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All Journal Jurnal Media Infotama JURNAL MEDIA INFORMATIKA BUDIDARMA JurTI (JURNAL TEKNOLOGI INFORMASI) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) E-Link: Jurnal Teknik Elektro dan Informatika GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Komputer, Informasi dan Teknologi Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Journal of Innovation Research and Knowledge Jurnal Komputer Indonesia Jurnal Komputer
Liza Yulianti
Universitas Dehasen Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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PENERAPAN METODE PERBANDINGAN EKSPONENSIAL SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA GENERASI MILENIAL ISLAM Pratiwi, Annisa Putri; Yulianti, Liza; Supardi, Reno
E-Link: Jurnal Teknik Elektro dan Informatika Vol 19 No 2: Oktober 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i2.8290

Abstract

Pada sektor pendidikan, komputerisasi sangatlah diminati karena sangat mempermudah dalam berbagai kegiatan yang dilakukan. Pada sebuah kampus program beasiswa sangat membantu mahasiswa-mahasiswi yang berkuliah dikampus tersebut. Sistem Pendukung Keputusan merupakan sistem berbasis komputer yang interaktif yang membantu pengambilan keputusan memanfaatkan model untuk menyelesaikan masalah - masalah yang tak terstruktur dan semi testruktur. Metode Perbandingan Eksponensial adalah metode yang digunakan untuk menentukan urutanprioritas alternatif keputusan dengan kriteria jamak, selain itu metode ini merupakan salah satu metode pengambilan keputusan yang mengkuantifikasikan pendapat seseorang atau lebih dalam skala tertentu pada konsepnya metode ini menggunakan perhitungan secara eksponensial, perbedaan nilai antara kriteria dapat dibedakan tergantung kepada kemampuan orang yang menilai. Penerapan Metode Perbandingan Eksponensial dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Generasi Milenial Islam (GERIMIS) pada kantor Baznas Provinsi Bengkulu akan dibuat menggunakan bahasa pemrograman Visual Basic Net dengan menggunakan database SQL Server sebagai alat dalam penyimpanan hasil pengolahan data yang dapat digunakan oleh staff pada kantor Baznas Provinsi Bengkulu dalam penginputan data calon penerima beasiswa tiap tahunnya berdasarkan kriteria yang telah ditentukan, sehingga nantinya dapat mempermudah dalam penentuan penerima Beasiswa Generasi Milenial Islam (GERIMIS) tahun selanjutnya.
The Utilization Of Weather Radar Data For Weather Early Warning In Bengkulu Province Using K-Means Method Gragrista M, Avelyn; Yulianti , Liza; Kanedi , Indra
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.8

Abstract

The importance of weather information in Indonesia is because weather is a variable that determines climatic conditions, one of which is rainfall. Due to the importance for the public to know about weather developments in Indonesia, BMKG must be precise and accurate in providing weather information by utilizing Weather Radar. This radar applied the K-Means Method.The Weather Early Warning application uses the Python programming language and the Weather Radar Library (WradLib) by utilizing one of the data mining methods, namely K-Means. The grouping results are based on file.vol data obtained from Weather Radar (data attached). From this file.vol will be processed in the Python program and will produce 2 groups, namely Cluster C1 Wide Area and Cluster C2 Medium - dense area.The results of this study indicate that the use of weather radar for weatherearlywarning in Bengkulu Province using the K-Means method produces several iterations. There is a slight difference between Iteration 1 and Iteration II, because the data file.vol from the weather radar contains thousands of data so that in 1 sub-district there can be 2 areas, namely Wide Areas and Medium - Dense Regions, but that does not affect the final result of this study, namely Warning Early Weather.
Perbandingan Metode Sequential Searching Dan Metode Turbo Boyer Dalam Pencarian Data Siswa Di Sekolah Cahyono, Trisna; Yulianti , Liza; Yupianti
Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i2.54

Abstract

SMA Negeri 11 Kota Bengkulu is one of the public high schools in Bengkulu City. Student data processing at SMA Negeri 11 Bengkulu City already uses computerized and integrated applications, but this data processing does not include processing problem student data. Where the management of problematic student data still uses bookkeeping and there is a violation point system that is recorded manually by the Guidance Counseling (BK) Teacher in the book. At the end of each school year, all points will be accumulated, to find out problem students. However, this is an obstacle where it takes time to calculate the violation points and search for student data because you have to look at one by one the book sheets that have been recorded manually. Comparison of the Sequential Searching method and the Turbo Boyer method in searching student data at school based on the processing time that occurs during the search process. In helping the comparison process, a student data search application was built at SMA Negeri 11 Bengkulu City using the Visual Basic .Net programming language and SQL Server Database. The student data search application at SMA Negeri 11 Bengkulu City can assist the school in searching student data to obtain information on student offenses for the last 1 school year. Based on the results of the tests that have been carried out, the functional of the student data search application at SMA Negeri 11 Bengkulu City has run well as expected and is able to provide information on the results of student data searches at school
Co-Authors Abdussalam Al Akbar Aji Sudar sono Aji Sukmo Annisa Dwi Putri Asnawati Asnawati Asnawati Asnawati Ayu Mayang Sari Belyna Novellya Cahyani, Cendi Nur Cahyani, Lindry Dwi Cahyono, Trisna Dani, Ragil Fadilla Rahma Dari, Erika Dwi Ulan Devi Sartika Devi Sartika Dewi Suranti Eko Putra Membara Eko Suryana Eko Suryana Elfianty , Lena Ema Sastri Puspita Epan Susandi Ernawati Ernawati Feri Hari Utami Feri Hari Utami Fezi Fadwa Rendika Fredricka, Jhoanne Fredricka, Jhoanne Gragrista M, Avelyn Hari Aspriyono Hastuti, Silvia Wahyu Herlina Latipa Sari Ila Yati Beti Indra Kanedi Irfan Wendiyansa Irvan Ciantury Jaswan, Mali Jepri Haji Utama Juju Jumadi Juju Jumadi Kanedi , Indra Kanedi, Indra Kanedi Kemas Muhammad Fadli Lena Elfianty Lianda, Deri Liza Yulianti M. Iqbal Syahputra Ninti Putriani Prahasti Prahasti , Prahasti Prara Sindia Citra Tessa Pratiwi, Annisa Putri Reno Supardi Rita Nilawati Rizka Tri Alinse Robi Saputra Rodi Rodi Sapri Sapri Saputra, Robi Sari, Tengsi Mayang Nopita Sartika , Devi Setiaji, Ganang Supardi, Reno Tengsi Mayang Nopita Sari Tessa, Prara Sindia Citra Toibah Umi Kalsum Vobey Alex Sander Yanolanda Suzantri H Yuisar Yuisar Yupianti Yupianti Yupianti Yupianti, Yupianti Zuhri, M. Khoiruddin