This study aimed to produce a network structure in Integrated Urban Farming Program in Bandung City to map the involved policy actors to realize a food-smart city. In this study, a mixed method was used with an exploratory sequential strategy involving policy actors from the government, private sector, academia, community, and mass media. To obtain a network structure in Integrated Urban Farming toward determining the most important actors, the Social Network Analysis (SNA) approach was also employed through the Gephi application. From this context, the structure emphasized four dimensions, namely Degree, Betweenness, Closeness, and Eigenvector Centralities. The results showed that the actor with the most connections (degree of centrality) and best communication control (betweenness centrality) is Parahyangan Catholic University (academic). At the same time, the actor that plays the most important role (eigenvector) is at the lower level of the government’s Sub-District and Urban Village. This study is useful for explaining the importance of the position of actors in the urban farming policy network, which is the key to the success of a program.

The purpose of this paper is to describe a new approach in road detection. This research uses two detection processes approaches: RGB histogram Filterization and Boundary Classifer, which is different from previous works on road detection. RGB Histogram Filterization processes the reading from the camera in greyscale form and afterward processes them by color segmentation. The last step for this process is determining area between the slopes, which is considered to be the road area. Boundary classification process then employs the RGB indexing on slope ranges, and mapping them into real pictures of roads and its environments. The next process is specifically looking for line boundaries by using Hough-Transform and Canny Edge Detection, and transforms them into binary numbers of `0' and `1'. `1' represents road boundaries while `0' represents surrounding area. The coordinate of `1', then mapped by cubic spline to produce connecting line between point `1' coordinates, which in the end produce sharp images on boundaries between road and non-road. This model has proven to be able to detect road conditions and distinguish roads from non-road in a precise way. A test is already conducted for the system by using real-time roads in Bandung, Indonesia. The results are really promising for the road condition on both straight and curved road area.

This paper discusses a new method in detecting moving objects, which is differ from most of the methods used such as Gaussian Mixture Model, and Haar-Like approach. The focus is on utilizing corner detection and line adjacent detection features through thresholding process creating black and white images to detect the corner of each object in each frame. The process divides a frame length into 4 parts, whereas the first part acted as initiation process of moving object recognition while the rest of the frame functioning as vehicle tracking, speed measurement, and number of vehicles calculation. The initiation process started by identifying corner spots of the moving objects that must be recognized as a single object. The lines surpassing through two points are later identified to determine whether those spots have dark color (0) or light color (1). The moving objects is represented by light color (1) and the walking objects is represented by dark color (0). A group of corner spots, identified and connected by two-point-line equation to be recognized as one unified object by using corner and line adjacent method. The identified vehicle objects can be more easily tracked and identified by the average speed in order to obtain the number of passing vehicles. The research result shows that in the initiation phase, the corner and line adjacent features able to detect moving object and distinguish it with different objects. Furthermore, in tracking phase, system is able to track the vehicle position, measuring the speed and number of vehicles. The system is proven to be able to recognize the moving objects quickly and accurately resulting in the more feasible process of speed measurement and tracking.

The purpose of this paper is to describe a new approach of detecting traffic jam in the city. Unlike prior works that demonstrate traffic jam through vehicle detection only, this paper attempts to introduce a new fuzzy-based method for modeling traffic congestion levels that consider both the road occupancy levels as well as vehicle movement. Our model has an advantage of describing the traffic condition more precisely. We have performed a simulation of the proposed model using Matlab Fuzzy Toolbox and the preliminary results reveal that the proposed model is promising.

Industrialization fundamentally aims to enhance the quality of life and the welfare of people. However, insufficient management of residual production waste generates adverse effects on both the environment and the inhabitants residing near industrial zones. In response, the government has established regulatory measures for environmental protection and management through Government Regulation Number 22 of 2021. This regulation seeks to strike a balance between the community’s economic interests and environmental sustainability, safeguarding the rights of citizens. The core objectives of this research are to assess the state of environmental policies within the Sukaregang leather tanning industrial area, to scrutinize the implementation of environmental management practices, and to evaluate the impact of Government Regulation Number 22 of 2021. Employing a qualitative case study approach, the research centers on the Sukaregang leather tanning industrial area, a pivotal hub for the leather industry and a symbol of the Garut Regency. The data collection involves interviews with key stakeholders, including the Environmental Service, the leather tanning industry, and the affected community. The research concludes that while policies based on Government Regulation Number 22 of 2021 are in place, complementary local regulations are absent. The current implementation of environmental management continues to engender negative externalities in sectors such as agriculture, health, and environmental pollution. To address the shortfalls in achieving policy goals and objectives, it becomes imperative to establish local regulations that facilitate cost-sharing in the waste treatment process, utilizing Wastewater Treatment Plant (WWTP) technology. Such measures are essential for upholding environmental quality for the residents of industrial areas.