Iing Lukman
Universityof Malahayati Jl. Pramuka No. 27 Bandarlampung 35153 Indonesia

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Towards Indonesian Cloud Campus Thamrin, Taqwan; Lukman, Iing; Wahyuningsih, Dina Ika
International Conference on Engineering and Technology Development (ICETD) 2013: 2nd ICETD 2013
Publisher : Bandar Lampung University (UBL)

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Abstract

Nowadays, Cloud Computing is most discussed term in business and academic environment.Cloud campus has many benefits such as accessing the file storages, e-mails, databases,educational resources, research applications and tools anywhere for faculty, administrators,staff, students and other users in university, on demand. Furthermore, cloud campus reduces universities’ IT complexity and cost.This paper discuss the implementation of Indonesian cloud campus and various opportunies and benefits of cloud services for universities. And suggested cloud infrastructure prototypetowards cloud campus
PENGARUH FREE CASH FLOW, HUTANG DAN TINGKAT PERTUMBUHAN PERUSAHAAN TERHADAP KEBIJAKAN DEVIDEN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA Suherman, Robi; Lukman, Iing; Kusnadi, Kusnadi
Jurnal Manajemen Magister Darmajaya Vol 1, No 02 (2015): Jurnal Manajemen Magister Darmajaya
Publisher : Jurnal Manajemen Magister Darmajaya

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Dividend payout policy has an important impact for investors and for companies that pay dividends. Determination of the distribution of dividends becomes interesting problem because it will meet the expectations of investors, on the other hand the policy is not to inhibit the growth let alone threaten the survival of the company. The size of dividends to be paid by the company depending on the dividend policy of each company, so that management considerations are needed. It is thus necessary for the management to consider factors that influence dividend policy set by the company. The objective of research the effect of free cash flow, debt and the companys growth rate to dividend policy simultaneously and partially on manufacturing companies listed in Indonesia Stock Exchange (BEI). Samples are manufacturing companies with a total sample size of 6 companies. The analytical tool used is multiple linear regression analysis.Keyword: Dividend, Policy, Growth.
Association rules of Prognostic Variables for Survival in a Randomized Comparison of Treatments for Prostatic Cancer Lukman, Iing; Khikmawati, Emy
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 1 (2019): JPIT, Januari 2019
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i1.1252

Abstract

In this paper, the data was analyzed by data mining techniques of association rules. The data for 506 patients consist of an identification number, stage of tumour, a code for the treatment to which the patient was assigned, the date of randomization, the total months of follow-up since randomization, an indicator for the survival status or cause of death, and the values of twelve pretreatment covariates. The goal of an analysis should be to compare the treatments with respect to survival of the patients. Since this was a randomized study it would ordinarily not be necessary to adjust for the values of the pretreatment covariates. However, in such studies it is advisable to examine the prognostic significance of the covariates and to confirm that they are balanced across treatment groups.  In addition, the analyst should look for important treatment-covariates interactions which might lead to the definition of subsets of patients in which treatment differences were significantly more marked or even reversed.