bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of MVC (Model-View-Controller) architecture in online submission and reporting process at official travel warrant information system based on web application
Authors: Subari A , Manan S , Ariyanto E 
Published: June 2021

Abstract
An official travel warrant (SPPD) is a type of assignment letter needed by an employee as evidence of an order from the manager in carrying out work assignments to other areas. At the end of the assignment, employees must make a report on the tasks assigned to their manager. In general, SPPD services are still carried out manually, both in the process of submission, approval, reporting and data storage. This manual service requires a long processing time, large resources and must be performed in rigid places and times. In addition, storing letters manually creates difficulties when retrieve data is required. This research aims to provide an online official travel warrant information system based on a web application. With web-based applications, information system services are faster and can be done anytime anywhere, not limited by time and place. The storage of letter data in the database concept also facilitates the retrieving process. The information system is designed to serve the complete service flow of official travel warrant starting from submission, approval to reporting. The design of the application system is carried out by PHP programming with the MVC (Model-View-Controller) concept using the Codeigniter framework. Data is stored on the MYSQL database. The design results are tested for functionality using the black-box method. From the test results, it was found that all the functions designed including submission, approval, reporting and retrieval of data could go well as expected. The assignment letter create by system and send to employee online. The task report can create online on the system. Approval of the task report is also carried out online in the designed information system.
An improved ranking method for fuzzy numbers using integral value of inverse function
Authors: Sam’an M , Farikhin  , Alamsyah  
Published: June 2021

Abstract
Ranking fuzzy numbers is very important decision making in process, procedure, analysis and application. In practice, many problems in real situation which need handling and evaluating for problems have fuzzy data, so that ranking fuzzy number can be used to make decision precisely. Vincent and Dat proposed an improved Liou and Wang’s approach for left, right, and total integral values of the fuzzy number. However, the improved by Vincent and Dat fails to rank trapezoidal fuzzy numbers having equal the compensation of areas. This paper proposes an improved ranking method to overcome shortcomings of Vincent and Dat’s ranking method. The improved ranking method for ranking trapezoid fuzzy numbers, presenting the left, right, and total integral values from inverse function of trapezoid fuzzy numbers. Finally, the comparative example is given here to illustrate the advantages of the improved ranking method for ranking trapezoid fuzzy numbers
High capacity image steganography using LSB with modified binary addition on RGB indicator
Authors: Irwanto A , Prasetiyo B 
Published: June 2021

Abstract
Steganography is the practice of hiding information in the code that makes up digital files and preventing unwanted people from knowing the existence of hidden information. High-capacity steganography techniques have been successfully performed using LSB with binary addition method, but the quality can be improved using LSB with modified binary addition. By using binary addition, message insertion can be done with two bits at once in one insertion process. For six examples of images, the message insertion process is carried out using the binary addition method and modified binary addition method with the use of 100% capacity or using all pixel values of the image. Then the SSIM, MSE, and PSNR values are calculated from each test result. This study shows that the modified binary addition method has better quality than the binary addition method. The test results show that the binary addition method produces average SSIM, MSE, and PSNR values respectively 0.971743, 9.711678, and 38.26588. Meanwhile, modified binary addition resulted in the values of 0.993287, 2.112745, and 44.88844. These results indicate that the modified binary addition method produces better quality than binary addition while maintaining high message capacity.
Handwritten character recognition using convolutional neural network
Authors: Khandokar I , Hasan M , Ernawan F , Islam S , Kabir M N 
Published: June 2021

