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2nd International Conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2022

作者： Napianto, Riduwan Tri Prastowo, Agung Deni Wahyudi, Agung Wajiran Yudoutomo, Yohanes Egi Pratama Suparto, Arico Ayani Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Information Technology Education Study Program Stkip Pgri Situbondo Situbondo Indonesia

ISBN: (纸本)9781665465410

To determine the quality of beef, it is usually seen using a flashlight and matching it with a predetermined color standard. However, this method is time consuming and the results are inconsistent due to human visual limitations. This study aims to identify the freshness of beef based on its color characteristics using feature extraction method with HSV and LDA method for identification. The identification process begins with the transformation process from RGB images to L∗a∗b, then image segmentation serves to separate one object from another and image identification uses the LDA method with feature extraction using HSV. The use of color feature extraction with the HSV algorithm to assist in obtaining information from the colors contained in the image for easy identification. Furthermore, the LDA algorithm has a function to obtain the maximum projection to obtain a smaller dimensional space so that the desired patterns can be separated through the boundary line of a linear equation so as to form a certain class or group. Based on the test results using the confusion matrix, it produces a precision value of 80%, recall of 84%, and accuracy of 82%. © 2022 IEEE.

关键词： Beef

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Aircraft Flight Schedule Announcement at Pionir Indonesian Airport Based on SMS Broadcast

Aircraft Flight Schedule Announcement at Pionir Indonesian A...

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Aerospace Electrical engineering and Informatics (ICAAEEI), International Conference of Adisutjipto on

作者： Anggraini Kusumaningrum Septian Wahyu Ahmad Sahal Asih Pujiastuti Astika Ayuningtyas Elizabeth Anna Pratiwi Informatics Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia Informatic Engineering Department Adisutjipto College of Technology Yogyakarta Indonesia D3 Information Technology Study Program Faculty of Science and Technology Respati University Yogyakarta Indonesia Aerospace Engineering Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia

ISBN: (数字)9798331507930

ISBN: (纸本)9798331507947

The design and construction of delivering announcements using a web-based SMS gateway aims to help overcome problems that often occur at pioneer airports; this is because when passengers want to travel, many passengers still arrive late to check-in, even though the passenger ticket has a notification for checking. -in 1 hour before Departure. If a flight's Departure is delayed or accelerated, passengers will only receive this information when they arrive at the airport, whereas if at the time the departure notification is delayed or accelerated, the passenger is still outside the airport or still on their way to the airport, as a result, they will definitely not receive the information. Testing voice announcements on parking, arrival, departure, delay, check-in, and waiting room services, as well as testing SMS broadcasts (30 user numbers and one airline), shows that the announcement application provides information through voice data recording and broadcasts SMS to passengers and families. Testing was carried out at Indonesian Pioner airport for 30 passengers for a week. The percentage of Ease of obtaining test voice information was 81.98%, and the percentage of Ease of obtaining broadcast SMS information was 83.1%. Implementing the announcement is feasible at pioneer airports with a percentage of 82.54%.

关键词： Electrical engineering Schedules Logic gates Airports Recording Delays Informatics Aircraft Testing Airline industry

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Epilithic biofilm as a potential biomonitor for microplastics contamination in Brantas River of Malang City, Indonesia

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Case Studies in Chemical and Environmental engineering 2025年 11卷

作者： Anggayasti, Wresti L. Pramudia, Zulkisam Susanti, Yogita A.D. Al Zamzami, Ilham Misbakudin Moehammad, Khibar Syiar Wardana, I Nyoman Gede Kurniawan, Andi Environmental Sciences Study Program of Universitas Brawijaya Malang Indonesia Aquaculture Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia Aquatic Resources Management Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia Mechanical Engineering Department Faculty of Engineering Universitas Brawijaya Malang Indonesia

