Judul: Aplikasi Konsorsium Mikroorganisme untuk Mendegradasi Lignin dalam Limbah Cair Pabrik Kelapa Sawit pada Kondisi Aerobik
Abstrak: The microorganism consortia from eight different ponds of palm oil mill effluents (POME) at Palm Oil Mills (POM) of PT Condong Garut and Rejosari- Lampung were selected and applied to degrade lignin of lignosellulosic materials in POME under an aerobic condition. They were aerated to ensure effective isolation of aerobic microorganisms. Selection of lignin-degrading fungi consortia were determined by using selected agar plate (LAC) and liquid Lignin Chloramphenicol (LC) medium. Their ability to degrade lignin of lignocellulose materials in POME were shown by absorbance value and total solids in broth culture. Microorganism consortia from Anaerobic-4 at POM of Condong Garut had the high growth rate in liquid LC medium. These result was also confirmed by their consortia’s ability had the highest degrade of lignin materials in POME compared with the others selected consortia.
Keyword: aerobic, microorganisms consortia, lignin, POME

Judul: Molecular Docking of Potential Microbial Enzyme as Palm Oil Mill Effluent Bioremediation Agents
Abstrak: Palm oil mill effluent (POME) yang berasal dari industri kelapa sawit merupakan salah satu penyebab utama pencemaran air karena kaya akan bahan organik dan warnanya yang gelap. Limbah POME memiliki beberapa zat penyebab sifat uniknya, salah satunya adalah melanoidin. Tidak hanya melanoidin, komponen fenolik yang terdapat pada POME juga diketahui bersifat fitotoksik bagi lingkungan akuatik. Beberapa enzim mikroba potensial sudah dianggap mampu mendegradasi bahan kimia ini, tetapi mekanismenya tidak diketahui. Melalui penelitian ini, enzim potensial tersebut (α-glukosidase, β-glukosidase, β-mannanase, lakase, dan mangan katalase) digunakan untuk memvisualisasikan pengikatan kompleks reseptor-ligan dalam mencari agen bioremediasi POME yang sesuai. Analisis penelitian dilakukan dengan Autodock Vina dan skor penambatan mewakili kekuatan afinitas. Hasil penelitian menunjukkan bahwa melanoidin yang berkontribusi terhadap warna gelap POME memiliki nilai docking terbaik yaitu -10,1 kkal/mol dengan mangan katalase. Hasil akhir menunjukkan bahwa semua reseptor memiliki afinitas tinggi terhadap melanoidin, yang menunjukkan bahwa enzim ini melakukan reaksi spontan terhadap komponen kimia limbah POME, Palm oil mill effluent (POME) originated from palm oil industries is one of the significant causes of water pollution because of its richness in organic matters and dark color. It has been discovered that POME has several substances that cause its distinct characteristics, namely melanoidin. Several phenolic components found in POME are also known to be phytotoxic for the aquatic environment. Certain potential microbial enzymes are already presumed capable of degrading these chemicals, but the exact mechanism is unknown. Here I employed molecular docking of these possible enzymes (i.e., α-glucosidase, β-glucosidase, β-mannanase, laccase, and manganese catalase) to visualize the ligand-receptor complex binding in searching for POME potential bioremediation agent. The result analysis uses the Autodock Tool v1.5.6, and the docking score represents the affinities of the bond strength. The results show that melanoidin has the lowest docking score with -10.1 kcal/mol into manganese catalase. The results demonstrate that all of the receptors possess a high affinity towards melanoidin, indicating that these enzymes perform spontaneous reactions towards POME waste chemical components
Keyword: Bioremediation, Microbial enzymes, Molecular docking, POME waste

Judul: Julia as an Innovative Programming Language in Numerical Computing
Abstrak: Julia memadukan keahlian dari beragam bidang ilmu komputer dan ilmu komputasi untuk menciptakan pendekatan baru untuk komputasi numerik. Penelitian ini bertujuan untuk memperkenalkan Julia sebagai bahasa pemrograman yang dapat menyelesaikan permasalahan matematika khususnya dalam komputasi numerik kepada masyarakat. Komputasi pada Julia dirancang sedemekian rupa agar mudah dan cepat, serta mematahkan asumsi bahwa bahasa pemrograman dinamis (bahasa pemrograman tingkat tinggi) harus lambat. Sintaksi yang serupa antara Julia dengan beberapa bahasa pemrograman seperti Matlab dan Octave memudahkan pengguna untuk bertransisi. Vektorisasi pada Julia tidak menjadi prasyarat dalam hal kinerja. Multiple dispatch pada Julia memungkinkan pengguna untuk menulis fungsi beberapa kali dengan types yang berbeda. Julia didukung dengan paralelisme., Julia combines the expertise of from various field of computer science and computational science to create a new approach to numerical computing. The purpose of this research is to introduce Julia as a programming language that can solve mathematical problems, especially in numerical computing for community. Computing on Julia is designed in such a way as to be easy and fast, and break the assumption that dynamic programming languages (high-level programming languages) must be slow. Julia has similar syntax with several programming languages such as Matlab and Octave. In Julia, vectorization is not prerequisite in term of performance. In Julia, multiple dispatch allows users to write functions multiple times with different types. Julia support parallelism.
Keyword: Julia, multiple dispatch, numerical computing, parallelism, programming languange, vectorization