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All Journal JOISIE (Journal Of Information Systems And Informatics Engineering) Al-Aqlu : Jurnal Matematika, Teknik dan Sains Jurnal Wicara Desa
Aulia, Cantika
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences

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FORMULASI DAN EVALUASI FISIK SABUN CAIR EKSTRAK DAUN SAGA (ABRUS PRECATORIUS L.) DENGAN VARIASI KOH: Formulation And Physical Evaluation Of Saga Leaf Extract Liquid Soap (Abrus Precatorius L.) With Variations KOH Eka S, Nur Afifah; Elvaretta R.I, Louisa; Friska, Septiana; Fatmi, Ota Fiya; Sihhono, Sihhono; Aulia, Cantika
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.106

Abstract

Soap is often combined with sodium and potassium salt formulations of fatty acids derived from vegetable oils or animal fats. This study discusses the needs of the skin such as the manufacture of liquid soap with natural ingredients saga leaves. The research method used is by maceration method with 70% ethanol solvent soaked for 3 days at room temperature stirred every 8 hours. The purpose of the research that has been done is the formulation and evaluation of liquid soap preparation from saga leaf extract (Abrus Precatorius L.). Quality testing includes organoleptic test, pH test, viscosity test and foam height Test. Organoleptic test results showed that liquid soap is yellow, rancid odor, fine texture, pH test obtained all the results exceed the requirements of SNI 8-11, viscosity test all the results obtained are too low than the requirements of SNI is 400-4000cps and high foam test results obtained also do not meet the requirements of SNI is about 13-220 mm
UPAYA MENINGKATKAN KESADARAN DAN KREATIVITAS MASYARAKAT MELALUI PEMBUATAN PRODUK KOMPOS DAN ECOBRICK DI DESA BILEBANTE Brata, Dewa Gede Radya Pito; Sirtufillaeli, Sirtufillaeli; Hidayanti, Devina Permata; Datulmizan, Afrizki Agi; Alfarizi, Muhamad Satriawan; Zahrani, Hanifa; Aulia, Cantika; Lazuardi, Nikita Padmi; Hadiati, Ilmiatun Hadiati; Arnita, Eva; Zubair, Muh
Jurnal Wicara Vol 2 No 6 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i6.5620

Abstract

Kuliah Kerja Nyata (KKN) in Bilebante Village, Pringgarata Subdistrict, Central Lombok Regency, West Nusa Tenggara, aims to enhance waste management with a focus on creative economy and sustainable tourism. Bilebante Village, inhabited mainly by the productive age group and lacking adequate waste management facilities, faces significant waste issues, particularly the improper disposal of waste into rivers. This KKN program begins with a survey to identify problems and design solutions, followed by socialization about the importance of organic and inorganic waste management. The distribution of trashbags to residents aims to facilitate waste separation, and the controlling phase ensures the implementation of waste management methods through guidance and evaluation. The results show positive community responses, with residents starting to apply waste management practices by producing organic fertilizer and ecobricks. The program is expected to improve environmental cleanliness, advance the tourism village, and foster creative economic development in Bilebante Village.
ANALISIS POLA GEJALA PCOS MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Aulia, Cantika; Robani, M Tsabita; Nadrota Acta, Muhammad Fakhri; Mas Ud, Khalid Al; Saputra, Marco; Tania, Ken Ditha; Sari, Winda Kurnia
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 9 No 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4939

Abstract

Penelitian ini menerapkan algoritma K-Means untuk mengelompokkan pasien PCOS berdasarkan intensitas gejala. PCOS adalah gangguan hormonal yang sulit didiagnosa karena gejalanya beragam. Dengan menggunakan algoritma K-Means, hasil clustering menunjukkan tiga kategori utama: ringan, sedang, dan berat. Setiap klaster mencerminkan kombinasi gejala seperti siklus menstruasi tidak teratur, pertumbuhan rambut berlebih, dan perubahan suasana hati. Pendekatan ini efektif dalam membantu pemahaman pola distribusi gejala PCOS serta mendukung pengambilan keputusan medis yang lebih tepat.
Co-Authors Alfarizi, Muhamad Satriawan Arnita, Eva Brata, Dewa Gede Radya Pito Datulmizan, Afrizki Agi Eka S, Nur Afifah Elvaretta R.I, Louisa Fatmi, Ota Fiya Friska, Septiana Hadiati, Ilmiatun Hadiati Hidayanti, Devina Permata Ken Ditha Tania Lazuardi, Nikita Padmi Mas Ud, Khalid Al Nadrota Acta, Muhammad Fakhri Robani, M Tsabita Saputra, Marco Sihhono, Sihhono Sirtufillaeli, Sirtufillaeli Winda Kurnia Sari Zahrani, Hanifa Zubair, Muh