Explaining the influence of user personality on the evaluation of it usage drivers and it usage consequences

2011 ◽  
Author(s):  
Christian Maier
Keyword(s):  
User Personality ◽  
It Usage

IT GOVERNANCE AUDIT AT PT PERUSAHAAN GAS NEGARA USING COBIT FRAMEWORK

2018 ◽  
Vol 23 (2) ◽  
pp. 95-106
Author(s):  
Mahendra Sunt Servanda ◽  
Achmad Benny Mutiara
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
It Governance ◽  
Maturity Model ◽  
Maturity Level ◽  
Efficiency And Effectiveness ◽  
Information And Communication ◽  
Level 3 ◽  
It Usage ◽  
A Company

The use of information and communication technology in a company gives an important contribution for the achievement of business objectives. PT Perusahaan Gas Negara, especially in the Business Solutions and Services Operations (BSSO), plays a significant role in the utilization of information and communication technology assets to PT Perusahaan Gas Negara. It takes a good IT governance for BSSO to improve the efficiency and effectiveness of IT usage. Audit of IT governance maturity using COBIT 4.1. Maturity model level used to determine the maturity level of IT usage in the enterprise with a scale of 0 (non-existent) to 5 (optimized). This study focused on two domains namely Plan and Organise (PO) and Monitor and Evaluate (ME) model to measure the maturity level of IT maturity levels in PT Perusahaan Gas Negara. From this study, the results of the maturity level domain PO is 3.13 and ME is 2.98, it can be given the conclusion that the maturity level of IT governance at PT PGN is in level 3 (defined). At this level means that all the procedures in the company are standardized and documented, but the company is still not able to detect the deviations that have occurred.

A psychologically-inspired fuzzy-based approach for user personality prediction in rumor propagation across social networks

2021 ◽  
pp. 1-15
Author(s):  
V. Indu ◽  
Sabu M. Thampi
Keyword(s):  
Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Common People ◽  
Rumor Propagation ◽  
Usage Patterns ◽  
User Personality ◽  
Personality Prediction ◽  
High Degree

Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.

The prediction model of personality in social networks by using data mining deep learning algorithm and random walk model

2020 ◽  
pp. 002072092093683
Author(s):  
Yu Zhu
Keyword(s):  
Data Mining ◽  
Deep Learning ◽  
Social Network ◽  
Random Walk ◽  
Prediction Method ◽  
Random Walk Model ◽  
Personality Characteristics ◽  
User Personality ◽  
Network Platform ◽  
Personality Prediction

The objective is to predict and analyze the behaviors of users in the social network platform by using the personality theory and computational technologies, thereby acquiring the personality characteristics of social network users more effectively. First, social network data are analyzed, which finds that the type of text data marks the majority. By using data mining technology, the raw data of numerous social network users can be obtained. Based on the random walk model, the data information of the text status of social network users is analyzed, and a user personality prediction method integrating multi-label learning is proposed. In addition, the online social network platform Weibo is taken as the research object. The blog information of Weibo users is obtained through crawler technology. Then, the users are labeled in accordance with personality characteristics. The Pearson correlation coefficient is used to evaluate the relation between the user personality characteristics and the user behavior characteristics of the Weibo users. The correlation between the network behaviors and personality characteristics of Weibo users is analyzed, and the scientificity of the prediction method is verified by the Big Five Model of Personality. By applying relevant technologies and algorithms of data mining and deep learning, the learning ability of neural networks on data characteristics can be improved. In terms of performance on analyzing text information of social network users, the user personality prediction method of integrated multi-label learning based on the random walk model has a large advantage. For the problem of personality prediction of social network users, through combining data mining technology and deep neural network technology in deep learning, the data processing results of social network user behaviors are more accurate.

scholarly journals PEMUPUKAN NITROGEN, FOSFOR, DAN KALIUM PADA TANAMAN AKAR WANGI

