Indonesia Conference Directory

Corresponding Author
Indah Sulistiyowati

Institutions
Faculty Engineering, Universitas Muhammadiyah Sidoarjo

Abstract
Current technological developments have shown rapid development. Various kinds of innovations have been created with various functions and benefits provided, for example the detection of automatic cigarette smoke. Detection of cigarette smoke is very necessary to increase the level of comfort, especially for those who are in a closed room. By implementing the internet of things system in detecting cigarette smoke, it will be easier to monitor and control it via a smartphone. In this system MQ-2 sensors are used to detect cigarette smoke in the room, NodemCu microcontroller as a processor of data received from the sensor, and the buzzer as an alarm also blynk application to display notifications if the room is detected by cigarette smoke.

Keywords
NodemCU, Internet of Things, Blynk, cigarette smoke

Topic
Electrical Engineering

Link: https://ifory.id/abstract/xpJa42qcYnef

Corresponding Author
Nailul Muna

Institutions
State Polytechnic of Malang, Soekarno-Hatta Street No. 9, Malang 65141, Indonesia

Abstract
Coin recognition system is a very important role in currency processing systems, which is aims to minimize human miscalculation and time to calculate coin values. Coin identifier and recognition to calculate the value of Indonesian coins based on android developer presented in this paper. There are two coin parameters used for coin recognition including radius and color of the coins. Circle Hough Transform (CHT) is used to calculate radius parameters, based on android developer and computer vision. After the radius value is obtained, the average RGB value of the coins is detected to determine the color parameters. By calculating the diameter and knowing the color, the coins can be recognized and the total value of the coins in the input image can be known. The experimental results show that the system has been obtained indicate that the system successfully recognizes coins based on determined algorithm. That is mean the application using computer vision can recognition coin and count the value of coins.

Keywords
Coin identifier and recognition, Circle Hough Transform (CHT), Calculate value

Topic
Computer Science

Link: https://ifory.id/abstract/tEjeAnrGL4Da

Corresponding Author
Widyanti Rahayu

Institutions
Universitas Negeri Jakarta

Abstract
Diabetes is a chronic disease caused by unhealthy habits and lifestyle. Diabetes is characterized by increasing blood sugar levels in the body. Someone who has a blood sugar level slightly above normal can-t be said as a person with diabetes, such conditions are called prediabetes. Classifying diabetes case accurately is an important thing because the occurence of complications and also can be obtained significant variables that affect changes in a persons blood sugar levels. One of the statistics methods which can analyze classification of disbetes case is using linear discriminant analysis. However, when no assumptions can be made about the distribution within each group, or when the distribution is assumed not to be multivariate normal, canonical discriminant analysis can be used to classification of diabetes. In this study we will compare the classification of diabetics using linear discriminant analysis and canonical discriminant analysis. From the results, it was found that the classification accuracy with canonical discriminant analysis was higher than linear discriminant analysis

Keywords
discriminant analysis, diabetes, classification accuracy

Topic
Mathematics

Link: https://ifory.id/abstract/3JeXNrpdRG9Y

Corresponding Author
Aldy Rialdy Atmadja

Institutions
1) Department of Informatics, UIN Sunan Gunung Djati Bandung
2) Telkom University

Abstract
Batik is a traditional cloth made by painting motifs with Indonesian culture nuance on a plain cloth. It has always been used by the people, from their birth until marriage, even someone who died using batik cloth as a cover. Batik cloth made with philosophy and symbolic meaning. Every region in Indonesia has a characteristic according to the circumstances and character of the man himself. There are three ways to make batik, such as using stamps, handmade, printing. Every type of batik has different types of patterns, and there is a repetition of a pattern and a combination of several patterns. Based on the type of batik, handmade batik has the highest price, and printing batik has the lowest prices. For batik lovers, handmade batik would want to have, but not everyone knows how to characterize the stamps batik and often mistaken in the detection of the type of batik. Thus, only a few people can distinguish the differences between the three types of batik. It is difficult for ordinary people to recognize a batik pattern. The purpose of this research is to create a prototype system that can detect the patterns of batik motifs created by handmade or stamps. Cosine similarity is used in this research to recognize the pattern and classified handmade or stamps batik.

