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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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Implementasi Neural Fuzzy Inference System dan Algoritma Pelatihan Levenberg-Marquardt untuk Prediksi Curah Hujan Nola Ritha; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 10, No 2 (2016): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.15532

Rainfall prediction can be used for various purposes and the accuracy in predicting is important in many ways. In this research, data of rainfall prediction use daily rainfall data from 2013-2014 years at rainfall station in Putussibau, West Kalimantan. Rainfall prediction using four parameters: mean temperature, average humidity, wind speed and mean sea level pressure.This research to determine how performance Neural Fuzzy Inference System with Levenberg-Marquardt training algorithm for rainfall prediction. Fuzzy logic can be used to resolve the linguistic variables used in rule of rainfall. While neural networks have ability to adapt and learning process, due to recognize patterns of data from input need training to prediction. And Levenberg-Marquardt algorithm is used for training because of effectiveness and convergence acceleration.The results showed five models NFIS-LM developed using a variety of membership functions as input obtained that model NFIS-LM with twelve of membership functions and use four inputs, such as mean temperature, average humidity, wind speed and mean sea level pressure gives best results to predict rainfall with values Mean Square Error (MSE) of 0.0262050. When compared with model NN-Backpropagation, NFIS-LM models showed lower accuracy. It is shown from MSE generated where model NN-Backpropagation generate MSE of 0.0167990.

Decision Support System for Laptop Selection Using AHP Method and Profile Matching Muhammad Mukharir; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 3 (2021): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.67811

Laptop is a desktop personal computer (PC) whose dimensions are reduced to increase flexibility in its use. However, the large number of products will make it difficult for consumers to choose a laptop that suits the needs of consumers who want to buy it.The purpose of this research is to help buyers who want to buy laptop products according to their needs by making a Decision Support System (DSS). There are 12 criteria considered in this research, price, processor, RAM capacity, hard disk capacity, SSD capacity, V-RAM capacity, maximum RAM upgrade capacity, laptop weight, screen size, screen type, screen refresh rate, and screen resolution. Choosing a laptop product there is a criterion value of a laptop product and a value of preference criteria from the buyer as a decision maker. Also the criteria values on laptop products have different contributions to the overall value of the laptop product. Thus, the methods used are Analytical Hierarchy Process (AHP), Profile Matching (PM) with linear interpolation, and Simple Addictive Weighting (SAW) to determine the recommended options. Lastly, SPK that has been made will be able to provide recommendations best alternative choices and best suit the needs of buyers for selecting laptop products.

SPK UNTUK MEREKOMENDASIKAN KESESUAIAN LAHAN PADA KOMODITAS TANAMAN PRIORITAS DENGAN PROFILE MATCHING DAN AHP Khairunnisa Khairunnisa; Retantyo Wardoyo
Jurnal Ilmu Komputer Vol 10 No 2 (2017): September 2017
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Penelitian ini dibuat didasarkan pada kebutuhan Kepala Balai Ketahanan Pangan dan Penyuluhan dalam mencari tahu kesesuaian lahan dengan komoditas tanaman pangan yang ada di Kota Bima yang terdiri dari padi, bawang merah, bawang putih dan jagung. Keputusan yang tepat terkait hal tersebut merupakan salah satu faktor penentu dalam meningkatkan sektor pertanian di Kota Bima yang lahan pertanian semakin berkurang akibat pembangunan dimana-mana.Penelitian ini menunjukkan bagaimana SPK dengan metode Profile Matching dan AHP memberikan rekomendasi terhadap prioritas komoditas tanaman pangan untuk suatu lahan. Metode Profile Matching digunakan untuk mencari bobot gap, menentukan nilai kriteria, nilai akhir dan perangkingan sedangkan AHP digunakan untuk melengkapi metode Profile Matching menentukan bobot kriteria dan sub kriteria yang digunakan pada perhitungan nilai kriteria dan nilai akhir, metode AHP juga digunakan untuk mengolah data text dengan melakukan scoring sehingga dapat dihitung nilainya. Interpolasi juga digunakan dalam sistem ini, untuk membantu mencari nilai dari data yang profile ideal tananamannya berupa interval seperti curah hujan, temperatur, topografi dan pH. Interpolasi juga digunakan untuk membantu mencari nilai bobot gap yang nilai gapnya dalam bentuk desimal hasil dari perhitungan scoring data text.Hasil penelitian menunjukkan sistem dapat memberikan rekomendasi komoditas prioritas yang sama dari hasil data yang ada pada BKPP.

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

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

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