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  • 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

  • Elevating PCP Level Implementation: A Strategic Approach

    with Architecture Software in the COVID-19 Era

    Authors: Yeffry Handoko ; Zuriani Ahmad Zukarnain ; Rahma Wahdiniwaty ; Noorihan Abdul Rahman

    DOI: 10.1109/INCITEST59455.2023.10397031

    Abstract:

    Between 2020 and 2021, Indonesia and Malaysia were both impacted by the COVID-19 pandemic. These two nations adopted a strikingly similar approach to restrict access to certain areas, primarily relying on identical criteria. In the case of Indonesia, the PPKM (Community Activity Restriction Enforcement) strategy was employed, this contained a component involving the exposure of COVID-19 affected persons. The determination of the extent of this exposure was primarily based on monitoring the rise in the number of individuals who had been in contact with COVID-19-positive individuals. However, during a pandemic, it’s imperative to consider not only those individuals who are confirmed to have COVID-19 but also those who exhibit symptoms similar to COVID-19 but have not been diagnosed. These individuals can also act as potential agents for the spread of the pandemic within their communities. This is referred to as the “Precaution COVID-19 Pandemic (PCP) Level.”It’s important to note that the PCP level does not have a universally agreed-upon definition at present. Instead, it is influenced more by the number of individuals displaying symptoms akin to those of COVID-19, rather than solely relying on the increase in confirmed COVID-19 cases. In essence, both countries shared a comparable approach to pandemic management during this period, but the emergence of the PCP level underscores the need for a broader perspective when assessing the pandemic’s impact on communities, considering not only confirmed cases but also symptomatic individuals who may contribute to its spread. The PCP Level determination can be used for preventative policy and to supplement the previous Pandemic Level Methods. Two methods are employed to realize this concept: the AHP approach for calculating the Covid-19 pandemic level and the K-Mean algorithm for pattern clustering. Data was gathered from 11 health centers in West Java province. The findings of this study underscore the potential of a multifaceted approach to pandemic precaution in the context of COVID-19. By synergistically integrating the three proposed algorithms and leveraging data on symptoms that are intricately linked to the predominant COVID-19 symptoms, this research illuminates a promising avenue for determining and implementing precautionary measures during the ongoing pandemic. This holistic strategy not only offers a more comprehensive understanding of the virus’s spread but also furnishes decision-makers with a versatile toolkit for tailoring precautionary actions to different circumstances, ultimately contributing to more effective and adaptive pandemic management. © 2023 IEEE.

    Author Keywords:

    clustering; Covid-19; decision support; Precaution

  • 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

  • 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

  • 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