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All Journal Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal SENSITEK ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Indonesian Journal Accounting (IJAcc) Journal of Big Data Analytic and Artificial Intelligence Journal Collabits
Astriyani, Erna
Universitas Raharja
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Audit Sistem Informasi Terhadap Sistem Pembelian Di Aplikasi Shopee Menggunakan Framework Cobit 5 Dwi, Rosmawati; Astriyani, Erna; Salsabila, Fadia; Fitriani, Hidayah; Gracia, Gracia
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 1 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i1.3714

Abstract

Aplikasi e-commerce seperti Shopee menjadi simbol penting dalam kemajuan perdagangan daring, menawarkan kemudahan akses, variasi produk yang luas, dan pengalaman berbelanja yang memuaskan. Di balik kecanggihan tersebut, keamanan dan integritas sistem informasi menjadi faktor krusial yang harus dijaga. Penulis melakukan penelitian ini berdasarkan studi pustaka tentang audit sistem informasi menggunakan framework COBIT 5 sub part DSS. Penulis menyebar kuesioner terhadap pengguna shopee. Hasil kuisioner lalu dinilai berdasarkan tingkat kematangan dan dianalisis. Hasil dari rekapitulasi tingkat model maturity level penelitian audit sistem terhadap pembelian di aplikasi Shopee, yaitu berada di level 3 dan 4. Kelemahan terdapat pada submain DSS05, dimana memiliki nilai kematangan paling kecil dari domain lainnya yaitu 3,42.
Web-Based Food Ordering Information System at Naonaru’s Kitchen Astriyani, Erna; Rahmani, Aulia; Elvina, Amanda; Noviantika, Fauziah
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.31385

Abstract

Naonaru's Kitchen is one of the restaurants that provides a variety of foods such as fried rice, food made from seafood, burgers, pizza and various types of drinks. The current order management system is still running manually starting from recording orders from customers using order paper then handed over the order paper to the kitchen and every day the cashier must recap proof of payment one by one to make income reports. The current running system is considered less effective and can slow down the operational activities of restaurants every day, besides that the current running system causes problems, namely if the condition of the restaurant is crowded then the waiter often forgets which order comes first, order notes are often stacked in the hands of the cashier due to lack of time to the kitchen to inform of incoming orders,  Sometimes the cashier loses the order note when the customer is about to make a payment and takes time to make an income report because the cashier must recap the proof of payment one by one. This research produces a food & beverage ordering information system that helps cashiers in managing food and beverage orders so that they can provide value of menu order effectiveness for customers. This research uses Pieces for Analysis methods, diagram design using UML applications and coding using PHP programming language and MySQL databases, System development using RAD and system testing using blackbox testing.
An ESP32-Based IoT System for Blind Spot Detection in Logistics Vehicles Ilamsyah, Ilamsyah; Kusumah, Hendra; Astriyani, Erna; Taufik, Muhamad Ikhsan
Journal Sensi: Strategic of Education in Information System Vol 11 No 2 (2025): Journal SENSI
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v11i2.4072

Abstract

The increasing number of vehicles in the logistics industry has led to a higher risk of accidents due to vehicle blind spots. PT. Aerofood ACS requires a real-time, cost-effective, and easily deployable monitoring system to enhance the safety and operational efficiency of their EBRO trucks. To address this need, this research develops an Internet of Things (IoT)-based blind spot monitoring system using ESP32. The device design methodology includes a prototyping approach and data collection through observation, interviews with stakeholders, and literature studies in system development. This system utilizes HC-SR04 ultrasonic sensors to detect objects in blind spot areas, where the obtained data is processed by ESP32 and displayed on an LCD. Additionally, information is transmitted to the cloud for real-time monitoring. The primary objective of this study is to design and implement a monitoring system capable of providing early warnings to drivers to reduce accident risks. Alerts are provided through LED indicators, buzzers, and IoT notifications, ensuring that drivers can promptly respond to potential hazards. The research findings indicate that the developed system can accurately detect blind spots and effectively issue warnings. Thus, this system serves as an innovative solution that can be implemented for various logistics needs in compliance with PT. Aerofood ACS's safety standards.
Implementation of RevoU Tech Academy's Independent Campus Program to Increase Digital Talent Capacity Astriyani, Erna; Cholisoh, Novi; Amalia, Andiena; Syaputra, Harian
Journal Sensi: Strategic of Education in Information System Vol 11 No 2 (2025): Journal SENSI
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v11i2.4073

