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INDONESIA
Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
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SISTEM KELAS KATA BERIMBUHAN MENGGUNAKAN ALGORITMA PORTER STEMMER SEBAGAI PEMBELAJARAN BAHASA INDONESIA Muhamad Rosidin; Abdul Fadlil; Anton Yudhana
Telematika Vol 16, No 1 (2019): Edisi April 2019
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v16i1.2988

Abstract

AbstractClass of word are categories of forms, meanings and functions in the Indonesian grammar system. Determining the basic words of the word affix is still difficult. The word affix class system is a solution to determine the basic words at same time with the class of words that are affixed so that they can be used as learning Indonesian language. The word affix class system was developed using the PHP programming language. Porter algorithms are algorithms that are used to change the word affix into a root word. In this study, the word affix detected by system and separated by infiltration section, then system would process types of affixes juxtaposed with the root words to form a class of words. This can facilitate Indonesian language, basic words and word classes learning. The output is in the form of a table of steps in stemming process and determining affix words class.Keywords: Word Class, Porter, Porter Stemmer, Impression, Stemming AlgorithmAbstrakKelas kata adalah kategori bentuk, makna dan fungsi dalam sistem bahasa indonesia. Penentuan kata dasar dari kata berimbuhan masih sulit dilakukan. Sistem Kelas kata berimbuhan adalah solusi untuk menentukan kata dasar sekaligus dengan kelas kata berimbuhan sehingga dapat digunakan sebagai media pembelajaran bahasa Indonesia. Pengembangan sistem kelas kata berimbuhan berbasis web dan proses codingnya dengan bahasa pemrograman PHP. Porter algorithm merupakan algoritma stemming yang digunakan untuk mengubah kata berimbuhan menjadi kata dasar. Pada penelitian ini, kata berimbuhan dideteksi oleh sistem dan dipisahkan per bagian imbuhannya, kemudian sistem akan memroses jenis imbuhan yang disandingkan dengan kata dasar akan membentuk sebuah kelas kata. Hal ini dapat memudahkan pembelajaran Bahasa Indonesia mengenai kata berimbuhan, kata dasar dan kelas kata. Stemming dan perumusan formula sangat mempengaruhi penentuan kelas kata, karena bahasa indonesia memiliki imbuhan yang kompleks dan memerlukan algoritma stemming yang memiliki kemampuan tinggi dalam menentukan root word. Terdapat sejumlah stemming algorithme yang telah dikembangkan, pada penelitian ini stemming porter algorithme yang dipakai dalam penentuan kata dasar. Output yang dihasilkan berupa table langkah-langkah dalam proses stemming dan penentuan kelas kata berimbuhan.Kata Kunci : Kelas Kata, Algoritma Porter, Porter Stemmer, Imbuhan, Stemming
EVALUASI KONSEP PRODUK DENGAN PENDEKATAN QUALITY FUNCTION DEPLOYMENT (Studi Kasus di PT.BINTANG JAYA KLATEN) Gunawan Madyo Putro
Telematika Vol 10, No 2 (2014): Edisi Januari 2014
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v10i2.284

Abstract

At the moment the wheels of vehicles continues mningkat seiiring the continued increase in thenumber of vehicles and the number of vehicles modified by users. so many wheels that industrycontinues to expand its innovation in winning the competition . Successful product is a productthat can provide benefits in accordance with the perception that consumers ( Baxter , 2001) . Inan effort to create a product that the consumer liking it is necessary to study so that the productcan be marketed optimally . The method used in this study is the method of Quality FunctionDeployment (QFD) As for the aspects that will be discussed are covering aspects of quality ,cost aspects and environmentally friendly products. These three aspects are described in theirrespective Quality House , QFD , and Cost House . and ntuk give weight to each aspect , themethod used Analytic Hierarchy Process (AHP). From the research it can be concluded that,consumer- desired characteristics of the alloy wheels are kind of cheap , strong material , goodcolor and interesting shape in the environmentally friendly production process .Keywords : Quality Function Deployment , Cost House , Analytic Hierarchy Process
SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBORAN SUMUR MINYAK BERDASARKAN PERHITUNGAN EKONOMI Herry Sofyan
Telematika Vol 6, No 2 (2010): Edisi Januari 2010
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v6i2.1420

