Online Data Stream Learning and Classification with Limited Labels

Mining data streams such as Internet traffic andnetwork security is complex. Due to the difficulty of storage, datastreams analytics need to be done in one scan. This limits thetime to observe stream feature and hence, further complicatesthe data mining processes. Traditional supervised data miningwith batch training natural is not suitable to mine data streams.This paper proposes an algorithm for online data streamclassification and learning with limited labels using selective selftrainingsemi-supervised classification. The experimental resultsshow it is able to achieve up to 99.6% average accuracy for 10%labeled data and 98.6% average accuracy for 1% labeled data. Itcan classify up to 34K instances per second

Surface Hardening Characterization Of Transmission Gears

This paper is presented to compare the transmission gear products from SME (UKM gear) and national scale manufacturer (OEM gear) especially on the surface hardening characterization. Both gears were heat treated with different methods. The gear product of SME was heat treated by pack carburizing and quenching whereas the OEM gear was predicted to be heat treated using induction heating with high frequency. The surface hardening characterization was conducted by investigating the hardening thickness, the hardness number and the microstructure observation on the gear surfaces. The result of the hardening thickness investigation reveals a distinction on the depth of hardening penetration. The heat treatment using long interval pack carburizing of UKM gear produces a deeper penetration and the higher hardness number on the gear surface whereas the OEM gear has a thin hardness penetration and lower hardness number. The microstructure of the both gears depicts the different types of phase. The SME gear shows the present of the carbon infiltration on the martensitic phase structure boundary whereas the OEM gear exhibits lower bainite phase on the gear surface. With this condition the OEM gear is predicted to behave a better contact stress distribution during operation

INVENTORISASI FIXED ASSET

Fixed asset merupakan aset yang berwujud tetap dan memiliki umur (kecuali tanah), dan tidak dimaksudkan untuk dijual. Pada sebuah perusahaan jasa perbaikan telepon genggam, fixed asset ini dapat berupa alat atau tool yang berfungsi sebagai alat penunjang perbaikan. Contoh adalah obeng, solder, pinset. Tool tersebut mempunyai peranan penting, kadang kondisi dari tool tersebut kurang diperhatikan sehingga dapat mempengaruhi kinerja dari perusahaan yang bersangkutan. Masalah akan mulai timbul jika kondisi tool tersebut tidak diperhatikan, antara lain proses perbaikan telepon genggam oleh teknisi akan terganggu, dan akan menimbulkan permasalahan baru yaitu komplain customer dari pemilik telepon genggam tersebut. Untuk pe,ecahan masalah tersebut pemantauan kondisi tool harus dilakukan, yaitu dengan inventorisasi Inventorisasi merupakan suatu usaha atau kegiatan pencatatan, diharapkan dengan menggunakan usaha tersebut diharapkan kondisi tool dapat dipantau setiap saat melalui sebuah laporan. Sehingga dengan menggunakan inventorisasi fixed asset pihak manajemen dapat selalu memantau dan mengambil keputusan secara tepa mengenai fixed asse