Keywords
Batik, Handmade, Stamps, Pattern recognition, Cosine Similarity

Topic
Computer Science

Link: https://ifory.id/abstract/QzbGxY6jrEFt

Corresponding Author
Ade Sutedi

Institutions
Sekolah Tinggi Teknologi Garut

Abstract
Language is an element of culture in every nation. The contributions to maintaining this element are to be a good and consistent speaker in daily conversations. Along with the history of the Sundanese tradition, language has an important role to show the existence of Sundanese culture, especially in Banten and West Java. Today, the use of Sundanese language become less frequent due to a competition of regional languages with national languages even with foreign languages. This issue becomes popular in the last decade due to the death of a language issue. The existence of Sundanese language will reflect the strength of the mother tongue uses that becomes characteristic of a region culture, especially for Sundanese language. The objectives of this study are: (1) to classify the Sundanese and not Sundanese language that usually used in social media; (2) to analyze the sentiment of the vocabulary that used in Sundanese language. Classification process takes several types of words from Sundanese vocabulary which divided into three levels: Loma (Ribaldry level), Hormat ka sorangan (Standard level), and Hormat ka batur (Polite level). This process will evaluate the existence of Sundanese language used by users in social media. In this research, the data was taken randomly from Twitter users based on their area, especially in Banten and West Java Provinces.

Keywords
Classification, Sundanese, Death of Language, Social Media, Twitter.

Topic
Computer Science

Link: https://ifory.id/abstract/VG34FDbYd7Rz

Corresponding Author
RINI SETIATI

Institutions
Petroleum Engineering Departement , FTKE, Universitas Trisakti , Jakarta

Abstract
This field X well production has indeed occurred in the sand and this well has been carried out with waterflooding with injection water that is currently available. In this study of sand problems it is intended to find out the cause of the problem of sandiness in terms of laboratory analysis of formation rock samples and injection fluid. Laboratory analysis consists of fluid characterization, rock characterization that is specifically assigned to rock minerals (SEM and XRD), and fluid injection compatibility tests with rocks, then a sand retention test is performed. After the addition of clay stabilizer in injection water, Zone A, Zone B and Zone C have increased apparent permeability to reach an interval of 500% -1000% mD. The use of Zetpass cannot be used in zone A because there is a lot of clay and the grain is very fine, but it can be used in zones B and C. Fluid interactions with rock minerals and chemical interactions will reduce the cementation of rocks so that they can trigger the occurrence of sand. Clay stabilizer is important to note in wells that have done waterflooding. ZetPas solution is able to become sand control but has limitations.

Keywords
sand problem, clay stabilizer, zetpas, sand control

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/MPzcfa36LBGd

Corresponding Author
Irma Fitria Amalia

Institutions
1Department of physics education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
2Department of biology education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
3Department of physics, Institut Teknologi Bandung, Jl. Tamansari No.64, Kota Bandung 40116, Indonesia

Abstract
A cylinder milling has been modified by adding a heating controller for coating TIO2 photocatalyst on the surface of polymer at constant temperature. By testing the polystyrene, polypropylene, and linear-low-density polyethylene polymer density before and after coating, it is obtained that polypropylene polymer is suitable for polymer-coated TIO2 because the surface is transparent and can remain floating on the surface of water although it has been coated with TIO2 catalyst. Coating process of TIO2 nanoparticles on the surface of the polypropylene is performed through three stages, that is stirring while heating in the cylinder milling, washing, and drying. The coating temperature is 1100C for 90 minutes. Photocatalytic activity was observed by testing the photodegradation of methylene blue dissolved in water using a container with a surface area 750 cm2 and illuminated by sunlight for 12 days. The experiment was done at 6 containers with similar volume and area and variable amount of catalyst, which is without catalyst (0 g) to 5 layer of catalyst (550 g). From the colour, turbidity, and UV-Vis characterization, the methylene blue decomposition effectively occurred with amount of 220 g catalyst (2layer of catalyst).

Keywords
cylinder milling, TiO2, polypropylene, methylene blue, photodegradation

Topic
Physics

Link: https://ifory.id/abstract/4KQpmLfDycr8

Corresponding Author
Agus pratomo andi Widodo

Institutions
a)Department of Special Education, Indonesia University of Education
*andi.pkh.student[at]upi.edu
b)Department of Chemistry, Indonesia University of Education
c)Department of Special Education, Indonesia University of Education
d)Department of Special Education, Indonesia University of Education

Abstract
The aim of this study is to develop ways to teach heat transfer lessons to slow learner students. The study used a single-subject research approach with A-B design (baseline and intervention) in inclusive school in Banjarmasin. The subject of this study consisted of three slow learner students. Teaching demonstration methods with collaboration between special teachers and regular teachers are given as independent variables. The results of the study revealed that subjects that require cognitive understanding can be taught to slow learner students. However, the success achieved cannot be separated from collaboration between regular teachers and special teachers. Special teachers play a role in conveying instructions to be simple and concrete. A quiet learning atmosphere in the absence of other audio visual stimuli, besides experimental media that are taught, can make slow learner students more focused. The repetition factor of subject matter by special teachers during learning activities is very helpful because the characteristics of the slow learner are more likely to be short-term memories.

