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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal Information System Development Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Petrus Widjaja
Universitas Pelita Harapan
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Modelling and implementation of 9tka game with MaxN algorithm Dina Stefani; Frederikus J.; Irene Astuti Lazarusli; Samuel Lukas; Petrus Widjaja
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11590

Abstract

9tka is a board game created by Adam Kaluza. The game can be played with 2 up to 4 players, with the goal of conquering as many areas in the board as possible. The aim of this research is to implement the 9tka game into a digital game that can be played on a personal computer. The implementation will include the feature to play against computer players. The rules and game’s play of 9tka is modelled, and then implemented using Java. The Artificial Intelligence (AI) of the computer player is implemented using the MaxN algorithm, which is an extension of the minimax algorithm. Several tests were done to gauge the robustness of the implemented AI. The experiments show that the AI is capable to make a move in time less than 541 milliseconds on average, across all types of players. Moreover, from eight respondents, the average amount of human wins is 2.25 out of 5 matches, across all types of players. This shows that the implemented AI on computer player has a better chance to defeat human opponents.
ANALISIS PREMI DAN CADANGAN PREMI MODEL MULTIPLE STATE DISKRIT DENGAN SIMULASI MONTE CARLO Dion Krisnadi; Felia Felia; Samuel Lukas; Petrus Widjaja
Journal Information System Development (ISD) Vol 7 No 1 (2022): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Terdapat lima jenis asuransi, yaitu asuransi seumur hidup, berjangka, dwiguna, dwiguna murni, dan tangguhan. Perhitungan premi serta cadangan (premi) dibutuhkan untuk memastikan penanggung dapat memberikan manfaat yang dijanjikan. Pengaruh dari empat variabel, yaitu suku bunga dan nilai deviasi, masa kontrak, serta manfaat, terhadap premi dan cadangan dianalisis menggunakan model multiple state diskrit dengan simulasi Monte Carlo. Tingginya suku bunga membuat nilai premi menurun dan cadangan semakin mendekati nol. Besarnya deviasi suku bunga mengakibatkan premi dan cadangan menjauh dari hasil perhitungan tanpa deviasi. Besarnya manfaat asuransi membuat premi meningkat dan cadangan semakin menjauhi nol. Sementara itu, perubahan masa kontrak memberi pengaruh yang berbeda sesuai dengan jenis asuransinya. Dengan analisis sensitivias, suku bunga memiliki pengaruh terbesar pada asuransi seumur hidup, sementara variabel paling berpengaruh pada dwiguna murni dan tangguhan adalah masa kontrak. Di sisi lain, variabel paling berpengaruh pada berjangka dan dwiguna adalah suku bunga atau masa kontrak, tergantung dari status tertanggung
Penerapan Support Vector Machine Untuk Jalur Peminatan Program Studi Dion Krisnadi; Nadya D. Bachtiar; Samuel Lukas; Pujianto Yugopuspito; Petrus Widjaja
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.727 KB)

Abstract

It is common that in a curriculum of field of study provides some electives subjects to be selected by their students. Some electives subjects are grouped into a major study. Universitas Pelita Harapan Informatics department offers three major studies. They are Software Engineering, Medical Informatics and Intelligent & Interactive Media. These majors are provided in order to fit interest of the students. Students must choose one major for persuing their degree after they finished the first two years studies. This paper discusses on how to implement the Support Vector machines technology for helping students in determining their major based on their academic records. The inputs of the system ere grades of the subjects of the first two years studied and the outputs is the GPA of the electives subjects for each major.
PERBANDINGAN PERFORMA BAGGING DAN ADABOOST UNTUK KLASIFIKASI DATA MULTI-CLASS Samuel Lukas; Osvaldo Vigo; Dion Krisnadi; Petrus Widjaja
Journal Information System Development (ISD) Vol 7 No 2 (2022): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/isd.v7i2.547

Abstract

One technique to improve the performance of Machine Learning algorithms is to use Ensemble Learning. The idea of ​​this technique combines several Machine Learning algorithms or commonly referred to as base learners. The purpose of this study is to compare the performance of the two Ensemble Learning algorithms, namely the Bootstrap Aggregating (Bagging) method and the Adaptive Boosting (AdaBoost) method. This study uses eleven datasets with multi-class classifications that are independent of the characteristics (data proportion, number of data, and problems) and the number of different classes of target variables. The results showed that the accuracy and F1 model formed by the Bagging method tended to show better value performance than that of the AdaBoost method on the evaluation metric with an average evaluation value of 72.21% and 61% for Bagging and 66.25% and 53, respectively. 7% for AdaBoost. However, the results of hypothesis testing show that it is not significant enough. In addition, the length of computation time to form the Bagging model and the AdaBoost model is not different
Analysis Of The Sirs Model Of The Spread Of Dengue Hemorrhagic Fever Using Runge-Kutta Method And Genetic Algorithm Melyssa Mentari Tjioenata; Samuel Lukas; Dina Stefani; Petrus Widjaja
Journal Information System Development (ISD) Vol 8 No 1 (2023): Journal Information System Development
Publisher : UNIVERSITAS PELITA HARAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/isd.v8i1.566

Abstract

Dengue Hemorrhagic Fever is a contagious disease that often occurs in Indonesia. Dengue Hemorrhagic Fever, caused by the Dengue Virus, has four serotypes : DEN-1, DEN-2, DEN-3 and DEN-4. Someone can be infected four times, once for each serotype. After recovering from one serotype, a person gets a lifetime of immunity against that serotype. In this paper a model will be created for modeling the spread of Dengue Hemorrhagic Fever with assumption there are only two serotypes, namely DEN-1 and DEN-2. Model formed based on SIR Model (Susceptible, Infected, Recovered) and SIRS Model (Susceptible, Infected, Recovered, Susceptible). The changes in populations over time are written into a system of differential equations. The system of differential equations is then used to do an equilibrium point analysis. The numerical solution for the system of differential equations can be found using the Runge-Kutta Method. Genetic Algorithm are used to find the values of parameters in the model that are unknown. A series of simulations are performed to get the combination that produces the Genetic Algorithm system that will produce the best approximation solution. The combination includes population size, selection value, crossover value and mutation value. This best combination then will produce an approximation solution with the smallest error.
Co-Authors Dina Stefani Dion Krisnadi Dion Krisnadi Felia Felia Frederikus J. Irene Astuti Lazarusli Melyssa Mentari Tjioenata Nadya D. Bachtiar Osvaldo Vigo Samuel Lukas Yugopuspito, Pujianto