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  • The Role of Civil Society Organizations in Promoting Social and Political Change in Indonesia

    The Role of Civil Society Organizations in Promoting Social and Political Change in Indonesia

    Authors: Yudi Rusfiana, Dewi Kurniasih

    DOI: 10.29333/ejecs/2154

    Abstract

    Civil Society Organizations (CSOs) serve as vital pillars of societal progress, fostering transparency, accountability, and citizen participation in governance while advocating for human rights, social justice, and environmental sustainability. This study investigates the role of Civil Society Organizations (CSOs) in promoting social and political change in Indonesia. Employing a qualitative research design, data were collected through document analysis and in-depth interviews. Thematic analysis was used to analyze the data, identifying patterns and themes related to CSO strategies, interactions with the state, impact on policy, and challenges CSOs in Indonesia employ diverse advocacy strategies, including lobbying, public campaigns, grassroots mobilization, and coalition-building, to advance social and political change. They engage with policymakers and government agencies to influence legislation and shape policies. Despite facing challenges, CSOs are crucial in promoting government accountability, transparency, and civic engagement. Recognizing the vital role of CSOs in promoting democratic governance and social justice can foster greater collaboration between civil society, government, and the international community. This study contributes to political science, social sciences, and development studies by offering a comprehensive examination of the role of CSOs in Indonesia. It fills a significant gap in the academic literature by systematically analyzing CSOs’ strategies, interactions, impacts, and challenges, providing valuable insights for future research and policy development. Additionally, it underscores the importance of civil society in promoting democratic governance and social change in emerging democracies. © 2024, Florida Gulf Coast University. All rights reserved.

    Keywords: Civil Society Organizations; democratic governance; social justice; societal progress

    This article can be accessed at https://www.scopus.com/pages/publications/85205838905

  • Geospatial Intelligence Framework for BTS Infrastructure Planning toward Universal Internet Access Target in Indonesia

    Geospatial Intelligence Framework for BTS Infrastructure Planning toward Universal Internet Access Target in Indonesia

    Authors: Anjar Dimara Sakti, 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

    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)

    Keywords: Internet accessibility; Machine learning; Remote sensing; Spatial assessment

    This article can be accessed at https://www.scopus.com/pages/publications/85209593186

  • Social Welfare of Rural Communities as a Function of Social Workers’ Empowerment

    Social Welfare of Rural Communities as a Function of Social Workers’ Empowerment

    Authors: Dewi Kurniasih, Maisya Chaluela Anjani

    DOI: 10.29333/ejecs/2350

    Abstract

    Social workers play an important role in uplifting rural communities’ living standards. Considering the important role of social work services in dealing with the existence of potential issues of poverty and poor economic conditions in rural communities, more specifically in emerging economies, the current study integrated the community-based targeting view with empowerment theory to determine the social workers’ role in achieving community welfare in rural areas. Using rural household survey data from 597 households from 15 rural communities in two provinces of Indonesia, modern statistical tools, that is, SmartPLS analyzed the data. Results showed that social workers’ work relationships, skills and varieties, and moral alignment with rural communities enhance their empowerment qualities. The empowerment of social workers further transmits the significance of their role in helping rural communities bring economic development and welfare by providing basic needs of education, health facilities, employment opportunities, etc. The current study findings are valuable for practitioners and policymakers, specifically for focusing on rural community development programs by utilizing social workers’ efforts and extending their social networks to extract maximum benefits. © 2025, Florida Gulf Coast University. All rights reserved.

    Keywords: community welfare; community-based targeting; empowerment; Moral alignment; rural community; skills; social worker


    This article can be accessed at https://www.scopus.com/pages/publications/105004284382

  • Chili Plant Monitoring System Using YOLO Object Detection Technology

    Chili Plant Monitoring System Using YOLO Object Detection Technology

    Authors: 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.

    Keywords: Agriculture; Chile plants; Research and development; Smart farming; YOLO


    This article can be accessed at https://www.scopus.com/pages/publications/105002405701

  • Analysis and Design of Web-Based Intelligent Tutoring System in the Learning System of the Indonesian National Armed Forces

    Analysis and Design of Web-Based Intelligent Tutoring System in the Learning System of the Indonesian National Armed Forces

    Authors: Bobi Kurniawan, Meyliana M, Harco Leslie Hendric Spits Warnars, Bambang Suharjo

    Abstract

    This study aims to analyse and design software for a web-based intelligent tutoring system that increases the effectiveness and adaptability in a learning process in the Indonesian National Armed Forces environment by personalizing students. This research method adopts unified modeling language (UML) used as a framework for designing an intelligent tutoring system in learning based on student personalization. This ITS system was developed based on a responsive model that has been developed based on components and sub-components identified from the literature review process in our previous study. The implementation of this intelligent learning system based on student personalization is expected to increase learning motivation, provide more specific feedback, and students get material according to their individual learning styles. © School of Engineering, Taylor’s University.

