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DESAIN ANIMASI STATISTIKA BERBASIS BAHASA PEMROGRAMAN R Yudistira, I.G.A. Anom
E-journal Widya Eksakta Vol 1, No 1 (2013)
Publisher : E-journal Widya Eksakta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (125.66 KB)

Abstrak: Latar belakang penulisan makalah ini adalah bahwa, kebutuhan untuk mengembangkan animasi khususnya dalam Statistika sangat diperlukan terutama yang murah dan mudah dalam pengembangannya. Tulisan ini bertujuan untuk merancang suatu animasi untuk menjelaskan konsep/teori dalam statistika dengan memanfaatkan bahasa R yang merupakan software open source. Metode penelitian yang digunakan dalam penelitian ini adalah metode kepustakaan. Program animasi yang dirancang meliputi peragaan untuk konsep peluang dan fungsi sebaran peluang, konsep kuasa uji (power test) , konsep teorema limit pusat, dan konsep selang kepercayaan. Konsep-konsep lain dapat dibuat dengan teknik pemrograman yang serupa.Â Kata kunci: statistika, animasi, bahasa R.Â Abstract: The background of this paper is that, the need to inexpensive and easy to develop of animation in particular of Statistics is required. This paper aims to design an animation to explain the concept / theory in statistics using the R language which is open source software. The method used in this study is the literature studies of relevant subject. The program includes demonstration animations designed for the concept of probability distribution function, the concept of the power of the test (power test), the concept of central limit theorem, and the concept of confidence interval. Other concepts can be made with a similar programming technique.Â Key words: statistics, animation, R programming

RANCANGAN SISTEM PENILAIAN KESELAMATAN PENGUNJUNG TEMPAT WISATA Yudistira, IG.A. Anom; Susanto, Nur Agus
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

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Tourism is currently growing rapidly and is a necessity for people pleasure. However this activity is not immune from risk. Theresearch aims to discuss the design of the assestment system of safety for tourist sites. The method used surveys and documentsanalysis through focus group discussion. The results shows 10 indicators along with 29 parameters that can be seen on tables. Scoringresults according to the indicators and parameters are used to classify the tourist sites based on visitors safety risks.

PENERAPAN METODE RESAMPLING UNTUK PENDUGAAN INDEKS KEMAMPUAN PROSES Yudistira, I.G.A. Anom
E-journal Widya Eksakta Vol 1, No 1 (2015)
Publisher : E-journal Widya Eksakta

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Abstrak:Â Â Â Â Â Â Pendugaan atas indeks kemampuan proses (Cp) yang dilakukan secara analitik memerlukan asumsi kenormalan yang mutlak harus dipenuhi, sehingga nilai dugaan dan galat baku yang diperoleh tersebut sahih. Akan tetapi sering kali asumsi ini sulit untuk dipenuhi, oleh karena itu diperlukan suatu metode alternatif untuk mendapatkan nilai dugaan indeks kemampuan proses dan galat bakunya. Tujuan penulisan makalah ini Â untuk membandingkan hasil dugaan indeks kemampuan proses yang diperoleh secara analitik, metode bootstrap parametrik dan metode bootstrap nonparametrik. Metode penelitian yang digunakan dalam penelitian ini adalah metode kepustakaan. Bahasa pemrograman R digunakan untuk melakukan komputasi intensif atas berbagai metode pendugaan untuk indeks kemampuan proses. Sebagai teladan untuk mengeksekusi program tersebut, digunakan data pistonrings yang terpasang pada package IQCC sehingga diperoleh hasil numeriknya. Hasil analitik untuk pendugaan indeks kemampuan proses adalah merupakan hasil yang terbaik, tetapi didasarkan atas asumsi-asumsi yang harus dipenuhi, seperti proses atau populasi menyebar normal. Asumsi ini kadang-kadang sulit untuk dipenuhi, maka diperlukan metode alternatif untuk menduga nilai indeks Cp ini. Metode Bootstrap Parametrik dapat digunakan apabila bentuk sebaran proses diketahui walaupun tidak harus normal. Metode Nonparametric sebagai pilihan terakhir di mana pengetahuan tentang sebaran prosesÂ sama sekali tidak dapat diperoleh.Â Kata kunci: indeks kemampuan proses, pengendalian kualitas, bahasa r.Â Abstract:Â Â Â Â Â Â The background in this paper that, estimation ofÂ process capability indices (Cp) were done analytically require normality assumption, so the estimated values and the standard error obtained valid.Â However this assumption is often difficult to be met, therefore we need an alternative method to obtain the estimated value of process capability indices and standard error.Â This paper aims to compare the results of theÂ process capability indices has estimate analytically, and the parametric and nonparametric bootstrap method.Â The method used in this study is the literature studies of relevant subject.Â R programming language used to perform computationally intensive on various methods of estimation for process capability index.Â As an example to execute the program, use the data piston rings which is part of the package IQCC order to obtain the numerical resultsÂ Key words: process capability index, statistical quality control, r programming

