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  • Development of Innovative Model for Waste Management System Using Internet of Things (IoT) and Machine Learning

    Development of Innovative Model for Waste Management System Using Internet of Things (IoT) and Machine Learning

    Author: Dimas Akmarul Putera ; Ansarullah Lawi ; Filmada Ocky Saputra ; Sri Handayani ; Yun Arifathu Fatimahl ; Ivan Muhammad Reza ; Sholikun ; Zainal Arifin Hasibuan ; Alvendo Wahyu Aranski

    DOI: 10.1109/ICIC64337.2024.10957619

    Abstract

    Effective and efficient waste management system is a significant challenge in coastal areas. This research proposes the development of innovative model for waste management system using IoT and machine learning. The system consists of hardware such as cameras and image sensors installed in coastal locations to monitor the volume and types of waste. The image data collected from these devices is stored and analyzed using image processing techniques. The YOLO (You Only Look Once) algorithm is used to identify and classify the types of waste. The identified data is then used to train a machine learning model, which allows for the prediction of future waste volume and types. These predictions are used to optimize waste collection schedules, reduce operational costs, plan the types of waste processing, and minimize environmental impact. With this holistic approach, the system is expected to enhance the efficiency and sustainability of waste management, providing an innovative solution to waste management issues in coastal areas. © 2024 IEEE.

    Author keywords

    Environment; Image Processing; IoT; Machine Learning; Waste Management


    This article can be accessed at: https://www.scopus.com/pages/publications/105004578932?

  • Emerging Trends in Technology: Insights across Machine Learning, Digitalization, and Industry Applications

    Emerging Trends in Technology: Insights across Machine Learning, Digitalization, and Industry Applications

    Author: Senny Luckyardi, Euis Neni Hayati, Amirullah Abduh, Rosmaladewi R., Nuria Haristiani

    Abstract

    This study aimed to explore and analyse the emerging trends in technology, focusing on the applications of machine learning, digital transformation, and blockchain across various industries, with an emphasis on addressing key challenges, fostering innovation, and promoting sustainable solutions in business, education, and environmental conservation. This study employed various methodologies such as literature reviews, systematic analyses, and case-based designs. Key findings highlighted the application of machine learning techniques to predict cryptocurrency market trends despite its volatile nature, the potential of WebGIS technology in advancing environmental conservation efforts, and the role of blockchain in enhancing e-commerce security. The discussions also explored how these technologies are driving greater business efficiency, promoting environmental sustainability, and revolutionizing educational methods. Notably, this study emphasized the significance of adopting emerging technologies to tackle contemporary challenges, improve digital accessibility, and optimize both organizational and societal outcomes. Lastly, this study provided a comprehensive perspective on how technological advancements are shaping progress and delivering solutions across diverse industries. © School of Engineering, Taylor’s University.

    Keywords: Artificial intelligence; Bibliometric; Digitalization; Industry application; Machine learning

    This article can be accessed at https://www.scopus.com/pages/publications/85219044486

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

    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.

    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.

    Keywords: GIS; Nearest neighbor analysis; SDGs; Tourism attraction

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

  • The Impact of Infrastructure Construction on Air Quality

    The Impact of Infrastructure Construction on Air Quality

    Brandon Nathanael M., Firzanah Iffah S., Halena Fauziah Z., Kinanti Fathaya R., Hasna Hamidah, Irfan Dwiguna Sumitra

    DOI: –

    Abstract

    In numerous major urban centres, there is a frequent occurrence of infrastructure development in response to the demands of a growing population. These kinds of operations request significant infrastructure investments. However, it is imperative to acknowledge that construction projects generate greenhouse gas emissions, which, in turn, exert a notable influence on pollution levels. This research project seeks to determine the extent to which infrastructure development affects air quality. To achieve this objective, we collected samples measuring carbon dioxide (CO2) and carbon monoxide (CO) levels at various locations within the study area. The research was conducted at three distinct time intervals: morning, afternoon, and evening. The findings of this investigation revealed disparities in CO2 and CO concentrations across these time periods. This research serves as a pivotal benchmark for quantifying the volume of pollution stemming from infrastructure construction activities and its consequential effects on the overall air quality. © School of Engineering, Taylor’s University.

