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All Journal Jurnal IPTEK International Journal of Engineering, Science and Information Technology
Arief Senja Fitrani
Universitas Muhammadiyah Sidoarjo
Astronomy 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 Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Implementasi Service Quality pada Pelayanan Distribusi Ikan di Kabupaten Sidoarjo Wiwik Sulistiyowati; Verani Hartati; Arief Senja Fitrani
Jurnal IPTEK Vol 19, No 2 (2015)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2015.v19i2.4

Abstract

Dengan meningkatnya kebutuhan akan ikan segar bagi masyarakat Sidoarjo dan sekitarnya, maka dinas terkait yaitu Dinas Perikanan dan Kelautan Kabupaten Sidoarjo berusaha memperbaiki kualitas pelayanan distribusi dari produsen yaitu petani UKM Ikan yang berada di Sidoarjo sampai kepada tangan konsumen akhir yaitu rumah tangga. Kualitas merupakan faktor kunci yang membawa keberhasilan bisnis, pertumbuhan, dan peningkatan posisi bersaing. Tujuan dari penelitian ini adalah untuk mengetahui tingkat kualitas pelayanan distribusi ikan di Pasar Ikan dan atribut yang mempunyai nilai negatif tertinggi.Sehingga untuk mengetahui kualitas pelayanan distribusi ikan di pasar ikan tersebut dengan menggunakan atribut Physical Distribution Service Quality. Service Quality (kualitas layanan) merupakan upaya pemenuhan kebutuhan dan keinginan pelanggan serta ketepatan penyampaiannya untuk mengimbangi harapan pelanggan.Hasil penyebaran kuesioner didapatkan data atribut yang mempunyai nilai negatif tertinggi adalah atribut Atribut A.2 yaitu penyediaan informasi mengenai ketersediaan ikan yang terdapat pada dimensi availability sebesar -0.04269.
Optimization of Feature Selection on Student Complaint Data Using Recursive Feature Elimination to Improve Academic Service Quality Hamzah Setiawan; Arief Senja Fitrani; Yunianita Rahmawati; Cakra Wirabumi Putra; Firdausi Usqi Salsabila
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.707

Abstract

This study aims to optimize the feature selection process on student complaint data regarding academic services in universities using the Recursive Feature Elimination (RFE) method. Student complaints' diverse and complex nature requires in-depth analysis to identify crucial features that affect service satisfaction. An accurate feature selection process can help universities understand the most frequently reported issues, enabling them to respond and improve services more effectively. The research utilizes complaint data from various aspects of academic services, such as administration, facilities, and faculty interactions. After preprocessing the data to remove noise and irrelevant entries, RFE is applied to select the most relevant features. Subsequently, a classification model is built using the selected features to identify the most significant complaint patterns. Model evaluation is conducted through cross-validation techniques to ensure accuracy and reliability, with metrics such as accuracy, precision, recall, and F1-score. The results demonstrate that the RFE method significantly enhances model performance in selecting essential features, making the classification model more efficient and accurate in predicting student complaints. Thus, this study contributes significantly to assisting universities in enhancing the quality of academic services through a more targeted analysis of student complaints. Implementing this method will improve the complaint-handling process and increase overall student satisfaction
Co-Authors Cakra Wirabumi Putra Firdausi Usqi Salsabila Hamzah Setiawan Verani Hartati Wiwik Sulistiyowati Yunianita Rahmawati