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Effendi, M. Ridwan
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Computer Science & IT

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SISTEM INFORMASI PENDAFTARAN RAWAT INAP PADA RUMAH SAKIT PERMATA BEKASI Effendi, M. Ridwan
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 2 No 2 (2015): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v2i2.51

Abstract

Technology is currently developing very fast making such great influence in all walks of activities, including in the world of work in a company or institution, which requires adapting the technology to assist the work areas of each field. The purpose of this research is to create a system of registration information on hospital inpatient Jewel Bekasi. The purpose of the research and analysis is to test the administrative system, and designing information systems applications, especially applications of information systems in hospital administration Permata Bekasi. The research method I use is a method of analysis by surveying the system running, do interviews and data collection to obtain the information needed and design methods is to use a system of representation Data Flow Diagram, FAST (Framework For Apllications Mechanical System), entity relationship diagrams (Entity relationship diagrams), data structures and process design, input and output as well as the plan of implementation of the proposed system. Results of the analysis and design of information systems is expected to provide facilities for the hospital in performing work activities. With this system is expected to solve the problems that exist in the system and administrative services to the patient, so as to facilitate and accelerate the work of the employee in performing routine
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN BIAYA RAWAT INAP MENGGUNAKAN METODE ACTIVITY BASED COSTING PADA RUMAH SAKIT PERMATA BEKASI Effendi, M. Ridwan
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 3 No 1 (2016): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v3i1.60

Abstract

The analysis cost units of activity on the unit cost of inpatient services, in order to calculate the total financing required. The purpose of this study was to analyze the determination of the cost of hospitalization in the hospital. Analysis was method used is descriptive analysis to describe the costing method in accordance with the theory and practice of comparing with the existing costing methods. From the analysis carried out that known the price of the rooms that have been determined by the hospital for this type of Rp. 675.000 VVIP room. VIP Rp. 460.000, class I Rp. 260.000, class II Rp. 160.000, and Class III, Rp. 75.000. For the ABC method in the VIP room, I, II and III give the results of the calculation are greater than the price of the rooms that have been determined by the hospital. With the difference in price to the VIP Rp. 592.250, class I Rp. 297.257, class II Rp. 199.649, and for the third class of Rp. 85,075. While the results of the calculation VVIP class Activity Based Costing less than the cost of hospitalization has been deter mined by the hospital. That is the difference of Rp. 620.302. Of the goal should be to show that the determination of the cost of hospitalization in the department of Rumah Sakit Permata Bekasi unaccordance with there sources.
Akurasi Data Mining Untuk Menghasilkan Pola Kelulusan Mahasiswa dengan Metode NAÏVE BAYES Effendi, M. Ridwan
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 3 No 2 (2016): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v3i2.66

Abstract

Data mining merupakan cara untuk menemukan informasi dengan mencari pola atau aturan tertentu dari data dalam jumlah besar yang diharapkan dapat mengatasi kondisi tersebut. Dengan memanfaatkan data mahasiswa dan data kelulusan mahasiswa sebagai sumber datanya, diharapkan dapat menghasilkan informasi tentang pola tingkat kelulusan mahasiswa melalui teknik data mining. Kategori tingkat kelulusan di ukur dari nilai IPK (Indek Prestasi Komulatif). Metode Algoritma yang digunakan adalah metode algoritma naïve bayes. Proses pada aplikasi ini ada 2 macam yaitu, proses analisa pola data kelulusan siswa yang telah ada sebelumnya (Learning Phase) berdasarkan atribut – atribut yang di ujikan  dan proses dari analisa pola data baru yang diujikan berdasarkan pola yang telah ada (Testing Phase). Informasi yang ditampilkan pada aplikasi tersebut ada 2 macam yaitu, informasi hasil proses Learning Phase dan informasi data berupa nilai probabilitas posterior (kemungkinan kemunculan) dari masing-masing kategori tingkat kelulusan. Pada analisa data yang dilakukan diproses testing, di dapat akurasi datamining pada tingkat keakuratan sekitar 99,33% dan memiliki nilai error 0.27% berdasarkan pengujian 1043 data mahasiswa tahun 2013-2014.
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