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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Evaluation and Research in Education (IJERE) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Jurnal INKOM JIK Jurnal Ilmu Komputer Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Teknik dan Ilmu Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Mathematical and Fundamental Sciences Journal of ICT Research and Applications Telematika Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Fountain of Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Sains dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Jurnal ULTIMA Computing Jurnal Ilmiah Media Sisfo Jurnal Informatika KOMPUTA : Jurnal Ilmiah Komputer dan Informatika STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Ilmiah Ilmu dan Teknologi Rekayasa JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi Aceh International Journal of Science and Technology Jurnal Teknologi Informasi Indonesia Jurnal Rekayasa Informasi

Seng Hansun

Universitas Multimedia Nusantara

Author-ID : 274790

Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Other

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Implementasi Algoritma Rete pada Sistem Pakar Untuk Mendeteksi Autism Spectrum Disorder Berbasis Web Kevin, Kevin; Hansun, Seng
JIK: Jurnal Ilmu Komputer Vol 11, No 1 (2015)
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/komp.v11i1.1166

Autism is a very complex developmental disorder in children. According to data that was acquired from Centers for Disease Control and Prevention (CDC), 1 in every 68 children suffers from Autism Spectrum Disorder. This, of course needs proper handling from pa-rents and professionals. Therefore a web based expert system application is made to predict the type of Autism Spectrum Disorder according to the most updated international standards. This application is made using Rete Algorithm. Based on the test using 31 data, all of system output matches the results issued by real human experts.Keywords: index termsÃ¢â‚¬â€autism, autism spectrum disorder, expert system

Nolong.in: an android based incident notification application with push notification technology Arthur Bachtiar Gunawan; Seng Hansun; Marcel Bonar Kristanda
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety.

Gamified Android-Based Academic Information System Henry Setiana; Seng Hansun
International Journal of Evaluation and Research in Education (IJERE) Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Student is often lazy when it comes to studying, and how to motivate student was one of the problem in the educational world. To overcome the matters, we will implement the gamification method into an Academic Information System. Academic Information System is a software used for providing information and arranging administration which connected with academic activities. By implementing the gamification method, it is expected to improve student’s interest on the study programs. Gamification itself is a process with the purpose of changing non-game context into a more interesting application by integrating game thinking, game design, and game mechanics. From the evaluation result, it is concluded that the application has been successfully built and the gamification method has been successfully implemented to improve student’s interest and the most influential gamification features are point and reward.

Zoo Simulator to Increase Children Learning Phase Rendy Rendy; Marcel Bonar Kristanda; Seng Hansun
International Journal of Evaluation and Research in Education (IJERE) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

The growth of kids' brain could be optimized by recognizing something. Learning to recognize animals is one of the methods to stimulate the children's brain growth to imagine. Nevertheless, kids tend to spend all their time by playing and could not focus to recognize the animals due to the way of learning which is usually not interactive and not interesting. Therefore, a game application was designed and developed to be used as a way to help children in recognizing the animals. This program was developed as a mobile game application with the animation and attractive display to increase the kids' interest to learn the animals. Beside that, Fisher-Yates shuffle algorithm has been successfully implemented on the game to randomize the images which can be found on puzzles, randomize the answers in image guessing puzzles, randomize animals to choose which can be sold, randomize the foods which will be given to the pets, and randomize the initial position to create patterns on rescue rare animal puzzles. After the implementation and testing on the game application, it proves that it could increase the kids’ interest in learning new animals to 4.18 in ARCS interest measuring index compare with textbook method which only 2.74.

Entity Annotation WordPress Plugin using TAGME Technology William Aprilius; Seng Hansun; Dennis Gunawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.4631

The development of internet technology makes more information can be accessed. It makes information need to be organized in order to be easily managed. One solution can be used is by using the entity annotation approach which generates tags to represent that document. In this study, TAGME technology is implemented on a WordPress plugin, which is used to manage a blog. Moreover, information on Wikipedia ‘Bahasa Indonesia’ is processed to generate an anchor dictionary which is required by the technology that is implemented. This plugin performs entity annotation by giving tag suggestion for posts in a blog. Testing is carried out by measuring the precision, recall, and of tag suggestions given by the plugin. The result shows that the plugin can give tag suggestions with precision 0.7638, recall 0.5508, and 0.59.

