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  • Computation Offloading Quality of Service Improvement with Multi Layer Approach Based on Pure Edge Sim Simulator

    Authors: Agus Mulyana; Sri Wahjuni; Taufik Djatna; Heru Sukoco

    DOI: 10.1109/INCITEST59455.2023.10396945

    Abstract

    Internet of Things (IoT) devices possess limited resources, encompassing computing speed of microcontrollers, memory capacity, battery energy sources, and diverse computational requirements. The prevalent system architecture comprises two tiers, wherein IoT devices connect to the cloud to transmit data or receive commands, relying on a stable internet connection. However, in environments with restricted internet coverage and stability, this situation can become problematic, potentially leading to a reduction in Quality of Service (QoS). A viable solution to address this challenge involves the utilization of computation offloading techniques. This approach involves recognizing computation characteristics through specific rules, determining whether computations should take place at the IoT device layer, the edge computing layer, or within cloud computing. By implementing a multilayer three-tier scheme, the computation offloading process can be effectively optimized. Empirical testing conducted using the Pure Edge Sim simulator demonstrates that the amalgamation of IoT, Edge, and Cloud layers yields the most favorable outcomes for enhancing QoS. © 2023 IEEE.

    Author keywords

    computation offloading; internet of things; multilayer approach; pure edge sim; quality of services

    This article can be accessed at: https://www.scopus.com/pages/publications/85185199021

  • Application of The Thinking Design Method in UI/UX Design of The Lawn Mowing Service Application

    Authors: Muhammad Faiz Islami, Hanhan Maulana

    DOI: 10.1109/INCITEST64888.2024.11121521

    Abstract

    People in Bangkinang have difficulty accessing effective lawn mowing services. Lack of information and traditional ordering methods prevent service providers from expanding their market reach. A digital solution is needed to overcome this problem. In Bangkinang City, many people are engaged in lawn mowing services, but ordering for this service traditionally done through brochures and word of mouth recommendations. This study focuses on developing a lawn mowing service application using design thinking. English This methodology consists of five steps: empathize, define, ideate, prototype, and test, which are used to understand user needs, generate ideas, develop prototypes, and test solutions. The research results in the form of a prototype mobile application for service providers in Bangkinang City, tested using the system usability ladder (SUS) method with an average score of 80.66 for the service user application and 81.5 for the service provider application, indicating that the application is easy to use and well received by users. This research is expected to improve the effectiveness and efficiency of the lawn mowing servise booking process and contribute significantly to the development of information technology in the community. This research aims to design a lawn mowing service application using design thinking, to give users a good experience and can efficiently order services. © 2024 IEEE.

    Author keywords

    Design thinking; system usability scale; usability

    This article can be accessed at https://www.scopus.com/pages/publications/105015889965

  • 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

  • Enhancing The Attractiveness of Coloring Books Using Live Texturing Augmented Reality

    Authors: Hanhan Maulana; Jajang Saeful Anshor; Hideaki Kanai

    DOI: 10.1109/INCITEST59455.2023.10396956

    Abstract

    This study aims to build live texturing augmented reality to enhance the attractiveness of coloring books. This research has four main stages, namely data gathering, object preparations, software development and evaluations. This study uses UNITY 3D in building a Live Texturing Augmented Reality System. The AR method used is the Marker method. Users can color the marker. The 3D object will follow the color given to the marker in real time. This system is expected to increase children’s attraction to coloring. It is hoped that children’s understanding of color can also be improved. Furthermore, this system is expected to help children in deciding on color selection so that children’s creativity is getting better. © 2023 IEEE.

