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  • 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?

  • The Determination of the Fuzzy Membership Sets for a Hybrid Coffee Bean Dryer Temperature Controller

    Authors: Yusrila Kerlooza; Ari Ramadhani

    DOI: 10.1109/INCITEST59455.2023.10396975

    Abstract

    Traditionally in Indonesia, post-harvest processing of coffee beans is usually done by drying them in the sun. This method will produce coffee beans with uncertain quality. The use of sophisticated industrial-scale dryers is not easy to implement in rural areas due to the limited supply of electricity or gas as a source of heating energy. In this paper we present the design of a coffee bean dryer temperature controller using the fuzzy logic method. This device can regulate the temperature inside the drying chamber by adjusting the opening size of the hot air valve without changing the amount of heat supply from the heating components. In this way, various heat sources can be used according to their availability in the field. This research tested several fuzzy membership function scenarios in the form of several variations of valve opening sizes and measured the speed and stability of each variation in reaching the desired temperature. Based on the dryer model developed in this study, the most stable control scenario at the ideal coffee bean drying temperature is the fuzzy control scenario with 5 membership functions. The fastest time from 28°C to reach a temperature set point of 40°C is 10 minutes 26 seconds and the fastest temperature drop from 42°C to the same set point takes 3 minutes 19 seconds. © 2023 IEEE.

    Author keywords

    fuzzy logic controller; hybrid coffee beans dryer; temperature controller

    This article can be accessed at: https://www.scopus.com/pages/publications/85185198581

  • Intelligent Tutoring System-Based Learning Model in The Military

    Authors: Bobi Kurniawan; Meyliana; Harco Leslie Hendric Spits Warnars; Bambang Suharjo

    DOI: 10.1109/INCITEST64888.2024.11121483

    Abstract

    Advancements in technology are affecting all spheres of life, especially education. An intelligent tutoring system is introduced, also known as an intelligent learning system. Intelligent tutoring systems in the military are needed to perform tutor functions to students or prospective soldiers who are packaged in the form of interactive applications to produce qualified and professional army graduates or human resources. Implementation of Intelligent Tutoring System (ITS) technology in the military field is still a lot abroad, like in the United States, Britain, and Australia. While learning opportunities in the Indonesian military environment are still a recommendation of the rules of learning and have not entered the learning system. This research aims to determine the current conditions related to the utilization of ITS in the military through a comprehensive systematic literature review. The second objective is to know the development of ITS models used in the military field and to develop models by adding detection of the level of saturation and fatigue of students or prospective soldiers in the learning process in the military environment. Research results show that the development of an ITS model in the military field can be done to improve accuracy and efficiency in learning processes in adaptive military environments. © 2024 IEEE.

    Author keywords

    intelligent tutoring system; ITS; military; systematic literature review

    Indexed keywords

    Engineering controlled terms

    Computer aided instruction; Education computing; Engineering education; Intelligent control; Intelligent systems; Learning systems; Students; Teaching

    Engineering uncontrolled terms

    Intelligent tutoring; Intelligent tutoring system; Military; Military environment; Military fields; Systematic literature review; Tutoring system

    Engineering main heading

    Military applications

    This article can be accessed at https://www.scopus.com/pages/publications/105015856945

  • Design and Development of Intelligent Tutoring System Model

    for Learning System in The Indonesian National Armed Forces

    Authors: Bobi Kurniawan ; Meyliana ; Harco Leslie Hendric Spits Warnars ; Bambang Suharjo

    DOI: 10.1109/INCITEST64888.2024.11121466

    Abstract:

    The purpose of this study is to develop and design an intelligent tutoring system (ITS) based on student personalization by considering learning styles and emotional conditions during the learning process in the Indonesian National Armed Forces environment. With a learning system that is personal and adaptive, it is expected to improve the quality of education provided to students in the Indonesian National Armed Forces environment. This study was formed from the identification of components and sub-components in the ITS model, the development of this ITS model takes into account the state and emotional conditions of students and evaluates the model’s performance. This project, it is expected to provide new knowledge or insights about the implementation of the Intelligent Tutoring System (ITS) in the field of military education and training and contribute significantly to the development of learning systems in the Indonesian National Armed Forces environment. © 2024 IEEE.

