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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

Author-ID : 359720

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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LOGIKA FUZZY SWARM INTELLIGENCE BEE COLONY UNTUK MEMINIMALISASI KEMACETAN TRANSPORTASI Andriyani, Widyastuti; Wardoyo, Retantyo
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 5 No 2 Februari 2013
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v5i2.553

This paper uses the concept of fuzzy logics to integrate with bee systems to solve inexact model problems. As an example, in this paper the integration will be used to minimalise the congestion of transportation problems. Bee systems face many problems for decision making when seeking for the best solution, some of them: to determine the next solution components to be added to partial solution, to determine which partial solutions should be left or not, and to determine the same partial solutions without recruiting friends from the same nest. The majority of these selection models is based on the assumption that the decision makers have the ability of processing perfect information, and are always acting rationally and exactly. However, in certain conditions, information is not exact, but is still realistic.

Survey: Models and Prototypes of Schema Matching Edhy Sutanta; Retantyo Wardoyo; Khabib Mustofa; Edi Winarko
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Schema matching is critical problem within many applications to integration of data/information, to achieve interoperability, and other cases caused by schematic heterogeneity. Schema matching evolved from manual way on a specific domain, leading to a new models and methods that are semi-automatic and more general, so it is able to effectively direct the user within generate a mapping among elements of two the schema or ontologies better. This paper is a summary of literature review on models and prototypes on schema matching within the last 25 years to describe the progress of and research chalenge and opportunities on a new models, methods, and/or prototypes.

Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening Enny Itje Sela; Sri Hartati; Agus Harjoko; Retantyo Wardoyo; Munakhir Mudjosemedi
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 1: February 2015
Publisher : Institute of Advanced Engineering and Science

This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.

Decision-Making Model for Student Assessment by Unifying Numerical and Linguistic Data Sri Andayani; Sri Hartati; Retantyo Wardoyo; Djemari Mardapi
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Learning assessment deals with the process of making a decision on the quality or performance of student achievement in a number of competency standards. In the process, teacher’s preferences are provided through both test and non-test, generally in a numeric value, from which the final results are then converted into letters or linguistic value. In the proposed model, linguistic variables are exploited as a form of teacher’s preferences in non-test techniques. Consequently, the assessment data set will consist of numerical and linguistic information, so it requires a method to unify them to obtain the final value. A model that uses the 2-tuple linguistic approach and based on matrix operations is proposed to solve the problem. This study proposed a new procedure that consists of four stages: preprocessing, transformation, aggregation and exploitation. The final result is presented in 2-tuple linguistic representation and its equivalent number, accompanied by a description of the achievement of each competency. The α value of 2-tuple linguistic in the final result and in the description of each competency becomes meaningful information that can be interpreted as a comparative ability one student has related to other students, and shows how much potential is achieved to reach higher ranks. The proposed model contributes to enrich the learning assessment techniques, since the exploitation of linguistic variable as representation preferences provides flexible space for teachers in their assessments. Moreover, using the result with respect to students’ levels of each competency, students’ mastery of each attribute can be diagnosed and their progress of learning can be estimated.

The challenges of emotion recognition methods based on electroencephalogram signals: a literature review I Made Agus Wirawan; Retantyo Wardoyo; Danang Lelono
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1508-1519

Electroencephalogram (EEG) signals in recognizing emotions have several advantages. Still, the success of this study, however, is strongly influenced by: i) the distribution of the data used, ii) consider of differences in participant characteristics, and iii) consider the characteristics of the EEG signals. In response to these issues, this study will examine three important points that affect the success of emotion recognition packaged in several research questions: i) What factors need to be considered to generate and distribute EEG data?, ii) How can EEG signals be generated with consideration of differences in participant characteristics?, and iii) How do EEG signals with characteristics exist among its features for emotion recognition? The results, therefore, indicate some important challenges to be studied further in EEG signals-based emotion recognition research. These include i) determine robust methods for imbalanced EEG signals data, ii) determine the appropriate smoothing method to eliminate disturbances on the baseline signals, iii) determine the best baseline reduction methods to reduce the differences in the characteristics of the participants on the EEG signals, iv) determine the robust architecture of the capsule network method to overcome the loss of knowledge information and apply it in more diverse data set.

University Website Quality Ranking using Logarithmic Fuzzy Preference Programming Retantyo Wardoyo; Tenia Wahyuningrum
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.

A Hybrid Model Schema Matching Using Constraint-Based and Instance-Based Edhy Sutanta; Retantyo Wardoyo; Khabib Mustofa; Edi Winarko
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Schema matching is an important process in the Enterprise Information Integration (EII) which is at the level of the back end to solve the problems due to the schematic heterogeneity. This paper is a summary of preliminary result work of the model development stage as part of research on the development of models and prototype of hybrid schema matching that combines two methods, namely constraint-based and instance-based. The discussion includes a general description of the proposed models and the development of models, start from requirement analysis, data type conversion, matching mechanism, database support, constraints and instance extraction, matching and compute the similarity, preliminary result, user verification, verified result, dataset for testing, as well as the performance measurement. Based on result experiment on 36 datasets of heterogeneous RDBMS, it obtained the highest P value is 100.00% while the lowest is 71.43%; The highest R value is 100.00% while the lowest is 75.00%; and F-Measure highest value is 100.00% while the lowest is 81.48%. Unsuccessful matching on the model still happens, including use of an id attribute with data type as autoincrement; using codes that are defined in the same way but different meanings; and if encountered in common instance with the same definition but different meaning.

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

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.

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 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 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

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