    Author keywords

    Augmented Reality; Coloring books; interactive system; Live Texturing; Multimedia

    This article can be accessed at: https://www.scopus.com/pages/publications/85185195328

  • Support Vector Machine for Satellite Images Classification 

    Using Radial Basis Function Kernel Method

    Authors: Nur Suhaili Mansor ; Hapini Awang ; Sarkin Tudu Shehu Malami ; Amirulikhsan Zolkafli ; Mohammed Ahmed Taiye ; Hanhan Maulana 

    DOI: 10.1007/978-981-99-9589-9_23

    Abstract

    Machine learning, particularly Support Vector Machines (SVM), has gained popularity in geospatial data processing and image classification. Geospatial data from various sources may contain errors, impacting image classification accuracy. Traditional pixel-based and object-based methods struggle to classify complex land cover classes accurately. Previous studies explored machine learning algorithms like Random Forests, K-Nearest Neighbors, and Neural Networks. Still, they faced challenges capturing intricate relationships within images and required substantial labeled training data, leading to computational expenses. SVM with polynomial kernels was attempted in some studies, but it suffered from potential overfitting and inefficiency for large datasets. To overcome these issues, this study employed SVM with RBF and Linear kernels to classify multispectral satellite images from the SPOT-6 Satellite Imagery dataset in Sungai Kelang, Malaysia. Previous research evaluated each kernel’s performance accuracy compared using a test dataset, utilizing open-source tools like Jupyter Notebooks and Python libraries to explore SVM’s potential as a high-performance satellite image classification technique. The findings revealed that SVM with RBF kernel outperformed SVM with polynomial or linear kernels in classifying satellite images. The RBF kernel’s robustness allowed SVM to model intricate decision boundaries and capture complex patterns in the image data, making it suitable for tasks with non-linearly separable data. The study introduces a new methodology and theoretical contribution to image classification-related literature, shedding light on the efficacy of SVM-RBF for geospatial data processing. It provides an alternative to traditional approaches for complex image classification tasks. Moreover, the research assists in selecting the optimal algorithm for remote sensing and satellite imagery applications. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

    Author keywords

    Geospatial; Image Classification; Linear Kernel; Radial basis function (RBF) Kernel; Support Vector Machine

    Indexed keywords

    Engineering controlled terms

    Classification (of information); Complex networks; Data handling; Forestry; Large datasets; Learning algorithms; Nearest neighbor search; Radial basis function networks; Remote sensing; Satellite imagery; Statistical tests; Support vector machines

    Engineering uncontrolled terms

    Geo-spatial; Geospatial data processing; Images classification; Kernel-methods; Linear kernel; Performance; Polynomial kernels; Radial basis function kernels; Satellite image classification; Support vectors machine

    Engineering main heading

    Image classification

    This article can be accessed at https://www.scopus.com/pages/publications/85185723250

  • IoT (Internet of Things) as a Tool to Help Regulate Water Altitude on Dams

    Authors: Sri Supatmi, Dita Ardisura Pamungkas, Desta Rifaldi Nugraha, A Febrian, Audi Citra Fadilah

    DOI: 10.1109/INCITEST64888.2024.11121455

    Abstract

    In each dam in the Citarum River, workers from the management officers must go to each dam to arrange the doors of irrigation and record for the report if the officers who visit each dam and make irrigation reports can be minimized to be more efficient. Therefore, this research aims to help regulate water altitude on dams through a dam monitoring system employing the Internet of Things (IoT). IoT is a structure where objects, people who are provided with an exclusive identity, and the ability to move data over a network without requiring two-way between humans to humans is the source of human purpose or interaction to a computer. The way it works from IoT is that objects must have an Internet Protocol (IP) address. Furthermore, Internet Protocol (IP) addresses in these objects are connected to the Internet network. The idea is expected to be an alternative solution for dam officers in managing irrigation in the dam to raise the officers’ performance in working because of the many times created from this monitoring system. Data collection was conducted through interviews in the hall of Management of River Basin Water Resources (PSDA WS) in Citarum, West Java Province. This research result is the prototype of irrigation monitoring tools to facilitate the modeling of the devices. © 2024 IEEE.

