29 research outputs found
Sistem Pendeteksi Plagiat Dokumen Teks Menggunakan Algoritma Smith-Waterman serta Algoritma Arifin dan Setiono
No full textABSTRAKSI: Plagiarisme merupakan masalah serius dalam bidang pendidikan karena sebagian besar pelaku tindakan plagiat di Indonesia berasal dari orang-orang terpelajar seperti pelajar dan mahasiswa. Pencegahan terhadap plagiarisme dokumen teks bisa dilakukan dengan membuat sebuah sistem pendeteksi plagiat. Sistem akan lebih efektif dan efisien karena berjalan diatas perangkat komputer, bukan secara manual, sehingga dapat memeriksa beberapa dokumen sekaligus. Algoritma Smith-Waterman (SW) adalah metode klasik dengan membandingkan 2 string untuk mengidentifikasi kemiripan di keduanya. Algoritma ini awalnya berkembang di bidang bioinformatika dan saat ini mulai diterapkan di pemrograman komputer sehingga bisa dijadikan pilihan untuk membangun sebuah sistem pendeteksi plagiat. Penulis akan membangun sebuah sistem pendeteksi plagiat menggunakan algoritma Smith-Waterman disertai algoritma stemming Arifin dan Setiono. Algoritma Arifin dan Setiono menggunakan kamus dalam pencarian kata dasar bahasa Indonesia dan memiliki fitur kombinasi balikan untuk mengatasi overstemming.Kata Kunci : Plagiarism, String-matching, Smith-Waterman, Preprocessing, Stemming, Arifin dan Setiono.ABSTRACT: Plagiarism is a serious problem in education because most of the perpetrators of acts of plagiarism in Indonesia come from educated people such as school and university students. Prevention of plagiarism of text documents can be done by creating a plagiarism detection system. The system will be more effective and efficient because it runs on the computer instead of manually, so it can examine several documents at once. Smith-Waterman algorithm is a classical method to compare two strings to identify the similarities in both. This algorithm was originally developed in the field of bioinformatics and are now starting to be implemented in computer programming that can be selected to build a plagiarism detection system. The author will build a plagiarism detection system using the Smith-Waterman algorithm with Arifin and Setiono stemming algorithm. Arifin and Setiono algorithm use a dictionary in search of root words in Indonesian and features a combination of feedback to overcome overstemming.Keyword: Plagiarism, String-matching, Smith-Waterman, Preprocessing, Stemming, Arifin dan Setiono
VOICE IN ACADEMIC WRITING: THE TRANSPOSITIONING OF AUTHOR IDENTITY IN RESPONDING TO MANUSCRIPT BLIND REVIEWERS
No full textVoice as one of vital elements in academic writing can impinge upon the quality of one’s writing. Despite robust controversies over the usefulness of this metaphorical notion, a plethora of studies on voice has contributed to our understanding of its role in determining writing quality. The foci of these studies, however, are constricted on either voice as individual or voice as social, ignoring the perspective of voice as dialogic. This case study investigates the written reviews of a manuscript author by four blind reviewers in different international Scopus-indexed journals. Drawing on the ideas of “voice as dialogic” and of “transpositioning” of identity, this study seeks to identify and to examine the authorial strategies of an author in constructing his own voice in textual realizations as responses to the manuscript blind reviewers. In doing so, it attempts to finds out the author’s writing identity as manifested in the texts constructed. Relativism’s methodology was employed in order to provide the construction of certain phenomena (i.e. dialogical voice) as accurately as possible. Results revealed that the manuscript author employed two key authorial strategies: averring established authority and foregrounding the ecologies of knowledges.
Experimental Study of Beam-Column Joints Reinforced Concrete with Fiber Concrete and Fly-Ash
No full textReinforced concrete elements in the beam - column joint (HBK) plays a very important role for maintaining the structure when subjected to the lateral load, despite the presence of many bars in the area often results in imperfections implementation. The use of fly-ash and fiber in the area of HBK can be one of available solutions; both can increase the strength of concrete and reduce the reinforcement. This study discusses the usage of fly-ash in concrete with proportion of 25% by weight of cement and dramix steel fibers and 10 kg for one m3 of concrete. This study uses the specimens of HBK with a variation of the concrete at age of 28 and 90 days. The analysis of 28 days HBK results: specimen with normal and with fly ash have average load of 10.53 kN and 6.97 kN where specimen with Fly-ash + additive has 12.65 kN (20.13% higher than normal specimen). At the age of 90 days, HBK with normal concrete, fly ash and fiber concrete can withstand load at 12.73 kN, 10.87 kN, and 13.15 kN respectively, where HBK with fiber + fly-ash reaches at 13.38 kN or has 5.00% more than HBK with normal concrete
Analysis of Rainfall-runoff Neuron Input Model with Artificial Neural Network for Simulation for Availability of Discharge at Bah Bolon Watershed
No full textAbstractIndonesia is a tropical country with two seasons (wet and dry) which play the main role in water cycle process. Occurrence of rain continues into the flow of the discharge in the river with a huge energy potential that can be exploited for the life of the surrounding community. The occurrence and intensity of rain is random and difficult to predict in a certain period of time so that discharge is also difficult to be estimated although it is measured in the field in time of rainfall occurrence. The amount of runoff produced by the same depth of precipitation in a watershed will result a different magnitude with another watershed because it is influenced by land use in the watershed. This paper discusses the modeling of rainfall-runoff in the Watershed of Bolon in Simalungun district of North Sumatra Province using Artificial Neural Network (ANN) to determine the potential of the available discharge in the long term for the purpose of Micro Hydro Power (MHP). The software/program is developed with Scilab mathematical open source software (www.scilab.org) based on ANN algorithm. The data are record of monthly rainfall and discharge for 12 years (2001 to 2012). The models developed are 12 monthly neurons, 4 year neurons and series neuron (48 neurons) for input (rainfall) - output (runoff) neurons. The result shows that reliability the 12 monthly neurons is 99% (the best) followed by series neuron with 78% and 4 year neuron 77%. The chosen model (12 monthly neurons) then to be used for predicting the monthly discharge availability at Bah Bolon Site. Dependable discharges predicted with this software for year 2013 to 2016 consecutively are as follows: 0.678246 m3/s, 0.655288 m3/s, 0.678475 m3/s and 0.678135 m3/s
Ars Erotica: Sex and Somaesthetics in the Classical Arts of Love: Exploring Shusterman’s Writing Identity in the Discourse on the Art of Lovemaking and Body Aesthetics
No full textStanding in marked contrast with Foucauldian notion of “the care for the self” which seeks bodily pleasure by advocating violent practices of consensual homosexual sadomasochism and drugs, Shusterman’s Ars Erotica takes up the notion further by unveiling the idea of somaesthetics that alternatively favors such tranquil, less violent somatic practices as a pursuit of bodily pleasure and cultivation. Rich in its cross-cultural perspectives of how artistic body practices (including the art of love making) are cultivated, Ars Erotica combines important ideas from different philosophical traditions with literary works emanating from varied cultural, religious, and linguistic legacies. The mixture of both philosophy and literature in the book helps reconcile the long-standing disputes regarding the divide between the two scholarships, thus making Shusterman’s writing worthy of investigating. Drawing on these notions of aspects of identity – “self as author” and “discoursal self” (Ivanic, 1998), this article is an attempt to explore these aspects of identity. Thematic coding was used as a technique of data analysis. Findings revealed that aspects of identity can be categorized and suggested as follows: (1) taking control by evaluating while averring to reliable sources, (2) interfering credible sources by infusing personal positioning (3) translanguaging to create aesthetic textual postures
