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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 Journal of Appropriate Technology for Community Services 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) 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 Mechanical Engineering Public Health Social Sciences Other

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Implementasi Penetapan Pasien CBR-AHP Rawat Inap Covid-19 di Rumah Sakit dengan Sumber Daya Terbatas Sari, Artini Ratna; Winarno, Edy
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

Covid-19 is one of the most dangerous and number one killer viruses in the world today and cannot be handled properly. Covid-19 patients with mild symptoms do not require hospitalization unless there are concerns about the possibility of a rapid worsening and according to medical considerations. Patients who are elderly and have comorbid diseases have a greater risk of experiencing more severe symptoms and experiencing death, so they can be considered for treatment. To make it easier to determine inpatients for COVID-19 patients, an expert system with the CBR-AHP method is needed. This system can be used to conduct consultations on Covid-19 disease and provide solutions for the treatment of the type of Covid-19 disease found where the consultation results are obtained from the highest Nei&Li similarity value. Of all the variants found above, the highest Nei&Li similarity value is Omicron with a similarity of 1,000. The system for determining the inpatient status of Covid-19 patients in hospitals with the Nei&Li algorithm will recommend Covid-19 diseases found with similarity above 0.5 and similarity below 0.5 will be entered into the review table to find a solution.
Implementasi Penetapan Pasien CBR-AHP Rawat Inap Covid-19 di Rumah Sakit dengan Sumber Daya Terbatas Sari, Artini Ratna; Winarno, Edy
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

Covid-19 is one of the most dangerous and number one killer viruses in the world today and cannot be handled properly. Covid-19 patients with mild symptoms do not require hospitalization unless there are concerns about the possibility of a rapid worsening and according to medical considerations. Patients who are elderly and have comorbid diseases have a greater risk of experiencing more severe symptoms and experiencing death, so they can be considered for treatment. To make it easier to determine inpatients for COVID-19 patients, an expert system with the CBR-AHP method is needed. This system can be used to conduct consultations on Covid-19 disease and provide solutions for the treatment of the type of Covid-19 disease found where the consultation results are obtained from the highest Nei&Li similarity value. Of all the variants found above, the highest Nei&Li similarity value is Omicron with a similarity of 1,000. The system for determining the inpatient status of Covid-19 patients in hospitals with the Nei&Li algorithm will recommend Covid-19 diseases found with similarity above 0.5 and similarity below 0.5 will be entered into the review table to find a solution.
AUGMENTED REALITY (AR) SEBAGAI INOVASI MEDIA PEMBELAJARAN BANGUN RUANG DI SEKOLAH DASAR NEGERI GAJAHMUNGKUR 03 Amin, Muhammad Zainudin Al; Ansor, Basirudin; Solichan, Achmad; Ramdani, Aditya Putra; Sari, Nova Christina; Winarno, Edy; Febyliana, Eva; Rahmawati, Dewi; Fahri, Fahri
Jurnal Abdi Insani Vol 12 No 8 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i8.2822

Abstract

Pembelajaran geometri bangun ruang di sekolah dasar masih menghadapi tantangan karena bersifat abstrak dan sulit divisualisasikan oleh siswa. Guru kerap kesulitan menyampaikan materi secara menarik dan konkret dengan media konvensional. Seiring dengan berkembangnya teknologi, Augmented Reality (AR) dinilai sebagai pendekatan yang potensial untuk mendukung proses pembelajaran. SDN Gajahmungkur 03 Semarang sebagai mitra kegiatan memiliki kebutuhan untuk mengintegrasikan media digital dalam pembelajaran sebagai bentuk inovasi dalam mendukung Merdeka Belajar. Tujuan kegiatan ini adalah memberikan pelatihan kepada guru dalam mengembangkan dan menggunakan media pembelajaran berbasis AR untuk materi bangun ruang tiga dimensi. Metode kegiatan menggunakan pendekatan pelatihan partisipatif dengan tahapan observasi awal, perancangan aplikasi AR, pelaksanaan pelatihan, simulasi kelas terbimbing, dan evaluasi partisipan. Hasil pelaksanaan menunjukkan peningkatan kemampuan guru dalam mengembangkan dan mengoperasikan aplikasi AR bertajuk “3D Ruangku”. Respon guru terhadap penggunaan aplikasi sangat positif, dengan 80% menyatakan aplikasi mudah digunakan dan 85% menilai aplikasi membantu memperjelas konsep bangun ruang. Siswa juga menunjukkan peningkatan motivasi dan ketertarikan belajar selama pembelajaran menggunakan AR berlangsung. Selain itu, guru mulai memahami cara mengintegrasikan teknologi dalam pembelajaran dan mampu mengevaluasi kelebihan dan kekurangan media yang digunakan. Masukan dari guru menjadi dasar penting untuk pengembangan aplikasi lebih lanjut. Kegiatan ini terbukti mampu meningkatkan literasi teknologi dan kemampuan guru dalam menyampaikan materi bangun ruang dengan pendekatan yang lebih interaktif dan aplikatif.
Hydrothermal Alteration and Mineralization in the Grindulu River Segment, Pacitan, East Java: A Study of the Geotourism Potential of the River Area Mineralization Kurniawan, Oki; Purwanto, Heru Sigit; Harjanto, Agus; Winarno, Edy; Fatchurohman, Dedi; Pratomo, Septyo Uji
Journal of Applied Sciences, Management and Engineering Technology Vol 6, No 2 (2025)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2025.v6i2.8192