Big 5 ASEAN capital markets forecasting using WEMA method Seng Hansun; Marcel Bonar Kristanda; P. M. Winarno
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.v17i1.11625

ASEAN through ASEAN Economics Community (AEC) 2020 treaty has proposed financial integration via capital markets integration in order to aim comprehensive ASEAN economic integration. Therefore, the need to have a proper prediction of ASEAN capital market becomes a major issue. In this study, we took big 5 ASEAN capital markets, i.e. Straits Times Index (STI), Kuala Lumpur Stock Exchange (KLSE), Stock Exchange of Thailand (SET), Jakarta Stock Exchange (JKSE), and Philippine Stock Exchange (PSE) to be forecasted using WEMA method. Weighted Exponential Moving Average (WEMA) is a new hybrid moving average method which combines the weighting factor calculation in Weighted Moving Average (WMA) with the procedure of Exponential Moving Average (EMA). WEMA has successfully been implemented and used to forecaste discrete time series data, but never being used to forecast ASEAN capital markets. In this study, we took further action by implementing the WEMA method with brute force approach for scaling factor tuning on big 5 ASEAN capital markets. From the experimental results, we found that WEMA has successfully forecasted all those exchanges. By looking at the forecast error measurement, it gives the best performance on PSE and worst performance on SET dataset among all datasets being considered in this study.

Brown’s Weighted Exponential Moving Average Implementation in Forex Forecasting Seng Hansun; Subanar Subanar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.5410

In 2016, a time series forecasting technique which combined the weighting factor calculation formula found in weighted moving average with Brown’s double exponential smoothing procedures had been introduced. The technique is known as Brown’s weighted exponential moving average (B-WEMA), as a new variant of double exponential smoothing method which does the exponential filter processes twice. In this research, we will try to implement the new method to forecast some foreign exchange, or known as forex data, including EUR/USD, AUD/USD, GBP/USD, USD/JPY, and EUR/JPY data. The time series data forecasting results using B-WEMA then be compared with other conventional and hybrid moving average methods, such as weighted moving average (WMA), exponential moving average (EMA), and Brown’s double exponential smoothing (B-DES). The comparison results show that B-WEMA has a better accuracy level than other forecasting methods used in this research.

H-WEMA: A New Approach of Double Exponential Smoothing Method Seng Hansun; Subanar Subanar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3096

A popular smoothing technique commonly used in time series analysis is double exponential smoothing. Basically, it’s an improvement of simple exponential smoothing which does the exponential filter process twice. Many researchers had developed the technique, hence Brown’s double exponential smoothing and Holt’s double exponential smoothing. Here, we introduce a new approach of double exponential smoothing, called H-WEMA, which combines the calculation of weighting factor in weighted moving average with Holt’s double exponential smoothing method. The proposed method will then be tested on Jakarta Stock Exchange (JKSE) composite index data. The accuracy and robustness level of the proposed method will then be examined by using mean square error and mean absolute percentage error criteria, and be compared to other conventional methods.

Indonesian language email spam detection using N-gram and Naïve Bayes algorithm Yustinus Vernanda; Seng Hansun; Marcel Bonar Kristanda
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Indonesia is ranked the top 8th out of the total country population in the world for the global spammers. Web-based spam filter service with the REST API type can be used to detect email spam in the Indonesian language on the email server or various types of email server applications. With REST API, then there will be data exchange between the applications with JSON data type using existing HTTP commands. One type of spam filter commonly used is Bayesian Filtering, where the Naïve Bayes algorithm is used as a classification algorithm. Meanwhile, the N-gram method is used to increase the accuracy of the implementation of the Naïve Bayes algorithm in this study. N-gram and Naïve Bayes algorithms to detect spam email in the Indonesian language have successfully been implemented with accuracy around 0.615 until 0.94, precision at 0.566 until 0.924, recall at 0.96 until 1.00, and F-measure at 0.721 until 0.942. The best solution is found by using the 5-gram method with the highest score of accuracy at 0.94, precision at 0.924, recall at 0.96, and F-measure value at 0.942.

