bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technology of Auto Teller Machine Interface: Accessibility for Bank Customer with Visual Impairments
Authors: Subekti Priyo , Hafiar Hanny , Setianti Yanti 
Published: February 2021

Abstract
Auto Teller Machine (ATM) is one of the banking facilities that attract customers with visually impaired to take advantage of banking services. However, there are still some obstacles faced to utilize technology related to ATM, this is because the technology owned by a number of ATMs is not in accordance with the conditions of customers with visual impairments. Therefore, this study aims to determine the ability of customers with visual impairments in operating ATM machines and determine the difficulties experienced when operating them. This research uses a quantitative descriptive research method by using the main research instrument in the form of a questionnaire and supporting data obtained through focus group discussions conducted with a number of respondents selected purposively. The results show that there are several difficulties faced by customers with visual impairments when using ATM facilities provided by banks. These difficulties include difficulty accessing ATM locations, queuing to use ATMs, inserting cards and taking cash out of ATM machines, taking proof of transaction slips, and difficulties when experiencing errors when using ATM machines that are not equipped with security personnel, so they have difficulty reporting the obstacles they face. While the most common difficulties experienced by customers with visually impairments when dealing with ATM machines are accessing information contained on the ATM screen, entering the pin number on the ATM machine that is not equipped with a button that can help customers with visually impaired, following the instructions for use listed on the ATM screen, as well as typing on the ATM screen type touch screen.
System Development Management E-School as a Students Information Media
Authors: Febrianty  , Hadiwijaya Hendra , Octafian D. Tri 
Published: February 2021

Abstract
The Filial e-school website of LPKA Class I Palembang has indeed provided supporting learning materials for students for formal education at elementary, junior high, and high-school levels. However, entrepreneurship-materials are not yet available on the website as an effort to equip the future of students after leaving LPKA is very important to be improved. The development of e-school Filial LPKA was carried out by presenting entrepreneurial materials interactively. The method used in developing entrepreneurship learning multimedia video tools is the Multimedia Development Life Cycle (MDLC) method. Entrepreneurship-material is presented in a multimedia video format that can be accessed by students at a booth in the LPKA environment. The booth provided is equipped with a set of multimedia personal computers that are connected to the internet network. Each student is given their respective account by the LPKA to be able to access entrepreneurial-material video content on the e-school website with the URL address:https://e-schoolfiliallpka.com. Every student who accesses this e-school website, can interact directly with the system provided, for example by asking questions about the entrepreneurial video material being watched and questions will be answered by practitioners/contributors, students can also express their interest by giving likes. LPKA can also monitor student visit charts for each video material they watch and graphics of student favorite video material. The LPKA party can find out the area of interest of each student that is available so that this effort is expected to increase the motivation and ability of their entrepreneurs in the future. The e-school website also provides a virtual online gallery space for students’ work so that the products of entrepreneurship while at LPKA can be exhibited to the public so that the wider community can find out and visit online and in this way is expected to increase their confidence in the work.
Why is the Application Programming Interface the backbone of a Smart City?
Authors: Wahyuni Fitria , Fitriati Rachma 
Published: February 2021

Abstract
Improved informatiAbstractcommunication technology, causing smart city initiatives have developed in major cities in the world since the last decade. Smart cities aim to create sustainable urban development. Through the Ministry of Communication and Information of the Republic of Indonesia implemented the “100 cities to smart city” program, which began in 2017. The purpose of this article is to analyze the Application Programming Interface (API) as the Smart City backbone in Samarinda as a buffer city for the capital of the Republic of Indonesia in 2024 This study uses a qualitative approach with data collection techniques through in-depth interviews, FGD, observation and emphasizes on document analysis. This study provides the following conclusions. First, Samarinda City Government has carried out various transformations and innovations so that the city of Samarinda is competitive and ready to become a buffer city for the Republic of Indonesia’s capital in 2024. Second, infrastructure development is necessary as a means of supporting smart cities. To facilitate the implementation of API in Samarinda City. Recommendations from this research for the successful implementation of API in Samarinda City as a buffer for the nation’s capital in 2024 are as follows. First, there needs to be a more comprehensive strengthening of policies and regulations because there are regional apparatus of the Samarinda City Government that have an information system that is not integrated with the API. Second, there needs to be an increase in human resources, especially the State Civil Apparatus and / or Civil Servants, directly related to API. This study proves that there are no consolidated standards or best practices for smart governance because each city can implement different governance frameworks and models in achieving smart cities according to their local wisdom and city resources.
Prediction System of Facility Maintenance using Weight Product (WP) Algorithm
Authors: Enggari Sofika , Rani Larissa Navia , Marfalino Hari , Putra Deri Marse 
Published: February 2021