Abstract
Handwritten character recognition (HCR) is the detection of characters from images, documents and other sources and changes them in machine-readable shape for further processing. The accurate recognition of intricate-shaped compound handwritten characters is still a great challenge. Recent advances in convolutional neural network (CNN) have made great progress in HCR by learning discriminatory characteristics from large amounts of raw data. In this paper, CNN is implemented to recognize the characters from a test dataset. The main focus of this work is to investigate CNN capability to recognize the characters from the image dataset and the accuracy of recognition with training and testing. CNN recognizes the characters by considering the forms and contrasting the features that differentiate among characters. Our CNN implementation is experimented with the dataset NIST to obtain the accuracy of handwritten characters. Test result provides that an accuracy of 92.91% accuracy is obtained on 200 images with a training set of 1000 images from NIST.
Evaluation of feature selection using information gain and gain ratio on bank marketing classification using naïve bayes
Authors: Prasetiyo B , Alamsyah  , Muslim M A , Baroroh N 
Published: June 2021

Abstract
One of the efforts of banks to do marketing is by telephone to offer their products, such as deposits. There are many variables that influence whether the customer decides to subscribe or not. In this study, we present a comparison of feature selection from high features dataset. We use a bank marketing dataset which has 20 features and consists of 4,119 instances. We consider 2 ranking methods entropy-based, namely Information Gain (IG) and Gain Ratio (GR). In our experiment, we classified the various selected based on the ranking of the selected features using Naïve Bayes. We show that the selection of different features is important for classification accuracy. The different combinations of feature selection can affect the accuracy results.
Land suitability analysis using geographic information system (GIS): a case study in Soppeng district
Authors: Wahyuddin S , Buchari H , Wahab I I , Rahmat Z , Fadli Z 
Published: June 2021

Abstract
The agricultural sector is a sector of the economy that is still the flagship in various regions in Indonesia, especially Soppeng regency. The area of Soppeng hills is approximately 800 km2 and is at an average altitude of 200 m above sea level, and has no coastal area. The utilization of Geographic Information Systems (GIS) promises resource management and modeling, especially quantitative models, to be more accessible and simpler. GIS is an efficient and effective way to know the characteristics of a region’s land and its development potential. Land suitability is the suitability of land for a particular purpose of use through the determination of land value (class) and land use patterns connected to the territory’s potential. It can be attempted more targeted land use along with its sustainability maintenance efforts. The spatial analysis involves modeling, testing, and interpreting model results to extract or form new information from a collection of geographic elements. This research will be carried out for 12 Months (1 year) through 4 stages. The research aims to identify land use’s suitability in the analysis of agricultural land suitability using geographical information systems in Soppeng regency area.
Sentiment analysis using lexicon-based method with naive bayes classifier algorithm on #newnormal hashtag in twitter
Authors: Mustofa R L , Prasetiyo B 
Published: June 2021

Abstract
Back In 2020, World Health Organization (WHO) has announced COVID-19 as a pandemic. From the many public responses, especially those on Twitter regarding the #newnormal campaign, a sentiment analysis process needs to be carried out to find out the perceptions that exist in society through social media. In this study, data were obtained through the crawling process on Twitter using the Twitter API. The method used in the sentiment analysis process is lexicon-based. The lexicon-based method works by labeling words containing sentiments based on a lexicon dictionary that already has weight on each word or doesn’t have weight on words in a lexicon dictionary. The classification results using lexicon-based are also used to make training data in the testing process using the naive Bayes classifier algorithm. In general, the research stages in this sentiment analysis include data crawling, text preprocessing, feature extractions, and the classification process. The sentiment analysis process results showed that the percentage of social media users on Twitter about #newnormal was 33.19% containing negative sentiments and 66.36% containing positive sentiments. Meanwhile, for testing the naive Bayes classifier algorithm in the sentiment analysis process got an accuracy of 79.72%.
Comparative study between KNN and maximum entropy classification in sentiment analysis of menstrual cup
Authors: Sugiharti E , Fauziah D 
Published: June 2021