Despite being an efficient bioremediation agent, aquatic biofilm's usefulness as a biomonitor has not been explored extensively. This study disclosed the potential of epilithic biofilm as biomonitor by comparing its metagenomics with water quality parameters and microplastic count in Brantas River. Metagenomics showed the epilithic biofilm was dominated by Exiguobacterium, which recognizes and degrades microplastics, along with Rhodobacterium and Rhizobiales. For the first time, biofilm microbes and their respective roles were discovered to correspond to the total microplastic counts in comparison with BOD as the only transgressing physicochemical parameter. Thus, epilithic biofilm is a potential biomonitor for riverine microplastic contaminations. © 2024 The Author(s)

关键词： Epilithic biofilm Metagenomics Microplastic biomonitor River pollution Water physicochemical parameters

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The impact of bottom water light exposure on electrical and sediment remediation performance of sediment microbial fuel cells

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Chemosphere 2024年 362卷 142720页

作者： Misali, Rashida Mohd Noor, Nurfarhana Nabila Oktavitri, Nur Indradewi Kim, Kyunghoi Department of Ocean Engineering Pukyong National University Busan48513 Korea Republic of Study Program of Environmental Engineering Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

Sediment microbial fuel cells (SMFCs) generate bioelectricity from benthic sediments and thus providing both bioelectricity generation and sediment remediation. However, the high internal resistance of the cathode leads to a low power output, which requires research on cathode treatment. In this study, we explored the influence of light irradiation on bioelectricity production and nutrient removal in the SMFC system. The microcosm experiment of the SMFC system was designed with artificial illumination of 500 lux (light-SMFC) and compared with dark conditions of 15 lux (dark-SMFC), which showed that the current increases during photoperiods. The study reveals that light-illuminated SMFC consistently produced the highest voltage, with the highest voltage (553 mV) being 1.3 times higher than the dark-SMFC (440 mV). The polarization curves show a significant reduction in internal cathodic resistance under light condition, resulting in increased voltage generation. The light-SMFC exhibits the highest maximum power density of 35.93 mW/m2, surpassing the dark SMFC of 31.13 mW/m2. It was found that light illumination in the SMFC system increases oxygen availability in the cathodic region, which supports the oxygen reduction reaction (ORR) process. At the same time, the high bioelectricity output contributes to the highest sediment remediation by greatly reducing the chemical oxygen demand (COD) and phosphate (PO4–P) concentrations. The study highlights the potential of light illumination in mitigating cathodic limitation to improve SMFC performance and nutrient removal. © 2024

关键词： Microbial fuel cells

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Smart Home Security System Using Face Recognition Based on IoT- CNN 2

Smart Home Security System Using Face Recognition Based on I...

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2nd International Conference on Information Technology Research and Innovation, ICITRI 2023

作者： Febriantono, M. Aldiki Zuhair, Alvin Khaeruddin School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia University of Islam Blitar Electrical Engineering Department Blitar Indonesia University of Muhammadiyah Malang Diploma III Electronic Technology Vocational Study Program Malang Indonesia

ISBN: (纸本)9798350324945

Home security is a crucial aspect that requires careful attention, particularly when it comes to addressing theft concerns. Hence, implementing smart door technology equipped with facial recognition holds promising potential for enhancing home security. This study aims to develop a more secure and regulated home entry system by leveraging Internet of Things (IoT) technology and Machine Learning Computer Vision for facial recognition. The system integrates IoT devices, such as cameras and automatic doors, wherein facial image data is captured by the camera and processed using the Convolutional Neural Network (CNN) algorithm to identify individuals. Once an individual is recognized, the system grants access to the home through an automated door. By relying on facial features, the system effectively restricts unauthorized access and safeguards homes against theft risks. Therefore, the advancement of a safer and more controlled home entry system utilizing IoT technology and Machine Learning Computer Vision holds tremendous benefits for homeowners. © 2023 IEEE.

关键词： Face recognition

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A Comparison of Multi Class Support Vector Machine vs Deep Convolutional Neural Network for Brain Tumor Classification

A Comparison of Multi Class Support Vector Machine vs Deep C...