Abstract

Oil represent one of nature resource which is not new but represent the solid industry of capital, technological solid and have the high risk. This matter need system of decision supporter capable to give the economics analysis needed by taker of decision or decision maker to analyse the prospect of development economics well of oil drilling so that can be made by a decision base of whether the oil well competent developed or not. Intention of this system is to give the amenity for user in taking decision of whether an developed competent oil well or not. Hence from that felt important to be designed and develop by system of decision supporter for the drilling of oilwell pursuant to economic calculation. In this system economics parameter used in the form of Net Present Value ( NPV), Rate Of Return ( ROR), Profit To Investment Ratio ( PEAR), and Pay Out Time ( POT). Methodologies used in develop this system method of Water Fall and this system will be develop to use the software Delphi 7.0. This system will give the output in the form of decision base whether competent oil well drilling project to be developed or not pursuant to its economics calculation. Minyak merupakan salah satu sumber daya alam yang tidak terbaharukan namun merupakan industri yang padat modal, padat teknologi dan mempunyai resiko yang tinggi. Hal ini memerlukan suatu sistem pendukung keputusan yang mampu memberikan analisa ekonomi yang diperlukan oleh pengambil keputusan atau decision maker untuk menganalisa prospek keekonomian pengembangan suatu sumur pemboran minyak sehingga dapat dijadikan dasar keputusan apakah sumur minyak tersebut layak dikembangkan atau tidak. Tujuan dari sistem ini adalah untuk memberikan kemudahan bagi user dalam mengambil keputusan apakah suatu sumur minyak layak dikembangkan atau tidak. Maka dari itu dirasa penting untuk dirancang dan dibangun sistem pendukung keputusan untuk pemboran sumur minyak berdasarkan perhitungan ekonomi. Dalam sistem ini parameter keekonomian yang digunakan berupa Net Present Value (NPV), Rate Of Return (ROR), Profit to Investment Ratio (PIR), dan Pay Out Time (POT). Metodologi yang digunakan dalam membangun sistem ini adalah metode Water Fall (air terjun) dan sistem ini akan dibangun menggunakan perangkat lunak Delphi 7.0. Sistem ini akan memberikan output berupa dasar keputusan apakah suatu proyek pemboran sumur minyak layak untuk dikembangkan atau tidak berdasarkan perhitungan ekonominya.
MODEL APLIKASI E-MARKET SEBAGAI SARANA PROMOSI DAN TUKAR MENUKAR INFORMASI ANTARA PENJUAL DAN PEMBELI Frans Richard Kodong; Wilis Kaswidjanti; Arif Setiyawan
Telematika Vol 8, No 2 (2012): Edisi Januari 2012
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v8i2.446

Abstract

With the Internet can facilitate human life in all areas, not least in the field of buying and selling and promotion, where the internet buying and selling process can be done more easily, for those sellers can easily Promote goods that are sold to consumers that they can easily  find  items needs, but to create a website selling a store still require substantial funds, and therefore required a new method in the business world, the market because the process is done electronically using electronic media and the internet is a method of electronic stores. The methode is to collect various types of shops into a website. In this application there is a facility newsletter that can be commented on by the other accountowners. In this way the expected  communication between sellers and buyers and store owners to one another more closely, so that in terms of social aspects and the business is very profitable because it can add to relationships and friendships. This application will be made using the language of the web-based pemorgraman JSP and servlets, jquery andajax as a transport request to the MySQL  database as the media supported penyimpanadata. The method used in making this  application is GRAPLLE. E-market applications asa container or a place and means of promotion and inforamasi exchange between sellerand buyer, in line with advances in technology to achieve their social and economic needs of human beings, so  that economic  growth particularly medium rise, because the e-marketthrough the application of this variation and reach a wider market, this is due to the use ofinternet technology that knows no time and space.
EKSTRAKSI CIRI MEL FREQUENCY CEPSTRAL COEFFICIENT (MFCC) DAN RERATA COEFFICIENT UNTUK PENGECEKAN BACAAN AL-QUR’AN Heriyanto Heriyanto; Sri Hartati; Agfianto Eko Putra
Telematika Vol 15, No 2 (2018): Edisi Oktober 2018
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v15i2.3123

