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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi Jurnal Ilmu Komputer Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal INKOM Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal technoscientia Jurnal Teknologi Prosiding SNATIKA Vol 01 (2011) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information Technology and Computer Science Emerging Science Journal IJID (International Journal on Informatics for Development) CCIT (Creative Communication and Innovative Technology) Journal JISKa (Jurnal Informatika Sunan Kalijaga) JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of Applied Data Sciences Makara Journal of Science Jurnal Informatika dan Multimedia JEECS (Journal of Electrical Engineering and Computer Sciences) Madani: Multidisciplinary Scientific Journal
Retantyo Wardoyo
Universitas Gadjah Mada
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Ontology implementation within e-Learning Personalization System Bernard Renaldy Suteja; Suryo Guritno; Retantyo Wardoyo; Ahmad Asharit
CCIT Journal Vol 3 No 3 (2010): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5944.643 KB) | DOI: 10.33050/ccit.v3i3.702

Abstract

Website adalah realisasi dari teknologi internet. Saat ini, seperti yang terlihat dari tren penggunaan, situs web telah berevolusi. Pada awalnya, situs hanya mengadopsi kebutuhan untuk mencari dan browsing informasi. Langkah awal peningkatan website sering dikenal sebagai teknologi 1,0 web. Saat ini, teknologi web 2.0 telah memungkinkan interaksi baik antar web-ke-web. Jenis interaksi seperti mengubah in formasi (sharing), dalam bentuk dokumen (SlideShare), gambar flickr), atau video (Youtube), informasi eksploitasi (wikipedia), dan juga penciptaan komunitas online (weblog, forum web) terutama layanan yang melibatkan masyarakat (inti dari web 2.0). Hal ini membawa dampak dan disebabkan oleh peningkatan interaksi sosial di dunia maya yang luas (internei) yang diikuti oleh munculnya interaksi pembelajaran dan pelatihan di mana seja-kapan saja yang disebut sebagai e-Learning. Pada dasarnya, belajar online memerlukan metode belajar mandiri dan kebiasaan belajar, yang sayangnya dimiliki oleh beberapa sumber daya manusia Indonesia. Kondisi yang terburuk dengan adanya sistem e-Learning sistem adalah karena e-Learning hanya bei fokus pada proses pengiriman konten substansi pembelajaran yang sama terhadap pelajar, meninggalkan aspek kognitif dan tidak menawarkan pendekatan atau pengalaman sendiri belajar interaktif dan juga meninggalkan adaptasi aspek pengguna dengan sistem. Oleh karena itu, agar e-Learning di Indonesia sukses diperlukan sistem e-Learning yang menerapkan teknologi web 2.0 agar para pelajar secara aktif berpartisipasi dan sistem yang menekankan personalisasi seperti kemampuan komprehensif, adaptif untuk tingkat kemampuan pelajar dan pengetahuan yang memiliki dukungan sumber daya. Dalam sistem e-Learning yang dibangun, ontologi akan diterapkan sebagai representasi makna pengetahuan dibentuk oleh para pelajar yang menggunakan sistem.
Virtual Agent Character untuk Mendukung Intelligent Tutoring System Berbasis Web Bernard Renaldy Suteja; Retantyo Wardoyo; Sri Hartati
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Pesatnya perkembangan teknologi web telah banyak dimanfaatkan dalam dunia pendidikan, sebut saja elearningyang telah menjadi tuntutan dalam menciptakan learning online. Dalam perkembangannya ternyata elearningini memerlukan faktor pendukung intelligent sehingga dapat menciptakan learning yang cerdas.Intelligent Tutoring System (ITS) atau dapat diartikan sebuah system cerdas pembelajaran menerapkanstrategi pembelajaran secara pedagogical menerangkan urutan content, macam dari feedback yang diterimadan bagaimana materi ajar diberikan atau dijelaskan. Penerapan ITS kedalam system e-learning diharapkanmampu meningkatkan kualitas pembelajaran yang terjadi.Dalam tulisan ini mencoba memberikan sebuah alternatif cara untuk mendukung terciptanya intelligenttutoring system khususnya sistem komunikasi pembelajaran dengan menghadirkan sosok pengajar dalam bentukVirtual Agent Character.Kata Kunci: agent, intelligent learning system, virtual agent character
