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International Conference on QiR (Quality in Research)

作者： Febrian Rachmad Hariawan Septia Ulfa Sunaringtyas Cyber Security Engineering Study Program Politeknik Siber dan Sandi Negara Bogor Indonesia

ISBN: (纸本)9781665496971

Increased crime and cyber-attacks make network security an essential prerequisite for organizations. However, organizations cannot guarantee this because the COVID-19 pandemic has forced organizations to suspend activities in the office and give employees the option to work from home. As a result, employees must always be connected to the home network to work. It can attract hackers to take advantage of the situation by launching various attacks. Therefore home network security must be updated, minimize vulnerabilities, and apply additional security. The number of IoT devices that can connect to the home network is also considered to increase security because the main entry point for hacking IoT is through the network. Raspberry Pi 4 can be used as a low-cost, power-efficient, and practical solution for home network security, including IDS Suricata, multiple honeypots (Cowrie & Dionaea), and Tshark packet analyzer. There are six types of attack simulations: port scanning, brute force, TCP flood attacks, smurf attacks, UDP flood attacks, and exploits on services/ports. Measurement of device performance is also carried out when running the system. Log data from the four sensors will be visualized with the ELK stack, making it easier to analyze attacks.

关键词： Performance evaluation Home automation Pandemics Data visualization Organizations Telecommunication traffic Network security

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Production of bioinsecticide from durian peel waste and Dioscorea hispida tuber extract by ultrasonic-assisted extraction

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AIP Conference Proceedings 2024年第1期2710卷

作者： Hasna Nisrina Sumayyah Widya Rahmanisa Fitri Tania Surya Utami Rita Arbianti Bioprocess Engineering Study Program Department of Chemical Engineering Faculty of Engineering University of Indonesia Depok 16424 Indonesia

A new armyworm (Spodoptera frugiperda) is rapidly spreading and causing damage to corn crops in Indonesia, thus prompting the need to control the pest with an effective, yet environmentally friendly pest control method, such as bioinsecticide. Natural raw materials like durian peel waste and Dioscorea hispida tuber can be processed to produce a natural bioinsecticide. To discover the optimum processing condition for bioinsecticide production, research is conducted to find the effective solvent material and concentration in ultrasonic-assisted extraction methods. Durian peel waste is extracted using ethanol 30% and methanol 70% as solvents with the ratio variation of 1:0, 0:1, 1:1, 1:2, 2:1. Meanwhile, Dioscorea hispida tubers are extracted with various ethanol concentrations as solvents (ethanol 50%, 70%, 80%, absolute, and distilled water). The result shows that the most effective solvent for durian peel waste extraction is a 2:1 ratio of ethanol and methanol, with the optimum yield of 12.58%. The result also shows that Dioscorea hispida tuber is best extracted with distilled water, yielding 34.70%. The efficacy test concludes that the best solvent variation for pest elimination is a 0:1 ratio of ethanol and methanol durian peel waste and ethanol 80% for Dioscorea hispida tuber. The LC-MS/MS test results identified that alkaloid, flavonoid, and fatty acid compounds potentially caused larvae mortality.

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Wind farm sites selection using GIS and multi-criteria analysis: The case of Sumba Island - Indonesia

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AIP Conference Proceedings 2024年第1期2744卷

作者： Zul Afief Akbar Dewi Kania Sari Geodetic Engineering Study Program Faculty of Civil Engineering and Planning Institut Teknologi Nasional Bandung Indonesia

Renewable energy has grown rapidly nowadays. One of them is wind energy which also has been developed in Indonesia. One of the major technical challenges for wind energy development is to locate the areas with high suitability for placing wind farms, so finding suitable locations is critical for the economic success of wind farm operation. In the past few decades, Geographic Information Systems (GIS) have been widely used to assist for locating suitable sites for wind farms. In this study, GIS and multi-criteria decision analysis were used to select the suitable location for the wind farms in Sumba Island, Indonesia. There were five criteria used in the method, including distance to road, population density, wind potential, land use, slope, and added with exclusionary areas. The weighted overlay was used as the method to find the suitability wind farm sites with the concerns of geospatial layers related to the criteria. The resulted suitability map for the wind farm development in the study area gave five categories of suitability levels: unsuitable, very low, low, medium and high. Research results showed that around 21.5% area of Sumba Island fell into medium and high suitability levels. The method used in this study, if used with care, can be applied to other areas with a similar background.