Keywords
slow learner, heat transfer, teaching, repetition, regular teacher, special teacher

Topic
Physics

Link: https://ifory.id/abstract/wGMHmyrY2qF4

Corresponding Author
Agus pratomo andi Widodo

Institutions
a) Department of Special Education, Indonesia University of Education
*andi.pkh.student[at]upi.edu
b) Department of Chemistry, Indonesia University of Education
c) Department of Special Education, Indonesia University of Education
d) Department of Special Education, Indonesia University of Education

Abstract
The aims of this study to find out how to teach the magnetic field materials to students with deaf and hard of hearing (DHH). The study used a single subject research approach with A-B design (baseline and intervention) in inclusive school in Banjarmasin. The subject of this study consisted of three students with DHH. The results of the study revealed that the magnetic field materials can be mastered by students with DHH. This success is due to the division of tasks or collaboration between special teachers and regular teachers. When the regular teacher explains with media, special teacher plays a role in translating to Sign Language. Not all instructions are translated but only instructions that difficult to understand because basically students with DHH can understand from writing and read the regular teachers-s lips movement. Another factor that shapes understanding of students with DHH are the students seating position. In appropriate position, students with DHH can see regular teacher-s face clearly and help them to read regular teachers-s lips movement. Essentially, students with DHH use their visual abilities to learn.

Keywords
students with deaf and hard of hearing (DHH), the magnetic field materials, collaboration, regular teachers, special teachers

Topic
Physics

Link: https://ifory.id/abstract/pbeLnAhRPkcZ

Corresponding Author
Robbi Rahim

Institutions
1. School of Computer and Communication Engineering, Universiti Malaysia Perlis, Arau, Malaysia
2. Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia
3. Indonesia Defense University, Indonesia

Abstract
Cryptography in various communications both online and offline is very necessary and generally cryptography is used to secure data in the form of text while non-text data requires special algorithms. Base64 is an encoding algorithm that can convert non-text data into binary data so that the data can be secured with cryptographic algorithms such as the GOST algorithm. The combination of the BASE64 and GOST algorithms is expected to be able to secure all types of data that exist and have the ease of returning to their original form without damaging the original data, besides this combination will increase data security because the combination of these two algorithms produces ciphertext that is difficult to know if the process is done cryptanalyst by third parties. The results of the combination of Base64 and GOST algorithms are expected to be able to deliver dynamic security contributions to various existing data objects so that they can be used both online and offline.

Keywords
Base64, Cryptography, Ciphertext, Encoding, GOST

Topic
Computer Science

Link: https://ifory.id/abstract/2vgRXc9BQqPE

Corresponding Author
Khaerul Manaf

Institutions
1,2)Department of Informatics, Faculty of Science and Technology State Islamic University Sunan Gunung Djati
3)Department of Information Communication Technologhy AEU, Malaysia
4)Department of Information System, Sangga Buana YPKP Unversity Bandung, Indonesia
5)Department of Information System, Informatics and Business Indonesia University
Bandung, Indonesia

Abstract
The 4.0 industrial revolution, on the one hand, will open opportunities for the domestic product market to compete internationally and vice versa. Business competition is so tight, the existence of free markets and advances in information technology, robotics, artificial intelligence, transportation, and communication are rapid, giving changes quick on the economy. The way to adapt to the outlook and the ability to project change in the environment and be able to determine the right strategy for this change is a must for organizations that are committed to survival as in Cooperatives in Indonesia. Regarding this problem, there are several e-readiness models that have been developed to test readiness or ability to provide platforms, comparisons, and estimates including TRAM (Technology Readiness and Acceptance Model) and several variables namely business content and institutional contexts that influence the model. The TRAM model is a combination of the TRI 2.0 (Technology Readiness Index 2.0) and TAM (Technology Acceptance Model) models. Each model developed has its own objectives intended to guide IT improvement efforts by providing benchmarks for the progress of comparison and evaluation, so it covers various aspects that can help organizations succeed in the readiness to implement IT.

Keywords
E-Readiness ,Cooperatives, TRAM, Business content, Institutional context ,TRI 2.0, TAM.