Abstract

AbstrakBelajar membaca Al-Qur’an menggunakan alat bantu aplikasi sangat diperlukan dalam mempermudah dan memahami bacaan Al-Qur’an. Pengecekan bacaan Al-Qur’an salah satu metode dengan MFCC untuk pengenalan suara cukup baik dalam speech recognition.Metode tersebut telah lama diperkenalkan oleh Davis dan Mermelstein sekitar tahun 1980. MFCC merupakan metode ekstraksi ciri untuk mendapatkan cepstral coefficient dan frame sehingga dapat digunakan untuk pemrosesan pengenalan suara agar lebih baik dalam ketepatan. Tahapan MFCC mulai dari pre-emphasis, frame blocking, windowing, Fast Fourier Transform (FFT), Mel Frequency Wrapping (MFW), Discrete Cosine Transoform (DCT) dan cepstral liftreing. Hasil pengecekan bacaan Al-Qur’an diujikan dalam sebelas surat mulai dari surat Al-Fatihah, Al-Baqarah, Al-Imran, Al-Hadid, Al-Ashr, Ar-rahman, Al-Alaq, Al-Kautsar, Al-Ikhlas, Al-Falaq dan An-Nas menghasilkan akurasi sebesar rata-rata 51,8%. Kata Kunci : Suara, Bacaan,  MFCC, Kesesuaian, Ekstraksi Ciri, Referensi, Bobot, Dominan.
ESTIMASI PARAMETER MODEL FUNGSI ALIH ORDE 4 PADA ROL PENGUMPAN SISTEM TRANSPORTASI WEB MATERIAL BERBASIS FORGETTING FACTOR DENGAN MATLAB 7.04 Yaya Finayani; Muhammad Alhan
Telematika Vol 10, No 1 (2013): Juli 2013
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v10i1.382

Abstract

Web Materials Transport system appears in variety of industrial applications such as paper and plastics industries. The main part of web transport system is unwind roll section. The dynamic model for unwind roll section is derived from the Newton’s laws, the Hooke’s law and conservations of mass principle. This model gives a relationship between web tension output and torque input. Futhermore this relationship is expressed in transfer function form. This transfer function contains a phisical time-varying parameter namely the radius of the unwind roll. Usually before designing control system, a model parameter estimation is needed. This on-line estimation problem is investigated in this paper using RLS (recursive least square) method with forgetting factor. The estimation needs data in the form of discrete and the initial value covariance matrix diagonal (P).  This research uses discrete ZOH method with sampling period T = 0.4 sec; 0.35 sec; 0.3 sec; 0.25 sec; 0.2 sec for convert transfer function from s-domain to z-domain. Parameters estimation with mean square error (MSE) in the range  2x10-5 ≤ MSE ≤ 3x10-5 are obtained using initial value covariance matrix diagonal P in the range 102  ≤ P ≤ 108 using  forgetting factor 0.95.
TEXT CLASSIFICATION USING NAIVE BAYES UPDATEABLE ALGORITHM IN SBMPTN TEST QUESTIONS Ristu Saptono; Meianto Eko Sulistyo; Nur Shobriana Trihabsari
Telematika Vol 13, No 2 (2016): Edisi Juli 2016
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v13i2.1728

Abstract

Document classification is a growing interest in the research of text mining. Classification can be done based on the topics, languages, and so on. This study was conducted to determine how Naive Bayes Updateable performs in classifying the SBMPTN exam questions based on its theme. Increment model of one classification algorithm often used in text classification Naive Bayes classifier has the ability to learn from new data introduces with the system even after the classifier has been produced with the existing data. Naive Bayes Classifier classifies the exam questions based on the theme of the field of study by analyzing keywords that appear on the exam questions. One of feature selection method DF-Thresholding is implemented for improving the classification performance. Evaluation of the classification with Naive Bayes classifier algorithm produces 84,61% accuracy.
JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK APLIKASI PENGENALAN TANDA TANGAN Fani Widiastuti; Wilis Kaswidjanti; Heru Cahya Rustamaji
Telematika Vol 11, No 1 (2014): Edisi Juli 2014
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v11i1.514

