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The inflation rate, particularly in South Sulawesi Province from year to year, is found to be very unstable, so that an effort to overcome the instability of the inflation rate is highly needed. One of the efforts that can be used is to carry out a process of forecasting the inflation rate, so that the government can predict the inflation rate properly in order to realize the sustainable economic growth. The aim of this study was to forecast Inflation Cases in South Sulawesi Province. The forecasting carried out in this study used the Exponential Smoothing method. Exponential Smoothing is a method that will take into account average (smoothing) the data of the past exponentially by repeating calculations continuously using the latest data. In this study, 2 Exponential Smoothing methods were compared, namely: Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES) which were used to obtain prediction results and evaluate the results of predictions using the Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) methods. The smallest MAPE value was obtained when using the Single Exponential Smoothing (SES) method when the value ɑ = 0.1 with the MSE value of 0.5567 and MAPE value of 265.7126 and the Double Exponential Smoothing (DES) method when the value ɑ = 0.3 and with the MSE value of 4,256 and MAPE value of 574,519. Thus, the Single Exponential Smoothing (SES) method was regarded as the best method in predicting the inflation rate in South Sulawesi Province.

This article reports on research that is aimed at developing and producing a self-learning model based on open-ended questions or the PMBST (accronym form Indonesian) model to increase students’ creativity in a calculus subject. The main product generated is a book on the PMBST model. It consists of: a) introduction; b) theoretical rationality; c) empirical rationality; d) supporting theories; e) components of the model; f) instructions for the model; and g) bibliography. Furthermore, to assess the quality of this model, the authors used product quality assessment criteria created by Nieveen, which covers hypothetical validity and practicality. The instrument, which is developed for supporting the PMBST model development cover: an assessment sheet of the PMBST model, and a validation format of the PMBST model assessment sheet. The subjects of the PMBST model in this research are Master’s programme students in the Mathematics Department at Universitas Negeri Makassar who have finished or are learning the calculus subject. The result of this research is the PMBST model developed with high theoretical rationality as indicated by experts’ assessments.

The purpose of this study was to develop Android-based teaching materials, which have qualities (valid, practical and effective) that can help to improve the quality of student learning outcomes and to motivate students to learn. The process of developing this material used the Plomp development model, which consists of a preliminary investigation phase, a design phase, a realisation/construction phase, a test, evaluation and revision phase and an implementation phase. To assess the quality of the learning device, the validity of the validator of experts was, then, tested in order to ensure that the teaching material is valid, practical and effective.

α-Sutte Indicator (α-Sutte) was originally from the development of Sutte Indicator. Sutte Indicator can be used to predict the movement of stocks. As the development of science, Sutte Indicator is developed to predict not only the movement of stocks but also able to forecast the data on finance, insurance, and time series data. This method is called α-Sutte Indicator (α-Sutte). α-Sutte was developed by using the principle of the forecasting method of using the previous data. α-Sutte choose because it have best accuracy in forecasting. To implementation and check the accuracy of this method, the Consumer Price Index and Indices by Regions (Turkey) data used in this research. Data taken from January 2003 to June 2017. This data used because CPI data unstable and sometimes difficult to predict using other method. The data is divided into two parts, namely data training and testing. Data training starts from January 2003 to October 2016, and data testing starts from November 2016 to June 2017. To see the accuracy of α-Sutte, benchmark will be conducted from the results of forecasting with other forecasting methods e.g. Multiplicative Holt-Winters, Additive Holt-Winters, and Automatic Time Series Forecasting: The forecast Package for R (AutoARIMA) developed by Hyndman-Khandakar (2008) for the ARIMA/SARIMA model. The comparison of this accuracy is to compare the value of MSE, RMSE, and MAPE of forecasting the result on data training by using the data as reference data. The results are obtained that MSE value of Indicator of α-Sutte is smaller than other methods that is Multiplicative Holt-Winters, Holt-Winters Additive, and ARIMA (1,2,2)(0,0,2)12. Thereby the case for MAPE accuracy value Indicator of α-Sutte better than others method: Multiplicative Holt-Winters, Holt-Winters Additive, and ARIMA (1,2,2)(0,0,2)12.

Decision Support System is a system commonly used to assist management in assisting decision-making in top managerial sections, Multi-Criteria Decision Making (MCDM) is one of many decision-making methods that can be used to select the best alternative from a number of alternatives based on certain criteria, one of the methods that can be utilized is the Elimination Et Choix Traduisant la Realite (ELECTRE) method that works based on the concept of outranking using pairwise comparisons of each alternative based on appropriate criteria, this paper applies the ELECTRE method in a web based application that can be employed for input and output dynamic for alternative, criteria, user values and also a fast ranking process, the choice of web based application because there is many research about decision support system but only few that applied to application, and this research tries to applied ELECTRE method to web based application.