Topic
Computer Science

Link: https://ifory.id/abstract/dgMuj8kyr2Um

Corresponding Author
Cecep Nurul Alam

Institutions
Department of Informatic, UIN Sunan Gunung Djati Bandung, Indonesia

Abstract
This study explained how to combine the technology readiness and success model of information systems (IS) in the context of exploring the factors that influence the readiness and success of IS implementation performance. As explained by many studies of IS, that most IS research models are developed by adopting, combining, and adapting previous studies. The researchers developed this model based on the input-process-output logic and processional and causal models of the IS success model. The developed model was structured in twelve variables and 42 indicators. The path influences between variables were presented by 28 links. Researchers broke down the model to the level of the assessment instrument in relation to the implementation of the research. However, the model development study may have limited in the used assumptions and understanding of the researchers, the study may contribute theoretically in terms of new model propositions. In addition, the development of the proposed model and the instrument for data collection may be a practical consideration point for further study.

Keywords
Readiness and success model; model development; IS model; IS perfomance

Topic
Information Engineering

Link: https://ifory.id/abstract/6cVnX3ugvAG2

Corresponding Author
Mohamad Irfan

Institutions
Departement of Informatics Engineering UIN Sunan Gunung Djati Banfung,
Departement of Information System UIN Syarif Hidayatullah Jakarta

Abstract
Researchers often use interpretative data analysis to test questionnaires by confirming the results of statistical analysis, but the researchers did not elaborate comprehensively how confirmation was made. Most use statistical analysis techniques only to test and assess questionnaires. In addition, interpretive confirmation is common for experienced researchers when conducting research, in contrast to novice researchers who have problems confirming the interpretive results of the questionnaire. This study explains how to combine statistical and interpretative analysis with testing the IT implementation questionnaire on HEI. The aim is to assess the questionnaire using statistics and interpret the results of statistical analysis. This finding can help researchers to test questionnaires; confirmation results can be a consideration and knowledge to revise the questionnaire.

Keywords
IT Implementation Readiness; Statistical Analysis; Interpretative Analysis; Questionaire Assessment;

Topic
Information Engineering

Link: https://ifory.id/abstract/qcVJPfGx83FT

Corresponding Author
Edi Suryadi

Institutions
Departement of Office Management Education, Universitas Pendidikan Indonesia

Abstract
The modern university, among of them has the main characteristic of carrying capacity credible human resources component in its university-s Tridharma. UPI with sufficiently harmonious conditions in the management of several resources has certainly tried to establish itself as a modern university. The superior infrastucture tools will be support in every competition in the universities- tri dharma is the main resource of UPI. The results of all Instructure Roles have become inputs for the management of data and information that has migrated digitally. Therefore, communication management that contains the strategic policies of the university effectively and immediately can be translated and implemented by all the human resources. To conduct dissemination and sustainability both nationally and internationally, this research formulated 3 main components in the management of policy communication about infrastructure for modern university, which include: (a) architecture vision, (b) value change; (c) flow diagrams, all of which refer to the achievement of vision and mission.

Keywords
Communications; Infrastucture Tools; Policy Maker; Modern University

Topic
Information Engineering

Link: https://ifory.id/abstract/LRFEBqNWwZdK

Corresponding Author
Lilis Widaningsih

Institutions
Universitas Pendidikan Indonesia

Abstract
Architecture is not just about physical entities of buildings, it is also about the space of human life and all its activities. This paper is a lesson learned gathered from field experience in assisting rural communities in building physical facilities and initiating various community activities. The method used is Participatory Action Research (PAR) which is oriented to the needs of the community, the research is conducted in Cibeureum Wetan Village, Cimalaka District, Sumedang Regency. Mentoring begins with the planning process, design and construction of public spaces i.e. buildings for childrens learning activities, which gradually being developed into various community activities from all age groups, especially women and adolescents. The participatory concept developed shows an increase in types of activities, strengthening social capital, productive economic activities and the growth of collective awareness to optimize public space as a joint activity space. The value of architecture in a broader meaning is indicated by the positive connectivity between space and its users.

Keywords
Community Architecture, Public Space, Community Education

Topic
Architecture

Link: https://ifory.id/abstract/26VfU8KXpwGg

Corresponding Author
Asma Irma Setianingsih

Institutions
Departement of Geography Education, Faculty of Social Sciences Universitas Negeri Jakarta

Abstract
This study aims to analyze the participation of the community in lanslide risk reduction and to develop community-based landslide mitigation model in Karangkobar Village, Banjarnegara, Central Java. The method in this study is quantitative with a survey approach. The population in this study were 721 heads of households, and 88 people were taken by simple random sampling. The analysis technique is descriptive using frequency tables. The disaster mitigation model uses participation indicators and landslide mitigation standards from the National Disaster Management Agency. The results showed that as many as 87% of the people participated in mitigation planning, 85% of the community participated in the implementation and 93% of the community participated in the evaluation. Based on the measurement of the three indicators above, it can be concluded that the level of community participation in reducing the risk of landslides is quite high. The mitigation model carried out by the community were to form a disaster management working group which later developed into a community that was aware of the disaster and finally designated as a disaster response village. These group activities include installing landslides or warning signs, planting trees on slopes, caring for and monitoring landslides instruments and working with the Disaster Management Agency.

