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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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JAVA VIRTUAL MACHINE PADA SISTEM OPERASI WINDOWS XP UNTUK MENGEKSEKUSI SISTEM PENJUALAN Rika Rosnelly; Retantyo Wardoyo
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 5 (2011): Information System and Application
Publisher : Jurusan Teknik Informatika

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

Interpreter bytecode Java biasa disebut JVM (Java Virtual Machine) yang disediakan oleh Sun Microsystem untuk setiap platform. Dengan teknik ini program yang didistribusikan merupakan hasil kompilasi .class yang bentuknya sama untuk setiap platform. Kemudian nanti setelah .class ini hendak dijalankan maka barulah diinterpretasikan oleh masing-masing JVM yg ada pada setiap platform. Dalam makalah ini menjelaskan JVM menterjemahkan beberapa instruksi pada sistem penjualan menggunakan aplikasi NetBeans IDE 7.0 pada sistem operasi Windows XP dimana pada aplikasi tersebut terdapat Java Virtual Machine

Perancangan Sistem Pendukung Keputusan Seleksi Asisten Dosen Menggunakan Kombinasi Metode Profile Matching dan TOPSIS Berbasis Web Service Ramos Somya; Retantyo Wardoyo
Khazanah Informatika Vol. 5 No. 1 June 2019
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i1.7924

Seleksi asisten dosen di Fakultas Teknologi Informasi Universitas Kristen Satya Wacana (FTI UKSW) dilakukan setiap awal semester. Proses seleksi tersebut mengalami beberapa kendala, antara lain mahasiswa harus datang langsung ke kantor Tata Usaha untuk melakukan pendaftaran yang ditulis di form pendaftaran. Form pendaftaran juga pernah hilang sehingga harus dilakukan pendaftaran ulang. Proses seleksi dilakukan oleh koordinator dosen matakuliah dengan mengadakan tes atau wawancara untuk mencari beberapa informasi untuk dijadikan pertimbangan dalam memilih asisten dosen. Proses seleksi memakan waktu yang lama, sehingga menyebabkan kegiatan praktikum menjadi terlambat untuk dimulai. Pada penelitian ini dibuat pemodelan Sistem Pendukung Keputusan (SPK) menggunakan metode TOPSIS dan Profile Matching berbasis teknologi Web Service untuk mengatasi masalah dalam proses pendaftaran dan seleksi asisten dosen di FTI UKSW. Hasil akhir perhitungan menggunakan metode TOPSIS dan Profile Matching ini berbentuk ranking yang dapat digunakan untuk membantu dosen koordinator matakuliah dalam menentukan calon asisten dosen yang akan diterima.

The Use of KPI in Group Decision Support Model of ICT Projects Performance Evaluation Herri Setiawan; Jazi Eko Istiyanto; Retantyo Wardoyo; Purwo Santoso
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

This paper proposes The Use of KPI in Group Decision Support System Model of ICT Projects Evaluation at Local Government Agency in Indonesia. This study is a part of the attempt to improve local government performance in Indonesia, especially for Local Government Agencies (SKPD) involved in Decision Support System (SPK), which should be optimized through Information Technology. Different from the prior research, in this paper we try to describe how to determine KPI in an ICT project at local government agency and the applicable evaluation model. Generally, this paper will discuss how to make an performance indicator, so that the output of an ICT project product can result the expected outcome, benefit, and impact. Furthermore, it will be explained in regard to the Group Decision Support System (GDSS) evaluation model by considering the applicable legislation aspect, which facilitates decision makers such as: Government Institution Executives, ICT Managers Unit, Business Process Owner Unit, and Society represented by Regional House of Representative, to give assessment or evaluation upon the implementation of ICT Projects at Local Government Agency. As the research support, survey and interview have been conducted to stakeholders in decision-making. The proposed model is expected to be able to give ideas and solutions in evaluating ICT Projects done at local government agencies in Indonesia.

