UD. Pintu Air merupakan salah satu industri yang bergerak di bidang produksi tahu. Saat ini tata letak fasilitas produksi di UD Pintu Air memiliki kendala terkait dengan pengaturan pernpindahan material. Penelitian ini bertujuan untuk merancang ulang tata letak industri tahu untuk meminimalkan penanganan perpindahan material. Pendekatan yang digunakan dalam proses perancangan ulang tata letak fasilitas di UD. Pintu Air adalah Algoritma Blocplan. Lebih jauh, efisiensi penanganan material digunakan sebagai parameter untuk mengetahui keberhasilan proses perancangan ulang. Berdasarkan Algoritma Blocplan, dapat diperoleh bahwa jarak total rectalinier adalah 48,25 meter, sedangkan tata letak yang saat ini diterapkan di UD. Pintu Air memiliki jarak total rectalinier sebesar 55 meter. Oleh karena itu, tata letak yang diusulkan dengan menggunakan Algoritma Blocplan dan perhitungan jarak dengan rumus rectalinier dapat dikatakan telah meminimalkan jarak perpindahan material sebesar 6,75 meter.
Tofu is an Indonesian traditional food which basically made from soybean. Tofu production process yields both solid and liquid wastes. If these are not handled properly, they may cause environmental contamination. Therefore, clean production planning needs to be conducted in order to bringout an environmental friendly industry for increasing productivity, increasing efficiency of raw materials and reducing wastes. This research was conducted at the tofu processing industry UD. Sumber Urip by collecting data through field observation, interview, questionnaire filling and 3 (three) stages of quick scan method which consists of identifing the production process of tofu based on the concept of clean production through the mass balance, analysing the alternative clean production improvements, observating and giving recommendations on waste utilization. The result shows that the tofu production process with clean production through the mass balance produced 210 kg dregs of tofu and 2.115,51 kg total liquid wastes. The research also proposes some alternative improvements of clean production as the implementation of good housekeeping principle, modification of funnel principle grinding, utilization of personal protective equipment, and implementation of recovery and reduce principle. On the other hand the wastes generated from the tofu production process may be reproduced in to tempe gembus, animal feed, organic fertilizer, and biogas.
The study examined the interactive components of digital micro and small medium enterprise (MSMEs) ecosystem for inclusive digital economy, more specifically found ways to put the digital MSMEs ecosystem to work for accelerating the MSMEs digitalization. The multiple cases studies' findings and discussion supported the model building. The model of digital MSMEs ecosystem was formulated as the surrounding interactive components of ecosystem, enabling digital MSMEs to realize and accelerate toward the digital economy. The novelty of model represented the reality of digital MSMEs ecosystem in Indonesia. There were three main constraints of digital MSMEs ecosystem to work: (i) human capital in digital talent, (ii) socio-technical adaptation, and (iii) government support for MSMEs going digital. Putting the digital MSMEs ecosystem to work needs three ecosystem resolutions: (i) building the MSMEs human capital in digital talent; (ii) acceleration of socio-technical adaptation to the digital application; and (iii) the sustainability of existing government support for MSMEs going digital to create inclusive digital economy. The recommendation for three digital MSMEs ecosystem resolutions needs to consider sectoral and regional characteristics in practices.
The determinant factor identification of behavior considers as an important means in order to develop effective intevention towards household waste management in Indonesia. This study extended the Theory of Planned Behavior (TPB) by using the following construct: intention, attitude, subjective norm, perceive behavioral control, government intervention, environmental knowledge and awareness, as well as household planning and buying habit; to understand household waste management behavior from the ‘reduce-reuse-recycle’ point of view. The structural equation modeling (SEM) were used in this study and the result showed that the model accounted for relatively substantial amount (61.7%) of the variance in intention, with the attitude, subjective norm, and environmental knowledge and awareness emerge as significant predictor. Above findings could be used by both governmental and non-governmental organization to formulate strategies to manage food waste at the household level.
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