Abstract

The Grindulu River in Pacitan is one of the areas that exhibits manifestations of hydrothermal alteration and metal mineralization. However, the valuable metals found are relatively low, making it less economical to produce. This condition opens up other opportunities by utilizing the area as a natural laboratory for geological education and sustainable geotourism development. This study evaluates the potential for hydrothermal mineralization-based geotourism through geosite assessment. The study area comprises the Watupatok Formation and the Arjosari Formation, which show silicic, argillic, and propylitic alteration zones. The research methods include geological mapping, rock sampling, petrographic analysis, XRD, FA-AAS, and geosite assessment using the Kubalikova method, covering scientific, educational, aesthetic, and value-added aspects. The results show the presence of mineralization in the form of pyrite, chalcopyrite, sphalerite, and galena, with low levels of valuable metals (Au, Ag, Cu, Pb, Zn). Nevertheless, all three segments of the Grindulu River possess significant geosite value for educational and conservation purposes, with segment 2 considered the most ideal due to its superior accessibility and educational value. This study concludes that the Grindulu River is more appropriate for development as a sustainable geotourism destination based on conservation and geological education rather than mining exploitation.
Enhanced Semarang batik classification using deep learning: a comparative study of CNN architectures Winarno, Edy; Solichan, Achmad; Putra Ramdani, Aditya; Hadikurniawati, Wiwien; Septiarini, Anindita; Hamdani, Hamdani
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9347

Abstract

Batik is an important part of Indonesia’s cultural heritage, with each region producing unique designs. In Central Java, Semarang is known for its distinctive batik patterns that reflect rich local traditions. However, many people are still unfamiliar with these designs, which threatens their preservation. This study develops an automated system to classify Semarang batik patterns, showing how technology can help safeguard cultural heritage. A convolutional neural network (CNN) approach was used to recognize ten batik types, including Asem Arang, Asem Sinom, Asem Warak, Blekok, Blekok Warak, Gambang Semarangan, and Kembang Sepatu. Pre-processing steps—such as image resizing, cropping, flipping, and rotation—improved model performance and reduced complexity. Five CNN architectures (MobileNetV2, ResNet-50, DenseNet-121, VGG-16, and EfficientNetB4) were tested using 224×224 input size, Adam optimizer, ReLU activation, and categorical cross-entropy loss. Results show VGG-16, ResNet-50, and DenseNet-121 achieved perfect accuracy (1.0) on a dataset of 3,000 locally collected images. These findings highlight CNN models’ strong potential for batik pattern recognition, supporting digital preservation of Indonesian culture.
Comparison of Noise Using Reduction Method for Repairing Digital Image Masa, Amin Padmo Azam; Fajri, Muhamad Mushfa Hikmatal; Septiarini, Anindita; Winarno, Edy
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2032

