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  • 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

  • Communication-Based Train Control Simulator to Optimize Train Headway

    Authors: Ferry Stephanus Suwita; Rin Rin Nurmalasari; Rangga Julfian Hakim

    DOI: 10.1109/INCITEST59455.2023.10395923

    Abstract

    The development of public transportation, especially for large urban areas, is mandatory, where the need for time efficiency and integrated mass transportation to provide optimal services to customers. Trains in Indonesia generally use traditional signaling systems while currently, some countries have developed the use of modern communication-based train control (CBTC) Internet of Things (IoT) technology. The use of CBTC can be a solution to optimize train headway in Indonesia with the concept of communication carried out between trains and control stations to determine the position of the train so that the train can determine the optimal speed to reach the destination and create comfort as well as accidental safety. This study analyzes the use of the concept of communication-based train control to optimize the railroad track. The research was conducted by simulating using a miniature model train scale HO or 1:87. This research will be elaborated on the literature review, design and implementation, testing and analysis, conclusions from the train system simulator specifically the results of the use of MQTT in the railroad scheduling subsystem. The results of the study indicate that in the simulation the train headway had an average distance of 12.83cm. © 2023 IEEE.

    Author keywords

    CBTC; HEADWAY; MQTT; TRAIN

    This article can be accessed at: https://www.scopus.com/pages/publications/85185194586

  • 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

  • Sigma Level Quality Analysis with Simulation Approach at PT. Mitra Rajawali Banjaran

    Authors: Diana Andriani, Iyan Andriana, I Made Aryantha Anthara, Muhammad Rifky Naufal, Ira Rustiendah

    DOI: 10.1109/INCITEST64888.2024.11121464

    Abstract

    PT. Rajawali Mitra Banjaran is a company engaged in the field of medical devices. One of the products of this company is the ADS (Auto Disable Syringe) syringe, but production in 2022 has a fairly high defect rate of 13% of total production and shows a sigma level of 3.56. It is known that the factors causing defects are man, machine, and method. To increase the company’s sigma level, quality control and the creation of a conceptual model from a simulation using ProModel are needed, then a comparison is made between actual production conditions and simulation conditions, it is hoped that this can reduce the number of defects and increase the company’s sigma level. Based on the results of the study using the ProModel application, the output of the proposed product has a difference of 18%, defective products decreased to 6.5% from the initial model, and the sigma value increased to 4.02. © 2024 IEEE.

    Author keywords

    model simulation; Production process; quality control; sigma level

    This article can be accessed at https://www.scopus.com/pages/publications/105015892369

  • Optimizing Forest Fire Detection Using PSO, Neural Networks, 

    and k-Fold Cross-Validation

    Authors: Nina Kurnia Hikmawati; Yudi Ramdhani; Doni Purnama Alamsyah

    DOI: 10.1109/ICIC64337.2024.10956756

    Abstract

    Preventing Forest fires by identifying events based on specific criteria using the Neural Network (NN) algorithm. To ensure result stability, test and training data are divided using k-fold cross-validation with variations k-5, k-10, and k-20. The NN algorithm performed significantly better after being optimized with Particle Swarm Optimization (PSO), with the average accuracy value going from 97% to 98.78% and the AUC value increasing from 0.997 to 0.999. A weight study of PSO reveals variability in values for each attribute, with Day and Month having no significant effect on classification. The results of the Paired Two-sample t-test for Means show that using PSO improves accuracy significantly. The merging of PSO with Neural Networks has a considerable positive influence on forest fire prediction and is suggested for applications requiring high accuracy. © 2024 IEEE.

    Author keywords

    Forest Fires; Machine Learning; Neural Networks; Particle Swarm Optimization

    Indexed keywords

    Engineering controlled terms

    Stability criteria

    Engineering uncontrolled terms

    Forest fire detection; Forest fires; K fold cross validations; Machine-learning; Neural networks algorithms; Neural-networks; Particle swarm; Particle swarm optimization; Particle swarm optimization-neural networks; Swarm optimization

    Engineering main heading

    Particle swarm optimization (PSO)

    This article can be accessed at https://www.scopus.com/pages/publications/105004579202

  • Design and Implementation of Temperature and Humidity Monitoring and Control System in IoTbased Chicken Eggs Incubator

