Article Per Year (5 Year)
p-Index From 2021 - 2026
4.823
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Pixel : Jurnal Ilmiah Komputer Grafis Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Proceeding SENDI_U Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Universitas Batanghari Jambi JURNAL ILMIAH INFORMATIKA Jurnal Teknoinfo Jurnal Teknik Informatika UNIKA Santo Thomas IKRA-ITH ABDIMAS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Building of Informatics, Technology and Science Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JINAV: Journal of Information and Visualization INTELEKTIVA Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Applied Sciences, Management and Engineering Technology (JASMET) Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Waradin Jurnal INFOTEL Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat
Edy Winarno
Universitas Stikubank Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 59 Documents
Search

 2   3   4   5   6 
Penerapan Metode MABAC dengan Pembobotan ROC Dalam Sistem Pendukung Keputusan Pemilihan Pengajar dengan Kinerja Terbaik Kraugusteeliana, Kraugusteeliana; Zen, Agustian; Suryani, Suryani; Alam, Sitti Nur; Winarno, Edy
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3000

Abstract

Selection of the best teacher is one of the problems in a decision making according to semi-structured criteria. In this research, the decision support system explains how the process of selecting alternative teachers who have the best performance in elementary schools applies the MABAC method and weights it using the Rank Order Centroid (ROC) method. The use of this method can solve the problem of determining the best teacher that occurs in elementary schools. The final result of completing the method will produce the highest ranking value which will be determined to be the highest alternative. The data used in this study were 10 alternative teacher data using 5 criteria, resulting in 1 highest ranking of the 10 alternatives obtained by alternative 1 named Servin Manullang with a value of 0.6086 as a recommendation for the teacher with the best performance
SOCIAL NETWORK ANALYSIS UNTUK MENGIDENTIFIKASI AKUN KUNCI DALAM PERCAKAPAN CAPRES DI TWITTER Amin, Fatkhul; Al Amin, Imam Husni; Winarno, Edy; Wibisono, Setyawan; Cahyono, Taufiq Dwi
Jurnal Teknoinfo Vol 18, No 2 (2024): Juli 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i2.3620

Abstract

Studi ini bertujuan untuk mengeksplorasi percakapan tentang calon presiden dari data Twitter (X) menggunakan analisis jaringan sosial. Metode analisis meliputi degree centrality, betweenness centrality, dan closeness centrality untuk mengidentifikasi akun-akun sentral dalam diskusi tentang calon presiden tertentu. Dataset Twitter (X) diproses dan dianalisis menggunakan alat analisis jaringan sosial. Visualisasi jaringan dilakukan dengan Gephi 0.10.1 untuk memahami struktur interaksi antar akun. Dalam contoh studi yang memfokuskan pada pasangan "Anies Muhaimin," analisis menunjukkan bahwa akun-akun seperti @kba_news dan @PeraWat81282560 memiliki degree centrality yang tinggi, menandakan keterlibatan yang signifikan dalam menyebarkan informasi dan mempertahankan koneksi langsung dengan akun-akun lain dalam jaringan. Sementara itu, untuk kata kunci "Ganjar Mahfud" dan "Prabowo Gibran," ditemukan bahwa terdapat akun-akun dominan dengan peran penting dalam mengoordinasikan dan memengaruhi percakapan. Implikasi dari temuan ini menyoroti bagaimana struktur jaringan sosial memengaruhi penyebaran informasi politik di media sosial. Studi ini memberikan wawasan tentang dinamika interaksi antar akun dalam konteks kampanye pemilihan presiden, serta pentingnya pemahaman tentang pengaruh akun-akun sentral dalam mempengaruhi opini publik. Secara kesimpulan, analisis jaringan sosial Twitter (X) memberikan pemahaman mendalam tentang bagaimana informasi politik tersebar dan dipengaruhi dalam konteks percakapan tentang calon presiden. Temuan ini relevan untuk strategi kampanye politik dan manajemen reputasi di era digital.
Pengembangan Chatbot Berbasis Dialogflow Dengan Metode Natural Language Processing Untuk Menyediakan Informasi Mengenai Stunting Melalui Platform Telegram Rahardika, Anindyta Fernanda; Winarno, Edy
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.732