Abstract
The rise of reuse, reduce, recycle movement impacts both in pollutants management and waste. Including menstrual waste by using the menstrual cup. However, the use of menstrual cups in Indonesia is not yet popular. Sentiment analysis is needed to see how the public thinks about the menstrual cup. Using 1108 data from Twitter, which was then labeled into positive and negative manually, the sentiment analysis stage was carried out using Maximum Entropy and K-Nearest Neighbor. These two were chosen because maximum entropy works by obtaining the best probability distribution, which closest to reality, and k-nearest neighbors work by classifying new objects based on attribute examples and training data. The implementation program uses PyCharm IDE and python programming language. From the research results, maximum entropy and k-nearest neighbors accuracy each are 84.6% and 83.7% with 1108 tweets. In the next research, a lexicon dictionary can be used to replace the manual labeling process.
Insecticidal effect from waste extract of two local spices plant on the rice weevil
Authors: Widiyaningrum P , Candrawati D 
Published: June 2021

AbstractIn an attempt to found natural and cheaper methods for the control of rice weevil, waste extract from two local spices plant were evaluated. Ethanol extracts (mix of leaf and stem parts) ofZingiber zerumbetandAmomum cardamomumwere tested on rice weevil for their insecticidal effect. The rice weevil was treated under four different exposure times (0, 1, 2, and 3 hours) and then maintained for 3 weeks in the rice storage. The difference in weight loss of rice (WL) was assumed as feed consumption, and it was an indicator of the insecticidal effect. Percentage of WL were analyzed using ANOVA. The results showed that exposure time was significant to WL on both extracts (LSD test; α < 0.05). The insecticidal effect with the lowest WL of rice occurred in a 3-hour treatment. The percentage WL inA. cardamomumis lower than those in theZ. Zerumbet.In conclusion, both plants’ waste extract decreased the feeding activity on the rice weevil, but the waste extract ofA. cardamomumis more effective thanZ. zerumbet.This study demonstrates that a waste extract of A. Cardamomum has potency as an insecticide for rice weefil, when appropriate formulation and application methods have been developed.
Immunohistochemical distribution of Immunoglobulin-A in relation to the intestinal microbiota of Cairina moschata (Muscovy) duck
Authors: Susanti R , Christijanti W , Yuniastuti A 
Published: June 2021

Abstract
The intestinal mucosal was a physical barrier of host defense against foreign pathogens. This research was conducted to elaborate the distribution of IgA and its relation to the abundance of muscovy duck intestinal microbes. Muscovy duck samples were obtained from local community farms in Gunungpati Subdistrict, Semarang City, which were maintained in the barn (non-cage). Each muscovy duck sample was slaughtered and dissected the chest cavity to the abdomen and then taken the intestinal organs. A total of 5g of intestinal contents was taken aseptically and used for NGS analysis. Furthermore, intestinal tissue was made into histology slides for immunohistochemical IgA analysis. The results of the immunohistochemical analysis showed that the IRS score of the small and large intestine were 4 (moderate). Muscovy duck in this study was healthy or normal, so the IRS score was in position 4 (moderate). Intestinal bacteria were dominated by Firmicutes phyla (48.71%), followed by Proteobacteria (32.87%) and Actinobacteria (8.32%). At the ordo level, bacterial composition was dominated by the ordo Enterobacteriales (32.08%), Clostridiales (21.04%), Bacillales (14.84%) and Lactobacillales (13.41%). In this intestinal muscovy duck, there was an equilibrium of microbiota components and there was no exogenous microorganisms that stimulate the overexpression of IgA production.
Effect of aeration on the growth and sporulation of Aspergillus niger in cassava stalks bioconversion
Authors: Dewi P , Indrati R , Millati R , Sardjono  
Published: June 2021

