Judul: Rapid Assessment on 4.0 Industrial Readiness Index
Abstrak: Penilaian indeks kesiapan industri 4.0 dilakukan untuk mengetahui kesiapan suatu industri terkait revolusi industri keempat. Hal ini dilakukan untuk mengetahui sejauh mana kemajuan industri dibandingkan kondisi ideal industri 4.0 saat ini. Industri di Indonesia diharapkan dapat mengukur kesiapannya untuk meningkatkan daya saing industri di pasar internasional yang cenderung menurun sejak 2017. Singapore Smart Industry Readiness Index (SIRI) merupakan salah satu cara untuk menilai kesiapan industri beradaptasi dengan kondisi Industri 4.0, seperti dorongan pemerintah Indonesia agar industri mengukur kesiapan mereka dalam menghadapi era Industri 4.0. Dalam penelitian ini digunakan SIRI sebagai alat pengukuran indeks kesiapan industri di Indonesia. SIRI mengelompokkan kesiapan industri dalam 4 kategori: unready, initial, adequate, dan ready. Tiga industri berbeda skala yang dijadikan responden yaitu, Hakko Kombucha, PT XYZ, dan PT Bintang Toedjoe. Hasil penilaian mengklasifikasikan perusahaan Hakko Kombucha pada Initial Class, PT XYZ pada Adequate Class, dan PT Bintang Toedjoe pada Ready Class. Hasil ini berarti pilar dan dimensi SIRI dapat digunakan untuk mengukur berbagai skala kesiapan mencapai Industri 4.0 di Indonesia. Industri tersebut dapat meningkatkan kinerjanya berdasarkan hasil perhitungan dengan SIRI untuk berkembang dan bertransformasi menuju Industri 4.0.
Keyword: industri 4.0, indeks kesiapan industri, SIRI

Judul: Analysis Determinants of Indonesia's Manufacturing Share Towards the Industrial Revolution 4.0
Abstrak: Sektor manufaktur menjadi mesin pertumbuhan penting bagi ekonomi Indonesia. Namun sejak terjadinya krisis keuangan pada tahun 1997-1998, kontribusi sektor manufaktur terhadap PDB terus mengalami penurunan yang sering disebut deindustrialisasi. Bahkan laju pertumbuhan sektor manufaktur cenderung lebih lambat dibanding laju pertumbuhan ekonomi nasional dari tahun 2005 hingga saat ini. Sementara itu, Indonesia telah memasuki Revolusi Industri 4.0 yang menjadi tujuan era industrialisasi Indonesia saat ini. Tujuan dari penelitian ini adalah untuk menganalisis determinan pangsa sektor manufaktur untuk menyongsong implementasi Industri 4.0. Konsep pengemudi produksi industri oleh A.T Kearney dijadikan acuan dalam menentukan variabel independen dalam analisis dengan menggunakan metode Error Correction Model (ECM) pendekatan Autoregressive Distributed Lag (ARDL). Hasil penelitian menunjukkan bahwa semua indikator yang dianalisis memiliki dasar ekonometrik kointegrasi dan berpengaruh signifikan terhadap pangsa manufaktur Indonesia. Adapun indikator tersebut adalah tingkat keterbukaan perdagangan, jumlah tenaga kerja manufaktur, kredit domestik, emisi karbon, Penanaman Modal Asing (PMA), dan tingkat ekspor dengan intensitas R&D tinggi. Artinya, implementasi Industri 4.0 tergantung pada kebijakan yang dirancang oleh otoritas ekonomi dan politik mengenai faktor-faktor tersebut. Sehingga mampu membalik arah deindustrialisasi menuju era industrialisasi Industri 4.0 sehingga mampu meningkatkan perekonomian nasional Indonesia., The manufacturing sector is an important growth engine for the Indonesian economy. However, since the financial crisis in 1997-1998, the contribution of the manufacturing sector to GDP has continued to decline, which is often referred to as deindustrialization. Even the growth rate of the manufacturing sector tends to be slower than the national economic growth rate from 2005 to the present. Meanwhile, Indonesia has entered the Industrial Revolution 4.0 which is the goal of Indonesia's current industrialization era. The purpose of this study is to analyze the determinants of the share of the manufacturing sector to meet the implementation of Industry 4.0. The concept of industrial production driver by A.T Kearney is used as a reference in determining the independent variables in the analysis using the Error Correction Model (ECM) method with the Autoregressive Distributed Lag (ARDL) approach. The results showed that all analyzed indicators have a cointegration econometric basis and have a significant effect on Indonesia's manufacturing share. The indicators are the level of trade openness, the number of manufacturing workers, domestic credit, carbon emissions, foreign investment (FDI), and the level of exports with high R&D intensity. That is, the implementation of Industry 4.0 depends on policies designed by economic and political authorities regarding these factors. So as to be able to reverse the direction of deindustrialization towards the industrialization era of Industry 4.0 so as to improve Indonesia's national economy. Keywords: Deindustrialization, Industry 4.0, Manufacturing Sector
Keyword: Deindustrialisasi, Industri 4.0, Sektor Manufaktur

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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