Pembuatan Model Profil Mahasiswa Fakultas Teknik Universitas Pancasila

Promotion is a must for a university to get students. With the innocence of the promotion team about the existing student profile, it will cause the team does not know which segment should be the promotion target. The consequence is that the promotion cost will be higher. In order to have a better promotion, we can use direct marketing method. In this method, a profile model of the existing students must be first created. With this profile model, promotion team can focus the promotion only to candidate student match with the model. The advantages of this method are: promotion cost can be reduced, response rate increase, and profit also increase. In order to create a model in direct marketing, we need previous promotion data. Since previous promotion data is not available, two methods in creating preliminary models are proposed. Next, the preliminary models will be tested using data mining software available in the market. Model with minimal accuracy of 75% will be chosen. If there are more than one model with minimal accuracy of 75%, then model with the highest accuracy will be chosen

PEMBUATAN MODEL PROFIL MAHASISWA FAKULTAS TEKNIK UNIVERSITAS PANCASILA

Promotion is a must for a university to get students. With the innocence of the promotion team about the existing student profile, it will cause the team does not know which segment should be the promotion target. The consequence is that the promotion cost will be higher. In order to have a better promotion, we can use direct marketing method. In this method, a profile model of the existing students must be first created. With this profile model, promotion team can focus the promotion only to candidate student match with the model. The advantages of this method are: promotion cost can be reduced, response rate increase, and profit also increase. In order to create a model in direct marketing, we need previous promotion data. Since previous promotion data is not available, two methods in creating preliminary models are proposed. Next, the preliminary models will be tested using data mining software available in the market. Model with minimal accuracy of 75% will be chosen. If there are more than one model with minimal accuracy of 75%, then model with the highest accuracy will be chosen. Abstract in Bahasa Indonesia: Promosi merupakan suatu keharusan bagi sebuah universitas untuk mendapatkan mahasiswa. Dengan masih awamnya tim promosi terhadap profil mahasiswa yang sudah ada, maka tim promosi melakukan promosi tanpa melihat segmen pasar yang harus dituju. Konsekuensinya adalah biaya promosi menjadi lebih mahal. Untuk melakukan promosi dengan lebih baik, dapat menggunakan metode direct marketing. Pada metode ini, model profil dari mahasiswa yang sudah ada harus dibuat terlebih dulu. Dengan menggunakan model profil ini, tim promosi dapat memfokuskan promosi hanya pada calon-calon mahasiswa yang sesuai dengan model. Keuntungan dari metode promosi ini adalah biaya promosi dapat dikurangi, tingkat respon meningkat, dan keuntungan juga meningkat. Untuk membuat model pada direct marketing dibutuhkan data dari promosi sebelumnya. Karena data promosi sebelumnya tidak tersedia, dua metode diusulkan untuk membuat model awal. Selanjutnya model awal yang dibuat dites menggunakan perangkat lunak data mining yang tersedia di pasaran. Model dengan akurasi minimal 75% dipilih. Jika ada lebih dari satu model dengan akurasi minimal 75%, maka model dengan akurasi tertinggi dipilih. Kata kunci:data mining, pemasaran langsung, klasifikas

Creating Personality and Preference Models based on Demographic Data for Personality-based Recommender System for Fashion using Decision Tree and Association Rule

Several researchers have used posts on social media to estimate the personality traits of the authors. A personality-based recommender system that applies the method to predict the user's personality traits requires the user to write a status of a certain length. The problem with this is that not everyone writes a status on their social media accounts. Therefore, such a recommender system cannot be used for everyone. To solve this problem, we propose a new method of indirectly predicting personality traits which is based on demographic data. To be able to do this, a personality model was needed that relates demographic data to personality traits. As many as 325 personality models were created, of which there were 65 models for each of the following traits namely, agreeableness, emotional stability, intellect, extraversion, conscientiousness. We used three criteria to select the model to be used, namely demographic data that does not change in the course of one’s life, it does not have too many categories and the model has quite good accuracy. Based on the above criteria, we chose a model consisting of a combination of age group and gender. Another reason for choosing this model was the findings of previous researchers which state that there is a very close relationship between ages - gender and personality traits. The personality model reveals that each age group – gender cohort has specific personality except for adulthood female and middle age female who have the same personality. To be able to recommend certain items to users of the recommender system, one more model was needed, namely a preference model that connects personality traits with preferences for fashion styles. The preference model shows that only male with low emotional stability and high intellects likes Natural and Masculine fashion style. Meanwhile, male and female with other personalities like Elegant Chic and Natural fashion style

