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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer 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 ) Jurnal Teknik Informatika (JUTIF) Jurnal Begawe Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pepadu English and Tourism Studies Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Agitha, Nadiyasari
Program Studi Teknik Informatika, Fakultas Teknik - Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
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.
IMPROVING SHOPPING EXPERIENCES AT NTB MALL THROUGH PERSONALIZED PRODUCT RECOMMENDATIONS USING CONTENT-BASED FILTERING Husodo, Ario Yudo; Bimantoro, Fitri; Agitha, Nadiyasari; Grendis, Nuraqilla Waidha Bintang
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4194

Abstract

NTB MALL, an e-commerce platform specializing in unique products from micro, small, and medium enterprises (MSMEs) in West Nusa Tenggara, faces challenges in providing personalized product recommendations due to the diversity of its product categories and consumer preferences. To address this, this study implements a content-based filtering (CBF) approach utilizing Term Frequency-Inverse Document Frequency (TF-IDF) and cosine similarity to enhance recommendation accuracy. The system analyzes product attributes and user interaction history to generate tailored suggestions. Experimental results indicate that cosine similarity outperforms Euclidean distance in recommendation precision, achieving an accuracy of 89% and a Mean Reciprocal Rank (MRR) of 95%. Furthermore, user feedback reveals that 93% of users found the recommendations highly relevant, 89% reported increased engagement, and 96% expressed satisfaction with the personalized shopping experience. This research provides a novel application of AI-driven recommendation systems in regional e-commerce marketplaces, demonstrating their potential to improve user experience and foster stronger connections between consumers and local producers.
Co-Authors Abdul Wafa Abdusysyakir Wajdi Aditia, Muhammad Rizqi Afwani, Royana Agus Gunawan Ahmad Zafrullah Mardiansyah Ahmad Zafrullah Mardiansyah Aisyah Khairun Nisa Al Qadri, Ramadhani Albar, Moh. Ali Andy Hidayat Jatmika anggin risna Anisah Mutmainah Anjarwani, Sri Endang Ario Yudo Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Budi Irmawati Budi Irmawati Cahyani, Armita Dwi Diaz Guntur Febrian Dwi Ratnasari Dwiyansaputra, Ramaditia Evi Ana Kusuma Lestari Fathony Arroisy Muhammad Febriansyah, Lalu Dwiky Indrajid Fitri Bimantoro Ghazwan Septrian Ahmad Gigih Mathori Basil Grendis, Nuraqilla Waidha Bintang Hanifah, Fairuz Heri Wijayanto Humaira Indreswari Illina I B K Widiartha I Gede Pasek Suta Wijaya I Wayan Agus Arimbawa Ida Bagus Ketut Widiartha Ida Bagus Ketut Widiartha Indrawan, Rama Indri Rahmawati Yunus Irma Putri Rahayu Isaque Manteiga Joaquim Jatmika, Andy Hidayat Jatmika, Andy Hidayat Jurnal Pepadu Kurrotaa'yun, Baiq Dwi Zulianti Laeli Oktami Laily Hidhayah, Ratu Nisful Nisful Laily Lalu Novalino Roasta Ramadhan Lalu Rozi Wardiman M Azhar Mala Mardialina Marlina Safitri Media Isti Azzizah Moh Ali Albar Moh Ali Albar Moh. Ali Albar Moh. Ali Albar Muamar Ikhsan Muhammad Afif Ma'ruf Muliadi Murpratiwi, Santi Ika Mustaib, Robby Igfirly Mustiari Nabhan Rabbani Nanda Wafiya Ni Nyoman Wahyuni Indraswari Noor Alamsyah Noor Alamsyah Nuraqilla Waidha Bintang Grendis Puspita Asri Nurmalasari Putu Ayu Desi Anggara Santi Rabbani, Budiman Rahman, Fikri Raihan, Muhammad Dzulhi Raihan, Yusril Ramadhani, Rizky Insania Ramaditia Dwiyansaputra Rassy, Regania Pasca Rejalana Bayu Kurniawan Ridho Ilahi Riga Anggraini Putri Rochullah, Aulia Rojiman Hadi Saputra Romi Saefudin Royana Afwani Septiana Rohman Sri Endang Anjarwani Sri Endang Anjarwani Sri Endang Anjarwani Sri Endang Anjarwani Anjarwani Suhada, Destia Tria Ningrum, Farah WAHIDA, Nurul Widhagda, Nune Fathih Aditya Yunita Lestari