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International Conference on Information Technology, Information Systems and electrical engineering (ICITISEE)

作者： Mhd Arief Hasan Riyanarto Sarno M. Syauqi Hanif Ardani Informatics Department Intitut Teknologi Sepuluh Nopember Surabaya Indonesia Informatic Engineering Study Program Universitas Lancang Kuning Pekanbaru Indonesia

In this study, we built an Electronic Nose to detect pineapple ripeness. We designed a prototype E-Nose using a wooden crate. Inside the box, we built the E-Nose using 9 MQ sensor circuits connected to the Arduino Microcontroller. In the crate, we put an object, namely a pineapple with three levels of ripeness (ripe, half ripe, and unripe), each weighing 1kg placed in three different positions (5cm, 20cm, and 35cm) from the position of the sensor array (E-nose). We converted the signal output results into ppm units. We compared the value of each fruit signal based on the level of ripeness and distance using E-Nose. We used several signal processing methods (wavelets) for signal processing. Then, we improved the signal generated using wavelet. The wavelet methods used are Moving Average, Fast Fourier Transform (FFT), and Discrete Wavelet Transform (DWT). The contribution of this research is to see the influence of the signal valuegenerated from the sensor (MQ Sensor) to the position (distance) of the object (fruit) and its influence on the level of maturity (fruit). Then signalgenerated from the sensor we make improvements with the mva, fft, and dwt methods.

关键词： electrical engineering Microcontrollers Fast Fourier transforms Array signal processing Prototypes Electronic noses Discrete wavelet transforms

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Integrated microalgae culture with food processing waste for wastewater remediation and enhanced biomass productivity

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Chinese Chemical Letters 2023年第2期34卷 636-643页

作者： Angela Paul Peter Kit Wayne Chew Apurav Krishna Koyande Heli Siti Halimatul Munawaroh Amit Bhatnagar Yang Tao Chihe Sun Fubao Sun Zengling Ma Pau Loke Show Department of Chemical and Environmental Engineering Faculty of Science and EngineeringUniversity of Nottingham MalaysiaJalan Broga43500 SemenyihSelangor Darul EhsanMalaysia Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection Wenzhou UniversityWenzhou 325035China Study Program of Chemistry Department of Chemistry EducationFaculty of Mathematics and Science EducationUniversitas Pendidikan IndonesiaBandung 40154Indonesia Department of Separation Science LUT School of Engineering ScienceLUT UniversitySammonkatu 12FI 50130MikkeliFinland College of Food Science and Technology Nanjing Agricultural UniversityNanjing 210095China Key Laboratory of Industrial Biotechnology Ministry of EducationSchool of BiotechnologyJiangnan UniversityWuxi 214122China Department of Sustainable Engineering Saveetha School of EngineeringSIMATSChennai 602105India

Waste generation from food manufacturing facilities poses a serious hazard like environmental degradation, water pollution, and land pollution due to its high nutrient composition. Specifically, solid waste(powder) disposal requires additional energy sources in terms of scientific treatment, structured collection, and disposal packaging according to the safety regulation. Thus, this research discusses the viewpoint of integrating food processing waste as an organic carbon source with BG-11 medium for Chlorella vulgaris(FSP-E) growth. The food processing waste powders investigated in this study were obtained from milk, and biscuit manufacturing facilities. The culture medium was modified by combining both BG-11 and food processing waste powders to identify the optimal algal growth and biochemical *** to the microalgae grown in BG-11 alone(IBG), the combination of biscuit waste and IBG produced higher biomass concentration(44%), with increased lipid(11%), protein(20%), and carbohydrate(57%) contents. Chlorella vulgaris was able to uptake nutrients from the culture medium with combination of food processing waste and IBG thus enhancing its growth. The results obtained also indicate that an integrated culture system using food processing waste and synthetic sources can generate energy out of waste by improving the bio-composition of the microalgae biomass.

