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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic International Journal of Artificial Intelligence Research INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY
Wibowo, Danang Arengga
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Environmental Science

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Blanket Pixel-Based Segmentation for Detecting Object Geometry Sucipto, Putra Wisnu Agung; Wibowo, Danang Arengga; Firasanti , Annisa; Bakri , Muhammad Amin; Yaqin , Khusnul
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10727

Abstract

This study aims to develop a blanket pixel-based approach to construct object geometry for image segmentation. Object geometry can be formed from a collection of pixels generated from the edge detection process. However, edge pixels that will be included in a segment must go through an identification process to determine their identity, with a reference segment as a reference for labeling. This work proposes the terminology of blanket pixels, namely pixels that surround a pixel that does not yet have an identity due to being isolated from the surrounding segments, as a spatial exoskeleton for the labeling process. This approach has been tested, and the results show that we successfully detect the structure of tilapia egg circles with clear fortifications when the scanning radius parameter is set to 10 pixels and the proximity between the surrounding pixels and the labeled pixels is 11.8 pixels. Out of 114 egg circles, this method successfully detected 105 eggs, with 9 small eggs (2–3 pixels in diameter) undetected, resulting in a detection ratio of 92.11%. The blanket pixel approach effectively recognizes and reclassifies isolated pixel labels. This approach supports the process of labeling pixels in areas with significant ambiguity.
SMART WEIGHING FOR WASTE MANAGEMENT SYSTEM USING INTEGRATION INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE TO ASSIST CIRCULAR ECONOMICS Sendari, Siti; Mokthar, Norrima binti; Ramadan, Bimastyaji Surya; Ramadani, Bakhrul Mukhid Fadilah; Pramesti, Fadila Claudia; A'ini, Qurrotul; Wibowo, Danang Arengga; Sucipto, Putra Wisnu Agung; Rahmawati, Yuni; Wibowo, Fauzy Satrio
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 8, NUMBER 2, OCTOBER 2025
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v8i2.23959

Abstract

Aims: This study was aimed to Supit Urang Landfill in Malang, East Java, Indonesia, urgently needs a smart waste management system because it is strategically important as a large landfill with a monthly operating capacity of 4.560 trucks. Landfill management is very challenging due to some cases, such as overcapacity, inefficient waste sorting, and environmental risks. Methodology and results: The research introduced an integration of Internet of Things (IoT) and Artificial Intelligence (AI) into the waste management system to support the principles of a circular economy. IoT was applied for real time monitoring of waste conditions, while AI was utilized for big data analytics, enabling predictions, decision-making support, and policy recommendations. The results demonstrated that the proposed system improves efficiency and cost-effectiveness by reducing the amount of waste disposed of in the landfill and optimizing the waste sorting and recycling process. Conclusion, significance and impact study: The study concludes that the transformation toward a sustainable waste management model is urgently needed and can be achieved through AIoT integration. This innovation supports circular economy practices by enhancing waste reduction, reuse, and recycling. The successful implementation at Supit Urang could serve as a scalable model for other landfills across Indonesia, thereby contributing to national strategies for sustainable waste management. This technological intervention not only improves environmental outcomes by reducing pollution and conserving resources but also fosters economic development through efficient resource utilization and job creation in the recycling and waste processing sectors.
Applied of Analytical Hierarchy Process and Fuzzy Time Series in Hybrid for Optimizing Smart Vertical Farming with Multi-Variety Plants Wibowo, Danang Arengga; Sendari, Siti; Wibawa, Aji Prasetya; Wibowo, Fauzy Satrio
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.402

Abstract

Vertical Farming is a kind of modern agricultural methods, where the structure of growing racks are arranged upwards. This method aims to optimize the use of agricultural space. There are many plants, which are suitable to be planted for vertical farming, such as Strawberry, Tomatoes, Celery, Chili, Mint, Chives, Kuchay, Spinach, and Water spinach. The problem, which is studied in this paper, is how to control the environments of vertical farming with multi-variety plants. This paper proposed a hybrid method of Analytical Hierarchy Process and Fuzzy Time Series AHP-FTS, that is, plants with similar characteristics are placed at the same block area determined by the method of Analytical Hierarchy Process (AHP). Furthermore, controlling the environments regarding the needs of appropriate growing parameters for multi-variety plants, the Fuzzy Time Series (FTS) method is used. Then, time variable for activating actuators could be adjusted as a multi-control system. The effectiveness of the proposed method was evaluated with 365 record data in 12 months. The result shows that the AHP was successful to determine the multi-criteria to determine the zone and priority of plants. The second stage is that the FTS predicts the temperature to determine time variable for activating actuators, and the third stage is the implemented AHP-FTS as a hybrid system to evaluate the vertical Farming system. The results show that the proposed system works well as hybrid system of AHP-FTS
Co-Authors A'ini, Qurrotul Agung Sucipto, Putra Wisnu Aji Prasetya Wibawa Bakri , Muhammad Amin Firasanti , Annisa Mokthar, Norrima binti Pramesti, Fadila Claudia Ramadan, Bimastyaji Surya Ramadani, Bakhrul Mukhid Fadilah Siti Sendari Wibowo, Fauzy Satrio Yaqin , Khusnul Yuni Rahmawati