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Information Technology Research and Innovation (ICITRI), International Conference on

作者： Wahyu Dhermawan Susilawati Muhathir Rizki Muliono Andre Hasudungan Lubis Nurul Khairina Student Fakultas Teknik Program Studi Teknik Informatika Universitas Medan Area Medan Indonesia Fakultas Teknik Program Studi Teknik Informatika Universitas Medan Area Medan Indonesia

ISBN: (数字)9798350376210

ISBN: (纸本)9798350376227

Recent advancements in deep learning have significantly enhanced the classification accuracy of various plant species, including succulents. This study aims to evaluate the performance of the MobileNetV3-Large architecture in classifying 10 types of succulent plants, comparing its accuracy to previous models, and identifying potential areas for improvement. A quantitative study was conducted using the MobileNetV3-Large architecture, with hyperparameters set to input shape $224 \times 224 \times 3$ (RGB channel), batch size 64, optimizer Adam, learning rate 0.0001, and 30 epochs. The model was trained and validated on a dataset of 4,500 images, with performance metrics including accuracy and loss values for both training and validation data. The model achieved an accuracy of $\mathbf{99.11\%}$ across 4,500 samples. Specific species such as Agave Parryi, Crassula Ovata, and others reached 100% accuracy for each sample tested. Minor inaccuracies were observed in Kalanchoe Luciae and Sempervivum Tectorum, with one sample each showing slightly lower accuracy (99.95% and 93.59%, respectively). Compared to previous studies, this model maintained high performance with a larger dataset. The results demonstrate that the MobileNetV3-Large model performs exceptionally well in classifying succulent plant species, achieving higher accuracy with a larger dataset compared to previous models. While the model’s performance is robust, minor misclassifications indicate areas for future improvement. Further research should focus on optimizing hyperparameters and increasing dataset diversity to enhance model accuracy and generalizability

关键词： Training Measurement Technological innovation Accuracy Shape Plants (biology) Data models Reliability Optimization Monitoring

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Evaluating the cost-effectiveness of diabetic foot ulcer management by wound care specialists in Indonesia

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WOUND REPAIR AND REGENERATION 2024年第1期32卷 80-89页

作者： Jais, Suriadi Oe, Makoto Sanada, Hiromi Sasongko, Agung Haryanto, Haryanto Inst Teknol Kesehatan Muhammadiyah Kalbar Grad Nursing Program Pontianak Kalimantan Bara Indonesia Kanazawa Univ Fac Hlth Sci Inst Med Pharmaceut & Hlth Sci Kanazawa Japan Ishikawa Prefectural Nursing Univ Ishikawa Japan Univ Bina Sarana Informatika Program Studi Manajemen Informatika Pontianak Indonesia Inst Technol & Hlth Muhammadiyah Pontianak Grad Sch Nursing Jl Sei Raya Dalam Gg Ceria V 19 Kubu Raya Kalbar Indonesia

Diabetic foot ulcers affect quality of life and economically burden patients and the Indonesian healthcare system. The comparative cost-effectiveness of wound care specialists in private practices (e.g., wound clinics) and wound care nurses in national hospitals remains unknown. Thus, we used a decision tree to compare the cost and healing rates for patients after 12 weeks of wound care. Uncertainty was addressed using one-way and probabilistic sensitivity analyses. Among 89 participants (42 in the national hospital and 47 in the private practice), no significant differences were observed between the two groups in terms of sex, age, education level, smoking status, duration of diabetes, Wagner wound classification, glycated haemoglobin levels, neuropathy status, ankle-brachial index, baseline characteristics, quality of life, DMIST (depth, maceration, inflammation/infection, size, tissue type of the wound bed, type of wound edge, and tunnelling/undermining) score and wound location (p > 0.05). However, significant differences were observed for days from first visit/assessment until complete healing, mean quality of life (p <= 0.001) and wound size (p = 0.047). Wound care specialists in private practices had a significantly lower cost of 2,804,423.3 Indonesian rupiah compared to 6,483,493.4 Indonesian rupiah for wound care nurses in national hospitals. The incremental cost-effectiveness ratio was -165,723.9. Therefore, wound care specialists in private practices are more cost-effective for managing diabetic foot ulcers. Probability sensitivity analysis confirmed that 80%-90% of the scenarios were cost-effective. These findings may inform healthcare resource allocation in Indonesia. Additionally, evidence-based cost-effectiveness measures were strengthened in private practices and national hospitals.