Rancangan Model Manajemen Pengetahuan untuk Mendukung Proses Pembentukan Tim Proyek Teknologi Informasi Azhari Azhari; Retantyo Wardoyo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Pada makalah ini telah dikaji dan dianalisis pemanfaatan sistem manajemen pengetahuan dalam upayamengembangkan sebuah model pengetahuan anggota tim proyek-proyek untuk perusahaan teknologi informasi.Model manajemen pengetahuan yang dirancang terutama bertujuan untuk menangani atau memfasilitasi prosespenciptaan, pengaksesan, dan pemanfaatan kembali data, informasi atau pengetahuan-pengetahuan dari setiapanggota tim yang terlibat dalam proyek-proyek perusahaan. Secara menyeluruh, rancangan dari arsitektursistem manajemen pengetahuan tim proyek ini terdiri dari komponen-komponen master data proyek dananggota; basisdata karakteristik pengetahuan tim proyek yang berisi kemampuan, keahlian, kemajuan anggotatim; basisdata kriteria penentuan dan penilaian pengetahuan. Kemudian modul-modul agen seperti untukmanajemen askes pengetahuan, proses pemilihan, pembentukan dan pengalokasian posisi anggota tim ke dalamrencana proyek-proyek, serta model evaluasi kinerja tim berdasarkan produktivitas hasil kerja yang dicapai.Hasil utama dari rancangan model manajemen pengetahuan tim proyek ini adalah karakteristikkarakteristikpengetahuan dari semua anggota tim proyek dapat disimpan, bertambah dan berkembangmenyesuaikan menjadi pengetahuan tim lebih terkini. Sehingga dengan penerapan model manajemenpengetahuan tim proyek, pengetahuan-pengetahuan dapat dimanfaatkan secara bersama-sama sesuai denganbentuk pola yang diinginkan. Baik oleh para manager proyek perkantoran, manajer proyek, maupun setiapanggota tim internal dan eksternal. Bagi para manajer proyek perkantoran, pengetahuan tim dimanfaatkanuntuk lebih memudahkan melakukan analisis dan merencanakan pembentukan tim proyek-proyek perusahaanyang semakin lebih handal, sinergis, terpadu, berkualitas, dan seimbang. Terutama mengoptimalkanpemanfaatan ketersediaan sumber daya manusia perusahaan yang terbatas dalam menangani proyek-proyekperusahaan. Di samping itu, model manajemen pengetahuan ini juga dapat diakses oleh seluruh anggota timproyek baik internal maupun eksternal.Kata-kunci: Multiproject Team Building, IT Project Management, Human Resource Management, KnowledgeManagement, Intelligent Agent.
Penggunaan Operator Quantifier Guided Dominance Degree (QGDD) sebagai Certainty Factor pada Clinical Group Decision Support System (CGDSS) Sri Kusumadewi; Sri Hartati; Retantyo Wardoyo; Agus Harjoko
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2006
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Salah satu permasalahan dalam Clinical Group Decision Support System (CDSS) adalah masalah dianosis. Apabila pada proses pengambilan keputusan, suatu CDSS membutuhkan dukungan dari beberapa orang pakar, maka perlu dibentuk suatu Clinical Group Decision Support System (CGDSS). Pada penelitian ini, akan dibangun suatu model basis pengetahuan berbasis aturan pada CGDSS dengan format preferensi yang diberikan oleh setiap pengambil keputusan berbentuk ordered vectors. Operator Ordered Weighted Averaging (OWA) digunakan untuk melakukan agregasi preferensi yang diberikan oleh setiap pengambil keputusan, dengan menggunakan quantifier fuzzy, ”most”. Konsistensi informasi pada matriks agregasi dilakukan sesuai dengan batasan-batasan yang diberikan pada relasi preferensi fuzzy. Proses perankingan untuk menentukan nilai kinerja setiap alternatif dilakukan dengan menggunakan operator Quantifier Guided Dominance Degree (QGDD). Hasil perankingan sebagai nilai kinerja alternatif akan digunakan sebagai certainty factor (CF) untuk setiap aturan pada basis pengetahuan.Kata kunci: Clinical Group Decision Support System, Ordered Weighted Averaging, Quantifier Guided Dominance Degree
KAJIAN MODEL DAN PROTOTIPE SCHEMA MATCHING (Studi untuk Menemukan Peluang Pengembangan Model dan Prototipe Baru) Edhy Sutanta; Retantyo Wardoyo; Khabib Mustofa; Edi Winarko
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2015
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Abstract—Schema matching is critical problem within manyapplications to integration of data / information, to achieveinteroperability, and other cases caused by schematic heterogeneity.Models and the schema matching methods evolved from manualway on a specific domain, leading to a new models and methodsthat are semi-automatic and more general, so it is able to effectivelydirect the user within generate a mapping among elements of twothe schema or ontologies better. This paper is a summary ofliterature review on research and publication on models, methods,and prototypes on schema matching within the last 25 years todescribe the progress of and research opportunities on a newmodels, methods, and prototypes.Keywords—model, hybrid model, prototipe, schema matching
Oversampling Approach Using Radius-SMOTE for Imbalance Electroencephalography Datasets Retantyo Wardoyo; I Made Agus Wirawan; I Gede Angga Pradipta
Emerging Science Journal Vol 6, No 2 (2022): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-02-013

