Admin Website UNIKOM

Tag: kampus berbasis AI

  • Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Author: Senny Luckyardi ; Muhamad Fahrezi ; Eddy Soeryanto Soegoto

    Abstract

    The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensuring regulatory compliance. This study systematically reviews the integration of blockchain and AI in financial operations using a qualitative research approach. The findings indicate that blockchain enhances transaction security through decentralization and immutability, while AI significantly improves fraud detection and risk assessment through predictive analytics and machine learning. These advancements are driven by blockchain’s ability to ensure data integrity and AI’s capacity to analyse vast datasets in real time. This research highlights the potential of these technologies to boost consumer confidence, promote financial inclusion, and enhance the resilience of digital financial systems. However, regulatory complexities, high integration costs, and interoperability issues must be addressed to enable broader adoption. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance


    This article can be accessed at: https://www.scopus.com/pages/publications/105001500348

  • Chili Plant Monitoring System Using Yolo Object Detection Technology

    Chili Plant Monitoring System Using Yolo Object Detection Technology

    Author: Harun Sujadi ; Budiman B. ; Nunu Nurdiana ; Dony Susandi ; Elba Ghiffari Fitriasina ; Trustorini Handayani

    Abstract

    Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.

    Author keywords

    Agriculture; Chile plants; Research and development; Smart farming; YOLO


    This article can be accessed at: https://www.scopus.com/pages/publications/105002405701

  • Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Author: Asep Bayu Dani Nandiyanto ; Alifiyha Nayla Putri Akbar ; Shilla Aulia Suhandi ; Risti Ragadhita ; Dwi Fitria Al Husaeni ; Meli Fiandini ; Abdulkareem Sh. Mahdi Al-Obaidi ; Herry Saputra ; Senny Luckyardi ; Muhammad Aziz

    DOI: 10.53898/josse2024422

    Abstract

    This study investigates the impact of carbon particle size derived from Galangal Rhizomes on adsorption isotherm characteristics, aiming to establish its effectiveness as an adsorbent. Ga-langal Rhizomes were selected due to their rich carbon compounds, including cellulose, hem-icellulose, lignin, starch, pectin, and fiber, making them ideal for carbon-based adsorbents. The carbonization process involved subjecting Galangal Rhizomes to 250°C for 9 hours, then mill-ing and sieving to obtain specific particle sizes (500, 1000, and 2000 µm). Characterization was done using digital microscopy and Fourier-transform infrared spectroscopy. Batch adsorp-tion experiments were conducted using a curcumin solution as the model adsorbate, comparing results with ten standard isotherm models. Findings revealed that small carbon particles (500 µm) underwent monolayer adsorption, while large particles (1000 and 2000 µm) exhibited multilayer adsorption. The study concluded that Galangal Rhizomes-derived carbon particles are effective for colour waste cleanup, providing a natural, sustainable, and environmentally friendly solution aligned with sustainable development goals (SDGs). © 2024 Asep Bayu Dani Nandiyanto.

    Author keywords

    Adsorption; Carbon; Curcumin Solution; Isothermic galangal rhizomes; Particle distribution; Sustainable development goals

    This article can be accessed at: https://www.scopus.com/pages/publications/85214430183

  • Geospatial Intelligence Framework for BTS Infrastructure Planning Toward Universal Internet Access Target in Indonesia

    Author: Anjar Dimara Sakti ; Andani, I Gusti Ayu Andani ; Anissa Dicky Putri ; Muhammad Rizky Zakiar ; Ismail Al Faruqi ; Cokro Santoso ; Rezzy Eko Caraka ; Pitri Rohayani ; Fabian Surya Pramudya ; Arie Wahyu Wijayanto ; Angga Setiyadi ; Wervyan Shalannanda

