Ardian Novianto, Ardian
Jurusan Teknik Geofisika, Fakultas Teknologi Mineral UPN "Veteran" Yogyakarta

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STRATEGI KOMUNIKASI PETUGAS CTB PRA NPC PAYMENT COLLECTIONS DALAM MENAGIH PEMBAYARAN PELANGGAN INTERNET INDIHOME (STUDI PADA BAGIAN PETUGAS CTB DI PT. TELEKOMUNIKASI INDONESIA, TBK. WITEL SURABAYA) Novianto, Ardian; Yuliyanti, Tri; Wibowo, Judhi Hari
representamen Vol 2 No 02 (2016)
Publisher : Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.043 KB) | DOI: 10.30996/representamen.v2i02.1390

Abstract

The participation of CTB officers not only provide information, but also expected to be able to handle all kinds of issues that could come at any time the customer location and able to provide the best solutions for customers in resolving problems indihome internet bill PT. Telekomunikasi Indonesia, Tbk. The types of problems that were varied. The problem is revealed here on the communication strategy officer CTB in collections Internet subscribers indihome PT. Telekomunikasi Indonesia, Tbk as customer facing cultural character, customers feel aggrieved because of the disruption of network and internet technical indihome. Researchers used the theory that interpersonal communication in communicating issues CTB officer charges made directly face to face with customers. The result of this research is the communication strategy used clerk CTB before the charge to the customer can work well and produce fade back thus creating communication between officers CTB with the customer. Keyword : interpersonal communications, the effect of a change in attitude.
PEMANFAATAN METODA INVERSI DAN PROBABILISTIC NEURAL NETWORK PADA DATA SEISMIK DALAM PENENTUAN ZONA RESERVOAR BATUGAMPING (CARBONATE BUILDUP) DI LAPANGAN SUKO, CEKUNGAN JAWA TIMUR UTARA Novianto, Ardian
BERKALA FISIKA 2015: Berkala Fisika Vol. 18 No. 3 Tahun 2015
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1348.804 KB)

Abstract

Limestone particularly Carbonate Buildup is one type of reservoir potential as a hydrocarbon accumulation. Problems often encountered in the analysis are the type of reservoir porosity deployment complexity that is very different from other rocks. The understanding of porous area as a zone of a reservoir in the body Carbonate buildup will provide an overview in the development and determination of drilling new wells. Identification of potential zones in carbonate buildup can be done with the approach of the seismic data inversion process and multi-attribute with neural network method. Seismic inversion process is the reverse of the forward modeling process which will produce Acoustic impedance value that describes not only the boundary between the layers but also a layer of rock itself (Layer Properties). Validation of the results of the inversion process is done by creating a density map using multi-attribute process with probabilistic neural network method. The results of the inversion and multi-attribute process is expected to provide an overview of the deployment area having a large porosity which can serve as a reservoir zone. The results from the combination of the two methods showed that the reservoir zone is in the central part of carbonate buildup that field through the development of new drilling process can be directed at the zone. Keywords: AI inversion, Multi-attribute PNN, Carbonate Buildup