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Implementing Support Vector Machine Algorithm for Early Slums Identification in Yogyakarta City, Indonesia Using Pleiades Images
Slums are one of the urban problems that continue to get the attention of the government and the city of Yogyakarta. Over time, cities continue to experience changes in land use due to population growth and migration. Therefore, it is necessary to monitor the existence of slums continuously. The objectives of this study are to conduct early identification of the slum using the Support Vector Machine (SVM) Algorithm. The data used are Pleiades Image, administrative maps, and existing slum maps of the KOTAKU Program, which are used to test the accuracy. We applied SVM to the Pleiades Image in parts of Yogyakarta City to identify the slum areas. The result of the slum mapping generated from the SVM was compared to the Slum Map of the KOTAKU Program to test the accuracy. The parameters used for early identification of the slums are the characteristics of the object (characteristics of buildings), settlement (density and shape), and the environment (location and its proximity to rivers and industries). We separate slum and non-slum based on texture, morphology, and spectral approaches. Based on the accuracy test results between the SVM classification results map of the slum and the map from the KOTAKU Program, the accuracy is 86.25 with a kappa coefficient of 0.796. © 2023 by the authors
Improving the Traffic Management System Based on Remote Sensing Data Imagery
Traffic management aims to increase or maintain the standard of transport services. The use of intelligent transport systems, such as traffic signals and variable message signs, can aid in the efficient management of traffic flow. Traffic management is a relatively inexpensive form of road management, but its impact is generally less studied. This study evaluated the level of road services (LOS) provided by Prof. Dr. Ir. Herman Yohanes Road based on the fusion of remote sensing data imagery and field surveys. The study found the LOS before the traffic management to be category E LOS, but it increased into category C after the traffic management. The increase heavily implied by the road capacity which shown the decrease of volume of vehicles from 3.030 to 993 and an increase of vehicle’s speed from 25 km/h to 40–60 km/h. Questionnaires were used to assess the effects of traffic management on road satisfaction and revenue changes among selected business along Prof. Dr. Ir. Herman Yohanes Road. The increase in LOS seems to also increase the road satisfaction due to less volume of vehicles and better travel speed. Despite the increase on both LOS and road satisfaction, annual revenue seemed to decrease for 20 on micro business, 50 on small business, 19,4 on medium business, and 40 on big business. The findings also include a detailed level of service road map indicating the differences of before and after the implementation of traffic management measures © 2023 EDP Sciences. All rights reserved
The Changes of Employment and Labor Productivity in South Sulawesi Province, Indonesia During The Covid-19 Pandemic
The Covid-19 pandemic has had a huge impact on various sectors, one of which is the employment sector in Indonesia. Through employment studies, it is hoped that it will be able to overcome employment problems which include labor absorption and labor productivity during the pandemic. This study is intended to determine labor absorption and labor productivity in South Sulawesi Province, especially during the Covid-19 pandemic by analyzing several indicators. Analysis of labor absorption is carried out based on main employment, employment by type, and employment status. This study uses a quantitative descriptive method by explaining changes in the dynamics of employment through absorption and labor productivity in South Sulawesi Province through BPS secondary data related to the state of the workforce in South Sulawesi Province. Quantitative analysis is used to measure labor productivity which is assessed through the elasticity of employment opportunities based on the type of business field. Through this study, a description of the absorption of labor in South Sulawesi Province showed that the Covid-19 pandemic had affected variations in the value of elasticity and absorption of labor in South Sulawesi Province. © 2023 EDP Sciences. All rights reserved
Regulatory Impact Analysis (RIA) as a Mandatory Legislative Drafting Method for Achieving Sustainable Development Goals (SDGs) in Indonesia
PURPOSE: This study's objectives are the analysis of the urgency of RIA, the problems in achieving the SDGs and their solutions. APPROACH: This study uses the normative legal analysis method with secondary data. FINDINGS: The results showed that there is an urgency for Indonesia to implement RIA in preparing its laws and regulations to achieve the SDGs. Practically, the RIA method is not a must-use method in preparing Indonesia's law and is not a priority. Several institutions encourage people to use RIA and this must be encouraged so that RIA can be inherently implemented before making decisions to make laws and regulations. RESEARCH IMPLICATIONS: The RIA method is considered a breakthrough that can be used as a guide for making good laws and regulations. In the future, the House of Representatives (DPR), as RIA guideline drafters, may include the SDGs as one of the parameters in forming regulations
Legal policy preference for coal mining over other land use alternatives jeopardizes sustainability in Indonesia
Overlapping claims on land use between coal mining and other land-based activities have led to legal uncertainties, with negative social, economic, and environmental impacts. This study examines overlapping claims on land use arising from inconsistencies with the regulation of Indonesia's land and resource licensing system and the consequent legal, social, and environmental impacts. This study investigates the overarching issues with the implementation of policies and regulations concerning coal mining licensing in Indonesia. Results indicate that the prevailing legal framework in Indonesia favors coal mining activities over other land uses (including smallholder production of food). The coal mining industry is given preferential treatment regarding land use and licensing compared to other land-based users, resulting in significant social and environmental injustice. Other land-based activities outside the mining sector experience greater legal uncertainty in obtaining equal access to land. This creates difficulty in maintaining continuity in their operations
Exploring Anchor Personality and True Meaning in Indonesian Young Adults