Abstract

Several studies related to emotion recognition based on Electroencephalogram signals have been carried out in feature extraction, feature representation, and classification. However, emotion recognition is strongly influenced by the distribution or balance of Electroencephalogram data. On the other hand, the limited data obtained significantly affects the imbalance condition of the resulting Electroencephalogram signal data. It has an impact on the low accuracy of emotion recognition. Therefore, based on these problems, the contribution of this research is to propose the Radius SMOTE method to overcome the imbalance of the DEAP dataset in the emotion recognition process. In addition to the EEG data oversampling process, there are several vital processes in emotion recognition based on EEG signals, including the feature extraction process and the emotion classification process. This study uses the Differential Entropy (DE) method in the EEG feature extraction process. The classification process in this study compares two classification methods, namely the Decision Tree method and the Convolutional Neural Network method. Based on the classification process using the Decision Tree method, the application of oversampling with the Radius SMOTE method resulted in the accuracy of recognizing arousal and valence emotions of 78.78% and 75.14%, respectively. Meanwhile, the Convolutional Neural Network method can accurately identify the arousal and valence emotions of 82.10% and 78.99%, respectively. Doi: 10.28991/ESJ-2022-06-02-013 Full Text: PDF
SISTEM ONTOLOGI E-LEARNING BERBASIS SEMANTIC WEB Bernard Renaldy Suteja; Suryo Guritno; Retantyo Wardoyo; Ahmad Ashari
Jurnal Ilmu Komputer dan Informasi Vol 2, No 1 (2009): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.058 KB) | DOI: 10.21609/jiki.v2i1.120

Abstract

E-learning content being a barrier for e-learning is no longer true on todays Internet. The current concerns are how to effectively annotate and organize the available content (both textual and non-textual) to facilitate effective sharing, reusability and customization. In this paper, we explain a component-oriented approach to organize content in an ontology. We also illustrate our 3-tier e-learning content management architecture and relevant interfaces. We use a simple yet intuitive example to successfully demonstrate the current working prototype which is capable of compiling personalized course materials. The e-learning system explained here uses the said ontology.
Goal-Oriented Requirements Engineering: State of the Art and Research Trend Rosa Delima; Retantyo Wardoyo; Khabib Mustofa
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1062.134 KB) | DOI: 10.30595/juita.v9i1.9827

Abstract

The Goal-Oriented Requirements Engineering (GORE) is one approach that is widely used for the early stages of software development. This method continues to develop in the last three decades. In this paper, a literature study is conducted to determine the GORE state of the art. The study begins with a Systematic Literature Review (SLR) was conducted to determine the research trend in the last five years. This study reviewed 126 papers published from 2016 to 2020.  The research continues with the author's search for scientific articles about GORE. There are 26 authors who actively publish GORE research results. Twenty-six authors were grouped into seven groups based on their relation or co-authoring scientific articles. An in-depth study of each group resulted in a holistic mapping of GORE research.  Based on the analysis, it is known that most research focuses on improving GORE for an automated and reliable RE process, developing new models/frameworks/methods originating from GORE, and implementing GORE for the RE process. This paper contributes to a holistic mapping of the GORE approach. Through this study, it is known the various studies that are being carried out and research opportunities to increase automation in the entire RE process.
Integrated AHP, Profile Matching, and TOPSIS for selecting type of goats based on environmental and financial criteria Clara Hetty Primasari; Retantyo Wardoyo; Anny Kartika Sari
International Journal of Advances in Intelligent Informatics Vol 4, No 1 (2018): March 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i1.105

