Article Per Year (5 Year)
p-Index From 2021 - 2026
9.325
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama Jurnal Pseudocode SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Computer System and Informatics (JoSYC) Djtechno: Jurnal Teknologi Informasi Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Dehasen Mengabdi Jurnal Komputer Indonesia Jurnal Kewirausahaan dan Inovasi
Indra Kanedi
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 80 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 80 Documents
Search

 4   5   6   7   8 
Penerapan Snort Sebagai Sistem Keamanan Jaringan Ferlyzon, Jusep; Kanedi, Indra; Supardi, Reno
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.v21i1.7502

Abstract

SMA Negeri 5 South Bengkulu is one of the State Senior High Schools in South Bengkulu Regency, Bengkulu Province. The school already has internet access and a computer network in the Lab that can be accessed by teachers, students, and staff within the school. However, access to the network does not yet have a security system that can prevent several threats from attacking the network. The purpose of this research is to implement snort on computer networks at SMA Negeri 5 South Bengkulu. Securing the computer network at SMA Negeri 5 South Bengkulu to avoid unwanted things by implementing Snort in it which will detect if there is a threat of attacks. Snort will be tasked with detecting attacks that occur if a client attacks the server in the form of pinging of death or DDos attacks. Based on the test results that have been carried out, the application of snort can help schools in knowing security system information on computer networks at school, as well as securing computer networks at school.
Penerapan Metode Regresi Linear Dalam Prediksi Hasil Penangkapan Ikan Pada Dinas Kelautan Dan Perikanan Provinsi Bengkulu Anto, Gebi Andre; Kanedi, Indra; Alinse, Rizka Tri
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.v21i1.7541

Abstract

Abstract— The Department of Marine and Fisheries of Bengkulu Province is one of the government agencies in Bengkulu Province. At the Department, every year data collection is carried out per semester of capture fisheries production that occurs in each regency / city in Bengkulu Province. The purpose of the research is to determine the predicted value of capture fisheries production in the coming year. The implementation of the linear regression method in predicting fishing yields at The Department of Marine and Fisheries of Bengkulu Province can help provide an estimated prediction of the amount of capture fisheries production in the following year based on the results of processing previous time series data through the Linear Regression Method. In addition, it can be used as an evaluation material for the Department of Marine and Fisheries of Bengkulu Province in making strategic plans (renstra), especially capture fisheries production. Based on the test data used, the results show that the prediction of the amount of fishing (marine fisheries) in the Regency / City of Bengkulu Province in 2024 is South Bengkulu Regency, 2726.3 Central Bengkulu Regency, 1663.62 North Bengkulu Regency, 7709.04 Kaur Regency, 8140.2 Bengkulu City, 44457.32 Muko-muko Regency, 19691.99 and Seluma Regency, 2633.8. It can be seen that the highest number of fishing products is Bengkulu City and the least is Central Bengkulu Regency from the results of prediction analysis using the linear regression method. Keywords: Linear Regression Method, Prediction, Fishing Result.
Pengembangan Media Pembelajaran Interaktif Jaringan Komputer Berbantuan Action Script 3.0 Adobe Animated CC Di SMKN 3 Kota Bengkulu Prahasti, Prahasti; Sriyanto, Sriyanto; Kanedi, Indra
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.v21i1.7954

Abstract

Media pembelajaran interaktif adalah media belajar yang menggunakan teknologi digital untuk menyampaikan informasi dan mendorong interaksi aktif antara siswa dan materi pelajaran. Tujuan dari penelitian ini adalah melakukan pengembangan media pembelajaran interaktif jaringan komputer untuk membantu kegiatan pembelajaran di SMKN 3 Kota Bengkulu. Penelitian ini menggunakan model pengambangan Luther-Sutopo dengan tahapan pembuatan konsep, perancangan, pengumpulan bahan, pembuatan, pengujian dan distribusi dengan menggunakan pemrograman action script 3.0. pada aplikasi Adobe Animated CC. Hasil penelitian yaitu diperoleh media pembelajaran interaktif materi jaringan komputer yang dapat digunakan oleh guru kejuruan TKJ SMKN 3 Kota Bengkulu dalam melaksanakan kegiatan belajar. Menu-menu pada pengembangan media pembelajaran interaktif terdiri dari Menu Utama, Menu, Materi dan Menu Evalusi. Pengembangan media pembelajaran dengan menggunakan pemrograman action script 3.0 pada aplikasi Adobe Animate CC yang telah dibuat mampu memberikan manfaat kepada guru dan peserta didik di SMKN 3 Kota Bengkulu dalam meningkatkan pengetahuan dan keterampilan kejuruan melalui materi jaringan dasar komputer.
Klasterisasi Data Karyawan Berdasarkan Penilaian Kinerja Menggunakan Metode K-Medoid Putra, Jodi Laksana; Kanedi, Indra; Akbar, Abdussalam Al
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.v21i1.8178

