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All Journal Jurnal Sistem Komputer KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Tech-E Jurnal Komputasi Jurnal Teknoinfo Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Tekno Kompak Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service International Journal of Electronics and Communications Systems Jurnal Inovasi Pembangunan Jurnal Pepadun Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) IJCOSIN : Indonesian Journal of Community Service and Innovation Journal of Artificial Intelligence and Technology Information Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Scientific Journal of Informatics
YOHANA TRI UTAMI, YOHANA TRI
Jurusan Ilmu Komputer, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Lampung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Enhancing Inventory and Transaction Management with Integrated E-Commerce Solutions: A Case Study of Desasa Home Decor Utami, Yohana Tri; Faradila, Dita; Ramadhanti, Karina Adityas; Muhaqiqin; Taufik, Rahman
Tech-E Vol. 8 No. 2 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v8i2.3168

Abstract

Esasa Home Decor is a store that specializes in selling various types of artificial flower home decorations. The use of information technology in data management is essential to ensure that inventory and transaction management are conducted swiftly and generate accurate reports. This system is integrated with the Shopee API to automatically retrieve product and transaction data. This integration allows for better monitoring of stock levels and transactions on the e-commerce platform, ensuring that the information remains up-to-date. The development method used in this study is Extreme Programming, which emphasizes close collaboration within the team and continuous testing to produce high-quality software. Data collection was conducted through interviews, analysis, and direct observation of the ongoing business processes at Esasa Home Decor. The result of this research is a management information system that facilitates store management and is integrated with the Shopee e-commerce platform. The User Acceptance Testing (UAT) yielded a score of 97.714%, indicating that the system is highly suitable for use. Additionally, the Black-Box testing concluded that the system functions as expected and according to plan. Thus, this system enhances the operational efficiency of Esasa Home Decor by streamlining inventory and transaction management while providing more accurate and timely reports.
Design of Virtual Map Building Using Unity 3D with MDLC Method Aristoteles, Aristoteles; Jasmine, Amelia; Utami, Yohana Tri; Lumbanraja, Favorisen R
International Journal of Electronics and Communications Systems Vol. 3 No. 1 (2023): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v3i1.17196

Abstract

Lampung University does routine activities every new academic year for students, especially for new students college in the Faculty of Engineering, Introduction to Campus Life for New Students (PKKMB), one of the main agendas of PKKMB is introducing every building and public facilities in Civil Engineering, also every building and the room in it. The current state of the COVID-19 pandemic makes the University of Lampung conduct learning activities by network (online).The area and number of buildings' public facilities will be an issue for new students and visitors since it takes longer to find information, explore, and understand the layout of the building environment. To address these issues, there is a need for technology that fulfills the requirements of information, efficiency, and new methods in introducing a building to visitors. These problems are expected to be resolved by developing a virtual 3D map application for Building A, the Dean of the Faculty of Engineering, and Building B the architectural engineering. The Multimedia Development Life Cycle (MDLC) method was used to develop this application. The application testing in this research uses two types of testing namely Alpha and Beta testing with a black box scheme. Alpha testing results show that the app is compatible with Android OS 8.1 to 11.1 and smartphones with 5.45 to 6.4-inch displays. It requires at least 4GB to 8GB RAM According to the Beta Testing the application resulted in an outstanding 90.2 percent satisfaction rate. It can be concluded that the virtual 3D map application for Dean's Office Building A and Architecture Engineering Building B of the Faculty of Engineering at Lampung University functions effectively and is rated as "Very Good" based on the established criteria and index.
An Exploration of TensorFlow-Enabled Convolutional Neural Network Model Development for Facial Recognition: Advancements in Student Attendance System Irawati, Anie Rose; Kurniawan, Didik; Utami, Yohana Tri; Taufik, Rahman
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.3585

Abstract

Purpose: Face recognition has become an increasingly intriguing field in artificial intelligence research. In this study,   This study aims to explore the application of CNNs, implemented through TensorFlow, to develop a robust model for enhancing facial recognition accuracy in student attendance systems. The focus of this research is the development of a model capable of recognizing student faces under various lighting conditions and poses in an academic environment, using a multi-class dataset of student images collected from internship attendance records at the Computer Science Department. Methods: The dataset, comprising facial images from 19 students, served as the foundation for training and validating the CNN model. The dataset, sourced from the computer science department's internship attendance records, included a total of 231 images for training and 59 images for validation. The preprocessing phase included facial area detection and categorization, resulting in a well-organized dataset for training and validation. The CNN architecture, consisting of seven layers, was meticulously designed to achieve optimal performance. Result: The model exhibited exceptional accuracy, reaching 93% on the validation dataset after 300 training epochs. Precision, recall, and F1-score metrics were employed for a detailed evaluation across diverse classes, highlighting the model's proficiency in accurately categorizing facial images. Comparative analyses with a VGG-16-based model showcased the superiority of the proposed CNN architecture. Moreover, the implementation of a web service demonstrated the practical applicability of the model, providing accurate predictions with a remarkable response time of less than 0.3 seconds. Novelty: This comprehensive study not only advances face recognition technology but also presents a model applicable to real-world scenarios, particularly in student attendance systems.
Co-Authors ., Rusliyawati Ade Dwi Putra Ade Surahman Adhie Thyo Priandika Agnes Pramudani Agus Wantoro Akmal Junaidi Alita, Debby Amelia Jasmine andika Saputra Anisa Raden Arry Verdian Astria Hijriani AULIYA RAHMAN ISNIAN, AULIYA RAHMAN Bagus Rahmat Riadi Bidari Tasya Salsabila Desi Ramayanti Devi Nur Anisa Dewi Asiah Shofiana Dian Pitaloka Dina Eka Nurvazly Dwi Sakethi Dwi Sakethi Faradila, Dita Favorisen R. Lumbanraja Febi Eka Febriansyah febi eka febriansyah, febi eka Ferdi Yulianto ferdi yulianto Fitri Handayani Harco Leslie Hendric, Spit Warnars Heningtyas, Yunda Humairoh Ratu Ayu Imam Ahmad Imam Ahmad Irawati, Anie Rose Irwan Adi Pribadi Irwan Adi Pribadi Jasmine, Amelia Lisa Adelia Lumbanraja, Favorisen R M Rizky Apriawan Machudor Yusman Muhammad Saleh Muhaqiqin Noval Aditya Marlon Pasaribu, A. Ferico Octaviansyah Prabowo, Rizky Ramadhanti, Karina Adityas Rangga Agustiantino Rangkas Andreansyah Rd. Irwan Adi Pribadi Riki Sofyan Sanriomi Sintaro Shofiana, Dewi Asiah Sigit Tunggul Waskito Siti Laelatul Chasanah Siti Laelatul Chasanah Sri Dianing Asri SUAIDAH SUAIDAH, SUAIDAH Tasya Aprilla Almuqaramah Yuton Taufik, Rahman Wartariyus, Wartariyus Wulan Seftiani Yulianto, Ferdi Yuri Rahmanto