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All Journal Jurnal Teknologi Informasi dan Multimedia Prosiding National Conference for Community Service Project Telcomatics Journal of Information System and Technology (JOINT) Conference on Community Engagement Project (Concept) Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan
Sabariman Sabariman
Universitas Internasional Batam
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Other

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Pengembangan dan Implementasi Aplikasi XYZ Berbasis Mobile Prisicilia Mareta; Sabariman Sabariman
National Conference for Community Service Project (NaCosPro) Vol 5 No 1 (2023): The 5th National Conference for Community Service Project 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v5i1.8018

Abstract

Aplikasi XYZ telah berhasil dikembangkan sebagai solusi untuk meningkatkan efisiensi manajemen stok barang untuk memenuhi kebutuhan operasional perusahaan industri lapangan. Aplikasi ini bertujuan untuk mempermudah karyawan di lapangan dalam pengajuan penukaran dan mendapatkan slot barang seperti sepatu safety, helm safety, sarung tangan, dan barang lainnya. Dengan menggunakan metode RAD dalam proses pengembangan, aplikasi ini telah berhasil mengintegrasikan teknologi vending machine, aplikasi, dan website, sehingga mempermudah dan mempercepat sistem permintaan barang. Hasil dari pelaksanaan Pengabdian kepada Masyarakat ini memberikan kemudahan bagi karyawan dalam melakukan order kebutuhan perlengkapan lapangan. Disisi lain sistem yang dikembangkan ini akan mengurangi beban kerja administrasi yang terkait dengan manajemen permintaan barang yang dibutuhkan oleh karyawan lapangan, dengan adanya layanan ini dapat meningkatkan efisiensi dan pelayanan yang lebih cepat karena semua dilakukan melalui aplikasi.
Perancangan Chatbot pada PT Martindo Fine Foods Sebagai Solusi Peningkatan Efisiensi dan Layanan Lau, Eric; Yulianto, Andik; Sabariman
Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Vol. 2 No. 4 (2024): Juli 2024
Publisher : LPPM Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/madani.v2i4.9603

Abstract

PT Martindo Fine Foods menghadapi tantangan dalam merespons pertanyaan pelanggan secara tepat waktu, yang berakibat pada ketidakpuasan pelanggan dan beban kerja yang tinggi bagi karyawan. Untuk mengatasi permasalahan ini, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem chatbot yang dapat meningkatkan efisiensi operasional dan kualitas layanan pelanggan. Metode penelitian meliputi observasi, analisis kebutuhan, dan perancangan aplikasi. Hasil implementasi menunjukkan bahwa chatbot pada whatsapp mampu merespons berbagai pertanyaan umum pelanggan dengan cepat dan akurat, sehingga mengurangi jumlah pertanyaan yang harus ditangani secara manual oleh karyawan.
Analisis Dan Perancangan Program Inventori Pada Lucky Com Sama, Hendi; Siahaan, Mangapul; Syahputra, Bayu; Sabariman; Adi
Journal of Information System and Technology (JOINT) Vol. 6 No. 1 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i1.10372

Abstract

Lucky Com is a company where this company is engaged in the distribution of mobile phone accessories such as earphones, power banks, chargers, cables and so on. There are many types of goods available at Lucky Com so that there is a problem in recording stock which is done manually an error occurs. The author would like to provide input with the hope that it can be useful to overcome this problem by creating a web-based inventory system that can facilitate recording stock and goods transactions. The web-based inventory system can be processed by utilizing the PHP programming language and using hosting as a storage space that can be accessed online so that the system can be accessed online as well, and the author also uses a domain as the website address that will be created
Evaluasi Keamanan Sistem Autentikasi Biometrik pada Smartphone dan Rekomendasi Implementasi Optimal Felix Yeovandi; Sabariman Sabariman; Stefanus Eko Prasetyo
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.653

Abstract

Biometric authentication on smartphones is a modern solution for more practical and secure login security. This technology offers advantages such as speed of access and resistance to forgery compared to password-based methods. However, there are various weaknesses, such as the potential for exploitation through malware, spoofing, or brute force attacks that exploit security holes, such as Cancel-After-Match-Fail (CAMF) and Match-After-Lock (MAL). Additionally, hacked biometric data cannot be replaced, leaving users vulnerable to long-term security threats. To overcome these weaknesses, this article recommends a security approach based on Trusted Execution Environment (TEE), AES-256 encryption, spoofing detection based on liveness recognition, anti-tamper mechanisms, and the application of rate limiting. The secure authentication flow implementation is designed to protect biometric data locally without transmission to external servers, ensuring user integrity and privacy is maintained. This flow includes suspicious activity detection, login encryption, and data protection with advanced encryption. Through a combination of these technologies, the biometric authentication system is characterized as being able to significantly maximize security by minimizing the risk of attacks on user data. This research provides evaluation results that the DNN deep neural network model trained with AES-256 is characterized as being able to produce accuracy above 99.9% with less than 5,000 power traces. Then, the implementation of liveness detection is characterized as being able to produce an F1-Score of 97.78% and an HTER of 8.47% in the intra-dataset scenario, as well as an F1-Score of 74.77% and an HTER of 29.05% in the cross-dataset scenario. This combination of technologies provides secure and efficient biometric authentication without compromising user comfort.
Co-Authors Abdurrakhman Alhakim Adi Alexsandro Andik Yulianto Ayu Yulia Mutiara Daniel Lim Destiana Safitri Dewi Dewi Erika Chanada Erris Fernandy Erwin Yoe Eva Awaliya Felix Yeovandi Florentina Jasmine Getrudis Yetiana Wadhi Gladys Christiani Goharwin Goharwin Haeruddin Kelvin Ramadhani Tambunan Lau, Eric Lilian Nurul Wildani Lip Son Mardiana Ng Michelle Lim Muhammad Baharudin Mungkap Mangapul Siahaan Nofriyadi Nofriyadi Novi Sandra Prasetyo, Stefanus Eko Prisicilia Mareta Rainal Agus Setiawan Rico Kartono Riswanto Riswanto Sama, Hendi Serina Serina Sevilla Nadia Amanda Shely Juniarty Syahputra, Bayu Tiara Plorist Sibarani Vennes Owen Willy Andreas Yulianto, Andik Zulkarnain Zulkarnain