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All Journal JURIKOM (Jurnal Riset Komputer) Infotekmesin Jurnal Teknologi Informasi dan Multimedia Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Sistem Informasi Galuh
Lisda Lisda
Informatics Engineering Department, Universitas Amikom Yogyakarta,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Analisa Slope Wilayah Kebakaran Hutan menggunakan Metode Naive Bayes Lisda; Isnaeni, Nenen; Firmansyah, Muhammad Raafi'u
Jurnal Sistem Informasi Galuh Vol 2 No 2 (2024): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v2i2.3934

Abstract

Forest and land fires are an economic and environmental problem that can cause serious damage. We can predict what factors cause forest fires. It is undeniable that topographical conditions affect the triggering and propagation of fires. The topographical condition itself is in the form of a slope, where fire propagation will be faster when going up the slope than going down the slope. This study aims to match whether the slope and display locations that are prone to the spread of certain fires with high fire intensity actually have a high fire potential and report the magnitude of the influence of the slope in the prediction of fire potential. One of the common approaches to classifying data is to use data mining. So in this study the researchers used the Naive Bayes Classifier as a classification method by getting the highest accuracy value of 0.99%.
Designed a Waste Management Application by Applying Requirements Engineering Methods to Meet User Needs and Expectations Lisda, Lisda; Febrianto, Dany Candra; Kusumastuti, Rajnaparamitha
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2509

Abstract

Efforts to manage waste through recycling have been implemented frequently but continue to receive minimal attention from the public, who are daily contributors to waste generation. As a result, the volume of waste keeps increasing, leading to environmental pollution, such as ecosystem damage, unpleasant odors, and blockages in waterways. This research aims to demonstrate that waste management can be enhanced by integrating data to uncover insights that can inform new strategies for addressing excess waste. In this study, a prototype for a waste recycling application was developed, focusing on digital-based waste management using IoT technology. The system incorporates sensors capable of measuring waste volume as a supporting tool developed using the requirements engineering method. Questionnaires were distributed to 30 respondents to gather feedback on platform designs and IoT product designs. Through requirements validation testing, the results showed that 70% of the 30 respondents approved the platform design, while 63.2% approved the IoT product design.
Illegal Motorcycle Parking Detection in The Car Area Isnaeni, Nenen -; Wisesa, Bradika Almandin; Lisda, Lisda; Febrianto, Dany Candra
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 2 (2025): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i2.1948

Abstract

Illegal motorcycle parking in designated car areas at Politeknik Manufaktur Negeri Bangka Belitung (Polman Babel) disrupts campus parking management, reduces space availability, and poses safety risks. This paper proposes an automated detection system using computer vision and license plate recognition to identify motorcycles parked in car areas and notify their owners via WhatsApp and email alerts. The system integrates CCTV cameras with YOLOv11 for vehicle detection and EasyOCR for license plate recognition, coupled with a database for owner identification. Upon detection, owners receive immediate notifications to rectify the violation. Experiments in Polman Babel’s parking lot show a 94% accuracy in motorcycle detection and 88% in license plate recognition under diverse conditions. The system enhances parking enforcement efficiency, reduces manual intervention, and supports smart campus initiatives. This work offers a scalable, cost-effective solution adaptable to other institutions facing similar parking challenges.
Implementation Of Attention Mechanism And Explainable Ai For Skin Lesion Classification Using CNN Ilham Nur Fajri; Aditya Dwiputro Wicaksono; Lisda Lisda
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9781

Abstract

Skin lesions are critical dermatological indicators that require early detection to prevent severe outcomes such as melanoma. Traditional Convolutional Neural Network (CNN) architectures employed for categorizing these lesions frequently encounter significant hurdles, notably disproportionate class distributions and a lack of transparency, functioning essentially as opaque "black boxes" during inferential processes. To mitigate these limitations, the current research deploys a ResNet-50 framework augmented by a Convolutional Block Attention Module (CBAM) to refine spatial and channel feature prioritization, alongside the integration of Gradient-Weighted Class Activation Mapping (Grad-CAM) to yield interpretable visualizations. The empirical analysis utilized the HAM10000 repository, incorporating a preprocessing pipeline that encompassed spatial resizing, pixel normalization, and data augmentation, subsequently trained via a bipartite transfer learning methodology. Quantitative metrics reveal that the CBAM-integrated architecture elevates the baseline global accuracy from 82.00% to 86.83%, while simultaneously augmenting the Macro F1-Score from 68.00% to 77.00%.  Qualitative evaluation using Grad-CAM shows sharper and more localized heatmaps, indicating that the attention mechanism successfully guides the model to focus on clinically relevant lesion areas. These findings suggest that combining attention mechanisms with explainable AI not only enhances classification performance but also provides visual transparency, supporting clinical interpretation. This approach is expected to improve trust and reliability in automated skin lesion classification systems
Development of Waste Fee Management System for Village-Owned Enterprise Using Agile Approach Fadila Aura Isnaeni; Aditya Dwi Putro; Lisda Lisda
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 4 (2025): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i4.822

Abstract

In the era of digital development, effective public services are essential, one of which is in West Mejasem Village through the Spirit Mejabar Village-Owned Enterprise (BUMDes). This research focuses on developing a website-based system that makes it easier for BUMDes administrators to manage waste fees and increase transaction transparency. The system development method uses the agile process, which allows development to be done flexibly and iteratively. The phases in this research include problem identification, literature study, planning, design, development, release, and system review. This system was built using the PHP programming language, Laravel framework, and MySQL as a database. System testing was conducted using the black-box testing method, which resulted in a success value of 97.76%, indicating that the features on the system run well. In addition, the questionnaire results given to users showed a satisfaction level of 90.67%, which scored "Very Good" on a Likert scale. The result of this research is a website that facilitates BUMDes administrators in managing waste fees more efficiently, increases transparency in data management, and is a platform that introduces BUMDes and its services to the community. This system can be an effective solution for managing waste fees in West Mejasem Village and can be implemented.
Co-Authors Aditya Dwi Putro Aditya Dwiputro Wicaksono Bradika Almandin Wisesa Dany Candra Febrianto Dhani Ariatmanto Fadila Aura Isnaeni Firmansyah, Muhammad Raafi'u Ilham Nur Fajri Kusrini Kusumastuti, Rajnaparamitha Nenen Isnaeni