The String-matching technique is part of the similarity technique. This technique can detect the similarity level of the text. The Rabin-Karp is an algorithm of string-matching type. The Rabin-Karp is capable of multiple patterns searching but does not match a single pattern. The Jaro-Winkler Distance algorithm can find strings within approximate string matching. This algorithm is very suitable and gives the best results on the matching of two short strings. This study aims to overcome the shortcomings of the Rabin-Karp algorithm in the single pattern search process by combining the Jaro-Winkler and Rabin-Karp algorithm methods. The merging process started from pre-processing and forming the K-Gram data. Then, it was followed by the calculation of the hash value for each K-Gram by the Rabin-Karp algorithm. The process of finding the same hash score and calculating the percentage level of data similarity used the Jaro-Winkler algorithm. The test was done by comparing words, sentences, and journal abstracts that have been rearranged. The average percentage of the test results for the similarity level of words in the combination algorithm has increased. In contrast, the results of the percentage test for the level of similarity of sentences and journal abstracts have decreased. The experimental results showed that the combination of the Jaro-Winkler algorithm on the Rabin-Karp algorithm can improve the similarity of text accuracy.

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The Hybrid of Jaro-Winkler and Rabin-Karp Algorithm in Detecting Indonesian Text Similarity

Control systems in the field of technology, electronic devices must be controlled. But there are still those who oppose if the room does not have a place anywhere, where there is no one at home, other people forget to change the lights, it is very inconvenient if you have to go home, even though if the lights are left activated there will be a waste, from which It was stated that a light monitoring device was provided using the Internet-based (IoT) tea-based Relay module using the NodeMcu ESP 8266 microcontroller which has been equipped with a wifi module, so that the led lights can be monitored by the user in realtime so using the IoT Program platform using the Blynk application, which can be controlled via handphone, In the system implementation, a display is made using Blynk. There are 4 on and off switch buttons which are used to facilitate and activate the Led lights. In this research, the control of Led using blynk is done 10 times. Led control testing is used to see each procedural function running correctly as expected, the results of tests that have been done get the results of 10x experiments that have been done to get 2 x interrupted experiments in the LEDs needed to connect the wifi network

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APPLICATION FOR CONTROL OF DISTANCE LIGHTS USING MICROCONTROLLER NODEMCU ESP 8266 BASED ON INTERNET OF THINGS (IoT)

Abstrak— Kesalahan pengetikan atau yang kerap disebut dengan typo sangat lazim bagi pengguna teknologi. Kesalahan pengetikan meliputi pergeseran urutan karakter dalam satu kata serta perubahan karakter atau huruf dari satu kata yang dapat terjadi karena kesalahan menekan huruf pada keyboard. Sehingga dalam sebuah mesin pencari atau search engine, hal tersebut akan sangat berpengaruh pada hasil pencarian artikel. Untuk mengatasi masalah tersebut, diperlukan sebuah aplikasi yang dapat memperbaiki kata-kata yang salah urutan dan memberikan saran kata dengan menggunakan algoritma Jaro-Winkler. Algortima Jaro-Winkler merupakan suatu metode untuk menghitung kesamaan antara dua buah string sehingga mampu memperbaiki kata yang salah urutannya sekaligus memberikan usulan kata. Data yang diambil adalah judul artikel dari Jurnal Informatika Polinema kemudian dijadikan sebagai sampel yang digunakan pada pencarian kata kunci. Hasil pengujian yang diperoleh yaitu dengan nilai precision untuk pergeseran urutan karakter sebesar 82%, pengurangan karakter sebesar 65%, dan precision untuk penambahan karakter sebesar 61%, perubahan karakter sebesar 68%, untuk nilai recall rata-rata adalah 100%.

