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  • Developing Security Privacy Program in Information System

    Developing Security Privacy Program in Information System

    Authors: Muhamad Afghany Haryatno, Yeffry Handoko Putra

    Abstract

    The amount of information that people generate on daily life have put their smart devices as active participants of the business that runs by numerous organizations. However, following the process the information brought numerous people to consider the safety level, as some personal information might be leaked during the process. In the last few years, there have been a lot of national and international regulations that oblige organizations to follow certain rules in their information security program. This is mainly because leakage of personal information might put the victim’s privacy in danger, resulting in identity theft and perhaps financial loss. For organizations this situation could led them loss trust, reputation, and loyalty from their customers. Therefore, ensuring privacy during the process, storing, and sharing of personal information is important. Although it’s clear that security and privacy are two different terms, upon implementation security often believed covers privacy too. This paper seeks to enhance information system security, by developing privacy program using privacy by design as method. The goal is to illustrate and present some insight of how privacy by design address privacy in information system security. © School of Engineering, Taylor’s University.

    Author keywords

    Information system security; Privacy by design; Privacy program; Security

    This article can be accessed at https://www.scopus.com/pages/publications/85197658546

  • Development of a Machine Learning Model for Multiple Membership Publication Documents

    Development of a Machine Learning Model for Multiple Membership Publication Documents

    authors: Apriani P. Purfini, Stephanie B. R Hersianie, Rio Yunanto

    Abstract

    This research aims to develop a learning model in the text mining process by modifying TFIDF. The methodology employed in this study consists of a literature review, data collection, data preprocessing, and document processing. Text mining is conducted using the title and keyword attributes in publication documents. The outcome of this research is a learning model with modified TFIDF to determine multiple memberships in publication documents. The modification of TFIDF weighting can group words according to their document field categories. In contrast, previous TFIDF methods could only group words per document, making it difficult to determine the field categories of publication documents. The results of this research are expected to provide a solution to achieve more accurate outcomes with the same data scheme. The modification of TFIDF weighting can group words according to their document field categories. These field categories consist of a collection of words from many documents that have characteristics in specific field categories. Longer documents tend to have higher TFIDF weights because they can contain more words. This condition can affect the comparison between long and short documents. TFIDF also does not consider the context surrounding words, so in some cases, context is crucial for understanding the meaning of words or phrases. © School of Engineering, Taylor’s University.

    Author keywords

    Multiple membership; Publication document; TFIDF

    This article can be accessed at https://www.scopus.com/pages/publications/85199474137

  • Server Security and Air Quality Monitoring System Using Raspberry Pi 4 and Telegram

    Server Security and Air Quality Monitoring System Using Raspberry Pi 4 and Telegram

    Authors: Mochamad Fajar Wicaksono, Myrna Dwi Rahmatya

    Abstract

    The purpose of this research is to develop a system that uses Raspberry Pi and IoT technologies to monitor server room conditions such as temperature, humidity, air quality, and access rights security. The contribution of this research is that it makes it easier for users to monitor the server room and take appropriate action when something goes wrong. The method utilized in this study is experimental. The output obtained is in the form of a web display and telegram notifications. The brain of this system is the Raspberry Pi 4. The input received is temperature, humidity, carbon monoxide levels, carbon dioxide, and dust particle values. The thing that causes the Raspberry Pi 4 to activate the buzzer and send notifications via Telegram is when the temperature value is more than 230C, the humidity is less than 45% or 60%, the measured carbon monoxide value is more than 50 ppm, or carbon dioxide is more than 800 ppm or the AQI value of dust particles is more than 100. Regarding access rights, users can only enter the server room using a registered RFID card. Access rights violations will be detected by PIR1, PIR2, and Ultrasonic sensors. If this happens, the Raspberry Pi will take a photo with the Pi Camera, activate the buzzer, and send it via Telegram. The entire system testing process is tested into two main parts: temperature, humidity, AQI testing, and security testing related to access rights according to the program scenario and initial objectives. Test results show that every part is functioning 100%. The overall test shows 100% success where the system can do actions according to program conditions and scenarios. © School of Engineering, Taylor’s University.

    Author keywords

    AQI; Monitoring; Raspberry Pi4; Security; Server room; Telegram

    This article can be accessed at https://www.scopus.com/pages/publications/85198972754

  • Benefits of Using E-Learning: Analysed from Neuropsychological Aspects

    Benefits of Using E-Learning: Analysed from Neuropsychological Aspects

    Authors: Edi Firdaus, Munir M, Puspo Dewi Dirgantari, Chairul Furqon, Raden Heryaningtias Ramadhianti

    Abstract

    This research describe the benefits of using e-learning terms of the user’s neuropsychological aspect. A survey method was employed as the research methodology in this study., where the process of using e-learning by users is first described, then a survey is carried out by filling out a questionnaire to 286 elearning users based on 4 indicators, namely optimism, innovativeness, insecurity and discomfort from the survey results. The results obtained were then studied further concerning neuropsychological aspects. The results that the use of elearning shows a high sense of optimism and growth of innovation among users in but is still declared neutral in the insecurity and discomfort aspects. Then, looking at it from the neuropsychology aspect, e-learning can improve the emotional performance process in the brain, where the sense of optimism and innovativeness in oneself can be categorized as high. Recommendations for further research include reviewing the use of e-learning on other aspects of neuropsychology such as cognitive strength, trust, motivation, etc. © School of Engineering, Taylor’s University.

