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Journal : Jurnal Informatika Upgris

APLIKASI PENGARSIPAN DOKUMEN MENGGUNAKAN METODE STRING MATCHING (Studi Kasus Perpustakaan SMP Negeri 5 Seluma) muntahanah muntahanah muntahanah; yulia darnita yulia darnita yulia darnita
Jurnal Informatika Upgris Vol 5, No 1: Juni (2019)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v5i1.2895

Abstract

Perpustakaan adalah untuk mendukung, memperlancar serta mempertinggi kualitas pelaksanaan program kegiatan Sekolah-sekolah untuk memperoleh informasi atau pengetahuan  melalui pelayanan informasi yang meliputi lima aspek yaitu pengumpulan informasi, pelestarian informasi, pengolahan informasi, pemanfaatan informasi dan penyebarluasan informasi. Dalam proses pencarian String Matching sangat cocok untuk menggunakan algoritma Knuth-Morris-Pratt yang merupakan algoritma untuk melakukan pencarian sebuah string yang terdiri dari beberapa karakter (biasa disebut pattern), Algoritma Knuth-Morris-Pratt atau biasa disingkat algoritma KMP melakukan perbandingan karakter teks dan karakter pattern pada pola dari kiri ke kanan. Ide dari algoritma ini adalah bagaimana memanfaatkan karakter-karakter pattern yang sudah diketahui ada di dalam teks sampai terjadinya ketidak cocokkan untuk melakukan pergeseran. Berdasarkan hasil pengujian sistem yang dilakukan dapat diambil kesimpulan : Memberikan informasi distribusi data buku pada SMP Negeri 5 Seluma Kota Bengkulu dengan metode string matching, sehingga petugas perpustakaan tidak perlu mencatat ulang data buku kedalam buku induk yang baru apabila ada buku yang hilang dan rusak, serta memudahkan siswa dan siswi untuk mencari buku yang akan dibaca atatu dipinjam, Memberikan kemudahan bagi SMP Negeri 5 Seluma, dalam mengakses informasi data buku berdasarkan mata pelajaran, serta mempermudah siswa dan siswi dalam mencari informasi buku di perpustakaan SMP Negeri 5 Seluma. 
PENERAPAN ALGORITMA NAIVE BAYES PADA APLIKASI PENELUSURAN ALUMNI (TRACER STUDY) BAGI TAMATAN SMKN 2 KOTA BENGKULU susanto, teguh; Muntahanah, Muntahanah
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.13051

Abstract

Alumni are a very valuable asset for an educational institution. The success of educational institutions will be greatly influenced by the success of alumni in the process of getting a job or continuing their education. The more alumni who succeed in their work, the better the rating of the educational institution because many companies employ them or who successfully continue their education to the next level. Vocational High School is considered able to answer the problems of employment and unemployment. Vocational education is part of the education system that prepares a person to be better able to work in one occupational group or field of work than in other occupations. SMKs also assist with re-industrialization through three main groups: training young people for work, training current workers, and returning to the workforce. One of the successes of educational institutions can be determined by how successful graduates are when they are in the community. The ratio of graduates who have worked to those who have not worked, the average waiting period for work, the field of work occupied, the amount of income received when they first worked, and others. One method to obtain appropriate data is to use a tracer study, which is an academic activity to obtain feedback from graduates about the relevance of the educational process that has been undertaken with the ability to improve the quality of life of graduates in the community. Tracer study is a tool to obtain data needed for the development of an educational institution. The process of obtaining tracer study data can use a computer connected to the internet so that the process becomes easier because it can be accessed anytime and anywhere. The data obtained from the study tracer is processed according to the need for the data, one method that can be used is Naïve Bayes. Naïve Bayes algorithm is one of the methods used based on probabilistic reasoning.
Co-Authors -, Rozali Toyib Abdillah, Muhammad Harits Abdullah, Dedy Abdurrasyid, Fakhri Adinda, Fitri Adriansyah, M. Ari Afriandi, Rahmad Ahmad Novianto Akbar, Anggi Sunata Nur Albar, Ahmad Rere Alexander, Jefri Amandika, Rama Andilala Andre Kurniawan Andrian Kuor Nando Andry Sartika Annisa Sonita Apriansyah, Nugraha Apridiansyah, Yovi Ardi wijaya Ariestanto, Dian Arif Triyandi, Muhammad Beni Juanda Dandi Sunardi Dani, Aliman Darnita , Yulia Darnita, Yulia David Maria Veronika, Nuri Diana Diana Diana Diana Diatama, Pradika Egia Apriansyah Evandra, Geri Melano Febitri, Nora Febriani, Lovi Febrina, Nanda Fitri Lestari Fitriah Fitriah Gilang Nurva Wijaya Gilang Pamungkas, Habib Guntur Alam Hadi , Alam Kurnia Harry Witriyono Harry Witriyono Witriyono Hendri, Sastya Herianto, Agib Kristian hidayah, agung kharisma Husni Rifqo, Muhammad Imanullah, Muhammad Indri Dwi Lestari Irvan Dwi Pangestu Irwandi Irwandi Islan Wardiman Isnadia, Yusi Jandri M.Siban Jaya Saputera, Juwanda Jefri Alexander Joka Jasri Juanda, Beni Juhardi, Ujang Keken Pinandita Khairullah, Khairullah Khairunisa, Dinda Khairunnisyah Khairunnisyah Khairunnisyah, Khairunnisyah Kharisma , Agung Kristian Herianto, Agib Kristika Meza Werda Kusnadi, Afrinando Kusnadi Lidia Lidia Lilian Guntari M. Imanullah, M. Imanullah marhalim, marhalim Miko Ansyori Nabila, Pipit Nanda Yugo Pangestu Nita, Taura Novrialdi, Tito Nur'aini, Shandra Nuri David Maria Veronika Nuri David MV Nuri David Veronika Nurlestari, Oktarani Okta, Leo Oktarani Nurlestari Onsardi, Onsardi Pagestu, Yolan Pahrizal, Pahrizal Pangestu, Irvan Dwi Pradika Diatama Putra, Fherdi Hunata Putra, Iqbal Pratama Putra, Yebri Putri, Deliana Rahmadhini, Fira Ricardo, Ryo Rifqo, Muhammad Husni Rohanan Yusuf Rojali Toyib Rozali Toyib Rozali Toyib Rozali Toyib Safari, Chessar Sahputra , Eka Sahputra, Eka Salsabila, Aprilia Sandi, Zainove Saparudin Saroni Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Wibowo Sastya Wibowo Seprianti, Widia sholekhah, Ananda Shopiana, Sella Siregar, Fadel Muhammad Sonita , Anisya Sonita, Anisya Sri Ekowati Sri Handayani Sri Handayani Supriyadi, Anisyah Oktariani Syahfitri, Jayanti Tanjung, Rahman Fadli Teguh Susanto Titi Darmi Tito Novrialdi Toyib, Rojali Toyib, Rozali Triyandi, Muhammad Arif Ulit, Icuk Gempa Veronika, Nuri David Maria Vironika, Nuri Wahyu Nugroho Wibianto, Alvian Febri Wibowo, Sastia Widodo, Aditya Deko Wijaya, Ardi Wilio Papian Witriyono , Harry Witriyono, Harry Yanto, Febi Febri Yebri Putra Yulia Darmi Yulia Darnita Yulia Darnita Yulia Darnita yulia darnita yulia darnita yulia darnita Yulia Rahmi Yuza Reswan Zantohar, Moh Rere Velentino