (below 1.64%) over a production volume of 6,500 m3. Statistical validation (R² > 0.96, p < 0.05) confirms the significance of these parameters, while Hyd-RO-Dose simulations support calcite saturation control. These findings provide a practical, validated framework for optimizing RO operation by enhancing efficiency and reducing fouling, as well as antiscalant dosing in industrial settings.
SYNTHESIS OF ECOENZYMES FROM ORANGE AND PINEAPPLE PEEL WASTE WITH VARIABLE FERMENTATION TIME TO YIELD AS ORGANIC FERTILIZER Winarni; Athiek Sri Redjeki; Tri Yuni Hendrawati
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

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

Abstract

Most of the waste currently available is organic waste originating from household activities in the form of food scraps, seed shells from fruit and vegetables, and fruit waste. The accumulation of organic waste triggers natural decomposition, releasing methane (CH4) gas. This gas not only contributes to increased greenhouse gas levels in the atmosphere, but its accumulation under landfills also has the potential to cause explosions. Organic waste from fruit and vegetables can be processed into ecoenzymes through a fermentation process. Ecoenzymes have many uses, including fertilizer, pest control, antiseptic soap, and household cleaners. The purpose of this research was to determine the effect of time. The resulting ecoenzymes will be used as organic fertilizer. A quantity of orange peel and pineapple peel of 150 grams, respectively, was added to 100 grams of finely ground palm sugar and 1000 ml of water, then fermented for 0, 7, 14, 21, 28, 35, 42, 49, and 56 days. The fermentation results were then measured for pH and organoleptic tests were carried out in the form of visual color and aroma and tested for nitrogen (N), diphosphorus pentoxide (P2Os) and dipotassium oxide (K2O) content. The ecoenzyme obtained was then added with ash to increase the levels of N, P2O5, K2O. Based on the research results, the best time was 56 days and the best raw material ratio was 1:3:10 producing an ecoenzyme that was cloudy brown in color and had a sour aroma and a pH of 3.11. The total N, P2O5, and K2O content of the ecoenzyme produced from the fermentation process was 0.13%. The liquid organic fertilizer produced from the ecoenzyme with the addition of ash had a pH of 6,3. After adding ash, the N, P2O5, K2O content increased to 1.6%. This result still does not meet the standards of the Minister of Agriculture of the Republic of Indonesia which requires a minimum N, P2O5, and K2O content of 2%.

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