Abstract

Aspergillus niger is a mould which can be used in bioconversion of cassava stalks through solid-state fermentation. Mould is aerobic microorganism and require oxygen for their growth. Sufficient supply of oxygen by aeration will give better growth of mold, but excess of oxygen will act as a bad condition and encourage production of spores. Moulds at sporulation stage will not produced enzymes required for bioconversion of lignocellulosic material, for example cassava stalks. The aim of this study was to know effect of aeration on the growth and sporulation of Aspergillus niger in bioconversion of cassava stalks. Aspergillus niger FNCC 6114 were grown on media of cassava stalks powder moistened with water in 1:1 ratio, incubated inside of two kinds of incubators. The first, incubator of plastic box at 20 L capacities without aeration. The second, incubator equipped with aquarium aerator for force-aeration and IV needles for controlling the speed of aeration at 40 mL/min. Based on the result, it was shown that fermented media from aerated incubator were: higher glucosamine content, lower reducing sugar content, and higher spores quantity. These indicated that aeration at the speed of 40 mL/min will encourage growth and increase sporulation of Aspergillus niger FNCC 6114.
Effect of Gamma Co60-irradiated chitosan and vitamin E towards Pb acetate cytotoxicity on rat kidney
Authors: Marianti A , Christijanti W , Mursiti S 
Published: June 2021

Abstract
This research aims to assess the effectivity of the combination of Gamma Co60- irradiated chitosan and vitamin E towards cytotoxicity of rat kidney which is exposed to Pb acetate. All six research groups, except the control group, were induced with Pb acetate. Negative control was treated with Pb acetate. Treatment 1 group was only treated with irradiated chitosan at the dose of 150 kGy. Treatment groups were treated with the combination of irradiated chitosan and vitamin E at several doses of 1.44, 2.16, and 3.00 mg kg−10 BW for 40 days. On the 41st day, rats were terminated for renal tissue analysis. This research showed no pathological changes in the control and treatment 2 group. The group treated with only irradiated chitosan showed a minimum amount of damage. The group treated with a combination of irradiated chitosan and vitamin E on higher doses showed various pathological effects such as nephrosis necrotic nephrosis and interstitial nephritis. It was presumably affected by the prooxidant effect from abundant vitamin E content. In conclusion, the combination of Gamma Co60-irradiated chitosan and vitamin E at the right dose effectively protects Pb acetate-exposed rats’ renal tissue. Still, the higher dose of vitamin E will be ineffective.
Progressivity of TNF-α production and miR-29b-3p expression during hypercholesterolemia
Authors: Iswari R S , Dafip M , Kartika A I , Fitria M S 
Published: June 2021

Abstract
Hypercholesterolemia triggers atherosclerosis, characterized by releasing TNF-α and miR-29-3p that may be applicable for biomarker or therapeutic targets. This study was aimed to analyze the correlation between TNF-α production and miR-29b-3p expression during hypercholesterolemia progression. Total 12-male-Sprague Dawley rats weighted of 170-180 gr were randomly divided into normal control group and hypercholesterolemia (HC) group, equally. The Sprague Dawley (SD) rats were given only standard feed for seven weeks, combined with placebo for normal group and 2 ml of cholesterol/200 grBM/day, orally for hypercholesterolemia group. The miR-29b-3p expression analysis was performed by qRT-PCR and TNF-α using ELISA, by followed manufacture procedures. The miR-29b-3, then analyzed using Kruskal-Wallis analysis, whereas TNF-α was analysed using t-test. During, initial week, TNF-α was produced 5.19±0.20 pg/ml in the normal group and significantly different with HC group there was 4.43±0.32 pg/ml, then it significantly increases up to 6.12±0.21 pg/ml in the normal group and 14.10±0.33 in the HC group. Increased of miR-29b-3p expression was occurred in the normal group by from 1.33±0.24-fold change in 1st week to 2.55±0.08 fold change in 8th week, then 1.66x104±1.06x104 to 1.94x104±1.19x104 fold change in HC group.
Antibacterial activity of Microbispora rosea subsp. rosea SL3- 2-R-1 grown on different media and solidifying agents
Authors: Ningsih F , Sari D C A F , Yabe S , Yokota A , Oetari A , Sjamsuridzal W 
Published: June 2021