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2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Cahyo, Nur Ryan Dwi Sari, Christy Atika Rachmawanto, Eko Hari Jatmoko, Cahaya Al-Jawry, Rabei Raad Ali Alkhafaji, Mohamed Ayad University of Dian Nuswantoro Department of Informatics Engineering Semarang Indonesia University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia Northern Technical University Department Computer Science Semarang Indonesia Northern Technical University Department of Computer Engineering Technology Mosul Iraq National University of Science and Technology Department of Computer Sciece DhiQar Iraq

ISBN: (纸本)9798350339215

Multi SVM has long been one of the popular methods in classification, while DCNN has recently gained significant attention in image processing and pattern recognition. This research evaluates the effectiveness of Multi Class Support Vector Machine (M-SVM) and Deep Convolutional Neural Network (DCNN) techniques in classifying brain tumors. A dataset of 2660 3D medical images with dimensions 227 x 227 x 3;including Glioma, Meningioma, and Pituitary tumors, has been partitioned into distinct sets for both training and testing purposes. DCNN approach achieves excellent accuracy in identifying tumor names, with a training accuracy of 97.8% and 100% success rate in 9 experiments. The Multi SVM method demonstrates relatively good accuracy, with training accuracies ranging from 70% to 90% based on different kernel functions. These findings provide valuable insights for selecting appropriate methods in brain tumor classification and encourage further exploration of hybrid Multi SVM-DCNN approaches to enhance accuracy and reliability. © 2023 IEEE.

关键词： Convolutional neural networks

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The Recommendation System for Increasing the Independence of Micro, Small and Medium Enterprises (MSMEs) Using the Normalized Rating Frequency (NRF) Method 4

The Recommendation System for Increasing the Independence of...

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4th International Conference on Information and Communications Technology, ICOIACT 2021

作者： Lestari, Sri Yulmaini Aswin Kurniawan, Rio Sulyono Pratama, Yan Aditiya Faculty of Computer Science Informatics Engineering Study Program Bandar Lampung Indonesia Faculty of Business Economics Management Study Program Bandar Lampung Indonesia

ISBN: (纸本)9781665433945

Micro, Small, and Medium Enterprises (MSMEs) have an important role in improving the economy of small communities and the stability of the Indonesian economy. However, they still face various problems such as capital, raw materials, distribution, licensing, and others. This study developed a special treatment recommendation system to increase the independence of MSMEs by adopting a ranking-based method to produce recommendations related to problem-solving steps from MSMEs. The ranking method used Normalized Rating Frequency (NRF). This method performed an aggregation process of the ratings given by MSMEs in looking at the priority level of problem-solving based on previous experience. The result of the experiment showed that an average NDCG value was 0.7916. This explained that the quality of the ranking was good so that it was feasible to be recommended in solving problems in the form of special treatment to acquire to the independence of MSMEs. © 2021 IEEE

关键词： Recommender systems

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Design and fabrication of photovoltaics based on MFS (Ag/BaTiO3/silicon p-type) structure

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Materials science for Energy Technologies 2024年第1期7卷 29-34页

作者： Irzaman Dahrul, M. Rahmani, M. Rukyati, A.M. Samsidar Nurhidayah Deswardani, F. Peslinof, M. Jenie, R.P. Iskandar, J. Wahyuni, Y. Priandana, K. Siskandar, R. Department of Physics Faculty of Mathematics and Natural Sciences IPB University Bogor16680 Indonesia Department of Physics Faculty of Sciences and Technology Jambi University Jambi36361 Indonesia Department of Nutrition Faculty of Health Science and Technology Binawan University East Jakarta13630 Indonesia Department of Computer Engineering Pakuan University Bogor16142 Indonesia Department of Computer Science IPB University Bogor16680 Indonesia Computer Engineering Technology Study Program College of Vocational Studies IPB University West Java Bogor16151 Indonesia

The experiment was carried out by growing BaTiO3 (Undoped or Li-doped) on p-type Si(1 0 0) substrates using the Chemical Solution Deposition (CSD) method and spin coating at a rotational speed of 3000 rpm for 60 s, followed by heating at 850 °C. The characterization results show that the bandgap energy value of the thin film due to lithium doping reduces the bandgap energy value. This is presumably because the donor atom added to a semiconductor causes the allowable energy level to be slightly below the conduction band. The presence of this new band causes the thin film bandgap energy to decrease with a five-valent tantalum dip. The morphological properties showed that the BaTiO3/Si(1 0 0) thin film particles in the deposited lithium had a fairly homogeneous grain. With the addition of lithium acetate as a binder into barium titanate, the grain size is getting smaller because it is suspected that the lithium-ion radius is smaller than the barium-ion radius. Measurement of I-V on the thin film shows that the output voltage value increases with more light intensity hitting the surface of the thin film. The greater the light intensity, the greater the energy of the photons, so the electrons are easier to jump. The three things above (both electrical and morphological properties) conclude that the thin films grown have the potential for photovoltaics. © 2023