Abstract
This study aims to create a decision support system in determining the priority of facilities maintenance work. The current priority system of maintenance work is based on various criteria with uncertainties that often results in work that is not completed or requires a long time to work on it. It happens because the scheduling of maintenance priorities is wrong. Therefore, it needs a method of selecting priority maintenance in order to get a more accurate decision. This decision system design uses the WP method to consider the maintenance department to determine the priority selection of facility maintenance. The basic concept of the WP method is the method of solving using multiplication to link the attribute rating, where the rating must be raised first with the weight of the attribute in question. This process is the same as the normalization process. Based on this study, the results were obtained in the form of a priority level of maintenance work quickly and precisely on target from the results of the assessment and calculation of the priority level of maintenance work. Thus, using this method can increase the accuracy by 80% in determining the priority of the facility maintenance that will be conducted.
Consumption Analysis of Caffeine Using Mobile Application
Authors: Wijaya I Nyoman Yudi Anggara , Artana I Made , Dewi Nyoman Ayu Nila , Paramitha A.A. Istri Ita , Estiyanti Ni Made 
Published: February 2021

Abstract
Coffee is one of popular drinks in public because of its unique taste and flavor. Coffee contains caffeine, a psychoactive that is used to reduce fatigue and sleepiness. Daily caffeine consumption showed that average caffeine consumption of a person was 180.94 mg to 319.32 mg per day. Excessive caffeine consumption can disturb health of an individual. Coffee is a major source of caffeine throughout the world. Indonesia has traditional coffee preparations, namely “kopi joss” Ideal proportion of coffee consumption of the ‘kopi joss’ can be determined based on body weight. Therefore, a mobile application is developed in order to help users in determining amount of caffeine contained in coffee powder based on weight of the coffee, and especially to know ideal amount of coffee consumption based on a bodyweight.
Mask R-CNN for Indonesian Shadow Puppet Recognition and Classification
Authors: Sudiatmika Ida Bagus Kresna , Artana Made , Utami Nengah Widya , Putra Made Adi Paramartha , Dewi Eka Grana Aristyana 
Published: February 2021

Abstract
Region-based Convolutional Neural Networks (R-CNN) have achieved remarkable achievements in object recognition and detection. In this paper, Mask R-CNN is introduced to detect and recognize Indonesian Shadow Puppet patterns. Indonesian Shadow Puppet (Wayang) is one of the traditional Indonesian arts that depict stories, one of the stories is the Mahabharata. Our aim for conducting this research is to protect Indonesian Puppets (Wayang) from extinction through systemic pattern recognition. The algorithm used in this study is Mask R-CNN. Mask R-CNN training to recognize Indonesian Shadow Puppet requires many labels that are difficult to obtain. Therefore, the authors carried out data augmentation to add datasets to improve training. Furthermore, testing is done using several learning rates. This test is done using a Cloud GPU. The results of the tests show that the accuracy of the training obtained is 92.04% and the accuracy of validation with the learning rate value set is 0.0001. Testing the model in this study successfully tested the puppet pattern.
Optimization of Unsupervised Learning in Machine Learning
Authors: Sibyan Hidayatus , Suharso Wildan , Suharto Edi , Manuhutu Melda Agnes , Windarto Agus Perdana 
Published: February 2021