关键词： cost-effectiveness diabetic foot ulcer nurse specialist

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Design Science Research Methodology of Mobile Apps Development for Students with Cerebral Palsy Spastic and Dyskinetic

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Procedia Computer Science 2024年 234卷 1578-1585页

作者： Dihin Muriyatmoko Aris Tjahyanto Triana Harmini Moh Robiul Iqbal Program Studi Teknik Informatika Universitas Darussalam Gontor Ponorogo Jawa Timur 63471 Indonesia Program Studi Sistem Informasi Institut Teknologi Sepuluh Nopember Surabaya Jawa Timur 60111 Indonesia

The Design Science Research Methodology (DSRM) is commonly used in developing and innovating information systems, particularly in creating artifacts such as mobile apps for education and healthcare. This study aimed to apply DSRM to create learning media for students with spastic and dyskinetic Cerebral Palsy at SLB Bina Mandiri ABCD Cirebon who have difficulty communicating due to limited arm muscle movement. The study produced two iterations of learning media artifacts: a book with picture cards using the PECS method and a mobile app with added Indonesian audio. The study focused on designing and developing the second artifact, which was more effective than the first. Future research could evaluate the second artifact in greater depth through client-initiated testing.

关键词： Design Science Research Methodology design and development cerebral palsy mobile apps e-health PECS

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Heuristics and Metaheuristics for Solving Capacitated Vehicle Routing Problem: An Algorithm Comparison

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Procedia Computer Science 2024年 234卷 494-501页

作者： Dihin Muriyatmoko Arif Djunaidy Ahmad Muklason Program Studi Teknik Informatika Universitas Darussalam Gontor Ponorogo Jawa Timur 63471 Indonesia Program Studi Sistem Informasi Institut Teknologi Sepuluh Nopember Surabaya Jawa Timur 60111 Indonesia

The Capacitated Vehicle Routing Problem (CVRP) is an optimization problem that involves arranging vehicle routes while considering vehicle capacity. This research aims to compare the effectiveness of several heuristic (Path Cheapest Arc, Path Most Constrained Arc, Savings, Christofides) and metaheuristic (Greedy Descent, Guided Local Search, Simulated Annealing, Tabu Search) algorithms for determining the routing scenarios and vehicle types for faculty transportation between the male campus in Ponorogo and the female campus in Mantingan Ngawi at Universitas Darussalam Gontor. The research involves decision variables for vehicle routing determination and the objective of minimizing the distance traveled. The constraint function includes two options: one vehicle with a capacity of 60 passengers and four vehicles. This research utilizes Google OR Tools with the Python programming language using Google Colab to facilitate the calculation process. The research results indicate that metaheuristic algorithms outperform heuristics for complex case studies (four vehicles). This study recommends using metaheuristic methods, specifically Christofides Guided Local Search and Christofides Simulated Annealing, for determining the best routes with the shortest distance and time. Further research was developed using algorithms such as hyperheuristics or matheuristics.

关键词： Capacitated Vehicle Routing Problem heuristics metaheuristics Google OR Tools Algorithm Comparison

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Formal Modeling on Improvements of Route Discovery Algorithm for AODV Using UPPAAL 6

Formal Modeling on Improvements of Route Discovery Algorithm...