Keywords
Disaster, Community Participation, Landslides

Topic
Environmental Engineering

Link: https://ifory.id/abstract/VHWMgZaDRNjr

Corresponding Author
Reni Dwi Widyastuti

Institutions
a) Economic Faculty, Universitas Panca Bhakti Pontianak, Indonesia
Jl Kom Yos Sudarso, Pontianak, Indonesia
b*) Universitas Wijaya Kusuma Surabaya, Indonesia
Jln. Dukuh Kupang XXV/54 Surabaya

Abstract
The purpose of this research analyzed companys website and Corporate Social Responsibility (CSR) on Tax Aggressiveness. The method used quantitative research, the independent variables are the companys website (X1) and Corporate Social Responsibility (X2), the dependent variable is tax aggressiveness (Y). Data analysis used multiple regression. The results of this research of the regression equation are as follows Y = 0.053 + 0.113X1 + 0.253 + e with significance X1 = 0.073, X2 = 0.005, showed companys website and Corporate Social Responsibility significant on Tax Aggressiveness. The most spacious Corporate Social Responsibility by companies, and the supervision of taxes on the companys website can be used as a benchmark in tax supervision, and supported the society in paying taxes.

Keywords
Company Website, Corporate Social Responsibility, Tax Aggressiveness, Tax Supervision

Topic
Computer and Communication Engineering

Link: https://ifory.id/abstract/JcTM8rAXZqBy

Corresponding Author
LUSY MUHARLISIANI

Institutions
Universitas Wijaya Kusuma Surabaya, Indonesia
Jln. Dukuh Kupang XXV/54 Surabaya

Economic Faculty, Universitas Panca Bhakti Pontianak, Indonesia
Jl Kom Yos Sudarso, Pontianak, Indonesia

Abstract
The purpose of this research analyzed companys website and Corporate Social Responsibility (CSR) on Tax Aggressiveness. The method used quantitative research, the independent variables are the companys website (X1) and Corporate Social Responsibility (X2), the dependent variable is tax aggressiveness (Y). Data analysis used multiple regression. The results of this research of the regression equation are as follows Y = 0.053 + 0.113X1 + 0.253 + e with significance X1 = 0.073, X2 = 0.005, showed companys website and Corporate Social Responsibility significant on Tax Aggressiveness. The most spacious Corporate Social Responsibility by companies, and the supervision of taxes on the companys website can be used as a benchmark in tax supervision, and supported the society in paying taxes

Keywords
Company Website, Corporate Social Responsibility, Tax Aggressiveness, Tax Supervision,

Topic
Management Science

Link: https://ifory.id/abstract/dupTRyDEabz2

Corresponding Author
Wiyoga Baswardono

Institutions
a) Department of Informatics, Sekolah Tinggi Teknologi Garut, Jalan Mayor Syamsu 1, Garut, Indonesia
*wiyoga.b[at]sttgarut.ac.id
b) Department of Industrial Engineering, Sekolah Tinggi Teknologi Garut, Jalan Mayor Syamsu 1, Garut, Indonesia

Abstract
This article aims to a comparative analysis of decision tree algorithms between random forest and c45 for airlines customer satisfaction classification. The comparative study predicts both algorithms have better accuracy, precision, recall AUC (area under the curve) for analyzing data set of customer satisfaction on airlines, which are useful for later if have some same kind set of data set and problem. In this particular comparative analysis, first, need to select the dataset and transform so it can be used for data mining technique classification after choosing the algorithm to analyze the data set. The analyzing of the dataset it will through validation, testing and also result for each algorithm used. Then will compare the result from each algorithm, to determine which algorithm are best to use in this particular dataset or problem for customer satisfaction for airlines. The results of the comparative analysis are the best alternative algorithm choice for use in airline customer satisfaction classifications.