Abstract

The Merdeka Belajar Kampus Merdeka (MBKM) program aims to enrich students' hard and soft skills, preparing them better for the ever-changing challenges of the times. One of the independent study programs is RevoU Tech Academy "Learn Data Analytics & Software Development With AI" which focuses on developing skills in the fields of Data Analytics and Software Engineering. This journal describes the implementation of the RevoU Tech Academy program and its effects on participants using a qualitative descriptive approach. The program is conducted for 5 months, with a 17-week curriculum that covers Data Processing in Data Analytics, Data Visualization & Communication in Data Analytics with AI Tools, Introduction to Web Development, Front-End Development with AI Tools, and Career Development program. Participants are not only given lectures but also practice their knowledge through various assignments and a capstone project. The results of the study showed that the program was successful in developing participants' skills in Data Analytics and Software Engineering. They were able to clean data, analyze data, build visualizations, develop web applications.
Blockchain For Education Purpose: Essential Topology Aini, Qurotul; Lutfiani, Ninda; Santoso, Nuke Puji Lestari; Sulistiawati, Sulistiawati; Astriyani, Erna
APTISI Transactions on Management (ATM) Vol 5 No 2 (2021): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i2.1506

Abstract

Blockchain technology is known for its large-scale digitisation trends that play an important role in various organisations. Because it is distributed and decentralized from blockchain, this feature makes the role of blockchain technologies based on products and services significantly different from previous technology offerings. The value proposition offered by this blockchain is very suitable to be applied in education. After a few years this caused disruption from various industry circles, current educational areas including those that are very perceived by the Indonesian people there is no progress and road in place. It is possible that in the next ten years, the educational actors who are less sensitive will one by one fall because of the storm-cast disruption technology. The educational institution is one of which is aware of the advantages and extraordinary potential of blockchain technology. Among other things, a digital signature certificate is important in the context of digital archiving to verify the authenticity of a document in an educational institution. But the lack of education from the community makes ignorance about the point of the advantage of blockchain technology that can be applied in the field of education. Therefore, a public understanding of the blockchain is packaged in the form of ontology on the education shutter. This research in particular is exploring the ontology approach of using root merkle methods in providing solutions to the application of blockchain, including slow process and small storage space. This issue causes it to be very difficult for educational institutions to store processes and stages of learning into the blockchain. This research can be the cornerstone of identifying solutions from certificates of digital signatures in terms of archiving, authentication and digital verification on the design of a new breakthrough framework with an ontology approach to blockchain educational design.
Perancangan Sistem Informasi Pengelolaan Biaya Perawatan Truck Hebel Pada PT Maju Sukses Mandiri Blok Astriyani, Erna; Paramitha, Dinda; Destiany, Yulinda; Baihaqi, Ahmad; Setiawan, Reza
ADI Bisnis Digital Interdisiplin Jurnal Vol 1 No 2 Desember (2020): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v1i2.193

