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Herlambang Setiadi
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Faculty of Advanced Technology and Multidiscipline, Gedung Kuliah Bersama, Kampus C Mulyorejo, Universitas Airlangga Jl. Dr. Ir. H. Soekarno, Surabaya, East Java 60115, Indonesia
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Journal of Advanced Technology and Multidiscipline (JATM)
Published by Universitas Airlangga
ISSN : -     EISSN : 29646162     DOI : https://doi.org/10.20473/jatm.v1i2.40293
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Journal of Advanced Technology and Multidiscipline (JATM) aims to explore global knowledge on sciences, information, and advanced technology. JATM provides a place for researchers, engineers, and scientists around the world to build research connections and collaborations as well as sharing knowledge on how addressing solutions to the (real world) problems through discoveries on cutting edge of science and technology. We encourage researchers to submit research in the following fields: ● Power System ● Control Systems ● Renewable Energy Technology ● Advanced Manufacturing ● Optimization & System Engineering ● Human Factors & Ergonomics ● Supply Chain & Logistic Management ● Waste Processing/ Waste Treatment ● Pollutant Removal ● Applied Chemistry ● Nano Medicine ● Sensor ● Artificial Intelligence ● Health Informatics ● Robotics & Mechatronics ● Computer Vision ● Data mining ● Human Computer Interaction ● Software Engineering ● Deep Learning ● Internet Of Things ● Natural Language Processing ● Learning Analytics & technologies ● Machine learning
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 38 Documents
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Grid Impact Study of Lombok Power System Due to the Integration of Solar Power Plant Azhar, Fakhrudin; Jufri, Fauzan Hanif; Garniwa, Iwa
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 1 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i1.71680

Abstract

In recent years, the response to climate change and the need for sustainable energy have driven the global energy transition towards renewable energy, particularly Solar Power Plants (SPP). As a tropical archipelagic country with abundant solar energy potential, Indonesia is increasingly committed to integrating renewable energy into the national electricity system. However, integrating SPP also has several drawbacks to the electrical system. For instance, there is an absence of inertia in SPP because the SPP does not contain rotating machines, and the intermittency is due to SPP power production being highly dependent on the availability of sun irradiance. This research analyzes the effects of SPP penetration on the existing electrical system. Newton Raphson load flow, three-phase line-to-ground short circuit, and transient disturbance are used to investigate the impact of SPP penetration. The results show that the SPP penetration enhances the voltage steady state profile due to the additional active power from SPP. Furthermore, there are no increasing short circuits due to the characteristic of an inverter with no impedance. In addition, the transient response has an effect as SPP has no inertia. Hence, the system tends to experience swings in conditions.
Hybrid Silver Nanoparticles–Purple Sweet Potato (Ipomoea batatas L.) Peels as a Prospective Adsorbent for Bromophenol Blue Removal Saputra, Mirza Ardella; Semendawai, Bastoni; Firmansyah, Mochamad Lutfi
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 1 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i1.71701

Abstract

Water pollution caused by dye effluents has become a global problem, for example in the textile, paper, and food industries. One common type of dye waste is bromophenol blue, which is considered to pose a low level of danger, but frequent exposure to its waste can cause skin irritation. This research was conducted using silver nanoparticles synthesized with purple sweet potato peels, which are rich in anthocyanin content so that it can be used as an active reducing agent and produce an adsorbent used for dye waste removal. Combination of biogenic-chemical method was chosen due to its simplicity, cost-effectiveness, and lower toxicity. Characterization of the obtained nanomaterials included UV-Vis spectroscopy, FTIR, SEM-EDX, and XRD. The results showed that the average crystal size of pure IBpe and the three IBpe-AgNPs were 7.09 nm, 8.68 nm, and 13.99 nm with an FCC crystal shape. The average particle sizes of the three IBpe-AgNPs were 82.76 nm, 85.72 nm, and 99.78 nm, with an almost spherical shape. The research found that IBpe-AgNP 1:9 demonstrated the highest adsorption efficiency of 77.24% compared to the other samples. In terms of desorption efficiency, the IBpe-AgNP 1:3 sample showed the highest value at 27.54% compared to the other three samples. Furthermore, the reuse test revealed that the IBpe-AgNP 1:9 sample had the highest reuse value at 27.02% compared to the other samples, showing the same trend as the first adsorption.
Electrochemical Sensor and Biosensor Detection of Ethanol in Beverage Samples: Irkham, Irkham; Zalfadilah, Faizal Nur; Zein, Muhammad Ihda Hamlu Liwaissunati; Khaerani, Wulan; Zakiyyah, Salma Nur; Hartati, Yeni Wahyuni
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 1 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i1.71985