Abstract
The aim of this study was to examine the effect of different media and solidifying agents as growth media of a rare thermophilic actinobacterium, strain Microbispora rosea subsp. rosea SL3-2-R-1, on its antibacterial activity. To investigate the antibacterial potential, the strain was grown on four media, e.g., International Streptomyces Project (ISP) 1, ISP 2, ISP 3, and Bennett’s medium, solidified with agar and gellan gum, at 45 °C for 21-days. The antibacterial activity screening was performed using the agar plug diffusion method against four bacterial test strains (S. aureus, B. subtilis, K. rhizophila, and E. coli) grown on Mueller-Hinton agar, incubated at 30 °C for 17 h. The antibacterial activity was observed on strain grown on ISP 1 gellan gum, ISP 2 gellan gum, ISP 3 agar, ISP 3 gellan gum, and Bennett’s agar against B. subtilis. The strain grown on ISP 1 gellan gum, ISP 3 agar, and ISP 3 gellan gum inhibited the growth of K. rhizophila, while on ISP 1, gellan gum and ISP 3 agar were positive against S. aureus. However, on all media, the strain showed no inhibition against E. coli.
Species richness of spiders in the Kebun Wisata Pendidikan Universitas Negeri Semarang
Authors: Ngabekti S , Partaya  , Martin P , Solichin  , Nugroho B T 
Published: June 2021

AbstractThis study aims to explore the Species Richness Spiders (Arachnida) in the Kebun Wisata Pendidikan Universitas Negeri Semarang. Sampling was carried out by the roaming method, in June-July 2020 during the dry season. Spiders are collected using a pitfall trap (PFT) for spiders on the ground, and photographed for spiders that make their webs at a certain height. During sampling, the types of spiders were recorded, the number of individuals per species, the microhabitat of the spiders, with measurements of the abiotic conditions: temperature, humidity, light intensity. Data analyzed by using spider functional dendrogram and be collected regarding to the level of family, genus, and species. Quantitative data analysis includes analysis of Species Richness Index using the Margalef formulation. Species Diversity Index, using Shannon-Wiener. The results of the study concluded that: (1) there were 21 species of spiders caught on the ground, while others, 68 species, were found making nests in trees (2) The species richness of the spider in the UNNES KWP was moderate to high. Meanwhile, diversity index value of spider was high. (3) effort in species richness conservation of spider could be done in their natural habitat, also by adding various kinds of fruit plants to invite insects and spiders to come will effect on increasing species richness.
Evaluation of Mycobacterium tuberculosis ripA gene to detect antibiotic resistance
Authors: Koentjoro M P , Rahayu D S , Donastin A , Prasetyo E N 
Published: June 2021

AbstractMycobacterium tuberculosisinfection has remained a public health threat in Indonesia. This infection is complicated by the antibiotic-resistant ofM. tuberculosisstrains. The common essential in resistance comes from a mutation in genomic DNA. ripA gene is one of the regions critical in the replication and persistence ofM. tuberculosisin their resistance. This gene has responsible for cell wall polymer peptidoglycan. The objective of this research was to evaluate the ripA gene in antibiotic resistance. This is to investigate and compare the ripA gene sequences ofM. tuberculosisat an unprecedented rate. A total of five specimens ofM. tuberculosiswere isolated from tuberculosis patients with rifampicin resistance. The ripA gene fromM. tuberculosiswas isolated and amplified using a design primer for ripA N-terminal domain of peptidoglycan hydrolase. Further, ripA gene was analyzed using the Sanger method sequencing. The data were analyzed and compared usingM. tuberculosisH37Rv from the National Center for Biotechnology Information (NCBI). In addition, the sequence was analyzed with multiple sequence alignment (Clustal IW) to identify the mutation. Our result suggests that the evaluation of genes in M. tuberculosis isolates revealed sequence variation in ripA regions (Ala701Gly). Understanding these mutations implies an evaluation of antibiotic-resistant. Furthermore, this information implies local diagnostic and treatment guidelines to cell-wall targeting antibiotics.