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Rena Ningsih, Rena
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Civil Engineering, Building, Construction & Architecture Health Professions Medicine & Pharmacology Nursing

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PENGARUH KOLOM PASIR TERHADAP KONSOLIDASI TANAH LEMPUNG LUNAK Listyawan, Anto Budi; Wiqoyah, Qunik; Ningsih, Rena; Widhi Satriyana, Marten Widhi Satriyana Ramadlan
Eco Rekayasa Vol. 11. No.1, Maret 2015
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

The  road weaving near Sragen city Central Java has been daily problem  in  last decade. The  existing of high expansive  clay soil in subgrade below the road foundation has been identified as the major cause of this problem. Sand Column become one solution to improve the subgrade since it can ab-sorb the water  from the void of clay soil and drain into the channel. The re-search develops a model of Sand column in laboratorium. The box of 1.0 m x 0.4 m x 0.4 m has been created. 15 cm diameter of sand column then installed at the toe and samples for consolidation test are taken from various distances from the centre of column (i.e. 16.67 cm; 33.33 cm; and 50 cm). The result shows that the Sand Column can improve the soft clay soil in terms of consolidation. The coefficient of consolidation increases as the compression index drops. Consequently, the consolidation settlement can be re-duced significantly.
PENGARUH KOLOM PASIR TERHADAP KONSOLIDASI TANAH LEMPUNG LUNAK Listyawan, Anto Budi; Wiqoyah, Qunik; Ningsih, Rena; Widhi Satriyana, Marten Widhi Satriyana Ramadlan
Eco Rekayasa: Jurnal Teknik Sipil Vol. 11. No.1, Maret 2015
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

The  road weaving near Sragen city Central Java has been daily problem  in  last decade. The  existing of high expansive  clay soil in subgrade below the road foundation has been identified as the major cause of this problem. Sand Column become one solution to improve the subgrade since it can ab-sorb the water  from the void of clay soil and drain into the channel. The re-search develops a model of Sand column in laboratorium. The box of 1.0 m x 0.4 m x 0.4 m has been created. 15 cm diameter of sand column then installed at the toe and samples for consolidation test are taken from various distances from the centre of column (i.e. 16.67 cm; 33.33 cm; and 50 cm). The result shows that the Sand Column can improve the soft clay soil in terms of consolidation. The coefficient of consolidation increases as the compression index drops. Consequently, the consolidation settlement can be re-duced significantly.
Identifikasi Prediktor Risiko Preeklampsia pada Maternal untuk Model Prediksi Berbasis Machine Learning Ningsih, Rena; Silawati, Tengku Hartian; Zulfa, Siti Zakiah; Maharani, Cinthia; Nurjannah, Eka
Jurnal Ners Vol. 9 No. 4 (2025): OKTOBER 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i4.50752

Abstract

Latar Belakang: Preeklampsia (PE) merupakan penyebab utama morbiditas dan mortalitas ibu serta perinatal di Indonesia. Identifikasi dini faktor risiko merupakan kunci pencegahan. Penelitian ini bertujuan untuk menganalisis faktor risiko maternal yang signifikan terhadap kejadian PE dan mengidentifikasi kandidat variabel prediktor untuk pengembangan model machine learning (ML). Metode: Penelitian case-control retrospektif ini menggunakan data rekam medis 284 ibu bersalin (142 kasus PE dan 142 kontrol normotensif) di RSUD Arifin Achmad dari Januari 2021 hingga Desember 2024. Analisis statistik deskriptif, bivariat (uji Mann-Whitney, Chi-square), dan korelasi dilakukan untuk mengidentifikasi faktor risiko signifikan dan kekuatan asosiasinya dengan PE. Hasil: Terdapat perbedaan signifikan antara kelompok PE dan normotensif dalam hal Mean Arterial Pressure (MAP) (124,83 vs 88,67 mmHg; p<0,001), Indeks Massa Tubuh (IMT) (24,85 vs 21,79; p<0,001), usia ibu (31 vs 28 tahun; p=0,005), dan berbagai parameter hematologi (hemoglobin, trombosit, indeks trombosit, dan limfosit). Analisis korelasi mengidentifikasi MAP sebagai prediktor terkuat (r=0,856), diikuti oleh riwayat penyakit ibu (r=0,399) dan IMT (r=0,322). Luaran perinatal (berat badan lahir, panjang badan lahir, nilai Apgar) secara signifikan lebih buruk pada kelompok PE. Kesimpulan: MAP, IMT, usia maternal, dan parameter hematologi tertentu merupakan prediktor kuat PE. Kombinasi variabel-variabel ini, yang mudah diperoleh dari rekam medis rutin, membentuk dasar yang kuat untuk pengembangan model prediksi PE berbasis ML yang andal dan dapat diimplementasikan secara klinis.
Co-Authors Anto Budi Listyawan Maharani, Cinthia Marten Widhi Satriyana Ramadlan Widhi Satriyana, Marten Widhi Satriyana Ramadlan Nurjannah, Eka Qunik Wiqoyah Silawati, Tengku Hartian Widhi Satriyana, Marten Widhi Satriyana Ramadlan Zulfa, Siti Zakiah