Electronic learning based on Information and Communication Technology is one of the backbone behind the success of distance learning because it is actually able to save cost, time, and resources. To optimize the quality of this learning, more variety and interactive content with the support of multimedia elements (such as text, images, animations, sounds and video) is required. This research proposes a design of web-based lightweight interactive multimedia application combined with a game approach to support distance learning. This design employs web technologies based on pure HTML5, CSS3, and AJAX scripting that offer rich interactivity and lightweight performance. This research produces an interesting and fun learning application design that able to motivate students to self-learning.

Keeping the data intact without changing becomes an important factor in a communication, the data itself has many forms such as text data, audio data, image data and for secure every form data an algorithm Base64 are needed, Base64 algorithm is used as data format to transmit data due to the result of base64 itself, but Base64 algorithm is not safe enough because it is easy to decoding and get the original form data, therefore need additional security and in this research combined with Hashing Variable Length (HAVAL) algorithm, HAVAL algorithm has a way work secures and compresses plaintext, so the encoding result from Base64 is re-secured and compressed using HAVAL algorithm with length of hashing 32 bit or 4 bytes so when data transmission process will not take many bytes of data compared with Base64 algorithm

The Consumer Price Index is an index which calculates the average change in prices over a period, of a set of goods and services consumed by the population/households within a specific time. In this paper will be discussed about the forecasting of consumer price index of Indonesia using forecast package with R Software. The forecasting process this data using algorithms popularized by Rob J. Hyndman and Yeasmin Khandakar in 2008. By using this method, it is obtained a suitable ARIMA model to forecast CPI data Indonesia. The model most suitable time series is ARIMA (1,0,0).

Decision Support System is a system commonly used to assist management in assisting decision-making in top managerial sections, Multi-Criteria Decision Making (MCDM) is one of many decision-making methods that can be used to select the best alternative from a number of alternatives based on certain criteria, one of the methods that can be utilized is the Elimination Et Choix Traduisant la Realite (ELECTRE) method that works based on the concept of outranking using pairwise comparisons of each alternative based on appropriate criteria, this paper applies the ELECTRE method in a web based application that can be employed for input and output dynamic for alternative, criteria, user values and also a fast ranking process, the choice of web based application because there is many research about decision support system but only few that applied to application, and this research tries to applied ELECTRE method to web based application.

The purpose of this study is to apply the α-Sutte Indicator in forecasting data. α-Sutte Indicator is a new forecasting method that was developed in 2017 by Ansari Saleh Ahmar. To see the accuracy of these methods, the forecasting results of the α-Sutte Indicator will be forecasting methods compared to other items, namely: ARIMA and HoltWinters. Based on the results of forecasting, it is found that α-Sutte Indicator has MSE and MAPE values that are lower than other methods (ARIMA and HoltWinters). This is supported by MSE data from α-Sutte Indicator smaller than ARIMA(2,2,2) and HoltWinters i.e. 0.03; 3.06; and 3.15.

In this research stand-alone data logger device that can be used for measuring solar panel power characteristics is introduced. With RTC and SD Card installed on the device, the energy produced by solar panel is measured, then data are stored in CSV format that is compatible with MS Excel. Stand-alone feature makes it suitable for monitoring solar panel systems installed on remote area. Research result exhibits that all device sub systems are working perfectly. Voltage sensor convert the output voltage range of solar panel 0-24V to suitable voltage for microcontroller 0-5V. Real Time Clock (RTC) is able to show real time hours, minute and seconds of every measurements. Current sensor could measure the current with similar result compared to standard lab instruments. Despite data stored to SD Card, a 16&2 LCD display real time measurement results. Overall, the device works very well as if standard data logger instrument, but featuring real time monitoring and computer compatibility data.

Security in a transaction activity is crucial, in digital communication that irresponsible parties can tap all objects sent in the form of bits, the use of cryptographic algorithms such as Base64 and Word Auto Key Encryption can be a solution that produces a secure ciphertext, base64 algorithm which can encode all objects such as text, image, and audio files into text form and the result is re-secured with Word Auto Key Encryption algorithm, the results of this research get better security by combining the two algorithms.

