bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of basil leaf ethanol extract in alginate base edible film
Authors: Giyatmi Giyatmi , Irianto Hari Eko , Anggoro Bintang , Nurhayati  , Fransiska Dina 
Published: June 2021

Abstract
Alginate is usually obtained by extracting from brown seaweed, mainly Sargassum sp which grows almost along the coasts of the islands in Indonesia. One of the efforts to utilize alginate was by employing as raw material in the production of edible film. The disadvantage of films made from carbohydrates is that they are not very good at regulating water vapor migration. One way to improve performance of edible film in inhibiting water vapor transmission is to add vegetable oil. In this study, the effect of adding basil leaf ethanol extract was observed to improve the performance of alginate-based edible film. Basil leaf extract was added at concentrations of 0.5%, 1% and 1.5%. The resulting edible films were observed for chemical characteristics (moisture content), physical characteristics (thickness, tensile strength, water vapor transmission rate, elongation, brightness, solubility) and antibacterial performance. The results showed that the concentration of basil leaf extract had a significant effect on moisture content, thickness, tensile strength, water vapor transmission rate (WVTR), and elongation values. Edible films do not have antibacterial activity against Staphylococcus aureus and Escherichia coli. The addition of basil leaf extract at a higher concentration resulted in an alginate-based edible film with lower moisture content, higher water solubility, higher thickness, higher tensile strength, lower WVTR, and lower elongation percentage.
Development of application Information System in Rhee District
Authors: Esabella Shinta , Intan Hikmawati , Hidayatullah Muhammad , Andriani Titi , Gunawan G 
Published: June 2021

AbstractManagement of patient data at the Technical Implementation Unit of the Community Health Center (UPT. Puskesmas) of Rhee Sumbawa District has not been fully computerized. The need for the development of an Information System to store medical records (history) of patient data. The research aims to develop information systems with descriptive research methods. For software development methods using Waterfall Models and built with Microsoft Visual Studio C# software and databases stored in Microsoft SQL Server software. Software testing uses Black Box Testing, which is testing software in functional terms. The results of research into digital data technology products that function to enter, change, delete data and minimize the time to find the data needed to improve the effectiveness and efficiency of data management.
Mobile Application Puzzle and Its’ Effect to the Learners Learning Outcomes in Earth Science
Authors: Gumbao Rizza S. 
Published: June 2021

Abstract
This study aimed to determine the performance, attitude and interactivity of Grade 11 High School learners in Earth Science before and after the Jigsaw Puzzle Mobile App when utilized as instructional material. This also gathered data on the effect of Jigsaw Puzzle Mobile App and reflections of the respondents. It was conducted at Fisheries and Marine Science High School, Iloilo State College of Fisheries Main Tiwi Campus from August to October 2018. Fifty-two (52) purposively chosen grade 11 learners were the respondents of the study. The quasi-experimental research design was used. Data were gathered using the test, guide questions, attitudinal and reflection. Data were analyzed using the mean and t-test. The result showed that there was an improvement in the performance of the learners as a whole based on their pre-test and post-test scores. The attitude of the learners before the conduct of the study as a whole, as to sex and as to track was “positive” respectively but after the study male and according to the track was “very positive” respectively while a female has “positive” attitude. The interactivity of the learners as a whole was “average”, according to sex and track respectively except STEM with “high interactivity”. There was a highly significant difference in the performance and the attitude of the learners before and after the jigsaw puzzle mobile app was introduced. The presence of the jigsaw puzzle mobile app in the classroom was found to be useful, enjoyable and challenging. This also let the learners develop their sense of deep concentration, critical thinking skills and psychomotor coordination.
Implementation Fuzzy Logic in System Design for Predicting the Production of Songkets in West Sumatera
Authors: Kartika Devia , Gema Rima Liana 
Published: June 2021