    DOI: 10.1016/j.jag.2024.104274

    Abstract

    Equitable internet coverage has emerged as a key global priority, which is essential for promoting inclusive and sustainable development. The Indonesian government aims to provide universal internet access by 2024, particularly in remote regions. This study introduces a novel machine-learning-based approach to identify the priority areas for deploying Base Transceiver Station (BTS) towers, which are crucial for achieving the internet access targets of the government. A BTS Network Priority Index was developed by integrating the internet demand estimates with a BTS suitability index derived from key predictors: proximity to fiber optic stations, physical–environmental suitability, and infrastructure–economic readiness. The model identified areas with high internet demand and high BTS suitability as the most critical for immediate development, covering 20 km2. Additionally, future BTS development should target areas with high demand but medium suitability (900 km2) and medium demand but high suitability (280 km2). To validate the methodology, the Random Forest model was employed, which achieved an area under the curve value of 0.7315, indicating strong predictive performance. For the BTS Deployment Suitability parameter, the median was 0.65, with the lower and upper quartiles at 0.44 and 0.85, respectively, confirming that most proposed locations are highly suitable for development. This systematic approach provides data-driven insights for the equitable distribution of BTS towers to ensure efficient internet infrastructure expansion across Indonesia. Furthermore, the study offers a framework that can be adapted by other countries aiming to improve their digital infrastructure and achieve comprehensive, equitable internet access. © 2024 The Author(s)

    Author keywords

    Internet accessibility; Machine learning; Remote sensing; Spatial assessment


    This article can be accessed at: https://www.scopus.com/pages/publications/85209593186

  • The Advance Integration and Visualization of Construction 4.0: Automation, Robotics, and BIM

    The Advance Integration and Visualization of Construction 4.0: Automation, Robotics, and BIM

    Author: Yongki Alexander Tanne ; Ni Luh Ayu Indrayani

    DOI: 10.1007/s42107-024-01101-0

    Abstract

    Fragmentation caused by increased project complexity surely harms the construction industry’s performance, resulting in low productivity and waste. Construction 4.0 technology is expected to overcome productivity but causes fragmentation due to its partial implementation. Technology integration can provide more significant innovation. In recent years, there has been some research on technological integration. The study’s focus is solely on the interaction between several technologies, with no further explanation of how these technologies interact with one another, and is currently in the conceptual stage. As a result, the purpose of this study is to visualize the integration of construction technology in the form of a comprehensive and up-to-date framework among Construction 4.0 technologies. The framework is constructed using link analysis from the database gathered through the systematic literature review using PRISMA Method. It highlights the dominant role of BIM in integrating Construction 4.0 technology, despite the most extensive integrated set including only seven out of the 21 identified technologies from previous research. An evaluation was conducted to assess the latest advancements, leading to a proposal for developing a series of Construction 4.0 technologies. This research is expected to encourage and motivate stakeholders and academics to adopt and implement integrated Construction 4.0 technology, address productivity challenges and overcome fragmentation. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

    Author keywords

    Construction 4.0; Fragmentation; Novel framework; Productivity; Technology


    This article can be accessed at: https://www.scopus.com/pages/publications/85196491993

  • Integration of Sustainable Development Competency Points into the Telecommunication System Subjects at Vocational High School

    Integration of Sustainable Development Competency Points into the Telecommunication System Subjects at Vocational High School

    Author: Agus Heri Setya Budi ; Juanda E.A. ; Indrawan D. ; Henny H. ; Masek A.

    DOI: 10.30880/jtet.2024.16.03.016

    Abstract

    Education for Sustainable Development (ESD) plays a crucial role as an instrumental approach that must be widely promoted to ensure a more advanced and sustainable future. This study aims to comprehensively analyse the successful implementation of ESD in Vocational High Schools (VHS) with a specialisation in the Telecommunication System Subject. To achieve this objective, a research methodology combining document analysis, and interviews was employed. Through document analysis and semi-structured interviews with three subject matter experts among school personnel, pertinent data was gathered. The data encompassed the examination of the syllabus and lesson plans, which were subsequently subjected to meticulous scrutiny using the powerful Maxqda Software. The research findings demonstrate that the existing grading systems and qualification criteria for VHS students align significantly with the core competencies of ESD. However, it is noteworthy that the syllabus and Lesson Plans Study (RPP) themselves lack explicit integration of ESD principles. The effective implementation of Education for Sustainable Development (ESD) heavily relies on the proactive efforts of teachers. Additionally, it is crucial that both the curriculum and lesson plans (RPP) are meticulously revised to integrate key ESD competencies. This approach will help cultivate a generation that is more sustainable, environmentally aware, and socially responsible. © 2024, Penerbit UTHM. All rights reserved.