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6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023

作者： Insani, Rachmat Wahid Saleh Cendekia Siregar, Alda Ceasar Octariadi, Barry Sucipto Leona, Rodibelle F. Universitas Muhammadiyah Pontianak Program Studi Teknik Informatika Pontianak Indonesia College of Information and Communications Technology Nueva Ecija University of Science and Technology Cabanatuan City Philippines

ISBN: (纸本)9798350358346

Mobile ad-hoc network (MANET) is a technology that enables a set of wireless mobile devices or routers to connect to each other, by establishing a temporary network, with no network infrastructure or any fixed management available. MANET's network topology constantly changes, therefore it is a challenge to preserve the routes between nodes. Hence, routing protocol existed as an instrument to meet these challenges. Ad-Hoc On-Demand Distance Vector (AODV) is a part of the on-demand routing protocol for MANET as nodes select a route on one condition when there is a node that wants to send data packets. One of the disadvantages of an on-demand routing protocol is a high probability for a node to lose communication link to the other since the unpredictability of changes on the network topology occurs continuously. This paper presents a methodical approach for verifying the route discovery algorithm of AODV variants using model checking with UPPAAL model checker, R-AODV, and OCR-AODV. In UPPAAL, the simulation tool can execute an exhaustive search for every state in a network of automata. In our analysis, we considered a broken link scenario during the route discovery process. Our UPPAAL message sequence chart shows that Reverse AODV achieved route discovery despite an intermediate node losing its transmission on the network while OCR-AODV requires rebroadcasting the RREQ message. These results may be used to suggest further additions to the route discovery algorithm in AODV. © 2023 IEEE.

关键词： Model checking

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Internet Gaming Disorder (IGD) Prevalence, Gaming Behavior and its Correlation with IGD among Indonesian MOBA Gamers

Internet Gaming Disorder (IGD) Prevalence, Gaming Behavior a...

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International Conference on Electrical Engineering and Computer Science (ICECOS)

作者： Flourensia Sapty Rahayu Program Studi Sistem Informasi Departement Informatika Universitas Atma Jaya Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9798350368253

ISBN: (纸本)9798350368260

Internet Gaming Disorder (IGD) is one of the negative consequences of gaming. Many factors contributed to the development of IGD. One of the potential factors is the game genre. Previous studies have investigated the correlation between game genre and IGD. Multiplayer Online Battle Arena (MOBA) is the most popular game genre played by Indonesian gamers. With the massive number of players, there is an increased risk of IGD among Indonesian MOBA gamers. However, little research has been found that examines the gaming behavior of MOBA gamers and its correlation with IGD in the Indonesian context. Thus, this research aims to investigate the prevalence of IGD, gaming behavior, and its correlation with IGD among Indonesian MOBA gamers. As many as 435 MOBA gamers participated in this study. The measurement of IGD using IGDS-9SF found that the prevalence of IGD among Indonesian MOBA gamers is 6.9% and dominated by males. The correlation analysis revealed that there is a significant correlation between gender and IGD, with males being more susceptible to IGD. The result also found that playing duration and frequency of playing have a significant correlation with IGD. This finding implies that excessive gaming may lead to the onset of IGD. The mechanism of how these factors correlated with IGD was discussed.

关键词： Electrical engineering Computer science Correlation Atmospheric measurements Addiction Psychology Games Particle measurements Internet

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Analysis of Different Naïve Bayes Methods for Categorizing Spices Through Photo using the Speeded-up Robust Feature

Analysis of Different Naïve Bayes Methods for Categorizing ...

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Computer Science, Information Technology and Engineering (ICCoSITE), International Conference on

作者： Ira Safira Muhathir Muhathir Student of Program Studi Teknik Informatika Fakultas Teknik Universitas Medan Area Medan Indonesia Program Studi Teknik Informatika Fakultas Teknik Universitas Medan Area Medan Indonesia

Spices are biological natural resources that have long been used in human life. Spices are highly valued in the European market due to their flavor, aroma, and delicacy. Spices come in a variety of shapes and sizes, each with its own set of characteristics. Because there are so many different types of spices, many people are unfamiliar with their names and forms. As a result, this study discusses how to classify spices using the Nave Bayes method and the Speeded-up Robust Features feature extraction method. According to the results of the tests conducted in this study, experiments with 5 types of spices produced better results with an accuracy of 77.3%, precision of 77.5%, recall of 77.5%, f1 score of 76.4%, f beta score of 76.8%, and Jaccard score of 63.3%, whereas experiments with 10 types of spices and 15 types of spices produced less than the maximum. The findings revealed that the number of spice species used in extracting information is greatly influenced by feature extraction. Speeded-up Robust features that have been accelerated Feature Extraction works best when the number of spices extracted is small, and it performs poorly when used in a large number of classification types.