关键词： Thin films

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Creative strategies of local resources in managing geotourism in the Ijen Geopark Bondowoso, East Java, Indonesia

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International Journal of Geoheritage and Parks 2023年第1期11卷 149-168页

作者： Mastika, I. Ketut Harsono, Soni Sisbudi Khristianto, Wheny Oktawirani, Panca Hutama, Pandu Satriya Business Administration Program Faculty of Social and Political Science University of Jember Jl. Kalimantan 57 East Java Jember 68121 Indonesia Agricultural Engineering Study Program Faculty of Agricultural Technology University of Jl.Kalimantan 57 Jember East Java Jember 68121 Indonesia Tourism and Travel Business Program Faculty of Social and Political Science University of Jl.Kalimantan 57 Jember East Java Jember 68121 Indonesia

This paper aims to explain the process of developing creative strategies for empowering community capabilities and local resources in managing geotourism in the Ijen Geopark development area of the Bondowoso region. The location is in the Ijen District as a depiction area for developing the Ijen Geopark. The perspective used in this study is a resource-based view with valuable, rare, imitable, non-substitutable (VRIN) analysis to identify the effectiveness of the performance of local geotourism resources. The results showed that the daily management of geoparks has collaborated with institutions in rural areas in building sustainable competitive advantages to manage geotourism oriented to VRIN criteria in the delineation area of the development of the Ijen Geopark. © 2023 Elsevier B.V.

关键词： geopark geotourism resource-based view

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Relationship between drought and soil erosion based on the normalized differential water index(NDWI)and revised universal soil loss equation(RUSLE)model

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Regional Sustainability 2024年第4期5卷 133-144页

作者： Muhammad RENDANA Wan Mohd Razi IDRIS Febrinasti ALIA Supli Effendi RAHIM Muhammad YAMIN Muhammad IZZUDIN Department of Chemical Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Environmental Management Graduate SchoolUniversitas SriwijayaPalembang30139Indonesia Department of Earth Sciences and Environment Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Civil Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Agricultural Sciences Graduate Study ProgramUniversitas Muhammadiyah PalembangPalembang30263Indonesia Department of Agribusiness Faculty of AgricultureUniversitas SriwijayaIndralaya30662Indonesia Department of Sociology Faculty of Social and Political SciencesUniversitas SriwijayaIndralaya30662Indonesia

The Langat River Basin in Malaysia is vulnerable to soil erosion risks because of its exposure to intensive land use activities and its topography,which primarily consists of steep slopes and mountainous ***,climate change frequently exposes this basin to drought,which negatively affects soil and water ***,recent studies have rarely shown how soil reacts to drought,such as soil ***,the purpose of this study is to evaluate the relationship between drought and soil erosion in the Langat River *** analyzed drought indices using Landsat 8 satellite images in November 2021,and created the normalized differential water index(NDWI)via Landsat 8 data to produce a drought *** used the revised universal soil loss equation(RUSLE)model to predict soil *** verified an association between the NDWI and soil erosion data using a correlation *** results revealed that the southern and northern regions of the study area experienced drought *** predicted an average annual soil erosion of approximately 58.11 t/(hm^(2)·a).Analysis of the association between the NDWI and soil erosion revealed a strong positive correlation,with a Pearson correlation coefficient of *** assumed that the slope length and steepness factor was the primary contributor to soil erosion in the study *** a result,these findings can help authorities plan effective measures to reduce the impacts of drought and soil erosion in the future.

关键词： Drought Soil erosion Normalized differential water index(NDWI) Revised universal soil loss equation(RUSLE) Langat River Basin

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