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 2019

Menampilkan 20 dari 284 data

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PERANCANGAN DASHBOARD BUSINESS INTELLIGENCE UNTUK MONITORING PENDISTRIBUSIAN PRODUK DI PT. X
Peneliti

Tati Harihayati Mardzuki, S.T, M.T Rani Susanto, S.Kom., M.Kom Anna Dara Andriana, S.Kom.,M.Kom

Program Studi

-

Deskripsi/Abstrak
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ONLINE MARKETING OF COFFEE PRODUCTS
Peneliti

Trustorini Handayani, S.E.,M.Si

Program Studi

KEUANGAN DAN PERBANKAN - D3

Deskripsi/Abstrak
The purpose of this study is to share coffee products with all coffee enthusiasts, and benefit coffee farmers from the benefits they get because there will be many coffee products purchased by the company
MODEL KEPEMIMPINAN WANITA DALAM KEWIRAUSAHAAN
Peneliti

Prof. Dr. Umi Narimawati, Dra.,SE.,M.Si

Program Studi

MANAJEMEN - S1

Deskripsi/Abstrak
Model Kepemimpinan Wanita dalam Kewirausahaan, yang memmfungsikan faktor gender dalam pengambilan keputusan
ANALISIS TECHNICAL RISK TERHADAP PENGEMBANGAN SISTEM INFORMASI /TEKNOLOGI INFORMASI (SI/TI) PADA PERUSAHAAN
Peneliti

Tati Harihayati Mardzuki, S.T, M.T Utami Dewi Widianti, M.Kom

Program Studi

TEKNIK INFORMATIKA - S1

Deskripsi/Abstrak
Menganalisa kemungkinan resiko yang terjadi pada proses pengembangan SI/TI di Perusahaan
KNOWLEDGE MANAGEMENT MODEL FOR NURSING SERVICES OF HOSPITAL
Peneliti

Tati Harihayati Mardzuki, S.T, M.T Utami Dewi Widianti, M.Kom

Program Studi

TEKNIK INFORMATIKA - S1

Deskripsi/Abstrak
Penelitian ini menghasilkan sebuah model manajemen pengetahuan di bidang keperawatan rumah sakit dengan menggunakan model SECI yang dikemukakan oleh Ikujiro Nonaka dan Hirotaka Tekeuchi, serta menggunakan algoritma text mining pada proses internalisasi.
ANALYSIS OF INTERACTION DESIGN MODEL IN SOCIAL MEDIA CONTENT MARKETING DOMAIN USING DESIGN SPRINT METHOD
Peneliti

Dian Dharmayanti, S.T, M.Kom Adam Mukharil Bachtiar, S.Kom., M.T.

Program Studi

TEKNIK INFORMATIKA - S1

Deskripsi/Abstrak
Marketing is an activity undertaken by marketers to market the product to be recognized by the target customer. In Practice, marketers use strategies such as content marketing to market product by creating content that is relevant to the customer-owned. There is software used to run a content marketing strategy that can help marketers in marketing. However, after conducting usability testing, there is a problem that the software has a low level of effectiveness and efficiency that affect the user experience of users. This research will focus to produce an appropriate model of interaction design for software in the content marketing domain using Design Sprint method. Moreover, a set of prototype and visualization will be developed as the output of this research. By using the model, software developers in this domain case are to be able to design interaction better and faster.
DESAIN SISTEM PEMBAYARAN ELEKTRONIK UNTUK KANTIN UNIKOM
Peneliti

Sri Nurhayati, MT

Program Studi

SISTEM KOMPUTER - S1

Deskripsi/Abstrak
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DESIGN OF CARGO VEHICLE MONITORING WITH RENEWABLE ENERGY AND GEOFENCING FOR LANE RESTRICTIONS
Peneliti

Mochamad Fajar Wicaksono, S.Kom., M.Kom

Program Studi

TEKNIK KOMPUTER - D3

Deskripsi/Abstrak
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DATA MINING: THE CLASSIFICATION METHOD TO PREDICT THE TYPES OF MOTORCYCLE SPARE PARTS TO BE RESTOCKED
Peneliti

Selvia Lorena Br Ginting, S.Si., M.T Sutono, M.Kom.

Program Studi

SISTEM KOMPUTER - S1

Deskripsi/Abstrak
The research intends to create an application which is able to analyse sales data in a motorcycle company to predict the types of spare parts which should be stocked. This prediction is crucial since problems are often encountered while restocking. For instance, when there have been some imprecisions occurring in deciding regarding the types of spare parts to restock, the spare parts accumulate. It can cause inefficiency in terms of storage, the products quality deteriorates due to having been stored for too long, and sometimes the best-selling products are not available in the warehouse. This application is developed with Naïve Bayes Classifier (NBC) method which has a high accuracy in predicting future occurrences. This method works by calculating the probability value in each attribute class and determining the optimal probability value. From the test results, 4500 training data with 200 sample test data has 90% similarity with the results of the restock decision without application. For 500 test data, the similarity was 96%. It is proven that this method has a high accuracy so that it can help the decision-makers solved the company problem in predicting the types of motorcycle parts to be restocked.
ANALYSIS OF PRODUCT INNOVATION OF CIBUNTU TOFU AT CIBUNTU TOFU CENTRE BANDUNG
Peneliti

Trustorini Handayani, S.E.,M.Si

Program Studi

KEUANGAN DAN PERBANKAN - D3

Deskripsi/Abstrak
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