Pengembangan Simulasi Kejadian Diskret Berbasis Paket Simmer pada R I G.A. Anom Yudistira
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 3 No. 2 (2021): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v3i2.7386

This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model, then develop a DES simulation model building technique, which is effective and can represent real systems well, and explore the simulation output on this simmer, both in statistical summary form and parameter estimation. The method used in this research is the literature study, with descriptive and exploratory approaches. Model development is more effective when it is carried out starting from simple models, to more complex forms step by step, and describing the system using a flow chart. Replication for simulations is easy to perform, so as to get standard error values for model parameter estimators. The stages in developing a discrete event simulation model with a simmer, start with compiling a simple flowchart to a more complex form, and replication is carried out. The simmer output in the form of data.frame makes it very easy to further process the output. The simple R API on simmer will also make it easier to simulate

An Explainable AI Model for Hate Speech Detection on Indonesian Twitter Muhammad Amien Ibrahim; Samsul Arifin; I Gusti Agung Anom Yudistira; Rinda Nariswari; Abdul Azis Abdillah; Nerru Pranuta Murnaka; Puguh Wahyu Prasetyo
CommIT (Communication and Information Technology) Journal Vol. 16 No. 2 (2022): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v16i2.8343

To avoid citizen disputes, hate speech on social media, such as Twitter, must be automatically detected. The current research in Indonesian Twitter focuses on developing better hate speech detection models. However, there is limited study on the explainability aspects of hate speech detection. The research aims to explain issues that previous researchers have not detailed and attempt to answer the shortcomings of previous researchers. There are 13,169 tweets in the dataset with labels like “hate speech” and “abusive language”. The dataset also provides binary labels on whether hate speech is directed to individual, group, religion, race, physical disability, and gender. In the research, classification is performed by using traditional machine learning models, and the predictions are evaluated using an Explainable AI model, such as Local Interpretable Model-Agnostic Explanations (LIME), to allow users to comprehend why a tweet is regarded as a hateful message. Moreover, models that perform well in classification perceive incorrect words as contributing to hate speech. As a result, such models are unsuitable for deployment in the real world. In the investigation, the combination of XGBoost and logical LIME explanations produces the most logical results. The use of the Explainable AI model highlights the importance of choosing the ideal model while maintaining users’ trust in the deployed model.

Experimental Design Sensory Quality Boba Developed From Pumpkin Juliana Juliana; Rudy Pramono; I Gusti Anom Yudistira; Grace Kezia Josephine; Jessica Shaina Wijaya
International Journal of Applied Business and International Management Vol 7, No 1 (2022): April 2022
Publisher : AIBPM Publisher

In this day and age, boba topping is one of the most popular toppings for selling drinks, especially bubble tea. The boba itself was discovered in 1987 in Taiwan but has only recently become popular. Researchers want to make innovations from boba by adding pumpkin as the main ingredient of boba. Pumpkin has many benefits, so it is excellent and safe to use as a topping. In this study, researchers wanted to know about the original boba's color, taste, texture, and aroma, which would change if the essential pumpkin ingredient was added. This research is experimental. The researcher used an organoleptic test consisting of a hedonic test and a hedonic quality test to determine the panelists' preferences and good and bad impressions of the boba made. The researcher distributed the product to 20 trained panelists to be given an assessment. The results showed that the comparison of preferences between authentic boba and boba using pumpkin as the primary ingredient was not much different. The products made are still favored by the panelists. There are also some significant changes to the boba in color, taste, texture, and aroma.

Operasi Dasar Baris/Kolom Matriks Secara Interaktif Dengan Menggunakan R I Gusti Agung Anom Yudistira; Rinda Nariswari
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9206

The linear algebra applications available today usually only provide the result. So, it is a challenge to overcome this, and innovation is needed in the computing aspect. One of the popular and open-source programming languages is R. The computational innovation in R needs to be explored further, to explore the R programming logic. The creation of a function environment with the list function and the involvement of local and global variables/objects has received little attention. Based on the problems formulated, this study proposes two objectives, namely (1) developing an R program that is able to provide interactive and step-by-step solutions, to obtain a solution of a system of linear equations, and (2) to explore R’s ability to create and handle global variables. An R program is created, starting with creating a function environment. This function environment is filled with four related functions, namely “exchange”, “multiply”, “fold”, and “yield”. These four functions are connected to each other through a global object. Users can type in each function to perform row/column operations, interactively and step by step. The environmental function in this program, is named OBE. The OBE function accepts input in the form of a coupling matrix derived from a system of linear equations. The final result of this interactive process chain is given by the “result” function. The result function will display two matrices, namely the Original Matrix which is the input and the Equivalent Matrix.

