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  • Effect of Population Density on Water Quality and Economic Impact

    Effect of Population Density on Water Quality and Economic Impact

    Author: Poni Sukaesih Kurniati, Anisa Ega Oktavia, Rizky Jumansyah, Raiswati Untsa Mega, Muhammad Sulthan Pasha, Isma Widiaty

    Abstract

    The purpose of this study is to see the effect of population density on the quality of water clarity and the economic impact. The method used in this study is sampling method at three sample locations. The results of this study indicate that population density can affect the water quality and economy of the surrounding community. From this result, it can be seen from consumptive community activities that can increase household waste that can affect water quality. This data is expected to be a solution to reduce water pollution which can affect water quality in the community and improve the economy of the community. © 2019 University of Kuwait. All rights reserved.

    Keywords: Economic impact; Education; Population density; Water quality

    This article can be accessed at https://www.scopus.com/pages/publications/85074555479

  • Analysis of Simple, Rapid and Portable Tools for Analyzing Air Pollution (i.e., PM1, PM2.5, PM10, CO, and CO2)

    Analysis of Simple, Rapid and Portable Tools for Analyzing Air Pollution (i.e., PM1, PM2.5, PM10, CO, and CO2)

    Author: Bobi Kurniawan Soegoto, Dedi Soegoto, Ajeng Resti Handayani, Muhammad Yusup, Natasha Puspa Dewi, Ade Gafar Abdullah

    Abstract

    The research aims to show a simple, rapid, portable, and inexpensive analysis of an air quality measurer tool. In contrast to others, these three tools consisted by air quality measurer tool based on particulates, CO2 meters for measuring the quality of carbon dioxide, and carbon monoxide meters as carbon monoxide quality measurer tool. The advantages of these three tools are being easy to use and used anywhere (portable). The total analysis costs less than 1,100 USD, while the price of air quality measurer tool that is commonly used by researchers can reach more than 6,000 USD. So, these three tools are worth to be used and effective as supporting media in developing countries. This research method used qualitative analysis by analyzing air quality using these three tools by focusing on functional water quality meters. The results of this study indicate that the use of portable tools makes it easier to retrieve air quality measurement data because it is more efficient in terms of cost and time. In conclusion, this study can be used as a reference information for further studies in examining air pollution. © 2019 University of Kuwait. All rights reserved.

    Keywords: Air pollution; Air quality; Measure tool

    This article can be accessed at https://www.scopus.com/pages/publications/85074572961 

  • Monitoring Application for Clean Water Access and Clustering Using K-Means Algorithm

    Monitoring Application for Clean Water Access and Clustering Using K-Means Algorithm

    Author: Radliya N.R., Fachrizal M.R., Rabbi A.R.

    DOI: 10.1088/1757-899X/662/2/022096

    Abstract

    The purpose of this research is to develop a monitoring application of clean water access for the community and determining areas that need to improve access to clean water. Data collection was done by examining documents which were related to clean water management and conducting interviews with the Department of Housing and Settlement of West Java Province. The results of data collection are used to develop a clean water monitoring application system based on Android and Web. Data from the application will be used for clustering with the K-Means algorithm. For example, in the city of Bandung, 12 urban village areas were recommended for increasing access to clean water. The area has a percentage of ownership of clean water access approaching the value of 29.96% of the ownership of clean water sources for food and drink, 28.96% for ownership of other sources of clean water and 14.48% for ownership of reserves of clean water. The optimal number of clusters of clean water access in the city of Bandung is three clusters because it has the lowest Davies-Bouldin Index (DBI) value of 0.439. © Published under licence by IOP Publishing Ltd.

    This article can be accessed at https://www.scopus.com/pages/publications/85075872024

  • River Water Monitoring System Using Internet of Things to Determine the Location of River Pollution

    River Water Monitoring System Using Internet of Things to Determine the Location of River Pollution

    Author: Agus Heri Setya Budi, Enjang Ahmad Juanda, Iwan Kustiawan, Najmi Najib Nasrulloh Kurniadi, Henny H.

