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  • Interaction between Marine Sectors using System Dynamics for Patimban Deep Sea Port as a Green Port: A Proposed Model

    Interaction between Marine Sectors using System Dynamics for Patimban Deep Sea Port as a Green Port: A Proposed Model

    Author: Tatang Suheri ; Mohammad Benny Alexandri ; Sam’un Jaja Raharja ; Margo Purnomo; Sparisoma Viridi

    DOI: 10.1088/1755-1315/799/1/012021

    Abstract

    Based on Marine Policy Statement (MPS) some sectors are chosen as the key elements, whose interactions are modeled using system dynamics (SD). They are port, commercial shipping, marine protected area, and commercial fishing. Besides those, according to MPS and beyond the coastal area conversion of agricultural land into the industrial area due to commercial shipping, maintenance of state roads due to port (shifting from Tanjung Priok port), redistribution of population, and environmental aspects will also be taken into account in the model. Some of the elements will construct reinforcing (R+) loops, while the others construct balancing (B-) loops in finding an equilibrium or solution. Several scenarios are proposed, where each has a different set of parameters, that can reflect a certain policy. Due to the lack of certain data and information related to the deep seaport, most of the data used in this work are based on assumptions but with a logical causal relationship between elements. It is observed that some features in the results are as expected, but some are new and depend on the chosen scenario. Further benchmarks with real situations are required for validation of the model. © Published under licence by IOP Publishing Ltd.

    Indexed keywords

    Engineering controlled terms

    Agricultural robots; Coastal engineering; Conservation; Fisheries; Marine engineering; Ships; Sustainable development; System theory

    Engineering uncontrolled terms

    Agricultural land; Causal relationships; Commercial fishing; Commercial shipping; Data and information; Environmental aspects; Marine protected area; System Dynamics

    Engineering main heading

    Ports and harbors

    This article can be accessed at: https://www.scopus.com/pages/publications/85112407397?

  • Go-Cocoserv As A Coral Reef Conservation Service Based on Characteristics of Breeding Locations

    Go-Cocoserv As A Coral Reef Conservation Service Based on Characteristics of Breeding Locations

    Author: Andri Sahata Sitanggang ; Novrini Hasti ; Fenny Syafariani R.

    DOI: –

    Abstract

    This research aims to create cultivation of seedlings’ online donation applications to increase coral reef locations, especially for locations that had a lot of damage. The application is implemented using the GIS method, which is determined by coordinating points in each coral reef area, and these coordinates will be integrated with an image that is linked to information on the condition of coral reefs. This research result is a donation application, where people can make donations by purchasing coral reef seeds and planting them by coral reef farmers based on the coral reef location chosen by the community. It is aimed at accelerating the healing of damaged coral reefs in a coastal area in West Java. So with this technology, it can encourage people to easily participate in saving coral reefs so that the conservation process or planting coral reef seedlings can be carried out sustainably, and it is hoped that the amount of damage to coral reefs can be reduced. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Conservation; Coral reef; Donation online; GIS; System; Web


    This article can be accessed at: https://www.scopus.com/pages/publications/85121150998?

  • Automatic aquarium based on internet of things and development of water control system

    Automatic aquarium based on internet of things and development of water control system

    Author: Aria M. ; Aditiya V. ; Mardika A.S. ;Nugroho H.S.

    DOI: 10.1063/5.0129189

    Abstract

    This research paper discusses the design of Internet of Things (IoT)-Based Automatic Aquarium and Water Control System Development”. This research aims to develop an aquarium system that can provide fish feed automatically and drainage on water based on water turbidity in the aquarium. Not only will it provide automatic feed for fish in the aquarium, but this research will also create a system intended to monitor aquarium conditions by creating an Android-based system to monitor it. The method used in this research is to use Mega Arduino as the brain of the whole system. In addition to Arduino, there will be several other additional components to achieve the objectives we hope for in this study. As technology development is now advanced, this tool can help us as aquarium users will be easier in terms of maintenance for aquariums. This research’s benefits are expected to make maintaining fish in an aquarium very easy and practical, and can save time because it already uses an automated system that utilizes various sensors that already exist. This research tool can solve problems that occur in the community, especially in terms of aquarium maintenance. © 2023 Author(s).

    Author keywords: automatic aquarium; IoT; water control system


    This article can be accessed at: https://www.scopus.com/pages/publications/85177568318?

  • 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 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?

  • Visual Assessment of Landscape Elements at Summarecon Park, Bandung

    Visual Assessment of Landscape Elements at Summarecon Park, Bandung

    Author: Dhini Dewiyanti, Seftiyandi Kurniawan, Tri Widianti Natalia, Nova Chandra Aditya

    DOI: 10.1063/5.0254657

    Abstract

    Residential complexes usually have various complete facilities to support the comfort of their residents. One of them is a green open space or park, which in addition to functioning for reforestation of the area, is also usually used for various kinds of community activities. Several new residential complexes currently feature many regional parks with aesthetic and elegant designs, which of course are the ideas of developers with the aim of improving the image of the area as one of the well-ordered and prestigious settlements. The applied landscape elements usually consist of softscape and hardscape elements. The purpose of this research is to evaluate the visual value of the softscape and hardscape elements. The research was explored through field observations of the physical aspects and activities carried out by park users, which was then carried out on an assessment of the indicators determined based on the literature study. The activity was carried out in the Summarecon Park residential area, Bandung. The results of the assessment provide an indication of: 1) visual assessment; 2) garden use. © 2025 Author(s)..

    This article can be accessed at https://www.scopus.com/pages/publications/85219175875

  • 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