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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
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Penerapan Metode Certainty Factor dalam Sistem Pakar Pendeteksi Resiko Osteoporosis dan Osteoarthritis Stephanie Halim; Seng Hansun
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 2 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1022.198 KB) | DOI: 10.31937/sk.v7i2.233

Abstract

Osteoporosis is commonly referred to “thinning” and osteoarthritis referred to “calcification”, but people giving wrong action treatment of these two diseases. Therefore, the aim of this study is to develop an android-based application to identify the risk of osteoporosis and osteoarthritis. To identify that risk was processed using certainty factor method. Certainty factor method related about event based on facts, which the source of those facts are from expert and assumed with a value, called certainty factor. From the testing result, the accuracy of this expert system is about 80%. Index Terms - Certainty factor, disease diagnose, expert system, osteoarthritis, osteoporosis
Implementasi Algoritma Squeezer dan Term Frequency Ranking dalam Pembangunan Sistem Rekomendasi Tempat Makan Vincentius Wirawan; Seng Hansun; Hargyo Tri Nugroho I.
Ultima Computing : Jurnal Sistem Komputer Vol 6 No 1 (2014): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1797.194 KB) | DOI: 10.31937/sk.v6i1.292

Abstract

Food is something that can not be separated from the life of every human being. Its variation makes a lot of people interested in tasting many types of food, even they have not known yet. The detail information of restaurants, especially their location could be a problem. So, the restaurants recommendation website is made to help them. The recommendations are given by the Squeezer algorithm using the user’s input as references. The accuracy of the given recommendations are determined from the amount and consistency of the user at the time of selecting the item. The Term Frequency Ranking is used as a searching feature to display the search results in ordered manner by their relevancy rank. Experiment result shows that the Term Frequency Ranking gives high value of Recall, 1, and 0.46 for the Precision value. Index Terms—Recommended System, Squeezer, Term Frequency Ranking, Website.
Implementasi Audio Steganografi menggunakan 4th LSB dan Advanced Encryption Standard pada Windows Phone M. Chaeril Maricar; Seng Hansun
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 1 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.404 KB) | DOI: 10.31937/sk.v7i1.442

Abstract

Securing data during transmission become one of the problem in technology, those data can be intercepted and read by others. One preventive action to overcome this is by using steganography. This thesis implements an audio steganography using Windows Phone. Combination of Advanced Encryption Standard to secure data and Audio Wave Steganography which embedded data inside 4th LSB layer, resulting in increased safety and robustness against noise addition compared to 1st LSB. Index Terms—Advanced Encryption Standard, Audio Steganography, Audio Wave Steganography, Least Significant Bit, Windows Phone.
Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara) Joko Haryanto; Seng Hansun
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 1 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.769 KB) | DOI: 10.31937/sk.v7i1.448

Abstract

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major
Optimasi Pencarian Kata pada Aplikasi Penerjemah Bahasa Mandarin – Indonesia Berbasis Android dengan Algoritma Levenshtein Distance Peggy Peggy; Seng Hansun
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 1 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.877 KB) | DOI: 10.31937/sk.v7i1.449

Abstract

In the Chinese-Indonesian language translator application on electronic device, such as Android, input is all about pinyin. Sometimes, some errors could occured. User can not find the word which he is searching for. These errors can increase the number of processing time. A solution to solve these errors is performing optimization on the application, i.e. by providing some alternative approaches word which typed by user. Application will sort alternative words according to the smallest distance to the largest distance. Then, application will display alternative words order from top priority which has the smallest distance, to low priority which has the largest distance. In brief, translator application with optimization is useful to shorten processing time of translating from Chinese to Indonesian by providing alternative words. Optimization is done with Levenshtein Distance algorithm. Levenshtein Distance algorithm will calculate the difference between the distance of the word user typed among alternative words. Index Terms─Android, Chinese, Indonesian, Levenshtein Distance, optimization, translator application
Penerapan Algoritma C4.5 pada Analisis Kerusakan Barang Jadi Ivan Oktana; Seng Hansun
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 1 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.728 KB) | DOI: 10.31937/sk.v7i1.450

