http://hdl.handle.net/123456789/9676 2026-04-04T14:49:50Z 2026-04-04T14:49:50Z BADRUZZAMAN, Farid Hirji FAJAR, M.Yusuf ROHAENI, Onoy GUNAWAN, Gani HARAHAP, Erwin http://hdl.handle.net/123456789/26812 2020-06-14T04:26:41Z 2020-04-01T00:00:00Z

CPM and PERT technique efficiency model for child veil production BADRUZZAMAN, Farid Hirji; FAJAR, M.Yusuf; ROHAENI, Onoy; GUNAWAN, Gani; HARAHAP, Erwin

2020-04-01T00:00:00Z HARAHAP, Erwin FAJAR, Yusuf CEHA, Rakhmat AHMADI, Dadi KUDUS, Abdul http://hdl.handle.net/123456789/26811 2020-06-14T04:17:03Z 2020-03-01T00:00:00Z

Modeling of request routing management on router for content delivery network HARAHAP, Erwin; FAJAR, Yusuf; CEHA, Rakhmat; AHMADI, Dadi; KUDUS, Abdul Abstract: A large amount of Internet traffic is organized through content delivery networks (CDNs). CDNs improve Internet access in terms of the response time and system throughput by mapping end-users to the nearest servers based on their locality, which known as request routing (RR). Most CDN systems use domain name servers (DNS) to redirect clients by issuing the IP address of the nearest server. Owing to the fact that DNS records have an expiration time (TTL), clients frequently have to contact name servers to update their IP addresses, which increases the connection delay. On the other hand, clients are demanding faster Internet connections. Because routers will be able to provide services in future networks, router-based RR has been proposed. In this paper, we study an analytical model of router-based RR. We present its architecture design and implementation, and show how router-based RR can be used to effectively redirect a clients’ request. Numerical analysis results demonstrate the effectiveness of router-based RR, which shows a 64.4% reduction of the response time for a client redirection.

2020-03-01T00:00:00Z Darwis, Sutawanir Hajarisman, Nusar Suliadi Widodo, Achmad http://hdl.handle.net/123456789/26572 2020-01-23T02:31:33Z 2020-01-01T00:00:00Z

Exploring Support Vector Regression For Bearing Degradation Darwis, Sutawanir; Hajarisman, Nusar; Suliadi; Widodo, Achmad Predicting bearing degradation before reaching the state of risk of accident is a significant issue in power generation insurance. Bearings are largely present in turbine of power generation. The purpose of this paper is to explore the support vector regression for bearing state degradation. The method is applied on PRONOSTIA dataset which is an experimental platform dedicated to test methods related to bearing health assessment. Several data sets have been used to explore the characteristics of support vector regression. The experiments on real data show that the support vector regression is similar to smoothing technique. A life table gives probabilities based on failure per thousands in a given year and used to help determine premiums. The proposed method can be served as a part of power generation insurance. The main issue in power generation insurance is how to construct a mortality table like in power generation. The methodology proposed in this paper is a new application of mortality table construction in power generation insurance.

2020-01-01T00:00:00Z Ramdani, Yani http://hdl.handle.net/123456789/26571 2020-01-21T02:29:28Z 2019-10-04T00:00:00Z

Correlation Research on the Application of Scientific Debate Strategy to Academic Performance Based Mathematical Prior Ability of Students in The Integral Concept Ramdani, Yani This research examines the influence of learning with scientific debate strategy on academic performance throught the enhancement of mathematical competence of the student based MPA in the integral concept. The study design was a quasi-experiment that involving 200 students. The research instrument was mathematics competency tests with indicators: (1) Understanding of concepts; (2) Procedure fluency; (3) Strategic competence; (4) Adaptive reasoning; (5) Productive disposition. Data of mathematical competence enhancement were analyzed using Mann Whitney-U test. Data of pretest and posttest were analyzed by Kruskal-Wallis and ANOVA. Students who follow Integral Calculus learning with scientific debate strategy are significantly better than students who follow conventional learning. The Mathematical Prior Ability (MPA) factor in conventional class has a significant influence on academic performance throught the enhancement of student mathematical competence.The Mathematical Prior Ability(MPA) factor in theclass of scientific debate strategy did not have a significant influence on academic performance throught the enhancement of student mathematical competence

2019-10-04T00:00:00Z