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"ABSTRAKPraktek keinsinyuran ini mengajukan formulasi model atas permasalahan yang dihadapi oleh industri agribisnis minyak kelapa sawit (Crude Palm Oil), khususnya pada bagian operation field yang mengatur kegiatan pengiriman CPO dari mill ke refinery menggunakan armada truk tangki di Tarjun, Kalimantan Selatan. Dua skema model yang diajukan dalam laporan ini merupakan bentuk representasi matematis terhadap kondisi riil yang terjadi di lapangan: skema business as usual (BAU) dan skema dengan batasan emisi karbon. Performa kedua model dievaluasi dan dibandingkan efektivitasnya dalam menentukan trade-off yang paling optimal antara total biaya dan total emisi dengan menggunakan software Lingo 9. Hasil yang diperoleh menunjukkan bahwa dengan memilih jenis dan jumlah truk yang tepat sesuai dengan kondisi skema yang dihadapi, maka trade-off paling optimal antara total biaya dan total emisi dapat tercapai. Analisa dari perspektif manajerial perusahaan dan temuan lainnya termasuk potensi pengembangan model untuk kedepannya juga dijabarkan pada laporan ini.

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ABSTRACTThis study proposes a model formulation of problems faced by crude palm oil (CPO) industries, especially for operation field department which organizes CPO delivery activities from mill to refinery by using tank trucks in Tarjun, South Kalimantan. Two model schemes proposed in this study are mathematical representation of real life condition on the operation field: business as usual (BAU) scheme and emission scheme. The performance of two model schemes are then evaluated and compared in terms of their effectiveness in determining the most optimal trade off between total cost vs total emissions by using Lingo 9 software. The obtained results show that by choosing the right type of truck as well as the amount of units ordered, the desired optimum trade off would be achieved. Analysis from managerial perspective and other findings including the possibility of further developments are also described in this study."

"Sektor transportasi menyumbang seperempat (25%) dari total Greenhouse Gas dan juga menjadi penyebab utama polusi udara di perkotaan. Masalah dalam penelitian adalah banyak kendaraan over dimension over loading (ODOL) di jalan tol yang mengeluarkan gas buang melebihi batas ambang, serta menimbulkan kecelakaan. Tujuan penelitian adalah menganalisis aspek pencemaran lingkungan kendaraan ODOL, menganalisis faktor sosial-ekonomi yang mempengaruhi kendaraan ODOL, dan membuat model penanganan transportasi ODOL agar tercapai green logistics. Metode yang digunakan dalam penelitian ini adalah metode gabungan (mixed methods) dengan pendekatan kuantitatif. Teknik pengumpulan data berupa penyebaran kuesioner, observasi lapangan, focus group discussion, dan studi pustaka. Hasil penelitian didapatkan bahwa kendaraan ODOL berpengaruh pada peningkatan pencemaran udara, terutama pada area sepanjang daerah administratif jalan tol, sebanyak 36,5% pengemudi ODOL merasa tidak aman saat berkendara, selama tahun 2012-2023 jumlah kecelakaan tertinggi di jalan tol Jakarta-Cikampek disebabkan oleh faktor pengemudi kendaraan ODOL. Penelitian ini menyimpulkan bahwa model penanganan kendaraan ODOL dalam bentuk intervensi sosialisasi kendaraan ODOL dan intensifikasi penindakan kendaraan ODOL selama 5 tahun dapat mengurangi kerugian ekonomi sebesar Rp.14.773.077.099, dan mengurangi jumlah kendaraan ODOL sebanyak 926 kendaraan.

