Admin Website UNIKOM

Tag: UNIKOM Research

  • Assessing the Effectiveness of Notebar, ConductorBot, and Sub-ConductorBot Methods in Training Novice Angklung Players

    Authors: Bella Hardiyana ; Adam Mukharil Bachtiar ; Kazuki Sugita ; Diana Effendi ; Beri Noviansyah ; Prarinya Siritanawan ; Wen Gu ; Koichi Ota ; Shinobu Hasegawa

    DOI: 10.1109/INCITEST64888.2024.11121467

    Abstract

    This study explores the effectiveness of three distinct angklung training methods: Notebar (NB), ConductorBot (CB), and ConductorBot with Sub-Conductor (SC), specifically targeted towards novice angklung players. The objective was to assess the impact of each method on participant performance, as measured by the difference between Pre-test and Post-test scores. The study’s aims are threefold: (1) to determine the most effective method for enhancing novice players’ skills, (2) to assess whether these methods can provide a sufficient alternative to human conductors during practice, and (3) to explore the potential of these tools in both home and school practice environments. Through Pre-test and Post-test performance comparisons, effect size analysis using Cohen’s d indicated medium impacts across all methods, with SC demonstrating the highest effect size (0.645), followed by NB (0.622) and CB (0.606). The Kruskal-Wallis test, however, revealed no statistically significant differences between the methods, suggesting that all three are similarly effective in improving performance. Participant feedback highlighted areas for improvement in usability, timing synchronization, and fluidity of movement, which are crucial for novice players as they develop foundational skills. These insights informed recommendations for future work, including the refinement of method usability, the enhancement of robotic movement fluidity, adjustments to timing for better synchronization, and the exploration of hybrid methods. This study underscores the importance of both overall method effectiveness and the need for personalized approaches to optimize learning outcomes, particularly for novice angklung players. © 2024 IEEE.

    Author keywords

    angklung; conductorbot; notebar; novice players; sub-conductor; training methods

    Indexed keywords

    Engineering controlled terms

    Learning systems; Robotics

    Engineering uncontrolled terms

    Angklung; Conductorbot; Effect size; Notebar; Novice player; Performance; Post test; Sub-conductor; Test performance; Training methods

    Engineering main heading

    Personnel training

    This article can be accessed at https://www.scopus.com/pages/publications/105015862069

  • Digital Encyclopedia: The Product of the Integration between Islam and Science

    Authors: Buchori Muslim; Nahadi; Sjaeful Anwar; Heli Siti Halimatul Munawaroh; Neng Sri Nuraeni; Tatan Tawami

    DOI: 10.1109/INCITEST64888.2024.11121463

    Abstract

    Digital encyclopedia is produced from the integration of Islam with science. Integration between religious knowledge and general knowledge or vice versa seeks to provide information that all knowledge comes from God, while the content and development of both are a form of worship to the creator. The presence of a dichotomy between faith education (religious sciences) and general education (science) makes it interesting to study in more depth. This causes the integration between scientific disciplines to be lost. In fact, today’s educational products tend to be oriented towards intellectual development, but are not balanced with spiritual, emotional, social and moral aspects. The aim of this research is to produce a digital encyclopedia based on the integration of Islam and science. The research method used in this research is descriptive with the Design and Development model popularized by Allesi and Trollip. The instruments used in this research are the alpha test instrument and the beta test instrument. Data analysis is carried out by simplifying the data into a form that is easier to read and interpret. The research results show that religion and science need each other and do not conflict. Because, any knowledge does not stand alone (self-sufficient). The presence of the digital encyclopedia brings the message that knowledge can be enjoyed by anyone, is no longer limited by time and space, and is more interesting. © 2024 IEEE.

    Author keywords

    dichotomy; digital encyclopedia; islam and science; islamic integration; learning media

    Indexed keywords

    Engineering uncontrolled terms

    Dichotomy; Digital Encyclopedias; General education; General knowledge; Islam and (religious science) and general education; Islamic integration; Learning media; Science education; Scientific discipline; Test instruments

    Engineering main heading

    Integration

    This article can be accessed at https://www.scopus.com/pages/publications/105015889788

  • Financial Statement Manipulation in Developing National Banks

    Authors: Eddy Soeryanto Soegoto, Senny Luckyardi, Euis Neni Hayati, Agis Abhi Rafdhi, Dina Oktafiani

    DOI: 10.15549/jeecar.v9i5.1051

    Abstract

    A green supply chain is used to consider the environmental effects of all products, including environmental influences originating from goods/products and the product manufacturing process from raw materials to finished products. This study aims to perform a bibliometric analysis on the green supply chain topic by combining mapping analysis using VOSviewer software. In collecting the data, we used a quantitative bibliometric approach. Meanwhile, a descriptive method is used to obtain the results from the data collected. The data were retrieved from a Google Scholar search. We found 996 articles published in the 2012–2022 period from the search results. The results show that research on the green supply chain topic in 2012-2016 has not been widely carried out, and there has been an increase in 2017-2020. However, research on the green supply chain topic declined in 2021-2022. In conclusion, this study shows the importance of conducting bibliometric analysis, particularly on the green supply chain topic. This research is expected to be a reference for further research in conducting and determining the research theme. © 2022, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author keywords

    bibliometric; environmental effects; Green supply chain; VOSviewer

    This article can be accessed at https://www.scopus.com/pages/publications/85141160192

