Surfactant which is used as raw emulsifier in an industry activity such as Sodium Lauryl Sulfonate is a raw material import, it is petroleum derivative which is not renewable and may cause pollution to the environment, because it is not degraded and are carcinogenic. The purpose of the research is to compare the characteristics of the Quaternary methyl ester sulfonat (MES) and Sodium Lauryl Sulfonat (SLS) as emulsifier. First, make the MES by filtering and eliminating fatty acids of palm oil, then process the MES with enzymatic method become methyl ester, then react it in sulfonation and metanolization process, and also neutralized with NaOH. Next, the MES experiment is compared with SLS and existing MES in the market. The results show that surfactants MES experiment has value hidrofil lipofil balance (HLB) interfacial tension and emulsion stability greater than MES in the market and SLS. And the surface tension of MES experiment is larger than MES in the market, but smaller compared to SLS.ABSTRAKSurfaktan yang digunakan sebagai bahan baku emulsifer dalam aktivitas suatu industri pada saat ini seperti Sodium Lauril Sulfonat  merupakan bahan baku import yang merupakan turunan dari minyak bumi, dengan sifat tidak dapat diperbaharui dan dapat menimbulkan pencemaran terhadap lingkungan karena tidak mudah terdegradasi serta bersifat karsinogenik. Metil ester sulfonat dari bahan minyak sawit merupakan surfaktan dengan sifat mudah terdegradasi yang perlu diketahui karakteristiknya. Penelitian bertujuan untuk membandingkan karakteristik surfaktan metil ester sulfonat (MES) dan Sodium Lauril Sulfonat (SLS) sebagai bahan emulsifier. Mula-mula dilakukan pembuatan MES dengan cara menyaring dan menghilangkan asam lemak minyak sawit terlebih dahulu, kemudian diolah menjadi metil ester secara enzimatis, lalu direaksikan secara sulfonasi dan metanolisis, serta dinetralkan dengan NaOH. Selanjutnya MES hasil percobaan dibandingkan dengan SLS dan MES yang ada dipasaran. Hasil penelitian menunjukkan bahwa surfaktan MES memiliki nilai hidrofil lipofil balance (HLB) tegangan antar muka dan stabilitas emulsi lebih besar apabila dibandingkan dengan MES di pasaran dan SLS, kecuali nilai stabilitas emulsi antara MES dan SLS sama. Dan tegangan permukaan MES hasil percobaan, lebih besar dibandingkan dengan MES dipasaran, dan lebih kecil dibandingkan dengan SLS. Kata kunci :   Metil  ester sulfonat, hidrofil lipofil balance, emulsifier, sodium lauril sulfonat , stabilitas emulsi

Gas classification techniques are often found in several applied fields such as, detection of leak gas in gas cylinders, monitoring the threshold of harmful pollutant gases in the air, health diagnostics, early detection of fire hazards, and others. This requires measurement techniques that are adaptive and robust that can dynamically capture information on changes in vapor or gas compounds contained in free air. This research has been conducted to analyze and identify the types of gas compounds, namely CO and petrodiesel fuel vapor (C14H30). The design of this tool uses the principle of spectrophotometry and the calculation of Backprogation Neural Networks. The working principle is that light radiation in the Light Emitting Diode (LED) series, which has a wavelength range of 385nm to 1720nm, is absorbed to penetrate CO gas or petrodiesel fuel vapor (C14H30) that you want to identify. Light radiation that has passed through the gas / vapor compound was captured by the photodiode sensor. The emission of LED series light radiation produces different wavelength absorption patterns that will be processed by the Backprogation Neural network as an input signal in the identification and learning process. The results of this experiment show the success rate of the Backpropagation neural network in identifying the type of CO gas and petrodiesel fuel vapor (C14H30) is 80%.