Implementation Optimization of the Acid Catalyst Concentration for Synthesis of Anti‐Cancer Agent Gamavuton‐0 by Using Mathematical and Statistical Software

32 j The test uses three client computers that accesses e‐learning. k Allocation of memory. l Conclusion testing. A. ardware Requirement ere are the specifications of the computer head node frontend and computer nodes used in this study. Spesifikasi Komputer Head node Frontend Berikut adalah spesifikasi komputer head node frontend . a CPU Speed : . Gz b CPU Model : ntel R Core TM i M CPU c DD Device : SATA, GB d USB Controler : NEC Corporation uPD USB . e DE Device : DVD‐RW Multi f RAM : GB g Audio Device : ntel Corporation SeriesC h Ethernet Controller : Realtek Semiconductor Co., Ltd. RTL8 E i Motherboard : Dell Specification of Computer node ‐ Berikut adalah spesifikasi komputer Computer node ‐ . a CPU Speed : . Gz b CPU Model : ntel R Pentium R Dual Core CPU T c DD Device : SATA, GB d USB Controler : ntel Corporation 8 8 USB . e DE Device : DVD‐RW Multi f RAM : GB g Audio Device : ntel Corporation 8 8 h Ethernet Controllerb: Realtek Semiconductor Co., Ltd. RTL8 E i Motherboard : P B. Software Requirement ere is the need of software software used in this study. a Operation System Linux Rocks . Mamba b Message Passing nterface MP c Ganglia d Apache web server e MySQL server C. Cluster Testing System Parallel Processing By default if everything configured the cluster we got it right on the head node computer frontend then we can use the application to monitor system ganglia cluster. The following graphic display is done in the study where the following image display is still using a computer stand alone server or has not happened the processes cluster parallel processing . 33 Figure 5. Monitoring System Server Stand Alone at Ganglia Based on the description of Figure shows a graphic display of a computer processor head node frontend that stand alone, meaning that not happened a parallel processing between the computer head node frontend to computer nodes. Total processor contained on the caption above, namely four Quad Core . ost up to one unit that meaning that only the nodes that are running. D. Cluster System Parallel Processing The following graphic display is done in the study where the following image display has been a parallel processing between the computer head node frontend to the computer nodes computer‐ ‐ . Figure 6. Cluster Monitoring System at Ganglia Used 2 Node 34 Based on information from the graph Figure looks the two nodes shown on application monitoring ganglia that cluster.server.sch.id and computer‐ ‐ .local, meaning between the computer head node frontend and computer nodes computer‐ ‐ are connected in parallel cluster . The information that can be seen from the above picture by default will be visible all the resources that exist in the system, based on what tab shows the metric system in monitoring, can select a category. For more detail see Cluster status we can choose the Top Cluster shows information process from each node in the cluster system. Total processor contained on the caption above those six pieces, where the head node computer frontend is using a Quad Core processor and computer nodes computer‐ ‐ using processor Dual Core. ost up two that meaning there are two nodes that are running. E. Testing Used Computer Note Once everything is installed properly it will display the image below, enter login com with password com on computer‐ ‐ . Computer nodes will automatically log them centrally on the head node computer frontend . Figure shows of computer‐ ‐ and computer‐ ‐ were performed in this study. Figure 7. Login display of Computer‐0‐0 After all installed properly to ensure computer head node frontend and the computer nodes are integrated correctly, then we will select the tab Physical View in the monitoring system in the ganglia so that the display appears as below. Figure 8. Display of Physical View at Ganglia 3 Based on information shows in figure 8 the head node computer frontend and the computer nodes are integrated properly. n other information that can be seen from the description of the image above the number of processors, processor speed, total memory, total hard drive. F. Testing with Client Computer Accessing e‐Learning The next stage is to test from a client computer to access e‐learning. n this experiment will be accessible using a web browser Mozilla Firefox, from the server side using Apache as the web server and MySQL as the database server of its. Figure 9. One of user login in e‐Learning Based on information from the figure shows the user Abdul Syukur was login at page e‐learning on the computer head node frontend . G. Testing Used Two Unit of Client Computer Client to Access e‐Learning Figure 10. Cluster monitoring system used 2 Unit of client computer to access e‐Learning 3 Based on information from the computer graphic image shows a cluster in figure parallel processing where the condition of the computer graphics head node frontend , which provides e‐learning web server being accessed using two units of the client computer. At the time of the client computer to access e‐learning server looks graph between cluster.server.sch.id and computer‐ ‐ .local traffic will be increase and balance, reflecting the diversity of traffic that is displayed using three units of the client computer than using two computers client and the client computer unit is accessing e‐ learning. . Memory Allocation n this case the memory usage will certainly be indispensable in doing parallel processing. Every memory usage will assist in the process of balancing cluster to improve server performance or e‐learning. Table is shows the result of the conclusion of use of available memory. Table 1. Memory used