  • Simulation Of Bioeconomy System Using Agent-Based Model in The Case of Smart, Green, and Conventional Farming

    Simulation Of Bioeconomy System Using Agent-Based Model in The Case of Smart, Green, and Conventional Farming

    Viridi S. ; Premadi P. ; Aditiawati P. ; Maqdir E.S. ; Suheri T. ; Halid J. ; Sari K.N. ; Pasaribu U.S. ; Sudaryani N.M. ; Latifah N.

    DOI: 10.1088/1755-1315/230/1/012118

    Abstract

    Using agent-based model (ABM) interaction between agents in the form of weather (temperature and precipitation), soil, and plant for different farming system is simulated. Three farming system: conventional farming (CF), organic farming (OF), smart farming (SF) are chosen, where each has its own characteristics. Age of plant τ max = 30 day and lag time between two successive planting τ lag= 10 day are used for ten years simulation. In each year there are nine replanting process. It is observed that CF and OF are very dependent to the weather, while SF is not. This will make the last farming system very superior, constant and predicted results, compared to the other two based on the proposed model, especially how every system components influence size of the plant as assumed. © 2019 Institute of Physics Publishing. All rights reserved.

    Indexed keywords:

    Engineering controlled terms

    Autonomous agents; Simulation platform

    Engineering uncontrolled terms

    Agent-based model; Farming system; Lag-time; Organic farming; System components

    Engineering main heading

    Computational methods

    This article can be accessed at: https://www.scopus.com/pages/publications/85062484124

  • Design And Build A Water Quality Measurement System With Multi Depths Using The Rs-485 Protocol Based on Android Smartphone

    Design And Build A Water Quality Measurement System With Multi Depths Using The Rs-485 Protocol Based on Android Smartphone

    Author: Anadita Rizti Oktavia ; Jana Utama

    DOI: 10.1063/5.0176606

    Abstract

    The management of water resources, especially lake or reservoir ecosystems, must be considered. What is currently happening is that the measurement of water quality in aquaculture is usually measured only on the surface of the water, because it will not always be above the water surface, so it is necessary to design a sensor system that can measure air conditions at various certain depths. System design sensors for physical and chemical air quality at multiple depths, where the sensors used are temperature sensors and pH sensors. To measure the depth of this system utilizes a pulley system which is inserted a rotary encoder. Where from the length of the rope being pulled/stretched it can be determined how many meters the depth is measured. In addition, the data obtained will be sent via the RS-485 protocol and saved to the Data Logger and this system is also equipped with a measurement location. All information will be accessible using an Android Smartphone using a local server via Bluetooth in the application that has been provided. The test results of the device consisting of a temperature sensor have an error of 1%, a pH sensor of 3.1%, and depth measurements using a rotary encoder have an error of 0.77%. Direct testing was carried out at 3 different locations and it was found that the difference in air depth affects the temperature and pH of the air where the deeper the air, the lower the temperature. Changes in the pH value to the depth of the air also have an effect because when you get a lot of heat intensity from sunlight, the surface temperature will increase, so the solubility of carbon dioxide will decrease so that the pH will also increase and the air is alkaline. © 2023 Author(s).


    This article can be accessed at: https://www.scopus.com/pages/publications/85177584618?

  • Development of Innovative Model for Waste Management System Using Internet of Things (IoT) and Machine Learning

    Development of Innovative Model for Waste Management System Using Internet of Things (IoT) and Machine Learning

    Author: Dimas Akmarul Putera ; Ansarullah Lawi ; Filmada Ocky Saputra ; Sri Handayani ; Yun Arifathu Fatimahl ; Ivan Muhammad Reza ; Sholikun ; Zainal Arifin Hasibuan ; Alvendo Wahyu Aranski

    DOI: 10.1109/ICIC64337.2024.10957619

    Abstract

    Effective and efficient waste management system is a significant challenge in coastal areas. This research proposes the development of innovative model for waste management system using IoT and machine learning. The system consists of hardware such as cameras and image sensors installed in coastal locations to monitor the volume and types of waste. The image data collected from these devices is stored and analyzed using image processing techniques. The YOLO (You Only Look Once) algorithm is used to identify and classify the types of waste. The identified data is then used to train a machine learning model, which allows for the prediction of future waste volume and types. These predictions are used to optimize waste collection schedules, reduce operational costs, plan the types of waste processing, and minimize environmental impact. With this holistic approach, the system is expected to enhance the efficiency and sustainability of waste management, providing an innovative solution to waste management issues in coastal areas. © 2024 IEEE.

