Mesin reng digunakan untuk memproduksi atap baja ringan jenis reng V belum sepenuhnya bekerja secara efektif. Hal ini ditunjukkan dengan adanya downtime, penurunan kecepatan produksi mesin, dan produk-produk yang tidak sesuai standard yang telah ditetapkan. Penelitian ini bertujuan untuk mengukur dan mengetahui tingkat efektivitas mesin reng dengan menggunakan metode Overall Equipment Effectiveness (OEE), mengidentifikasi faktor penyebab six big losses dengan menggunakan Fault Tree Analysis (FTA), dan memberikan usulan perbaikan untuk meningkatkan tingkat efektivitas mesin. Dari hasil penelitian,  OEE mesin reng mencapai rata-rata 57,55%, dan masih berada di bawah nilai OEE ideal (85%). Usulan perbaikan yang direkomendasikan meliputi eliminasi six big losses, mengembangkan program pemeliharaan, dan memberikan pelatihan untuk meningkatkan kemampuan maintenance dan operasional. Abstract The reng machine, which is used to produce lightweight steel roof with a kind V reng, has not fully worked effectively. This is indicated by the presence of downtime, speed losses, and produce products that are not according to standards that have been determined. This study aims to measure and determine the level of effectiveness of reng machine using Overall Equipment Effectiveness (OEE) method, identify factors that cause six big losses by using Fault Tree Analysis (FTA), and proposes improvements to increase the effectiveness of the machine. The result of research, OEE of reng machine reached an average of 57.55%, and still was below the ideal OEE (85%). Proposed improvements that recommended include the elimination of six big losses, develop a maintenance program, and provide training to improve the ability of maintenance and operations.

Preference of influence of green purchase intention factor to environmentally friendly detergent product (lerak)

The commercialization of higher education through the concept of Perguruan Tinggi Negeri Berbadan Hukum (PTN-BH) has led the higher competition among State University and Private University. It becomes a threat and challenge faced by State University in recruiting new students. A clearer understanding of why and how students choose universities is needed to develop the brand awareness enhancement strategies of State University. This paper aims to identify the factors that influence student’s decision of university choice, without regarding the individual aspects. The Deplhi technique is used at the stage of information gathering, in which four experts from higher education were being interviewed. The combination of HEdPERF dimensions and brand awareness indicators were used to develop the variables. The pilot study done through the sample of 1st-year undergraduate students enrolled in the Top 8 State Universities in Indonesia for the validation test using SPSS 16.0. This findings result that there are six factors in choosing higher education, including academics, facilities, campus life, reputation, industry linkage and access. The test and evaluations result that from 28 items proposed, there are 23 items that can be considered as the student’s decision in their choice of State University.

Indonesia is catching up with infrastructure development as a developing country. This is an opportunity for large and small contractors, especially construction services to compete for development projects. In the process, the government held a tender for SMEs participating in government projects. In the government tender process there are many obstacles that can affect SMEs to participate and win the government tender process. One of them is more than 50% of the value of tenders under 2.5 billion rupiahs but it cannot be done by choosing directly so that SMEs become difficult to be involved in the government procurement tender process. In this study we will discuss the factors and constraints that affect construction SMEs to participate in public procurement. Factors and obstacles include two main factors, namely the internal SMEs and external factors from the government. The method used is the Partial Least Square analysis method which is doing descriptive statistical analysis and causal analysis that aims to find out whether the factors that influence and become obstacles for SMEs to participate in public procurement.

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