    Keywords: Construction; Infrastructure; Pollution

    This article can be accessed at https://www.scopus.com/pages/publications/85204738020

  • Contributing Factors to Greenhouse Gas Emissions in Agriculture for Supporting Sustainable Development Goals (SDGs): Insights from a Systematic Literature Review Completed by Computational Bibliometric Analysis

    Contributing Factors to Greenhouse Gas Emissions in Agriculture for Supporting Sustainable Development Goals (SDGs): Insights from a Systematic Literature Review Completed by Computational Bibliometric Analysis

    Author: Herman S.Soegoto; Muhammad Aria Rajasa Pohan;   Senny Luckyardi; Sri Supatmi; Eri Amasawa;  Santi Phithakkitnukoon; Zainal Arifin Hasibuan

    DOI: 10.17509/ajse.v5i2.83667

    Abstract

    Agricultural production contributes significantly to greenhouse gas (GHG) emissions and global climate change. This study conducts a systematic literature review to examine the evolution and drivers of agricultural GHG emissions. We analyzed Web of Science, Scopus, and Google Scholar data using bibliometric and thematic methods. Our analysis identified emission sources such as energy use, soil management, fertilizer application, and livestock management. It also discussed mitigation measures such as sustainable practices, precision agriculture, and renewable energy. The findings showed that crop cultivation, livestock activities, and land-use change remained key sources of emissions. Technological innovations and policy-driven strategies are reshaping the research landscape. This study provides a framework for understanding agricultural GHG emissions and supporting interventions to reduce the sector’s carbon footprint as well as Sustainable Development Goals (SDGs). © 2025 Kantor Jurnal dan Publikasi UPI.

    Keywords: Agricultural production; Emission sources; Greenhouse gas emissions; Mitigation strategies; Sustainable development goals (SDGs); Sustainable practices; Systematic literature review

    This article can be accessed at https://www.scopus.com/pages/publications/105006917187

  • Internet of Things Based Irrigation Monitoring System

    Internet of Things Based Irrigation Monitoring System

    Author: Eddy Soeryanto Soegoto;  Agis Abhi Rafdhi; Dina Oktafiani; Rizky Jumansyah.

    Abstract

    This study aims to monitor the sustainability of the irrigation system through a smartphone application. This research method used primary and secondary data collection methods, supported by quantitative descriptive analysis and prototyping design. The research result is an application design that is easy to understand and use in regular irrigation system monitoring activities. Based on the design, results show that the design of the application display is equipped with information features of water quality, water level, water discharge, and irrigation gate location points. Therefore, this research is examined regarding the constraints when monitoring agricultural irrigation, agricultural irrigation systems, and the needs of farmers in the application design used. The design of this irrigation system application is expected to help farmers increase agricultural production to support the concept of a green economy in the agricultural sector. © 2022 Taylor’s University. All rights reserved.

    Keywords: IoT; Irrigation; Monitoring system

    This article can be accessed at https://www.scopus.com/pages/publications/85136174030

  • Design and Build a Water Quality Measurement System with Multi Depths Using the RS-485 Protocol Based on Android Smartphone

    Design and Build a Water Quality Measurement System with Multi Depths Using the RS-485 Protocol Based on Android Smartphone

    Author: Anadita Rizti Oktavia; Jana Utama

    DOI: 10.1063/5.0176606

    Abstract :

