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Proceedings of the 7th International Conference on Sustainable Information engineering and Technology

作者： Muhammad Fadhli Ubaidilah Desy Intan Permatasari Fadilah Fahrul Hardiansyah Informatics Engineering Study Program Politeknik Elektronika Negeri Surabaya Indonesia

ISBN: (纸本)9781450397117

Software testing is a phase in software development to ensure software quality. As more and more software is developed for web and mobile platforms, Software Quality Assurance (SQA) Engineer is responsible to test software on both platforms to ensure functionality on each platform. While automated test can be implemented to reduce the workload of SQA Engineer, it has its setbacks as automated test needs a huge effort to maintain it and available tools to develop automated test currently only support one platform. In this research, an automated test framework is proposed and developed that can test both web and mobile platforms. Compared to an automated test project that uses separate tools, a project that uses the proposed framework has 2.57% higher maintainability index. A user test to 3 SQA Engineers has also been conducted and the proposed framework has generally been given high maintainability rating.

关键词： software testing selenium multi-platform automated test appium

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Removal of total dissolved solids from oil-field-produced water using ceramic adsorbents integrated with reverse osmosis

Removal of total dissolved solids from oil-field-produced wa...

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3rd International Conference on Chemical engineering and Applied Sciences, ICChEAS 2022

作者： Herawati, Netty Hatta Dahlan, Muhammad Yusuf, Maulana Iqbal, Maulid M. Ahmad Roni, Kiagus Nasir, Subriyer Doctoral Engineering Program Faculty of Engineering Universitas Sriwijaya Jl. Srijaya Negara Palembang30139 Indonesia Chemical Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Mining Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Civil Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Chemical Engineering Study Program Faculty of Engineering Universitas Muhammadiyah Palembang Jl. Jend. A. Yani 13 Ulu Plaju Palembang30137 Indonesia

Total dissolved solids (TDS) consisting of inorganic salts and organic matter are pollutants to the aquatic and water systems for human use. This paper studied the effect of ceramic adsorbent composition on improving the quality of the produced water (PW) by decreasing TDS before entering reverse osmosis (RO). Manufacturing ceramic adsorbents use a mixture of spent catalysts of residues catalytic cracking (RCC) and natural clay in various compositions. Experiments were performed using the PW from one oil and gas company in South Sumatra, Indonesia. The initial characterization of produced water contains total dissolved solids of 14,556 mg/L. The flow rate of PW into the ceramic adsorbent column were varied from 6 to 8 L/min at a contact time of 15 to 120 min. The results showed that ceramic adsorbent A (diameter 10 mm and thickness 10 mm, 70% clay, and 30% RCC) reduced TDS by 74.58%. Adsorbent B (diameter of 20 mm and thickness of 10 mm, 70% RCC and 30% clay) lowers TDS by 56.68% at a flow rate of 6 L/min and a contact time of 60 min. Adsorbent C (diameter of 10 mm and thickness of 10 mm, 30% clay, and 70% RCC) reduced TDS by 59.40% at a flow rate of 6 L/min and a flow time of 60 min. Adsorbent D (diameter of 20 mm, thickness of 10 mm, 30% clay, and 70% RCC) lowers TDS by 54.38% at a flow rate of 6 L/ min and a contact time of 60 min. After being transferred into the adsorption column, their filtrates were sent into the Reverse Osmosis (RO) membrane. The final permeates of RO have TDS values between 1,720 mg/L to 3,930 mg/L that met water standards for oil and gas exploration wastewater in Indonesia. © 2023 Elsevier Ltd. All rights reserved.

关键词： Produced Water

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Early Detection and Classification of Melanoma Based on Android MobileNet V2 Convolutional Neural Network

Early Detection and Classification of Melanoma Based on Andr...

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

作者： Prabandari, Jasmine Iswarini Dyah Sari, Christy Atika Rachmawanto, Eko Hari Irawan, Candra Altamer, Bilal R. Alkhafaji, Mohamed Ayad University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia University of Dian Nuswantoro Study Program in Information Systems Semarang Indonesia Mosul University Presidency University of Mosul Mosul Iraq National University of Science and Technology Department of Computer Science DhiQar Iraq

ISBN: (纸本)9798350339215

Melanoma is a malignant form of cancer that affects the skin and has a particularly high mortality rate, so it requires early detection to increase the level of safety for users. Diagnosis and detection of skin cancer are usually done through manual screening and visual inspection. This process requires a long time, has high complexity, is subjective, and is prone to errors. CNN is one of the algorithms with advantages in accurate classification. In this research, early detection and classification of melanoma cancer were carried out based on two classes, namely benign and malignant using the Convolutional Neural Network method. Our proposed method yields an accuracy of 81.11% for the validation data. The accuracy results obtained can be improved by using more datasets and increasing the number of layers used. This study uses the CNN method using MobileNet V2 architecture to detect melanoma skin cancer. The class used is benign and malignant. © 2023 IEEE.