Abstract
Fuzzy logic is widely applied in various fields, such as industry, communications, etc. Fuzzy logic was developed to solve an obscure problem. The problem that arises in the production at UMKM Songket Silungkang and Songket Pandai Sikek at this time is that there is no system used as a reference in predict the amount of production that will come. Where this method can utilize demand and supply data in the past which is then processed with fuzzy stages so as to produce production figures. The government has prioritized the development of the Silungkang songket handicraft business, which is a regional specialty, in order to enter the export market. In the early stages, the priority of the regional government was to increase the production of craftsmen by facilitating coaching for micro, small and medium enterprises (MSMEs), especially those engaged in songket crafts, to continue to be developed by increasing quality and creativity. By applying the Fuzzy Inference System method in predicting the production of Songket Silungkang Kota Sawahlunto and Songket Pandai Sikek, Agam City can help several parties such as the government, micro, small and medium enterprises in making efforts to handle and make good decisions towards increasing the production of Songket UMKM in each region. and can provide a comparison of the predicted results of production for the coming period so that it can produce the optimal number of songket based on market demand.
Analysis of the effect of the lecturer satisfaction with the Naive Bayes Data Mining technique on institutional performance
Authors: Aisyah Siti , Marpaung Preddy , Aprinai Wiwin , Saharja Komda , Suryawan I Made Yuda , Nugroho Bekti Tufiq Ari , Nurbaedi Amin , Hasibuan Hasrul Azwar , Nadeak Bernadetha , Tohir Ahmad 
Published: June 2021

Abstract
The study aimed to analyze the effect on institutional performance of lecturer satisfaction with data extraction techniques. The solution is the technique of Naive Bayes, where data is obtained through interviews and questionnaires conducted in one of the private institutions in the north-sumatra of Medan. The evaluation criteria are readiness, compassion, reliability and accountability. The tests indicate that the level of accuracy is 85.48% with 81.08% precision, and 93.75% recall value. The Naïve Bayes method can also be recommended to predict the degree of satisfaction of the lecturer with institutional performance based on the results of tests using fast miner software.
Comparison of machine learning algorithms for chest X-ray image COVID-19 classification
Authors: Samsir Samsir , Sitorus Jimmi Hendrik P. , Zulkifli  , Ritonga Zuriani , Nasution Fitri Aini , Watrianthos Ronal 
Published: June 2021

Abstract
Artificial Intelligence and Machine Learning algorithms were used to identify the coronavirus (COVID-19) from X-ray photos of the chest. The authors propose a model for early coronavirus detection based on image filtering strategies and a hybrid feature selection model in this analysis. Traditional statistical and machine learning methods are used to derive these attributes from CT images. The Confusion Matrix for infected COVID-19 patients and regular patients was obtained using Support Vector Machine and K-Nearest Neighbor to classify the features chosen. The output of the two approaches can be compared. The various techniques’ performance shows that the Support Vector Machine achieves the highest precision of 97% compared to the K-Nearest Neighbor with a precision of 86%.
A Performance Comparison of RESTful Applications Implemented in Spring Boot Java and MS.NET Core
Authors: Dhalla Hardeep Kaur 
Published: June 2021

Abstract
RESTful is an emergent architectural style to develop web services/applications due to its lightweight nature. Though more and more organizations are adopting RESTful services, when it comes to choosing the right platform to implement one, teams usually gravitate towards reusing the existing skillset and prefer the platform that they currently support instead of looking for a better performing alternative. Considering that internal architecture and implementation of each platform can drastically affect its efficiency and performance, the objective of this research paper is to assess and compare the performance of RESTful web applications implemented in Spring Boot Java and MS.NET Core. An identical business use case to provide the basic four Create, Read, Update, and Delete (CRUD) operations was developed in both implementations. Apache JMeter 5.2.1, an automated performance testing tool is used in this experiment to create a swamp of concurrent virtual users to load both the applications at regular intervals. The comprehensive experimental results are presented at the end of the research paper.
Bibliometric Analysis on Governance Index Topics Using Scopus Database and Vosviewer
Authors: Nurdin Bartoven Vivit , Hutagalung Simon Sumanjoyo , Yulianto  , Kurniawan Robi Cahyadi , Hermawan Dedy 
Published: June 2021