Pengaruh Gaya Kepemimpinan, Komunikasi dan Lingkungan Kerja Fisik terhadap Semangat Kerja Karyawan pada PT. BPR TISH Sukawati Gianyar

This study was aimed to investigate the effect of partially simultaneously and leadership styles, communication and physical work environment for employee morale at PT. BPR Tish Sukawati Gianyar and to determine which variables are dominant influence on employee morale. Sampling technique used is the census method with a sample size of 46 people. Observation, interviews and questionnaires were used in data collection methods. Analysis using multiple linear regression techniques. The result showed that the style of leadership, communication and physical work environment has the effect of simultaneously or partially on the morale of employees at PT. BPR Tish Sukawati Gianyar. While the variables that have a dominant influence on employee morale at PT. BPR Tish Sukawati Gianyar is variable leadership style. Related to research findings that leadership style became dominant variables that have an influence, it may be advisable for the company to pay attention to his leadership style, to be able to provide the motivation to move forward and satisfaction in the work, so that the spirit and excitement of the work can be improved

PEMBUATAN MODEL PROFIL MAHASISWA FAKULTAS TEKNIK UNIVERSITAS PANCASILA

Promotion is a must for a university to get students. With the innocence of the promotion team about the existing student profile, it will cause the team does not know which segment should be the promotion target. The consequence is that the promotion cost will be higher. In order to have a better promotion, we can use direct marketing method. In this method, a profile model of the existing students must be first created. With this profile model, promotion team can focus the promotion only to candidate student match with the model. The advantages of this method are: promotion cost can be reduced, response rate increase, and profit also increase. In order to create a model in direct marketing, we need previous promotion data. Since previous promotion data is not available, two methods in creating preliminary models are proposed. Next, the preliminary models will be tested using data mining software available in the market. Model with minimal accuracy of 75% will be chosen. If there are more than one model with minimal accuracy of 75%, then model with the highest accuracy will be chosen. Abstract in Bahasa Indonesia: Promosi merupakan suatu keharusan bagi sebuah universitas untuk mendapatkan mahasiswa. Dengan masih awamnya tim promosi terhadap profil mahasiswa yang sudah ada, maka tim promosi melakukan promosi tanpa melihat segmen pasar yang harus dituju. Konsekuensinya adalah biaya promosi menjadi lebih mahal. Untuk melakukan promosi dengan lebih baik, dapat menggunakan metode direct marketing. Pada metode ini, model profil dari mahasiswa yang sudah ada harus dibuat terlebih dulu. Dengan menggunakan model profil ini, tim promosi dapat memfokuskan promosi hanya pada calon-calon mahasiswa yang sesuai dengan model. Keuntungan dari metode promosi ini adalah biaya promosi dapat dikurangi, tingkat respon meningkat, dan keuntungan juga meningkat. Untuk membuat model pada direct marketing dibutuhkan data dari promosi sebelumnya. Karena data promosi sebelumnya tidak tersedia, dua metode diusulkan untuk membuat model awal. Selanjutnya model awal yang dibuat dites menggunakan perangkat lunak data mining yang tersedia di pasaran. Model dengan akurasi minimal 75% dipilih. Jika ada lebih dari satu model dengan akurasi minimal 75%, maka model dengan akurasi tertinggi dipilih. Kata kunci:data mining, pemasaran langsung, klasifikas

Membangun Aplikasi Data Base Dengan VB.NET

XIV + 370 hlm.; 23 C