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  • Performance Analysis for Soil Humidity Monitoring in Potato Plants Using Network Topology

    Authors: Frafana Arifudin Khawas ; Sri Supatmi

    DOI: 10.1063/5.0176475

    Abstract:

    Potatoes are a horticultural commodity that plays an important role in realizing food security. Monitoring soil moisture in the care of potato crops plays an important role in the growth and development of potatoes. There are many obstacles faced to able to supervise peatlands in Indonesia; an alternative surveillance method is needed that can reach difficult locations. One of the approaches taken is a collaboration between Wireless Sensor Network (WSN) technology and the microcontroller-based Internet of Things (IoT). The purpose of this research is to Design soil moisture sensor nodes on the network sensor wires so that the system has optimal monitoring. Implementing the Internet of Things (IoT) on the Wireless system so that the system can be accessed remotely, Comparing accuracy, distance, and speed on Tree and mesh topologies. The research method used in this research is descriptive analysis with a qualitative approach. Whereas in the application development process using Wireless Sensor Network. The system is integrated with the Internet of Things. It uses the ESP8266 as the processor of the created node sensor and uses the Raspberry Pi as the server of the entire system. The result shows that the system can be monitored remotely and make it easier for farmers to find out soil moisture. The main concept of this designing a website as an Interface that can provide information on sensors. In addition, Designing Wireless Sensor Network (WSN) and Tree, mesh, and bus network topology to receive and send data sensor nodes, implementing the Internet of Things (IoT) in the system so that the system can be monitored remotely and makes it easier for farmers to find out soil moisture. In the end, this application is present as an information medium to determine communication between sensor nodes in the agricultural world. The system also has an integrated feature with local agencies or regions to report soil moisture on potato plantations exceeding the specified humidity. © 2023 Author(s).


    This article can be accessed at https://www.scopus.com/pages/publications/85177585726

  • Geographic Information System (GIS) Application to Identify the Distribution of Tourist Attractions and Supporting Facilities Related to the Sustainable Development Goals (SDGs)

    Author: Lia Warlina ; Afredi A.

    DOI: 10.17509/ijost.v11i2.89803

    Abstract

    The purpose of this research is to examine the distribution patterns of tourism attractions, hotels, and restaurants, and to explore their implications for achieving the Sustainable Development Goals (SDGs) in Lembang District. To analyze these distributions, a quantitative approach was applied using nearest neighbor analysis and Geographic Information System (GIS) techniques. A total of 38 tourism attractions were identified, including 17 natural attractions, 17 artificial attractions, and four cultural attractions; all exhibiting dispersed distribution patterns. There are 32 hotels with random distribution patterns and 178 restaurants that are clustered. Natural attractions are characterized by hilly terrain, forests, valleys, and rivers, which result in physical separation between some sites. In contrast, artificial and cultural attractions tend to be concentrated in more accessible areas, particularly along main routes. Notably, villages such as Cikahuripan, Cikidang, Mekarwangi, Suntenjaya, Wangunharja, and Wangunsari contain tourism attractions but lack adequate supporting facilities, including hotels and restaurants. The spatial allocation of tourism attractions, accommodations, and restaurants significantly influences the achievement of the SDGs. Tourism contributes to 14 of the 17 SDGs, especially SDG 8 (promoting economic opportunities), SDG 1 (reducing poverty), and SDG 5 (advancing gender equality). © 2026 Tim Pengembang Jurnal UPI.

    Author keywords

    GIS; Nearest neighbor analysis; SDGs; Tourism attraction


    This article can be accessed at: https://www.scopus.com/pages/publications/105015322980

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

    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

  • 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