Analysis of Web Scraping Techniques to Get Keywords Suggestion and Allintitle Automatically from Google Search Engines

Keyword research is one of the essential activities in Search Engine Optimization (SEO). One of the techniques in doing keyword research is to find out how many articles titles on a website indexed by the Google search engine contain a particular keyword or so-called "allintitle". Moreover, search engines are also able to provide keywords suggestion. Getting keywords suggestions and allintitle will not be effective, efficient, and economical if done manually for relatively extensive keyword research. It will take a long time to decide whether a keyword is needed to be optimized. Based on these problems, this study aimed to analyze the implementation of the web scraping technique to get relevant keyword suggestions from the Google search engine and the number of "allintitle" that are owned automatically. The data used as an experiment in this test consists of ten keywords, which each keyword would generate a maximum of ten keywords suggestion. Therefore, from ten keywords, it will produce at most 100 keywords suggestions and the number of allintitles. Based on the evaluation result, we got an accuracy of 100%. It indicated that the technique could be applied to get keywords suggestions and allintitle from Google search engines with outstanding accuracy values.

Optimasi perencanaan produksi menggunakan metode linier goal programming (studi kasus pada UD. Koing)

Small Medium Enterprise (SME) industry hold significant role in economic development. In order to be competitive in competition, industry demanded to be able to make optimum production plan for fulfilling the customer needs. UD KOING as one of product made based skin manufacture company from time to time demanded to maximize profit production-target volume, formulating model problems and optimization of raw material. The answer of all those challenges are by using goal programming method, where this method can achieve more than one goal only. Based on the data procession, that the company tarvet can be achieved thrugh the company profit IDR 7.089.620 and total production cost is IDR 16.635.380 by producing wallet total 51 pcs, purse 9 pcs, nametag 13 pcs, pouch 15pcs and necklace 14 pcs.

Feasibility Study of Massive Open Online Course (MOOC) in Supporting Self Determined Learning in Perguruan Tinggi Keagamaan Islam Negeri (PTKIN)

The learning model in the digital era has changed from traditional face-to-face learning to online learning. This causes stuttering and uncertainty for educational institutions, including the State Islamic Religious University (PTKIN), especially the readiness of lecturers. Each lecturer has different models, strategies and learning media in managing the class according to their understanding and ability in online learning. This study aims to see the readiness of PTKIN lecturers for online learning through MOOCs media with a heutagogy approach using the e-learning system at their respective universities.The quantitative research method uses 5 elements of heutagogy and 1 element of MOOCs with 52 sampling data on PTKIN lecturers.The results show that lecturers have competence and readiness in using online learning technology, but there are weaknesses in lecturers' understanding in using the heutagogy approach in learning.

A Social Network Analysis: Identifying Influencers in The COVID-19 Vaccination Discussion on Twitter

Social media analytics, especially Twitter, has experienced significant growth over the last few years. The data generated by Twitter provides valuable information to many stakeholders regarding user behavior, preferences, tastes, and characteristics. The presence of influencers on social media can invite interaction with other users. An influencer can affect the speed of spreading information on social media. This study looks at the influence of influencers and information dissemination channels on Twitter data related to COVID-19 vaccination in Indonesia as one of the hot Twitter discussion trends. This study applies Social Network Analysis (SNA) as a theoretical and methodological framework to show that interactions between users have differences on the network when the analyzed tweets are divided into mention and retweet networks. This study found that the key accounts in disseminating information related to Covid-19 vaccination were dominated by official accounts of government organizations and online news portals. The official Twitter account of government organizations turns out to have an essential role in disseminating information related to COVID-19 vaccination, namely the @KemenkesRI account belonging to the Ministry of Health of the Republic of Indonesia and the @Puspen_TNI account belonging to the TNI Information Center.

Web based Enhanced Interior Gateway Routing Protocol (EIGRP) on cisco router 2811 using cisco's Application Programming Interface (API)

Enhanced Interior Gateway Routing Protocol (EIGRP) is a routing protocol that can be used to determine the path of data to be sent. EIGRP can achieve goals and study interconnected networks to obtain useful information to determine the best path. EIGRP is only adopted by Cisco routers or can be called a Cisco Proprietary Protocol, which can only be used on Cisco router devices. Currently, the EIGRP routing configuration uses the command line. For this reason, a Website-based EIGRP system was created and can be accessed remotely (remotely) with the aim of providing freedom of access and not focusing on one device. Website-based EIGRP system was created by utilizing Cisco's API as a liaison between the programming language and Cisco Router 2811 software. Telnet utilization plays a very important role in creating a Website-based EIGRP System where Telnet can provide wider access in management. By visiting the host and port of the router, the EIGRP Website Based System can easily do this. The results of the test in this study indicate that the Website-based EIGRP system is proven to be able to configure, so that administrators can use it for device management of Cisco Router 2811.

Detection of fake shallots using website-based haar-like features algorithm

Shallots is commonly used as essential cooking spices or complement seasoning. The high market demand for this commodity has triggered some people to counterfeit it. They mix the shallots with defective products of onions to get more benefits. It urges to provide a system that can help people to distinguish whether the shallot is original or fake. This research aims to provides an object recognition system for fake shallots utilizing the Haar-Like Feature algorithm. It used the cascade training data set of 59 positive images and 150 negative images with 50 comparison images. The identification process of the shallots was through the haar-cascade process, integrated image, adaptive boosting, cascade classifier, and local binary pattern histogram. This system was made based on the Django website using the python programming language. The test was conducted 30 times on Brebes shallots mixed with Mumbai's mini onions in a single and mixture test method. The test obtained an average percentage of 69.2% for the object recognition of Mumbai's mini onions.

Netiquette concept at the assessment of college student social competence with TOPSIS method

Social competence of students college is important during the process of implementing the practicum, from social competence we can find out capable the students are in several ways such as the ability to collaborate, speak in forums, reduce social conflicts in the environment, make a network and much more. In this study, it provides a model solution for assessing social competence in students college when carrying out practicum. The purpose of the study was to develop an assessment model by measuring students' social competence during the implementation of the practicum. The number of correspondents in the study was 78 students taken from the number of practicum students in Aerospace Engineering. The data analysis technique uses the TOPSIS method, where the results of this study will obtain the best ranking of 78 KP students who have the highest social competence value. The model of the assessment can be used by lecturers of the Aerospace Engineering, Adisutjipto Aerospace Technology Institute during the practicum process or after. With this assessment model, the advantages of the Adisutjipto Aerospace Technology Institute can synergize in creating graduates with a global and humanistic character.

Marchetti type of aircraft engine error detection system using hill climbing heuristic

Transportation has become a human need today, one of which is air transportation, namely airplanes. In order for the aircraft to be used properly and comfortably, it is necessary to carry out routine maintenance, especially before flying. Problems caused by aircraft engines are sometimes small problems that do not require a high level of knowledge. To overcome this, maybe someone who has very basic knowledge of aircraft engines can do it. But sometimes these problems also require a high level of expertise regarding these components so that they require technicians or experts to repair them. Through this application, users can consult the system such as consulting with experts to find out the symptoms that occur on the plane and find solutions to the problems encountered. The expert system built using the Hill Climbing Heuristic method resulted in 72.67% when tested on respondents.