关键词： Medium contamination Food processing Waste powder Organic medium Waste remediation

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Forecasting system using single exponential smoothing with golden section optimization 2

Forecasting system using single exponential smoothing with g...

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2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Widitriani, N.P.S. Parwita, W.G.S. Meinarni, N.P.S. Study Program of Informatics Engineering STMIK STIKOM Indonesia Denpasar-Bali80225 Indonesia

Puri Wira Mahkota Ltd is a distributor company in the automotive parts industry. Puri Wira Mahkota has an obstacles in preparing weekly order on stock to the primary production unit. They predict total sales of product in the coming period just by using an expectation from stock administration staff then it will be compared with sales data in the previous period without any calculations using a definitive formula. Forecasting calculation could support Puri Wira Mahkota to predict the quantity of product. The purpose of this research is to apply the calculation process that can predict the quantity of product should be produced by the primary production unit every month and also to prevent over stock and out of stock. The method used in the forecasting calculation is Single Exponential Smoothing. To optimize Single Exponential Smoothing we used the Golden Section. The principle of the Golden Section is to reduce the alpha area boundary so it will produce an ideal forecast value with the minimum MAPE (Mean Absolute Percentage Error) level. This research shows the results that the Golden Section finds the optimal forecasting value with a level of MAPE (Mean Absolute Percentage Error) of 43.39%. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Sales

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On the Dominant Local Metric Dimension of Corona Product Graphs

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IAENG International Journal of Applied Mathematics 2022年第4期52卷

作者： Umilasari, Reni Susilowati, Liliek Slamin Prabhu, Savari Mathematics Department Airlangga University Indonesia Study Program of Informatics Jember University Indonesia Mathematics Department Rajalakshmi Engineering College Tamil Nadu Chennai602105 India

A nontrivial connected graph T which one of the vertex is v, v is said to distinguish two vertex u;t if the distance between v and u is different from v to t, where u,t (Formula Presented) V (T). Metric dimension is one topic in graph theory that uses the concept of distance. Combining the definition of the local metric dimension and dominating set, there is a new term, we called it dominant local metric dimension and symbolized as Ddiml(T). An ordered subset Wl = {w1,w2,…,wn}(Formula Presented)V (T) is called a dominant local resolving set of T if Wl is a local resolving set as well as a dominating set of T. The goal of this paper’s research is to determine precise values of dominant local metric dimension for the corona product graphs. n copies of the graphs P1,P2,…,Pn of P are made to constructed the corona of any two graph T and P. After that, we link the i-th vertex of T to the vertices of Pi, where n is an order of graph T. T corona P is symbolized by T(Formula Presented)P. © 2022,IAENG International Journal of Applied Mathematics. All Rights Reserved.

关键词： Graph theory

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Implementation of Malaria Detection Using MobileNetV2 Pretrained Model for Improved Deep Learning Based Diagnostics

Implementation of Malaria Detection Using MobileNetV2 Pretra...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Rahmat Hidayat Achmad Solichin Adhitia Erfina Sudin Saepudin Muhamad Muslih Mohd Zainuri Saringat Master of Computer Science Budi Luhur University Jakarta Indonesia Information Systems Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Tun Hussein Onn Malaysia University

ISBN: (数字)9798331529376

ISBN: (纸本)9798331529383

The Plasmodium parasite, which causes malaria, is an acute fever illness that infects people when a female Anopheles mosquito bites them. It is predicted that malaria would claim 619,000 lives in 2021, with 96% of those deaths occurring in the African continent. We can achieve this by using a microscope to examine thick and thin blood smears. The proficiency of a microscope examiner is crucial for doing microscopic examinations. Consider how time-consuming, ineffective, and costly it would be to examine thousands of malaria cases. Consequently, Creating an automated method for detecting malaria parasites is the aim of this study. We employ a MobileNetV2 pretrained model with CNN technology. Because it has been trained on dozens or even millions of data points, this pretrained model is incredibly light but dependable. There are two main benefits of automatic malaria parasite detection: firstly, it can offer a more accurate diagnosis, particularly in locations with limited resources; secondly, it lowers diagnostic expenses. The optimizer utilizes Adam Weight, the criteria uses NLLLoss, and the model is trained using 32 for batch_size. In the fourteenth epoch, we obtained the maximum accuracy score of 96.26% based on the training data. The outcomes of the predictions demonstrate how excellent this score is. EfficienceNet, DenseNet, AlexNet, and other pretrained models are among the alternatives that scientists are advised to try training with.