Abstract

Ethanol detection is critical in the beverage industry, where it is essential to monitor alcohol concentrations for quality control and compliance with regulatory standards. Traditional analytical methods, such as gas chromatography and distillation, offer accuracy but are often labor-intensive, time-consuming, and require sophisticated equipment. In contrast, electrochemical sensors and biosensors have emerged as promising alternatives due to their rapid response, portability, cost-effectiveness, and potential for real-time monitoring. Electrochemical sensors, particularly those enhanced with metal nanoparticles like platinum, palladium, or gold, have shown significant improvements in sensitivity, selectivity, and response time. These sensors offer the advantage of miniaturization, making them ideal for on-site analysis, although issues such as electrode stability, susceptibility to interference, and long-term reliability remain. On the other hand, biosensors, which leverage biorecognition elements like alcohol dehydrogenase (ADH) or alcohol oxidase, provide high specificity for ethanol, reducing interference from other compounds commonly found in beverage samples. Recent advancements in biosensor technology have focused on improving sensor stability, enzyme immobilization techniques, and reducing production costs. While biosensors offer high selectivity and sensitivity, they may still face challenges related to enzyme denaturation and environmental factors such as temperature and pH fluctuations. Both electrochemical sensors and biosensors are continuously evolving, with recent developments including the use of nanomaterials and novel biorecognition elements to enhance performance. This review will explore recent advances in electrochemical sensors and biosensors for ethanol detection in beverage samples, highlighting their potential, challenges, and future directions in this field.
A PID - Ziegler Nichols Method for Load Frequency Control Anggraini, Dessy Dwi; Palaloi, Sudirman; Maharani, Markies Diana Desy; Sularso, Adhimas Herjuno; Manurung, Rosa Tiarmin; Habibi, Rizky Maulana Iqwan; Aditya, Putra Yoga; Harsito, Catur
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.69482

Abstract

Dynamic load variations significantly impact the stability of system frequency, necessitating the implementation of Load Frequency Control (LFC) to maintain frequency stability. In this study, a PID-based control approach is applied to LFC modeling using the Ziegler-Nichols tuning method through the Reaction Curve Method. The test was conducted using the difference of load of 1 p.u. Using these parameters, the optimal PID controller was configured with Kp = 2.97, Ki = 0.78, and Kd = 2.27. The evaluation demonstrated that the system achieved a settling time of 17 seconds and a maximum overshoot of 65.35 Hz. Under various load scenarios, including increasing, decreasing, and fluctuating loads, the LFC system equipped with a PID controller based on the Ziegler-Nichols Reaction Curve Method effectively maintained frequency stability despite significant load changes. These findings confirm that the proposed approach is reliable in preserving system performance under dynamic load conditions.
Evaluating Cognitive Load of a Laundry Service Worker: A Subjective Workload Assessment Technique Approach Wulandari, Chandrawati Putri; Vincent, Adriel Maruli; Hassani, Gilang Fadly; Sunar, Muhammad Akbar; Aldhama, Shofa Aulia; Mufidah, Ilma
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.70952

Abstract

Laundry service workers perform repetitive and physically demanding tasks, often under time constraints, leading to increased cognitive load. Cognitive load assessment is crucial for understanding workload distribution and optimizing task allocation in labor-intensive industries. This study evaluates the cognitive load of laundry service workers using the Subjective Workload Assessment Technique (SWAT). The analysis focuses on two primary phases: scale development and event scoring. The scale development phase involved rating three workload dimensions: time pressure, mental effort, and stress level. The event scoring phase analyzed workload variations across tasks and workers. The findings indicate that ironing is the most cognitively demanding task, followed by washing and moving to the dryer, while storing and customer retrieval generally impose lower workloads. Notably, differences in workload perception among workers highlight the need for task redistribution, process optimization, and potential ergonomic interventions. This study provides valuable insights into improving worker efficiency and well-being in service industries.
Design of an Unmanned Surface Vehicle Based on Pixhawk Autopilot for Water Sampling Masyhur, Abdullah Al; Setiawan, Muhammad Aldo; Achmad, Achmad; As’ad, Muhammad Ridwan
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.71651

