The Exhaust Pipe Preheated Fuel System (EP2FS) is a fuel preheating system that utilizes wasted heat from the muffler. Fuel heating aims to improve the homogeneity of fuel and air mixtures to improve the combustion process in the engine. Making EP2FS requires careful design and calculation because the fuel temperature should not exceed 60 o C so as not to evaporate. Design and calculation, using heat transfer theory of helical heat exchanger. A ready-made system will be applied in motor vehicles to be tested for combustion efficiency and performance.

Penelitian ini dilatar belakangi oleh dua hal: pencarian bahan bakar alternatif bersumber non pangan serta semakin menumpuknya sampah plastik. Melalui proses pyrolisis, plastik polypropilene dapat dirubah menjadi bahan bakar cair. Bila bahan bakar plastik polypropilene (BBPP) ingin digunakan pada engine maka ada beberapa standar yang harus dipenuhi. Nilai kalor tinggi merupakan salah satu standar dimaksud. Pengujian nilai kalor BBPP dilakukan untuk 5 macam spesimen yaitu BBPP murni, BBPP + premium dengan konsentrasi campuran 10%, 15%, 20%, serta BBPP + octane booster dengan campuran 1:1. Hasil pengujian nilai kalor dengan menggunakan bomb calorimeter didapatkan nilai kalor BBPP murni 100% sebesar 11.111,264 kcal/gram. Pada campuran BBPP + bensin premium didapatkan nilai kalor tertinggi pada campuran 10% sebesar 11.405,911 kcal/gram. Pada campuran BBPP + octane booster didapatkan nilai kalor sebesar 11.203,163 kcal/gram. Nilai kalor BBPP murni ataupun campuran ternyata masih dibawah nilai kalor premium sebagai bahan bakar acuan yang sebesar 11.414,453 kcal/gram. Untuk saat ini pemakaian BBPP pada engine tanpa modifikasi merupakan suatu tindakan yang memaksakan mesin bekerja dibawah kondisi idealnya. Upaya peningkatan nilai kalor BBPP perlu dilakukan bila ingin dipakai sebagai bahan bakar alternatif untuk engine. Peningkatan nilai kalor BBPP bisa dilakukan dengan proses pemurnian ulang.

Cow's milk is the secretion of a cow that has perfect nutritional value but is easily damaged. Efforts to extend the shelf life of milk, milk is usually stored in a box freezer or by thermal pasteurization. However, this thermal processing can change the smell, taste, colour and reduce the nutritional content of milk, especially protein, which is a heat resistant substance. Alternative non-thermal technology that HPEF can apply. The method of this research was descriptive, describing the nutritional value of milk before and after had been HPEF Implementation. After non-thermal pasteurized cow's milk with HPEF, the nutritional value of cow's milk was better than fresh cow's milk. In unprocessed milk with HPEF, the fat content decreased by 3,77%. Protein content increased 0,15%, lactose 0,29%, and increased mineral content 0,05%. The TPC test on milk showed 6,91 x 102 cfu/ml. HPEF implementation can effectively reduce fat levels, increase protein, lactose levels, and increase mineral levels in milk. Non-thermal pasteurized cow's milk with HPEF can be immediately ready for consumption

In a research and survey sector, drone usually equipped with extra measuring equipment depends on needed. The purpose is to make a survey tools with extra ability to collect data in a wide area with fast and remotely. This type of drone known as a modified drone or a surveyor drone. One of surveyor drone type is a quadcopter wind velocity surveyor drone. The problem is, drone also knowing have a turbulent air effect surround its propellers, and its suspected to affect the ability of the anemometer collecting the correct data. This research will investigate that phenomenon, focused on the data of wind velocity with a variety of drone propeller rotation speed. Wind velocity anemometer sensor position places surrounding the drone. The drone use in this research is a prototype drone which is equipped with hot wire anemometer data logger. hot wire anemometer memory card data logger type uses in this research is a regular type and already modified to installed it on a drone. Research will be focused on the search of an answer about how big the deviation of wind velocity data affected by drone propeller wind turbulence.