Program Evaluation and Review Technique (PERT) Analysis to Predict Completion Time and Project Risk Using Discrete Event System Simulation Method Yudistira, I Gusti Agung Anom; Nariswari, Rinda; Arifin, Samsul; Abdillah, Abdul Azis; Prasetyo, Puguh Wahyu; Susyanto, Nanang
CommIT (Communication and Information Technology) Journal Vol. 18 No. 1 (2024): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v18i1.8495

The prediction of project completion time, which is important in project management, is only based on an estimate of three numbers, namely the fastest, slowest, and presumably time. The common practice of applying normal distribution through Monte Carlo simulation in Program Evaluation and Review Technique (PERT) research often fails to accurately represent project activity durations, leading to potentially biased project completion prediction. Based on these problems, a different method is proposed, namely, Discrete Event Simulation (DES). The research aims to evaluate the effectiveness of the simmer package in R in conducting PERT analysis. Specifically, there are three objectives in the research: 1) develop a simulation model to predict how long a project will take and find the critical path, 2) create an R script to simulate discrete events on a PERT network, and 3) explore the simulation output using the simmer package in the form of summary statistics and estimation of project risk. Then, a library research with a descriptive and exploratory method is used for data collection. The hypothetical network is used to obtain the numerical results, which provide the predicted value of the project completion, the critical path, and the risk level. Simulation, including 100 replications, results in a predicted project completion time and a standard deviation of 20.7 and 2.2 weeks, respectively. The DES method has been proven highly effective in predicting the completion time of a project described by the PERT network. In addition, it offers increased flexibility.

Experimental Design Sensory Quality Boba Developed From Pumpkin Juliana Juliana; Rudy Pramono; I Gusti Anom Yudistira; Grace Kezia Josephine; Jessica Shaina Wijaya
International Journal of Applied Business and International Management Vol 7, No 1 (2022): April 2022
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijabim.v7i1.1439

In this day and age, boba topping is one of the most popular toppings for selling drinks, especially bubble tea. The boba itself was discovered in 1987 in Taiwan but has only recently become popular. Researchers want to make innovations from boba by adding pumpkin as the main ingredient of boba. Pumpkin has many benefits, so it is excellent and safe to use as a topping. In this study, researchers wanted to know about the original boba's color, taste, texture, and aroma, which would change if the essential pumpkin ingredient was added. This research is experimental. The researcher used an organoleptic test consisting of a hedonic test and a hedonic quality test to determine the panelists' preferences and good and bad impressions of the boba made. The researcher distributed the product to 20 trained panelists to be given an assessment. The results showed that the comparison of preferences between authentic boba and boba using pumpkin as the primary ingredient was not much different. The products made are still favored by the panelists. There are also some significant changes to the boba in color, taste, texture, and aroma.Â Â

Simulation Techniques in Sugarcane Transportation Model Using R Programming Language Yudistira, I Gusti Agung Anom; Pasaribu, Asysta Amalia; Aryusmar, Aryusmar
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.12344

The R programming language is generally known for its strength in Monte Carlo simulations, and numerical computing. This study will try to utilize R for discrete event simulations, namely in transportation systems, especially sugarcane transportation. The purpose of this paper is to study the performance of the sugarcane transportation system from the plantation to the factory, by utilizing the R programming language. The things that will be studied are to obtain changes in the system parameters so that more optimal performance is obtained. These parameters include the time required for the sugarcane to be in the transportation system, the length of the sugarcane pile in the plantation before being transported, the amount of resources needed for all transportation activities (loading, transporting and unloading), the number of transport equipment, loading equipment and unloading equipment needed, so that the harvest target is met and the waiting time for the sugarcane to be milled is as minimal as possible. As well as the level of utility of all resources provided in the system. The stages in this study include 1) literature review, 2) describing the sugarcane transportation system, 3) building assumptions and system constraints, 4) designing the transportation system conceptually, 5) developing programming code, 6) model testing/verification, 7) model validation, and 8) conducting experiments on the model. The results of the analysis of the model output indicate that the â€œopen source Râ€ programming language can be effectively applied to model the sugarcane transportation system.

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