bluuebunny/crossref_metadata_2025_split huggingface dataset:
IndoAcro: An Indonesian Acronym and Expansion Repository with Data Auto-Update Implementation
Authors: Abidin T F , Ferdhiana R , Iqbal M , Syaputra D , Putera T W A , Aksana M Z 
Published: July 2020

Abstract
IndoAcro is an Indonesian acronym and expansion repository created using machine learning and big data technology. The repository can be publicly accessed from www.indoacro.cs.unsyiah.ac.id. Six important steps of IndoAcro have been developed and implemented, which consists of (1) data crawling, (2) data cleaning, (3) generating candidate pairs of acronym and expansion, (4) generating numerical features, (5) classifying the candidate pairs, and (6) filtering the classification results. In this study, we introduce and analyze the implementation of data auto-update for IndoAcro. Since it was developed, IndoAcro has 2,232 pairs of acronym and expansion, collected from more than 50 thousand online news articles. Because no auto-update approach has been implemented previously, the number of acronym and expansion pairs in the database is monotonous, dull, and static. In this study, we introduce and analyze the implementation of data auto-update for IndoAcro. We have analyzed and evaluated the data auto-update process for 180 days, each process consists of 2 days interval. We found that the data auto-update approach has successfully implemented and updated the data for IndoAcro. We collected 1,639 pairs of acronym and expansion in the first run, 343 and 224 pairs in the second and third runs.
Analysis of The Application of Fuzzy Logic and Levenberg-Marquardt in The Calculation of Used Car Prices
Authors: Syahputra I , Zarlis M , Sutarman  
Published: July 2020

Abstract
In this study using two methods, namely Sugeno Fuzzy Logic and Levenberg-Marquartd methods. The data to be used is data from used Toyota Avanza cars for Medan and surrounding areas. The use of the fuzzy method in this study is based on its superiority in solving vague problems so that it is considered to be suitable for the condition of a used car in which each unit has different conditions. The results of the use of Sugeno fuzzy data obtained will be used as input into the levenberg-marquardt (LM) network which has a fairly good ability to perform calculations, especially to predict an output with a more efficient time. LM produces an output with a small Minimun Square Error (MSE) value of 3.64 in testing with 9 hidden layers. On the other hand, to analyze the resulting error, a comparison is made between networks that have 9 hidden layers, 27 hidden layers and 81 hidden layers with the smallest MSE results obtained on a network with 9 hidden layers.
The Accuracies of ANFIS and Genetic Algorithm with Tournament Selection on Classifying Hepatitis Data
Authors: Siahaan W FA , Sitompul O S , Situmorang Z 
Published: July 2020

Abstract
Classification is an important technique in data mining to create patterns and data modeling. Hepatitis is a disease that is dangerous to humans as this disease affects the human liver which is a vital organ. Early detection of hepatitis by diagnosing its occurrence on patients is needed to give them help, care, and treatment. Therefore, a classification technique is required to create patterns and models of data. To achieve accuracy in classifying hepatitis there would be requirements to separate relevant from irrelevant features. By only considering relevance features in classifying hepatitis, it is expected that the classification process will be faster, easier, and more accurate. In this research, the ANFIS algorithm and genetic algorithm are used in classifying the diagnosis of hepatitis based on a dataset from the UCI data mining repository. Results obtained showed that the genetic algorithm gave a slightly higher accuracy of 98.73% compared to 86.67% results obtained using ANFIS.
Classification of Zingiber Plants Based on Stomate Microscopic Images Using Probabilistic Neural Network (PNN) Algorithm
Authors: Andayani U , Sumantri I B , Arisandy B 
Published: July 2020