Abstract
This article aims to re-identify government management performance appraisal indicators/index by highlighting publications in public libraries from years 2005 to 2020. The research used Scopus citation database over 15 years to collect articles. The keywords used in this study is “good governance” and “governance index” with english document filter. Simple statistical methods were used, and a bibliometric analysis was conducted using VOS-viewer software. This study visualized patterns of the co-occurrence of keywords, citations of documents, and primary keywords mapping. The study revealed trend in the analysis of governance measurement is increased significantly from 15 years ago. In the origin aspect of the country that conducts the publication dominated by developed countries and some of the developing countries. Based on the network visualization is seen a large cluster that hosts the concept of governance index known that the dominant economic aspect as the background of its presence, then there are also keywords related to the role of government and concepts in the organization. Many government performance index are conducted qualitatively or quantitatively, but no one has used the bibliometric method to re-identify the keywords that are consistent with the development of the concept of government performance itself.
Online Student Attendance System Using Android
Authors: Munthe Bangun , Herman  , Arifin Ardian , Nugroho Budi Sulistyo , Fitriani Elies 
Published: June 2021

Abstract
The purpose of this research is to design a database system implemented on an academic management android application that will be utilized to support the academic management information system for the advancement of institutions and education systems. The method in this study is to perform a design consisting of a proposed design to be implemented in applications such as online study materials, notifications, academic calendars and online reminder checks, online attendance records, performance records, and parent intimacy systems using Android applications. The system helps teachers to attend via smartphone and keep student records for their progressive assessments. The system provides prior intimacy to students as soon as their attendance is below the attendance threshold specified in the form of SMS. The result of this study is an android-based student attendance management application at an Educational institution.
Characteristic Parameters of Epoch Deep Learning to Predict Covid-19 Data in Indonesia
Authors: Hastomo Widi , Bayangkari Karno Adhitio Satyo , Kalbuana Nawang , Meiriki Andri , Sutarno  
Published: June 2021

Abstract
This study aims to predict Covid-19 data in Indonesia using LSTM machines learning and GRU using python. As a comparison, two datasets from other countries which have strong correlation were used. The dataset is of the ourworldindata.org page. The results of the LSTM model with epoch 15, RMSE 68,417 require rapid processing time and better accuracy than GRU with epoch 400, RMSE 90,173. The results from Covid-19 data processing in Indonesia have a robust correlation with Covid-19 data in Azerbaijan, Bangladesh, Bhutan, Cape Verde, Curacao, Slovenia, South Africa, and Thailand. The epoch characteristics of LSTM and GRU are a challenge since the amount of Covid-19 data is relatively minor.
Integration of AHP-MOORA Algorithm in Green Supplier Selection in the Indonesian Textile Industry
Authors: Utama Dana Marsetiya , Asrofi Mochammad Samsul , Amallynda Ikhlasul 
Published: June 2021

Abstract
In selecting suppliers, one approach that can be used to solve this problem is Multi-Criteria Decision Making (MCDM). MCDM involves several criteria with both quantitative and qualitative assessments. This research attempts to solve the Green Supplier Selection (GSS) problem by using the integration of Analytical Hierarchy Process (AHP) and Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA). AHP is used as the weighting of the GSS criteria and sub-criteria. Furthermore, MOORA is used to rank the best suppliers. This research was conducted in the textile industry in Indonesia. Eight criteria and 15 sub-criteria GSS are used to select eight suppliers. The results show that the product price has the most excellent weight in supplier selection. In addition, the AHP-MOORA method can be used in solving GSS problems.
Spatial Reasoning Profile of The Students with Good Number Sense Ability
Authors: Wulandari N P , Ekowati D W , Novitasari D , Hamdani D , Gunawan G 
Published: June 2021

