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All Journal Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Inovasi Teknologi Pendidikan Register: Jurnal Ilmiah Teknologi Sistem Informasi Briliant: Jurnal Riset dan Konseptual Syntax Literate: Jurnal Ilmiah Indonesia JURNAL EDUCATION AND DEVELOPMENT MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Teknik Informatika (JUTIF) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Pendidikan dan Pengabdian Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Evan Tanuwijaya
Universitas Ciputra Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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MINI SERI COMPUTATIONAL THINGKING UNTUK GURU SEKOLAH YAYASAN CIPUTRA PENDIDIKAN Yuwono Marta Dinata; Laura Mahendratta Tjahjono; Mychael Maoeretz Engel; Theresia Ratih Dewi Saputri; Evan Tanuwijaya
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 4 No. 2 (2021): Mei
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (215.357 KB) | DOI: 10.29303/jppm.v4i2.2659

Abstract

Kegiatan pengabdian kepada masyarakat (abdimas) ini bertujuan memperluas wawasan mengenai computational thinking (CT) bagi guru Sekolah. Program mini seri ini dilakukan secara berkala dan berkesinambungan. Program ini diprioritaskan kepada Guru di berbagai sekolah. Pada kesempatan kali ini diperuntukkan kepada Guru-guru di Yayasan Ciputra Pendidikan. CT sendiri merupakan salah satu problem solving yang perlu diajarkan sejak dini. Dengan melihat perkembangan teknologi dalam bidang ilmu komputer yang berkembang pesat maka pendekatan CT ini sangat diperlukan. Universitas Ciputra Surabaya khususnya Fakultas Teknologi Informasi bekerjasama dengan Komunitas Bebras untuk memperluas penggunaan CT bagi siswa/i seluruh Indonesia. Mini seri ini dilakukan dengan memberikan wawasan CT kepada guru sekolah, sehingga guru tersebut dapat menyampaikan dan melatih para siswanya untuk dapat terbiasa menggunakan CT ini dalam kehidupan mereka sehari-hari. Dalam melakukan pengabdian masyarakat ini dilakukan dengan terlebih dahulu berkoordinasi dan berdiskusi dengan koordinator pusat Yayasan, membuat materi computational thinking berupa materi power point maupun website yang siap diakses peserta. Pokok pembahasan dibagi menjadi empat sesi yaitu pendahuluan tentang computational thinking, computational thinking in everyday life, Developing Computational Thinking task dan menerapkan CT dalam pembelajaran di kelas. Kegiatan ini menyasar pada 134 guru Yayasan Sekolah Ciputra dengan durasi pelaksanaan kurang lebih tiga bulan dari persiapan, penyiapan materi, koordinasi, penyuluhan, serta penyusunan laporan dan luaran.
Implementasi Ekonomi Sirkular Melalui Studi Kelayakan Pembuatan Bata Limbah Plastik Evan Tanuwijaya; Tota Pirdo Kasih; Rudy Susanto
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.314 KB) | DOI: 10.36418/syntax-literate.v7i11.12000

Abstract

Pertumbuhan ekonomi dan peningkatan jumlah populasi mengakibatkan peningkatan jumlah konsumsi. Konsumsi yang meningkat menimbulkan masalah limbah, terutama limbah plastik yang bisa berpengaruh negatif pada ekosistem dan kesehatan manusia. Maka dari itu diperlukan manajemen pengelolaan limbah plastik melalui program ekonomi sirkular, yang bertujuan untuk melakukan daur ulang limbah sehingga dapat menciptakan kegiatan ramah lingkungan. Salah satu pengelolaan limbah adalah pengembangan produk bata limbah plastik. Tujuan penelitian adalah untuk menganalisis dan mengevaluasi pengembangan bata berbahan limbah plastik dalam implementasi ekonomi sirkular. Sampel penelitian adalah bata limbah plastik. Analisis yang digunakan adalah menggunakan metode kuantitatif dan kualitatif dengan melakukan analisa rasio experiment. Hasil penelitian memperoleh kesimpulan bahwa hasil percobaan memperoleh 4 buat jenis bata, bata plastik yang dihasilkan mampu menahan beban tumpukan setinggi 4 m dengan tekanan terbesar sebesar 114, dan dapat mewujudkan penerapan ekonomi sirkular dengan melakukan daur ulang.
HUMAN FACE RECOGNITION ON IMAGE VIDEO CONFERENCE APPLICATION USING SIAMESE NETWORK WITH SKIP CONNECTION SMALLER VGG MODEL Evan Tanuwijaya; Averill Saladin Atma Setiawan; Achmad Rijalu Arianindita; Timothy Kristanto
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.981