Abstract
The Ombudsman of the Republic of Indonesia (hereinafter referred to as the Ombudsman) is a state institution (independent) that has the authority to oversee the administration of public services. The purpose of this study is to analyze the completion of reports/complaints from the public by using unsupervised learning techniques in machine learning. The data source used is the statistical report/public complaints based on the classification of the reporter and how to submit it in each provincial regional office (simpel.ombudsman.go.id). The unsupervised learning techniques in machine learning that are used are clustering (k-medoids) and classification (C4.5) which are part of data mining. k-medoids is tasked with mapping community reports/complaints based on provincial regional offices. The results of the mapping will be classified to get the range of values from the existing mapping. The calculation process uses the help of RapidMiner software. The distribution labels used were 4 clusters namely the percentage of completion of the “very good” report (C1) of 9 provinces; percentage of “good” report completion (C2) of 10 provinces; percentage of completion of “lacking” reports (C3) of 11 provinces; percentage of “bad” report completion (C4) of 3 provinces. The Davies-Bouldin Index value on the map is 0.530 (optimal). The results of the mapping can be information in improving the quality of public services in the completion of the report including the provinces included in the C3 and C4 clusters with the percentage of report completion classification (C4 = 0 - 20.70% and 20.70% > C3 < 47.69%).
Application of Backpropagation Algorithm for Handwriting Recognition
Authors: Farlinda Sustin , Yunus Muhammad , Pratama Mudafiq Riyan , Prakoso Bakhtiyar Hadi , Rahagiyanto Angga , Susilowati Dyah , Dasriani Ni Gusti Ayu , Hakim Lukmanul , Anam Khairil 
Published: February 2021

Abstract
Handwritten letter recognition is one form of pattern recognition. The introduction of letters looks simple to humans, but it becomes a tough task for computer programs to complete. In recognizing someone’s handwriting, a computer program trained first. This study discusses how a computer recognizes a digital image pattern in the form of handwritten letters using the backpropagation algorithm. The backpropagation algorithm used in making this system is backpropagation with momentum. The network architecture used consists of an input screen with 64 neurons, a hidden screen consisting of 46 neurons, and an output screen with five neurons. Before the recognition process, input image with image format (jpg) processed first, which includes scaling, grayscale, and binarization. The trial results show that the system can recognize handwriting with an accuracy of up to 65%.
The Mamdani Fuzzy Logic Engineering Analysis for Determining Weather Forecast
Authors: Harahap Aris Munandar , Suwilo Saib , Sembiring Rahmat Widia 
Published: February 2021

Abstract
Many people rely on life in the form of climate cycles, such as farmers, fishermen, traders, and so on. This resulted in the emergence of a lot of pressure from various groups of people who needed accurate information on climate information and created various ways to carry out weather forecasts. Weather forecasts are examples of problems that often have unclear or obscure answers. Fuzzy Logic is a technique to solve this problem, so the technique used is The Mamdani as its application in the weather forecast system. Analyzing the results of weather forecasts that occur in Indonesia requires a system to know the accuracy of the data generated, so it is necessary to create a system for forecasting weather based on parameters that are inputted using the Fuzzy The Mamdani technique so that weather forecasts can be more accurate and efficient. This study predicts the weather using fuzzy The Mamdani logic techniques using the Fuzzy and Matlab toolbox as a determinant of an estimate of the weather cycle that is prioritized to be determined, namely the degree of membership functions and the rules used. Fuzzy logic with The Mamdani technique is very good to use as a weather forecast because it has an accuracy level of above 60%. Therefore, the more variables that are used as input, the better (accurate) output will be.
Login Security Using One Time Password (OTP) Application with Encryption Algorithm Performance
Authors: Kurniawan Dwi Ely , Iqbal Mohd , Friadi John , Hidayat Fendi , Permatasari Ririt Dwiputri 
Published: February 2021