    Author keywords

    Environment; Image Processing; IoT; Machine Learning; Waste Management


    This article can be accessed at: https://www.scopus.com/pages/publications/105004578932?

  • Enhancing IOT Communication Efficacy in Fishery Domain: Edge Computing Perspective

    Enhancing IOT Communication Efficacy in Fishery Domain: Edge Computing Perspective

    Author: Yusrila Kerlooza ; Sepryan Ismail Chandra ; Adam Mukharil Bachtiar

    DOI: –

    Abstract

    The progressively prevalent utilization of the internet of things (IoT) across diverse sectors, including the aquaculture industry, has afforded considerable ease in monitoring pond conditions. This phenomenon triggered a problem often faced by small-scale fish farmers: the cost of communication from the IoT device to the server. Communication costs are affected by the frequency of data transmission and the size of the data sent. The farmers’ operational costs will be manageable if these two things are adequately regulated. This study aims to reduce communication costs using the edge computing paradigm. This study served as a comparison between typical IoT architecture and edge computing-applied IoT. The timing of data transmission and the data size were determined based on when there was a spike in the value of the control parameter for the condition of the fishpond, which is potentially harmful to the fish. In this study, the sent data can be reduced to 0.95% of the total pond temperature data and 25% of the water pH data. In conclusion, this study significantly optimizes and reduces the data transmission requirement, especially in the IoT fisheries domain. © School of Engineering, Taylor’s University.

    Author keywords

    Aquaculture industry; Communication architecture; Edge computing; Fishery; IoT

    This article can be accessed at: https://www.scopus.com/pages/publications/105002330604?

  • Effect of Population Density on Water Quality and Economic Impact

    Effect of Population Density on Water Quality and Economic Impact

    Author: Poni Sukaesih Kurniati, Anisa Ega Oktavia, Rizky Jumansyah, Raiswati Untsa Mega, Muhammad Sulthan Pasha, Isma Widiaty

    Abstract

    The purpose of this study is to see the effect of population density on the quality of water clarity and the economic impact. The method used in this study is sampling method at three sample locations. The results of this study indicate that population density can affect the water quality and economy of the surrounding community. From this result, it can be seen from consumptive community activities that can increase household waste that can affect water quality. This data is expected to be a solution to reduce water pollution which can affect water quality in the community and improve the economy of the community. © 2019 University of Kuwait. All rights reserved.

    Keywords: Economic impact; Education; Population density; Water quality

    This article can be accessed at https://www.scopus.com/pages/publications/85074555479

  • Air Pollution Dispersion in Urban Street

    Air Pollution Dispersion in Urban Street

    Author: Lia Warlina, Assyfa Octaviyani Istiqomah, Salsabila Suci Ramadhani, Putri Amirah, Cep Ubad Abdullah

    Abstract

    The purpose of this study is to determine the level of air pollution due to traffic and the amount of CO, CO2, and water quality monitors issued by vehicles in the city of Bandung. To measure the dispersion of air pollution, we measure at different altitude points in the same location. One is measured on the ground, and another is measured at an altitude of approximately 35 meters. For comparison, we tested measurements before and after rain. The results show that the basic and above concentrations are different. Even though the conditions are rainy, it still shows similar results, if at the bottom of the soil the concentration is higher than the concentration of a height of 35m. That happened because the most polluted sources of air pollution are at point 0 M, because the biggest source of air pollution in big cities like Bandung is motorcycle fumes. Y concentration is lower than that at bottom. Therefore, this study can provide information about the existence of pollution dispersion processes that can be a reference when calculating the actual situation. © 2019 University of Kuwait. All rights reserved.

    Keywords: Air quality monitor; CO; CO2 ; Education; Pollution

    This article can be accessed at https://www.scopus.com/pages/publications/85074588241

  • Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Author: Finandhita A., Maulana H.

    DOI: 10.1088/1757-899X/662/4/042023

    Abstract

    The purpose of this study is to developing smart environment systems model for optimization in agriculture is to monitor soil, water, pollution levels, and weather conditions in farming. The monitoring process is carried out to increase the level of agricultural productivity. The model can be used to assist farmers in the decision-making process to cultivate the land and determine the types of commodities to be planted. The method used to develop the model is a descriptive qualitative. The result of the research is a model. Poor pollution levels and relatively erratic weather can worsen the productivity of agricultural land. These conditions make it difficult for farmers to determine the right seeds and fertilizers to use, as well as the right time to start the planting period. Thus the model is expected to support farmers in increasing the quantity and quality of their agricultural products. The model is developed as a part of the implementation of the smart city and internet of things (IoT) concepts which specialize in creating smart environments in agriculture. © 2019 IOP Publishing Ltd. All rights reserved.

    Keywords: Decision making; Internet of things; Productivity; Regional planning; Water pollution

    This article can be accessed at https://www.scopus.com/pages/publications/85075858239