APPLICATION FOR MOBILE AGENT TO ACCESS MYSQL Bambang Sugiantoro; Retantyo Wardoyo; Sri Hartati; Jazi Eko Istiyanto
IJID (International Journal on Informatics for Development) Vol. 1 No. 2 (2012): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Availability of information is increasing rapidly, the method for encoding and storage of information also increased. The number of sources of information brings several problems, among them about how to combine the distributed data storage and different. Information on an organization or company is usually stored in separate locations and different formats. When there is an increase in storage capacity and the amount of information search costs, the company faced with an abundance amount of data. System development methodology used is Rapid Application Development (RAD) with a development framework Guidlines for Rapid Application Engineering (GRAPPLE). The software used in building this application is Borland Jbuilder 9. Rational Rose 2000 is used for the analysis and design using Unified Modeling Language (UML). Mysql server is a type of database to be accessed on each operating system. Operating system used in this study is Windows XP and Linux Fedora Core. This application was developed with aglets, which is one of software for building mobile agent applications.

Distributed Database Using Mobile Agent Bambang Sugiantoro; Retantyo Wardoyo; Sri Hartati; Jazi Eko Istiyanto
IJID (International Journal on Informatics for Development) Vol. 1 No. 1 (2012): IJID May
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

The number of sources of information brings several problems, among them about how to combine the distributed data storage and different. Information on an organization or company is usually stored in separate locations and different formats. When there is an increase in storage capacity and the amount of information search costs, the company faced with an abundance amount of data. System development methodology used is object oriented design with a development framework

Classification of plasmodium falciparum based on textural and morphological features Doni Setyawan; Retantyo Wardoyo; Moh Edi Wibowo; E. Elsa Herdiana Murhandarwati
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5036-5048

Malaria is a disease caused by plasmodium parasites transmitted through the bites of female anopheles-mosquito that infect the human red blood cell (RBC). The standard malaria diagnosis is based on manual examination of a thick and thin blood smear, which heavily depends on the microscopist experience. This study proposed a system that can identify the life stages of plasmodium falciparum in human RBC. The image preprocessing process was done by illumination correction using gray world assumption, contrast enhancement using shadow correction, extraction of saturation component, and noise filtering. The segmentation process was applied using Otsuthresholding and morphological operation. The test results showed that the use of artificial neural network (ANN) using a combination of texture and morphological features gives better results when compared to the use of only texture or morphology features. The results showed that the proposed feature achieved an accuracy of 82.67%, a sensitivity of 82.18%, and a specificity of 94.17%, thus improving decision-making for malaria diagnosis.

Modified Weighted Mean Filter to Improve the Baseline Reduction Approach for Emotion Recognition I Made Agus Wirawan; Retantyo Wardoyo; Danang Lelono; Sri Kusrohmaniah
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-03

Participants' emotional reactions are strongly influenced by several factors such as personality traits, intellectual abilities, and gender. Several studies have examined the baseline reduction approach for emotion recognition using electroencephalogram signal patterns containing external and internal interferences, which prevented it from representing participants’ neutral state. Therefore, this study proposes two solutions to overcome this problem. Firstly, it offers a modified weighted mean filter method to eliminate the interference of the electroencephalogram baseline signal. Secondly, it determines an appropriate baseline reduction method to characterize emotional reactions after the smoothing process. Data collected from four scenarios conducted on three datasets was used to reduce the interference and amplitude of the electroencephalogram signals. The result showed that the smoothing process can eliminate interference and lower the signal's amplitude. Based on the three baseline reduction methods, the Relative Difference method is appropriate for characterizing emotional reactions in different electroencephalogram signal patterns and has higher accuracy. Based on testing on the DEAP dataset, these proposed methods achieved accuracies of 97.14, 99.70, and 96.70% for the four categories of emotions, the two categories of arousal, and the two categories of valence, respectively. Furthermore, on the DREAMER dataset, these proposed methods achieved accuracies of 89.71, 97.63, and 96.58% for the four categories of emotions, the two categories of arousal, and the two categories of valence, respectively. Finally, on the AMIGOS dataset, these proposed methods achieved accuracies of 99.59, 98.20, and 99.96% for the four categories of emotions, the two categories of arousal, and the two categories of valence, respectively. Doi: 10.28991/ESJ-2022-06-06-03 Full Text: PDF

Continuous Capsule Network Method for Improving Electroencephalogram-Based Emotion Recognition I Made Agus Wirawan; Retantyo Wardoyo; Danang Lelono; Sri Kusrohmaniah
Emerging Science Journal Vol 7, No 1 (2023): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-01-09