    Author keywords

    dam monitoring system; IoT; regulate water altitude

    This article can be accessed at https://www.scopus.com/pages/publications/105015867292

  • Comparison of SAW and MABAC Methods in Determining Strategic Tourism Destinations with Entropy Weighting Integration

    Authors: Muhlas Adiputra, Yeffry Handoko Putra

    DOI: 10.1109/INCITEST64888.2024.11121470

    Abstract

    Bima Regency, with its natural and cultural diversity, has great potential as a strategic tourism destination that requires proper management. However, the main challenge faced is determining the most potential destinations appropriately and supported by accurate data. In an effort to address the problem, this research utilizes the Entropy method for criteria weighting and applies two multi-criteria decisionmaking methods, Simple Additive Weighting (SAW) and MultiAttributive Border Approximation area Comparison (MABAC), to evaluate their effectiveness in selecting tourist destinations in Bima Regency. The results show that both methods consistently identify Lariti Beach as a superior destination. From the comparison of the two methods, the SAW method provides more stable and consistent results, is suitable for less complex conditions, and requires long-term reliability. Meanwhile, the MABAC method shows higher sensitivity to data changes, with more significant fluctuations in results. Thus, the SAW method is considered more appropriate for use in the selection of strategic tourist destinations in Bima Regency, considering that this method provides consistent results as well as efficiency and ease of application. © 2024 IEEE.

    Author keywords

    determination of strategic tourism destinations; DSS; entropy; MABAC; MCDM; SAW

    This article can be accessed at https://www.scopus.com/pages/publications/105015860453

  • Technology Acceptance Model Analysis on The Implementation 

    of Accounting Information Systems

    Authors: Harpa Sugiharti; Lulu Sri Hamdiati; Ajang Mulyadi; Apriani Puti Purfini; Nurul Amalia Ramdan

    DOI: 10.1109/INCITEST64888.2024.11121488

    Abstract

    This research aims to find out the level of reception users through the Technology Acceptance Model (TAM) analysis of the Accounting Information System implementation for MSMEs using the Paper.id application. This research is quantitative research with methods of descriptive verification. The research sample consisted of 155 MSME users of the Paper.id application that implements the Accounting Information System. Calculation method samples using the Inverse Square Root technique. Validity test instrument using convergent validity and reliability tests using composite reliability. The primary data in this research is the respondents’ answers collected by distributing questionnaires. The data analysis technique used is Structural Equation Modeling Analysis Based on Partial Least Square (PLS-SEM) with the help of SmartPLS 4.1 software. They are testing the hypothesis using the T-Test with the help of Bootstrapping. Test results show that perception usability and perception convenience influence attitude to usage positively, and perception usability and perception convenience influence positive use in an actual way. Furthermore, the attitude to use influential positives should be used in an actual way. © 2024 IEEE.

    Author keywords

    attitude to usage; paper.id application; perceived uses; perception ease; use by actual

    Indexed keywords

    Engineering controlled terms

    Inverse problems

    Engineering uncontrolled terms

    Accounting Information Systems; Attitude to usage; Id application; Modeling analyzes; Paper.; Perceived use; Perception ease; Technology acceptance model; Use by actual; Validity tests

    Engineering main heading

    Information systems; Information use

    This article can be accessed at https://www.scopus.com/pages/publications/105015850795

  • Comparison of Bidirectional-LSTM and GRU Models for Sentiment Analysis in Bahasa Indonesia

    Authors: Muhammad Rajab Fachrizal, Annisa Paramitha Fadillah, Lusi Melian

    DOI: 10.1109/INCITEST64888.2024.11121460

    Abstract

    Bidirectional-LSTM and GRU are models that can be used to process sequential data, including text data. This study, compares the two deep learning models to classify text for sentiment analysis using the Bahasa. The dataset used is the JKN BPJS Kesehatan mobile application user review data obtained from the Google Play Store site. After text preprocessing, the amount of data to be processed is 93517 with three target labels, positive, negative, and neutral. By using several model parameters such as Number of Units, Activation, Batch Size, Dropout, and other parameters, the test results obtained are that the Bidirectional-LSTM model has a slight accuracy value of 96.70% and higher precision, recall, and F1Score values compared to the GRU model. © 2024 IEEE.

    Author keywords

    Bahasa; Bi-LSTM; deep learning; GRU; sentiment analysis; text classification

    This article can be accessed at https://www.scopus.com/pages/publications/105015853213

  • 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