Kinerja Penelitian
Penelitian merupakan salah satu tugas dalam Tridarma Perguruan Tinggi yang wajib dilakukan oleh dosen. Halaman ini menampilkan berbagai penelitian yang telah dilaksanakan oleh dosen di Universitas Komputer Indonesia.
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Data Penelitian - Tahun 2018
Menampilkan 70 dari 279 dataKlik pada judul penelitian untuk melihat detail data penelitian
ANALISIS DAN DESAIN JARINGAN MENGGUNAKAN SOFTWARE DEFINED NETWORK (SDN)
Peneliti
Susmini Indriani Lestariningati, S.T, M.T
Program Studi
TEKNIK KOMPUTER - D3
Deskripsi/Abstrak
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ANALISIS ALGORITMA FUZZY LOGIC DALAM PENGKLASIFIKASIAN TUGAS AKHIR
Peneliti
Program Studi
TEKNIK KOMPUTER - D3
Deskripsi/Abstrak
-
METODE FUZZY UNTUK PERKIRAAN PERALATAN RUMAH TANGGA RUMAH SAKIT
Peneliti
Program Studi
SISTEM KOMPUTER - S1
Deskripsi/Abstrak
-
IMPLEMENTASI SISTEM KEHADIRAN BERBASIS RASPBERRY PI
Peneliti
Aprianti Putri Sujana, S.Kom, M.T.
Program Studi
SISTEM KOMPUTER - S1
Deskripsi/Abstrak
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ANALISIS SISTEM KENDALI BERBASIS RASPBERRY PI
Peneliti
Aprianti Putri Sujana, S.Kom, M.T.
Program Studi
SISTEM KOMPUTER - S1
Deskripsi/Abstrak
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PERANCANGAN MESIN ELECTRONIC DATA CAPTURE (EDC) UNTUK PEMBAYARAN ELEKTRONIK (E-PAYMENT) BERBASIS MINI PC RASPBERRY PI
Peneliti
Susmini Indriani Lestariningati, S.T, M.T
Program Studi
TEKNIK KOMPUTER - D3
Deskripsi/Abstrak
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THE DEVELOPMENT OF BANK APPLICATION FOR DEBTORS SELECTION BY USING NAIVE BAYES CLASSIFIER TECHNIQUE
Peneliti
Selvia Lorena Br Ginting, S.Si., M.T Assoc. Prof. John Adler, S.Si, M.Si
Program Studi
SISTEM KOMPUTER - S1
Deskripsi/Abstrak
The purpose of this study is to create an application that functions automatically with high accuracy when analyzing bank customer data. This needed due to non-performing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-performing loan can be avoided. NBC calculates the probability of one class from each group of attributes and determines which class is most optimal. The accuracy of the NBC sampling test from 500 data is 95% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker.
RAW MATERIAL INVENTORY CONTROL ANALYSIS WITH ECONOMIC ORDER QUANTITY METHOD
Peneliti
Program Studi
TEKNIK INFORMATIKA - S1
Deskripsi/Abstrak
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THE INFLUENCE OF CAPITAL STRUCTURE AND DIVIDENS POLICY TO FIRMS VALUE LISTED AT INDONESIAN STOCK EXCHANGE
Peneliti
Dr. Linna Ismawati, S.E., M.Si
Program Studi
MANAJEMEN - S1
Deskripsi/Abstrak
This research aims to find evidence on whether the capital structure and dividend's policy have an impact on the firm's value. The study uses a firm-level panel data as all companies listed at Indonesian Stock Exchange who pays the dividend during the period of 2010-2015. The study develops three reseach hypoteses, which are used to represent the main theories of capital structure and theories of corporate dividends. The method used in this research consisted of the quantitative research method using explanatory survey. The design of analysis used is multiple regression analysis, coefficient of correlation analysis, and coefficient of determinant analysis. While hypothesis testing using t-test and F test. The research finding shows in partial effect the capital structure had the impact on firm's value, but the dividend's policy had not impacted significantly on firm's value. In simultaneously effect the capital structure and dividend's policy had the impact to firm's value. The implication of this study is to provide input for managers in establishing capital structure policies and dividend policies to increase the value of the company.
PENELITIAN TESIS MAGISTER: PERAMALAN INFLASI DENGAN METODA SARIMA DAN SINGLE EXPONENTIAL SMOOTHING UNTUK MENENTUKAN BIAYA HIDUP MINIMUM DI KOTA BANDUNG
Peneliti
Dr. Yeffry Handoko Putra, S.T, M.T Irfan Dwiguna Sumitra, S.Kom., M.Kom. Ph.D
Program Studi
MAGISTER SISTEM INFORMASI - S2
Deskripsi/Abstrak
Merupakan penelitian yang didanai oleh Kemenristek Dikti 2019-2020