Abstract

A Data mining is the activity that includes the collection, the use of historical data to discover regularity, patterns and relationship in a large data set. The usefulness of data mining is to specify a pattern to be found in the data mining task. The presences of data mining is motivated by the problem of data explosion which had been experienced lately these day where many organization or company collect so many years of data (purchasing data, sales data, damage data item, transaction data, and so on). In this paper data mining methods been used to analyze the damage data of finished products, with the goal of producing a pattern of the damage product. Based on the pattern from product’s damage, can be see and the aspects that affect to the damaged product. The purpose of this study is to show information about the relationship of damage data of finished goods using C4.5 algorithms in PT. Kayu Lapis Asli Murni, and display results in the form of a decision tree mining. Index Terms—data mining, C4.5 algorithms, decision tree, damage data of finished products, PT. Kayu Lapis Asli Murni
Rekomendasi Pemilihan Mobil dengan Algoritma VIKOR Brian Kristianto; Alethea Suryadibrata; Seng Hansun
Jurnal Sains dan Informatika Vol. 7 No. 1 (2021): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v7i1.269

Abstract

Penjualan mobil di Indonesia terus meningkat tiap tahunnya. Pada tahun 2009 terdapat 7,9 juta unit mobil di Indonesia dan pada 2016 telah mencapai 14,6 juta unit. Peningkatan penjualan kendaraan disebabkan oleh meningkatnya permintaan pasar. Namun demikian, tidak semua calon pembeli mengetahui mobil mana yang akan dibeli dan yang sesuai kebutuhannya. Peningkatan permintaan dari konsumen juga menyebabkan munculnya tipe-tipe mobil dengan kriteria inovatif untuk menarik calon pembeli. VIKOR merupakan algoritma yang cukup baik dalam pemecahan sistem rekomendasi dengan multi criteria. Oleh karenanya, algoritma VIKOR diterapkan di sini dengan menggunakan PHP dan framework CodeIgniter. Uji coba dilakukan dengan meminta tiga puluh responden untuk mengisi kuesioner EUCS yang mengukur kepuasan pengguna terhadap sistem yang dibangun. Hasil uji coba mendapatkan nilai persentase EUCS sebesar 77,167% yang tergolong dalam predikat baik.
Structured Data Markup dan Format Microdata pada Search Engine Optimization Portal Berita Teddy Aryono; Seng Hansun
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 1: Februari 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.791 KB)

Abstract

Revolution of technology makes information demand through internet increases. This has to be followed by implementing Search Engine Optimization (SEO), therefore, sites that contain good information can get top rank in search result by the search engines. This paper describes implementation of structured data markup method to implement an SEO in a website. The objective is to analyze the effectiveness of structured data markup method to increase pageview of a website. Testing is done by building two identical news portal sites and implementing structured data markup on one of those sites. Benchmarking of success is carried out using Google Analytics for 31 consecutive days with the pageview as parameters. The results show that the sites implementing this method has pageviews 5.7% more than the sites that do not implement this method. On the 31st day, guratpena website, that implementing structured data markup, has 871 pageviews, while suaralensa website that does not implement the method only has 822 pageviews.
On searching the best mode for forex forecasting: bidirectional long short-term memory default mode is not enough Seng Hansun; Farica Perdana Putri; Abdul Q. M. Khaliq; Hugeng Hugeng
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Presently, the Forex market has become the world’s largest financial market with more than US$5 trillion daily volume. Therefore, it attracts many researchers to learn its traded currency pairs characteristics and predict their future values. Here, we propose simple three layers Bidirectional long short-term memory (Bi-LSTM) networks for Forex forecasting with four different merge modes. Moreover, the proposed model is also compared to the conventional long short-term memory (LSTM) networks with the same architecture. Five major Forex currency pairs, namely AUD/USD, EUR/USD, GBP/USD, USD/CHF, and USD/JPY, with more than ten years of historical records are considered in this study. It is revealed from the experimental results that among four available merge modes, the concatenation mode as the default merge mode in Bi-LSTM networks is actually the less preferred mode for Forex forecasting (Root mean square error 0.30685517, mean absolute error 0.27442235, mean absolute percentage error 0.827108%). Moreover, Bi-LSTM average mode gets the highest  score that could achieve 89.579%. Therefore, the proposed three layers Bi-LSTM networks could provide a baseline result for developing a good trading strategy in Forex forecasting.
RANCANG BANGUN APLIKASI INFORMASI RUTE BUS MAYASARI BAKTI DENGAN ALGORITMA KNUTH- MORRIS-PRATT BERBASIS ANDROID Fransiscus Xaverius Syahasta A.T.; Seng Hansun
Jurnal Informatika Vol 12, No 1 (2016): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.456 KB) | DOI: 10.21460/inf.2016.121.443

Abstract

This research is about design and development of information application of Mayasari Bakti buses’ route for smartphones based on Android operating system. To search for the expected bus, this application implements Knuth-Morris-Pratt Algorithm. The application was tested on 41 respondents and the result is very useful to search for one until two buses which can take the passengers from an origin to destination location which have been selected before, and show it up on a map.
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