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Sistem Koreksi Kesalahan Pengetikan Kata Kunci dalam Pencarian Artikel Menggunakan Algoritma Jaro-Winkler

The operation of dust suppressor and dust collector was operating semi-manually by pressing the power button on the local panel during the initial unloading of coal material from the barge or stockpile, where local operators manage several large areas This research is carried out on the implementation of Automatic Dust Detector for Dust Suppression operational at Paiton Unit 9 power plants with the aim of increasing the efficiency of operator and equipment performance We use House of Quality (HOQ) as a determinant of the priority scale for technical response to be implemented, namely the addition of an Automatic Dust Detector The results obtained showed a decrease in the calculation of the dust suppression operating time, ie from 5 hour 54 minutes to 5 hour 6 minutes, from 1005,36L/barge to 869,04L/barge  for water consumption, and 1L/barge to 0,86L/barge for chemical use Furthermore, the implementation of the Automatic Dust Detector can significantly increase efficiency at least 15% from operating time difference

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Implementation of Automatic Dust Detector on Dust Suppression System on Transfer Tower 0 In Paiton 9 Power Plants

— Malaria is an endemic disease transmitted by Anopheles mosquitoes, which causes increased morbidity and mortality (morbidity and mortality), maternal and child health disorders, intelligence, labor force productivity, and detrimental to tourism. From these problems, a tool was developed to monitor endemic malaria areas in real-time by using temperature and humidity data for an area. Then analyzed using the profile matching method to calculate the weight/score gap in temperature and humidity conditions using interpolation, the data will be sent by the DHT 11 sensor found on NodeMcu. The application used to find out in real-time using the Blynk application as an internet of things board with a Wifi connection for the next step NodeMcu requires coding using the Arduino IDE program, for testing the location system used consists of 5 locations namely: L1 = Jl.Magelang, L2 = Jl.Maguwoharjo, L3 = Jl.Babarsari, L4 = Jl.Wates km9, L5 = Jl.Ali times km 8. Obtained temperature and humidity data (L1 = 36.30), (L2 = 18.32), (L3 = 23.45), (L4 = 38.33), (L5 = 35.53), then the gap weight calculation using the interpolation method obtained temperature and humidity data (L1 = 3,800; 3,974), (L2 = 4,600; 4,179), (L3 = 5,000; 5,000), (L4 = 3,400; 4,282), (L5 = 4,000; 5.00), the results obtained from rank 5 locations are malaria-endemic areas, rank 1 = L3-Babarsari, rank 2 = L5-Jl.Kaliurang km 8, rank 3 = L2-Jl.Maguwoharjo, rank 4 = L1-Jl.Magelang, rank 5 = L4-Jl.Wates. from the ranking data, the location must be prioritized L3-Babarsari . Keywords— : Malaria; DHT 11, NodeMCU; Profile Matching; Blynk.

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Rancang Bangun Pemantau Daerah Endemik Malaria Berbasis IoT Menggunakan Metode Profile Matching

Searching is one of the important features on the website, but it is not uncommon for users to make typos when typing keywords. Typing errors of these keywords is usually referred to as typo. This study aims to build a system by providing suggestions for correcting typos in the search feature. Keywords search correction are obtained using the Damerau-Levenshtein Distance Approximate String Matching algorithm by to calculate the editing distance of each word in a keywords with each word in the Indonesian word dictionary. Testing was carried out as many as 40 experiments, with 10 keywords and 250 articles taken randomly. The test results show the Damerau-Levenshtein Distance algorithm is able to provide precision and recall values of 91.24% and 89.58% in providing keyword improvement suggestions. With the improvement of the system, each trial increases with precision value of 0.80 and recall value of 0.98

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Keywords Search Correction Using Damerau Levenshtein Distance Algorithm

The index term that is usually found in the back-of-book index was created to help readers with finding the information, such as important names or terms on book pages A good back-of-book index should guide the reader to find relevant term on the book page The process to create the back-of-book index requires great effort The important words should be extracted from a large collection of words in the book The subjectivity and knowledge of the author determine which important words should be indexed The inaccurate indexing process could result in back-of-book index that refers to an irrelevant page number This research aims to identify the relevant page numbers using syntactic similarity approach and semantic approach that based on Wordnet thesaurus Through these approaches, we measure the relatedness between sentence and the index term to identify the relevant page number We use Kappa statistic to measure the reliability of our methods, our experimental result shows that the semantic approach has better performance than the syntactic approach The average Kappa value in the semantic similarity framework is 0619, imply that the semantic similarity approach could identify the relevant page numbers as well as the book author