Abstract

Clustering Employee Data Based on Performance Appraisals Using the K-Medoid Method at the Regional Government Office of Central Bengkulu Regency can help employees to group employee performance data and can be used as a consideration to determine the results of employee performance evaluations each year. Grouping employee data based on the results of performance appraisals that have been carried out, namely the value of employee work targets (SKP) and work behavior values. The results of clustering on employee performance appraisal data, obtained 2 groups or clusters, namely high clusters (Cluster I) and low clusters (Cluster II). Clustering employee data based on performance appraisals using the k-medoid method at the Regional Government Office of Central Bengkulu Regency is made using the Visual Basic .Net programming language. Based on the tests that have been carried out, the functional of the application has run well and the application can help the Central Bengkulu Regency Regional Government Office in knowing employee performance based on 2 groups, namely high clusters and low clusters
Implementation of Two Tier Architecture in the Design and Development of Bumdes Administrative Data at the Kelindang Village Office, Bengkulu Tengah Apriliani, Mentari; Kanedi, Indra; Prasetyo R, Eko
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3344

Abstract

The Kelindang Bengkulu Tengah Village Office is one of the villages located in Merigi Kelindang District, Central Bengkulu Regency. So far, the data management process for Village-Owned Enterprises (BUMDes) has used office application packages, namely Microsoft Word and Microsoft Excel. However, not all administrative data processing processes use office application packages, one of which is the 3kg LPG base distribution administration. The Bumdes administration data application at the Kelindang Bengkulu Tengah Village Office is used to make it easier for the village office to process BUMDES administration data, especially regarding the supply and distribution of 3kg LPG Gas to residents within the scope of the Village of Kelindang Bengkulu Tengah. In the data processing process, a network-based two-tier architecture with a WLAN connection has been implemented, to simplify and speed up data input, because many laptops connected to the WLAN can access it. The devices used are 3 units of laptops, namely 1 laptop for the server and 2 laptops for the client. The Bumdes administrative data application at the Kelindang Village Office in Bengkulu Tengah was made using the Visual Basic .Net programming language and SQL Server 2008r2 Database. Based on the tests that have been carried out, the functionality of the Bumdes administrative data application at the Kelindang Village Office in Central Bengkulu is running well and as expected
Application of the Naive Bayes Method in the Classification of Employee Status at PT. Prosperous New Light Rahmat S, Khaerullah; Kanedi, Indra; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3395

Abstract

Sinar Baru Makmur In determining the extension of an employee's contract, it is taken from the results of an employee's performance appraisal, if the performance results are good or very good, a contract extension will be carried out. However, in determining the results of employee contract extensions there are still some subjective judgments, and family relationships that create gaps with other employees in determining the final outcome of the assessment. To avoid subjectivity in evaluating employee performance, this study created an application for evaluating employees by classifying them using the Naive Bayes method. Employee status classification application at PT. Sinar Baru Makmur is created using the Visual Basic .Net programming language. The application can help manage employee performance appraisal evaluation data and can also help provide recommendations for the eligibility of employee status whether to be extended or not renewed based on the classification results of the Naive Bayes Method.
Decision Support System, SAW Method, Best Journalist Selection, Harian Rakyat Bengkulu, Multi-Criteria Decision Making Andriansyah, Andriansyah; Kanedi, Indra; Prahasti, Prahasti
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8843

Abstract

The development of information technology has a significant impact on the world of journalism, including in efforts to improve the professionalism of journalists. PT. Rakyat Semarak Bengkulu Permai (Rakyat Bengkulu) as a press company continues to innovate, one of which is through periodic assessment of the best journalists. However, the assessment process that has been running so far still faces the obstacle of subjectivity and has not been supported by an objective and measurable system. This study aims to develop a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help the journalist assessment process more efficiently and objectively. This system is built using the PHP programming language and MySQL database, and is specifically designed so that it can only be accessed by the Editor-in-Chief. The test results show that the system is able to improve efficiency, objectivity, and accuracy in the process of assessing the best journalists in the company environment
E-commerce Sparepart Mobil (Studi Kasus Toko Sahabat Motor) Gunawan, Candra; Kanedi, Indra; Zulfiandry, Ricky
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.v21i2.8353

Abstract

Abstract—E-commerce-based sales information system at Toko Sahabat Motor, to overcome the problems of the conventional sales system used before. This system is designed to provide convenience in managing product data, transactions, and store information in integrated manner, as well as making it easier for customers to obtain information and online purchase car spare parts. The research uses the waterfall method, with steps such as requirements analysis, design, implementation, and system testing using the black-box testing method. The results showed that the information system built can improve store operational efficiency, provide faster and more accurate services, and support digital marketing strategies. The system is also designed with key features such as product data management, user registration, order processing, and payment options via COD and bank transfer, which are relevant to meet the needs of customers in the target area. Keywords :E-Commerce, Information System, Online Sales
Decision Support System in Determining the Best Employees of the Bengkulu Provincial Social Service Using the SAW Method Rahmadanti, Angely; Sapri, Sapri; Kanedi, Indra
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.v21i2.9164