Abstract
Herbal plants are medicinal plants included in the first choice for medicinal ingredients for rural residents. Herbal plants such as ginger and lime are plants that are often used and have plants that are similar in level. One way to identify these types of plants is through stomata microscopic imagery. As for the inspection that is still done manually by the pharmacists, the manual inspection takes a long time and misidentification may occur because there are some similarities with direct viewing, so a method is needed to identify the types of herbal plants based on stomata microscopic images automatically and to improve accuracy in the identification process. The method proposed in this study is Probabilistic Neural Network for the identification of herbal plant types based on stomata microscopic images and the algorithm used to identify these plant types Probabilistic Neural Network (PNN). Before the identification stage, the image will go through three stages, namely preprocessing, segmentation and feature extraction using the Gray level co-occuration matrix method. After testing using 20 microscopic image data of ginger and bitter ginger stomata. It was concluded that the proposed method has the ability to identify types of herbal plants with an accuracy percentage of 90 %.
Application of Food Marketing Optimization using Analytical Hierarchy Process (AHP)
Authors: Setiadi T , Wasilah  , Tarmuji A , Fadlil A , Noviyanto F 
Published: July 2020

Abstract
At present, the agricultural commodity marketing system in Indonesia is detrimental to farmers. Due to the low selling price due to its dependence on intermediaries. That dependency indicates the difficulty of farmers to obtain data or information related to the market. But now, the government has provided data on the commodity market for the public interest. This research seeks to provide alternative solutions by providing web-based decision support applications that can help farmers get optimum marketing in selling their commodities. The price and market location dataset and market conditions obtain by synchronizing data services for the Food Security & Counseling Agency (BKKP) in Yogyakarta. Application of decision models using AHP produces the best marketing decision recommendations in the form of market location and price, based on the location of the farmer’s house and the condition of the commodity. System usability test results with 30 farmer respondents resulted in an average value of SUS 70.0, and SUPER-Q scored 79%. The application can be accepted by farmers to use.
Analysis Effect of Tournament Selection on Genetic Algorithm Performance in Traveling Salesman Problem (TSP)
Authors: Prayudani S , Hizriadi A , Nababan E B , Suwilo S 
Published: July 2020

Abstract
This study discusses effect of tournament selection on the way individuals compete on the performance of Genetic Algorithms so which one tournament selection is most suitable for the Traveling Salesman Problem (TSP). One algorithm in solving TSP is Genetic Algorithm, which has 3 (three) main operators, namely selection, crossover, and mutation. Selection is one of the main operators in the Genetic Algorithm, where select the best individuals who can survive (the shortest travel route). Tournament selection compares a number of individuals through a match to choose the best individual based on each fitness value, so that the winning individual (the individual going to the next generation) will be chosen. There is two way to compete in an individual in tournament selection is by tournament selection with replacement (TSWR) and without replacement (TSWOR). The final results of the study conducted TSWR gets the best fitness, even though the generation that gets the best fitness is reaching the maximum generation (takes longer to get the best fitness).
Synthesis of organic photoresist of Hibiscus tiliaceus L. flowers for patterning with X-Ray and UV exposure
Authors: Sutikno  , Defi E A 
Published: July 2020

Abstract
Photoresist is an essential chemical used in patterning the microelectronic devices. To ensure the sustainability of the supply of raw materials of microelectronics industry such as photoresist need to look for alternative materials that are more eco-friendly. This study used natural ingredients of Hibiscus tiliaceus L. flowers extract. The manufacture of photoresists carried in four stages, the manufacture of Hibiscus tiliaceus L. flowers extract, the manufacture of thin film Hibiscus tiliaceus L. flowers extract, the manufacture of resist and the manufacture of thin film photoresist. The manufacture of Hibiscus tiliaceus L. flowers extract is done with mass fraction variations using distillation methods. The optical properties of Hibiscus tiliaceus L. flowers extract was characterized using ocean optic Vis-NIR USB 4000. The functional group was characterized using the Perkin Elmer Frontier FT-IR, while the surface structure was characterized using the Digital CCD Microscope MS-804 Scopeman and the electrical properties were characterized using the Elkahfi 100 I-V Meter. The density of the resist is characterized by the mass per volume method. Thin film of photoresist is grown through the spin coating method with a voltage of 10 V for 60 s and heating to a temperature of 200°C for characterization of surface structures and optical properties. Photoresist is tested for sensitivity by giving exposure to UV and X-ray radiation sources to photoresist material. The resulting photoresist has a value of absorbance that is located in the wavelength range of 350 to 1050 nm with a maximum absorbance value of 0.07 to 0.3 at the wavelength of the g-line, h-line and i-line.
Learning outcomes of entropy concept in thermodynamics
Authors: Linuwih S , Rochmawati F , Fianti  
Published: July 2020