The aerodynamic aspect is one of the most important things in the automotive sector which is used to find information on the performance of an aerofoil model design. The performance of an aerofoil through streamflow associated with fuel consumption which means the higher the air speed, the greater the resistance received, so that the fuel consumption will be greater. At this case, fuel consumption can be reduced by creating an aerofoil model design that maintain great aerodynamic to minimize drag forces. The affects of streamflow around the vehicle are discussed in this papper. This research simulated 3D electric vehicle Tobacco Style M-164 in steady condition with various velocities, i.e. 50 km/h, 60 km/h, 70 km/h, and 80 km/h. This simulation use the Tethahedron mesh model and run in SST k-omega turbulence model. The affects can be observed with the quantitative and qualitative data. The quantitative data used as measurable data were Maximum Fluid Pressure, Drag Force, and Coefficient of Drag (CD). The quantitative data is shown to provide a better visual explanation of the streamflow affects. The qualitative data shown in this paper are velocity contours, vectors, and pathlines. The value of the maximum fluid pressure and drag force is directly proportional to the increase in velocity stream. The coefficient of drag decreased as the free stream increased with a percentage decrease of 2.48%. The average value of the coefficient of drag (CD) from this research was 0.318.

Wind speed profiles are generally sought by using an anemometer. However, problems occur when taking wind speed data over large areas, such as mapping the potential of wind energy in someplace. Altitude and coordinate variations will vary and difficult to executed if using a conventional anemometer. In this modern era where drones, which are unmanned Aerial Vehicles (UAVs) are increasingly used, have the prospect of being used as a tool in retrieving data. A type of drone that has an economical price is a quadcopter type drone. Integrating this drone with an anemometer will then be able to retrieve wind speed data at the coordinates and elevation. The wind speed survey process will be more accurate and can be saved in terms of cost and time. Problems and procedures in integrating these two tools will be studied in this study because both of these tools have specific characteristics such as turbulence from propeller drones that can interfere with data accuracy and sensitivity problems to the sensor anemometer that requires special attention. The development of quadcopter, including construction, modifying, and tuning, will be main issues to discuss in this journal.

A method used to optimize the design process in a manufacturing system is the Design For Manufacturing and Assembly Method (DFMAM). The idea of this optimization method is to minimize assembly process errors, reduce redundancy of components, save on production costs, as well as ease of operation. In this study, the method will be used on a biodiesel processor with multi feedstock type equipped with intelligent system for production perimeter control that is specifically designed to produce biodiesel from corn and coconut oil as raw materials produced by Jember, Indonesia. The design framework is made suitable for small-scale biodiesel production in MSMEs for industrial or laboratory purposes, in order to produce biodiesel that meets the biodiesel standards of Ministry of Energy and Mineral Resources of Republic of Indonesia. Processor component assembly via the DFMAM principle is simplified to reduce component complexity and redundancy. The biodiesel produced by this method has been tested and recorded a density value of 15 cel.deg. 874 - 877 kg/m3, viscosity at 40 cel.deg 4.3 – 4.7 mm2/s, Acid value 0.14 0.15 mg KOH/g, Cetane 56 – 58, Cloud Point 7 – 8 cel.deg., pour point 4 – 5, Flashpoint 171 – 178 cel.deg and distillation point 345 – 350 cel.deg.

In this study, experimental trials will be carried out to find out the optimal recipe for processing corn oil and biodiesel oil produced by UMKM in Jember Regency (Indonesia) into biodiesel known as biosolar. Experimental conditions will be optimized to obtain partial transesterification of coconut oil and corn oil using a variety of common methoxide for the production of biosolar. Biosolar production using conventional methods has not yet produced fuel that meets modern engine standards, further research is needed to overcome this problem, including by making an advanced processing method. The following experimental parameters will be varied : liquid temperature (40-60ºC), processing time (1800 to 3600 sec.), catalyst (0.5-1,25 % of total weight.), and proportional of methanol oil mix ratio (m/o) (1:3-1:6). The maximum value parameter of biodiesel reaching 98.12% was produced by methoxide from KOH  at 60 minutes of process, in 60 oC temperature and an oil – methanol mix ratio of 1:0.25. The optimal conditions for biosolar production also with biosolar fuel properties varied catalysts were tested with the standard methods of 14214EN and ASTMD6751. The results showed that optimum catalysts for biosolar production using coconut oil and corn oil are 0.8 % of total weight of either KOH and NaOH catalyst.