6. Conclusion

The conclusions in this test are: . The entire cluster has been able to run as expected. . The client computer successfully accesses the e‐learning web server that no computer head node frontend . . From the results of testing the use of a single node processor Cluster Load Percentages is and the use of two nodes using a processor Cluster Load Percentages is . To use cluster.server.sch.id processor ‐ and for the use of the processor computer‐ ‐ .local ‐ . References Fatullah Fani, Mutiara MQN A. Benny, Yulianto Chandra, Analisa Kinerja Cluster Linux Dengan Pustaka MPICH Terhadap Perkalian Matriks”, KOMMT , Jakarta. arsono Nonot, Sukaridhoto Sritrusta, Subhan Ahmad, Sudarsono Amang, Model Distributed Data Processing Berbasis Open Source Untuk Pengolahan Data Kependudukan Dalam Rangka mplementasi e‐Gov ndonesia”, Prosiding Konferensi Nasional, Bandung. idayat Syarif, Pemrosesan Paralel Menggunakan Komputer eterogen”, SNAT , Yogyakarta. Kurniawan Agus, Arsyad Sagi, Desain dan mplementasi Komputasi Paralel Pada Excel”, SNAT , Yogyakarta. Lauwali Tomiputra, Kartawidjaja A. Maria, 8 Komputasi Paralel Menggunakan Parallel Virtual Machine Untuk Peningkatan Kinerja Komputasi”, Jurnal Elektro, Jakarta. Liswandini ntan, rawan Budhi, rzama, Studi Komparatif Antara Parallel Virtual Machine PVM dan Message Passing Interface MP Dengan Memanfaatkan Local Area Network LAN ”, Jurnal, Bandung. Prianto Bayu, 8 Cluster Komputer Sebagai Pengganti Super Komputer Tunggal Untuk Pemodelan Kimia Komputasi” Jurnal Berita Dirgantara. Siregar Simon, smail, endri Rio, Pengukuran Kecepatan Proses Pada High Performance Computing PC Cluster Server”, Jurnal, Bandung. Suwarningsih Wiwin, Nuryani, Arisal Andria, Wirahman Taufik, Masthurah Nurhayati, Membangun Cluster Dengan Menggunakan IGOS Dwi Warna”, SNAT , Yogyakarta. Widyatmoko Amri, alimurahman, Manajemen Linux Cluster Menggunakan Rocks 4.1 dan ntegrasi Model Atmosfer WRF”, Prosiding Semiloka Teknologi Simulasi dan Komputasi Serta Aplikasi, Bandung. Joint Scientific Symposium IJJSS 2016 Chiba, 20‐24 November 2016 37 Designing an Automated Control of a Portable Hydrophonic Plantation Facility based on Fuzzy Logic Algorithm. Wahidin Wahab a and Andhika Kumara Djafri b ab Department of Electrical Engineering, Universitas Indonesia Kampus UI Pondok Cina Depok, Indonesia 16424 Abstract The paper discusses the design of an apparatus for hydrophonic plants to grow effectively in a limited growth area, using a plastic square tank with a size of cm by 8 cm, which is filled using a pump with water and the growth media, so that it can be easily move from one place to another, and moreover can be stacked on top of another. The required acidity and nutrient, as well as the intensity of sunlight, are controlled using a microcomputer, based on the pre‐set values to the standard requirements for specific vegetables. These values are set preliminary in to the microcomputer and use as references for the control algorithms. To release the system from the non‐linearity conditions, the fuzzy logic control algorithm is applied to each of the control loop such that the growth environtment required for the vegetables can be achieved. A stirrer is used to speed‐up the mixing time to reach homogeneous condition. The Takagi–Sugeno type Fuzzy Logic Controller was used, with only three membership functions at the input and the inference results are then weighted averaged at the output. The results shows that the apparatus works well under closed loop control, although there is still a small problem due to slow response and the insentitivity nature of the p sensor that should be clean very often for better results. Abstract should be approximately ‐ words in length Keywords portable growth media, fuzzy logic Control, plant nutrition, p sensor, acidity

1. Introduction

The current trend on hydroponics technology in farming is heading towards a promising growth with applications mainly in the green vegetable industry[ ]. Several ydroponic methods can be applied according to resource availabilities and needs, and nowadays it is not only done by farmers, but also by hobbyist in regular households [ ][ ]. Although the technology is fairly easy to be implemented, it is occasionally found difficult to get good results due to the improper handling to maintain the constant nutrition value, growth media acidity, as well as lighting, which are important aspects in the farming [ ]. For this reason, a technology to support the maintenance of hydroponic plants automatically, is developed so that farmers can achieve the highest quality with Wahidin Wahab Tel.+ ‐8 ‐ ‐ , fax: + ‐ ‐ 8. E ‐mail address: wahidin.wahabui.ac.id