关键词： Convolutional neural networks

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Work system method as an e-learning design framework in private universities 3

Work system method as an e-learning design framework in priv...

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3rd International Conference on Vocational Education and Technology, IConVET 2020

作者： Supriana, C.E. Informatics Engineering Study Program Pasundan University Bandung Indonesia

The development of information and communication technology, especially the internet provides opportunities to improve the ability of lecturers to deliver courses to students without being limited by distance and time. This can be done by utilizing e-learning which will accelerate the transfer of knowledge and skills. E-learning is distance education that utilizes various digital tools and platforms. These tools and platform are used to support interaction, lectures and delivery of instructions between lecturers and students. This study will discuss the use of work system methods and the use of e-learning technology in a business entity. The work system methods are used to design information systems. Meanwhile e-learning technology in a business entity serves lecturers and students, conduct lectures at private universities in increasing knowledge dissemination, educational affordability and the use of technology and information as its support. The result of this research is the works system method model which refers to the analysis of data from the internet accessibility survey of students, analysis of its components, the system development cycle, the revision of the vision, mission and resources in private universities and recommendations of opportunities for the development of higher quality e-learning implementation. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Observing Generator Performance by Finite Element Analysis Considering Coil Numbers 5

Observing Generator Performance by Finite Element Analysis C...

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5th International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2023

作者： Habibi, Muhammad Afnan Ali Irfani, Mochamad Farhan Gumilar, Langlang Kusumawardana, Arya Aripriharta Baskoro, Angger Universitas Negeri Malang Study Program of Power Plant Engineering Technology Malang Indonesia Universitas Negeri Malang Department of Electrical Engineering and Informatics Malang Indonesia National Yang Ming Chiao Tung University Dept. Electrical Engineering and Computer Sciences Hsinchu Taiwan

ISBN: (纸本)9798350369717

This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies. © 2023 IEEE.

关键词： Finite element method

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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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Enhancing Agricultural Efficiency and Sustainability Through Smart Direct Couple Motor Operated Valve: A Technological Innovation for Automated Irrigation and Fertilization

SSRN

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SSRN 2024年

作者： Nugraha, Muhamad Hanhan Hanhan Rabbika, Anes Inda Rusdja, Andy Permana Bustomi, Ahmad Mechanical Engineering Study Program Mechanical Engineering Department State Polytechnic of Jakarta Depok16425 Indonesia Manufacturing Engineering Technology Study Program Mechanical Engineering Department State Polytechnic of Jakarta Depok16425 Indonesia Mechanical Engineering Study Program Faculty of Engineering Mayasari Bakti University Tasikmalaya46196 Indonesia

This research introduces the Smart Direct Couple Motor Operated Valve (SDCMOV), designed to enhance agricultural efficiency and sustainability. SDCMOV automates the distribution of water and fertilizers in vegetable farming, reducing labor intensity and inefficiencies. The system addresses key issues such as minimizing musculoskeletal disorders (MSDs) among farmers and ensuring consistent nutrient delivery for optimal plant growth. Energy-efficient, environmentally friendly, and remotely controllable via mobile devices, SDCMOV significantly improves irrigation and fertilization processes. Experimental results suggest that SDCMOV is a viable solution for sustainable and modern agricultural practices, particularly in developing countries. © 2024, The Authors. All rights reserved.

关键词： Irrigation

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Decision Support System in Determining the Achievement of Widyaiswara Value Using WASPAS and TOPSIS Algorithm 1

Decision Support System in Determining the Achievement of Wi...

