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All Journal Jurnal Kolaboratif Sains Serambi Engineering
Nini Rahayu Nur
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Identifikasi dan Analisis Rumah Sehat Berdasarkan Standar Kementerian Kesehatan (Studi Kasus: Gampong Mulia, Kota Banda Aceh) Arisaputri, Sri Batara Nurfajri; Elysa Wulandari; Nini Rahayu Nur; Shabira Salsabila
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

A healthy home is a crucial indicator in establishing liveable settlements and supporting the overall well-being of residents. This study aims to identify and analyse the condition of healthy homes in Gampong Mulia, Kuta Alam Subdistrict, Banda Aceh City, based on indicators established by the Indonesian Ministry of Health. The location was selected due to its dense urban character and its status as a recipient area for post-tsunami housing assistance following the 2004 disaster. Over time, many of these aid houses have been repurposed as rental housing, leading to variations in physical conditions and resident behaviours. A descriptive quantitative method was applied, using field surveys and interviews. Twenty-five sample houses across five village zones were assessed based on three components: physical condition, sanitation facilities, and resident behaviour. The results show that 88% of the houses meet the criteria for healthy homes (total score ≥ 1,068), while 12% fall below the standard, all of which are located in Tgk. Di Leupeu Hamlet—an area with a notable concentration of rental units. The highest average score was for resident behaviour (425), followed by physical condition (534), and sanitation (322). This research highlights the need for targeted interventions, particularly in post-disaster communities, to support sustainable and equitable settlement planning.
Tipologi Kecamatan di Kota Palu Berdasarkan Karakteristik Demografi dan Ketersediaan Fasilitas Pelayanan Dasar Menggunakan Algoritma K-Means Clustering: Typology of Sub-districts in Palu Based on Demographic Characteristics and Availability of Basic Service Facilities Using the K-Means Clustering Algorithm Rasdiana; Yan Radhinal; Hadid, Adina Khusnudzan; Tri Wahyuningsih; Nini Rahayu Nur
Jurnal Kolaboratif Sains Vol. 8 No. 11: November 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i11.9267

Abstract

Penelitian ini menganalisis tipologi kecamatan di Kota Palu berdasarkan karakteristik demografi dan ketersediaan fasilitas pelayanan dasar dengan menggunakan algoritma K-Means Clustering. Perubahan struktur ruang pascabencana 2018 memunculkan ketimpangan distribusi layanan publik, sehingga diperlukan pendekatan berbasis data untuk mengidentifikasi kebutuhan masing-masing wilayah. Data sekunder dari BPS mencakup delapan kecamatan dengan empat variabel utama, yaitu kepadatan penduduk, rasio fasilitas pendidikan, kesehatan, dan peribadatan. Setelah proses normalisasi dan penentuan jumlah klaster optimal menggunakan Elbow Method, diperoleh tiga klaster. Klaster 1 terdiri dari lima kecamatan dengan defisit konsisten pada layanan pendidikan; Klaster 0 mencakup wilayah berpenduduk jarang yang menunjukkan fenomena rasio semu; sedangkan Klaster 2, yakni Palu Timur, merepresentasikan pusat kota padat dengan konsentrasi fasilitas peribadatan tertinggi. Hasil penelitian menegaskan perlunya kebijakan spasial yang diferensial sesuai karakteristik masing-masing klaster.
Co-Authors Arisaputri, Sri Batara Nurfajri Elysa Wulandari Hadid, Adina Khusnudzan Rasdiana Shabira Salsabila Tri Wahyuningsih Yan Radhinal