Abstract
A short semester was an optional semester for students and the duration was eight weeks including a final exam. This research was conducted to describe student learning outcomes about entropy in thermodynamics. The research was conducted in the thermodynamics class of Physics Department Universitas Negeri Semarang 2018/2019 which was taken by 16 students as the object of this research. The learning outcomes were analyzed from data taken from final exam scores. The data were analyzed by using descriptive qualitative analysis. Based on the result, the score (student learning outcome) was 8,8 on average from the maximum score was 16. It could be concluded that thermodynamics learning outcomes at a short semester program of the entropy concept were in fair category.
Used cooking oil catalytic cracking using Cr-charcoal ion-exchanged catalyst
Authors: Nazarudin  , Ulyarti  , Alfernando O , Fitri S 
Published: July 2020

AbstractUsed cooking oil is the largest waste that can be converted into biofuel as a renewable alternative energy source with catalytic cracking process. In this study, used cooking oil was cracked using a Cr-Carbon catalyst. The charcoal was produced from solid waste (shell) of oil palm industry. Three different chromium concentrations (1, 2, and 3%) were used for the ion-exchange process of Cr-charcoal to produce the catalyst. These catalysts were used for the catalytic cracking of used cooking oil at three levels of temperature (450, 500, and 550°C). X-ray diffraction (XRD) and scanning electron microscopy (SEM) analysis were used for catalyst characterization. SEM-energy dispersive X-ray spectroscopy (EDX) analysis indicates that Cr was successfully adsorbed into the catalyst. The highest oil fraction was obtained from catalytic cracking of used cooking oil at 450°C using Cr-charcoal catalyst synthesized using 1% Cr solution.
Profile of creative thinking abilities of students measured by multi representation-based creative thinking assessment
Authors: Ellianawati  , Mufiatunnikmah S , Setyaningsih N E , Subali B 
Published: July 2020

Abstract
This study aims to describe the profile of students’ creative thinking abilities. This research is a mixed study using the method of embedded experimental model. Quantitative data in the form of test results become the main data which is then triangulated with qualitative data from collected through classroom observation activities, asking students to fill out questionnaires, and conducting interviews. The subjects of this study are high school students who have studied the topic of linear motion. This topic was chosen because it has a characteristic that is the scope that can be presented with a variety of representations that can reveal students’ creative thinking abilities. The selected school is a state high school with accreditation A with the assumption that students have received education with national standards. This means that it can be a benchmark for the success of a learning program in training students’ creative thinking skills. Based on the results of data collection obtained information that the stimulation to encourage students to solve problems with a variety of display representation is still in the category of less creative. This is supported by field observation data that the one-way learning model, the conclusion of the questionnaire data confirmed from the results of the interview that students lack the opportunity to answer in creative ways.
Habits of mind potency of students of prospective biology teacher
Authors: Ariyati E , Susilo H , Suwono H , Rohman F 
Published: July 2020

