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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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Blockchain-Based Public Key Infrastructure Using Smart Contracts

Blockchain-Based Public Key Infrastructure Using Smart Contr...

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International Conference on Data and Software Engineering (ICODSE)

作者： Frederik Imanuel Louis Muhammad Zuhri Catur Candra Program Studi Teknik Informatika Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung Bandung

ISBN: (数字)9798331506407

ISBN: (纸本)9798331506414

Certificate authorities are a massive point of weakness in traditional PKI. Blockchain technology offers an easy way to implement Certificate Transparency but existing blockchain-based PKIs lack either support for key updates, revocations, or privacy. This paper explores two existing solutions and merges their ideas to provide all of the aforementioned properties. The proposed system provides a Public Key Infrastructure based on Ethereum that supports traditional key registration and revocation, while also facilitating anonymous key updates. These key updates are chained from initial key registrations, allowing subjects to disclose their newest key on their discretion.

关键词： Privacy Dictionaries Smart contracts Public key Blockchains Registers Encryption Digital signatures Research and development Software engineering

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Implementation of Fuzzy Logic on Microcontroller for Quails Coop Temperature Control

Implementation of Fuzzy Logic on Microcontroller for Quails ...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Nisa Rizqiya Fadhliana Sayekti Harits Suryawan Ariyadi Program Studi Informatika Institut Teknologi Kalimantan Balikpapan Indonesia Program Studi Teknik Informatika Fakultas Sains dan Teknologi Universitas Muhammadiyah Kalimantan Timur Samarinda Indonesia

ISBN: (纸本)9781665401524

Quail (cortunix cortunix japonica) is a type of poultry that is quite popular for its eggs and meat as an alternative protein source. However, for tropical climates such as Indonesia, there are challenges faced by quail farmers, namely heat stress. One way that can be a solution to deal with these challenges is to regulate the room temperature in the quail cage. This study aims to design an automatic temperature control system for quail cages using a microcontroller embedded with a fuzzy algorithm to determine the action to be taken to adjust the temperature and humidity of the air in the quail cage. The prototype developed in this research is tested by comparing the output simulation of the microcontroller with the simulation performed using Matlab software.

关键词： Heating systems Temperature dependence Microcontrollers Atmospheric modeling Simulation Software algorithms Humidity

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Stroke Disease Analysis and Classification Using Decision Tree and Random Forest Methods 6

Stroke Disease Analysis and Classification Using Decision Tr...

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6th International Conference on Informatics and Computing, ICIC 2021

作者： Puspitasari, Desy Ika Riza Kholdani, Al Fath Dharmawati, Adani Rosadi, Muhammad Edya Mega Pradnya Dhuhita, Windha Universitas Islam Kalimantan Muhammad Arsyad Al-Banjari Fakultas Teknologi Informasi Banjarmasin Indonesia Universitas Amikom Yogyakarta Fakultas Ilmu Komputer Program Studi Informatika Yogyakarta Indonesia

ISBN: (纸本)9781665421553

A stroke is a medical emergency that occurs when blood flow to the brain is blocked or decreased, depriving brain tissue of oxygen and nutrients. Stroke is the world's second leading cause of death, according to the World Health Organization (WHO). Stroke patients die within the first year of their illness. To reduce the risk of stroke, simple and effective tools are required. The goal of this study was to look into the classification of stroke potential and come up with a simple and reliable model. The Kaggle database provided the stroke prediction data set, which was based on input criteria such as gender, age, various illnesses, and smoking status. To determine the prediction of the construction model, decision trees and random forest classification methods were utilized. The independent variables determining the incidence of stroke were determined to be age (AUC 0.85), hypertension (AUC 0.62), blood sugar level (AUC 0.61), history of heart disease (0.56), married status (0.60), and body mass index (BMI) (AUC 0.56). Age, hypertension, blood sugar level, and BMI were all valid, with a random forest method accuracy of 98.90 percent and decision tree method accuracy of 95.90 percent. © 2021 IEEE.