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1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022

作者： Pratama, Yudhistira Adhitya Iswara, Bagus Ajie Nababan, Adli Abdillah Information System Studies Program Pelita Harapan University Medan Campus Faculty Of Computer Science Medan Indonesia Master's Study Program Informatics Engineering Universitas Sumatera Utara Faculty Of Computer Science And Information Technology Medan Indonesia Digital Business Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (数字)9781665488266

ISBN: (纸本)9781665488266

Widyaiswara is required to show the best performance to fulfill his duties and obligations. Therefore, it is very important to measure the performance of the Widyaiswara, so that it can be used as evaluation material by the BPSDM PROVSU. However, the assessment process that occurs is still not precise and time-consuming. Therefore, to minimize this, a decision support system is needed that can minimize time errors and data processing in decision-making so that the assessment runs well and accurately. This system was built by applying the WASPAS method and the TOPSIS method. Based on the results of tests carried out five times, the results of the WASPAS method processing time resulted in an average processing time of 0.00029791 ms and an average memory usage value of 2.836.44 kb, while the results of the TOPSIS method processing time test resulted in an average processing time - an average of 0.000296428 ms and an average memory usage value of 2.862.34 kb. © 2022 IEEE.

关键词： Decision support systems

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The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans Jateng Purwokerto-Purbalingga Ridership 8

The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans ...

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

作者： Kusumawardani, Dwi Mustika Saintika, Yudha Romadlon, Fauzan Information System Study Program Faculty of Informatics Institut Teknologi Telkom Purwokerto Purwokerto Indonesia Industrial Engineering Study Program Faculty of Industrial Engineering and Design Institut Teknologi Telkom Purwokerto Purwokerto Indonesia

ISBN: (纸本)9781665416979

The rapid development of technology presents a new paradigm, one of which is in the transportation sector. The concept of smart mobility is one of the components in the realization of a smart city, which is closely related to the transportation sector. The Purwokerto-Purbalingga Bus Rapid Transit (BRT) is the government's effort to encourage the transportation sector towards smart mobility. It requires three crucial categories: Accessibility, sustainability, and communication and information technology. This study proves and explains that these three categories can be fulfilled by the Purwokerto-Purbalingga Bus Rapid Transit, especially from women's perception, indicated by an average accessibility score of 4.04, sustainability of 4.22, and Information and Communication Technology of 3.80. Efforts that can be taken by the government and Bus Rapid Transit managers include monitoring and evaluating bus stops and bus arrival frequencies as well as developing mobile-based applications that provide real-time information related to bus rapid transit. © 2021 IEEE.

关键词： Sustainable development

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Urban geotourism development in the perspective of stakeholders

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International Journal of Geoheritage and Parks 2025年第1期13卷 102-116页

作者： Hadian, Mohamad Sapari Dwi Barkah, Mochmad Nursiyam Khadidjah, Ute Lies Siti Yuliawati, Ayu Krishna Aryanti, Asti Nur Suhardiman, Sani Geological Engineering Padjadjaran University Bandung 45363 Indonesia Communication Faculty Padjadjaran University Bandung 45363 Indonesia Economics and Business Education Faculty Indonesia University of Education Bandung 40154 Indonesia Management Study Program Universitas Indonesia Membangun Bandung 40266 Indonesia English Language Education Yogyakarta State University Sleman 55281 Indonesia Engineering Faculty Universitas Buana Perjuangan Karawang 41361 Indonesia

Geotourism is rapidly experiencing rapid growth in developing countries, such as Indonesia, and it is a component of sustainable tourism. In addition, the country has many areas of geodiversity in cities or towns that potentially can become urban geotourism destinations, such as the Bandung Basin area. This region is characterized by geological features, including young volcanic rocks surrounding the mountains, alluvial fans, and lake deposits at lower elevations extending from Rancaekek to the base of Mount Lagadar in the western part of the area. Therefore, this research aims to analyze the respective roles of stakeholders in urban geotourism development. The study used literature review and interview methodology, where data was interpreted with stakeholder analysis, and complemented by descriptive analysis. The results showed that stakeholders were divided into primary (quadrant 1), key (quadrant 2), and secondary (quadrant 3) categories, each with distinct interests and degree of influence. As urban tourism expands, it presents ongoing opportunities to cultivate sustainable practices within these locales. The establishment of urban geotourism necessitates the identification and evaluation of engaged stakeholders. The subsequent planning and management initiatives for the Bandung Basin area can be enhanced through the active participation of stakeholders. © 2025 Elsevier B.V.

关键词： Indonesia stakeholder analysis urban geotourism volcanoes

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