Abstract
Habits of mind are a great attitude obtained by the discipline of mind training as habits in action. The action is the consequence of habits of mind that assort cognitive, affective, and psychomotor. Habits of mind are a new trend in education besides high order thinking skills. The purpose of this research is to discover the mind habits potential of Biology students in their first year of college. The method of this research was a survey that involved 67 Biology students in the first year of a university in Pontianak, Indonesia. The data collected by using a questionnaire that contained 44 questions about 16 indicators of mind habits by Costa and Kallick. The data analyzed by using descriptive methods. The findings show that the students’ mind habits are at a sufficient level, and there is no significant difference among 16 categories of habits of mind. Therefore, the freshmen of the Biology Department have good habits of mind potency with the highest percentage is flexibly thinking category (79,60), and the lowest is thinking and communicating with clarity and precision category (63,73). As a suggestion, students’ habits of mind as part of thinking skills need to improve through the learning process.
Mathematical literacy ability of the elementary school teacher education program of the students’ of Universitas Negeri Semarang
Authors: Nugraheni N , Sari EF 
Published: July 2020

Abstract
Mathematical literacy ability is the ability to formulate, apply and interpret mathematics in various contexts. This ability can help someone in applying mathematics to solve problems in daily life. This paper aimed to understand the mathematical literacy ability of the students of The Elementary School Teacher Education Program of Universitas Negeri Semarang. The data analysis was done by referring to the qualitative data model by Miles and Huberman. There are data reduction, data display, and conclusion/verification. The results are 75,57% of the students can formulate daily life problems into mathematical problems, 54,96% of the students have used logical reasoning, 36,64% of the students can draw a conclusion, 29,01% of the students can give an evaluation of the conclusions made.
Using open reasoned Three-tier Test to identify acid-base conceptual understanding of senior high school student
Authors: Susilaningsih E , Nuswowati M , Muttaqiin U F 
Published: July 2020

Abstract
Acid-base is one of the first abstract chemistry course that high school student encounter. Research shows that many students find difficulty on the definition, macroscopic and microscopic conceptual comprehend. This research has the aim to identify the student’s conceptual understanding in acid-base course. The subject for this research is 145 students from government school 2018/2019 school year. The data collected through 16 questions of the three-tier diagnostic test and questionnaire. Three validators validate the question with an average score of 159 from 176. The average score for the questionnaire is 39.75 with good category, and the Alpha Cronbach reliability is 0.714. Analysis of the result shows that the student has several difficulties with acid-base conceptual. Classical result for 145 students are 28% of the student understands the concept, 4% lack of conceptual understanding, 43% misconception and 21% don’t understand the concept of acid-base.
The compost tea on hydroponics system used to increase understanding of Sustainable Development for high school student in Adiwiyata program
Authors: Hartadiyati E , Wiyanto  , Rusilowati A 
Published: July 2020

Abstract
Compost tea is made from compost extracts that contain nutrients needed for plant growth and development. Hydroponics is a planting system that depends on the availability of organic nutrients in the planting medium so that it produces plants that are ready for consumption that are safe and nutritious. This is the basis for providing an understanding of Sustainable Development for high school students in the Adiwiyata program. Adiwiyata is a program that aims to create good conditions for schools to become a place for learning and awareness of school residents (teachers, students, and other workers), to encourage efforts to save the environment and Sustainable Development. The purpose of this study is to increase the understanding of Sustainable Development in high school students in the Adiwiyata program. This study uses one high schools in the Adiwiyata program. Before and after the activity of literacy a hydroponic system using compost tea for safe and nutritious food security and healthy environment, then students were given questions about Sustainable Development. The results showed an increase in understanding of Sustainable Development.
The effectiveness of instructional media based on lectora inspire towards student’s achievement
Authors: Saputro N V , Masturi  , Supriyadi  
Published: July 2020