关键词： Decision trees

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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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Enhancing Succulent Plant Species Classification: A MobileNetV3-Large Approach

Enhancing Succulent Plant Species Classification: A MobileNe...

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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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Ethnomathematics batik design Bali island 2

Ethnomathematics batik design Bali island

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2nd International Conference on Applied Sciences Mathematics and Informatics, ICASMI 2018

作者： Irawan, A. Lestari, M. Rahayu, W. Wulan, R. Program Studi Informatika Universitas Indraprasta PGRI Jl. Raya Tengah No. 80 Kel. Gedong Kec. Pasar Rebo Jakarta Timur13760 Indonesia

Aims of this study is to make an application to detect Balinese batik that has an etnomatematics elements using backpropagation method and to observe etnomatematics elements on Balinese batik. This study using qualitative descriptive methods with ethnographical approach, literature study, and expert study on etnomatematics issues. This paper shows that in typical Balinese batik there are several elements in the transformation of mathematics that are translation, reflection, rotation, while in other batik shows dilation elements In addition from the ethnography there are elements of spiritual and distinctiveness of the Balinese society that upholds local culture values. © Published under licence by IOP Publishing Ltd.

关键词： Mathematical transformations

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Dijkstra's Algorithm to Find Shortest Path of Tourist Destination in Bali 2

Dijkstra's Algorithm to Find Shortest Path of Tourist Destin...

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2nd International Conference on Applied Sciences Mathematics and Informatics, ICASMI 2018

作者： Fitriansyah, A. Parwati, N.W. Wardhani, D.R. Kustian, N. Program Studi Informatika Universitas Indraprasta PGRI Jl. Raya Tengah No.80 Kel. Gedong Kec. Pasar Rebo Jakarta Timur13760 Indonesia

Bali is one of many small island in Indonesia and referred as "The Island of Gods". Bali has varieties of tourist destination e.g. art villages, ecotourism, historical building, spiritual tourism and temples. Dijkstra's algorithm is an algorithm that used to be solution in finding shortest path problem. It can be use to find the shortest route between one tourist destination and all other tourist destinations. Hence, we use dijkstra's algorithm to find shortest path of tourist destination in Bali. There are top ten tourist destinations that has been used in this paper Tanah Lot, Uluwatu, Ulun Danu Beratan, Kebun Raya Eka Karya, Penelokan Batur, Tirta Empul, Taman Ayun, Bali Safari and Marine Park, Goa Gajah and Bali Zoo Park. © Published under licence by IOP Publishing Ltd.

关键词： Parks

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Comparison of argumentation skill in science and non-science undergraduate students

Comparison of argumentation skill in science and non-science...

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International Conference on Mathematics and Science Education (ICMScE)

作者： Hayat, M. S. Djuniadi, D. Prasetyo, A. P. B. Roshayanti, F. Wicaksono, A. G. C. Minarti, I. B. Sumarno, S. Univ PGRI Semarang Program Studi Pendidikan Biol FPMIPATI Sidodadi Timur 24Dr Cipto Semarang Indonesia Univ Negeri Semarang Program Studi Pendidikan Tekn Informatika & Kompu Fak Tekn Gedung E6 Kampus UNNES Sekaran Gunungpati Semarang 50229 Indonesia Univ Negeri Semarang Program Studi Pendidikan Biol Fak MIPA Gedung D6 Lantai 1 Kampus UNNES Sekaran Semarang 50229 Indonesia

This research is aimed to evaluate and compare the argumentation skill in science and non-science students. This research is quantitative research which involved two classes including 30 science students who taught human physiology subject and 30 social and humanities students who taught curriculum development subject. Both classes using blended learning with "argueweb" for online learning and debate for offline learning. The data collected from argumentation score using argumentation observation sheet. The data collected then to analyze descriptively and statistically using t-test. The result showed that there are differences between argumentation skill in science and non-science students. There are differences in quality of argumentation in science and non-science students. Science students showed good and clear backing with so many evidences. While non-science students provide strong and arguable warrant. Thus the quality of both science and non-science students argumentation need improvement to achieve better argument and learning outcomes.

关键词： Students

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