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Hubungan Perah ASI, Perawatan Payudara dan Teknik Menyusui dengan Kejadian Bendungan ASI pada Ibu Maharani, Wulan; Rini, Ageng Septa
Indonesia Journal of Midwifery Sciences Vol. 3 No. 2 (2024): Indonesia Journal of Midwifery Sciences
Publisher : SCIPRO Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53801/ijms.v3i2.152

Abstract

Latar Belakang: Menurut WHO tahun 2015 di Amerika Serikat persentase perempuan menyusui yang mengalami bendungan ASI rata-rata mencapai 87,05%. Perah ASI adalah ASI yang didapatkan dengan cara diperah dari payudara untuk kemudian disimpan dan nantinya diberikan pada bayi. Perawatan payudara merupakan perawatan payudara yang dilakukan pada ibu pasca melahirkan/nifas untuk melancarkan sirkulasi darah dan mencegah tersumbatnya saluran susu sehingga memperlancar pengeluaran ASI. Teknik menyusui yang benar adalah cara memberikan ASI kepada bayi dengan perlekatan dan posisi ibu dan bayi dengan benar. Tujuan: Tujuan penelitian ini untuk mengetahui hubungan perah ASI, perawatan payudara dan teknik menyusui dengan kejadian bendungan ASI pada ibu nifas. Metode: Metodologi Penelitian ini termasuk penelitian deskriptif analitik dengan pendekatan cross-sectional, sampel dalam penelitian ini diambil menggunakan total sampling yaitu sebanyak 50 orang. Instrument penelitian menggunakan kuesioner. Data di olah dengan menggunakan SPSS 18 dengan uji statistic chi-square test. Hasil: Hasil uji statistik Chi-square variabel perah ASI (P-value = 0,012), perawatan payudara (P-value = 0,005), dan teknik menyusui (P-value = 0,002). Kesimpulan: Ada hubungan perah ASI, perawatan payudara dan teknik menyusui dengan kejadian bendungan ASI pada ibu nifas di BPM Bidan M Mangunreja tahun 2021.
KUAT TEKAN PADA CAMPURAN BETON DENGAN BAKTERI YANG DIINOKULASI DAN LIMBAH BENDA UJI Rayhan Asy Syukri, Muhammad; Maharani, Wulan; Muhammad Mauludin, Luthfi; Karnisah, Iin; Petrus Krisologus, Yulianto
Jurnal Jalan Jembatan Vol 42 No 1 (2025)
Publisher : Direktorat Bina Teknik Jalan dan Jembatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58499/jatan.v42i1.1306

Abstract

Concrete is a material commonly used as road and bridge structure and is very prone to cracking in hard-to-reach areas. Innovation in the form of self-healing concrete (SHC) can repair its cracks. Meanwhile, concrete waste remains a challenge that needs to be addressed and utilized to reduce the reliance on natural materials. This study utilises Bacillus megaterium bacteria as a self-healing agent and concrete waste as a substitute for coarse aggregate applied in regular concrete (20 MPa) with a mix design based on ACI 211.1-91. Variations in bacterial content are 2% and 4% of the weight of water, and variations in concrete waste are 25%, 50%, and 75% of the weight of coarse aggregate with a substitution of 10% fly ash and 2% calcium lactate of the weight of cement. The results showed an increase in compressive strength of 5.39% from 21.5 MPa for waste concrete to 20.4 MPa but a decrease of 0.46% from 21.6 MPa for regular concrete. Then, the bacteria showed self-healing or covered the cracks on the seventh day after testing. Additionally, the bacteria were able to restore the strength of the concrete by 80.22% to 99.19% after retesting on the 28th day. Therefore, concrete with bacteria based on concrete waste has the potential to be applied to road and bridge construction. Kata Kunci: bacillus megaterium, beton normal, kuat tekan, limbah beton, self-healing concrete.   Keywords: bacillus megaterium, compressive strength, regular concrete, self-healing concrete, waste concrete
CLUSTERING DAERAH TERDAMPAK SAMPAH DI INDONESIA MENGGUNAKAN ALGORITMA DBSCAN. Santi, Dessy; Maharani, Wulan; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Mukhlis, Baso; Kali, Agustinus
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.751

Abstract

The waste problem in Indonesia is a complex and evolving environmental issue, particularly in areas with high population density and economic activity. This study aims to cluster regions affected by waste issues using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. DBSCAN was chosen for its ability to identify spatial patterns and detect outliers without requiring a predefined number of clusters. The data used includes spatial and non-spatial information related to waste volume and regional characteristics across various provinces in Indonesia. The results show that DBSCAN effectively groups waste-affected areas into several clusters based on data density and spatial proximity. These clusters can serve as a foundation for determining policy priorities for regional and national waste management. This research is expected to contribute to the development of more targeted and data-driven waste management strategies.