    Keywords: Adaptive; Intelligent tutoring system; Learning style; Military; Unified modelling language

    This article can be accessed at https://www.scopus.com/pages/publications/105002428940

  • Internet of Things-Based Child Stunting Detection System for Supporting Sustainable Development Goals

    Internet of Things-Based Child Stunting Detection System for Supporting Sustainable Development Goals

    Authors: Syahrul S, Sri Nurhayati, Mochamad Fajar Wicaksono, Tiara Nurul Fatimah

    Abstract

    This research focused on the real-time detection of child stunting using measurement tools powered by Internet of Things (IoT) technology. Child stunting refers to a condition characterized by impaired height growth that does not align with a child’s age. One of the government’s primary strategies to combat stunting is through Posyandu (Indonesian community-level health service centers) that play a vital role in public health initiatives. Currently, most Posyandu in Indonesia rely on manual methods for monitoring child nutrition, with limited adoption of IoT technology for this purpose. This research introduced a system comprising both hardware and software components to address this gap. The hardware includes a load cell sensor for measuring weight and an ultrasonic sensor for measuring height. These sensors are integrated with an ESP32 microcontroller for data processing. The software component is a web-based application that receives data transmitted from the hardware via IoT technology. During testing, the hardware demonstrated accurate measurements of children’s weight and height, with an average error of only 0.14 kg for weight and 0 mm for height. Furthermore, the web application performed reliably, providing stunting detection information with a 100% success rate. This study supports Sustainable Development Goals (SDGs). © School of Engineering, Taylor’s University.

    Keywords: Internet of things; Microcontroller ESP32; Sensor electronics; Sensor load cell; Stunting

    This article can be accessed at https://www.scopus.com/pages/publications/85219072040

  • Internet of Things-Based Child Stunting Detection System for Supporting Sustainable Development Goals

    Authors: Syahrul S, Sri Nurhayati, Mochamad Fajar Wicaksono, Tiara Nurul Fatimah

    Abstract

    This research focused on the real-time detection of child stunting using measurement tools powered by Internet of Things (IoT) technology. Child stunting refers to a condition characterized by impaired height growth that does not align with a child’s age. One of the government’s primary strategies to combat stunting is through Posyandu (Indonesian community-level health service centers) that play a vital role in public health initiatives. Currently, most Posyandu in Indonesia rely on manual methods for monitoring child nutrition, with limited adoption of IoT technology for this purpose. This research introduced a system comprising both hardware and software components to address this gap. The hardware includes a load cell sensor for measuring weight and an ultrasonic sensor for measuring height. These sensors are integrated with an ESP32 microcontroller for data processing. The software component is a web-based application that receives data transmitted from the hardware via IoT technology. During testing, the hardware demonstrated accurate measurements of children’s weight and height, with an average error of only 0.14 kg for weight and 0 mm for height. Furthermore, the web application performed reliably, providing stunting detection information with a 100% success rate. This study supports Sustainable Development Goals (SDGs). © School of Engineering, Taylor’s University.

    Keywords: Internet of things; Microcontroller ESP32; Sensor electronics; Sensor load cell; Stunting

    This article can be accessed at https://www.scopus.com/pages/publications/85219072040

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

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

    Authors: 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

  • K-Means Clustering for Crime Cluster Analysis in District Prosecution Office of Indramayu

    K-Means Clustering for Crime Cluster Analysis in District Prosecution Office of Indramayu

    Author: Aditya Erlangga, Rizky Bani Asmara E.M., Raudatussholihat Amalia, Estiko Rijanto

    DOI: 10.1109/INCITEST59455.2023.10396984

    Abstract

    Crime is a criminal behavior that often causes problems in society with a variety of crimes that often occur such as murder, assault, rape, theft, fraud, embezzlement, narcotics and. In Article 35 paragraph (1) letter K of Law No. 16 of 2004 concerning the Attorney General of the Republic of Indonesia as amended in Law No. 11 of 2021 states that the Prosecution Office is a government institution whose function is related to judicial power to prosecute and other power abide by law. K-Algorithm Means is a non-hierarchical clustering algorithm that has capability to group data in large quantity, quickly and efficiently. In this paper, data from 217 cases tested from Indramayu District Attorney during January 2022 until December 2022. K-Means algorithm was successful to classify relationship between criminal cases and which prosecutors whom handling them. The result using optimal K=3 formed three cluster which consists of Cluster C1 = 9 types of cases, Cluster C2 = 9 types of cases Cluster C3 = 9 types cases with members C2 and C3 have the Global Unique, Domination, and Share characteristics within each cluster. © 2023 IEEE.

    Keywords: clustering; crime; K-Means; prosecutor

    This article can be accessed at https://www.scopus.com/pages/publications/85185198398