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study on the General Regional Energy Planning of North Sumatra Province, Indonesia in terms of Biogas for Household Energy Demand

Study on the General Regional Energy Planning of North Sumat...

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2021 International Conference on Science and Contemporary Technologies, ICSCT 2021

作者： Ginting, Nurzainah Tarigan, Ap Mulia Purba, Yudisthira University of Sumatera Utara Department of Animal Husbandry Faculty of Agriculture Medan Indonesia University of Sumatera Utara Civil Engineering Program Study Faculty of Engineering Medan Indonesia University of Sumatera Utara Food Security and Animal Husbandry Services Medan Indonesia

ISBN: (纸本)9781665421324

Indonesia central government policy in managing national level energy plans must be succeeded by the government at the provincial level. Every province has to make its energy planning projection until 2050. This study aims to study the potential of biogas at provincial level. The method taken for this research is based on secondary data that refers to documents issued by the Department of Mines and Energy, data from the Department of Food Security and Livestock of North Sumatra Province as well as data from the Indonesia Statistic Bereau. These data are used as a basis for calculating the biogas energy potential of livestock. This research is limited to biogas particularly biogas from cow/buffalo for household hold energy necessity/cooking. The calculation results show that the biogas potential in 2050 is 1,178 TOE, meanwhile the projection data issued by the Department of Mines and Energy of the Province of North Sumatra in the first projection, namely business as usual (BAU) is 12 TOE and the second projection, namely the Regional Energy General Plan (RUED) is 55 TOE. Based on the result it can be recommended that biogas potential from livestock has to be utilised as much as possible for household energy necessity/cooking. It is reasonable because the result show the value reported by the Department of Mining and Energy BAU 12 TOE and RUED 55 TOE is far from the value resulted from this study where 1,178 TOE. © 2021 IEEE.

关键词： Biogas

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Mapping Research Trends and Visualization of E-learning in Entrepreneurship in the Last Ten Years 1

Mapping Research Trends and Visualization of E-learning in E...

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1st International Conference on electrical and Information Technology, IEIT 2021

作者： Maulana, Fairuz Iqbal Candra Pratama, Febby Permana, Frihandhika Khaeruddin Herasmara, Ridho School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia Diploma III Electronic Technology Vocational Study Program University of Muhammadiyah Malang Malang Indonesia Electrical Engineering Faculty of Science and Technology Raden Rahmat Islamic University Malang Indonesia

ISBN: (纸本)9781665417860

E-learning is a system or concept of education or learning process that utilizes information technology in the teaching and learning process anywhere and anytime. E-learning is widely applied in various fields of science. In this study, we draw scientific efforts on e-learning and entrepreneurship from publications in the Scopus database. We reviewed 218 academic documents published over the last 10 years, from 2011 to 2020. Our method is a global bibliometric analysis by visualizing connected networks using Vosviewer. The method used consists of five stages: determining search keywords, initial search results, refinement of search results, initial compilation, and data analysis. We researched several countries, affiliations, authors, subject areas, to types of publications that have relations in this field. Among the most published and indexed articles by Scopus, papers published by researchers in the China have the highest number of publications is 36 academic documents, followed by United States 18 academic publications, and Italy with 16 academic publications. The results showed that it had a limited impact, and through visualization, the network presented research gaps that future researchers should fill. The processed data shows the pattern and trend of increasing the number of international publications on E-learning in the field of entrepreneurship indexed by Scopus. Finally, we address the limitations of this study. © 2021 IEEE.

关键词： Visualization

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The Effect of Data Augmentation on the Accuracy of Fish Species Classification Using Deep Learning

The Effect of Data Augmentation on the Accuracy of Fish Spec...