    Author keywords

    competency; Education for sustainable development; telecommunication; TVET; vocational high school


    This article can be accessed at: https://www.scopus.com/pages/publications/85213799038

  • Investigating Arabic Language Teaching Materials Based on Indonesian Folklore: An Ethnographic Study on The Folktale of “Bandung”

    Investigating Arabic Language Teaching Materials Based on Indonesian Folklore: An Ethnographic Study on The Folktale of “Bandung”

    Author: Mohamad Zaka Al Farisi ; Hikmah Maulani ; Adityo Baskoro Hardoyo ; Shofa Musthofa Khalid ; Nalahuddin Saleh

    DOI: 10.1108/AEDS-07-2023-0082

    Abstract

    Purpose: This research explores the potential incorporation of Indonesian folklore, particularly the folklore of the origin of Bandung, into Arabic language teaching materials. Integrating local cultural elements into language instruction can enhance students’ language learning experience and promote a deeper understanding of Indonesian culture. Design/methodology/approach: The origin city of Bandung is one of the famous folklore stories in Indonesia that originates from West Java. Through ethnographic studies, various aspects of the folklore of the origin of the city of Bandung will be examined, which can be utilized in Arabic language teaching. This includes analyzing the linguistic structure, vocabulary and cultural references embedded in the story. Additionally, we will explore how teachers can effectively incorporate this folklore into their teaching materials to create engaging and culturally relevant Arabic language lessons. Findings: This research aims to contribute to developing innovative and culturally responsive language learning by investigating the use of Indonesian folklore in Arabic language instruction. It aims to empower teachers and students by fostering a deeper appreciation of Indonesian culture while improving Arabic language proficiency. This approach enhances language learning outcomes, promotes cultural awareness and cultivates a deeper connection between students and the local culture. By embracing folklore, teachers can create dynamic and meaningful language learning experiences that empower students to become proficient Arabic speakers with a strong appreciation for Indonesian wisdom and culture. Research limitations/implications: Overall, using folklore as a foreign language teaching material provides significant advantages for students in developing a deeper understanding of language, cultural skills and interest in the language and culture being studied. This approach improves language learning outcomes, promotes cultural awareness and fosters deeper relationships between students and local culture so that foreign language (Arabic) learning is effective. By embracing folklore, teachers can create dynamic and meaningful language learning experiences that empower students to become proficient Arabic speakers with a strong appreciation for local Indonesian wisdom and culture. Practical implications: Practically, this involves understanding the social, political, economic or cultural context in which the folklore arose, as well as new interpretations that provide a broader understanding of the stories’ values, messages or conflicts. In contributing to knowledge, this research has implications for insight into linguistic knowledge and learning a second language in the norms of the first language without shifting the culture of the first language. Social implications: Empirically, this study combines an interdisciplinary approach to folklore research that can bring a new understanding of the relationship between folklore and other fields such as linguistics, literature, anthropology or psychology. This approach can produce a more comprehensive insight into folklore and its influence on various aspects of life. Contributing to social impact, introducing culture in learning materials is an educational tourism attraction for students. This also has an impact on public policy that tourism education about folklore is introduced as teaching and used as further field study for students. Originality/value: This research conceptualizes the diversity of Indonesian culture integrated into the instructional materials of Arabic language learning in Indonesia through folklore. To integrate folktales into the learning process, families, traditions and rituals need to play a role in preserving and educating. Researchers can develop new insights, broaden our understanding of culture and traditions and enrich our knowledge and cultural heritage. These new approaches have the potential to yield discoveries and a deeper understanding of folklore as an important cultural heritage. This research explores the potential incorporation of Indonesian folklore, particularly the folklore of the origin of Bandung, into Arabic language teaching materials. Integrating local cultural elements into Arabic language teaching for Indonesian speakers can enhance students’ language learning experience and promote a deeper understanding of Indonesian culture through Arabic language teaching as a foreign language. © 2024, Emerald Publishing Limited.