关键词： Training Adaptation models Accuracy Costs Malaria Microscopy Data visualization Training data Cost function Data models

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Implementation of the Lagrange interpolation function in the motion planning system of a 1 DOF robot arm

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AIP Conference Proceedings 2023年第1期2706卷

作者： Setyo Supratno Subekhan Awaludin Mukhamad Sugeng Seta Samsiana Taufiqur Rokhman M. Amin Bakri Electrical Engineering Study Program Faculty of Engineering Islamic University “45 Bekasi Bekasi Indonesia Mechanical Engineering Study Program Faculty of Engineering Islamic University “45 Bekasi Bekasi Indonesia

A manipulator robot is a robot that has a mechanical system consisting of an arrangement of arms and joints that can produce controlled movements. A robotic arm usually consists of several joints including the base, shoulder, elbow, roll, gripper, and pitch of the gripper. Robot movement is generated from mathematical calculations performed in the controller. The motion of the manipulator robot follows a motion trajectory. The motion trajectory is made based on a collection of stop points and effectors. This study aims to create a robot motion trajectory design system using Lagrange interpolation. Lagrange interpolation is engineered to be embedded in precise microcontroller control systems. In this study, an Arduino Uno R3-based microcontroller was used as a data acquisition module. Prediction of the robotic arm's trajectory has been successfully made using Lagrange interpolation. The rise time is 15 seconds, the delay time is 12 seconds, the steady-state time and the peak time are 21 seconds. While the second experiment increased 9 seconds, 7 seconds of delay, steady-state time, and 13 seconds of peak time. Then for the third experiment, the rise time is 17 seconds, the delay time is 14 seconds, the steady-state time and the peak time are 22 seconds, the overshoot value and the steady-state error value is 0% where the output value produced is by the input value.

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Developing learning media of electronic fuel injections (EFI) system android-based in piri 1 yogyakarta vocational high school 3

Developing learning media of electronic fuel injections (EFI...

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3rd International Conference on Vocational Education of Mechanical and Automotive Technology, ICoVEMAT 2020

作者： Ikhsan, M.R. Solikin, M. Rohman, J.N. Automotive Engineering Education Study Program Universitas Negeri Yogyakarta Indonesia Graduate Program Student Mechanical Engineering Politechnika Wroclawska Wroclaw Poland

This research aims to: (1) producing android-based Electronic Fuel Injections (EFI) learning media;(2) knowing the feasibility of android-based EFI learning media;and (3) knowing students' responses to the learning media of the Android-based Electronic Fuel Injections (EFI) system. The rsearch was conducted using the Borg and Gall model modified by Sugiyono. The technique of data collection is done by questionnaire, while the data analysis technique uses descriptive quantitative methods. The results of the research were obtained: (1) products in the form of Android-based Electronic Fuel Injections (EFI) system learning media;(2) learning media in terms of material included in the very feasible category and in terms of media included in the very feasible category;and (3) students' responses when testing the product, the aspects of use are included in the category very easily and the aspects of usefulness are included in the category of very useful. The response of students when testing the use, the aspects of use included in the category is very easy and the usefulness aspects including the category is very useful. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Students

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Utilization of plastic waste processing for oil fuel at Tambaan Beach, Pasuruan City

Utilization of plastic waste processing for oil fuel at Tamb...