Abstract

Back propagation neural network is part of a multilayered feedforward neural network (MFN) which has been developed and reliable enough to solve the problem of approximation and pattern classification. Application of artificial neural network (ANN) in pattern recognition is one of the signature pattern recognition. Signature of each person are generally identical but not the same. This means that often a person's signature changes every time. This change concerns the position, size and pressure factors signature. Signature is the most widely used form of identification of a person. In general, to identify the signature is still done manually, by matching signatures at the time of the transaction with a valid signature. Therefore, we need a system that can analyze the characteristic signature making it easier to identify the person's signature. The research methodology used in the development of the system is a method Rappid Guidelines for Application Engineering (GRAPPLE), which only covers the design stage needs (Requirement Gathering), analysis (Analysis), the design (Design), and development (Development). This signature recognition process through several stages. First image through image processing stages, where the image will be used as the image of the gray / grayscaling. Once the image is converted into binary data by using thresholding. After going through the binary image processing, the data obtained will be the input value to the training process by using the backpropagation method. The results of the training will be used for the process of signature recognition. Image signatures used in this study were 80 image signatures from 10 respondents. The ratio between training data and testing data is 5:3. The test results show that the signature is able to recognize applications built with precision signature 84% of the tested signatures. Errors in the identification of signatures occur for several reasons, namely: the position of the signature, the image file is damaged, and the learning process is not maximized.
APLIKASI TEKNOLOGI GREEN COMPUTING MELALUI OPTIMALISASI KINERJA KOMPUTER Hidayatulah Himawan
Telematika Vol 7, No 1 (2010): Edisi Juli 2010
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v7i1.412

Abstract

Green Computing which is a concept of using technology to become more practical, efficient and cost-efficient in energy use, becomes a concept which is being developed at this time. One method that can be analyzed and developed is the use of a single processor on each computer, but has a performance that could rival the use of multiple processors in order to get better performance. Besides eco-friendly principles also become an integral part of the development of this technology. So optimizing the performance of computers using a single processor of choice in order to optimize the use of technology in today.
MODEL PREDIKSI RENTET WAKTU NEURAL NETWORK BERBASIS PARTICLE SWARM OPTIMIZATION UNTUK PREDIKSI HARGA SAHAM Andri Pramuntadi
Telematika Vol 14, No 2 (2017): Edisi Oktober 2017
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v14i2.2097

Abstract

Penelitian ini dimulai dari sulitnaya para pialang saham untuk memprediksi stok harga saham. Stok merupakan indikator tren pasar, profitabilitas, benchmark benchmark kerja, serta penentuan strategi pasif dan produk derivatif. Informasi penjualan data saham lama sangat membantu dalam prediksi, semakin besar data dari masa lalu semakin besar ketepatan yang didapat. Namun, ukuran data juga mempengaruhi kinerja algoritma yang digunakan. Yang dilakukan dalam penelitian ini bagaimana Neural Network (NN) dengan Particle Swarm Optimization (PSO) yang digunakan untuk melakukan pemilihan fitur dataset saham yang digunakan. Eksperimen yang dilakukan pada percobaan pertama dilakukan dataset pelatihan dengan NN, dan pada percobaan kedua dengan dataset pelatihan akan dibuat PSO-NN untuk pemilihan fitur. Hasil atribut bobot PSO-NN dalam bentuk dataset, atribut dengan bobot tertinggi adalah atribut yang paling berpengaruh dalam latihan. Dataset baru dengan seleksi fitur kemudian melakukan latihan lagi. Dengan menggunakan NN, hasil percobaan yang dilakukan training cycle Neural Network  500, 3 Hidden layer, Momentum 0 dan Learning rate 0,2 mendapatkan 0,466 rmse. Sedangkan hasil percobaan NN dengan seleksi fitur PSO atau PSO-NN 0,373 rmse mendapatkan hasil. Penelitian yang berbasis PSO-NN ini mampu memprediksi secara lebih akurat.

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