Title Thesis Decision Support System Preference Ranking Method Organizational Method For Enrichment Evaluation (Promothee)

The PROMETHEE method is a new method using outranking principles that can handle many comparisons, taking into account qualitative data as well as quantitative data and providing six types of preferences against criteria that can adequately represent all types of decisions to resolve cases.

Basically, PROMETHEE has similarities with some other MCDM (Multi-Criteria Decision Making) methods, both in terms of process and outcome. However, PROMETHEE put more emphasis on simplicity pattern of outranking calculation of input criteria (Anthonio, n.d.).

In this application there are two basic data that is alternative data and criteria. Alternate data and criteria are dynamic, meaning they can be tailored to different cases. The analysis process starts from the input process of the criteria comparison value and followed by the input of alternative comparison value.

Interface View

    

Supporting theories

• Information Systems
• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing

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Title Thesis Classification System Level of Service Satisfaction Running Repair and Docking Using Naive Bayes Method

In pemrogramman there are many algorithms, one of which is Naive Bayes algorithm that is used as a classification method.

What are the advantages and disadvantages of the Naive Bayes method
The Naive Bayesian classification is a simpler classification based on the Bayes theorem application with the assumption between independent variables. In this case, it is assumed that the presence or absence of a particular event of a group is not related to the presence or absence of any other event.

Naive Bayesian can be used for various purposes, among others, for document classification, spam detection or spam filtering, and other classification problems.

Interface View

User Dashboard

Admin View

Supporting theories

• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing
• Information Systems

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Thesis Title Psychiatric Disorders Using Forward Chaining Method

Hello Student Friends, This Time Will Share The Latest Thesis Title ni. The Title of Psychiatric Disorders Using Forward Chaining Method.

Mental or psychiatric disorders are psychological or behavioral patterns that are generally associated with stress or mental disorders that are not considered part of normal human development.

The Forward Chaining method is forward-tracking that begins from a collection of facts by searching for a rule that matches the hypothesis to the conclusion.

In this method, the data is used to determine which rule to run, then the rule is executed. Probably the process of adding data to working memory. The process is repeated until a result is found.

Interface View

Diagnosis of Disease

Disease

Symptoms of Illness

Solution

Supporting theories

• Information Systems
• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing

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Thesis Title Multi-Aspect Sentiment Analysis for Tourism in Bandung with Rule-Based Classifier

Hello Student Friends, This Time Will Share The Latest Thesis Title ni. The title is Multi-Aspect Sentiment Analysis for Tourism in Bandung with Rule-Based Classifier.

Sentiment analysis is a branch of text mining research that aims to clarify the word with the labeling process and classify it into positive and negative.

LITERATURE REVIEW

• Multi-Aspects Sentiment Analysis

1. Multi-Aspects Sentence Labeling
2. Multi Aspects Rating Prediction

• Preprocessing Methods

The preprocessing method has an important role in the text mining technique because as the first step in the text mining process.

• Dataset Performance

Steps taken to determine the effectiveness of data or information retrieval is precision and recall.

• Rule-Based Classifier

Rule-Based Classifier is a method to classify text by using rules that can be formed in accordance with the conditions required in the study.

• TripAdvisor

SYSTEM PLANNING

• Research methods
• Data collection
• System Analysis
• System Design

AIM

1. Extraction of aspect and classification of sentiment analysis on opinion of tourist comment in Bandung city with approach Rule-Based Classifier.
2. Know the accuracy using the Rule-Based Classifier approach.Supporting theories

Supporting theories

• Information System
• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing

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Title Thesis Design of Food & Beverage Ordering Applications Using Multilevel Feedback Queue Method Based Android

Hello Student Friends, This Time Will Share The Latest Thesis Title ni. Its Title of Food & Drink Ordering Application Design Using Multilevel Feedback Queue Method Based on Android.

Many mobile applications have entered the business era due to the need and speed, accuracy, all financial and other data for companies and customers, so food & beverage ordering applications using multilevel feedback queue android based algorithms are very useful for business development.

The system was developed using waterfall system development method. Waterfall method is a systematic and sequential software development method that starts at the level and progress of the system to the analysis, design, code, test and maintenance.

Multilevel feedback queue is one algorithm based on multilevel queue algorithm. The fundamental difference that distinguishes multilevel feedback queue with the usual multilevel queue lies in the possibility of a process moving from one queue to another, either with a lower or a higher priority.

This algorithm is defined through several parameters, among others:

• Number of queues.
• Scheduling algorithm for each queue.
• When to raise the process to a higher queue.
• When to lower the process to a lower queue.
• Which queue to enter the process that requires.

   

Supporting theories

• Informayion System
• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing

The purpose of making the application is to:

1. Designing food and beverage ordering apps using android platforms based on client server.
2. This food and beverage ordering app with this android mobile can notify customer orders to the kitchen and cashier.

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