Abstract
Physics is the most important branch of science, because it contains basic concepts that are also used in other branches of science. In this regard, students need to understand physics well. Instructional media is one way to simplify the process of teaching and learning physics as well as arouse students’ achievement. Instructional media has various forms, one of which is multimedia which is developed using information technology-based applications. Lectora Inspire is a multimedia development application that can be used by all groups. This research aims to find out the effectiveness of the instructional media based on Lectora Inspire on student’s achievement. The method used is a pre-experimental design consisting of four steps, namely identification of needs, design and development, expert validation, and implementation. The implementation is carried out using the one-group pretest-posttest method in the students of class X IPA-2 MA Al-Asror. The instructional media used has a material feasibility level of 84% so that it gets a very decent category, the level of media feasibility given by the media validator is 80% with a feasible category. The normality test from Shapiro-Wilk method shows that the data is stated to be normal, it means the statistic that suitable to test the data is parametric statistis. T-test paired sample as one of the parametric statistics is choosen to get the significance level from the experiment. The result proves that instructional media based on Lectora Inspire is effective to increase students’ achievement.
Constraints of Biology students’ thesis completion
Authors: Ridlo S , Wulandari R , Hadiyanti L N , Setiati N 
Published: July 2020

Abstract
Most students have some problems completing their studies on time. Based on the data of Biology Department of FMIPA UNNES, the average of students from 2012 to 2014 who graduated on time only 20.55%. This study would analyze the factors that become constraints in thesis completion. The research design is quantitative methods with ex-post facto strategies. The research sample is students of the Biology Department of the academic year 2012-2015 taken by simple random sampling technique. The data was collected by a questionnaire and processed using the path analysis by SMART PLS software version 2.0. It is found that motivation, administrative factors, and the guidance process contributed to the process of students’ thesis completion.
Student worksheets based on Science, Technology, Engineering and Mathematics (STEM) to facilitate the development of critical and creative thinking skills
Authors: Yulianti D , Wiyanto  , Rusilowati A , Nugroho S E 
Published: July 2020

Abstract
This study aims to describe STEM-based Student Worksheets, which facilitate the development of critical and creative thinking skills. Another aim is to test the level of readability, feasibility, and describe the improvement of critical and creative thinking skills after the Student Worksheet is applied. This research uses Research and Development (R&D) method as well as one-group pretest-posttest design. As research subjects were ten high schools in the city of Semarang. The results of the feasibility test indicate the criteria are suitable for learning by obtaining an average of 88.96% which means it is very feasible. In addition, the readability test showed that the worksheets were easily understood with an average of 91.66% and an analysis of improvement in critical and creative thinking skills was found to have high average criteria.
Physics experiment activities to stimulate interest in learning physics and reasoning in high school students
Authors: Nugroho S E , Waslam  
Published: July 2020

Abstract
Physics experiments are accompanied by questions that challenge students in learning the topic of the center of gravity which is intended as an alternative solution to foster student interest and reasoning. This research method is classroom action research. Learning is carried out in two cycles in two different identical classes each consisting of 36 students. The improvement in cycle-2 is based on the reflection of learning cycle-1, namely the revision of the use of terms in the student worksheet and the guidelines for carrying out experimental activities to be simpler and more efficient. The implementation in cycle 2 shows that there is no more input from students regarding the unclear work to be done. The results showed that students enjoyed learning (89% cycle-1; 94% cycle-2) and felt more understanding (78% cycle-1; 86% cycle-2), expressing the inspiration they obtained (56% cycle-1; 64% cycle-2). Students stated that they preferred to study the mechanism of physics rather than solving the problem using a formula (58% cycle-1; 94% cycle-2) because they thought it was more useful. The distribution of students’ reasoning scores is better than the ability to solve problems, especially students get a lot of difficulties at the problem identification stage.
The implementation of e-comic earth layer to enhance students’ self-directed learning
Authors: Taufiq M , Wijayanti A , Fajriah E 
Published: July 2020

Abstract
This study aims to analyze the effectiveness of learning media e-comic earth layer to enhance students’ self-directed learning. Method of the research refers to qualitative research approach through qualitative descriptive studies generally are characterized by simultaneous data collection and analysis. The average percentage of Students’ self-directed learning values during four times observations is 86.93% which means that the category is very good. It can be concluded that learning media e-comic earth layer effective to enhance students’ Self-Directed Learning (SDL).