Pusat Manuskrip Melayu: Sejarah dan peranan dalam pengurusan manuskrip Melayu / Siti Fathimah Abdul Halim

Disertasi ini membincangkan peranan yang dimainkan oleh Pusat Manuskrip Melayu (PMM) iaitu satu bahagian yang diwujudkan di bawah Perpustakaan Negara Malaysia. PMM dipilih sebagai batasan kajian yang melibatkan usaha menguruskan khazanah berharga ini dari aspek fizikal dan intelektualnya melalui program dan dasar yang telah digariskan. Dalam memahami manuskrip sebagai khazanah berharga, penulis mengetengahkan beberapa objektif iaitu menyorot latar belakang penulisan manuskrip di Alam Melayu bermula dari peringkat permulaan sehingga ke peringkat perkembangan teknologi percetakan serta realiti penyimpanan manuskrip Melayu di Malaysia khususnya. Manakala, objektif kedua pula penulis menyorot sejarah penubuhan Pusat Manuskrip Melayu dan fungsinya sebagai bahagian yang menguruskan manuskrip Melayu dan akhirnya dalam objektif ketiga penulis menganalisis peranan bahagian ini dalam menguruskan manuskrip Melayu dari aspek fizikal mahupun intelektual. Penyelidikan ini adalah bersifat kualitatif dan sebahagian kecilnya bersifat kuantitatif bagi menjawab beberapa soalan berkenaan latar belakang pegawai bahagian ini. Metod yang digunakan dalam usaha mengumpul data ialah kaedah perpustakaan (sekunder dan premier), dokumentasi (premier), temu bual berstruktur (premier) dan edaran borang soal selidik (premier). Hasil kajian mendapati bahawa bahagian ini berjaya memainkan peranannya sebagai bahagian yang diamanahkan mengurus manuskrip Melayu dari aspek fizikal dan intelektualnya melalui penstrukturan, program dan dasar yang telah digariskan dan dilaksanakan seperti yang telah dibincangkan di dalam disertasi ini

Classification of Ammonia Odor-profile Using k-NN Technique

This paper presents the application of k-NN in classifying the low and high concentration of ammonia. High concentration of ammonia in water causes serious problematic to water environment and living things in water. Instruments that can directly detect ammonia concentration without any chemical treatment added is limited. Thus, this paper presents detection of ammonia using E-nose and the classification of ammonia in water using k- nearest neighbor (k-NN)

Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)

Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves in water which is sources of human and other species. If the ammonia have high concentration, the effect of human health will be dangerous. Then, using proper monitoring and wastewater management the hazard can be prevented. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement.The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 100% of accuracy

Gaharu Sensor: Classification using Case Based Reasoning (CBR)

Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades were manipulated by traders to get higher price using lower grade. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement. The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 96.3% nearly to 100% of accuracy