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The transportation sector contributes a quarter (25%) of the total Greenhouse Gas and is also the main cause of urban air pollution. The problem in the research is that many over-dimensional overloading (ODOL) vehicles on toll roads emit exhaust gases that exceed the threshold limit, causing accidents. The research aims to analyze the environmental pollution aspects of ODOL vehicles, analyze the socio-economic factors that influence ODOL vehicles, and create a model for handling ODOL transportation to achieve green logistics. The method used in this research is a mixed method with a quantitative approach. Data collection techniques include distributing questionnaires, field observations, focus group discussions, and literature studies. The results of the study found that ODOL vehicles cause increasing air pollution, especially in areas along the toll road administrative areas; as many as 36.5% of ODOL drivers felt unsafe while driving during 2012-2023 ODOL vehicle driver factors caused the highest number of accidents on the Jakarta-Cikampek toll road. This research concludes that the ODOL vehicle handling model in the form of ODOL vehicle socialization interventions and intensification of action against ODOL vehicles for 5 years can reduce economic losses by IDR 14.773.077.099 and reduce the number of ODOL vehicles by 926."

"ABSTRAKVehicle Routing Problem (VRP) merupakan masalah kritis dan penting dalam bidang logistik untuk mendesain suatu jaringan transportasi yang efektif dan efisien. Di antara berbagai jenis VRP, Capacitated Vehicle Routing Problem (CVRP) telah banyak dipelajari secara luas oleh banyak peneliti karena dalam prakteknya sangat relevan dengan operasi logistik. Namun, CVRP yang bertujuan meminimalkan perjalanan jarak keseluruhan atau meminimalkan waktu perjalanan ternyata tidak memenuhi persyaratan terbaru yaitu Green Logistics, yang memperhatikan pengaruh terhadap lingkungan. Pada skripsi ini mempelajari CVRP dari perspektif lingkungan yang disebut Environmental Vehicle Routing Problem (EVRP) dengan tujuan mengurangi dampak buruk pada lingkungan yang disebabkan oleh routing dari kendaraan. Dalam skripsi ini, pengaruh lingkungan diukur melalui jumlah emisi yang dikeluarkan pada saat melakukan aktifitas logistik. Salah satu teknik yang dapat digunakan untuk menyelesaikan masalah EVRP adalah dengan menggunakan metode metaheuristik yaitu algoritma Hybrid Artificial Bee Colony (HABC). Algoritma HABC merupakan modifikasi dari algoritma Artificial Bee Colony (ABC) dengan algoritma Clarke-Wright Savings untuk pembentukan rute awal.

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ABSTRACT

The vehicle routing problem (VRP) is a critical and vital problem in logistics for the design of an effective and efficient transportation network. Among the various types of VRP, Capacitated Vehicle Routing Problem (CVRP) has been studied extensively because in practice it is very relevant to logistics operations. However, CVRP aimed at minimizing traveling distance or minimize overall travel time did not meet the latest requirements of Green Logistics, which pay attention to the effect on the environment. In this thesis studied the CVRP from an environmental perspective, called the Environmental Vehicle Routing Problem (EVRP) with the aim of reducing the adverse effect on the environment caused by the routing of vehicles. In this research, the environmental influence is measured through the amount of the emission , which is a widely acknowledged criteria and accounts for the major influence on environment. A hybrid artificial bee colony algorithm (HABC) is designed to solve the EVRP model. The artificial bee colony is a swarm intelligent, which mimics the foraging behavior of a honey bee swarm. An hybrid artificial bee colony algorithm is also proposed to improve the solution quality of the original version. HABC algorithm is a modification of the algorithm Artificial Bee Colony (ABC) algorithm Clarke-Wright Savings as the formation of the initial route."

"This volume consists of 52 peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM-19) held in Budapest, Hungary in July 2019. Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies, and at the same time improve its sustainability by reducing its environmental impact. The topic includes the sustainable design of products and services; the sustainable manufacturing of all products; energy efficiency in manufacturing; innovation for eco-design; circular economy; industry 4.0; industrial metabolism; automotive and transportation systems. Application areas are wide and varied. The book will provide an excellent overview of the latest developments in the Sustainable Design and Manufacturing Area."