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All Journal Jurnal Inotera Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUTECH : Journal Education and Technology JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi JRIIN :Jurnal Riset Informatika dan Inovasi APPA : Jurnal Pengabdian Kepada Masyarakat Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Dede Handayani
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Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Komparasi Performa REST API Laravel 11 dan CodeIgniter 4 Menggunakan Metode Eksperimental valentina, Putri Eka; Dede Handayani; Surya Rizky Maulana Ibrahim; Nanang, Nanang; Kusumah Putra, Faris Maulana
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11274

Abstract

This study evaluates the performance of Laravel 11 and CodeIgniter 4 REST API frameworks using an experimental method with controlled variables. Both frameworks were built with identical CRUD endpoints and stress-tested using Apache JMeter 5.6 at concurrency levels of 100, 500, and 1,000 users, with 10 replications each. Key metrics were response time, throughput (RPS), and server memory usage. Results show CodeIgniter 4 consistently outperforms Laravel 11 in raw speed: 70 ms vs. 100 ms at 100 users; 310 ms vs. 480 ms at 1,000 users — a 35–55% advantage. Throughput ratio reached 2.09:1 in favor of CodeIgniter 4 (1,420 vs. 680 RPS at low load), while memory consumption was 66% lower (10 MB vs. 30 MB per request). Analysis of ORM impact shows Eloquent adds a 24% penalty over Query Builder (385 ms vs. 310 ms for 1,000-record fetches). However, applying route caching, config caching, and OPcache boosted Laravel 11 throughput by 75% (reaching 1,180 RPS) and narrowed response time to 85 ms. These findings provide empirical guidance: CodeIgniter 4 suits lightweight microservices with limited resources, while Laravel 11 is preferable for complex enterprise systems demanding security, maintainability, and team productivity.
KLASIFIKASI PENYAKIT KULIT KUCING BERBASIS GEJALA KLINIS MENGGUNAKAN SVM DAN CHI-SQUARE Alfian Dwi Saputra; Dede Handayani; Tonny Wahyu Aji
JUTECH : Journal Education and Technology Vol 7, No 1 (2026): JUTECH JUNI (IN PRESS)
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v7i1.7209

Abstract

Scabies and dermatophytosis in cats often present overlapping clinical symptoms, making initial screening difficult. This study aimed to develop a web-based application for classifying feline skin diseases using the Support Vector Machine (SVM) algorithm. Medical record data from an Animal Health Center were preprocessed, transformed into binary features, and selected using the Chi-Square test. Two classification scenarios were developed: Mode 1 distinguished scabies from non-scabies using 6,864 records, while Mode 2 differentiated scabies from dermatophytosis using 752 records. The results showed that Mode 1 achieved 86.1% accuracy, 91% recall, and a ROC AUC of 0.903, whereas Mode 2 achieved 70.1% accuracy, 83% scabies recall, an F1-score of 0.69, and a ROC AUC of 0.715. The Chi-Square analysis identified crusts or scabs as one of the most influential features for scabies classification. The novelty of this study lies in combining tabular clinical symptoms, Chi-Square feature selection, two SVM classification scenarios, and web-based implementation. Black Box Testing confirmed that all primary functions operated as designed. The system can support screening and veterinary decision-making but should not replace definitive clinical diagnosis.
Co-Authors Ade Purnama Ahmad Haical Ramadhan Alfian Dwi Saputra Alfian Febiyanto Ananda Ramadhan R.A Andreas Kristian Tri Setyo Arief Alkhoir David Rizky L. Fadly Ariadi Gusti Sulaiman Pembada Hanifa Zahara Hasbi Pandiani Hendri Yahya Hugo A.J. Tarigan Irawan Ardiansyah Irwanto Sitorus Kandhi Nala Dri Asmara Khanif Faozi Khanif Faozi Kristian Pati Wator Kusumah Putra, Faris Maulana M Berlian Wahyu S M. Iqbal Nurdin Siregar M. Rafi Adzaky Muhamad Fauzan Zibran Muhamad Rafly Rafsanzany Muhammad AlFathir Shaumi Muhammad Alfi Ardianto Muhammad Fauzan Muhammad Ikbal Mula Arman Gulo nanang nanang Niki Ramdhoni Fauzi Nurman Fauzan H. Oke Hariansyah Perianto Rafli Rakha Satya Maldini Ria Ester Rifqi Hifnuzin Ahmad Riris Lima Putri Rizal Fauzi Sandi Satria Augustian Sri ayu maryati Sulistio Supiyan, Dede Surya Rizky Maulana Ibrahim Tonny Wahyu Aji Valentina, Putri Eka Wiwin Winarti Yusuf Ilham Zamzami Zakaria