    Authors: Hidayat, Aditia Dwi Subhana Putra, Mochamad Fajar Wicaksono

    DOI: 10.1109/INCITEST64888.2024.11121478

    Abstract

    Temperature and humidity during the hatching of chicken eggs greatly determine its success. Inconsistent egg turning causes slow embryo development. The number of eggs can affect temperature and humidity if not managed properly. This research aims to build an IoT-based control and monitoring system for hatching chicken eggs using ESP32 WROOM, DHT22, ESP32-CAM and PIR sensors. This research uses an experimental method. The research benefit is monitoring temperature and humidity values in the incubator and controlling the eggs’ turning. ESP32 WROOM 32 is used as a data processing unit. DHT22 is used as a temperature and humidity sensor. ESP32-CAM is used to monitor the condition of the eggs in the incubator. The PIR sensor is used to detect hatching eggs. In addition, a stepper motor is used to rotate the roller rack so that the eggs can be turned over. The research results show that the temperature in the incubator can be stabilized at 37° C-39°C. Egg turning can be done automatically and regularly every day. The Blynk application can display the temperature and humidity in the incubator and stream the incubator conditions. It is hoped that the results of this research will increase the ease of managing the hatching of chicken eggs. © 2024 IEEE.

    Author keywords

    Blynk application; eggs incubator; Internet of Things; monitoring system; temperature and humidity

    This article can be accessed at https://www.scopus.com/pages/publications/105015874296

  • Android Based Arduino Learning Model by Implementing Multi Marker Augmented Reality

    Authors: John Adler; Selvia Lorena Br Ginting; Mochamad Fajar Wicaksono; Dianto Setiyadi; Yogie Rinaldy Ginting

    DOI: 10.1109/INCITEST59455.2023.10396965

    Abstract

    This research aims to develop an interactive learning system based on Arduino Uno basic material. To realize this system, Augmented Reality technology is used which will explain each Arduino Uno pin function along with an explanation of each example of the basic circuit provided. This started with the Arduino Uno learning process which often caused damage to the Arduino or the components that were connected to the Arduino itself during the process of making the circuit. This problem can occur due to a lack of basic understanding of theory. The use of Augmented Reality technology is able to display objects in the form of Arduinos in virtual 3D, so that 3D objects can appear, markers are used to mark each object, the introduction of the Arduino Uno itself can be simulated by providing a real picture using the multi marker method where there is a main marker containing 3D objects in the Arduino series and supporting markers containing explanations of the series. Thus, learning is not limited to conventional learning and minimizes errors in trials. The method used to develop the system is the waterfall method. The waterfall method itself is part of implementing a design with a good and reasonable target. Based on the tests obtained, the Arduino Uno learning application is able to run well using multiple markers, 3D or 2D objects can be run on a smartphone, and black box testing and marker reading testing are carried out with different lighting levels and reading from different sides. © 2023 IEEE.

    Author keywords

    arduino; augmented reality; learning; markers; smartphones

    This article can be accessed at: https://www.scopus.com/pages/publications/85185201436

  • Development of Problem-Based Web Application

    with a Differentiated Learning Approach

    Authors: Wahyudin ; Dwi Fitria Al Husaeni ; Rasim R. ; Hanhan Maulana ; Shah Nazir

    DOI: 10.1109/INCITEST64888.2024.11121474

    Abstract:

    The development of digital technology and the internet allows multimedia learning to support a more flexible and accessible learning process. This research was conducted to develop a problem-based learning system with a differentiated learning approach. Adjustment of the learning process into differentiated processes and products based on students’ learning styles, namely visual, auditory, and kinesthetic. The learning system was developed following the syntax of problembased learning, namely i) problem orientation; ii) student organizations; iii) guiding the investigation; iv) developing and presenting work results, and v) analysis and evaluation of the problem-solving process. The learning system development procedure consists of analysis, design, development, and evaluation stages. The learning system consists of login, profile, change password, and logout features. Apart from that, there is a learning menu (Pre-Test, Material, and Post-Test), assignments, grades, help, guides, and developer information. The material validation results show a score of 91.69% and is included in the ‘Very Good’ category. Meanwhile, the results of the media validation value were 93.66% in the ‘Very Good’ category. This learning system has adapted a differentiated learning approach with an expert validation test score of 70.39% in the ‘Good’ category. The results of this research indicate that a problem-based learning system with a differentiated learning approach can be categorized as suitable for implementation in the classroom learning process. It is hoped that this research can become a reference and source of reference for further research which will develop a problembased learning system with a differentiated approach. © 2024 IEEE.

    Author Keywords:

    differentiated learning; learning systems; problem-based learning; websites

    Indexed Keywords:

    Engineering controlled terms

    Computer aided instruction; E-learning; Engineering education; Learning systems; Multimedia systems; Problem solving; Students

    Engineering uncontrolled terms

    Differentiated learning; Digital technologies; Learning approach; Learning process; Multi-media learning; Problem based learning; Problem-based; Student learning; WEB application; Web applications

    Engineering main heading

    Websites

    This article can be accessed at https://www.scopus.com/pages/publications/105015853261?