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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Begawe Teknologi Informasi Jurnal Multidisiplin Sahombu Journal of Social Work and Empowerment
Murpratiwi, Santi Ika
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Journal : Jurnal Teknik Informatika (JUTIF)

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DEVELOPMENT OF AN E-CANTEEN SYSTEM WITH EXTREME PROGRAMMING TO OPTIMIZE EFFICIENCY, TRANSPARENCY, AND ACCOUNTABILITY IN CANTEEN MANAGEMENT AT THE FACULTY OF ENGINEERING, MATARAM UNIVERSITY Murpratiwi, Santi Ika; Al Qadri, Ramadhani; Widiartha, Ida Bagus Ketut; Irmawati, Budi; Afwani, Royana; Agitha, Nadiyasari; Rassy, Regania Pasca
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.3449

Abstract

The e-Canteen system enhances efficiency and user experience in electronic-based canteen services. The study aimed to develop a platform streamlining transactions, inventory management, and interaction between customers and canteen service providers. Before implementation, critical issues identified included manual inventory management and slow ordering processes, which created inefficiencies. The system allows customers to order, pay, and track stock availability online, leading to a more efficient and convenient purchasing process. For canteen service providers, automated inventory management helps optimize stock control and reduces manual errors, promising a more streamlined and error-free operation. The E-Canteen system offers significant benefits to both customers and service providers. Customers enjoy a more efficient and convenient purchasing process, while service providers benefit from optimized stock control and reduced manual errors, fostering a more productive and error-free work environment. Additionally, BLU Unram can monitor canteen performance, enabling data-driven decisions to improve services and policies. The system was developed using the Extreme Programming (XP) method, which ensured a user-centered design and rapid adaptation to feedback. Findings from the study demonstrated a 30% improvement in operational efficiency, with user satisfaction significantly increased according to internal surveys. The E-Canteen system addresses the operational challenges of managing canteen services and integrates smoothly with modern technological advancements, providing a scalable and adaptive solution for future growth. This system effectively resolves issues in traditional canteen management, offering benefits to customers and service providers regarding efficiency, convenience, and service quality.
Incremental CNN-k-NN Hybrid Facial Recognition for Helmeted Facial Recognition in IoT-Enabled Smart Parking: A Case Study at Universitas Mataram Widiartha, Ida Bagus Ketut; Husodo, Ario Yudo; Thuy, Tran Thi Thanh; Murpratiwi, Santi Ika
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5447

Abstract

Helmeted rider identification challenges traditional facial recognition, especially in Indonesian campuses like UNRAM, where motorbike use is prevalent and theft risks are high. This study develops a hybrid CNN-k-NN system for secure parking access. The dataset contains 2,800 augmented images (Haar Cascade crop, 224x224 grayscale), with features extracted via VGG16/ResNet and classified using k-NN (k=1, Euclidean/Cosine). The system achieves 95.62% accuracy, with precision, recall, and F1 scores of 0.96. Incremental retraining reduces processing time to under 1 second, compared to 30 minutes for full retraining. The use of cosine similarity improves accuracy slightly over Euclidean distance. This solution enhances IoT-based smart campuses by enabling efficient, real-time identification and reducing theft by improving access control. It is adaptable to low-resource environments, supporting scalable deployments in smart parking and campus security systems.
Co-Authors Abdul Manan Adawiyah, Baiq Safitri Rabiah Afwani, Royana Agitha, Nadiyasari Agus Gunawan Al Qadri, Ramadhani Alamsyah, Noor Albar, Moh Ali Albar, Moh. Ali Anjarwani, Sri Endang Aranta, Arik Arimawarni, Rafika Ario Yudo Husodo, Ario Yudo Aristana, Made Dona Wahyu Bimantari, Joselina Rizki Budi Irmawati Cahyani, Armita Dwi Dwi Ratnasari Fitri Bimantoro Heri Wijayanto Huwae, Raphael Bianco I B K Widiartha I Gede Pasek Suta Wijaya I Gusti Agung Indrawan I Nyoman Widhi Adnyana I Wayan Agus Arimbawa, I Wayan Agus I Wayan Dharma Suryawan Irawati, Lulu Iswani, Fahrona Jatmika, Andy Hidayat Jatmiko, Andy Hidayat Jayusman, Dirga Kansha, Lyudza Aprilia Kompiang Martina Dinata Putri Kurrotaa'yun, Baiq Dwi Zulianti Luh Putu Rara Ayu Ratnaningrum Luqyana, Salsabila Made Sudarma Mantika, Salsabilla Meinarni, Ni Putu Suci Mulyawan, I Putu Arya Munirah, Zahrahtun Negara, I Gede Sunia Ni Kadek Ariasih, Ni Kadek Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Widantari Suandana Nurjamil, As'ad Muzakki Paramita, Delia Pramawati, I.D.A Tantri Putra, Putu Satria Udyana PUTU SUGIARTAWAN Raihan, Muhammad Dzulhi Rakhman, Mustafa Zohri Ramlah Ramlah Rassy, Regania Pasca Rizki, Muhammad Ainur Rosika, Herliana Rukmi Sari Hartati Sari, Gita Mailand Sari, Ni Wayan Yunita Suhada, Destia Thuy, Tran Thi Thanh Trieanto, Agil Ulya, Uswatul Wardiani, Nazmi Zulqarami, Hilman