Abstract
During the Covid-19 pandemic, almost all jobs and activities to be limited, relying on the internet network. Data security in an internet network is most important and needs to be a concern for internet users. The internet network is a public network, which is vulnerable to security attacks. Attacks may occur to retrieve user data in the form of a username and password. This study conducts system design to improve the security of the username and password data when logging into web applications. Login using One-Time Password (OTP) verification by implementing the AES algorithm and Blowfish to encrypt the verification code. The verification code uses an SMS gateway. Testing is done by looking at security performances and comparing the performance of the Blowfish and AES algorithm. The results of the design research show that OTP is running well where the AES algorithm performance has advantages in terms of encryption and decryption speed compared to the Blowfish algorithm with a difference of ± 0.015 milliseconds for encryption and ± 0.04 milliseconds for decryption.
Image Processing Identifacation for Indonesian Cake Cuisine using CNN Classification Technique
Authors: Kurnia Dian Ade , Setiawan Andi , Amalia Dita Rizki , Arifin Rita Wahyuni , Setiyadi Didik 
Published: February 2021

Abstract
Indonesia is famous for its traditional food that is popular both domestically and abroad. A number of cakes are among the favorite traditional foods. There are types of cakes that can be processed in Indonesia, such as kue dadar gulung, kastangel, klepon, lapis, lumpur, putri salju, risoles and serabi. The most of types of cakes available, visually the human recognize are easy, however computer visiion requires a special technicality in identifying the object of the image to the type of cakes. Therefore, to recognize objects in the form of images from cakes as one of Indonesia’s traditional foods, deep learning algorithm techniques can be used, namely Convolutional Neural Network (CNN). In this paper, the CNN Algorithm technique will be applied to 1676 datasets consisting of 80% training data and 20% testing data in which there are images of traditional cakes from Indonesia. The stages are carried out through preprocessing, operational datasets, visualization datasets, modeling techniques, performance evaluations, errors analysis which finally result in the conclusion that performance evaluation reaches 65.00%.
Solar-Cell Implementation for Supporting Tourist Facilities and Tourism Promotion Media
Authors: Hendri H. , Awal H. , Mardison  
Published: February 2021

Abstract
Solar-Cell panels function is to capture the energy of sunlight and then convert it into electrical energy. In this tool, Solar-Cell panels can move according to the tilt of the sun’s direction of motion so that the captured sunlight can be maximized. The electrical energy is used for free tourist facilities such as lighting, internet wi-fi, charging electronic devices, CCTV, and LCD. This tool will be placed in one of the tourist attractions in the city of Padang. So far, based on observations, tourists do not like to linger in tourist attractions because of the lack of free facilities for tourists. They cannot charge their gadgets, cannot access free internet, feel unsafe because there are no CCTV cameras and no audio-visual media. The purpose of this tool is made to increase the number of tourist visits to tourist attractions in Padang so that it can increase the PAD of Padang.
Intermittent versus continuous social media exposure for energy consumption and human eye health
Authors: Suherman S , Siregar Yulianta , A-Khowarizmi  
Published: February 2021

Abstract
Social media has taken a lot from human life, not only time, activities, social approaches, finance and health. Social media absorbs battery the most among other applications. This is a result of overwhelming personal interest on social media content. In fact, continuous operation drains mobile battery faster, radiates continuous electromagnetic waves and emits heat to eyes. This paper shows that the intermittent exposure on using social media applications on mobile phone, not only conserves energy, but also reduces eye health risk. Since 3 ° C eye temperature rises may lead to eye cataract, eye temperature rise as result of electromagnetic radiation and heat light exposure should be as low as possible. Intermittent social media exposure results 3.1% lower energy consumption and 22.8% slower eye temperature rise.
The LCL filter design for three phase DC-AC voltage converter
Authors: Hasan S , Suherman  , Saragi D P , Siregar Y , Al-Akaidi M 
Published: February 2021

Abstract
This paper discusses LCL filter design to apply for a three phase DC-AC converter from a DC source of distributed generator to a three phase power system. System is transformer less, using H-bridge switching with 6 IGBTs, modelled by using PSIM to deliver 20 kW 400V source to a three phase 380 V 50 Hz system. the LCL filter requires inductors 518,564 μH and 311.13 μH, capacitor of 65.74μF. The loss resistance is 0.573 Ohm. The LCL filter is able to smooth DC-AC converter output starts from 0.005 s.
Video streaming application with post-decoding concealment technique
Authors: Suherman  , Al-Akaidi Marwan , Siregar Yulianta 
Published: February 2021