    Author keywords

    Arabic teaching; Ethnography; Folklore; Indonesian folklore; Teaching materials


    This article can be accessed at: https://www.scopus.com/pages/publications/85187936372

  • Design of an IoT-Based Sheep Health Monitoring System

    Design of an IoT-Based Sheep Health Monitoring System

    Author: Henny ; Saifan Fachri Azharan ; Agus Heri Setya Budi ; Enjang Akhmad Juanda ; I Made Aryantha Anthara

    DOI: 10.1109/INCITEST59455.2023.10396935

    Abstract

    This study aimed to develop and implement an IoT-based health monitoring system for sheep to accurately monitor vital physiological parameters, such as body temperature, pulse rate, and respiration rate. The system combined various IoT technologies, integrating the ESP32 microcontroller, ThingSpeak platform, and non-invasive sensors. Research and development methods, including system design, implementation, and testing, were utilized. Results showcased that the system effectively provided accurate and real-time monitoring of the targeted physiological parameters. Results demonstrate impressive sensor accuracy with over 90% precision in most instances. Body temperature measurements showed an average error of only 2.6%, while pulse rate measurements displayed an impressively low average error of just 1.2%. Respiration rate measurements exhibited a slightly higher average error at 7.55%. The implementation of this system allowed for early detection of potential health issues, leading to improved decision-making, livestock management, and animal welfare. The study’s impact lies in the advancement of non-invasive health monitoring systems for livestock and prospects for AI-assisted predictive analysis, automated decision-making, and extension to other livestock species for overall improvement in animal welfare and farm productivity. © 2023 IEEE.

    Author keywords

    animal welfare; body temperature; esp32 microcontroller; iot; livestock management; pulse ate; respiratory rate; sheep health monitoring; thingspeak esp-now


    This article can be accessed at: https://www.scopus.com/pages/publications/85185200172

  • Screening Hypertension Using Non-Laboratory Risk Factors with Machine Learning: A Retrospective Cross-Sectional Study in Indonesia

    Authors: Reza Ishak Estiko ; Bambang Widyantoro ; Dafsah Arifa Juzar ; Ramdhan Maulana Yusup ; Iqbal Fauzi Rakhmat ; Estiko Rijanto

    Abstract:

    Objective: This study aimed to screen for hypertension in a vast Indonesian population using machine learning (ML) and 11 non-laboratory risk factors, validating the results through internal and external validations.

    Setting and participants: From the initial 1 782 365 participants aged 15 and above registered at the Integrated Counseling Post primary care centres across Indonesia from 2014 to 2017, incomplete data and outliers were excluded, and 268 210 participants were included in our analysis. The dataset was split deterministically into a dataset for training using 10-fold internal cross-validation of 204 315 participants and another dataset for external validation of 63 895 participants.

    Design: This retrospective cross-sectional study used three ML algorithms, that is, random forest, gradient boosting and extreme gradient boosting (XGBoost), and compared them against logistic regression as a benchmark to screen hypertension based on the WHO and International Society of Hypertension criteria. The importance of the risk factors was ranked. By partly using continuous versus categorical age, waist circumference (WC) and body mass index (BMI) risk factors, we evaluated the screening performance regarding sensitivity and area under the receiver operating characteristic curve (AUC).

    Results: The external validations revealed that the XGBoost model performed the best in hypertension screening. The external validation, which partly uses continuous variables, provides 0.97 sensitivity and 0.75 AUC, indicating excellent screening capability. The importance rank of the risk factors was consecutively family history of hypertension (FH-HTN), age, WC, BMI, occupation, education, sex, smoking, low physical activity, lack of fruit or vegetable intake and alcohol consumption.

    Conclusions: By using 11 easy-to-collect non-laboratory risk factors, the ML model successfully screens for hypertension with better performance than the benchmark. Using the numerical variables of age, WC and BMI yields a better discrimination capability than the categorical variables. FH-HTN and age are the two top risk factors for the development of hypertension. This study is a useful academic exercise and shows ML’s importance in handling large data sets.


    This article can be accessed at https://bmjopen.bmj.com/content/15/8/e092364