Abstract

Goat farm businessman should considered environmental and financial criteria in breeding their commodities. The environmental factors are temperature, humidity, rain intensity, and altitude. For financial criteria, used several sub criteria i.e NPV (Net Present Value), ROI (Return On Investment), BCR (Benefit Cost Ratio), PBP (Payback Period), and BEP (Break Event Point) to determine financial feasibility. This research aims to develop a decision support system for selecting type of goat to breed by combining AHP, Profile Matching, and TOPSIS. AHP method was used for calculating the weight, Profile Matching for environment suitability evaluation, and TOPSIS for producing a valid decision that represents the goat expert's decision. The result showed that three methods can be integrated, and an experimental results which was validated by expert show that Bligon goat had the highest preference value (0.8835847). This can be concluded that DSS decision was valid and it successfully represented expert’s consideration.
An Implementation of Catmap-Rijndael (AES) Algorithm For Image Security (Case Study on A Software For Making Students Card At Universitas Jenderal Soedirman) Bangun Wijayanto; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 1 (2011): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.1995

Abstract

Abstract— The function of image encryption is to transform known have that meaning to images that cannot be read or irregular images in order to security. Storing the image data in local computer system will bring some risks on the image security.The aim of this research is to construct an image encryption system based on Catmap-Rijndael algorithm. The system is implemented on a software form making students card at Universitas Jenderal Soedirman. The result shows that the combination of Catmap-Rijndael algorithm on bitmap image 200x200 pixel by using 3 times repetition of the Catmap algorithm (with parameter a=1 and b=1) can overcome the problem of textured of the object that caused by base colour on the image and uniform histogram of the encrypted image in short time process.Keywords— Rijndael, AES, Catmap, image security, students card.
Co-Authors Abdul Wahid Adiananda Adiananda Agus Harjoko Ahmad Ashari Ahmad Asharit Aina Musdholifah Aina Musdholifah Albert Dian Sano Anastasya Latubessy Andeka Rocky Tanaamah Andika Kurnia Adi Pradana Andriyani, Widyastuti Anny Kartika Sari Arief Kelik Nugroho, Arief Kelik Azhari Azhari Azhari Azhari Azhari Subanar Bambang Sugiantoro Bambang Sugiantoro Bangun Wijayanto Bernard Renaldy Suteja Budiarsa, Rahmat Christian Dwi Suhendra Clara Hetty Primasari Danang Lelono Decky Hendarsyah Desyandri Desyandri Djemari Mardapi Doni Setyawan E. Elsa Herdiana Murhandarwati Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Edi Winarko Edi Winarko Enny Itje Sela Gede Angga Pradipta, Gede Angga Hananto, Andhika Rafi Hardyanto Soebono Herri Setiawan Herri Setiawan I Made Agus Wirawan I Made Agus Wirawan Ida Ayu Putu Sri Widnyani Istiyanto, Jazi Eko Jazi Eko Istiyanto Jazi Eko Istiyanto Jazi Eko Istiyanto Joan Angelina Widians, Joan Angelina Khabib Mustofa Khairunnisa Khairunnisa Kusrini Kusrini Lausu, Suwandi Lilik Sumaryanti M Mustakim M.Cs S.Kom I Made Agus Wirawan . Moh Edi Wibowo Muhamad Munawar Yusro Muhammad Fakhrurrifqi Muhammad Mukharir Munakhir Mudjosemedi Mustakim, M Nola Ritha NUR HASANAH Peggi Sri Astuti Pratama, Kharis Suryandaru Purba, Susi Eva Maria Purwo Santoso Putri Elfa Mas`udia Rahman Erama Rahmat Budiarsa Ramos Somya Rika Rosnelly Rosa Delima Rosihan Rosihan, Rosihan Santoso, Purwo Silmina, Esi Putri Sri Andayani Sri Hartati Sri Hartati Sri Hartati Sri Hartati Sri Kusrohmaniah, Sri Sri Kusumadewi Sri Mulyana Subahar, Subahar Subanar . Suryo Guritno Suryo Guritno Suryo Guritno Tempola, Firman Tenia Wahyuningrum Wenty Dwi Yuniarti, Wenty Dwi Wibowo, Moh Edi Winarko, Edi Wiwiet Herulambang Yayi Suryo Prabandari