Abstract

Stunting is a serious problem in children's health in Indonesia, so more in-depth knowledge is needed. Based on the results of the 2019 Ministry of Communication and Information survey, it shows that the Indonesian people have a poor understanding of stunting. A system is needed that can make it easy for the public to get stunting information accurately and quickly, so this research proposes the development of a dialogue-based chatbot that is integrated with the Telegram platform, which can be used as a step to increase public accessibility regarding stunting information. Chatbots are able to effectively assist humans in providing automatic answers to questions from various topics. This research aims to provide stunting information to the public and provide access to stunting information easily and quickly. The stunting information chatbot was developed using the Dialogflow platform by applying natural language processing (NLP) which is integrated with the Telegram application. The chatbot testing results using the black box test obtained an accuracy of 90%, which shows that the output provided by the chatbot is appropriate. The test results using the user experience questionnaire (UEQ) showed that the attractiveness score was 1.80, clarity was 1.17, efficiency was 1.81, decision was 1.74, stimulation was 1.59 and novelty was 1.14.
Enhanced multi-lingual Twitter sentiment analysis using hyperparameter tuning k-nearest neighbors Nugroho, Kristiawan; Winarno, Edy; Setiadi, De Rosal Ignatius Moses; Farooq, Omar
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7265

Abstract

Social media is a medium that is often used by someone to express themselves. These various problems on social media have encouraged research in sentiment analysis to become one of the most popular research fields. Various methods are used in sentiment analysis research, ranging from classic machine learning (ML) to deep learning. Researchers nowadays often use deep learning methods in sentiment analysis research because they have advantages in processing large amounts of data and providing high accuracy. However, deep learning also has limitations on the longer computational side due to the complexity of its network architecture. K-nearest neighbor (KNN) is a robust ML method but does not yet provide high-accuracy results in multi-lingual sentiment analysis research, so a hyperparameter tuning KNN approach is proposed. The results showed that using the proposed method, the accuracy level improved to 98.37%, and the classification error (CE) improved to 1.63%. The model performed better than other ML and even deep learning methods. The results of this study indicate that KNN using hyperparameter tuning is a method that contributes to the sentiment analysis classification model using the Twitter dataset.
Pengenalan Wajah Dengan Face-Api.js Berbasis CNN dan Geolokasi Menggunakan Equirectangular Approximation Fadli, Bimo Akbar; Winarno, Edy
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1398

Abstract

Computer vision usag on an attendance system role is to make sure that the attendance cannot be done by another person. Besides that, the attendance system could also use  geolocation to determine the attendee location and the supposed attendance location. These process takes a considerable amount of server resource. To reduce the load of a server, a client side process could be used. Face recognition is done by using face-api.js which is a javascript module build on top of tensoflow.js core that implements some CNN (Convolutional Neural Networks) to detect, recognize, and extract feature of a face, that is optimized for website and mobile device. For the calculation of geolocation coordinate an equirectangular approximation formula is used. The accuracy of face recognition ranges between 93% to 97% and the geolocation calculation takes around 0.008300000003ms to complete.Key words: Face Detection; Geolocation; Tensorflow; Attendance   AbstrakPenggunaan computer vision pada sistem absensi berperan sebagai pengaman untuk memastikan bahwa absensi tidak dapat diwakilkan oleh orang lain. Selain itu pada sistem absensi juga dapat ditambahkan sistem geolokasi untuk menentukan jarak pelaku dari jarak lokasi yang sudah ditentukan. Proses-proses tersebut memakan sumber daya besar pada server. Dengan mendelegasikan proses tersebut kepada klien, beban serer akan berkurang secara signifikan. Pengenalan wajah dilakukan dengan menerapkan face-api.js yang merupakan sebuah modul javascript yang dibangun diatas tensorflow.js core, yang mengimplementasikan beberapa CNN (Convolutional Neural Networks) untuk melakukan deteksi, pengenalan, dan deteksi fitur-fitur wajah, yang dioptimalkan untuk web dan perangkat mobile. Untuk geolokasi pengukuran jarak koordinat, digunakan formula equirectangular approximation. Dari penerapan pengenalan wajah dan geolokasi tersebut didapatkan akurasi pengenalan wajah berkisar antara 93% hingga 97% dan geolokasi menggunakan equirectangular approximation berjalan dalam waktu rata-rata 0.008300000003ms.Kata kunci: Pengenalan wajah; Geolokasi; Tensorflow; Presensi
Educational Game Based Role Playing Games with Finite State Machine Method Winarno, Edy; Wijayanti, Tri Cicik; Hadikurniawati, Wiwien; EngMarkiano Solissa, Everhard
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.574