关键词： Natural resources Computer science Shape Europe Feature extraction Biology Bayes methods

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Does Motivation Relate to Player Experience? An Empirical Study on Indonesian MOBA Gamers

Does Motivation Relate to Player Experience? An Empirical St...

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International Conference on Informatics and Computing (ICIC)

作者： Flourensia Sapty Rahayu Departemen Informatika Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Multiplayer Online Battle Arena (MOBA) is one of the most popular game genres and has the largest number of players in the world, including in Indonesia. Previous studies suggest that player motivation is correlated with the development of player experience, and player experience has an impact on player motivation. This study aims to investigate the correlation between motivation and player experience in the context of Indonesian MOBA gamers. The study involves 435 Indonesian MOBA gamers as respondents. Player motivation is measured with the Electronic Gaming Motive Questionnaire (EGMQ) which consists of four dimensions, namely enhancement, social, coping, and self-gratification. Player experience is measured with the Player Experience of Need Satisfaction (PENS) framework which includes four dimensions, namely competence, autonomy, relatedness, presence/immersion, and intuitive controls. The correlation analysis result shows that there is a significant moderate correlation between self-gratification motivation and presence/immersion experience. The explanation for this correlation is discussed.

关键词： Surveys Video games Correlation Games Emotional responses Informatics

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A modification of the Distance Formula on the K-Nearest Neighbor Method is Examined in Order to Categorize Spices from Photo Using the Histogram of Oriented Gradient *

A modification of the Distance Formula on the K-Nearest Neig...

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Computer Science, Information Technology and Engineering (ICCoSITE), International Conference on

作者： Melisah Melisah Muhathir Muhathir Fakultas Teknik Universitas Medan Area Student of Program Studi Teknik Informatika Medan Indonesia Fakultas Teknik Universitas Medan Area Program Studi Teknik Informatika Medan Indonesia

Spices are biological resources that have long played a very important role in everyday life. Spices have characteristics, shapes, and colors that are almost similar and it is difficult to distinguish one spice from another. To assist in recognizing the characteristics of existing spices, the author tries to do research with the title. "Spices Classification Using the K-Nearest Neighbor (K-NN) Method and Using Histogram Oriented Gradient Feature Extraction. The method used in this study is the K-Nearest Neighbor and uses the Histogram Of Oriented Gradient feature extraction. In this study, the dataset used was 2250 image samples and divided into two categories, namely training data and testing data with a ratio of 80%: 20%. The results of this study indicate that the most optimal testing distance formula, namely the Manhattan distance formula, obtained an average accuracy of 87%, 87% precision, 87% recall, 87% f1 score, 87% Fbeta score, and 77% Jaccard score. These results indicate that feature extraction greatly influences the number of types in extracting information, the Histogram of Oriented Gradient works optimally when the number of types extracted is small and not optimal when used in a large number of classification types.

关键词： Computer science Histograms Shape Image color analysis Training data Nearest neighbor methods Feature extraction

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Insulator Detection via CNN for UAS Onboard Computers 8

Insulator Detection via CNN for UAS Onboard Computers

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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Wafi, Alif Ijlal Munir, Rinaldi Institut Teknologi Bandung Program Studi Teknik Informatika Sekolah Teknik Elektro Dan Informatika Bandung Indonesia

ISBN: (纸本)9781665416979

This paper proposes the usage of single-stage CNN models for detecting insulators in aerial images and measures their applicability in low-power computing settings that often found in UAS onboard systems. In addition to methods in literature, we also design another network based on YOLOv2 modified with SPP (spatial pyramid pooling) block and CIoU loss as our baseline. Our results shows that while both using SPP block and optimizing the bounding box regression function increases the overall detection accuracy without significant cost, network architectures that is specifically designed for edge devices are much more suitable on said environments. One of such design is SF-YOLO, with computation cost of 3,842 BFLOP (29% lower than YOLOv3 tiny, 86% lower than ours) while retaining AP50 score higher than 0.9, and thus can be further used for autonomous navigation subsystems with proper edge devices. © 2021 IEEE.

关键词： Network architecture

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