K-Means Clustering (KMC) is a technique used in performing data groupings. The data classification procedure is based on the degree of membership of each member. The purpose of this study is to group the existing Provinces in Indonesia based on Population Density, School Participation Rate, Human Development Index, and Open Unemployment Rate using K-Means Clustering. The result reveals 5 large clusters in each center in South Sumatra, Lampung, DKI Jakarta, Central Java, and West Kalimantan.

This study aims to examine the effectiveness of law enforcement on the protection of children victims of cybercrime in Indonesia. The method used is empirical legal research, which examines the law on social phenomena. The collecting data were from primary and secondary data. The primary data was based on the related institutions in handling child victims of cybercrime, and secondary data were collected through questionnaires administered to 4 (Four) selected Provinces samples. The results showed that the form of cybercrime experienced by the child as a victim dramatically increases every year and still seems to be weak in law enforcement. Public response to law enforcement from the aspects of law Substance, law enforcement, infrastructure facilities, inter-agency coordination is ineffective, and public responses to the handling of victims of cybercrime must be quickly addressed. This is a form of state responsibility for the protection of children victims of cybercrime. Thus, children can live and grow up to avoid the crimes that occur through the cyber development.

Cryptography is a field of science that can be learned to secure data and information, cryptography is used in almost all communications both in network and non-network; and one of the algorithms could use is RC4 algorithm, publication about RC4 algorithm is quite a lot but the discussion is dominant only theory alone does not complete the RC4 algorithm process in detail and applications only show input and output none of the processes include, in this research paper illustrates the process of RC4 algorithm in detail and with visualization to demonstrates the work of RC4 algorithm to make it easiest for readers to learn cryptography

Developing country mostly left behind in adopting e-Government system. Miss-interpretation is assuming e-Government only about the application of technology made fail implementation. It is a whole philosophy that explores a human-citizen centered aspect in organized societies. Further, successful information system determined by user acceptance. Therefore, the evaluation of the performance of e-Government is one of the basic objectives of current government reformation. The research focus is to identify and explore the extent of user acceptance toward e-Government system. The research methodology used in this research is survey based on a questionnaire with TRAM approach and distributed to 230 respondents as customers that had been using e-Government services provided by X institution. The result of the study showed that the personality traits of TR significantly influenced cognitive dimensions of TAM. Through empirical demonstrations indicated that the TRI was said to be antecedents to TAM. The optimism dimension had higher coefficient among others, exhibit the technology users convince that the new technology will improve their productivity, while discomfort had no impact since the users have no doubt or hesitate to use technology.

Material waste is a term from the amount of waste material percentage and is one of the serious problems in the implementation of road construction project. The research objective is to calculate the average percentage of waste material in road construction projects and obtain waste material influencing profit and make a regression model of % material waste to % profit contractors. The data obtained are 158 projects in East and North Kalimantan divided into 51 road building projects and 107 road improvement projects. The percentage of waste material on road building project is B aggregate as the largest (26%) and ready mix concrete (5.3%) as the smallest. The percentage of waste material on road improvement project is B aggregate as the largest (24.2%) and ready mix concrete (6.14%) as the smallest. The influencing waste material on the road construction project is B aggregate, lean concrete and ready mix concrete with regression equation to determine the estimated % profit contractor as a function of % material waste is Y = 7.363 -0.032 X3 - 0.078 X4 - 0.066 X6. The influenced waste material on road improvement projects are cement, B aggregate, and Land Fill with the regression equation to determine the estimated % profit of contractor as a function of % material waste is Y = 8,702- 0,037 X4- 0,054 X5- 0,044 X7.

PD Pasar Jaya manages 153 markets spread across Jakarta. Market building is a place of public services, in order to provide excellent service to the community, it is important to maintain it properly. Maintenance management of PD Pasar Jaya is still far from the expected. The purpose of this study was to determine the effect of directly and indirectly from the condition of the building and maintenance resources to user satisfaction through maintenance management. The research method is by taking a sample of 14 buildings market, then use the check list building condition assessment visually and dissemination of survey questionnaires to 216 respondents, namely the market manager, the kiosk, and visitors. The questionnaire consisted of four variables: the condition of the building (X1), maintenance resources (X2), as an variable, independent maintenance management (Y) as variable, an intervening while user satisfaction (Z) as the dependent variable. Furthermore, assessment data is processed by the descriptive analysis of the building, while the questionnaire survey data processed by path analysis using linear regression with SPSS ver. 22. The results of assessment of 14 buildings is a market average of 78 of the highest value of 100, this means that the condition of the building is being with only minor damage. The total yield of the influence of the condition of the building (42.38%) and maintenance resources (25.01%) towards satisfaction of a user through maintenance management (1.26%) is 68.65%.