Theories of meaning that emphasize only subjectivity can disadvantage individuals and societies. The theory of true meaning attempts to answer these problems by considering human nature. To attain true meaning, an interactive personality theory, such as Anchor Personality Theory, is needed. This study aims to understand the relationship between anchor personality dimensions, namely, materials, self, others, and virtues, and true meaning. This study�s subjects are 212 young adults aged 18�34 from different educational and marital backgrounds. This study used a quantitative survey method with regression analysis. The instruments used are the True Meaning Scale and the Anchor Personality Inventory. Results show that virtue anchors positively correlate with true meaning, whereas materials and self-anchors correlate negatively with true meaning. In addition, anchor stability contributes to a significant increase in true meaning. Limitations and suggestions from this research are discussed. © 2023 Annisa Ardi Ayuningtyas, Bagus Riyono
Effects of rotational speed on the mechanical properties and performance of AA6061-T6 aluminium alloy in similar rotary friction welding
Similar rotary friction welding with AA6061-T6 rod material was carried out at four variations of rotational speed in order to study the effect of rotational speed on the joint properties. The increase in rotational speed produces higher hardness value in DRZ area, i.e. the lowest microhardness value in the DRZ area was 129 VHN at 380 rpm and increased to 192 VHN at 1700 rpm due to a grain refinement process that increased the hardness as the Hall�Petch equation. Otherwise, in the HAZ and TMAZ area, the microhardness profile has a decreasing trend due to the welding rotation increases. All welded joints have a lower strength than the base metal, about 68% for tensile and 83% for fatigue. The observations on the fracture surface of tensile and fatigue test showed that the fracture's area occurs in the same region where the lowest microhardness and roughness grain sizes occur
Engineering characterization and environmental analysis of natural rubber latex modified asphalt mixture
Natural Rubber Latex (NRL) has attracted considerable interest as a resource for renewable paving materials due to its potential to lessen environmental impact. In order to gain a thorough understanding of the performance of NRL, this study evaluated the mechanical properties and environmental impact of Stone Mastic Asphalt (SMA) mixtures with a 6.6% binder content, 5% air voids content, and 5% NRL by weight of binder. The performance of this NRL asphalt mixture was compared to a control asphalt mixture using a commercially available polymer modified Styrene Butadiene Styrene (SBS) binder. The performance of the asphalt mixtures, such as their tensile strength, stiffness modulus, and resistance to fatigue and rutting, as well as their Global Warming Potential (GWP) impact, were studied. The results indicate that the addition of NRL increased tensile strength, stiffness modulus, and fatigue life in comparison to a conventional, unmodified asphalt mixture but had slightly lower values in comparison to the SBS mixture. Moreover, in terms of environmental concern, life-cycle assessment reveals that NRL-modified mixtures are more sustainable than SBS-modified mixtures in terms of GWP value
Risk Cost Analysis of Fuel Dependency in a Sustainable Energy Transition by Replacing HSD with LNG: A Case Study of Lombok Power System
Indonesia is an archipelagic country with a decentralized and isolated electricity system, such as Lombok. The Lombok Power System still relies on high-speed diesel (HSD) as the primary energy source for electricity generation. Indonesia has made efforts towards energy transition by replacing HSD with Liquefied Natural Gas (LNG). However, these efforts have not been successful, as evidenced by the continued presence of Gas Machine Power Plants that still rely on HSD, as seen in the Lombok system. This issue is due to the absence of supporting gas utilization infrastructure, an inadequate supply chain, and the suboptimal utilization of local energy. The unavailability of LNG and dependence on HSD have the potential to increase the Levelized Cost of Electricity (LCOE) of the system. Therefore, this study aims to analyse the fuel dependency risk on the LCOE in a sustainable energy transition with LNG as a replacement for HSD in Lombok Power System, Indonesia. The analysis was conducted by identifying potential risks in the LNG supply chain and evaluating their overall risk level on the LCOE of GEP. However, the risks associated with LNG supply chain disruptions, technological readiness, and price volatility need to be managed to ensure a stable and sustainable energy transition. Based on the results of LNG supply uncertainty, the Lombok System's LCOE increased from 13.01 c/kWh to 16.27 c/kWh due to the possibility of an increase in LNG prices in the future. The study recommends a risk management plan that includes the diversification of fuel sources, establishing a reliable LNG supply chain, and investing in research and development of LNG technology. One recommendation for diversifying primary energy sources is to increase the utilization of RE baseload, such as biomass, hydro, nuclear and solar power with batteries
Long-Term Deflection of Prestressed Concrete Box Girder Bridges Due To Creep and Shrinkage
Long-term deflection of the box girder prestressed concrete bridge is undoubtedly essential. Creep and shrinkage are significant influences on the long-term deflection. Some design code models do not consider the water-cement ratio as a creep and shrinkage parameter. The excess water-cement ratio will increase creep and shrinkage. B3 Model uses the water-cement ratio parameter to predict creep and shrinkage. This study examines the long-term deflection of the box girder balanced cantilever prestressed concrete bridge that already exists in Indonesia. The method used B3 Model creep and shrinkage prediction to input to the software and used Midas Civil 22 v1.2 software to model the Bridge and the result is compared to other models. The results of this study indicate that the behavior of the B3 Model predicts deflection more significantly than other models. The slope graph of the deflection shows that there is still an increase in deflection after 30 years. It means that moisture loss in the prestressed concrete bridge still occurs after 30 years. From the results, it can conclude that the water-cement ratio is an essential parameter for creep and shrinkage. Prediction of long-term deflection in this B3 Model is extreme but is still within the allowable deflection limit due to dead loads of ACI and CEB codes