The relationship between parent warmth, self-esteem, e-learning and mental health among undergraduate students in UUM

Nowadays, mental health has developed part of students’ study life to the numerous internal and external prospects put on their shoulders. Every student can feel the impact of a mental health problem in a competitive environment at some stage in their life. As healthy students will be the healthier employees of the future, the mental health of university students is a key public health problem. The purpose of this research is to analyses parent warmth, self-esteem, and e-learning factors that affect mental health among undergraduate students Universiti Utara Malaysia (UUM). To analyses the relationship between the variables, the quantitative approach was chosen. The survey was distributed to undergraduate students at UUM's School of Business Management (SBM) and received a total of 382 responses. The data were analyzed using version 26 of SPSS, and the results showed that parent warmth and e-learning have a significant impact on mental health, while self-esteem does not have a significant impact on mental health among SBM undergraduate students. Therefore, recommendations are made to stakeholders, consequences are mentioned, and future research is also indicated

Cross-domain sentiment analysis model on Indonesian YouTube comment

A cross-domain sentiment analysis (CDSA) study in the Indonesian language and tree-based ensemble machine learning is quite interesting. CDSA is useful to support the labeling process of cross-domain sentiment and reduce any dependence on the experts; however, the mechanism in the opinion unstructured by stop word, language expressions, and Indonesian slang words is unidentified yet. This study aimed to obtain the best model of CDSA for the opinion in Indonesia language that commonly is full of stop words and slang words in the Indonesian dialect. This study was purposely to observe the benefits of the stop words cleaning and slang words conversion in CDSA in the Indonesian language form. It was also to find out which machine learning method is suitable for this model. This study started by crawling five datasets of the comments on YouTube from 5 different domains. The dataset was copied into two groups: the dataset group without any process of stop word cleaning and slang word conversion and the dataset group to stop word cleaning and slang word conversion. CDSA model was built for each dataset group and then tested using two types of tree-based ensemble machine learning, i.e., Random Forest (RF) and Extra Tree (ET) classifier, and tested using three types of non-ensemble machine learning, including Naïve Bayes (NB), SVM, and Decision Tree (DT) as the comparison. Then, It can be suggested that the accuracy of CDSA in Indonesia Language increased if it still removed the stop words and converted the slang words. The best classifier model was built using tree-based ensemble machine learning, particularly ET, as in this study, the ET model could achieve the highest accuracy by 91.19%. This model is expected to be the CDSA technique alternative in the Indonesian language

An Intelligent Crisis-Mapping Framework For Flood Prediction

This paper proposes a new framework for crisis-mapping with flood prediction model based on the crowdsourcing data. Crisis-mapping is still at infancy stage development and offers opportunities for exploration. In fact, the application of the crisis-mapping gives fast information delivery and continuous updates for crisis and emergency evacuation using sensors. However, current crisis-mapping is more to the information dissemination of flood-related information and lack of flood prediction capability. Therefore, this paper applied artificial neural network for flood prediction model in the proposed framework. Sensor data from the crowdsourcing platform can be used to predict the flood-related measures to support continuous flood monitoring. In addition, the proposed framework makes used of the unstructured data from the Twitters to support the flood warnings dissemination to locate flood area with no sensor installation. Based on the results of the experiment, the fitted model from the optimization process gives 90.9% of accuracy performance. The significance of this study is that we provide a new alternative in flood warnings dissemination that can be used to predict and visualized the flood occurrence. This prediction is significant to agencies and authorities to identify the flood risk before its occurrence and crisis-maps can be used as an analytics tool for future city planning

The family hope program using AHP method

The Government program in tackling the economic crisis that has occurred so far is by providing direct assistance to very poor families (KSM) in every village throughout Indonesia. The Family Hope Program (FHP) is one of the government's conditional aid programs as a form of compensation from the fuel price increase, which certainly affects the lives of the wider community, including the poor. In order for the expected results to be more accurate and the system designed is arranged systematically, the authors decided to use Analytical Hierarchy Process (AHP). This decision support model will describe the problem of multi-factor or multi-criteria into a form of hierarchy, From the results of the test the shrill and weight of FHP assistance is the type of work of the head of the family is not fixed in the first rank with 4.9 shrill. With the results of the output is feasible or not prospective recipient in FHP, obtained from the comparison of the lamda weight of the rating category with the weight value of the predetermined ratio

Higher education selection using simple additive weighting

The process of selecting a college should be based on the capabilities and needs of the community. When society is faced with a large selection of college criteria and most societies are confused about choosing the appropriate college for themselves and the job demands. From this it was made a decision support system aimed at helping the community to choose a college that suits the ability and demands of the work. Decision support system plays a role in helping people get the right recommendations in the selection of universities. This decision support system is also designed to help the community to choose a college that suits their needs so that the public is not confused because of the many criteria of universities faced by the community because the admin already has recommendations according to the needs of the community by using Simple Additive Weighting (SAW) method

Poverty level grouping using SAW method

Poverty is social gap problem for some people with below average income level but in Pringsewu district the poverty rate is significantly decreased so it is expected to increase the potential of Pringsewu region to be better, in increasing the potential of the region it needs a system that is expected to assist in determination of poverty level in sub district in Pringsewu by data clustering and ranking from every subdistrict in Pringsewu Regency using SAW method. Therefore, we are interested to build an application of Poverty Grouping in Pringsewu region in the form of Poverty Index of the last few years, existing data is expected to be a reference to increase the potential of the area by reducing the poverty rate every year. It is expected that the data obtained can be a reference of the government in reducing poverty level in subdistrics in Pringsewu District

