Optimization Sentimen Analysis using CRISP-DM and Naive Bayes Methods Implemented on Social Media

Freedom of expression on social media Twitter not always give positive value, because sometimes can contains negative things such as fake news, spreads hate speech, and racism, where these kinds of tweet can be categorized as an act of Cyberbullying. Where this cyberbullying tends to increase every time. The aim of this study is to use the Naïve Bayes method in classifying types of sentiment on Twitter. The keyword used is Saipul Jamil, and the tweet was taken in September 2021. A total of 18,067 tweets were collected and then they will be labelled with a positive or negative value. This study also uses the CRIPS-DM method which is consist of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment stages. The results of this study obtained the value of Accuracy (85.6%), Negative Recall (82.1%), Positive Recall (90.23%), and Negative Precision (91.76%) Positive Precision (79.18%)

Strain distribution in severe plastic deformation of using equal channel angular pressing at 90° and 120° channel angles

Severe plastic deformation is capable of producing metals with ultra fine grained microstructure, and is the focus of this study. Equal channel angular pressing (ECAP) was used to perform severe plastic deformation on a Zn alloy. The process was simulated using finite element analysis for different channel angles of 90° and 120°. The input for material properties, loads, velocities, boundary conditions, and contacts were extracted from experiment and was assigned to the finite element models. The strain distribution values were obtained from the finite element analysis to determine how much effect the channel angle affects the Zn alloy sampl

SISTEM PENDUKUNG KEPUTUSAN DALAM PENILAIAN PRESTASI KERJA MENGGUNAKAN FUZZY-AHP DAN SAW

Employee appraisal is one of the company's efforts to evaluate employee performance and productivity. As the result, the company can also give awards to employees who are considered gives high contribution to company.  However, it is not easy to measure employee performance, because most them only based on the leaders valuation which is subjective and do not based on standards. The objective of this study is to develop a system to assess employee performance by using a combination of Fuzzy Logic, Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP is a method of weighting in based on multi-criteria decisions. This method uses a pairwise comparison matrix to  calculate the weight value. The Fuzzy logic is used to overcome the problem, where the AHP method is indicated still have subjectivity in criteria evaluation. After calculation based on combination of Fuzzy-AHP methods, the final result of employee performance will determined by using SAW method. The employee with the highest weight value will considered as the most productive employee and also gives the best performance in the company

Bird Detection System Design at The Airport Using Artificial Intelligence

Bird strike is a process of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times bird strike occurs every day (FAA, 2019). There are lot of research that already conducted to decrease number of birds at the airport. But it is not given significant changes. Hence, it is needed a model that can detect bird at the airport so that we can decrease the number of birds. Study already conducted by comparing motion detection with object detection and filter which can be used to improve detection quality. Model already developed using YOLOv4 object detection with 71.89% mean average precision. It is expected that object detection can be developed to become a bird repellent system in the futur

Determination of energy consumption during turning of hardened stainless steel using resultant cutting force

Downsizing energy consumption during the machining of metals is vital for sustainable manufacturing. As a prerequisite, energy consumption should be determined, through direct or indirect measurement. The manufacturing process of interest is the finish turning which has been explored to generate (near) net shapes, particularly for hardened steels. In this paper, we propose using measured cutting forces to calculate the electrical energy consumption during the finish turning process of metals where typically the depth of cut is lower than the cutting tool nose radius. In this approach, the resultant cutting force should be used for calculating the energy consumption, instead of only the main (tangential) cutting force as used in the conventional approach. A case study was carried out where a hardened stainless steel (AISI 420, hardness of 47–48 HRC) was turned using a coated carbide tool, with a nose radius of 0.8 mm, without cutting fluid, and at 0.4 mm depth of cut. The experimental design varied the cutting speed (100, 130, and 170 m/min) and feed (0.10, 0.125, and 0.16 mm) while other parameters were kept constant. The results indicate that the electrical energy consumption during the particular dry turning of hardened steel can be calculated using cutting force data as proposed. This generally means machining studies that measure cutting forces can also present energy consumption during the finish or hard turning of metals, without specifically measuring the power consumption of the machining process. For this particular dry turning of hardened stainless steel, cutting parameters optimization in terms of machining responses (i.e., low surface roughness, long tool life, low cutting force, and low energy consumption) was also determined to provide an insight on how energy consumption can be integrated with other machining responses towards sustainable machining process of metals

Finite element analysis of mini implant biomechanics on peri-implant bone

Mini dental implant whose diameter is between 1.8 and 2.4 mm is a dental implant design currently implemented as bone screw in in orthodontics, as support for denture, and in situations when smaller diameter implant is the feasible option. Biomechanics of the peri-implant bone inserted by mini dental implant is of interest in this study where relevant studies are lacking. This study was intended to investigate using finite element analysis the induced stress and strain on peri-implant bone when a mini dental implant is loaded. The thread pitch of the mini dental implant and the peri-implant bone type were varied, with a constant loading (100 MPa pressure) applied on the mini implant. First, the mini dental implant with three different thread pitches (0.5 mm, 1.0 mm and 1.5 mm) were inserted into a type II bone. It was found that the higher the thread pitch, the higher the maximum stress (increased from 53.2 to 78.6 MPa) and the less distributed the stress on the peri-implant bone. Next is a mini dental implant with 1.0 mm thread pitch was inserted into peri-implant bone types II, III and IV. When the bone type changes from II to III, the maximum stress becomes lower (from 57.8 to be 51.7 MPa) but more high stress was distributed in the cortical bone. The strain was more than doubled (from 0.82 to be 1.76%) on the cancellous bone. When the bone type changes from III to IV, the maximum stress was doubled (from 51.7 to be 104.8 MPa) and more high stress was distributed over the cortical bone. In cancellous bone, the maximum stress was lower (from 9.1 to be 5.3 MPa), but the strain increases almost three folds (from 1.76 to be 5.07%)

Hard turning of cold work tool steel using wipper ceramic tool

While advanced cutting tools used in hard turning applications come with expensive unit price, coated ceramic offers cheaper alternative especially for mid range of hard turning. Wiper geometry featured in coated ceramic tools enabled an increase in productivity or an improved in surface finish despite limited report on this cutting edge modification. In this study, the performance of wiper coated ceramic tool (TiN coating with mixed Al2O3/TiCN substrate) when turning hardened cold work tool steel (54-55 HRC) is evaluated by varying the cutting speed and feed in terms of tool life and surface roughness. The results were compared with those of its conventional geometry counterpart. The wiper tool results in slightly shorter tool life but with much finer surface finish than the conventional one. Design of experiment was used to quantify the effect of cutting parameters on tool life and surface roughness and to determine the optimum cutting parameters that generate the preferred machining results

Effect of rare earth addition on microstructure and mechanical properties of Al-Si alloys: An overview

This paper reviews the effect of rare earth addition on aluminium-silicon (Al-Si) alloys of hypoeutectic, eutectic, and hypereutectic types. The effects of rare earth on metallurgy, tensile strength, tensile fracture surface and wear behaviour of Al-Si alloys are highlighted and discussed in this paper. It was concluded that adding rare earth element to Al-Si alloys reduces the grain size of primary Si, increases the tensile strength and decreases the friction coefficient decreases. These indicate enhanced mechanical properties for rare earth modified Al-Si alloys are likely. © (2014) Trans Tech Publications, Switzerland