The convolution process in the Capsule Network method can result in a loss of spatial data from the Electroencephalogram signal, despite its ability to characterize spatial information from Electroencephalogram signals. Therefore, this study applied the Continuous Capsule Network method to overcome problems associated with emotion recognition based on Electroencephalogram signals using the optimal architecture of the (1) 1st, 2nd, 3rd, and 4th Continuous Convolution layers with values of 64, 128, 256, and 64, respectively, and (2) kernel sizes of 2×2×4, 2×2×64, and 2×2×128 for the 1st, 2nd, and 3rd Continuous Convolution layers, and 1×1×256 for the 4th. Several methods were also used to support the Continuous Capsule Network process, such as the Differential Entropy and 3D Cube methods for the feature extraction and representation processes. These methods were chosen based on their ability to characterize spatial and low-frequency information from Electroencephalogram signals. By testing the DEAP dataset, these proposed methods achieved accuracies of 91.35, 93.67, and 92.82% for the four categories of emotions, two categories of arousal, and valence, respectively. Furthermore, on the DREAMER dataset, these proposed methods achieved accuracies of 94.23, 96.66, and 96.05% for the four categories of emotions, the two categories of arousal, and valence, respectively. Finally, on the AMIGOS dataset, these proposed methods achieved accuracies of 96.20, 97.96, and 97.32% for the four categories of emotions, the two categories of arousal, and valence, respectively. Doi: 10.28991/ESJ-2023-07-01-09 Full Text: PDF

Requirements Conflict Detection and Resolution in AREM Using Intelligence System Approach Rosa Delima; Retantyo Wardoyo; Khabib Mustofa
JUITA : Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Requirements engineering (RE) is the process of defining user requirements that are used as the main reference in the system development process. The quality of the RE results is measured based on the consistency and completeness of the requirements. The collection of requirements from multiple stakeholders can cause requirements conflict and have an impact on the inconsistency and incompleteness of the resulting requirements model. In this study, a method for automatic conflict detection and resolution in the Automatic Requirements Engineering Model (AREM) was developed. AREM is a model that automates the process of elicitation, analysis, validation, and requirements specification. The requirement conflict detection method was developed using an intelligent agent approach combined with a Weighted Product approach. Meanwhile, Conflict resolution is made automatically using a rule-based model and clustering method. Testing the ability of the method to detect and resolve conflicting requirements was carried out through five data sets of requirements from five system development projects. Based on the test results, it is known that the system is able to produce a set of objects that have conflicts in the data requirements. For conflict resolution, experiments were conducted with five conflict resolution scenarios. The experimental results show that the method is able to resolve conflicts by producing the highest completeness value, but the results of conflict resolution also produce a number of soft goals. The success of the method in detecting and resolving conflicts in the model is able to overcome the problem of inconsistencies and incompleteness in the requirements model.

Metode AHP dan Analisis Asosiasi Untuk Menentukan Startling Line-Up Pemain Sepakbola Andika Kurnia Adi Pradana; Retantyo Wardoyo
Jurnal Informatika dan Multimedia Vol. 3 No. 1 (2011): Jurnal Informatika dan Multimedia
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jim.v3i1.373

Seorang pelatih klub sepakbola dalam menentukan starting line-up pemain yang sesuai dengan kondisi dan kemampuan pemain serta formasi yang telah ditetapkan memerlukan suatu sistem pendukung keputusan untuk membantunya dalam pengambilan keputusan dengan lebih cepat, cermat dan menghindari subyektivitas keputusan yang dihasilkan. Untuk itu dibangun suatu sistem pendukung keputusan yang bertujuan membantu pekerjaan pelatih klub sepakbola dalam memutuskan pemain-pemain yang berhak masuk dalam starting line-up melalui proses seleski menggunakan Model AHP dan analisis asosiasi. Model AHP mempunyai kemampuan untuk memecahkan masalah multikriteria yang berdasarkan perbandingan preferensi dari setiap elemen pada hirarki. Dari model AHP ini akan dihasilkan peringkat pemain untuk setiap posisi. Analisis asosiasi merupakan suatu metode uyntuk menemukan aturan asosiatif antara suatu kombinasi item. Di dalam aturan asosiatif akan didapatkan pasangan pemain dari pemain-pemain yang menempati posisi tertinggi di peringkat pemain. Penentuan starting line-up ini menggunakan kombinasi antara peringkat pemain dan aturan asosiatif dengan pola pembagian yang seimbang. Dari hasil pengujian menunjukkan sistem ini dapat membantu pekerjaan pelatih dalam memutuskan pemain-pemain yang berhak masuk dalam starting line-up dengan lebih cepat,c ermat dan lebih efektif.

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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