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Abstrak :

Proses produksi pada industri proses  bersifat kontinyu  dan lebih banyak menggunakan otomatisasi di setiap bagian proses produksi dibandingkan industri diskrit. Sehingga pemeliharaan pada industri proses cenderung lebih  siap, sesuai industri 4.0, untuk memberikan data-data real time tentang kondisi mesin yang kemudian dianalisis menggunakan big data, dibandingkan industri diskrit. Penelitian sebelumnya menunjukkan bahwa terdapat delapan skenario terkait perkembangan manufaktur digital era industri 4.0 yaitu data analitis, sistem informasi yang interoperable, pendidikan dan pelatihan, perencanaan pemeliharaan berbasis fakta, prosedur kerja cerdas,  perencanaan pemeliharaan dengan perspektif sistem, standar dan peraturan lingkungan. Skenario tersebut digunakan sebagai masukan untuk rekomendasi strategi dalam implementasi industri 4.0 pada  bidang pemeliharaan di industri proses. Skenario tersebut dianalisa menggunakan metode Interpretative Structural Modelling (ISM), dimana pengambilan data menggunakan penilaian pakar dalam bentuk kuesioner  sehingga diperoleh keterkaitan masing masing skenario dan suatu model diagraph ISM. Analisa lebih lanjut, diperoleh nilai dependent yang rendah dan nilai driver power yang tinggi dari delapan skenario, yang kemudian dapat diketahui sebagai faktor kunci untuk rekomendasi strategi  pemeliharaan.

 

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Process industries usually use  more automation due to their continuous process compare to discrete industry.  Then, maintenance in industry process have better preparedness  to get real machine data to facility big data analysis in industry 4.0 than discrete industry. Research according maintenance in industry 4.0 era identified eight the most probable scenarios for maintenance organisations which are data analytics, interoperable information systems, big data management, education and training, fact-based maintenance planning, smart work procedures, maintenance planning with a systems perspective, and environmental legislation and standards. These scenarios was used as direct input to strategic development of recommendation industry 4.0 implementation in process industry maintenance. These scenario was analyzed by Interpretative Structural Modelling (ISM) method, where  expert’s opinion was collected using questionnaire to give directional relationship of these scenarios  and develop a diagraph ISM structure. More analysis approach, low dependent and high driver power value of scenario was identified as a key success factor for maintenance strategy in process industry.

Abstrak :
Background: Number of patients with tuberculosis (TB) in the region of Surakarta ranked 10th largest in the Central Java, although the government has already implemented the DOTS strategy. One factor contributing to the high number of TB patients is the lack of public knowledge of TB. The population of the city of Surakarta is 552.650 inhabitants and 12.480 of them live in Kalurahan Jagalan. Of the 12,480 people, nearly 60 percent of them have junior high school education and below. This requires education about TB to improve people's understanding of TB with the right method. Objective: to determine the effect of counseling using the lecture method in increasing public knowledge of TB disease in the Sunday Morning Prayer of Jagalan Baiturrohman Mosque. Method: This study used one group pretest and posttest pre-experimental research design involving 84 research subjects. Counseling was conducted with lecture methods on research subjects. Pretest and posttest were conducted to determine the effectiveness of the lecture method counseling. Results: The results showed that the average value of pre-test was 5.48 (1.2) while the average value of the post-test was 7.42 (0.9). The results of the analysis using Wilcoxon statistical test found that there was a significant difference between the mean of the pre-test value with the mean post-test value (p = 0,000). Conclusion: counseling with varied lecture methods is an effective method to increase public knowledge about tuberculosis

Abstrak :
Penelitian ini secara komprehensif melihat pengaruh likuiditas dengan menggunakan proksi LOT terhadap perubahan yield di pasar keuangan Indonesia setelah mengontrol variabel-variabel umum penentu yield seperti, umur, variabilitas harga, dan faktor-faktor makroekonomi. Secara spesifik penelitian ini menggunakan sukuk sebagai unit analisa. Penelitian ini berkontribusi mengisi kekosongan studi empiris terkait pengaruh likuiditas pada perubahan yield di pasar sukuk Indonesia. Hasil estimasi menunjukan bahwa likuiditas dengan proksi LOT ?dihargai? pada perubahan yield sukuk di Indonesia. Namun, terdapat perbedaan efek ekonomis likuiditas terhadapa perubahan yield diantara sukuk negara dan sukuk korporasi. Temuan lain menunjukan bahwa periode krisis 2008 secara signifikan memengaruhi sukuk korporasi namun tidak pada sukuk negara. ...... The study comprehensively examines the impact of liquidity, using proxy LOT, on yield changes in the Indonesian financial market after controlling for the common sukuk-specific (price variability and age of asset) and macroeconomic variables. In particular, we use sukuk as unit of analysis. The study contributes new empirical evidence the impact of liquidity on yield changes sukuk in Indonesia. Our Findings justify that sukuk liquidity (using proxy LOT) is priced on yield changes in Indonesia. However, there is a difference impact of liquidity on yield changes between government sukuk and corporate sukuk. The other finding shows that 2008 financial crisis significantly affect corporate sukuk but the effect statistically seems to disappear in the government sukuk.