Abstract
WiMAX employes high speed wireless technology and enables high bit rates real time video streaming in wireless environment. Many researchers have proposed various techniques and methods to evaluate and improve video transmission over WiMAX. However, dropped packets seem always exist. This paper implements java based video streaming application over WiMAX network and examines whole frame post-decoding concealment method to reduce dropped packet effect. The result is that packet drop impact in frame can be reduced with PSNR improvement about x dB. However, as concealment performed after decoding, there is additional delay in displaying the image which causes short flicker.
Study the electrical, thermal behaviour of (glass/jute) fibre hybrid composite material
Authors: Hamdan Zahra K. , Ogaili Ahmed Ali Farhan , metteb Zaineb w. , Abdulla Fadhel Abbas 
Published: February 2021

Abstract
This study focused on the electrical and thermal properties of many natural composite material specimens. In this study, three kinds of composite materials were used epoxy, jute, and fibreglass. The first type was epoxy-strengthened glass fibre with volume fraction (50%), the second type of Hybrid natural jute, and glass fibre strengthened epoxy of (50%) thickness proportion (25%glass fibre + 25 %jute). Finally, the third type of natural fibre (jute) was strengthened with a volume fraction of epoxy (50%). This research was studied the thermal and electrical conductivity for three types of composite. Results revealed that the values of thermal conductivity and electrical conductivity for fibreglass/epoxy composite samples outweigh two other forms.
The Effect of River Meanders on River Morphology
Authors: Juliandar Mangambit , Nuryono Budi , Siahaan Yakub , Trimo Didik , Mahardika Andrew Ghea 
Published: February 2021

Abstract
Meander is a change in the flow of a river that forms a Semicircle or like the letter S whose fingers are irregular or irregular due to horizontal and centrifugal pressure. One of them that has a meander river is in citarum watershed, located in Majalaya Sub-district, Kab. Bandung. There is a change in the morphology of the river so that the geometry of the river changes from its original shape. The purpose and purpose of the Research to analyze the value of speed, meander fingers, and the morphological influence of rivers so that the problems that arise can be reduced and the benefits/potential possessed can be optimized. The research method used comparative causal methods (causal relationships). The results suggest meander river like the letter S is quite Ideal. Materials along the meander section contain clay, gravel, sand and macaques, clay stones and ash and black stones. Meander River with a length of ± 975 m is divided into five segments, namely. It was then concluded that V<, Q< → Rc > and V>, Q> → Rc < as well as morphological types A, E, G, F & DA.
Development of Automatic Oil Refueling System Model based on Internet of Things
Authors: Ramady Givy Devira , Lestari Ninik Sri , Mahardika Andrew Ghea , Fadriani Hetty , Santoso Purwadi Budi , Hidayat Rahmad 
Published: February 2021

Abstract
The current application of technology has played a large role in human activities, especially in industry. One of the technologies applied is an automatic filling and packaging system for cooking oil using a filling machine. The application of cooking oil packaging technology using modern machines is usually carried out in the large-scale cooking oil industry. However, the packaging for bulk cooking oil which is common in traditional markets that are classified as a small scale still uses the conventional method of measuring and packaging it. To improve the quality of bulk cooking oil sales and answer this problem, we need a tool that can fill the oil with an adjustable number of measures as needed and has high accuracy and can be run automatically. This research uses descriptive qualitative research methods, this type of qualitative descriptive research displays the results of the data as they are without any manipulation or other treatment processes. The overall results of the work system design of this tool discuss the results of the automatic oil filling system and the sending of oil expenditure data to the Antares ID webserver. The resulting delay value is still below the normal limit, which is around 1-2 seconds. The deviation that occurs is in the ratio 0.11 and the percent error is in the range of 0.2%.