Abstract

In an effort to improve the performance and professionalism of employees, the Social Service of Bengkulu Province annually conducts an evaluation or assessment to determine the best employees as a form of appreciation for the performance of these employees. However, in its implementation, this process experiences obstacles in terms of objectivity and efficiency in conducting assessments, because it still uses a manual process. Therefore, to overcome these problems, this research develops a Decision Support System (SPK) using Simple Additive Weighting (SAW) method to increase objectivity and efficiency in assessing the best employees. This system is developed using PHP programming language and using MySQL database. Based on the results of data testing as many as 5 alternative employees, the results obtained one employee with the highest score on behalf of Zulkifli with a value of 0.931 and declared the best employee
Implementasi Metode Saw Pada Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Rizky, Muhammad Wahyu; Kanedi, Indra; Beti, Ila Yati; Kurniawansyah, Arius Satoni
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.v21i2.9165

Abstract

In determining the recipients of direct cash assistance for village funds (BLT-DD), Karya Pelita Village still uses a manual method with village meetings. In its application, village meetings are considered less efficient and prone to conflicts of interest. This needs to be overcome with a system that can help the decision-making process quickly, accurately and fairly. The decision support system for direct cash assistance recipients of village funds uses the Simple Additive Weighting (SAW) method. The process involves determining criteria, giving weights, and normalizing data to produce a preference value that is the basis for decisions. This system is designed with PHP programming language and MySQL database. This research produces a system that is able to increase efficiency and accuracy in determining recipients of direct cash assistance for village funds, and reduce conflicts of interest. Based on the results of data testing as many as 14 alternative recipient candidates, the final results showed that 10 alternatives had the highest score and were eligible to receive assistance, and 4 other residents were declared ineligible for BLT-DD assistance.
Co-Authors Abdul Wahid Aditya, Kevin Juli Adyatma, Rayos Aji Sudarsono Akba, Muhammad Faisal Akbar, Abdussalam Al Alinse, Rizka Tri Alon Santoso Andriansyah Andriansyah Anto, Gebi Andre Aprianto . Apriati, Herita Apriliani, Mentari Ardana, Febi Asnawati Asnawati Asnawati Asnawati Ayu Wulandari Azzahra, Rupawan Beti, Ila Yati Beti, Ilayati Budyanto, Aris CANDRA GUNAWAN Cantika, Shintia Dadang Kurniawan Dewantara, Dewantara Dhanu Ario Putra, Dhanu Ario Dimas Aulia Trianggana Edy Hermansyah Efendi, Irpan Eko Putra Membara Eko Suryana Erjisun, Erjisun Fadilla, Rohayu FEBRIANTO, EKO Feri Hari Utami Feri Hari Utami, Feri Hari Ferlyzon, Jusep Fhiter.W, Ockhy Jey Fredricka, Jhoanne Hardiansyah, Vebi Heni Pujiastuti Hermanto, Agung Aushaaf Marshaa Hermiati, Reza Herrianto, David Indriani, Inda Mareta Irawansa, Doni Jayawarsa, A.A. Ketut Juju Jumadi Junita, Empi Desni Linia Jusuf Wahyudi Juwita, Wenty Ratna Khairil Khairil Koko Mukti Wibowo Mukti Wibowo Krismonika, Yolla Kurniawan, Muhammad Andhika Kurniawansyah, Arius Satoni Laili, Afifatul Latifah, Diana Lena Elfianty Leni Natalia Zulita Lianda, Deri Liza Yulianti Magdalena Sundari Mardian, Harjo Marsinta, Efrianti Maryensyah, Andri Maulita, Anis Mega Fatimah Rosana Mesterjon Mesterjon Muhamad Akbar Mustaqim, Rachmad Nabila, Hasna Nopriansyah, Agung Novrianto, Nanda Nurhalifah, Silvy Dwi Nusti, Deki Hari Oktavia, Bella Penta, Rafid Ula Prahasti, Prahasti Prasetyo R, Eko Pratama, Angga Gustian Prayogy, Haggy Sandy Priyambodho, Dimas Dwi Cahyo Puspita, Lidya Puspita, Nara Putra, Jodi Laksana Putri, Rozi Eka Qurniati, Nofi Rahma Wayan Lestari Rahmadanti, Angely Rahmat S, Khaerullah Rena Ariyanti Ricky Zulfiandry Rizky, Muhammad Wahyu Rohmawan, Eko Prasetiyo Rona, Ria Yestiva S Siswanto Saira Asmar Sallaby, Achmad Fikri sapri sapri Saputra, Wiwin Irianto Sari, Intan Mayang Sari, Venny Novita Sartika, Devi Septari, Dellya Shepyantoni, Faizal Sianturi, Erwin Halomoan Sri . Handayani Sriyanto Sriyanto Suci, Tiara Pramuni Supardi, Reno Suranti, Dewi Tamah, Jeni Vegas Tiana, Murni Utama, Fiqri Saputra Venny Novita Sari Wardana, Dimas Rizky Wijaya, Arif Rangga Wiranata, I Wayan Wirayuda, Sahrul Yilistriyani, Yilistriyani yono, Hari Aspri Yunita, Melanisma Yupianti, Yupianti Zulfiandry, Ricky