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International Conference on Informatics and Computing (ICIC)

作者： Ellya Helmud Catur Edi Widodo Oky Dwi Nurhayati Doctor Information System Postgraduate Diponegoro University Semarang Indonesia Faculty of Information Technology Information Systems Study Program Atma Luhur Institute of Science and Business Pangkalpinang Indonesia Physics Department Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Fish image classification presents an intriguing challenge in the field of computer vision. This research aims to develop an accurate classification model to differentiate between four different fish species using a convolutional neural network. The dataset used consists of $\mathbf{3 0 1 0}$ fish images, divided into training, validation, and testing sets. The convolutional neural network model was trained both with and without data augmentation. Evaluation results show that the model trained with data augmentation achieved an accuracy of $95 \%$ with a loss value of 0.0983, slightly better than the model without augmentation which achieved an accuracy of $94.56 \%$ with a loss value of $\mathbf{0. 1 7 9 4}$. This indicates that data augmentation techniques are effective in improving model performance, likely because augmentation helps the model generalize better to variations in fish image data. The results of this research demonstrate the significant potential of convolutional neural network for fish image classification tasks. The developed model can serve as a foundation for the development of computer vision-based applications such as automatic fish species identification in fisheries or educational applications. Further research can be conducted by exploring different convolutional neural network architectures, more advanced data augmentation techniques, and larger datasets to improve model performance.

关键词： Deep learning Training Accuracy Computational modeling Computer architecture Fish Data augmentation Data models Convolutional neural networks Image classification

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Enhancing field-scale bioremediation of weathered petroleum oil-contaminated soil with biocompost as a bulking agent

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Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Helmy, Qomarudin Kardena, Edwan Environmental Engineering Study Program Institute of Technology Bandung Ganesa St. No. 10 West Java Bandung Indonesia Water and Wastewater Engineering Research Group Faculty of Civil and Environmental Engineering Institute of Technology Bandung Ganesa St. No. 10 West Java Bandung Indonesia

The field-scale cleanup of weathered petroleum oil-contaminated soils from the Minas Oil Fields in Indonesia was investigated using landfarming bioremediation technology. Sawdust produced from palm fronds, trunks, and bushes was used as a bulking agent, fermented with manure from cow, goat, and chicken dung as amylolytic and cellulolytic source microflora. Petrophylic bacteria known for their capability to degrade PAH were used as augmented microflora along with stimulated local indigenous microflora overgrown onsite. The findings demonstrated that, albeit at varying rates, the inoculum of native and augmented microflora raised the total colony-forming units (CFU) and the rate at which total petroleum hydrocarbons (TPH) were degraded in all contaminated soils treated in the soil bioremediation facilities (SBF). After 150 days of bioremediation operation, the bioremediation process for petroleum oil-contaminated soil effectively eliminated 165.79 kg of TPH from 2565 cubic meters of contaminated soil, with a recovery cost of 161 USD per cubic of treated soil. The initial average TPH concentration in the soil was 64,799 ± 9373 mg/kg and decreased to a lower concentration of 163 ± 74 mg/kg after bioremediation was completed. Both native and augmented petrophilic microflora showed significant growth over tenfold, with an average number of colonies at the initial stage of the bioremediation process ranging from 5.9 × 10⁵ to 6.6 × 10⁶ CFU per gram of soil. We show that a practical and affordable bioremediation technique is the onsite production of petrophylic microflora (both native and augmented) and compost from locally available biomass waste. © 2024 The Authors

关键词： Bioaugmentation Biocompost Bioremediation Field-scale Petroleum Petrophylic

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3d Aerodynamic Blade Performance of a Novel Plant Airfoil

SSRN

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SSRN 2023年

作者： Rosa, Firlya Soetikno, Priyono Suweca, I. Wayan Moelyadi, Mochammad Agoes Mechanical Engineering Study Program Faculty of Mechanical and Aerospace Engineering Bandung Institute of Technology Bandung40132 Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Bangka Belitung 33172 Indonesia Fluid Machinery Laboratory Faculty of Mechanical and Aerospace Engineering New and Renewable Research Bandung Institute of Technology Bandung40132 Indonesia