Abstract

Attendance recording is needed to find out someone's attendance at a meeting or meeting. These meetings are sometimes conducted online through the video conferencing application. Recording attendance at online meetings is using an online form that is distributed via chat. There are several problems such as chats piling up and meeting participants arriving late so they cannot access the form link. Therefore, facial recognition can be used to record attendance using screenshots as an attendance record with the aim of helping to facilitate attendance recording through video conferencing applications using computer vision technology. This study proposes a method of using the Siamese network with the Smaller VGG skip connection model to improve human face recognition in video conferencing application images. Has validation accuracy results in the training phase of 98%, precision of 98%, and recall of 98%. For the similarity phase where the model is applied to the Siamese network, the accuracy is 95%, the precision is 53%, and the recall is 78%. Then the model is applied to the pipeline system with the YOLO-face model to classify the results of face detection from Yolo with the faces in the database so that the model does not need to be retrained if there are new faces, it only needs to add facial images to the database to be compared with the query image..
Development of innovative behaviors Android application and website for teachers using the waterfall method Tanuwijaya, Evan; Kurniawan, Jimmy Ellya; Rahmawati, Kuncoro Dewi
Jurnal Inovasi Teknologi Pendidikan Vol 11, No 3 (2024): September
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v11i3.68133

Abstract

This research explores the pivotal role of innovation in education, particularly in response to the COVID-19 pandemic. It focuses on developing the Guru Inovatif Android app and website to enhance educators' innovative teaching practices. These platforms feature a survey to assess innovation levels and training modules to develop innovative skills, aiming to revolutionize teaching methodologies. (In this research, the waterfall methodology is employed, which is used to develop software from start to finish. This model involves a sequential design process, where progress flows in one direction through phases such as requirements, design, implementation, verification, and maintenance. It is utilized to create both an Android-based application and a Laravel-based website.) Testing involved 109 teachers from various educational levels across six regions in Java. Data were collected via a structured Likert-scale survey and analyzed for usability and satisfaction. Results indicated high user-friendliness (4.43) and satisfaction (4.28) but highlighted the need for design consistency (2.37) and error reduction (2.27). By addressing these issues, the Guru Inovatif platforms can better support educators in adopting innovative teaching practices.
DEVELOPMENT OF VERTICAL-AXIS WIND TURBINE MODELS AS STRENGTHENING FOR SUSTAINABLE RENEWABLE ENERGY Kenneth Sutjiawan; Tota Pirdo Kasih; Rudy Susanto; Noviando Yuliando; Evan Tanuwijaya
JURNAL EDUCATION AND DEVELOPMENT Vol 12 No 2 (2024): Vol 12 No 2 Mei 2024
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v12i2.5630