The steganography process combines mathematics and computer science. Steganography consists of a set of methods and techniques to embed the data into another media so that the contents are unreadable to anyone who does not have the authority to read these data. The main objective of the use of base64 method is to convert any file in order to achieve privacy. This paper discusses a steganography and encoding method using base64, which is a set of encoding schemes that convert the same binary data to the form of a series of ASCII code. Also, the EoF technique is used to embed encoding text performed by Base64. As an example, for the mechanisms a file is used to represent the texts, and by using the two methods together will increase the security level for protecting the data, this research aims to secure many types of files in a particular media with a good security and not to damage the stored files and coverage media that used.

Searching is a common process performed by many computer users, Raita algorithm is one algorithm that can be used to match and find information in accordance with the patterns entered. Raita algorithm applied to the file search application using java programming language and the results obtained from the testing process of the file search quickly and with accurate results and support many data types.

Complex domain occurs when a lot of knowledge overloads and knowledge trek phenomenon appeared with the raise of product complexity and the explosion of knowledge and information. The knowledge content of complex domain is difficult to organize. One of the complex domain is Fingerprint Fingerprint Personality Solution. However, it is difficult to organize the knowledge of Fingerprint solution since it is a complex domain. Knowledge acquisition also a part of the problem because there is an only little number of Fingerprint certified trainer that expert in Fingerprint solution. The other circumstances are an Fingerprint solution also have the possibility to be extended in future. To solve the following problem, Structured Knowledge is used to structure the knowledge content that will be more effectively organize the content in order to enhance reusable and extendable of the knowledge model. Structured Knowledge contains a wealth information, it can effectively help to carry out the knowledge of the complex domain. There are many ways to express the structured knowledge, Ontology is one of them. In this paper will discuss the development of Fingerprint Ontology based on METHONTOLOGY approach.

Data Mining is a process of exploring against large data to find patterns in decision making. One of the techniques in decision-making is classification. Classification is a technique in data mining by applying decision tree method to form data, algorithm C4.5 is algorithm that can be used to classify data in tree form. The system has been built that shows the results of good performance and minimal error in view of the system that is able to distinguish the anomaly traffic with normal traffic. Data mining inventory system applications can facilitate the control of inventory in the company to reduce production costs.

Prediction of suspended sediment discharge in a catchments area is very important because it can be used to evaluation the erosion hazard, management of its water resources, water quality, hydrology project management (dams, reservoirs, and irrigation) and to determine the extent of the damage that occurred in the catchments. Multiple Linear Regression analysis and artificial neural network can be used to predict the amount of daily suspended sediment discharge. Regression analysis using the least square method, whereas artificial neural networks using Radial Basis Function (RBF) and feedforward multilayer perceptron with three learning algorithms namely Levenberg-Marquardt (LM), Scaled Conjugate Descent (SCD) and Broyden-Fletcher-Goldfarb-Shanno Quasi-Newton (BFGS). The number neuron of hidden layer is three to sixteen, while in output layer only one neuron because only one output target. The mean absolute error (MAE), root mean square error (RMSE), coefficient of determination (R2 ) and coefficient of efficiency (CE) of the multiple linear regression (MLRg) value Model 2 (6 input variable independent) has the lowest the value of MAE and RMSE (0.0000002 and 13.6039) and highest R2 and CE (0.9971 and 0.9971). When compared between LM, SCG and RBF, the BFGS model structure 3-7-1 is the better and more accurate to prediction suspended sediment discharge in Jenderam catchment. The performance value in testing process, MAE and RMSE (13.5769 and 17.9011) is smallest, meanwhile R2 and CE (0.9999 and 0.9998) is the highest if it compared with the another BFGS Quasi-Newton model (6-3-1, 9-10-1 and 12-12-1). Based on the performance statistics value, MLRg, LM, SCG, BFGS and RBF suitable and accurately for prediction by modeling the non-linear complex behavior of suspended sediment responses to rainfall, water depth and discharge. The comparison between artificial neural network (ANN) and MLRg, the MLRg Model 2 accurately for to prediction suspended sediment discharge (kg/day) in Jenderan catchment area.

Airport is expected to play the role in enhancing the economic level of the region, especially the local people around the airport. The Aero City concept in developing an airport might also develop a city centreed in the airport that combining airport oriented business development, business actors and local people around the airport area. This study aims to generate development model of business centre at the airports in Indonesia. This is a mixed method based study. The population includes 296 airports under government management, government subsidiary and military. By using stratified random sampling, there were 151 sample airports. The results show that business centre development in the airport area will be related with the airport management and the commercial property (business centre) growth at the airport. Aero City in Indonesia can be developed by partnership system between government and private sector that consists of construction, development, and implementation of commercial property such as hotel, apartment, retail, office, etc. Based on the result of T-Value test, Airport Performance variable predicted to have significant influence on Gross Regional Domestic Product Central Business District performance.

