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All Journal Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) International Journal of Health Science
Ayu Fadhila
Universitas Negeri Semarang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Health Professions Mechanical Engineering Public Health Social Sciences Other

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The Association between Sociodemographic and Health Characteristics with the Attendance Rate of the Elderly School of Darun Najah, Sambak Village, Kajoran District Ayu Fadhila; Akhmal Raziq Kharazi
International Journal Of Health Science Vol. 5 No. 2 (2025): International Journal of Health
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijhs.v5i2.5509

Abstract

The United Nations states that the elderly population is increasing globally annually, from 771 million to 830 million people, accounting for 10 to 10,5% respectively. In Indonesia, the Central Bureau of Statistics reported the rise of the elderly population from 9,92% of the population in 2020 to 11,75% in 2023. Specifically in the Province of Central Java, the percentage of elderly population increases from 13,07% to 13,50% between 2022 and 2023. The rise of the elderly population could potentially pose a challenge to public development as they are often vulnerable and dependent, facing health and socioeconomic challenges. In order to combat this, the Government of Indonesia formed elderly schools, an educational and social program that aims to empower the elderly. This study aims to analyze the association between sociodemographic and health characteristic factors and the attendance rate of one of the elderly schools located in Central Java called The Elderly School of Darun Najah, Sambak Village, Kajoran District. This study uses an analytical observational quantitative approach with a cross-sectional design. Sampling is conducted using a total sampling design resulting in 40 respondents. Data analysis is conducted in univariate and bivariate (chi-square and fisher's exact test) methods. Significant factors (p-value<0,05) of the attendance rate of the elderly school include age, sex, marital status, and employment status, while blood pressure and body mass index are not significant (p-value>0,05). This study recommends that elderly school administrators provide personalized facilities and activities that cater to their participants' characteristics.
Analisis Faktor Dominan Terhadap PHBS Rumah Tangga Menggunakan SVM dan SHAP Wilayah Puskesmas Tepusen, Temangung Drajad Bima Ajipangestu; Novia Dewi Putri Ayuningtyas; Maesaroh Maesaroh; Arum Helmi Manggala Putri; Subinarto Subinarto; Ayu Fadhila
Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan Vol. 5 No. 1 (2025): Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan
Publisher : Utiliti Project Solution

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Abstract

Perilaku Hidup Bersih dan Sehat (PHBS) merupakan indikator penting dalam penilaian status kesehatan masyarakat. Penelitian ini bertujuan untuk mengklasifikasikan tingkat PHBS rumah tangga serta mengidentifikasi faktor dominan yang memengaruhinya di wilayah kerja Puskesmas Tepusen, Kecamatan Kaloran, Kabupaten Temanggung. Data diperoleh dari survei rumah tangga tahun 2024 sebanyak 4.425 responden, dengan pengisian kuesioner yang dilakukan oleh kader dan tenaga surveilans terlatih. Pengukuran mengacu pada 16 indikator PHBS terstandardisasi, yang telah divalidasi oleh Dinas Kesehatan, mencakup: persalinan oleh tenaga kesehatan, pemeriksaan kehamilan, pemberian ASI eksklusif, penimbangan balita, konsumsi gizi seimbang, penggunaan air bersih, kepemilikan jamban sehat, pengelolaan sampah, tidak merokok di dalam rumah, aktivitas fisik, mencuci tangan pakai sabun, menyikat gigi secara teratur, tidak mengonsumsi alkohol/narkoba, kepesertaan jaminan kesehatan, pemberantasan sarang nyamuk, serta konsumsi tablet tambah darah (TTD). Metode Support Vector Machine (SVM) digunakan untuk klasifikasi multikelas (Sehat Pratama, Madya, Utama, dan Paripurna), dengan skema pembagian data 80:20 dan validasi silang 5-fold untuk menghindari overfitting. Kernel linear menunjukkan akurasi tertinggi, sebesar 97,74%. Untuk mengevaluasi kontribusi setiap fitur terhadap hasil prediksi, digunakan metode interpretabilitas Shapley Additive Explanations (SHAP). Indikator “TIDAK_MEROKOK” memiliki nilai SHAP tertinggi (0.118313), diikuti “CEK_KESEHATAN” (0.037) dan “MINUM_TTD” (0.030). Hasil ini menunjukkan pentingnya intervensi berbasis data untuk pengendalian rokok, peningkatan layanan kesehatan preventif, dan pemenuhan gizi perempuan dalam meningkatkan status PHBS secara operasional.
Co-Authors Akhmal Raziq Kharazi Arum Helmi Manggala Putri Drajad Bima Ajipangestu Maesaroh Maesaroh Novia Dewi Putri Ayuningtyas Subinarto Subinarto