Abstract

Digital images are used to become a visual bridge of information. The information data must be precise so that the information can be adequately conveyed, but in the process, digital images sometimes experience a change in quality. One of the causes of this change is noise, where the image affected by noise is of poor quality, so misinformation can occur. This problem can be solved using filtering methods, but there are so many filtering methods. In this study, five filtering methods were used, including the Gaussian filter, mean filter, median filter, wiener filter, and conservative filter, to be compared with two types of noise, such as salt and pepper and speckle, so that the best method for noise reduction in digital images is known based on the criteria that have been set determined. The research results were determined based on the value of the measurement parameters Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The results show that the conservative method is the best based on the parameter values of MSE 3.21 and PSNR = 37.99. However, when viewed visually, the median method is superior for reducing noise in digital images that have been carried out. The results of the research can be used as information to develop future research, especially in the field of digital image processing.
Wildfire Risk Map Based on DBSCAN Clustering and Cluster Density Evaluation Anwar, Muchamad Taufiq; Hadikurniawati, Wiwien; Winarno, Edy; Supriyanto, Aji
Advance Sustainable Science, Engineering and Technology Vol 1, No 1 (2019): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v1i1.4876

Abstract

Wildfire risk analysis can be based on historical data of fire hotspot occurrence. Traditional wildfire risk analyses often rely on the use of administrative or grid polygons which has their own limitations. This research aims to develop a wildfire risk map by implementing DBSCAN clustering method to identify areas with wildfire risk based on historical data of wildfire hotspot occurrence points. The risk ranks for each area/cluster were then ranked/calculated based on the cluster density. The result showed that this method is capable of detecting major clusters/areas with their respective wildfire risk and that the majority of consequent fire occurrences were repeated inside the identified clusters/areas.Keywords: wildfire risk map; clustering; DBSCAN; cluster density;
Educational Game Based Role Playing Games with Finite State Machine Method Edy Winarno; Tri Cicik Wijayanti; Wiwien Hadikurniawati; Everhard EngMarkiano Solissa
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : Universitas 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.
Penerapan Sistem Presensi Pintar dengan Fingerprint Berbasis IoT untuk Mendukung Digitalisasi Manajemen Kehadiran Siswa Al Amin, Muhammad Zainudin; Solichan, Achmad; Sari, Nova Christina; Winarno, Edy; Ansor, Basirudin; Ramdani, Aditya Putra; Zulfikar, M. Fiqri; Nabilah, Alfa Hikmatun; Bani, Yasyifa Nur
Journal of Appropriate Technology for Community Services Vol. 7 No. 2 (2026)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol7.iss2.art8

Abstract

Transformasi digital di bidang pendidikan mendorong pemanfaatan teknologi untuk meningkatkan efisiensi pengelolaan administrasi sekolah, khususnya dalam pencatatan kehadiran siswa. Namun, sebagian sekolah masih menggunakan sistem absensi manual yang rentan terhadap kesalahan pencatatan, manipulasi data, serta keterlambatan pelaporan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem presensi pintar berbasis Internet of Things (IoT) dengan autentikasi biometrik fingerprint di SMK Negeri 1 Tuntang. Metode pelaksanaan dilakukan melalui tahapan observasi, identifikasi masalah, pelatihan dan pendampingan, implementasi sistem, serta monitoring dan evaluasi. Hasil implementasi menunjukkan bahwa sistem dapat berfungsi dengan baik dan mampu meningkatkan efisiensi pengelolaan presensi. Evaluasi melalui survei kepuasan pengguna menggunakan skala Likert menunjukkan nilai rata-rata kepuasan guru sebesar 4,19 dengan indeks 83,81%, serta nilai rata-rata kepuasan siswa sebesar 4,61 dengan indeks 92,23%. Hasil tersebut menunjukkan bahwa sistem presensi berbasis fingerprint diterima dengan sangat baik oleh pengguna dan efektif dalam meningkatkan akurasi, efisiensi, serta transparansi pengelolaan kehadiran di lingkungan sekolah.
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 Bani, Yasyifa Nur 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 Eddy Nurraharjo Edwin Febriansyah Eka Ardhianto Eko Adi Sarwoko 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 Nabilah, Alfa Hikmatun 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 Solissa, Everhard Markiano Sri Hartati Sulaksono, Aryo Windu Rahman Sulaksono, Aryo Windu Rahman Sunardi Sunardi Suryani Suryani Taufiq Dwi Cahyono Tri Cicik Wijayanti Veronica Lusiana Warkianto Widjaja Winarko, Edi WINDU RAHMAN SULAKSONO, ARYO Wiwien Hadikurniawati Zen, Agustian Zulfikar, M. Fiqri Zuly Budiarso