Abstract

Playing games is one of the activities in great demand by the elderly, young, and children, whose use is generally only to fill spare time, get rid of boredom, and for fun. Therefore in this final project, an educational game based on Role Playing Game will be developed, which is helpful for learning by applying ten-finger typing education because, until now, learning has only been done through books. Delphi 7 is used in its manufacture. The Delphi language is a programming language that can be configured in such a way that it can work with other devices to form a control system—and apply the Finite State Machine method to process the gameplay control flow, which consists of 3 levels where the player will complete the answers for each class to be able to proceed to the next level. The results of this game can be used as learning media for children, and they can learn while playing to add knowledge in the field of typing. With these benefits, it is hoped that later games can be developed and applied among students. A game uses electronics and is entertainment in the form of multimedia that is made as attractive as possible so that players can get something that there is new satisfaction. In the Big Indonesian Dictionary, an online game is used to play goods or something that is played. The growth of the game industry is developing, especially in various types of games which include Maze Games, Board Games, Card Games, Battle Card Games, Quiz Games, Puzzle Games, Shooting Games, First Person Shooting (FPS), Side Scrolling Games, Fighting Game, Racing Game, Simulation, Strategy Game, Role Playing Game (RPG), Adventure Game, Sports Game, and Edutainment Game.
Perbandingan Algoritma Klasifikasi Data Mining Dalam Diagnosa Penyakit Arteri Koroner Sudarsono, Bernadus Gunawan; Winarno, Edy
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5981

Abstract

Coronary artery disease is one of the diseases that often attacks humans. The cause of this disease is due to narrowing or blockage of the coronary blood vessels that supply blood to the heart. The diagnosis of coronary artery disease by medical personnel has so far been constrained by the limited number of doctors, in terms of the number of doctors and time, because the number of specialist doctors is limited. The limited number of doctors causes several difficulties for medical personnel who diagnose the patient's disease and over time can become a serious problem. Information technology that can help medical personnel is by applying data mining techniques which are techniques to help diagnose coronary artery disease. Data mining can identify patterns or relationships between disease symptoms and diagnostic results, so that patients with a high risk of developing the disease can be identified. The Naïve Bayes algorithm is one of the algorithms of the Data Mining classification technique, which is based on Bayes' theorem. The C4.5 algorithm is one of the algorithms of the Data Mining classification technique, which uses decision trees in classifying data. Algorithm comparisons are carried out in order to obtain the appropriate or best algorithm for use in diagnosing a disease. The comparison process of the Naïve Bayes algorithm and the C.45 algorithm in diagnosing coronary artery disease, obtained the best algorithm results based on the largest percentage value, namely the C4.5 algorithm, with a value of 46.9%.
Penerapan Metode COCOSO dan TOPSIS untuk Pemilihan Lokasi Pembangunan Perumahan Kota Semarang Winarno, Edy; Dwi Cahyono, Taufiq
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1567

Abstract

One of the important and complicated stages in the construction project development process is selecting the location to be built. Project success and customer satisfaction will be influenced by good location selection. It is very important to use a Decision Support System (DSS) to help make more organized and informed decisions in situations like this. This is an SPK proposal for a housing development location that combines the COCOSO (Combined Compromise Solution) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. The COCOSO method, which considers several conflicting criteria, was used to resolve doubts and site selection problems. Additionally, locations are ranked using TOPSIS based on how close they are to the ideal solution. Identify important factors that influence location selection including accessibility, land prices, infrastructure, and environmental factors. Next, assessment and ranking are carried out using COCOSO to provide the best compromise solution, and the results are evaluated using TOPSIS to determine the best location. A fictional case study is used to test system performance. Potential housing location data is used as an example. The simulation results show that the proposed SPK can provide complete and reliable location recommendations for housing developers. COCOSO and TOPSIS integrated in this SPK help decision makers choose locations by considering trade-offs between various criteria and choosing the location closest to the best solution. This SPK can help developers make strategic decisions about housing development locations.
OPTIMASI PENJUALAN UNTUK MENINGKATKAN PROFITABILITAS DI PT MUTIARA COLLECTION SLEMAN, YOGYAKARTA MARATUN NAFIAH; DIAS AYU LISTYORINI; DHINI AMINATI NURHASANAH; SITI AISYAH; EDY WINARNO; KHUSNUL WIBI PRASETYO; UNNA RIA SAFITRI
JURNAL EKONOMI, SOSIAL & HUMANIORA Vol 7 No 01 (2025): INTELEKTIVA : JURNAL EKONOMI, SOSIAL DAN HUMANIORA - EDISI JANUARI-APRIL 2025
Publisher : KULTURA DIGITAL MEDIA ( Research and Academic Publication Consulting )