Keywords
comparative analysis; classification; algorithm; deccision tree; customer satisfaction

Topic
Computer Science

Link: https://ifory.id/abstract/UFQMX9HCEuzJ

Corresponding Author
Yulian Findawati

Institutions
Universitas Muhammadiyah Sidoarjo

Abstract
Weather forecast in an area is unpredictable. This is due to the fact that human factors cannot predict it. However, by presenting previous weather reports or data, science can be used as a reference to see weather forecast patterns . The weather forecast is by applying data mining using the algorithm Naive Bayes , K-nearest Neighbor (K-NN), and K-Means Clustering. Bayesian Classification is a statistical classification method that is useful for the process of determining the probability of a class membership. K-Nearest Neighbor Algorithm is a classification algorithm based on the similarity between one data and another data. K-Means clustering is an unsupervised learning algorithm that, as the name hints, finds a fixed number (k) of clusters in a set of data. Data used in the last 3 years (starting 2014-2017) which is daily weather data from the website of the Meteorology, Climatology and Geophysics Agency. Daily weather conditions consist of rainfall, irradiation, maximum temperature, minimum temperature, maximum humidity, minimum humidity, maximum air pressure, minimum air pressure, wind speed and wind direction. While the weather forecast label is not rainy, light rain, moderate rain, heavy rain and very heavy rain. Analysis using Rapid Miner tools

Keywords
Weather Forecast, Naïve Bayes, K-Nearest Neighbour, K-Means Clustering

Topic
Computer Science

Link: https://ifory.id/abstract/eMYzbBr8G6Lg

Corresponding Author
auliana farabbanie al arsy

Institutions
UNIVERSITAS KANJURUHAN MALANG

Abstract
The key to increasing MSME income is in the results of marketing. In the Millennium 4.0 era which removes the bulkhead place and distance makes it easier for consumers to get the desired item. for business people it is used as a means to bring consumers closer to the business they are engaged in. Various kinds of marketplace facilities have emerged and make it easier for MSMEs to sell their work. The same thing was done by the Government which represented the related office in an effort to help MSMEs in increasing income. Various efforts to produce events that boost the income of MSME entrepreneurs. The purpose of this comparison can be one of the considerations for business people in increasing profits from the business they do. The method used is a comparative study method that compares findings data in the field. Effectiveness and intensity is one of the important keys in increasing the turnover of small and medium entrepreneurs in gaining huge profits.

Keywords
Small Medium Enterprises, Marketplace,Government Policy

Topic
Management Science

Link: https://ifory.id/abstract/2bLVqhAJzEwM

Corresponding Author
Irfan Marwanza

Institutions
Trisakti University, Jakarta.

Abstract
In the calculation of coal resource estimation is generally done by a conventional and nonconventional method. This research uses a nonconventional method of Moving Windows Statistical (MWS) and Kriging, with 3 dimensions of calculation box area 100m x 100m, 200m x 200m, and 300m x 300m. which is processed using MWS and SGems software. The value to be gained is to compare the average yield of coal thickness with basic statistics, Inverse Distance Squared (IDS) and Kriging, and estimation of coal resources. By using MWS obtained an average value of coal thickness for area 100x100 equal to 6,40m, area 200x200 equal to 6,24m, and 300x300 equal to 6,03m. For the value of its ids in the area of 100x100 of 6.38m, 200x200 area of 6.16, and 300x300 of 5.94. As for the value of Kriging using Sgems with 100x100 area of 5.77m, 200x200 of 5.68m, and 300x300 area of 5.8m. For estimation of coal resource at area 100x100 equal to 943,480ton, area 200x200 equal to 526,460ton, and area 300x300 equal to 327,450 ton. In comparison, the average value of the average thickness by basic statistics, IDS¸, and Kriging on each area did not change significantly. But the value of the kriging method is the most accurate value because of the influence of spatial variation of data where one point with the other point influences each other.

Keywords
Geostatistics, moving windows statistical, kriging, coal, resources

Topic
Sample Topic

Link: https://ifory.id/abstract/t3CfGprFj8Ld

Corresponding Author
Undang Syaripudin

Institutions
UIN Sunan Gunung Djati Bandung

Abstract
The Big Five is one of the methods known in the world of psychology to interpret a persons personality, especially to find a relationship between personality and work environment. The Big Five consists of openness (O), conscientiousness (C), extraversion (E), agreeableness (A), and neuroticism (N). This study aims to predict the level of agreeableness in the classification of The Big Five. The method used in detecting this level of agreeableness is using the Certainty Factor and Naive Bayes algorithms. The results obtained in a comparison of the level of accuracy in personality prediction, the Certainty Factor algorithm get results of 80% and Naive Bayes get 90%. From these results it can be concluded that the Naive Bayes algorithm is better at predicting personality.