2020 ◽  
Vol 19 (1) ◽  
pp. 33
Author(s):  
ROSIHAN ROSMAN ◽  
OCTIVIA TRISILAWATI ◽  
SETIAWAN SETIAWAN
Keyword(s):  
Key Words ◽  
Block Design ◽  
Vetiveria Zizanioides ◽  
Optimum Dosage ◽  
Combination Treatments ◽  
Randomized Block Design ◽  
K Fertilizer ◽  
Increase Productivity ◽  
It Usage

<p>ABSTRAK<br />Dosis pupuk N, P, dan K optimal untuk akar wangi belum diketahui<br />dan penggunaannya  masih beragam. Penelitian bertujuan untuk<br />mendapatkan komposisi dosis pupuk N, P, dan K optimal yang dapat<br />meningkatkan produktivitas akar wangi. Penelitian dilakukan di Desa<br />Sukakarya, Garut dari bulan Januari 2009 sampai dengan Desember 2010<br />menggunakan rancangan Acak Kelompok, dengan 3 ulangan. Perlakuan<br />meliputi 9 kombinasi pupuk N, P, dan K: (1). Kontrol; (2) 100 kg SP-36 +<br />75 kg KCl; (3) 100 kg ZA + 75 kg KCl; (4) 100 kg ZA + 50 kg SP-36 + 75<br />kg KCl; (5) 100 kg ZA + 100 kg SP-36 + 75 kg KCl; (6) 100 kg ZA + 100<br />kg SP-36 + 150 kg KCl; (7) 100 kg ZA + 100 kg SP-36; (8) 200 kg ZA +<br />100 kg SP-36 + 75 kg KCl; (9) 200 kg ZA + 100 kg SP-36 + 150 kg KCl.<br />Panen dilakukan pada 12, 14, dan 16 bulan setelah tanam (BST). Hasil<br />menunjukkan bahwa pemupukan dosis 100 kg ZA + 75 kg KCl<br />menghasilkan minyak 52,59 dan 67,78 kg/ha (12 dan 14 BST) dan 200 kg<br />ZA + 100 kg SP-36 + 75 kg KCl menghasilkan 67,76 kg /ha (16 BST),<br />dengan kadar vetiverol lebih dari 50%.<br />Kata kunci: Vetiveria zizanioides, pemupukan, vetiverol, produksi, mutu<br />minyak</p><p>ABSTRACT<br />The optimum dosage of N, P, and K fertilizer has not been known<br />yet and it usage was still varied. The research aim is to obtain an optimal<br />composition of N, P, and K fertilizer that could increase productivity of<br />vetiver crop. The researsch has been conducted in Sukakarya Village,<br />Garut, from January 2009 to December 2010. The research was arranged<br />in randomized block design, with 3 replications and N, P, and K fertilizer<br />combination treatments i.e.: (1) Control; (2) 100 kg SP-36 + 75 kg KCl;<br />(3) 100 kg ZA + 75 kg KCl; (4) 100 kg ZA + 50 kg SP-36 + 75 kg KCl;<br />(5) 100 kg ZA + 100 kg SP-36 + 75 kg KCl; (6) 100 kg ZA + 100 kg SP-<br />36 + 150 kg KCl; (7) 100 kg ZA + 100 kg SP-36; (8) 200 kg ZA + 100 kg<br />SP-36 + 75 kg KCl; (9) 200 kg ZA + 100 kg SP-36 + 150 kg KCl.<br />Harvesting was done at 12, 14 and 16 months after planting (MAP). The<br />result showed that the dose of 100 kg ZA + 75 kg KCl produced vetiver oil<br />52,59 and 67,78 kg/ha (12 and 14 MAP). Meanwhile the dose of 200 kg<br />ZA + 100 kg SP-36 + 75 kg KCl produced 67,76 kg/ha (16 MAP),<br />respectively. vetiverol content were more than 50%.<br />Key words: Vetiveria zizanioides, fertilizing, vetiverol, production, oil<br />quality</p>

Explaining IT usage in government through “resistance to change”

2009 ◽  
Vol 1 (3) ◽  
pp. 176-192 ◽  
Author(s):  
Tony Kai Pong Leung ◽  
John Adams
Keyword(s):  
Resistance To Change ◽  
It Usage
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