Iklim industri di Indonesia yang sedang berkembang. Industri Produk Tekstil yang merupakan salah satu industri prioritas juga tidak lepas dari perkembangan industri tersebut. Selain itu, semakin berkembangnya persaingan global yang semakin ketat memaksa IKM untuk meningkatkan daya saing baik berupa efisiensi produk maupun kualitas produk yang dihasilkan agar dapat mempertahankan eksistensinya. Perkembangan industri saat ini yang tengah mengalami revolusi industri yang kempat (industri 4.0) maka perlu industi mengetahui posisi perusahaan dalam pemanfaatan teknologi. Sebelum industri dinilai kesiapannya dalam industri 4.0; posisi pemanfaatan teknologi secara umum di industri perlu diketahui. Asesmen teknologi merupakan proses penilaian teknologi pada perusahaan dan perbandingan teknologi perusahaan dengan pesaing. Asesmen teknologi dilakukan dengan menggunakan model teknometrik yang dikembangkan oleh UN-ESCAP dimana tekonologi dapat dilihat melalui 4 (empat) komponen teknologi yaitu Technoware, Humanware, Infoware dan Humanware (THIO). Penerapan model perumusan strategi teknologi pada IKM menunjukkan dengan hasil asesmen teknologi TCC = 0.355, nilai kontribusi komponen technoware = 0.359; humanware = 0.393; infoware = 0.236; orgaware = 0.372. Hasil assemen tersebut menunjukkan bahwa level teknologi perusahaan masih rendah karena penggunaan teknologi hanya pada 35,% .
Abstract. Grey Relational Analyses (GRA) was utilized to determine optimal setting parameters of Free Fatty Acid (FFA) conversion from into hydrocarbon chain by decarboxylation process. The considered setting parameters were voltage and acetic acid (CH 3 COOH) concentration. Decarboxylation process occurred by adding acetic acid as the ion contributor for the dimerization process. In order to facilitate FFA well ionized, electrolysis was employed during the decarboxylation with voltage varied from 10 Volt to 25 Volt. The concentration of Acetic Acid varied from 0.5M to 1.5M for an optimum condition with a high yield. Decarboxylation reaction took place at 130ºC for 1 hour. The experiments were carried out by using full factorial design and multi responses considering % Yield, specific gravity (spgr), °API, viscosity, and Net Heating Value (NHV). Grey Reasoning Grade (GRG) was used to analysis multi responses. The setting parameters of sequence seven (A2 B3) has the highest GRG. Analysis of variance (ANOVA) results indicated that acetic acid concentration was contributing parameter. The optimal level for acetic acid concentration based on polynomial regression model was found to be 1.325 M.
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