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  • 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

  • Management Study Program of FEB UNIKOM Holds a Google Workspace-Based AI Workshop: Encouraging Adaptive and Competitive Graduates

    Management Study Program of FEB UNIKOM Holds a Google Workspace-Based AI Workshop: Encouraging Adaptive and Competitive Graduates

    BANDUNG, UNIKOM – The Management Study Program of the Faculty of Economics and Business (FEB) of Universitas Komputer Indonesia (UNIKOM) remains committed to providing learning relevant to technological developments. This commitment was realized through the Google Workspace Workshop themed “AI For Students: Skills You Need to Thrive in the AI Era” which was held on Saturday, January 24, 2026, at the Miracle Auditorium on the 4th floor of UNIKOM Campus I.

    Attended by 7th semester Management Study Program students, the workshop aimed to equip students with strategic skills in facing the era of artificial intelligence (AI), particularly in the context of academia and the professional world.

    The Head of the Management Study Program, Assoc. Prof. Dr. Raeni Dwi Santy, S.E., M.SI, CIMA., outlined the latest vision and mission of the Management Study Program, where the AI and Google Workspace workshop is a concrete implementation of the program’s vision and mission focused on strengthening economic and business competencies based on artificial intelligence and digital technology. “Google Workspace Day was held to optimize the utilization of UNIKOM’s collaboration with Google in supporting academic activities and the development of students’ digital competencies. With an emphasis on economic and business development based on artificial intelligence and digital technology,” she said. Furthermore, Assoc. Prof. Dr. Raeny emphasized that mastery of AI and digital literacy are important competencies that students must have in order to be able to utilize technology in data analysis, scientific writing, and decision making, so that graduates are ready to compete and adapt to the demands of the world of work in the digital era.

    The workshop directly supports the study program’s vision to become a center for the development of economic and business knowledge and practices that are adaptive to digital transformation and have a global perspective. The use of AI in academic activities reflects the institution’s commitment to responding to the dynamics of the professional world and industry, which increasingly demands mastery of smart technology.

    Meanwhile, the Dean of FEB UNIKOM, Prof. Dr. Siti Kurnia Rahayu, S.E. M.Ak., Ak, CA., in her opening remarks, fully supported the faculty and study program in strengthening technological and AI literacy in the academic environment. Prof. Siti Kurnia also stated that AI is expected to be used ethically to help students complete assignments, work on large projects, and improve learning effectiveness, particularly in the context of academic activities such as community service programs and digital competency development. “Through the Google Workspace workshop, FEB UNIKOM encourages the strengthening of the digital workforce among the academic community as part of the implementation of the institution’s vision, and appreciates the initiative of the Management Study Program, which is expected to be replicated by other study programs,” she concluded. 

    The activity then continued with a presentation session from the main speaker, Ahmad Fikri Zulfikar. In his presentation, he raised the topic “Gemini in Higher Education: AI Era Skill,” which discussed the use of AI technology, particularly Gemini in the Google Workspace ecosystem, as a tool to support learning, collaboration, and increase student productivity in higher education.

    On this occasion, participants were invited to understand how AI can be used ethically and effectively to support academic writing, data analysis, time management, as well as idea development and decision making. The enthusiasm of the participants was evident, especially during the discussion and Q&A session, which opened up a dialogue on the opportunities and challenges of using AI in education.

    Through this workshop, the Management Study Program provided students with a conceptual understanding of AI technology, and it is expected that students will be able to master practical skills relevant to industry needs. This activity is also part of UNIKOM’s efforts to produce graduates who are adaptive, innovative, and ready to compete in the era of artificial intelligence-based digital transformation.

  • 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