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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Jurnal Technopreneur (JTech) Bulletin of Social Informatics Theory and Application Jurnal Informatika dan Teknik Elektro
Arnold Nasir, Arnold
Universitas Ciputra Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Social Sciences Other

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Simulasi Aplikasi Pendeteksi Penggunaan Masker Muka Dalam Membantu Pengawasan Program 3M Arnold Nasir
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi TEMATIKA Volume 9 Nomor 1 (Maret 2021)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56963/tematika.v9i1.117

Abstract

The Coronavirus has made severe damage to the society around the world. Every aspect of human life was affected. As the result, the government propose the “new normal” policy to be applied as the new standards for regulating people in doing their activities. One of the rules within the new normal policy is each people must wear a face mask when they are in a public space. In order to enforce the rule, the implementation of TensorFlow in a face detection technology becomes one of the solutions, especially in the university environment.
Pemodelan Aplikasi Pendeteksi Pelaksanaan Social Distancing dalam Membantu Pengawasan Program 3M Arnold Nasir; Stefany Yunita Baralangi
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Vol. 10 No. 1 (2022): TEMATIKA Volume 10 Nomor 1 (Maret 2022)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56963/tematika.v10i1.137

Abstract

The Coronavirus has made severe damage to the society around the world. Every aspect of human life was affected. As the result, the government propose the “new normal” policy to be applied as the new standards for regulating people in doing their activities. One of the rules within the new normal policy is to implement social distancing in a public space. In order to enforce the rule, the implementation of computer vision technology by using CNN becomes one of the solutions, especially in the university environment.
IMPLEMENTASI PROXY SERVER UNTUK OPTIMALISASI MANAJEMEN BANDWIDTH JARINGAN KOMPUTER PADA UNIVERSITAS XYZ Arnold Nasir; Reinaldo Lewis Lordianto
Jurnal Technopreneur (JTech) Vol 11 No 1 (2023): JURNAL TECHNOPRENEUR (Mei)
Publisher : UPPM Politeknik Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtech.v11i1.1164

Abstract

Perkembangan pemanfaatan jaringan komputer, baik yang terhubung secara privat (LAN) maupun terhubung ke jaringan publik (Internet), telah mengalami peningkatan yang pesat. Dalam konteks ini, akses lancar terhadap aplikasi dan layanan berbasis web menjadi sangat penting. Universitas XYZ saat ini telah mengoperasikan beberapa aplikasi dan layanan web, baik secara online maupun offline. Namun, hasil observasi di XYZ menunjukkan bahwa jaringan masih memisahkan antara jaringan lokal dan Internet, dan penggunaan bandwidth belum terkontrol dengan baik. Penelitian ini bertujuan untuk meningkatkan kinerja jaringan di Universitas XYZ dengan merancang server proxy yang dapat membantu dalam pengoptimalan pemanfaatan bandwidth dan mengatur hak akses pengguna. Metode pengumpulan data yang digunakan adalah melalui observasi, kuesioner, studi literatur, dan wawancara. Hasil observasi menunjukkan bahwa saat ini jaringan pada XYZ masih memisahkan antara jaringan lokal dan Internet dan penggunaan bandwidth belum terkontrol dengan baik. Penelitian ini diharapkan dapat membantu mengatasi masalah tersebut dan meningkatkan kelancaran akses aplikasi atau layanan web di Universitas XYZ.
Digital Transformation of Toko Madi MSME's: Improving Business in the Digital Era Tjandinegara, Tiffany; Fanilam Putri, Elma; Christina Chandra, Nova; Christina Chandra, Novi; Nasir, Arnold; Suardi, Citra
INTRO : Journal Informatika dan Teknik Elektro Vol 3 No 2 (2024): INTRO : Jurnal Informatika dan Teknik Elektro Edisi Desember 2024
Publisher : Fakultas Teknik dan Informatika Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/intro.v3i2.1832

Abstract

MSMEs, which stands for Micro, Small, Medium Enterprises, have a number of problems, including the lack of use of technology in business development and obstacles in accessing market information. Digital transformation allows MSMEs to utilize technology in developing their businesses, increasing operational efficiency and better accessing market information. This research aims to utilize digital transformation in entrepreneurship in the digital era and its application in the business development of Toko Madi. This research uses a mobile application development approach to create a digital platform for MSMEs "Toko Madi." This application includes a login page, profile settings, item catalog, purchase history, and management features for shop owners, such as stock management, shipping, and sales data. It is hoped that the results of this research can increase the income of "Toko Madi" MSMEs by enabling them to reach customers outside the city and take advantage of the benefits of digital transformation. This digital transformation includes the process of digitizing the business, utilizing mobile applications, and using analytical tools to increase efficiency, productivity, and innovation. In conclusion, digital transformation is an important step for MSMEs in facing challenges and competing in an increasingly competitive global market. With this mobile application, MSMEs can increase their online presence, manage their business better, and adapt to dynamic changes in the digital era.
Enhancing Lae-Lae Island sustainability: computer vision based waste detection and analysis Nasir, Arnold; Syariati, Kasmir; Suardi, Citra; Sundoro, David; Lordianto, Reinaldo Lewis
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.665

Abstract

In our study, "Enhancing Lae-Lae Island Sustainability: Computer Vision-Based Waste Detection and Analysis," we investigate novel approaches to address plastic pollution challenges in coastal ecosystems, focusing on Lae-Lae Island. Through a multidisciplinary approach, we uncover valuable insights for effective waste management and environmental conservation. Spatial analysis identifies concentrated plastic pollution hotspots, offering actionable data for targeted cleanup strategies. Temporal trend analysis reveals waste accumulation patterns, facilitating adaptive waste management decisions. Furthermore, we examine the impact of environmental factors on waste density, aiding in proactive pollution mitigation. Central to our research is the evaluation of computer vision technology, which demonstrates high precision, recall, and an F1-score of approximately 87.8%. These results signify the technology's potential to revolutionize waste detection and monitoring, enabling efficient resource allocation, real-time surveillance, and rapid pollution response. In conclusion, our study provides a data-driven framework for sustainable plastic waste management on Lae-Lae Island, offering insights applicable to coastal regions worldwide. By embracing technology and innovation, we pave the way for cleaner, more resilient coastal ecosystems, underscoring the importance of proactive environmental stewardship.
Co-Authors Amaia, Rizky Nugraha Christina Chandra, Nova Christina Chandra, Novi Citra Suardi David Sundoro Fanilam Putri, Elma Kasmir Syariati Lordianto, Reinaldo Lewis Reinaldo Lewis Lordianto Rizky Nugraha Amaia Stefany Yunita Baralangi Tjandinegara, Tiffany