    Author keywords

    Discomfort; E-learning; Innovativeness; Neuropsychology; Optimism

    This article can be accessed at https://www.scopus.com/pages/publications/85218769534

  • Integration of Wireless Sensor Networks with Wireless Mesh Networks in IoT-Based Patient Monitoring Systems

    Integration of Wireless Sensor Networks with Wireless Mesh Networks in IoT-Based Patient Monitoring Systems

    Authors: Irawan Afrianto, Rahmat Mainusar, Sufa Atin

    Abstract

    Optimizing the patient handling process is an important part of a community health service centre. The study aims to develop a patient monitoring system using a Wireless Sensor Network (WSN) approach based on the Internet of Things (IoT) and Wireless Mesh Network (WMN). The application of the wireless sensor network in this study is used to monitor patients wirelessly and with precision in a nurse’s room. The method used in the development of this system is using the prototype method. The system model is developed in the form of applications and hardware consisting of IoT and wireless mesh network infrastructure. The application that was built has the function of receiving data from IoT devices that are sent via a wireless mesh network. Meanwhile, the developed hardware functions to detect the level of infusion water and the nurse calling device wirelessly. Wireless mesh network infrastructure is used as a data traffic medium that can configure and organize itself (self-configured), to maintain connectivity. The results obtained show that the prototype of the patient monitoring system is functionally running well, can produce fast and accurate information, and produces IoT devices that work efficiently and have reliable network infrastructure, to provide convenience for patients and nurses to obtain optimal health services. © School of Engineering, Taylor’s University.

    Author keywords

    Internet of things; Patient monitoring system; Wireless mesh network; Wireless sensor network

    This article can be accessed at https://www.scopus.com/pages/publications/85204008008

  • Design and Development of Qurban Service Information System Using Research and Development Method

    Design and Development of Qurban Service Information System Using Research and Development Method

    Authors: Diana Effendi, Rani Puspita Dhaniawaty, Mia Fitriawati, Delviola Cancerina, Aldi Ramadhan

    Abstract

    This research is the development of SIKEMAS (Mosque Financial Flow Information System), which is now referred to as the Qurban Service Information System (SIQUR), conducted at DKM Khairul Amal, Bandung City. There are problems in processing qurban data, at the Khairul Amal mosque DKM, which currently still uses conventional manual methods, which cause many problems starting from the qurban preparation stage, registration of qurban (shohibul qurban) and sacrificial animals, to the distribution of qurban meat. Another problem is the unsynchronized data between the availability of qurban meat and the number of recipients. Because it creates an application or system that has already been developed, this research was carried out utilizing the research and development technique. At the same time, the design of information systems uses object-oriented design tools using the Unified Modelling Language (UML). At the same time, the application is built with Java Netbeans 7.0 programming with MySql database. The result of measuring the respondents’ satisfaction index with SIQUR is 98%, which means that users are satisfied with the facilities in SIQUR. © 2024 Taylor’s University. All rights reserved.

    Author keywords

    Qurban; Research and development; SIKEMAS; SIQUR

    This article can be accessed at https://www.scopus.com/pages/publications/85204027726

  • Design and Implementation of Android-Based Diet and Jogging Recommendation Application to Overcome Obesity

    Design and Implementation of Android-Based Diet and Jogging Recommendation Application to Overcome Obesity

    Authors: Hidayat H, Muhammad Salman Al-Farisi

    Abstract

    Obesity has become a significant global health issue, affecting populations in both developed and developing countries. The World Health Organization (WHO) reported a substantial rise in obesity rates since 1990, with 43% of individuals classified as overweight in 2022. This study aimed to design and implement an Android-based diet and jogging recommendation application targeting adults. Following the Waterfall model, the research adhered to a structured, sequential process that included requirements analysis, system design, implementation, testing, deployment, and maintenance phases. The application calculates Body Mass Index (BMI) based on user input, such as weight, height, age, and gender, categorizing individuals into seven classifications: Underweight, Normal weight, Pre-obesity, Obesity class I, II, and III. Personalized diet and exercise recommendations are then provided to help users achieve and sustain a healthy weight. The app integrates the Google Maps API to track jogging routes and the Low Carb Recipes API to offer calorie-based meal suggestions. Additionally, the Jogging Tracking feature allows users to monitor their jogging history. The results demonstrate that the application effectively delivers customized dietary and physical activity recommendations, aiding users in managing their caloric intake and maintaining consistent exercise routines. The system proves to be both functional and practical, offering a valuable tool in the fight against obesity, particularly in Indonesia. This research contributes to addressing the global obesity crisis by providing an accessible, technology-driven solution. © School of Engineering, Taylor’s University.