Identifying the relevant page numbers that referred by the back-of-book index using syntactic similarity and semantic similarity

Build, design and develop an Internet of Things design to monitor air quality in thewild with air pollution case studies. By utilizing the ESP-8266 type wifi modulemicrocontroller as the control center for the devices built by adding an IC4051 AnalogMultiplexer as a branching process from 1 analog channel to 7 analog channels. There are5 sensors used, namely CO (MQ-7), CO2 (Analog Infrared CO2), Dust Sensors (PM10),DHT-11 (Temperature a Humidity) and Wind speed a direction. Data recording locationand data monitoring using third party protocol, namely Ubidots.The research was conducted in 2 different locations with the time determined, namelyin the area of the UPR Informatics Engineering Department area and also in the village ofTanjung Taruna, Jabiren Raya District, Pulang Pisau Regency along with the Team of theKopernik Bali Foundation.The results of the study will be analyzed using the AQI (Air Quality Index) standardwhich is also the same as that of the BMKG as an air quality index index. By using realtimeinternet of things technology, it can make it easy to get information about the level of airquality in the wild quickly, efficiently, and the monitoring process can be done anywhereand anytime.

Rancang bangun desain internet of things untuk pemantauan kualitas udara pada studi kasus polusi udara

The practice of plagiarism among students in working on their thesis might happen. Plagiarism is done considering to the limited workmanship and lack of motivation to try with their own ability. It is necessary to provide a tool to prevent the act of plagiarism among the students. In this research, we built an application to detect the plagiarism on the thesis proposal. 
The application applies the Jaro Winkler Distance algorithm to detect the similarity from several documents. The first phase to detect the similarity of the thesis proposals is The text preprocessing phase of the document such as case folding, tokenizing,  stopwords removal and stemming. Precision and Recall formula will be used to analyze the performance of the method in application. 
The test result of the data set shows the application could find the 80% relevant data that indicated the similarity. It means the application could contribute to detect the plagiarism on the thesis proposal document.

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Mendeteksi Plagiarism Pada Dokumen Proposal Skripsi Menggunakan Algoritma Jaro Winkler Distance

Software requirements specification document must complete, unambiguous and must correct because can lead to failure in software development. It must contain sentences not redundant. Meyer's seven sins explain some errors in software requirements specification document, one of which is a Noise. Variant of the noise is redundancy. Redundancy is repeating the same information, but using different terms or phrases, thus giving the impression that new information. This research to analyze performance redundancy detection in sentences pair on software requirement specification documents using WordNet based semantic similarity methods. This study tries to develop a framework that has been proposed in previous studies in different framework that is to detected redundancy in sentences without fact extraction. The proposed approach and evaluation process uses Kappa values to determine whether reliable framework that can be used to detect redundancy in sentence pairs by using experiments in two scenarios to get good results. Our experimental result show the performance of proposed framework can used to help reduce redundancy when creating software requirements specification documents and may contributes to enhance the quality of document. Shown with good kappa values and interpretation of the Kappa value is substantial agreement. It means many agreements between experts and framework.

Enny Dwi Oktaviyani

Papers

Keywords Search Correction Using Damerau Levenshtein Distance Algorithm

Identifying the relevant page numbers that referred by the back-of-book index using syntactic similarity and semantic similarity

Rancang bangun desain internet of things untuk pemantauan kualitas udara pada studi kasus polusi udara

Mendeteksi Plagiarism Pada Dokumen Proposal Skripsi Menggunakan Algoritma Jaro Winkler Distance

Redundancy Detection Of Sentence Pairs In The Software Requirements Specification Documents With Semantic Approach