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All Journal Jurnal Ilmiah Informatika Komputer Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Mantik Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika INTI Nusa Mandiri Infotek : Jurnal Informatika dan Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Insan Journal of Innovative and Creativity Jurnal Sistem Komputer (SISKOM)
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Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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ANALISIS KANKER PARU-PARU MENGGUNAKAN ALGORITMA LOGISTIC REGESSION DAN RANDOM FOREST Alfianti, Zulia Imami; Ginabila, Ginabila; Fauzi , Ahmad; Pratiwi, Risca Lusiana
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.7063

Abstract

Kanker paru-paru merupakan salah satu jenis kanker dengan tingkat kematian tertinggi di dunia, yang disebabkan oleh faktor gaya hidup seperti merokok dan konsumsi alkohol, serta faktor genetik. Mengingat deteksi dini konvensional memerlukan waktu dan biaya besar, penelitian ini mengusulkan pendekatan Machine Learning yang lebih efisien untuk memprediksi risiko penyakit. Menggunakan algoritma Logistic Regression dan Random Forest pada dataset Survey Lung Cancer yang berisi 309 responden dengan 16 variabel gaya hidup dan kesehatan , penelitian ini melibatkan tahapan data understanding, data preparation (termasuk encoding dan scaling), modeling, dan evaluation. Hasil analisis menunjukkan performa yang sangat baik untuk kedua algoritma dengan nilai Akurasi 96,77% dan nilai Presisi, Recall, serta F1-score mencapai 0,9833. Meskipun metrik utama identik, perbandingan kurva ROC menunjukkan bahwa model Random Forest (AUC = 0,958) sedikit lebih unggul dari Logistic Regression (AUC = 0,917). Berdasarkan analisis, faktor usia (AGE) teridentifikasi sebagai variabel paling berpengaruh terhadap risiko kanker paru-paru, diikuti oleh konsumsi alkohol, alergi, dan tekanan sosial7. Hasil ini diharapkan menjadi referensi dalam pengembangan sistem prediksi dan deteksi dini berbasis Machine Learning.
Analisis Kualitas Layanan Terhadap Kepuasan Pengguna Aplikasi Clean Hris Menggunakan Metode Webqual 4.0 Tukan, Maria Fatima Jedo; Azis, Mochammad Abdul; Fauzi, Ahmad; Ginabila
Jurnal Sistem Komputer (SISKOM) Vol. 6 No. 2 (2026): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/siskom.v6i2.1871

Abstract

This study aims to analyze the effect of Clean HRIS website service quality on user satisfaction using the WebQual 4.0 method. The independent variables in this study consist of usability, information quality, and service interaction quality, while the dependent variable is user satisfaction. This research applies a quantitative approach, with data collected through questionnaires distributed to 100 active users of Clean HRIS. The data were analyzed using validity testing, reliability testing, classical assumption testing, multiple linear regression, t-test, F-test, and coefficient of determination analysis. The results show that the three WebQual 4.0 variables, namely usability, information quality, and service interaction quality, have a positive and significant effect on user satisfaction. The coefficient of determination indicates that service quality variables are able to explain a substantial proportion of the variation in user satisfaction with the Clean HRIS website. Descriptively, users are categorized as satisfied with the aspects of usability, information quality, and service interaction quality. Therefore, the service quality of the Clean HRIS website plays an important role in improving user satisfaction. This study recommends that application managers continuously improve information clarity, ease of navigation, interface design, and service responsiveness to enhance user satisfaction in a sustainable manner.
Co-Authors Abdul Hamid Ahmad Fauzi Ahmad Fauzi Ahmad Hafidzul Kahfi Akmal Dirgantara Angga Kusuma Azis, Mochammad Abdul Dany, Rahmad Eko Yulianto Fauzi , Ahmad Fauzi Ahmad Muda Fauzi, Ahamd Hafidinulloh Fitrohan Imam Nawawi Imam Nawawi, Imam Indra Chaidir, Indra Isroni Isroni Jamhari Jamhari Mochammad Abdul Azis Muhammad Iqbal Prasetyo, Rizal Pratiwi, Risca Lusiana Rayhan Dharmawan Risca Lusiana Pratiwi Siti Fauziah Sriyadi Sriyadi, Sriyadi Tukan, Maria Fatima Jedo Zulia Imami Alfianti Zulia Imami Alfianti