Determination of the best quail eggs using simple additive weighting

Eggs are livestock products contributed greatly to the achievement of the nutritional adequacy of the public; the egg is a food that is very good for children who are growing because it contains nutrients such as a complete protein, fat, vitamins and minerals that are easy to digest. One of the eggs are much in demand by children are quail eggs. The nutritional value of quail eggs is not less than the nutritional value of eggs containing 12.8% protein and 11.5% fat. Quail eggs are good quality will have good nutritional value anyway. To determine the quality of a good quail eggs will require an expert system. The method used in determining the quality of a good quail eggs using Simple Additive weighting method. The criteria in this research that egg size, style/color of the shell, the shell thickness, shell texture, shape and cleanliness of quail eggs. With the expert system is expected to assist farmers in determining the quail eggs quail egg quality so that the people can consume quail eggs that have good nutritional value. The results of this study showed an alternative ranking first in C with a value of 0.95, ranking second D with a value of 0.7208, ranking third E with a value of 0675, ranking the fourth A with a value of 0.4542 and ranking last in the B with a value of 0.4541

Design of online transaction model on traditional industry in order to increase turnover and benefits

Online transactions are transactions made sellers and buyers online through the Internet media, there is no direct encounter between buyers and sellers. Currently with the rapid development of technology and the Internet in Indonesia, has had a great impact on the change of industrial business. That is starting from the way advertising, buying and selling, how to interact between humans, and so forth. With e-commerce has changed a lot in the process of buying and selling. Panda Alami is one of the banana chips industry established since 1998 in Cipadang Pesawaran village. This banana chips industry still uses manual way in transaction process. To increase the turnover and profit that is the purpose of this study, the transaction model is developed with SDLC (System Development Life Cycle) and software used to design and design this application is PHP programming language, MySQL Database and Adobe Photoshop CS3. Features include product search, order, delivery and payment confirmation and thus provide integration of the entire inventory unit sales network. An equally important factor is trust. In this process trust is the main capital. Because without the trust of both parties, then the process of online transactions can not happen and done

Implementation of fuzzy analytical hierarchy process on notebook selection

Notebooks are technological devices widely adopted to assist in human daily life including learning, business, communication and other tasks. Equipped with the distinctive features, notebook was facilitated more simply for one touch screen basis to enable freely in exploring the users’ creativity. This study attempts to examine the process of selecting notebook brand among the consumers. Using AHP (Analytical Hierarchy Process) to help decision support system in the selection of Notebook from decision support systems designed to enhance all decision-process through identifying problems, selecting relevant data and defining the approaches was used to evaluate the selection of alternatives in the decision-making process. The finding reveals that the visibility of decision making into the ranking of priority with alternative choice of notebook can be viewed as follows Zyrex 16%, HP 15%, Asus 14%, Apple 13%, Samsung and Axioo 11%, Acer and Toshiba with priority 10%

Eksploitasi unjuran pinggir untuk penyetempatan plat kenderaan bebas laluan

Di Malaysia, sistem pengecaman kenderaan (SPK) seperti pengecaman plat kenderaan dan pengiraan kenderaan berkembang pesat di pelbagai bidang seperti mengenal pasti identiti kenderaan bagi tujuan penguatkuasaan oleh pihak berkuasa keselamatan dan sistem kutipan tol elektronik oleh agensi-agensi lebuh raya. Menemui kawasan diminati dalam suasana illuminasi berselerak di jalan bebas laluan menyebabkan mengesan plat kenderaan menjadi rumit dalam SPK. Kaedah unjuran pinggir dikatakan lasak kepada illuminasi namun, ia cenderung mencipta pinggir palsu dan peka kepada kebisingan yang mengancam kepada prestasi pengecaman. Justeru, kajian ini bermatlamat untuk mencadangkan satu kaedah penyetempatan plat kenderaan menggunakan ekspoitasi unjuran pinggir yang mengandungi empat langkah utama iaitu pra-pemprosessan, carian blob segi empat, analisis dan projeksi menegak blob-blob segi empat. Ia mengira jumlah informasi pinggir yang terdapat dalam blob pada setiap paksi-Y dalam imej. Kaedah penyetempatan ini kemudiannya diuji menggunakan set data plat kenderaan Eropah iaitu set data Baza Slika yang memilik 167 imej kenderaan dan set data Ondrej yang memiliki 97 imej kenderaan. Hasil kajian menunjukkan kaedah cadangan mengatasi kaedah cadangan Ondrej dengan skor ketepatan 95% pada set data Baza Slika dan sedikit rendah pada set data Ondrej iaitu 91% skor ketepatan. Selanjutnya, kaedah cadangan diuji menggunakan set data plat Malaysia iaitu Set Data Tol Sungai Long yang memiliki 584 imej kenderaan berbeza situasi pencahayaan, iaitu 297 imej pada waktu pagi, 140 imej pada waktu petang dan 147 imej pada waktu malam. Kaedah cadangan mengatasi kaedah penanda aras yang lain dan skor ketepatan sebanyak 91.24%, 93.57% dan 75.51% pada masing-masing waktu pagi, petang dan malam