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All Journal Jurnal Teknologi dan Manajemen Informatika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic SMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Ilmiah KOMPUTASI JURNAL MEDIA INFORMATIKA BUDIDARMA INTECOMS: Journal of Information Technology and Computer Science IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Teknologi Informasi dan Multimedia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informatika dan Komputer IJISTECH KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Smatika Jurnal : STIKI Informatika Jurnal INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Agus Iskandar
Universitas Nasional
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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CYBER SECURITY EDUCATION PROGRAM FOR STUDENTS TO BUILD DIGITAL SECURITY AWARENESS Agus Iskandar; Bagas Ade S
International Journal of Teaching and Learning Vol. 1 No. 12 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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Abstract

In the ever-evolving digital era, cyber security is a major concern, especially for the younger generation who spend significant time online. The Cyber Security Education Program for Students is designed to equip students with essential knowledge and skills in dealing with cyber security threats. Through a series of interactive workshops, training and simulations, this program aims to build awareness of the importance of digital security, teach how to identify and avoid various types of cyber attacks, and promote best practices in keeping personal and sensitive information safe. The program curriculum is structured based on the latest cybersecurity frameworks and delivered in a format that is easy for students to understand. The training material covers the basics of cyber security, such as password security, recognition of phishing, malware and ransomware, as well as self-defense techniques in cyberspace. In addition, this program also integrates the use of digital tools that can help students practice cybersecurity in their daily lives. By participating in this program, it is hoped that students will become more aware and responsible in exploring the digital world, and be able to protect themselves and others from potential cyber security dangers. The Cyber Security Education Program for Students not only emphasizes the importance of cyber security knowledge and skills, but also encourages students to become digital security ambassadors in their environment, thereby creating a safer and more informed digital society.
APPLICATION OF MULTI-OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS (MOORA) IN DETERMINING THE LOCATION OF BERKAH TIRTA'S DRINKING WATER BUSINESS Abdul Rahman; Andreas Dwiyanto; Agus Iskandar
INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS Vol. 1 No. 12 (2025): INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Publisher : CV. Adiba Aisha Amira

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Abstract

In the workplace environment, competition is a common phenomenon, especially when it comes to determining the location to start a business, namely the selection of the right location. The business of water refill stations is experiencing rapid development, and the success of this business is significantly influenced by the accurate determination of the location. To enhance efficiency in location determination, the MOORA method is employed an analytical tool for decision-making. The use of the MOORA method in this research aims to analyze and compare each potential location based on predetermined criteria such as accessibility, market potential, operational costs, space size, crowd center and other external factors. The implementation of MOORA is expected to serve as an initial step in making strategic decisions related to location determination in various fields of business and provide a foundation for further research to develop more advanced methods in location selection. The results of the MOORA implementation in determining the strategic location indicate that location D or alternative is the preferred choice with a value of 0.323517894.
Facial Age Estimation on Asian Faces Using SE-ResNeXt50 and Skin Texture Analysis Hanni Deswita; Ben Rahman; Andrianingsih Andrianingsih; Agus Iskandar
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 14 No. 1 (2026): March 2026
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v14i1.12039

Abstract

Image-based facial age estimation is becoming an important component in biometrics and digital dermatology, but many deep learning approaches still rely on global facial features, making them less sensitive to micro changes on the skin surface, particularly on Asian faces which have distinct ageing patterns. This research offers a novel contribution by integrating SE-ResNeXt50 with skin texture analysis to produce more accurate and interpretable age estimations. The dataset used is APPA-REAL, which consists of 7,612 age-labeled Asian face images. After face detection, skin area cropping, size standardisation, and intensity normalisation, visual features were extracted using SE-ResNeXt50, which utilises a channel attention mechanism through Squeeze-and-Excitation blocks to amplify subtle ageing signals. In parallel, this study adds skin texture analysis based on quantitative indicators, namely wrinkle index, tone unevenness, shine proxy, and brightness, to represent the skin microstructure correlated with ageing. The performance of the method is evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results show that the combination of an attention-based deep network and skin texture indicators can improve the consistency of age prediction and provide a clearer basis for interpreting changes in skin texture on Asian faces. This finding strengthens the potential for developing an age estimation system that is not only precise but also relevant for digital skin monitoring applications and ageing evaluation.
Co-Authors Abdul Rahman Aditya lutfi Irawan Aei Dhelwis Okdhianthy Putri Agung Triayudi Ahmad Dwikhaldi Rifai Aldi Ardiansyah Amelia H Ikhlas Andreas Dwiyanto Andrianingsih Anugrah Pramuja Arie Gunawan Arya Dimas Setiadi Avicienna Adhi Narendro Purnomo badriawan sukma Bagas Ade S Bagas Prayoga Ben Rahman Bimo Anggoro Seno Binsar Pamungkas Batu Bara Dandi Putra Denissa A. Putri Dhea Andarweni Eka Permana Putra Eldy Dwi Sentosa Fahmi Apriliansyah Fauziah Fauziah Firdo Andri Saputra Galih Rakasiwi Gatot Soepriyono Ghifari Yusuf Abdillah Haidar Ali Hanni Deswita Heru Saputro Intan Putri Ferina Iskandar Fitri Iskandar Fitri Iskandar Fitri Iskandar Fitri Iwan Wahyudin M. Iwan Wahyudin M. Mustaqim Mauludani Muhammad Mochammad Arya Darmawan Mohammad Iwan Wahyuddin Muhammad Ilham Muhammad Naufal Rifqi Muhammad Rizky Hamdan Naufal Rifqi Niam Shofi Oky Triadi Sampurno Olipa Sarta Matilda Purba Puji Ariyanto Raihan Abdi Negoro Rian Rasyidhi Richard Ronaldo Marbun Rifqi Habibi Sachrrial Rifqi Habibi Sachrrial Rosyidah Rahmah Septi Andryana Shandy Nurjaman Siti Emalia Saqila Sri Intan Maharani Tio Adi Kurniawan Ucuk Darusalam Vendy Blessing Gulo Yoga Septian Nugraha