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All Journal Jurnal Sains dan Seni ITS UNEJ e-Proceeding
Mukti Ratna Dewi
Jurusan Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Teknologi Sepuluh Nopember (ITS)
Arts Humanities Education

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Klasifikasi Hasil Pap Smear Test Sebagai Upaya Pencegahan Sekunder Penyakit Kanker Serviks di Rumah Sakit “X” Surabaya Menggunakan Piecewise Polynomial Smooth Support Vector Machine (PPSSVM) Mukti Ratna Dewi; Santi Wulan Purnami
Jurnal Sains dan Seni ITS Vol 4, No 1 (2015)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2916.135 KB) | DOI: 10.12962/j23373520.v4i1.8869

Abstract

Kanker serviks merupakan kanker yang menyerang leher rahim dan ditandai dengan pertumbuhan abnormal pada sel leher rahim. Berdasarkan data Riset Kesehatan Dasar tahun 2013, kanker serviks merupakan salah satu kanker yang paling sering menyerang perempuan di Indonesia. Oleh karena itu pencegahan sekunder melalui deteksi dini penting dilakukan. Penelitian ini mengangkat permasalahan klasifikasi hasil pap smear test di Rumah Sakit “X” Surabaya tahun 2010 yang didasarkan pada ketujuh faktor risiko, yaitu usia, usia pertama kali menstruasi, usia pertama kali melahirkan, siklus menstruasi, penggunaan alat kontrasepsi, paritas, dan riwayat keguguran menggunakan metode SSVM dengan piecewise polynomial function 1 (PPSSVM1) dan piecewise polynomial function 2 (PPSSVM2). Hasil penelitian menunjukkan bahwa dari 3586 pasien yang melakukan pap smear test, 1172 di antaranya menunjukkan hasil abnormal. Pada hasil klasifikasi pap smear test, metode PPSSVM1 memiliki rata-rata tingkat sensitivitas tertinggi, yaitu 91,22% pada data training dan 94,66% pada data testing. Sementara metode PPSSVM2 memiliki rata-rata nilai akurasi dan spesifisitas tertinggi, yaitu 89,22% dan 88,53% pada data training serta 92,84% dan 91,12% untuk data testing. Berdasarkan kurva ROC dan nilai AUC, kedua metode PPSSVM sama-sama baik dalam kasus pengklasifikan hasil pap smear test di Rumah Sakit “X” Surabaya. Model PPSSVM1 lebih baik digunakan bila tingkat sensitivitas lebih diutamakan. Sementara bila tingkat spesifisitas lebih diutamakan maka model PPSSVM2 lebih baik untuk digunakan.
ANALISIS KEPUASAN PENYINTAS COVID-19 PADA PROGRAM PENDAMPINGAN KELUARGA PASIEN COVID-19 Aprilia Damayanti; Dwi Endah Kusrini; Mukti Ratna Dewi
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 pandemic that attacked Indonesian society had considerable impact, both physically and mentally. Various kinds of efforts have been made by the government by opening KOGABWILHAN II Surabaya (RSLK) Field Hospital. RSLK in the process of healing patients not only focuses on medical field, but also non-medical by holding a Covid-19 Patient Family Assistance Program. RSLK has been established for 2 years, but currently the level of Covid-19 survivor satisfaction of the program and factors that affect satisfaction are unknown. To determine the Covid-19 survivor satisfaction of the program and affecting factors, using Binary Logistic Regression, obtained that satisfaction probability of Covid-19 survivors is 0,998 based on significant variables namely, reliability, responsiveness and assurance and the classification accuracy is 97,23%%. Meanwhile, to find out what factors are considered important and need to be maintained using Importance Performance Analysis obtained, average of satisfaction level is 3,381 included in scale 3 means "satisfied", and satisfaction factors spread dominantly in Quadrant II (Maintain Achievement) namely, identification of companion volunteers, ability of companion volunteers to deal with complaints or problems and questions from patients, accuracy of companion volunteers providing services and suitability of existing procedures, and speed of helping from companion volunteers. Keywords: Binary logistic regression, covid-19 patient family support program, importance performance analysis, satisfaction
Co-Authors Aprilia Damayanti Dwi Endah Kusrini Santi Wulan Purnami