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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi Jurnal Mahasiswa Farmasi Fakultas Kedokteran dan Ilmu Kesehatan UNTAN REKAYASA JURNAL PENDIDIKAN TAMBUSAI JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam JSR : Jaringan Sistem Informasi Robotik MEANS (Media Informasi Analisa dan Sistem) Journal of Research in Social Science and Humanities Journal Computer Science and Informatic Systems : J-Cosys Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science Digital Transformation Technology (Digitech) YASIN: Jurnal Pendidikan dan Sosial Budaya ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Komputer Indonesia Jurnal Pengabdian Sosial Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Jurnal Gotong Royong Jurnal Inovasi Kerja Nyata (JIKN) Jurnal Sistem Informasi (JASISFO)
Sartika, Devi
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Journal : Jurnal Media Infotama

 1 
Pengembangan Sistem Pembelajaran Pada Laboratorium Komputer Berbasis Local Area Network Di Smk Negeri 4 Kabupaten Kaur Supardi, Reno; Sartika, Devi
Jurnal Media Infotama Vol 16 No 2 (2020)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v16i2.1145

Abstract

The development of information technology has a great influence on human life today. Many of the activities carried out involve technological advances themselves. Likewise, computer network technology continues to move forward along with technological developments. Computer networks are currently an important thing in a company or educational institution, with a computer network the communication activities carried out become easier, more effective, save time and there are many other benefits that can be obtained with a computer network, so that all activities carried out through a computer network that always runs smoothly without interruption, the network must always be monitored or supervised.
IMPLEMENTASI ALGORITMA BYTE PAIR ENCODING UNTUK KOMPRESI FILE Ruslida, Ahmad Meidy; Sapri, Sapri; Sartika, Devi
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2716

Abstract

ABSTRACT Data compression is a field that focuses on forming a small output file from a large file. The need for compression has given birth to several methods that can be implemented in communication activities on the network as well as on storage activities. The byte pair encoding algorithm is a compression algorithm that takes advantage of the emergence of repeated or frequent character byte pairs. The repeating character byte pairs are in the data and are substituted with a wildcard byte where the wildcard byte is not in the character byte series of the file. One of the well-known compression methods is the byte pair encoding compression method. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this research is an applied research method. Keywords: Compression, Byte Pair Encoding, Document.
Klasifikasi Data Karyawan Outsourcing Berdasarkan Penempatan Menggunakan Metode Naive Bayes Pada PT. Solusi Gemilang Persada Mukmin, Fauzan Latief; Yupianti, Yupianti; Sartika, Devi
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6575

Abstract

PT Solusi Gemilang Persada is one of the companies providing outsourced employee services in Bengkulu City. In this company, every 3 months a performance evaluation will be carried out on outsourced employees based on placement to determine whether the outsourced employee will have his contract extended or not. Classification of outsourced employee data based on placement using the Naive Bayes Method at PT. Solusi Gemilang Persada, can help facilitate the company in managing outsourced employee data and assessing the performance of outsourced employees and can help the company in providing recommendations for each outsourced employee whether the contract is extended or not extended based on the classification results. From the amount of test data used as much as 10 outsourced employee test data, the classification results show that the classification of the extended contract class is 8 (eight) outsourced employees, and the classification of the non-extended contract class is 2 (two) outsourced employees. Based on system tests that have been carried out, it can be concluded that the functional classification application of outsourced employee data based on placement using the naive bayes method at PT. Solusi Gemilang Persada has run well and is able to provide classification results for each outsourced employee performance assessment.
Penerapan Data Mining Dalam Pengelompokan Data Nilai Siswa SMA Negeri 7 Kota Bengkulu Menggunakan Metode K-Means Clustering Antoni, Achmad Rudi; Sartika, Devi; Trianggana, Dimas Aulia
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8101

Abstract

SMA Negeri 7 Kota Bengkulu is one of the State Senior High SchoolsState Senior High School located in Bengkulu City which has a commitment to in developing student potential. So far, data processing of student grades for each subjects have used e-report cards and the report card data can be exported to a Microsoft Excel file. exported into a Microsoft Excel file. However, the student grade data is data is often only stored as an archive without any further analysis to find out to find out information about patterns or trends in student achievement. At where this can help the school in providing guidance and optimizing the academic potential of each student at SMA Negeri 7. optimize the academic potential of each student at SMA Negeri 7 Bengkulu City based on the level of student achievement. Bengkulu City based on student achievement levels. Application of data mining in grouping data grades of SMA Negeri 7 Bengkulu City students using the K-Means Clustering Method is built desktop-based with the Visual Basic .Net programming language. Visual Basic .Net programming language, The application of data mining in grouping data in clustering student grades of SMA Negeri 7 Bengkulu City is carried out per student subject with subject value attributes and attendance percentage. The application of data mining in clustering student grade data of SMA Negeri 7 Bengkulu City can help in knowing the level of achievement of students of SMA Negeri 7 Bengkulu City. Bengkulu City can help in knowing the level of student achievement in each subject and can be used as an evaluation material to improve the level of student achievement in each subject. subjects and can be used as evaluation material to improve the achievement of students who are at low achievement levels. who are at a low level of achievement.
Implementasi Algoritma Rivest Shamir Adleman Untuk Keamanan Pesan Teks Prayogy, Haggy Sandy; Kanedi, Indra; Sartika, Devi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9234