    Abstract

    The purpose of this study is to develop river water monitoring system to determine the location of river pollution. Three monitoring points are carried out, if there are changes in water parameters that exceed the threshold, system can respond by sending a notification via “Telegram” and Web-based Application. The system has been successfully sent notifications when there is a change in the value of the monitored water parameters, temperature, noise, and water pH. The system can process any incoming data then do the calculation according to the program that has been created. It can produce the classification of the status of a condition: safe, warning, or danger and provide coordinate the location of river pollution. This system is very suitable to be applied to the water resources information system management team and the water pollution control task force. © School of Engineering, Taylor’s University

    Keywords: Coordinate the location; Education; Internet of Things (IoT); Monitoring; Pollution

    This article can be accessed at https://www.scopus.com/pages/publications/85114294316

  • A systematic Literature Review of Internet of Things for Higher Education: Architecture and Implementation

    A systematic Literature Review of Internet of Things for Higher Education: Architecture and Implementation

    Author: Eddy Soeryanto Soegoto, Herman Soegoto, Dedi Sulistiyo Soegoto, Suryatno Wiganepdo Soegoto, Agis Abhi Rafdhi, Herry Saputra Dina Oktafiani

    DOI: 10.17509/ijost.v7i3.51464

    Abstract

    The objectives of this paper are to analyze the implementation and architecture of the Internet of Things (IoT) from previous studies, specifically in the world of higher education; offer recommendations for future research, as well as strengthen the theory of IoT architecture that already exists in higher education. This study employed a systematic literature review (SLR) with data collection utilizing Funnel Diagrams to select articles based on their relevance to the research question. The three publisher databases (Scopus, Emerald, and EBSCO) and index journals were utilized in the search for articles. A total of 1,200 articles were gathered from these three sources, with distributions of up to 800 in Scopus, 150 in Emerald, and 250 in EBSCO. The findings demonstrate that the existing IoT architecture has a more sophisticated model than the fundamental idea, which has three layers, implying that using IoT in education may have a significant influence on user convenience. This is due to the increasingly complicated requirements of higher education’s many business procedures. This study serves as an inspiration and reference for future research for higher education institutions that include the Internet of Things in their implementation to build an efficient teaching and learning environment. © 2022 Tim Pengembang Jurnal UPI.

    Keywords: Attached growth; Biofilm; Biological wastewater treatment; Rotating biological contactors

    This article can be accessed at https://www.scopus.com/pages/publications/85139963290

  • The Factors that Affect Collective Action of Farmer’s Organizations in Rural Area

    The Factors that Affect Collective Action of Farmer’s Organizations in Rural Area

    Author: Aulia S.A., Sofhani T.F.

    DOI: 10.1088/1757-899X/662/4/042005

    Abstract

    This study aims to uncover the factors that influence the emergence and sustainability of collective action of FOs. Furthermore, this study analyzes the effect of collective action on the increasing economies of scale and efficiency of FOs’ members. The content analysis method was applied in this research. The case study involved Farmers’ Organizations located in Kalangsuria Village, Rengasdengklok Sub-district, Karawang Regency. Much research has been conducted on Gabungan Kelompok Tani (Gapoktan) or Farmers’ Organizations (FOs) as farmers’ institutions that perform collective action in the agribusiness from the input process to the processing process. However, previous research has not much explored the factors influencing the emergence of agribusiness collective action in FOs. The limitation of previous research leads to the failure to understand the emerging issues of processes and mechanisms of collective action within FOs. Agribusiness activities carried out collectively by Gapoktan Sri Mulya are related to the social bonding and social bridging to a willingness to do agribusiness activities collectively. However, collective action in agribusiness production is not optimal, particularly in anticipating climate change. It was because the factors of human capital, such as education and knowledge of farmers in developing rice farming can also affect the efficiency of farming. © 2019 IOP Publishing Ltd. All rights reserved.

    Keywords: Climate change; Economics; Efficiency; Regional planning; Rural areas


    This article can be accessed at https://www.scopus.com/pages/publications/85075856234

  • Air Quality Monitoring System for Cyclist

    Air Quality Monitoring System for Cyclist

    Author: Aria M.,  Wangsanegara T., Kurniawan F., Maulana T.

    DOI: 10.1063/5.0129192

    Abstract

    In recent years, emissions of toxic gasses caused by burning fossil fuels, industrial production, and vegetation loss have made air pollution even worse. The concentration of harmful gasses and particulates increased in the atmosphere. Air quality influences human health, especially the particulate matter that affects the respiratory system of people. To find out the level of air pollution for bicycle users, we need an instrument to detect pollution levels in the air that functions as a monitor of pollution levels and early detection in air pollution, so it becomes a reference for bicycle users in knowing their area of cycling whether or not it has good air quality. The system development method in this study used the prototype method because this method can be easily evaluated and implemented in stages. The device’s hardware consists of three sensors: gas sensors MQ-7, MQ-135, and a DHT-11 Humidity sensor. The device has three sensors attached with an Arduino. The air quality measurement device generates real-time air pollutants monitor from the sensor and shows the information using the Liquid Crystal Display (LCD). In conclusion, it is affordable, user-friendly, low-cost, and minimum-power requirement hardware and comprehensible data collection. It is helpful for the bicycle user to be concerned about the health of air condition near the cyclist area. © 2023 Author(s).