Abstract

The use of electricity in the world continues to increase over time, the main source of producing electricity in the world is coal which is a basic material that takes a long time to form. Since 2021, British patrol has recorded that coal supplies in the world are available at 1,074,108 million tonnes. In Indonesia, coal still provides 60% of the country's electricity supply and the other 40% uses other energy such as water, steam, gas and other energy. New renewable energy development goals through the Sustainable Development Goals (SDG) in utilizing wind energy through vertical axis wind turbines. The research made three turbine models with different shapes, which then collected voltage data with an air compressor. The experimental results show that the average voltage generated by the two turbine models is 240 mV and 229 mV respectively. For the third model using two sampling methods obtained 353 mV and 292 mV. The use of vertical shaft wind turbines can be used in urban areas, especially in some tall buildings and parks. Research can still be developed by adding several other factors such as wind speed, turbine rotation speed and the aerodynamics of the turbine shape. and using a dc generator that requires a small torque so that it can increase the electric power produced. (KS)
COMPARATIVE STUDY OF CNN-BASED ARCHITECTURES ON EYE DISEASES CLASSIFICATION USING FUNDUS IMAGES TO AID OPHTHALMOLOGIST Yaurentius, Evelyn Callista; Saputri, Theresia Ratih Dewi; Tanuwijaya, Evan; Sutanto, Richard Evan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.3699

Abstract

Eye health has a significant impact on quality of life, with more than 2.2 billion people experiencing vision problems. Many of these cases can be prevented or treated. The use of AI for eye disease classification helps healthcare professionals provide optimal care. However, the complexity of fundus images challenges classification performance. This study examines various Convolutional Neural Network (CNN) architectures using Transfer Learning and Adam optimization. Fundus images are processed using CLAHE (clip limit and grid size) and the Wiener filter (size) to enhance contrast and reduce noise. Afterward, ResNet-152, EfficientNet, MobileNetV1, and DenseNet-121 are tested to identify the most effective model. The study aims to determine the optimal CNN architecture for eye disease classification, assisting ophthalmologists in diagnosing eye diseases through fundus images. The best CNN model, ResNet-152, achieved an accuracy of 94.82%, outperforming other models by 3.95 - 8.29%.
Rancang Bangun Aplikasi Penitipan Hewan Peliharaan Berbasis Android Evan Tanuwijaya
Jurnal Teknik Informatika dan Sistem Informasi Vol 4 No 3 (2018): JuTISI
Publisher : Maranatha University Press

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

Abstract

A lot of people in Indonesia keeps their pets at their home. Therefore, the pets must be taken care at all time. But we as humans have many other activities besides taking care of our pets. This causes the pet not to be monitored. To solve the problem, an app is required to search for a pet daycare. This app can search for healthy, comfortable, and safe pet daycare. Applications have been widely developed in the community, especially for mobile applications. Mobile applications have many advantages and ease in accessing them. In addition, in Indonesia technology is growing very fast. Many Indonesians are also using smartphones in their daily lives. Based on the above data, a solution appears to create an app for pet daycare where pet owners can easily search for pet daycare just with their smartphones. This app uses a client-server architecture where the client is a smartphone that has an Android operating system and a server using Google Firebase. Development method used is the Systems Development Life Cycle (SDLC) method with the Waterfall model. The result of this thesis, it can be concluded that Petqper mobile application can look for healthy, convenient, and safe daycare. In addition, reliable pet daycare can use this application to offer their services and simplify the process of booking a place.
Co-Authors AA Sudharmawan, AA Achmad Rijalu Arianindita Agus Zainal Arifin Angelica Roseanne Arif Mudi Priyatno Averill Saladin Atma Setiawan Baskoro Nugroho Chastine Fatichah Christian Tanjono David Christian Kartamihardja Dini Adni Navastara, Dini Adni Eha Renwi Astuti Jimmy Ellya Kurniawan Kenneth Sutjiawan Kuncoro Dewi Rahmawati Laura Mahendratta Tjahjono Lestari, Caecilia Citra Mohammad Fatoni Anggris, Mohammad Fatoni Mychael Maoeretz Engel Noviando Yuliando Rarasmaya Indraswari Reinaldo Lewis Lordianto Reiner Anggriawan Jasin Rinabi Tanamal Rudy Susanto Rudy Susanto Safri Adam Siswanto, Felicia Devina Sutanto, Richard Evan Theresia Ratih Dewi Saputri Timothy Kristanto Timotius Timotius Leonardo Lianoto Tota Pirdo Kasih Tota Pirdo Kasih Yaurentius, Evelyn Callista Yuwono Marta Dinata