Abstract Keyword Searching with Knuth Morris Pratt Algorithm

Ependi, Usman; Oktaviani, Nia

doi:10.15294/sji.v4i2.9797

Cited by 10 publications

(9 citation statements)

References 3 publications

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“…String matching has three kinds of direction to match a pattern string to a text, namely from left to right, from right to left, and from right to left to the second character from the first character to the second character from the last character [12]. String matching consists of various algorithms, specifically the Naive String Matching algorithm, Boyes-Moore algorithm, Rabin Karp Algorithm, and Knuth-Morris-Pratt algorithm (KMP) [13].…”

Section: String Matching and Knuth-morris-pratt Algorithmmentioning

confidence: 99%

Translation Learning Tool for Local Language to Bahasa Indonesia using Knuth-Morris-Pratt Algorithm

Warnars¹,

Aurellia²,

Saputra³

2021

TEM Journal

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During the COVID-19 pandemic time, it is a requirement to deliver online learning since students can not have face-to-face meetings and they depend on gadgets such as a computer, mobile phone, iPad, and laptop to continue their study. One of the subjects is local language learning as this subject is a requirement in some provinces in Indonesia as a gesture concerning local wisdom. However, there is a lack of support for learning the local language since the local languages have a mouth to mouth learning knowledge without any dictionary support. This paper proposed the idea of using the Knuth-Morris-Pratt algorithm to translate the Palembang language to Bahasa Indonesia to help students to learn the Palembang language with the application.

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Section: String Matching and Knuth-morris-pratt Algorithmmentioning

confidence: 99%

Translation Learning Tool for Local Language to Bahasa Indonesia using Knuth-Morris-Pratt Algorithm

Warnars¹,

Aurellia²,

Saputra³

2021

TEM Journal

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“…Dalam melakukan pengujian usability menggunakan teknik heuristic evaluation maka metode yang digunakan adalah metode deskriptif. Penggunaan metode ini karena metode deskriptif dapat menjelaskan sebuah keadaan atau kejadian [17]. Begitu juga pengujian usability dengan teknik heuristic evaluation merupakan keadaan atau kejadian yang melihat perspektif ahli terhadap sebuah aplikasi.…”

Section: Metode Penelitianunclassified

Pengujian Usability Heuristic Terhadap Perangkat Lunak Pembelajaran Matematika

Komalasari

Ulfa

2020

matrik

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Heuristic evaluation adalah metode dan teknik pengujian aplikasi yang ada dalam usability. Pengujian heuristic sendiri dalam proses pelaksanaannya dilakukan dengan melibatkan ahli. Dalam melakukan pengujian heuristic terdapat sepuluh pernyataan yang menjadi instrumen pengujian. Sepuluh instrumen tersebut dijawab oleh dengan lima kriteria penilaian yaitu 0 yang berarti tidak adalah masalah usability, 1 yang berarti memiliki cosmetic problem, 2 yang berarti aplikasi memiliki minor usability problem, 3 yang berarti memiliki major usability problem dan 4 yang berarti aplikasi memiliki usability catastrophe. Di dalam penelitian ini dilakukan pengujian terhadap aplikasi pembelajaran matematika sekolah dasar. Mengingat pentingnya aplikasi ketika digunakan oleh siswa maka penguji yang terlihat terdiri dari ahli teknologi informasi sebanyak tida orang ahli dan ahli mata pelajaran matematika sekolah dasar (guru) sebanyak dua orang. Dari hasil pengujian menunjukkan bahwa aplikasi secara umum tidak ada masalah usability atau mendapatkan nilai dengan pembulatan 0. Namun terdapat dua bagian yang perlu dicermati bagi pengembang yaitu pernyatan nomor tujuh dan pernyataan nomor sembilan yaitu flexibility and efficiency of use dan help users recognize, diagnose, and recover from errors yang mendapatkan penilaian 1. Dari hasil pengujian maka dikatakan bahwa pengembang aplikasi dapat melakukan publikasi aplikasi karena tidak ada masalah yang signifikan dalam hal usability pada aplikasi. Heuristic evaluation is a method and application testing technique that exists in usability. Heuristic testing itself in the implementation process is done by involving experts. In conducting heuristic testing there are ten statements that become testing instruments. The ten instruments were answered by five assessment criteria, 0 which means no is a usability problem, 1 which means having a cosmetic problem, 2 which means the application has a minor usability problem, 3 which means having a major usability problem and 4 which means the application has a usability catastrophe. In this study, testing of elementary school mathematics learning applications was carried out. Considering the importance of the application when used by students, the examiners that appear to consist of as many information technology experts are as many experts and two elementary school mathematics teachers (teachers). From the test results show that the application in general there is no usability problem or get a value with rounding 0. However, there are two parts that need to be observed for developers, namely statement number seven and statement number nine, namely flexibility and efficiency of use and help users recognize, diagnose, and recover from errors that get a rating 1. From the test results it is said that the application developer can publish the application because there is no significant problem in terms of usability in the application

