Judul: Pemanfaatan Mikroba Penghidrolisis Selulosa untuk Produksi Gas Metana dengan Bahan Dasar POME (Palm Oil Mill Effluent).
Abstrak: Utilization POME (Palm Oil Mill Effluent) for the production of methane gas has double advantages: increasing effluent quality and energy obtained from methanogenesis. Hydrolyzing microbes play key central role on hydrolyses of complex polysaccharide into fermentable sugar to produce methane gas. The objective of this research was to optimize hydrolyses process to enhance methane production by hidrolizing microbes. The experiment was started with determination of cellulolytic capacity on CMC media, and optimation of celulose activity, focused on the effect of temperature (30C and 50C) and methane gas in the sample analysis using GC-FID. Ability of ATH 2147 was able to hydrolyse cellulose, using CMC and POME substrates, while Y34 was able to ferment POME. Based on methane production consortia of ATH 2147 and Y34 was able to produce highest methane. Amount of methane produced dependent on amount of biomass and temperature. Optimum methanogenesis was at 30C.
Keyword: Palm Oil Mill Effluent, methanogenesis, Hydrolysis

Judul: Potential For Utilizing Palm Oil Mill Effluent To Produce Hydrogen Gas By Microbial Electrolysis Cell
Abstrak: Limbah cair kelapa sawit (POME) mengandung bahan organik yang berpotensi untuk dimanfaatkan kembali agar tidak menjadi limbah yang mencemari lingkungan. Microbial electrolysis cell (MEC) merupakan salah satu metode yang memanfaatkan bakteri elektrogenik untuk membantu proses elektrolisis dalam menghasilkan gas hidrogen. Penelitian ini bertujuan untuk mengeksplorasi potensi pemanfaatan POME menjadi gas hidrogen secara microbial electrolysis cell. Penelitian ini diawali dengan studi pustaka dan dilanjutkan dengan pengambilan data secara ekperimental. Eksperimen dilakukan menggunakan reaktor MEC yang dirancang khusus berkapasitas 3,5 Liter dengan variasi tegangan sebesar 0,5; 1,0; dan 1,5 volt. Pengukuran gas hidrogen dilakukan dengan gas analyzer selama 24 jam dengan interval pengukuran 2 jam. Substrat yang digunakan adalah POME dan dibandingkan dengan air destilasi. Data eksperimen menunjukkan bahwa jumlah gas hidrogen yang dihasilkan meningkat sesuai dengan peningkatan tegangan, yaitu pada tegangan 0,5 V sebesar 37 mg/m3; pada tegangan 1,0 V sebesar 136 mg/m3; dan pada tegangan 1,5 V sebesar 358 mg/m3 dan berpotensi lebih tinggi lagi. Pembandingan dengan gas hidrogen yang dihasilkan menggunakan substrat air distilasi pada tegangan 1,5 V menunjukkan bahwa hasil dari substrat POME selalu lebih tinggi. Hal ini diduga sebagai akibat dari aktivitas mikroba dalam meningkatkan terjadinya proses elektrolisis., Palm oil mill effluent (POME) contains organic matter that can potentially be reused in order to reduce its impact to the environment. Microbial electrolysis cell (MEC) is a method that utilizes electrogenic bacteria to produce hydrogen gas. This study aims to explore the potential for utilizing POME to produce hydrogen gas using microbial electrolysis cells. This study starts with a literature review continued with experimental data retrieval. Experiments were conducted using a specially built laboratory scale MEC reactor with voltage variations of 0,5; 1,0; and 1,5 volts. A gas analyzer was used to measure hydrogen gas over the course of 24 hours at a 2 hours interval. POME was utilized as the substrate, while distilled water was used as a control. Experiments demonstrated an increase in the amount of produced hydrogen gas at higher applied voltage, i.e of 37 mg/m3 at 0,5 V; 136 mg/m3 at 1,0 V; and 358 mg/m3 at 1,5 V. Comparing with the yield of distilled water at 1,5 V, the yield of POME substrate is clearly higher. This phenomenon is predicted as the effect of microbial activity in enhancing the electrolysis process.
Keyword: DC Voltage, Biohydrogen, POME, MEC

Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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