    The management of water resources, especially lake or reservoir ecosystems, must be considered. What is currently happening is that the measurement of water quality in aquaculture is usually measured only on the surface of the water, because it will not always be above the water surface, so it is necessary to design a sensor system that can measure air conditions at various certain depths. System design sensors for physical and chemical air quality at multiple depths, where the sensors used are temperature sensors and pH sensors. To measure the depth of this system utilizes a pulley system which is inserted a rotary encoder. Where from the length of the rope being pulled/stretched it can be determined how many meters the depth is measured. In addition, the data obtained will be sent via the RS-485 protocol and saved to the Data Logger and this system is also equipped with a measurement location. All information will be accessible using an Android Smartphone using a local server via Bluetooth in the application that has been provided. The test results of the device consisting of a temperature sensor have an error of 1%, a pH sensor of 3.1%, and depth measurements using a rotary encoder have an error of 0.77%. Direct testing was carried out at 3 different locations and it was found that the difference in air depth affects the temperature and pH of the air where the deeper the air, the lower the temperature. Changes in the pH value to the depth of the air also have an effect because when you get a lot of heat intensity from sunlight, the surface temperature will increase, so the solubility of carbon dioxide will decrease so that the pH will also increase and the air is alkaline. © 2023 Author(s).This article can be accessed at https://www.scopus.com/pages/publications/85177584618

  • Development of a Prototype Water Storage Tank Pump for Watering Plant using Internet of Things (IoT) with Solar Energy

    Development of a Prototype Water Storage Tank Pump for Watering Plant using Internet of Things (IoT) with Solar Energy

    Author: H. Henny ; Agus Heri Setya Budi ; Muhammad Aditya; Ramli, Nur Izzati; Alias Masek

    DOI: 10.1109/INCITEST64888.2024.11121424

    Abstract

    The lack of water causes the growth of plants to become stunted. Despite that, system of harvesting water supply for watering plant uses conventional methods that require manpower to control and monitor the process of pumping water. As a result, the automatic Harvesting Water in Storage Tank system can fix the problem. To address the problem of difficulty ensuring adequate water supply for watering plant, IoT and solar energy were developed. The ESP32 built with a Wi-Fi module utilized as a controller system to communicate with the system. The scope of the study was decided before the design was created to ensure that the prototypes produced could meet the objectives set. The goal of this project is to ensure that this water harvesting system can be controlled using wireless technology. The Blynk app is used on a smartphone to control the pump for harvesting water and monitor level of water in the storage tank. Users merely need to open the system in their smartphone to monitor the percentage of water capacity detected by the ultrasonic sensor. These conditions are indicated with three LED for each condition which red (low), yellow (medium) and green (full). The project also uses solar energy, which will save the farmers money and eliminate the use of petrol to produce power for pumping water supply. Therefore, it can be concluded that the study successfully developed a system that addresses the problem of making agricultural work easier. © 2024 IEEE.

    Keywords: harvesting water; IoT; solar energy; water levelThis article can be accessed at https://www.scopus.com/pages/publications/105015880393

  • 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

    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: Luckyardi, Senny; Fahrezi, Muhamad; Soegoto, Eddy Soeryanto

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

  • Congratulations and best wishes to Prof. Dr. Hj. Dewi Kurniasih, S.IP., M.Si., on her appointment as Professor of Sociology.

    Congratulations and best wishes to Prof. Dr. Hj. Dewi Kurniasih, S.IP., M.Si., on her appointment as Professor of Sociology.

    The Rector and Academic Community of UNIKOM extend their warmest congratulations and best wishes to:

    Prof. Dr. Hj. Dewi Kurniasih, S.IP., M.Si. Dean of the Faculty of Social and Political Sciences (FISIP) UNIKOM

    On her appointment as Professor of Sociology of Government.

    This achievement is a testament to her dedication, leadership, and consistent academic contributions to the advancement of knowledge, particularly in the field of sociology of government.

    May this accomplishment further strengthen UNIKOM’s role in shaping thinkers and leaders of integrity and competitiveness, who make tangible contributions to the progress of society and the enhancement of higher education quality in Indonesia.