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

Abstract

Mutiara Collection, sebuah konveksi di Sleman, Yogyakarta, membuat perlengkapan sekolah seperti jilbab, dasi, topi, dan lainnya dengan baik. Tujuan penelitian ini adalah untuk menemukan cara untuk meningkatkan daya saing perusahaan melalui pemasaran produk dan pengembangan kualitas. Menurut pengamatan langsung dan wawancara dengan pemilik bisnis, PT. Mutiara Collection berfokus pada kualitas bahan baku, ketepatan waktu produksi, dan sistem pembayaran pasca-pengiriman sebagai cara utama untuk membangun kepercayaan pelanggan. Promosi dilakukan melalui media sosial seperti WhatsApp, yang memudahkan interaksi yang mudah dengan konsumen. Strategi pemasaran yang fleksibel dan inovatif untuk produk sangat penting untuk mempertahankan loyalitas pelanggan dan meningkatkan penjualan. Perusahaan menargetkan siswa di Sleman, tetapi juga menerima pesanan dari seluruh Indonesia.
Fast image watermarking based on signum of cosine matrix Ernawan, Ferda; Adi, Prajanto Wahyu; Liew, Siau-Chuin; Sarwoko, Eko Adi; Winarno, Edy
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1383-1391

Abstract

In the field of image watermarking, the singular value decomposition has good imperceptibility and robustness, but it has high complexity.  It divides a host image into matrices of U, S, and V. Singular matrix S has been widely used for embedding and extracting watermark, while orthogonal matrices of U and V are used in decomposition and reconstruction. The proposed signum of cosine matrix method is carried out to eliminate the generation of the three matrices at each block and replace it with a signum of cosine matrix. The proposed signum of cosine matrix is performed faster on the decomposition and reconstruction. The image is transformed into a coefficient matrix C using the signum matrix. The C matrix values are closer to the S value of singular value decomposition which can preserve high quality of the watermarked image. The experimental results show that our method is able to produce similar imperceptibility and robustness level of the watermarked image with less computational time.
Co-Authors Achmad Solichan Aditya Putra Ramdani Agus Harjanto Agus Harjoko Agus Harjoko Agus Prasetyo Ahmad Samsul Muarif Ainun Nirwanto, Ahmad Aji Supriyanto Al Amin, Muhammad Zainudin Alam, Sitti Nur Aniati Murni Arymurthy Anindita Septiarini, Anindita Anindita Septirini Anwar, Muchamad Taufiq Arief Jananto Basirudin Ansor Bernadus Gunawan Sudarsono Budi Hartono budi hartono De Rosal Ignatius Moses Setiadi Deva Ega Marinda Devie, Erviana Dewi Handayani Untari Ningsih DEWI RAHMAWATI DHINI AMINATI NURHASANAH Dian Kristiawan Nugroho DIAS AYU LISTYORINI Diaz Aditya Dwi Budi Santoso Dwi Cahyono, Taufiq Eddy Nurraharjo Edwin Febriansyah Eka Ardhianto Eko Adi Sarwoko EngMarkiano Solissa, Everhard Eri Zuliarso Erviana Devie Fadli, Bimo Akbar Fahri Fahri Fajri, Muhamad Mushfa Hikmatal Farah Zakiyah Rahmanti Farooq, Omar Fatchurohman, Dedi Fatkhul Amin Fatkhul Amin Febyliana, Eva Ferda Ernawan Firman Aziz Gilang Fadhillah Ramadhan Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hamid Wijaya Heri Purwanto Herny Februariyanti Hersatoto Listiyono Heru Sigit Purwanto Ibnu Halim Mustofa Imam Husni Al Amin Iwan Adhicandra Karima Elsami KHUSNUL WIBI PRASETYO Kraugusteeliana Kraugusteeliana Kurniawan, Oki Liew, Siau-Chuin Maratun Nafiah Masa, Amin Padmo Azam Muchamad Sobri Sungkar Muji Sukur Naimatul Husna Nova Christina Sari NURDIYANTO, ARIF Nurdiyanto, Arif Prajanto Wahyu Adi Prajanto Wahyu Adi, Prajanto Wahyu Pratomo, Septyo Uji Purwatiningtyas Purwatiningtyas Putra Ramdani, Aditya Rahardika, Anindyta Fernanda Safitri, Unna Ria Sari, Artini Ratna Setyawan Wibisono Setyawan Wibisono Siti Aisyah Sri Hartati Sulaksono, Aryo Windu Rahman Sulaksono, Aryo Windu Rahman Sunardi Sunardi Suryani Suryani Taufiq Dwi Cahyono Veronica Lusiana Warkianto Widjaja Wijayanti, Tri Cicik Winarko, Edi WINDU RAHMAN SULAKSONO, ARYO Wiwien Hadikurniawati Zen, Agustian Zuly Budiarso