Abstract

Perkembangan ilmu teknologi yang semakin pesat, dunia usaha ikut meramaikan perkembangan teknologi tersebut, yang dibantu dengan media komputer dalam melaksanakan kegiatan usahanya. Maka, untuk mendukung hal tersebut PT. Maju Sukses Mandiri Blok yang merupakan salah satu perusahaan yang bergerak di bidang distribusi bahan material harus selalu inovatif dan kreatif untuk mengikuti perkembangan teknologi , yaitu dengan menerapkan suatu sistem pengelolaan biaya perawatan truck yang terintegrasi dan berbasis web sehingga dapat digunakan dimana saja dan kapan saja. Dalam penelitian ini akan dijelaskan mengenai metode penelitian yang digunakan, metode wawancara, studi pustaka, metode analisa sistem dengan mengunakan Pieces, dan beberapa elisitasi sampai akhir rancangan serta manfaat dari sistem pengelolaan biaya perawatan truck hebel itu sendiri, juga menggnunakan metode perancangan program yang digambarkan dengan UML (Unified Modelling Language), wr pada implementasinya ditampilkann program, perangkat lunak, perangkat keras dan hak akses. Maka dapat disimpulkan bahwa sistem pengelolaan biaya perawatan truck hebel pada PT Maju Sukses Mandiri Blok masih belum optimal, sistem yang diusulkan ini dapat memaksimalkan berbagai bentuk proses, serta dapat dijadikan media informasi yang valid bagi seluruh aktivitas PT. Maju Sukses Mandiri Blok yang tentunya mempermudah proses pengelolaan biaya yang harus dikeluarkan. Maka dari itu, peneliti ingin mengangkat pembahasan diatas lebih lanjut dengan merancang dan membangun sistem yang dapat membantu dalam pengelolaan biaya perawatan truck hebel dengan tujuan agar dapat dilakukan secara baik dan mencapai tujuan yang diinginkan.
Analisis Konseptual Fusi Multimodal Wajah dan Visual Speech untuk Autentikasi Biometrik Non-Vokal terhadap Deepfake Roihan, Ahmad; Dwi, Rosmawati; Astriyani, Erna
Journal of Big Data Analytic and Artificial Intelligence Vol 8 No 2 (2025): JBIDAI Desember 2025
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v8i2.84

Abstract

Biometric authentication systems still face fundamental limitations, particularly in unimodal approaches that are vulnerable to environmental variations and visual spoofing attacks. To address these challenges, multimodal biometrics integrating physiological and behavioral traits have become an increasingly relevant approach. This study presents an analytical review of recent research in visual multimodal biometrics, with a focus on score-level fusion strategies and the integration of static face recognition and dynamic lip movement analysis as a non-vocal authentication mechanism. The literature synthesis indicates that score-level fusion is the most flexible and stable approach for combining heterogeneous biometric modalities, especially when integrating static spatial features and dynamic temporal patterns. Furthermore, Transformer-based deep learning architectures are identified as having significant potential for modeling the temporal dependencies of lip movements. This study also highlights key security challenges, particularly presentation attacks and visual-only deepfakes, and emphasizes the importance of visual dynamics–based liveness detection as an integral component of biometric authentication systems. Based on these findings, the study formulates a conceptual framework for visual multimodal biometric authentication that integrates identity verification and liveness detection within a unified process, while also identifying future research opportunities, including self-supervised learning, model optimization for resource-constrained devices, and the design of more discriminative visual passphrases.
Co-Authors Achmad Adam Pebrianto Agung Irawan Ahmad Ricky Alfariz Ahmad Roihan, Ahmad Ajay Supriadi Amalia, Andiena Andri Lukmana Ari Asmawati Baihaqi, Ahmad Cholisoh, Novi Denis Jabbar Nur Destiany, Yulinda Desy Apriani Devana, Viola Tashya Dionysius Fajar Wicaksono Dirham Fatra Fatra Dhamara Dwi, Rosmawati Eka Juliyawati Elvina, Amanda Fahram, Muhammad Khaidir Fatra Dhamara, Dirham Fatra Feni Setiawati Fiskarina Nasyah Putri Fitriani, Hidayah Fredy Susanto Gracia, Gracia Handy Januar Permana Harfizar, Harfizar Harian Syaputra Haryani, Hendriyati Herman Herman Ilamsyah Ilamsyah, Ilamsyah Indria, Upi Jihan Fahira Kurniawati, Santi Kusumah, Hendra Listina Nadhia N Maimunah - Mardiana Mardiana Meri Mayang Sari Mulyati Mulyati Nanda Try Aditya Ninda Lutfiani Noviantika, Fauziah Nur Azizah Nurita Eka Widianingsih Padeli Padeli Paramitha, Dinda Qurotul Aini Radiyanto Radiyanto Rahmadi Rahmadi Rahmani, Aulia Reza Setiawan Ria Wulandari Rifai, Danang Salsabila, Fadia Santi Kurniawati Santoso, Nuke Puji Lestari Sulistiawati Sulistiawati Tanti Mayang Sari Tarisya Ramadhan Taufik, Muhamad Ikhsan