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“…Metode ini memiliki lima tahapan utama seperti yang diperlihatkan pada Gambar 1. Pengerjaan yang dilakukan seperti pada Gambar 1 yaitu komunikasi, perencanaan, pemodelan, kontruksi, dan penggambungan [6]. Gambar 1.…”

Section: Metode Pengembanganunclassified

Integrasi Smart Attendance Bagi Dosen Sebagai Upaya Peningkatan Kinerja

Effendy

Bakti

2019

klik

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Attendance is a routine that is usually for someone who works well as an employee in the formal sector. Attendance is also an assessment of performance in tertiary institutions such as that conducted at Bina Darma University. Bina Darma University in evaluating the performance of lecturers’ assessment components consisting of tri dharma and non tri dharma scores. Tri Dharma assessment includes teaching, research, service, and support. While non-tri dharma includes attendance (daily and briefing), rank, English language skills, Indonesian language skills, and the use of elearning. the problem that often arises when evaluating performance is in the field of discipline (presence). Some of the problems are: (1) lecturers often forget to make a presence in time and return, (2) the number of requests for repairs presence, (3) Summary of monthly presence disturbed. Based on these problems in this research conduct the development of smart attendance using the waterfall method. The waterfall method has five stages: communication, planning, medeling, construction and deployment. The results of the development is a smart attendance that can display information in an integrated manner starting from the presence machine, academic information systems and reporting.Keywords: Attendance, Lecturers’ Performance, Smart Attendance Kehadiran merupakan sebuah rutinitas yang biasanya dilakukan bagi seseorang yang bekerja baik sebagai karyawan ataupu pegawai dalam sektor formal. Kehadiran juga menjadi penilaian kinerja di perguruan tinggi seperti yang dilakukan pada Universitas Bina Darma. Universitas Bina Darma dalam melakukan penilaian kinerja dosen komponen penilaian yang terdiri dari nilai tri dharma dan non tri dharma. Penilaian tri dharma meliputi pengajaran, penelitian, pengabdian, dan penunjang. Sedangkan non tri dharma meliputi kehadiran (harian dan brifing), kepangkatan, kemampuan bahasa inggris, kemampuan Bahasa Indonesia, dan penggunaan elearning. permsalahan yang sering muncul ketika melakukan penilaian kinerja yaitu pada bidang kedisiplinan (presensi). Beberapa masalah yaitu: (1) dosen sering kali lupa melakukan presensi waktu masuk dan pulang, (2) banyaknya permohonan perbaikan presensi, (3) perekapan presensi bulanan yang terganggu. Berdasarkan permasalahan tersebut didalam penelitian ini dilakukan pengembangan integrasi presensi dalam bentuk smart attendance menggunakan metode waterfall. Metode waterfall memiliki lima tahapan yaitu communication, planning, medeling, construction dan deployment. Hasil pengmbangan yang dilakukan berupa smart attendance yang dapat menampilkan informasi secara intergrasi mulai dari mesin presensi, sistem informasi akademik dan pelaporan.Kata kunci: Kehadiran, Kinerja Dosen, Smart Attendance

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Abstract Keyword Searching with Knuth Morris Pratt Algorithm

Cited by 10 publications

References 3 publications

Translation Learning Tool for Local Language to Bahasa Indonesia using Knuth-Morris-Pratt Algorithm

Translation Learning Tool for Local Language to Bahasa Indonesia using Knuth-Morris-Pratt Algorithm

Pengujian Usability Heuristic Terhadap Perangkat Lunak Pembelajaran Matematika

Integrasi Smart Attendance Bagi Dosen Sebagai Upaya Peningkatan Kinerja

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