Keywords
The Big Five, Certainty Factor, Naive Bayes

Topic
Computer Science

Link: https://ifory.id/abstract/YBmgqbDpKFeX

Corresponding Author
Selly Anastassia Amellia Kharis

Institutions
a) Faculty of Mathematics and Science, Universitas Negeri Jakarta
Jalan Rawamangun Muka, Jakarta 13220, Indonesia
*sellyanas[at]yahoo.com

Abstract
The ability to understand mathematical concepts is one of the abilities needed by students in mathematics learning. This study aims to compare learning model between reciprocal teaching and problem posing for student mathematical understanding. This research was conducted at SMP 97 Jakarta in class VII on the subject of One Variable Linear Equations. The research method used quasi experiment. The sampling technique uses two stage sampling; purposive sampling and cluster random sampling. Based on the research data, the average value of understanding the mathematical concept of experimental class I (reciprocal teaching model) is 70.83 while the experimental class II (problem posing model) is 64.35. The normality test using the Liliefors. Homogeneity testing using Fishers test. The research hypothesis test uses t-test statistics and the value of t count = 2.153 and t table = 1.667. Because tcount> t table, then H0 is rejected at the significance level &

Keywords
Student Mathematical Understanding, Problem Posing, Reciprocal Teaching

Topic
Mathematics

Link: https://ifory.id/abstract/YM4nmuceyRHp

Corresponding Author
Saripudin Saripudin

Institutions
Universitas Pendidikan Indonesia

Abstract
Access to quality of education in the era of ICT technology is growing so rapidly, by utilizing this technology ideally it is not a problem, thus the presence of technology can be a problem solver that occurs such as inequality of quality education material and access to the intended materials, this is certainly a dream all parties because, in reality, all this is not an easy job. The biggest challenge in equalizing the quality of education is experienced by almost all countries in the world, especially countries with large territories and populations. Inequalities or gaps in differences and equal access to quality education material occur in almost every country in the world. Distance learning can be carried out easily by utilizing ICT infrastructure. Almost every country in the world strives to provide open wide access through the use of web-based applications to facilitate and facilitate the population of the needs of teaching materials according to the population. This article will discuss, analyze and explore the comparison of the accessibility of the Open Educational Resources (OER) repository in developed countries with developing countries.

Keywords
Open Educational Resources OER, Learning Resources, ICT, Vocational Education, Repository

Topic
Computer and Communication Engineering

Link: https://ifory.id/abstract/K3eDVZvYTA6M

Corresponding Author
Mohamad Irfan

Institutions
Departement of Informatics Engineering UIN Sunan Gunung Djati Bandung

Abstract
Data from the Central Bureau of Statistics of the population working in the agricultural sector continued to decline from 39.22 million in 2013 to 38.97 million in 2014, the number dropped back to 37.75 million in 2015. According to the MIT G-Lab Team (global entrepreneurship program) concludes five factors that make it difficult to raise agricultural productivity to compete in the domestic market, namely the low education of farmers in dealing with pests, the difficulty of access to finance for rural areas, lack of skills, lack of access to information and lack of application of agricultural technology. Chili plants are plants that are very susceptible to pests so BPS noted a decrease in chili production reaching 25%. Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. By using each training data and testing data as many as 30 data. The results of the study were conducted, based on the accuracy of SVM, which was 82.33% and C4.5 89.29 %%. The final result of this study was that the accuracy of the C4.5 method was better.

Keywords
Chili pest, algorithm, SVM, C4.5

Topic
Computer Science

Link: https://ifory.id/abstract/Fkw6DrZ3vh2P

Corresponding Author
Alimin Hamzah

Institutions
Universitas Pendidikan Indonesia

Abstract
The purpose of this study was to determine the differences in anxiety levels of soccer athletes at 3 soccer schools (SSB) in Makassar. This study is quantitative research, using a descriptive approach. This study tries to describe the comparison of anxiety levels in three SSBs. The instruments of data collection used in this study were observation, interviews, questionnaires and documentation. The data analysis technique used is the percentage technique using categorization of athletes anxiety level. The results of the study showed that there were differences in anxiety levels of athletes in three schools. SSB PERSIS athletes experience higher levels of anxiety compared to SSB Hasanuddin athletes. There were no significant differences in anxiety levels between athletes at the SSB PERSIS and SSB Ubhor. There is a difference in the level of anxiety between athletes at SSB Ubhor and SSB Hasanuddin. Athletes at the SSB Ubhor experience higher levels of anxiety compared to SSB Hasanuddin athletes. The findings of this study indicate that there are differences in athletes anxiety levels in the 3 SSBs, which indicate that there are differences in the performance of athletes from 3 SSBs. The athletes anxiety level can affect the athletes performance during the match.