    Keywords: air quality; cyclist; Monitoring system

    This article can be accessed at https://www.scopus.com/pages/publications/85177557112

  • Ethical and Secure AI Applications in Agricultural Research: Challenges and Opportunities

    Ethical and Secure AI Applications in Agricultural Research: Challenges and Opportunities

    Author: Hewa Majeed Zangana, Senny Luckyardi, Firas Mahmood Mustafa, Shuai Li

    DOI: 10.4018/979-8-3373-4252-8.ch002

    Abstract

    The integration of Artificial Intelligence (AI) into agricultural research has introduced transformative innovations that promise increased productivity, sustainability, and precision in farming practices. However, the rapid advancement and deployment of AI systems in this domain also bring significant ethical and security concerns. Issues such as data privacy, algorithmic bias, equitable access, environmental impacts, and transparency present complex challenges that must be carefully navigated. This chapter explores the critical ethical considerations and security risks associated with AI applications in agricultural research, while also highlighting the immense opportunities for advancing scientific understanding, improving food security, and promoting sustainable practices. By examining current trends, case studies, and regulatory frameworks, the chapter provides a comprehensive overview of how agricultural AI can be ethically and securely developed and deployed, ensuring that innovation serves both humanity and the environment responsibly. © 2025, IGI Global Scientific Publishing. All rights reserved.

    Keywords: Agriculture; Artificial intelligence; Environmental impact

    This article can be accessed at https://www.scopus.com/pages/publications/105008416715

  • Governing AI-Driven Agriculture: Policy, Ethics, and the Role of Language in Knowledge Transfer

    Governing AI-Driven Agriculture: Policy, Ethics, and the Role of Language in Knowledge Transfer

    Author: Hewa Majeed Zangana,  Pratiwi Amelia, Senny Luckyardi, Firas Mahmood Mustafa, Shuai Li

    DOI: 10.4018/979-8-3373-4862-9.ch011

    Abstract

    Artificial intelligence (AI) is transforming agriculture by enabling precision farming, predictive analytics, and automated decision-making, thereby enhancing productivity and sustainability. However, this rapid technological advancement raises complex policy and ethical challenges, particularly regarding data governance, equitable access, environmental impact, and transparency. This chapter explores the regulatory frameworks shaping AI-driven agricultural practices and emphasizes the critical role of language in facilitating effective knowledge transfer among diverse stakeholders, including farmers, policymakers, and researchers. By analyzing interdisciplinary approaches, the chapter highlights how linguistic clarity and ethical considerations underpin responsible AI governance in agriculture, ensuring innovations serve public interest while mitigating risks. Ultimately, it advocates for comprehensive policies that balance innovation with accountability and inclusivity in the evolving landscape of agri-tech. © 2025, IGI Global Scientific Publishing.

    Keywords: Agribusiness; Agriculture; Artificial intelligence

    This article can be accessed at https://www.scopus.com/pages/publications/105011884709

  • How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    Penulis: Senny Luckardi; Agis Abhi Rafdhi; Annisa Wulan Sari; Hewa Majeed Zangana; Eddy Soeryato Soegoto

    DOI: 10.17509/ajse.v6i1.89992

    Abstract

    This study explores how to improve the productivity of hydroponic leafy vegetables by balancing Total Dissolved Solids (TDS) and nutrient solution pH. Using bok choy in a floating raft system, the research applies a controlled experimental design to observe how these parameters interact in supporting vegetative growth and yield. Daily monitoring and careful adjustment of nutrient levels and pH are emphasized to ensure optimal nutrient uptake. Balanced TDS and pH conditions enhanced leaf formation and biomass accumulation, while imbalances caused nutrient stress and growth inhibition. This study offers practical guidance for growers to synchronize TDS and pH in real-time for improved nutrient management. The findings contribute to precision hydroponics aligned with sustainable agriculture, specifically supporting sustainable development goals (SDGs) for SDG 2 (Zero Hunger) through efficient food production and SDG 12 (Responsible Consumption and Production) by encouraging optimal use of agricultural inputs. © 2026 Universitas Pendidikan Indonesia.

    Keywords: Hydroponic; Leafy vegetable; pH; Sustainable development goals (SDGs); Total dissolved solids (TDS)

    This article can be accessed at https://www.scopus.com/pages/publications/105018607274