Abstract
Mathematics teacher must have a good basic mathematics comprehension such as number sense and spatial reasoning before teach it to the students. Those ability will help a person to solve mathematical problems effectively. The aim of this study is to describe how number sense and spatial reasoning was used to solve mathematical problems. This research is a qualitative-descriptive research with 27 of second year pre-service mathematics teachers as a participant. Subject were selected using purposive sampling by conducting number sense ability test. The one with good number senses abilities were given advanced test related to spatial reasoning. The result of this research shows that pre-service mathematics teacher with good number sense ability can solve the given problems correctly. Subjects can flexibly conduct mental calculation, mathematical computation, and create various number representation accurately and are able to create efficient problem-solving strategy by combining mental rotation and spatial visualization within the process.
Conventional Switching to Drive A Brush DC Geared Servomotor
Authors: Syafruddin R , Anung  , Muntiyono  , Lestari Ninik Sri , Afiyah Salamatul , Hidayat Rahmad , Mahardika Andrew Ghea 
Published: June 2021

Abstract
Conventional switching can be used to drive a brush dc geared servomotor, in terms of adjusting the position to our liking. For brush geared dc servomotor drivers we use a switching bridge where each arm is used a power transistor, in the process of switching bridge need to be considered the area where the short circuit is likely to occur, to avoid it we use dead time, as well as the possibility of a short circuit due to the upper arm and the lower arm of the bridge turns on at the same time for that it is necessary to make a transistor-transistor logic circuit so that the upper arm will not turn on when the lower arm is on or vice versa. From the results of conventional switching, it is able to drive the DC brush geared servomotor to the desired position.
Development of a Cooling System Simulation Model using Thermoelectric Peltier based on Microcontroller
Authors: Ramady Givy Devira , Lestari Ninik Sri , Fadriani Hetty , Sufyani Rosyidin , Mahardika Andrew Ghea , Hidayat Rahmad , Hermawaty  
Published: June 2021

Abstract
The development of technology can be seen from the increasing number of industries that are standing and especially industries that produce air-conditioning machines such as Air Conditioner (AC), Air Cooler and Chiller. As the name implies, AC has a function to condition the air in a room so that it feels cool, comfortable, and healthy. In operation, AC requires electricity, and almost all of its main components require electricity so that the cost of using flow electricity is the benchmark in efforts to save energy. At the tool and system design stage, an overall tool design is carried out to form a miniature air-conditioning system using a Peltier Thermoelectric. The purpose of designing this tool is to produce a tool that functions to cool a room, so that the temperature in the room is cool and maintained, with the performance of Peltier TEC1-12706 and also heatsink as a channel for cold air through fans indoor and outdoor, and displaying temperature. In testing the system there is a slight difference from the measurements of the results with the component datasheet. On the results of the power test on the 12 V.10A adapter without load, the average output is 12.11 V, not pure at 12 V because the voltage displayed on the AVO meter has an average difference of 0.92%. Whereas in the measurement of power by load, that is, with an average load of 12.05V because the voltage displayed on the AVO meter has a difference and the voltage already has a load and has an average error of 0.41%. The existence of this error is because the current entering the adapter is also unstable.
Analysis on the Motorcycle-Exclusive Lane Implementation for the Urban Arterial Road in Banda Aceh City
Authors: Siregar A R V , Sugiarto S , Izziah  
Published: June 2021