    Author Keywords:

    adaptive learning; artificial intelligence in education; Indonesian army learning system; intelligent tutoring system; learning personalization

    Indexed Keywords:

    Engineering controlled terms

    Computer aided instruction; Education computing; Intelligent systems; Learning systems; Teaching

    Engineering uncontrolled terms

    Adaptive learning; Armed forces; Artificial intelligence in education; Indonesian army learning system; Intelligent tutoring; Intelligent tutoring system; Learning personalization; Personalizations; System models; Tutoring system

    Engineering main heading

    Students

    This article can be accessed at https://www.scopus.com/pages/publications/105015865594?

  • Palm Oil Commodity Traceability System to Support the Implementation of EUDR Policies in Indonesia

    Author: Julian Chandra Wibawa ; Muhammad Eko Utomo ; Vita Harlan Bachtiar; Nizar Rabbi Radilya ; Rauf Fauzan

    DOI: 10.1109/INCITEST64888.2024.11121512

    Abstract

    The palm oil commodity traceability system allows for tracking the palm oil product trail from upstream to the end consumer. The aim of this research is to increase the added value of Indonesian palm oil products in the international market which is increasingly prioritizing sustainability. By meeting global requirements and standards, palm oil producers and exporters can access wider markets and increase the competitiveness of their products. This not only helps to avoid illegal land use and deforestation that are detrimental to the environment, but also supports efforts to preserve habitats and biodiversity that are often threatened by plantation expansion. The method applied in developing this system is the prototype method, which begins with needs analysis, followed by the design stage, development implementation, testing, and ends with the finalization stage. The output of this research is to produce a palm oil commodity traceability system to support the implementation of the EUDR policy in Indonesia. © 2024 IEEE.

    Author keywords

    deforestation; EUDR policy; palm oil; traceability

    Indexed keywords

    Engineering controlled terms

    Competition; Financial markets; International trade; Oil shale; Palmprint recognition; Sustainable development

    Engineering uncontrolled terms

    Added values; End consumers; EUDR policy; Indonesia; International markets; Need analysis; Oil producers; Oil product; Traceability; Traceability systems

    Engineering main heading

    Palm oil

    This article can be acessed at: https://www.scopus.com/pages/publications/105015798356

  • Development of Multimedia Applications Colonial War History in Indonesia

    as Interactive Learning Media For High School Students

    Authors: Diana Effendi ; Rani Puspita  Dhaniawaty ; Mufti Muhammad Pratadina ; Rahmat Hidayat ; Muhammad Alghani ; Bella Hardiyana

    DOI: 10.1109/INCITEST64888.2024.11121459

    Abstract:

    This research aims to build a multimedia-based learning application program for the history of a colonial war in Indonesia. The object of research was conducted at SMAN 24 Bandung, class XI as many as 8 classes. The problem faced at this time is that students get material on the history of war in Indonesia only by capitalizing on materials from books and or PowerPoint soft files as references. In delivering the material by the teacher only face to face in class, lecturing, holding question and answer sessions, and not having a variety of interactive learning media, learning history becomes less interesting. Multimedia is an innovative learning system that requires teachers to be more creative in combining multimedia elements such as text, images, sound, video, and animation to unite and achieve learning objectives. The method used in developing this application is the Multimedia Development Life Cycle (MDLC). In the alpha and beta testing stages, testing was carried out by 4 evaluators, namely learning material experts (vice principal), learning design experts and communication media experts from multimedia industry practitioners, and users represented by history teaching teachers. Three aspects are assessed, namely audio media, video media, and multimedia with a value > =3, multimedia applications are said to be suitable for use as learning aids. From the results of the evaluator’s assessment, the three aspects are obtained around the average value of the evaluator 5.18, which means that this application is feasible to use as a learning media in the history of colonial wars in Indonesia. © 2024 IEEE.

    Author Keywords:

    assessment; multimedia; Multimedia Development Life Cycle

    Indexed Keywords:

    Engineering controlled terms

    Application programs; Audio acoustics; Computer aided instruction; E-learning; Education computing; Educational technology; Learning systems; Multimedia systems; Students; Teaching

    Engineering uncontrolled terms

    Assessment; High school students; Indonesia; Interactive learning; Learning media; Multimedia applications; Multimedia development; Multimedium; Multimedium development life cycle; Teachers’

    Engineering main heading

    Life cycle

    This article can be accessed at https://www.scopus.com/pages/publications/105015673205?