Cybercrime is one of the most serious threats. Efforts are made to reduce the number of cybercrime is to find new techniques in securing data such as Cryptography, Steganography and Watermarking combination. Cryptography and Steganography is a growing data security science. A combination of Cryptography and Steganography is one effort to improve data integrity. New techniques are used by combining several algorithms, one of which is the incorporation of hill cipher method and Morse code. Morse code is one of the communication codes used in the Scouting field. This code consists of dots and lines. This is a new modern and classic concept to maintain data integrity. The result of the combination of these three methods is expected to generate new algorithms to improve the security of the data, especially images.

This research shows the process of string matching using a Boyer-Moore algorithm in the form of visual simulation by doing string searching of a pattern string, the result of visualization is recognized that Boyer-Moore algorithm will compare a n string from the right and will test to n-1 String to get the appropriate character of the desired input string.

Hate speech is now a problem for social media users such as Facebook, Twitter, Whatsapp and also Telegram. The current social media users are also a lot to post, share the content both consciously and unconsciously to various social media as well as even some hate speech postings are shared by irresponsible parties to gain profit from the chaos that he created, denigrating religion, vilify certain individuals even as an act of provocation. Prototype hate speech detection application created to detect hate speech on Facebook and it can give notification to users to be more aware of social media content and also careful in reading, share content that can trigger unpleasant actions.

The purpose of this research is to compare the SAW and TOPSIS methods. This research uses data selection of education scholarship in an Indonesian public school. This research uses data from selection of education scholarship program in an Indonesian public school. The methods usage is SAW and TOPSIS methods. A comparison of the two methods using this data set demonstrates that SAW method was more accurate than TOPSIS method.

The importance of health for everyone to be able to empower everything that is owned and the environment maximally, health is closely related to healthy living. So that can be described the meaning of healthy life is to have health in life with no problems of disruption in life both physical in the form of disease in the body and non-physical that is related to the condition of the soul, heart and mind of a person in life both individually and socially. The use of expert systems with the search model with the Fuzzy Mamdani method can help to know the condition of the disease that may be suffered by each individual based on the pattern of life that he did.

Human resources within a company's organization are significant to support the progress and quality of the company in achieving the goal. However, to achieve it all of these employees must have other supporting factors such as endurance, diligence, and accuracy or other skills. These factors can manage a system that can help to make decisions. One of the methods that can be used for decision support system is by using AHP (Analytical Hierarchy Process) method, this method is chosen because it can select the best alternative from a number of alternatives that is entitled to get the promotion and value of employee performance expected by company based on criteria which are determined. The result of the implementation process can sort the alternatives from the most considerable value to the smallest value.

Data security can be done with many techniques such as steganography and cryptography, the use of cryptographic algorithms such as Vigenere Cipher and One Time Pad to secure the data is expected to make the data difficult to be known by irresponsible parties, the test obtained results that the ciphertext results of different combinations and strong enough because the key used must match the length of the plaintext.

A geostatistics practical approach is divided data sample into several groups with certain rules. Then, the data groups are used for spatial interpolation. Furthermore, clustering technique is quite commonly used in order to get distance function between sample data. In this study, Self-Organizing Maps (SOM) optimized by using Learning Vector Quantization (LVQ) especially in distance variance have been implemented. The land value zone datasets in Samarinda, East Kalimantan, Indonesia have been used. This study shows that the SOM optimized by LVQ technique have a good distance variance value in the same cluster than SOM technique. In other words, SOM-LVQ can be alternative clustering technique especially centroid position in clusters.

Decision-making on conditions that involve many alternatives, many criteria, and many judgments is a difficult thing to do. The difficulty is coupled with assessors who sometimes make decisions in hesitant, unclear, and inconsistent circumstances and each person can provide different judgments. One of the methods that can be used is Hesitant Fuzzy Linguistic Term Sets which is the development of Fuzzy Sets that can make decisions by using Hesitant Fuzzy Sets. Hesitant linguistic term has been introduced for capturing the human way of reasoning using linguistic expressions involving different levels of precision. The integration of Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition will enhance the ability in the decision making process. This research will discuss the use of Hesitant Fuzzy Linguistic Term Sets method and Fuzzy Grid Partition for best lecturers determination.