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"Perwakilan Kecamatan Majalaya adalah bagian dari kecamatan Karawang Propinsi Daerah Tingkat I Jawa Barat dimana fungsi kepemimpinan kesehatan tokoh masyarakat masih perlu ditingkatkan. Infra struktur kesehatan masyarakat belum berfungsi sebagaimana yang diharapkan dan cenderung menurun. Unit analisa adalah semua tokoh masyarakat desa dan ke-Lurahan seperwakilan kecamatan Majalaya. Metode pendekatan yang digunakan adalah studi kwantitatif dengan jenis penelitian cross sectional, untuk mempelajari faktor-faktor yang berhubungan dengan fungsi kepemimpinan kesehatan. Analisa statistic dengan uji chi square. Hasil penelitian menunjukan bahwa dua faktor persepsi, dua faktor predisposing dan satu faktor enabiing berhubungan dengan fungsi kepemimpinan kesehatan. Lima hipotesa minor yang berhubungan dengan fungsi kepemimpinan kesehatan secara bermakna adalah sebagai berikut :1. Semakin baik persepsi tokoh masyarakat terhadap pembinaan puskesmas melalui pelatihan, semakin baik fungsi kepemimpinan kesehatannya p = 0,03568.2. Semakin baik persepsi tokoh masyarakat terhadap pembinaan puskesmas melalui forum informal, semakin baik fungsi kepemimpinan kesehatannya p = 0,001113. Wanita memiliki fungsi kepemimpinan kesehatan yang lebih baik dibanding pria, p = 0,006744. Semakin tinggi pendidikan tokoh masyarakat semakin baik fungsi kepemimpinan kesehatannya, p = 0,04621.5. Kepala desa dan sekretaris desa atau kelurahan memiliki kepemimpinan kesehatan yang lebih baik dibanding jabatan tokoh masyarakat lainnya p = 0,00231. Kurangnya informasi kesehatan yang terarah dan belum dimanfaatkannya forum formal sesuai ketentuan yang berlaku, memberi dampak yang kurang menguntungkan. Oleh sebab itu pelatihan yang terarah dan memanfaatkan forum formal di pedesaan adalah yang terbaik.

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The Factors Effecting Leadership Function of Health Public Figure at the Representative Sub-District Majalaya Karawang West Java 1994The Representative sub-district Majalaya is a part of sub-district Karawang, Autonomous Adminstrative Region I of West Java Provincial, where the function of health public figure still needs to improve, public health infrastructure has not functioned yet as it is expected and indicated declined. Analysis unit is the entire villages and kelurahan public figures of the whole sub-district Majalaya representative.

The method of approach applied is quantitative study under cross-sectional type of research, to learn the factors related to health leadership functions. Statistic analysis by means of chi square test.

The result of research indicated that two perception factors, two predisposing factors and one enabling factor effected the improvement of health leadership function.

Five minor hypothesis significantly relating to health leadership function are as follows:

1. Getting higher the toma perception toward the training, the leadership function is getting better. P = 0,03568.

2. Getting higher the toma perception toward informal forum, the leadership function is getting better. P = 0,00111.

3. Women has better health leadership function than men. P = 0,00674

4. Getting higher toma's education is, the leadership function is getting better. P = 0,04621.

5. The head of village and the village's secretary has a better health leadership function compared with other toma's functions. P = 0.00231.

Lack of guided health information and the unused formal forum in line with the applicable stipulation has a negative impact. Therefore, the guided training and the use of formal forum is the best way."

"Preventive health behavior penting untuk dilakukan karena dapat mencegah individu terinfeksi COVID-19 dan dapat menurunkan tingkat penularan COVID-19. DKI Jakarta merupakan provinsi dengan jumlah kasus COVID-19 terbanyak di Indonesia. Oleh sebab itu, penting untuk memahami faktor yang memengaruhi preventive health behavior masyarakat DKI Jakarta. Salah satu teori yang bisa digunakan untuk memprediksi preventive health behavior adalah teori Health Belief Model. Penelitian ini bertujuan untuk menganalisa komponen Health Belief Model mana yang berpengaruh terhadap preventive health behavior masyarakat provinsi DKI Jakarta selama pandemi COVID-19. Pengumpulan data dilakukan secara daring dengan menyebar kuesioner kepada partisipan yang berisi alat ukur preventive health behavior (Kim, & Kim, 2020) dan Health Belief Model (Shahnazi et al., 2020). 189 orang berusia minimal 19 tahun yang tinggal di DKI Jakarta berpartisipasi pada penelitian ini. Analisis data dilakukan menggunakan multiple regression dengan IBM SPSS. Hasil penelitian menunjukkan bahwa perceived severity (β = 0,140, p = 0,046), perceived barriers (β = -0,281, p = 0,000), cues to action (β = 0,129, p = 0,049), dan self-efficacy (β = 0,217, p = 0,002) dapat memprediksi preventive health behavior. Sedangkan, perceived susceptibility dan perceived benefits tidak dapat memprediksi preventive health behavior. Dengan kata lain, semakin individu meyakini adanya konsekuensi apabila terkena COVID-19 (perceived severity); semakin rendah aspek negatif yang menghalangi individu untuk melakukan preventive health behavior (perceived barriers); semakin banyak stimulus yang diperoleh individu (cues to action); dan semakin individu merasa yakin akan kemampuannya untuk melakukan preventive health behavior (self-efficacy), maka semakin tinggi pula preventive health behavior-nya. Selain itu, komponen health belief model yang paling kuat memprediksi preventive health behavior adalah perceived barriers.

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Preventive health behavior is important because it can prevent individuals from being infected with COVID-19 and can reduce the transmission rate of COVID-19. DKI Jakarta is the province with the highest number of COVID-19 cases in Indonesia. Therefore, it is important to understand the factors that influence the preventive health behavior of the citizens of the DKI Jakarta province. One theory that can be used to predict preventive health behavior is the Health Belief Model. This study aims to analyze which components of the Health Belief Model affect the preventive health behavior of the citizens of the DKI Jakarta province during the COVID-19 pandemic. Data collection was carried out online by distributing questionnaires to participants containing preventive health behavior (Kim, & Kim, 2020) and the Health Belief Model (Shahnazi et al., 2020) measurement tools. 189 respondents with a minimum age of 19 years and living in DKI Jakarta participated in this study. Data analysis was performed using multiple regression with IBM SPSS. The results showed that perceived severity (β = 0,140, p = 0,046), perceived barriers (β = -0,281, p = 0,000), cues to action (β = 0,129, p = 0,049), and self-efficacy (β = 0,217, p = 0,002) predicts preventive health behavior. Meanwhile, perceived susceptibility and perceived benefits can not predict preventive health behavior. In other words, the more individuals believe there are consequences if they are infected to COVID-19 (perceived severity); the lower the negative factors that prevent individuals from carrying out preventive health behavior (perceived barriers); the more stimulus the individual gets (cues to action); and the more individual feel confident in their ability to perform preventive health behavior (self-efficacy), the higher their preventive health behavior. In addition, the component health belief model that most strongly predicts preventive health behavior is perceived barriers."