Based on the morphology of the banana leaf's midrib, this study investigates, designs, models, and analyzes the performance of a 3D airfoil in terms of aerodynamics. The objective is to discover if the banana leaf midrib airfoil is suitable for a low-wind-velocity horizontal-axis wind turbine. Model the aerodynamic analysis wind velocity at 3, 4, 5, 6, and 7 meters per second applying QBLADE and ANSYS Fluent. The selected tip speed ratio is 6 for a blade with a radius of 12.5 m and a chord length of 3.180 m. The investigation is conducted in 3D with QBLADE and ANSYS Fluent. Single Reference Frame (SRF) approach with periodic boundary conditions in ANSYS Fluent. According to the data, the coefficient of power was calculated to be 0.46 when QBLADE was used. The average margin of error was 16.4 percentage points lower when using ANSYS FLUENT software instead of QBLADE. Blades with a banana leaf midrib airfoil profile can offer good power even at low wind speeds, as shown by both programs. © 2023, The Authors. All rights reserved.

关键词： Morphology

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Cognitive dissonance analysis students choosing the higher education program in undergraduate program

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AIP Conference Proceedings 2024年第1期2891卷

作者： Akbar Fernanda Atyanti Dyah Prabaswari Muhammad Ragil Suryoputro Syafa Thania Prawibowo Industrial Engineering Program Study Faculty of Industrial Technology Universitas Islam Indonesia Yogyakarta Indonesia

Technological developments also affect the development of science. Universities, as one of the media that play an important role in science and discoveries, are also growing rapidly. The varied majors encourage students to be more selective in choosing them. This study examines the formation of cognitive dissonance in The Higher Education program in Undergraduate program students at the Higher Education program (HEP) Indonesia. The dimensions involved of cognitive dissonance were including emotional, wisdom of purchase, and concern over the deal. The emotional dimension is measured by 15-question indicators, the wisdom of purchase dimension is measured by 44-question indicators, and concern over the deal is measured by 3-question indicators. The research sample used 111 students of the 2017 and 2018 batches or third and fourth-year students of the HEP in Undergraduate Level. The analytical technique applied in this study uses factor analysis. The results of cognitive dissonance analysis using factor analysis on emotional variables showed that students were not upset to choose the intended undergraduate level of HEP in Indonesia, on the wisdom of purchase variable, it shows that students felt the need to choose the HEP in Undergraduate program. The concern over the deal variable showed that students did not feel confused in choosing the HEP in the Undergraduate Level.

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Biosilica forming by sol-gel extraction method of rice husk ash

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AIP Conference Proceedings 2023年第1期2630卷

作者： Lydia Anggraini Putri Laila Anggraina Temmy Wikaningrum Study Program of Mechanical Engineering President University Cikarang Bekasi West Java Indonesia Study Program of Environmental Engineering President University Cikarang Bekasi West Java Indonesia

Indonesia, as an agricultural country, produces much waste, especially from rice husk, which is a source of silica (SiO2) production. Rice husk contains about 87% - 97% SiO2 after complete combustion. SiO2 extraction from ash of rice husk is carried out using an extraction process of solid-liquid with an alkaline as a solution solvent. The solid-liquid extraction process was done with 10 grams mass of rice husk ash added with 80 ml of potassium hydroxide (KOH) solution with a concentration of 10%, 15%, and 20% to extract the SiO2 content with an operating time of 60 minutes. After the extraction process is complete, the solution is added with 1 N hydrochloric acid (HCl) to precipitate the SiO2. The SiO2 formed is then separated from the rest of the solution by filtration. The drying process is carried out to remove the moisture content of the resulting SiO2. In this systematic study, HCl-washed rice husks were carried out in a muffle furnace for 60 minutes. The results showed that the samples produced SiO2 with a polycrystalline structure, as confirmed by the results of analysis of the Energy-Dispersive X-ray Spectroscopy (EDS) that could be produced by solid-liquid extraction of KOH from rice husks ash. The amorphous SiO2 has potential application as natural filler in rubber and environmentally friendly natural compounds.

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