The incidence of children with autisme spectrum disorder has rapidly increased, starting fom 1:1500 in 1987 to1:100 in year 2001. The parent's motivation for actively being involved in treatment programs, such as consultation with the expert and improvement of their knowledge will increase the treatment success up to 80%. Therefore it is of paramount importance to identify the parent's motivation and knowledge about Autisme treatment as a baseline for improving parent's active involvement. A cross sectional research design was carried out using twenty parents (mother/father or both) as responden is in Autisme treatment center: A-Plus' Dharma Wanita PUNM Malang District from15 April -31 May 2003. The parents motivation and knowledge level was measured using close ended questionnaire. In general, autisme is mostly identified in male child (55%), first child (45%)and diagnosed by children specialist or psychiatrist (75%) at the age of 0-2 year (75%). Most of the parents (85%) have a high motivation in gaining children healing but 60% parents have low knowledge level about Autisme treatment with mass media as the main information source (85%). There is no significant relationship (p > 0,05)between parent's motivation and knowledge level.

Data dari ILO tahun 1998 menyebutkan hampir setiap tahun sebanyak 2 juta pekerja meninggal dunia karena kecelakaan kerja yang disebabkan oleh faktor kelelahan kerja. Penelitian tersebut menyatakan dari 58.115 sampel, 32,8% diantaranya atau sekitar 18.828 sampel menderita kelelahan. Penelitian ini bertujuan untuk meneliti faktor-faktor yang berhubungan dengan kelelahan kerja di Department Area Produksi MCD, Plant M, PT. “X”, Tahun  2017. penelitian ini menggunakan metode penelitian kuantitatif dengan desain studi cross sectional. Populasi dalam penelitian ini adalah seluruh pekerja di Department Area Produksi MCD, Plant M, PT ”X”. Jumlah responden sebanyak 109 orang diambil dengan teknik accidental sampling dan dianalisis dengan analisis univariat dan analisis bivariat.  Berdasarkan hasil analisis univariat, responden yang paling banyak mengalami kelelahan sedang (51,4%), berusia 23 tahun (10,1%), status normal(47,7%), tidak memiliki riwayat penyakit (72,5%), riwayat penyakit dengan gangguan pencernaan (14,7%), kebiasaan merokok (52,3%), <10 batang/hari (33,9%), bekerja secara shif (87,2%), terpapar ≥85 Dba (60,6%). Berdasarkan hasil analisis bivariat, terdapat variabel yang menunjukan adanya hubungan yang signifikan dengan kelelahan yaitu variabel kebiasaan merokok ( p=0,045, OR=2,4; CI95%=1,0-5,3 ), shift kerja ( p=0,005, OR=5,6; CI95%=1,6-19,6 ) dan kebisingan ( p=0,000, OR=5,1; CI95%=2,2-12,0 ). Sedangkan variabel yang tidak ada hubungan dengan kelelahan adalah usia, status gizi, dan riwayat penyakit.---Data from the ILO in 1998 states that almost 2 million workers die every year due to work accidents caused by work fatigue. The study stated that of 58,115 samples, 32.8% of them or around 18,828 samples suffered from fatigue. This study aims to examine the factors associated with work fatigue in the MCD Production Area Department, Plant M, PT. "X", 2017. This study uses quantitative research methods with cross sectional study design. The population in this study were all workers in the MCD Production Area Department, Plant M, PT "X". The number of respondents was 109 people taken by accidental sampling technique and analyzed by univariate analysis and bivariate analysis. Based on the results of univariate analysis, the respondents who experienced the most moderate fatigue (51.4%), aged 23 years (10.1%), normal status (47.7%), had no history of disease (72.5%), history diseases with digestive disorders (14.7%), smoking habits (52.3%), <10 cigarettes / day (33.9%), working as a shif (87.2%), exposed to ≥85 Dba (60.6%) %). Based on the results of bivariate analysis, there are variables that show a significant relationship with fatigue, namely the smoking habit variable (p = 0.045, OR = 2.4; CI95% = 1.0-5.3), work shift (p = 0.005, OR = 5.6; CI95% = 1.6-19.6) and noise (p = 0.000, OR = 5.1; CI95% = 2.2-12.0). While the variables that are not related to fatigue are age, nutritional status, and disease history.