Abstract

Security is a set of procedures, steps, and policies to prevent and monitor unauthorized access, problem solving, disclosure, and disruption of computer data communication. Data or message security can be achieved using cryptography. Cryptography is an important component for communication and information transmission through security services. Cryptography is both an art and a science that produces secret messages. One cryptographic method that can be utilized is RSA method. RSA is an asymmetric cryptographic method that operates in block mode and requires two different keys for the encryption and decryption processes. The advantage of this algorithm is that its difficulty lies in factoring non-prime numbers into their prime factors. The results of the tests conducted show that RSA algorithm can provide additional security for files by using different keys during the encryption and decryption processes. This is because the text data owned by the user will be encrypted and replaced with a series of numbers that do not represent the content of the original data.
Penerapan Metode Wieghted SUM Model (WSM) Dalam Pengajuan Cuti Pegawai Rumah Sakit Bhayangkara Bengkulu Anggraini, Lidya; Suranti, Dewi; Sartika, Devi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9338

Abstract

Bhayangkara Hospital Bengkulu is one of the privately owned public hospitals and is one of the type C hospitals in the Bengkulu region. Bhayangkara Hospital provides services in the field of leave applications to employees who want to apply for leave. So far, the employee leave application system is still manual and through a process that is not fast enough, where employees must seek approval from the hospital director and then submit the leave application form provided, therefore this leave application still cannot provide an opportunity for employees to apply for leave online. The decision support system (SPK) for leave applications using the Weighted Sum Model (WSM) method can be accessed online with internet access via the web link: https: //cutipegawairsbhayangkarabkl.online/. This decision support system application was created using the PHP programming language and MySQL database. The application has embedded the Weighted Sum Model (WSM) method which is used to apply for annual leave based on the criteria taken by employees. This application can assist in making decisions in applying for leave, employees can access the application starting from entering the Username and password to getting the results of the leave application whether the leave is accepted or not. Based on system testing that has been carried out, it can be concluded that the functional of the application has run well and this decision support system can provide results for leave applications based on the values and weights taken from employee criteria through the stages of the Weighted Sum Model (WSM) method.
Perbandingan Metode Simple Additive Weighting Dan Metode Composite Performance Index Dalam Sistem Pendukung Keputusan Kelayakan Bantuan Pupuk Subsidi Untuk Kelompok Tani Hidayat, Rahmat; Yupianti, Yupianti; Sartika, Devi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9371

Abstract

Decision Support System (SPK) is a system used to assist decision making in an organization or company. The development of a decision support system with the Simple Additive Weighting (SAW) method and the Composite Performance Index (CPI) method to determine the beneficiaries in determining the distribution of fertilizer assistance to farmer groups, and can minimize the inaccuracy in distributing the fertilizer assistance by applying the Simple Additive Weighting method and the Composite Performance Index method. This system is expected to help the government to determine the right recipient of fertilizer assistance, and be able to provide accurate and consistent recommendations, and increase transparency in the selection process. With this system, it is expected that the process of providing subsidized fertilizer assistance can run more fairly, efficiently, and on target.
Co-Authors Agusta, Farhan Ardhya Alfarisy, Ahmad Arib Andika, Ryndry Andini, Putri Mutiara Angga Dwi Supardi Putra, Edo ANGGARA, YOGI Anggraini, Lidya Ani, Selvi Antoni, Achmad Rudi Aprianto, Adjie Danang Aprianto, Sandi Arista, Helsi Arsy Tiara, Annisa Aryanih, Eka Dadang Kurniawan Darmansyah, Rafik Dimas Aulia Trianggana Dwi Putri, Annisa Elfaladonna, Febie Fadilah, Ahmad Arif Febriansyah, Angga Trio Firdaus, Muhammad Bintang Fitter, Ockhy Jey Fredricka, Jhoanne Garniadi, M. Aris Gitarya, Leci Hadi Nata, Difran Hermana, M.Arafat Humaerah, Humaerah Indra Kanedi Juju Jumadi Julistina, Melly Jusuf Wahyudi Khairil Khairil Kurniawan, Dwiki Kusen Lena Elfianty Leni Novianti Lestari, Linda Lianda, Deri Liza Yulianti Lutfia S, Siti Lutfiyah, Vivi Magdalena, Ina Maryaningsih, Maryaningsih Maryati Maryati Meilsandre, Muhamad Lio Meiriska, Ienda Mesterjon, Mesterjon Muhammad Soleh Mukmin, Fauzan Latief Murniyanto Muthoharoh, Marfuatin Nabilah Nabilah Nengsih, Herlina Surya Ningsih, Marya Ninosari, Devina Nita Novita Nurfadhillah, Septy Nurjamilah, Putri Octarina, Ayu Oktaria, Nenni P, Andre Mariza Prayogy, Haggy Sandy Putra, Adi Pramono Putra, Andre M Putra, Andre Mariza Putra, Anton Pradana Putra, Redo Osi Putri, Disa Cahaya Rahmat Hidayat Ramadanti, Saskia Ramadhan, Savina Nurrahmadanti Ramadhanty, Salwa Randita, Fenti Rika Sadariawati Riska Riska Robmawa, Eko Prasetyo Ruslida, Ahmad Meidy Sahib, Abdul sapri sapri Sarah Sarah, Sarah Sari, Dian Mardiati Septianih, Nabilah Septianto, Muhamad Diecky Silviani, Yessi Siregar, Dewi Immawati Siregar, Epriliani Rahmita Sumarto Sunardin, Sunardin Sunaryo Sunaryo Supardi, Reno Suranti, Dewi Susanti, Ressi Syirgaini, Joya Syurgaini, Joya Trianggara, Dimas Aulia Unaenah, Een Viarsyah, Muhammad Iqbal Yupianti, Yupianti Yuswar, M. Akib Zahesya, Favien Riza