Keywords
Athletes performance, Athletes Level of Anxiety, Quantitative Research, Soccer School

Topic
Sport Science and Technology

Link: https://ifory.id/abstract/eFukBR7CJGYa

Corresponding Author
RINI SETIATI

Institutions
Petroleum Engineering Departement , FTKE, Universitas Trisakti , Jakarta

Abstract
TJS reservoir is a gas reservoir located in the area of West Java. TJS reservoir has been producing since September 1999 until now, with a total production of 37115,774 MMscf. Based on the research, the TJS reservoir is dry gas reservoir reservoir with thrust in the form of a depletion drive. The purpose of calculating and evaluating of the ga initial in place of the TJS reservoir is to see the compatibility between empirical calculations and simulator calculations. This research method uses correlation data in the form of petrophysical data, PVT data, production history data and historical data on reservoir pressure. Determination of reservoir type is based on PVT data in the field using IPM PVTP software to analyze the type of reservoir. This software requires data on composition of natural gas composition, reservoir pressure and temperature. Determination of the Gas Initial In lace (GIIP) in the TJS reservoir using the material balance method based on analysis of pressure and production data, plots between P / Z to Gp. The results of the calculation of the initial TJS reservoir gas content using the material balance method obtained the initial gas content value of 50063.59 MMscf and based on the MBAL software analysis, the initial gas content value was 50661.3 MMscf. In this study, the determination of the amount of initial gas content (GIIP) in the TJS reservoir with the material balance method and analysis of the MBAL software has obtained the appropriate results.

Keywords
original gas in place, material balance, IPM MBAL, estimated ultimate recovery, remaining reserve

Topic
Material Engineering

Link: https://ifory.id/abstract/NnHj4L7vdxqB

Corresponding Author
Desmi Sartika

Institutions
Universitas Pendidikan Indonesia

Abstract
This study aims to determine the forms of training that have more influence on increasing limb muscle explosive power in students SMK N 5 Pekanbaru . This study compared 2 forms of plyometric exercise to improve explosive limb muscle power. The form of pliometric training given is box skip training and incremental vertical hop training. This type of research was experimental with a nonequivalent control group design giving two different groups of treatments for two to try to increase vertical jumps. Data collection techniques used the test method namely pretest and post test. The research instrument used to measure the height of the jumping vertical jump is to test using a tool called digital jump meter. The results of the study there is a significant comparison of the effect between box skip training and incremental vertical hop training on explosive limb muscle power. At an average increase of 5.7 in groups 1 and 6.3 in group 2. These findings indicate that there is an increase in the average incremental vertical hop exercise which is more influential and significant for explosive limb muscle power and can help students to be faster in increase limb explosive muscle power.

Keywords
Box Skip Exercises with Incremental Vertical Hop Exercises; Explosive Power of the leg muscles; Experimental Education; Sport Coaching Education

Topic
Sport Science and Technology

Link: https://ifory.id/abstract/4MBaWdQbLxPg

Corresponding Author
Diena Rauda Ramdania

Institutions
a,b,c) Department of Informatics, UIN Sunan Gunung Djati Bandung
d) Department of Mathematics, UIN Sunan Gunung Djati Bandung
Jl. A.H. Nasution No.105 Cibiru, Bandung, West Java, 40614, Indonesia

*diena.rauda[at]uinsgd.ac.id

Abstract
Making lecture schedules is a complicated matter because it involves many parties and resources. There are several aspects that must be considered in making the lecture schedule, such as: at one time a lecturer may only teach in 1 class, students may not be scheduled to study in 2 different subjects at the same time, the availability of teaching time for non-permanent lecturers, limitations room, and the weight of teaching time based on the credit. In order to arrange the schedule optimally, a method is needed that can produce the best optimization value. In this paper, we will discuss the comparison of Genetic Algorithms and Particle Swarm Optimization to design lecture schedules. The results showed that in the 25th iteration the Genetic algorithm succeeded in compiling a lecture schedule with the best fitness value of 0.021 and 9.36 second execution time compared to the PSO algorithm which produced a fitness value of 0.099 and execution time of 61.95 seconds in the same iteration.

Keywords
scheduling, scheduling system, genetic algorithms, particle swarm optimization (PSO) algorithms, optimization

Topic
Information Engineering

Link: https://ifory.id/abstract/KcrnJf8XzT3L