Preference of influence of green purchase intention factor to environmentally friendly detergent product (lerak). Awareness of the current world community of the importance of environmental sustainability is increasing, this behaviour can be seen from the consumption patterns of people who start wanting environmentally friendly products. This condition makes many manufacturers adapt environmental problems in each of its products. Products that adapt to green product environmental issues can pave the way for manufacturers to enter eco-friendly markets as well as environmentally friendly detergents lerak. In this study using survey methods to determine the extent of influence of each factor to the intention of purchasing to environmentally friendly product. Factors studied are environmental concern, social influence, self-image, environmental knowledge, and perceived product price and quality against green purchase intention. From the results of this study found that all these factors have a significant influence on the green purchase intention of environmentally friendly detergent, but the most influential factor is the environmental knowledge which is the most important dimension and has the most significant influence on the intention of purchasing environmentally friendly detergent.

PENGGUNAAN FMEA DALAM MENGIDENTIFIKASI RESIKO KEGAGALAN PROSES PRODUKSI SARUNG ATM (ALAT TENUN MESIN) (STUDI KASUS PT. ASAPUTEX JAYA TEGAL)

Purpose: First, the purpose of this paper is to develop some policies as an alternative scenario to increase the performance of the Indonesian dairy milk supply chain so it can fulfil the target of the government. Second, this study aims to find the best alternative scenario based on the performance resulted from the simulation. Design/methodology/approach: The paper develops a system dynamics-based model by using six approaches, i.e. “population and consumption of dairy milk”, “national milk production”, “dairy cattle feed”, “dairy cattle population”, “profit gained by the dairy farmer”, and “government policy”. Findings: There is no best scenario; however, the combined scenario can give the better condition to achieve the targets set by the government. Research limitations/implications: The limitations of this study include: the relationship between the levels of welfare of farmers and the desire being a dairy farmer is not modelled; the quality of milk is only determined by the content of fat and protein in one litre of milk, and the level of milk consumption per capita increases naturally without any intervention or policy from the government. Practical implications: This study provides essential insights into the context of implementing the policies in the Indonesian dairy supply chain. Social implications: The research revealed that good policies scenario could be built after simulating and analysing the effect of each scenario on the performance of a dairy supply chain carefully. Originality/value: This study does not test one policy in isolation. It simultaneously tests various combinations of policy that related to dairy cattle import, operational assistance for dairy cooperative and dairy farmer that may help maximise the performance of the Indonesian dairy milk supply chain.

Purpose: This study aims to identify the suitable indicators and their scale for measuring the level of logistic halal implementation and then develops the measurement system based on those indicators and scales. Moreover, this research also applies the measurement system in food, beverage, and ingredient companies. Design/methodology/approach: This study collected data through web-based closed questionnaires and short telephone interviews. This study succeeded in obtaining seven valid data sets from filling out validation and analytical hierarchy process questionnaires by a panel of experts. This study also obtained 97 valid data sets from filling out the questionnaire about the current condition of each indicator related to halal logistics (HL) implementation. Then, the framework for measuring HL implementation was designed based on the multi-attribute value theory approach. Findings: The aggregate value of HL implementation in ingredient companies belongs to the excellent implementation category. In contrast, the aggregate value of HL implementation in food and beverage companies only belongs to the good implementation category. Then, according to the size of the company, the large-sized companies have the higher means of the aggregate value of HL implementation for preferred indicators than small- and medium-sized companies. However, all size companies belong to the good implementation category. Research limitations/implications: This research has several limitations. The preferred indicators are only measured by the Likert scales. Future research may benefit from inducing the qualitative approaches to measure the condition of each indicator better. Secondly, this research only consisted of 97 food, beverages and ingredients companies. Thirdly, this research only measured the HL implementations to a particular sector or industry. Future research could benefit from replicating the work in similar and dissimilar contexts, adding the sample size and comparing the level of HL implementation between Muslim and non-Muslim companies, and moreover, enhance the measurement of HL implementation by including consumers and other actors involved, such as the government. Practical implications: This research provided a basis for helping the government and policymakers understand and evaluate non-performing indicators in HL implementation before formulating several actions. Social implications: Understanding the current HL implementation conditions could facilitate a more effective response in designing some appropriate alternative actions. Originality/value: This research contributed to measuring HL implementation with a new indicator, a new scale and a new object in an empirical case of food, beverages and ingredient companies in Indonesia.

Tingkat kegagalan (defect) merupakan suatu permasalahan yang selalui diupayakan untuk diminimasi oleh suatu perusahaan guna meningkatkan kualitas dari produk yang dihasilkan, begitu pula yang dilakukan oleh Toyota Motor Manufacturing Indonesia (PT. TMMIN) yang berkonsisten dalam menghasilkan produk berkualitas. Mengetahui bahwa pada Tahun 2016 terdapat defect GAP sebesar 50 ppm, maka perusahaan perlu melakukan identifikasi terhadap kegagalan yang terjadi di perusahaan. FMEA merupakan salah satu metode yang secara terperinci melakukan identifikasi dan analisis terhadap moda kegagalan hingga dapat diketahui penyebab dan dampak dari tiap kegagalan yang ada, sehingga didapatkan usulan perbaikan yang tepat. Studi kasus menggunaan FMEA pada PT. TMMIN menunjukkan adanya berbagai moda kegagalan pada assembly-line hingga diketahui alternatif perbaikan untuk setiap kegagalan yang menjadi prioritas perbaikan. Kegagalan yang menjadi prioritas tersebut dapat terlihat dalam bentuk Risk Priority Number (RPN). Berdasarkan RPN yang dihasilkan, didapatkan kegagalan prioritas untuk assemblyiline pada PT. TMMIN adalah adanya kesalahan pemasangan part, kegagalan akibat adanya benda asing pada part, dan kegagalan pada kesalahan perakitan piston. AbstractThe failure rate is a problem that has always attempted to be minimized by a company in order to improve the quality of products, and also were conducted by oleh Toyota Motor Manufacturing Indonesia (PT. TMMIN) which is consistent in producting a quality product. Knowing that in 2016 there is a defect GAP at 50 ppm, PT. TMMIN needs to identify the failures that occur in their company. FMEA is a method to identify and analyze the failure modes in detail that can able to know the cause and impact of each failures, so we get the proper repairment. FMEA that is used in PT. TMMIN case study indicate various modes of failure in assembly-line, then known the alternatives to repair for any prioritize failures. The priorities failures can be seen in the Risk Priority Number (RPN). Based on the RPN resulting, we can obtain the priority failures in assembly-line of PT. TMMIN that are about the part installation errors, failures due to foreign objects in the part, and the failure of the piston assembly errors.