    Author keywords

    Android; BMI; Calorie; Jogging; Obesity

    This article can be accessed at https://www.scopus.com/pages/publications/85214310304

  • Utilization of Ferrocement and Zinc Plate as Floor Plate Formwork of Multi-Storey Houses

    Utilization of Ferrocement and Zinc Plate as Floor Plate Formwork of Multi-Storey Houses

    Authors: Y. Djoko Setiyarto, Vanya Jasmine Shaf

    Abstract

    Ferrocement is a thin-walled concrete that is less commonly used than reinforced concrete. On the other hand, zinc plate is a type of metal frequently utilized as roofing material and for rain gutters. This study aimed to evaluate the tensile strength of zinc and the flexural strength of ferrocement to ensure their safe load-bearing capacity for multi-storey building floors. The study was conducted experimentally by testing the strength of formwork plates made from ferrocement, with a base plate comprising a layer of zinc. The ferrocement used in the experiment contained two layers of wire mesh and mortar with a cement-to-sand ratio of 1:3. The experimental results yielded a formwork flexural strength value of 0.403 kNm, mortar compressive strength of 22.3 MPa and zinc yield stress of 194.6 MPa. Based on construction trial activities in multi-storey houses, zinc-coated ferrocement plates are deemed safe for application as permanent formwork for floor slabs. © 2025 Taylor’s University. All rights reserved.

    Author keywords

    Ferrocement; Formwork; Mortar; Plate; Zinc

    This article can be accessed at https://www.scopus.com/pages/publications/85214512806

  • Augmented Reality (AR) for Geometry Based on Prior Mathematical Knowledge

    Augmented Reality (AR) for Geometry Based on Prior Mathematical Knowledge

    Authors: Lilis Marina Angraini, Dianne Amor Kusuma, Reni Wahyuni, Muchamad Subali Noto, Astri Wahyuni, Aay Susilawati, Donny Reza

    Abstract

    This study outlined the development process of augmented reality (AR) media for teaching geometry, grounded in prior mathematical knowledge. We used the design thinking method, consisting of empathizing, defining, ideating, prototyping, and testing. The study showed that AR media developed for geometry based on prior mathematical knowledge was highly valid for being used by media and content expert validators. This is because AR media is designed according to students’ prior mathematical knowledge, categorized into high, medium, and low levels, making geometry learning more effective. The impact extends to various fields of science, technology, engineering, and mathematics (STEM), introducing a new, more engaging, and enjoyable way of delivering educational content. © School of Engineering, Taylor’s University.

    Author keywords

    Augmented reality; Geometry; Mathematics; Media; Teaching

    This article can be accessed at https://www.scopus.com/pages/publications/105002424757

  • Emerging Applications of Iot, Machine Learning, Virtual Reality, Augmented Reality and Artificial Intelligent in Monitoring Systems: A Comprehensive Review and Analysis

    Emerging Applications of Iot, Machine Learning, Virtual Reality, Augmented Reality and Artificial Intelligent in Monitoring Systems: A Comprehensive Review and Analysis

    Authors: Eddy Soeryanto Soegoto, Agis Abhi Rafdhi,  Amirullah Abduh, Rosmaladewi R, Nuria Haristiani

    Abstract

    This research explored the integration of Artificial Intelligence (AI), Machine Learning (ML), Virtual Reality (VR), Augmented Reality (AR), and the Internet of Things (IoT) across various domains, including cybersecurity, healthcare, education, and monitoring systems. The study aimed to identify emerging trends, evaluate current approaches, and discuss their implications. Key focus areas include IoT-enabled plant nutrition monitoring, ML-driven sales prediction, and AI-powered cybersecurity solutions, such as GPT-2 for zero-day threat detection. The findings highlighted innovative applications, such as bibliometric analyses of intelligent tutoring systems for educational modernization, IoT applications in agriculture, and AI-driven initiatives for digital financial inclusion. Critical challenges, particularly scalability and data protection, were also identified. This discussion emphasized the transformative potential of these technologies in enhancing decision-making, optimizing processes, and addressing societal challenges like cybersecurity and digital inclusion. In conclusion, IoT, ML, and AI play a pivotal role in driving innovation across industries. Future research should prioritize multidisciplinary approaches to tackle existing challenges and maximize the potential of these technologies. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence; Augmented reality; Internet of things; Machine learning; Virtual reality

    This article can be accessed: https://www.scopus.com/pages/publications/85219051948