Abstract

Water is an important element in the life of living creatures, both for consumption and other purposes. Therefore clean water is crucial for human health and environmental protection. To determine the quality of water, whether it is safe for consumption or not, testing in a laboratory is required by testing the chemical elements and physical elements. This is because there are differences in determining whether water is suitable for use or not, the depth of the water also influences the differences in water quality, therefore we need the process of taking the water to be tested. Currently this process is carried out manually using manned vessels, this causes inefficiencies if carried out continuously. To overcome this problem, we need a tool that can collect water automatically. Unmanned Surface Vehicle (USV) is a vehicle that can walk on the surface of the water without passengers and can run manually using a Radio Control (RC) transmitter or automatically using the Pixhawk autopilot and Global Positioning System (GPS) as a localization system. This research aims to design an Unmanned Surface Vehicle (USV) that can take water samples automatically using the Pixhawk autopilot at a certain point and at a certain depth.
Sentiment and Social Network Analysis of X Social Media on the Implementation of the Merdeka Belajar Curriculum in Indonesia Herra, Nafisahika Putri; Ramadhani, Olga Kabsyah; Mumtaz, Nabila; Zakaria, Ditha Meiga; Maryamah
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.71938

Abstract

Indonesian Ministry of Education, Culture, Research, and Technology introduced the Merdeka Curriculum to overcome post-pandemics COVID-19 challenges with a transformative education policy. However, the effectiveness of education policy requires the contribution of public opinion. Exploring sentiment public opinions, and structural dimensions of interaction or network behavior are needed. This paper proposed sentiment and social network analysis of X social media on the implementation of the Merdeka Curriculum in Indonesia. The methodology consists of preprocessing, vectorizer with TF-IDF, sentiment and social network analysis. Sentiment classification was performed using four machine learning models, Support Vector Machine (SVM), Random Forest, XGBoost, and LightGBM. Based on the experimental results, Random Forest achieved the best performance with 70% accuracy. The analysis revealed that public sentiment was dominated by neutral and negative responses, indicating persistent criticism and limited support throughout the curriculum’s rollout. Social network analysis identified central accounts in the discourse, including @nadiemmakarim and @Kemdikbud_RI, while other accounts, for example @adekumala, served as key bridges within the network despite receiving fewer mentions. This paper integrates a data-driven approach to understanding public opinion and shows influence dynamics on social media providing valuable insights for policy communication and refinement in the digital era.
A Lean Warehousing Approach for Waste Reduction: A Case-Based Analysis Using VSM and VALSAT Kartika Nur 'Anisa'; Desak Made Adya Pramesti
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.76518

Abstract

This study aims to identify and reduce waste in the loading and unloading processes at PT XYZ’s motorcycle distribution warehouse to improve operational efficiency. A Lean Warehousing approach was adopted, beginning with Value Stream Mapping (VSM) to visualize the current workflow and identify non-value-added activities. Waste types were quantified using the Waste Assessment Model (WAM), and improvement priorities were determined through the VALSAT tool. Further analysis with Process Activity Mapping provided a detailed evaluation of each process step, facilitating the elimination of inefficiencies. The assessment revealed that the most dominant wastes were motion (22.43%), waiting (17.70%), and processing waste (12.87%). To address these issues, root cause analysis was conducted using the Why-Why method, followed by the development of corrective actions based on 5W1H framework. Improvement strategies included workflow optimization and the implementation of standardized operational procedures. Unloading time was reduced by 22.12% (from 104 to 81 minutes), and loading time decreased by 37.65% (from 85 to 53 minutes). Moreover, Process Cycle Efficiency (PCE) significantly improved, i.e. 28.40% for unloading and 17.81% for loading. The study confirms that the structured application of lean tools can effectively eliminate non-value-added activities, improve process flow, and enhance overall warehouse performance. These findings provide practical insights for warehouse and logistics managers in implementing lean-based improvements to achieve higher operational efficiency.

Page 4 of 4 | Total Record : 38

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