PREDIKSI KELAYAKAN MASUK PENJURUSAN IPA SISWA SEKOLAH MENENGAH ATAS MENGGUNAKAN C4.5 (Studi Kasus: SMA Tarakanita Gading Serpong) Rasi Rahwali; Seng Hansun; Yustinus Widya Wiratama
Telematika Vol 10, No 2: Agustus (2017)
Publisher : Universitas Amikom Purwokerto

Penjurusan Sekolah Menengah Atas adalah masa yang penting dalam menentukan masa depan pendidikan di jenjang berikutnya, yang dimulai dari kelas 10 naik ke kelas 11, dan untuk menentukan penjurusan tersebut digunakan variabel-variabel penentuan penjurusan. Untuk mendukung hasil prediksi penentuan penjurusan SMA, maka dibuatlah penelitian ini. Pada penelitian ini, algoritma yang digunakan untuk memprediksi kelayakan masuk penjurusan IPA pada Sekolah Menengah Atas, khususnya pada SMA Tarakanita Gading Serpong adalah algoritma C4.5, yang merupakan salah satu algoritma data mining yang populer digunakan. Variabel yang digunakan dalam proses penentuan keputusan adalah nilai materi pelajaran Matematika dan IPA siswa kelas XI, XII, serta hasil psikotest berupa bakat dan minat siswa. Hasil dari algoritma C4.5 ini dapat membentuk suatu pohon keputusan yang dapat menentukan hasil prediksi kelayakan masuk penjurusan IPA. Berdasarkan uji coba yang telah dilakukan, aplikasi prediksi kelayakan masuk penjurusan IPA telah berhasil diterapkan dengan hasil yang sesuai dengan kriteria, dan memiliki tingkat error 16,65%.

Co-Authors Abdul Q. M. Khaliq Airell, Thomas Albert Albert Alethea Suryadibrata Andre Rusli Andreas Budiman Andy Santoso Andy Tanu Ciaputra Arthur Bachtiar Gunawan Aryono, Teddy Audrey Sugiarto Audy Audy Audy Brian Kristianto Brinardi Leonardo Daniel Halim David Hartanto Kamagi David Widodo Dennis Gunawan Dennis Gunawan Dewangga, Chendra Dharma Pratama Edbert Wibowo Sumarlin Erik Tangganu Erikson Marbun Erwin Ruslim Sia Fandy Ferdian Harryanto Farica Perdana Putri Fransiscus Xaverius Syahasta A.T. Halim, Rendy Hargyo Tri Nugroho I. Hayanto, Naufal Irfan Hendry Setiawan Henry Setiana Hugeng Hugeng Indah Noviasari Irma Yunita Ivan Oktana Ivana Herliana W. Jayawardanu Jason Christian Jessica Jessica Jessika Wandapranata Jhondry, Michael John Elmer Semaya John, Richard Joko Haryanto Julio Christian Young Kencana Wulan Argakusumah Kevin kevin Kristanda, Marcel Bonar Kristanda, Marcel Bonar Kristian Kristian Kristian Tjandradiredja Lesmana, Dennis Johanes Lucy Meiliana M. Chaeril Maricar Marbun, Erikson Marcel Bonar Kristanda Marcel Bonar Kristanda Marsel Widjaja Marvin Apriyadi Monica Santika Muh Salehuddin Muhammad Salehuddin Oktavianus, Alvin P. M. Winarno Pandean, Santo Sinar Peggy Peggy Rasi Rahwali Renaldo Valentdra Rendy Rendy Rizky Zaldi, Mochamad Simon Salomon Sirait, Gilbert Stanley Sutedy Stefanie Sirapanji Stephanie Halim Subanar . subanar subanar Sumarlin, Edbert Wibowo Sutedy, Stanley Teddy Aryono Vincentius Wirawan William Aprilius Wiratama, Yustinus Widya Wiratama, Yustinus Widya Wiryaputra, Samuel Yosua Petra Yosua Petra, Yosua Yustinus Vernanda Yustinus Widya Wiratama Yustinus Widya Wiratama

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