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Sheet metal manufacturing is the an area of specialization PT. ABC. The company operates based on consumer demand. Wall Mounting Type (WM) is one type of customer ordered. In order to achieve the company's quality objectives needed time standard of design/drawing. However, in the process encountered several constraints occasionally, such as: the process of drawing/design is complicated and required accuracy. The problem arises due to the target of fulfilment and affordability of drawing/design is unsuitable. Consequently, this led to a delay in the drawing/design. This study uses an application of the Fishbone diagrams and Failure Mode and Effect Analysis (FMEA). Data collection was performed by direct measurement of the time drawing/design and interviews on Advanced Engineering Division (AED). The study shows several information such as: the improvements were made through the creation o Autolisp programs, modify the layout of the room and establish monitoring job. The study also showed that there was a difference in the standard time measurement results before and after the use of application Autoslip programs. The application Autoslip programs proved the working process of the drafter of 75 minutes and 35 seconds to 35 minutes and 07 seconds. Thus, the drawing/design process declined approximately 10 minutes and 33 seconds. Target achieved after the company's implementing schemes to change the layout of the room and create monitoring job.

Keywords: FMEA, drawing/design, wall mounting, Autolisp

The application of green supply chain initiatives in the informal sector recycles electronic waste in the city of Surabaya is the main objective of this paper. This paper also describes the factors that encourage the recycling of electronic waste informal sector to contribute to the green supply chain. Green supply chain is one of the methods that contribute to the reduction of environmental issues and can provide economic benefits to all stakeholders. Although it has been widely used in several business sectors, little is known about the green supply chain, especially in the perspective of recycling electronic waste in the city of Surabaya. Data were obtained from a questionnaire survey of the informal sector of electronics waste in Surabaya. The questionnaire has been validated and standardized by UNEP adopted and modified for this study. The results of the study provide information that the readiness of the supply chain suppliers (0.891), consumer’s persuade (0.845), the government contribution (0.795) and the role of non-governmental organizations (0.781) have a significant relationship to green supply chain initiatives. 

Keywords: e-waste, informal sectors, green supply chain, sustainability, Surabaya

As one part of the category of e-waste, household batteries are also considered as one of the hazardous waste in many countries because they contain heavy metals that could potentially harm human health and the environment. This paper presents the initial investigation of household battery waste in the city of Surabaya. Knowledge, awareness and community participation are also discussed. The data and information used in this study were collected by distributing questionnaires by random in 5 areas in the city of Surabaya and interviewed approximately 480 households. Research shows that other types of batteries figure out of around 57 %, about 24% of AA batteries, AAA roughly 15 % and 4 % for a 9V battery. Majority of Households, approximately 64 % know that used batteries can be a problem in the environment and human health. Households stated that the products of famous brands, cheaper prices, and advices from friends is a priority when they buy batteries. Despite their knowledge of the waste battery is fairly good, only about 31.5 % of households are willing to pay for the improvements of the electronic waste management system. However, households are willing to engage in recycling their waste batteries. Considering the a used battery waste generation continues to increase, recycling programs need to be introduced to the public for waste materials that have the potential risk to human health and the environment.

Keywords: e-waste, batteries, knowledge, awareness, willingness to pay.

Alat pendingin merupakan hal yang sangat penting dalam suatu sistem elektronik. Beban panas yang semakin besar akibat pemakaian produk elektronik yang tanpa henti menyebabkan diperlukannya sistem pendingin baru yang lebih efisien atau mempunyai efisiensi termal yang tinggi. Penelitian ini akan membahas karakteristik aliran dan perpindahan panas konveksi paksa dengan model aliran impinging jet sintetik yang akan digerakkan dengan fungsi  gelombang sinusoidal. Penelitian ini dilakukan menggunakan metode komputasional dan eksperimental.

Tahap komputasional menggunakan software CFD Fluent dengan model turbulensi k-ω SST dengan elemen meshing Tet/Hybrid tipe Tgrid untuk melihat distribusi aliran pada jet sintetik. Sedangkan pada tahap eksperimental akan dilihat karakteristik perpindahan panas konveksi paksa dengan menggerakkan membran jet sintetik pada gelombang sinusoidal variasi frekuensi 80 Hz, 120 Hz dan 160 Hz dan amplitudo 2 mm menggunakan function generator.  Hasil penelitian menunjukkan adanya pengaruh gelombang dan frekuensi yang signifikan terhadap laju perpindahan panas yang didapat. Pada penelitian ini juga terlihat, laju perpindahan panas konveksi paksa yang terbaik terjadi ketika membran jet sintetik digetarkan pada frekuensi rendah 80 Hz.

Hydrogen is increasingly investigated as an alternative energy source to petroleum products in industrial application, internal combustion engines (transportation) and electrical power plant. The safety issues related to hydrogen gas are further exasperated by expensive instrumentation required to measure the temperature, flow rates and production pressure. This paper investigates the use of model based virtual sensors in connection with DEGUSSA Sintering furnace with hydrogen gas as process atmosphere for UO2 pellet sintering processes. The virtual sensors are used to predict relevant hydrogen safety parameters, such as hydrogen output temperature, hydrogen pressure and hydrogen flow rate as a function of different input conditions parameters. The virtual sensors are developed by means of the application of various Artificial Intelligent techniques. To train and appraise the neural network models as virtual sensors, the Degussa sintering system is instrumented with necessary sensors to gather experimental data which together with neural networks and adaptive neuro-fuzzy inference systems were used as predictive tools to estimate hydrogen safety parameters. It was shown that using the neurofuzzy inference system, hydrogen safety parameters were predicted with the average RMSE 0.0387, 0.0283, 0.1301 and MAE 0.0241, 0.0115, 0.0355 sequentially for temperature, pressure, and flow rate of hydrogen.