Abstract
A motorcycle-exclusive lane was implemented since 2015 at busiest urban arterial road in the city center of Banda Aceh. However, this policy seen to be ineffective as indicated by the low obedience by the motorcycle users. This study was, therefore, conducted to analyze the determinant of the implementation of motorcycle-exclusive lane. This involved infrastructure observation and road user direct interview through questionnaires survey. Target respondent was motorcyclist who used motorcycle-exclusive lane within the study area. A total volume of these users was observed to be 364 vehicles/day and drawn the sample as much as 170 samples were selected for data analysis using the Principal Component Analysis (PCA). The PCA found that the main factors influencing the implementation of the motorcycle-exclusive lanes include the sign, lane support, motorbike, and speed factors with each having its significant explanatory level. Finding depict that greatest factor had 26.419% variant of Factor 1 with technical improvement delivers to aspect of motorcycle-exclusive lanes must have traffic signs showing the entry and exit locations of motorbikes, must have motorcycle-exclusive lanes with information prohibiting the motorbikes from stopping, and motorcycle-exclusive lane signs must install in the needed place and easily visible to users.
Monitoring System IoT-Broiler Chicken Cage Effectiveness of Seeing Reactions from Chickens
Authors: Nalendra Adimas Ketut , Priyawaspada Heri , Nur Fuad M. , Mujiono M. , Wahyudi Dona 
Published: June 2021

Abstract
Broilers are an excellent source of protein and are needed in the productive age population. From the central statistics data in 2019, the number of broiler populations in Indonesia reached 3.15 billion heads. To maximize production and reduce production efficiency, artificial intelligent application innovations are carried out for temperature, humidity, and gas control in broiler chicken coops. Internet of Things helps farmers make efficient use of human resources to adjust the temperature and humidity of the cage. The microcontroller’s primary device uses a wifi-embedded ESP32 to be able to transmit data to the server. To read the environmental conditions of the cell, use DHT11 for temperature and MQ2 for gas. The results of the system’s application were tested using two models, namely, testing the sensor reading value compared to the weight on the Thermo hygrometer and observation of the reaction of chickens in the cage. The test results were conducted by comparing the sensor’s value with Thermo hygrometer difference can be tolerated and normal chicken reaction because the temperature in the enclosure is well maintained.
Signal Processing of Filter Bank Multi Carrier for 5G
Authors: Hidayat Rahmad , Lestari Ninik Sri , Mahardika Andrew Ghea , Fadriani Hetty , Muntiyono  , Herawati  , Nuryono Budi 
Published: June 2021

Abstract
The spectrum efficiency in fourth-generation (4G) i.e. orthogonal frequency division multiplxing (OFDM) systems has become a major problem at this time due to the increasing need for communication bandwidth. This efficiency is reduced due to the high out-of-band emission (OoBE) that exist. As one of the candidates that still has the potential to be used in the fifth generation (5G) signal modulation method, this paper aims to make observations by out of band emission simulation on a multi carrier filter bank (FBMC). This paper illustrated facets of the 5G with FBMC modulation scheme. To illustrate it, 24 sub-carriers were simulated with each sub-carrier spaced 15 kHz, later the power spectral density of the FBMC signal is plotted. The MATLAB simulation results with the 256-QAM order indicated that FBMC is more advantageous than OFDM because it offers higher spectral efficiency with a difference of 130 dBW/Hz. In other words, this system offers low out of band emission. Previously, an illustration of the FBMC prototype was also shown.
Understanding Degradation Attack and TCP Performance in Next Generation Passive Optical Network
Authors: Atan F.M. , Zulkifli N. , Idrus S.M. , Ismail N.A. , Zin A.M. 
Published: June 2021

Abstract
The next-generation gigabit passive optical network (NG-PON) is a promising solution for network growth and expansion. The NG-PON aims to connect more users as fiber’s deployment to the home (FTTH) initiative takes place. The network needs urgent attention to its security establishment, which is currently exposed to a degradation attack. During the attack, already available TCP congestion control is invoked to handle collision. The interconnection of TCP in the transport layer and attack in the MAC layer is investigated. During the attack, a reduction of 63% of total throughput is detected. A variation of the number of ONU also determines the competing nature of TCP, which inherently reduces the maximum throughput of 4%.