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2019 International Conference on Innovation and Technology, ICIT 2019

作者： Rudianto, R. Yudaningtyas, E. Lelono, T.D. Kasitowati, R.D. Marine Science Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Brawijaya Malang Indonesia Fisheries Resource Utilization Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia

The amount of waste in Indonesia is estimated to reach 68 million tons in 2019, of which 9.52 million tons is a plastic waste. With this amount, Indonesia is ranked second in the world as the largest producer of plastic waste. One area that suffers from plastic waste is the coastal area. This plastic waste is difficult to decompose and cause environmental problems. Likewise, it happened on the Tambaan coast in Tambaan sub-district, Panggungrejo subdistrict, Pasuruan city. Currently, accumulation of plastic waste is evident throughout the coastal area. The accumulation of scattered plastic waste and its proximity to the residents' settlements has become a hotbed of mosquitoes and caused a pungent smell. The Serving Doctoral program at Universitas Brawijaya offers a solution to process plastic waste into fuel oil such as diesel, kerosene, and premium. The technology used was Muryani's distillation from Wlingi, Blitar Regency. The technology can change certain types of plastic waste to produce fuel. Karang Taruna Bina Hang Tuah was acted as a reliable partner to assist the implementation of the technology on site. This study aims to strengthen the capacity of Karangtaruna in Tambaan Village to be more concerned about the environmental problems of Tambaan beach by processing waste that has been polluted by plastic waste. The results of plastic waste treatment showed that 10 kg of dried plastic waste can be transformed into diesel, premium and kerosene with the efficiency value of 60%, 35%, and 15%, respectively. © Published under licence by IOP Publishing Ltd.

关键词： Distillation

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Salt Hash Password Using MD5 Combination for Dictionary Attack Protection

Salt Hash Password Using MD5 Combination for Dictionary Atta...

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International Conference of Computer and Informatics engineering (IC2IE)

作者： Agung Nugroho Teddy Mantoro Cyber Defense Engineering Study Program Sains and Defense Technology Faculty The Republic of Indonesia Defense University Bogor Indonesia Departement of Computer Science Media-Tech Lab Sampoerna University Jakarta Indonesia

Using MD5 hashing of passwords in web logins is highly vulnerable to dictionary attacks. One online application for cracking hashed passwords using a dictionary attack that is free and easy to use is ***. Even so, the use of hashing passwords using MD5 which has a low level of security is still commonly found to secure web login passwords. This research presents an increase in security through a combination of salt hash passwords when using MD5. The methodology of this study uses a quantitative experimental method to apply hash salt passwords using the MD5 combination. The password cracking test was carried out using the *** online hash cracking application on weak passwords such as “admin” with the addition of a password hash salt using the MD5 combination. The results showed that Salt Password using the MD5 combination could not be cracked by *** using a dictionary attack.

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The treatment of Raw Water Sources of Drinking Water using Chitosan/Mg/Al-LDH Composites: Problem cases in Municipal Waterworks in Banjarmasin

The treatment of Raw Water Sources of Drinking Water using C...

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Joint International Conference on Civil, Environmental, and Geo engineering 2019, JIC-CEGE 2019

作者： Irawan, C. Ramadhan, M.W. Nata, I.F. Putra, M.D. Chemical Engineering Study Program Engineering Faculty Lambung Mangkurat University Banjarbaru South Kalimantan Indonesia

A study was done on treatment of raw water sources for drinking water using chitosan/Mg-Al LDH (CS/Mg/Al-LDH) composites by adsorption process. An analysis on the adsorbent characterizations of FTIR, SEM and XRF showed that the CS/Mg/Al-LDH had many different functional groups and a high specific surface area for adsorption processes. The CS/Mg/Al-LDH showed high adsorption uptake capacity and selectivity for iron (Fe), turbidity, and colour in the raw water sources for drinking water in Municipal Waterworks in Banjarmasin. Therefore, the CS/Mg/Al-LDH composites have the potential to be used as an adsorbent in water and wastewater treatment. © Published under licence by IOP Publishing Ltd.

关键词： Potable water

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