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All Journal Jurnal Media Infotama Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) SITEKIN: Jurnal Sains, Teknologi dan Industri Seminar Nasional Teknologi Informasi Komunikasi dan Industri JurTI (JURNAL TEKNOLOGI INFORMASI) JUTIM (Jurnal Teknik Informatika Musirawas) Journal of Technopreneurship and Information System (JTIS) Journal of Applied Engineering and Technological Science (JAETS) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Djtechno: Jurnal Teknologi Informasi Jurnal Multidisiplin Dehasen (MUDE) Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Indonesian Science Education Journal (ISEJ) Jurnal Komputer, Informasi dan Teknologi
Kanedi, Indra Kanedi
Universitas Dehasen Bengkulu
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ANALISIS QOS (QUALITY OF SERVICES) JARINGAN INTERNET BERBASIS WIRELESS TELKOM INDIHOME PADA KANTOR WALIKOTA BENGKULU Fiqri Saputra Utama; Siswanto Siswanto; Indra Kanedi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5320

Abstract

This research aims to: determine the quality of service of the WLAN network at the Bengkulu Mayor's Office. QoS (Quality of Service) is the ability to provide the performance of a computer network in providing services to applications on the computer network so as to determine the level of satisfaction of users who use the network.This research is quantitative research which refers to research methods according to Polit D.F and Hungler B.P. The research was carried out by monitoring the WLAN network on access points designated as samples in each department in the Bengkulu Mayor's Office using WireShark software. The data collection techniques used were observation, interviews, literature study and monitoring. From the results of the research carried out, it can be concluded that the quality of WLAN network service at the Bengkulu Mayor's Office is included in the Adequate category according to TIPHON.
Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Rumah Sakit Menggunakan Metode Analytical Hierarchy Process (AHP) Rachmad Mustaqim; Siswanto Siswanto; Indra Kanedi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5341

Abstract

The performance appraisal system currently running at Ummi Bengkulu Hospital still experiences weaknesses, including the employee appraisal process is still carried out manually and the data processing process does not use application programs in making decisions but still uses Microsoft Excel in data processing so it takes a long time. long enough. Therefore, a decision support system was designed for assessing employee performance at Ummi Bengkulu Hospital using the Analytical Hierarchy Process (AHP) method. This decision support system is designed using the PHP programming language and MySQL database. The system created can make it easy for Ummi Bengkulu Hospital to assess employee performance at Ummi Bengkulu Hospital quickly and accurately
Penyusunan Seleksi Penerimaan Pegawai Kontrak Pada PDAM Kota Bengkulu Angga Gustian Pratama; Indra Kanedi; Achmad Fikri Sallaby
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5534

Abstract

Computer-based information systems are experiencing significant changes in almost all fields. This is due to the role of computer technology which provides many conveniences and benefits in all fields. Excellence in the field of technology, especially computers, can be an added value for companies that want to win competition in the business world which is so tight, such as using it in assessing someone's personality. The system designed in this research is a new system, the process is that the data obtained from interviews and observations from the preparation of contract employee recruitment selection at PDAM Bengkulu City are entered into the designed system, then input data so that the system will be processed using scoring system method by using application uses a website with PHP MySQL database. From the results of research about identifying interests in PDAM companies based on MBTI personality, several things can be concluded as follows: The research web application is able to help admins recognize and understand applicants' personality interests by providing recommendations for positions that are suitable and in accordance with their MBTI personality type. The research web application is able to have a positive influence on the effectiveness and efficiency of the position major that suits the applicant.
Penerapan Metode Promethee Dalam Rekomendasi Pemilihan Karyawan Berprestasi Dimas Aulia Trianggana; Indra Kanedi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5851

Abstract

In every company there is an employee performance assessment system that is used to find out who can be used as role models as outstanding employees. The assessment aspects are divided into 4 categories, namely Discipline, Work Attitude, Potential and Ability, and Work Results. In this decision support system the Promethe method has been applied, so that the final assessment results for each employee have gone through the Promethe method calculation procedure. The final assessment results of the Promethee Method will be sorted from the highest value to the lowest value with two conditions where if the Net Flow value is all 0 then it will be sorted based on the leaving flow and entering flow values, but if the Net Flow value is not all 0, then it will be sorted based on Net Flow value obtained from each employee
Decision Support System For Hiring Honorary Teachers At State Junior High School 12 Kota Bengkulu Using The Simple Multi Attribute Rating Technique Method Silvy Dwi Nurhalifah; Yupianti Yupianti; Indra Kanedi
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.v20i2.6246

Abstract

Honorary teachers are auxiliary teachers who are given teaching time according to the number of teaching hours with a salary in accordance with the hours of lessons they teach and have been arranged by several schools for the smooth teaching process. The acceptance of honorary teachers carried out at junior high school 12 Kota Bengkulu is still done onventionally without paying attention to quality and competence in the selection process, resulting in human error, open opportunities for nepotism activities. For this reason, a decision support system is needed that can help solve these problems. The method implemented in this system is SMART (Simple Multi Attribute Rating Technique). The simplicity of the SMART method in analyzing responses, responding to the wishes of decision makers, and the simplicity of calculations in decision making. This SMART method aims to facilitate the decision making of honorary teacher acceptance at SMP Negeri 12 Bengkulu City so as not to use the manual system anymore. From the results of the tests that have been carried out, it can be concluded that the honorary teacher acceptance system with the SMART method can provide a good and more objective assessment.
Penerapan Metode Holt-Winter Exponential Smoothing Dalam Prediksi Jumlah Siswa-Siswi Baru Di Sma Negeri 09 Bengkulu Selatan Wiwin Irianto Saputra; Indra Kanedi; Dimas Aulia Trianggana
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.v20i2.6375

Abstract

Admission of new students is a routine activity carried out every academic year at the school. High School 09 South Bengkulu is one of the high schools in South Bengkulu Regency which accepts new students every academic year. The number of new students is based on the gender of the new students (boys and girls) and age group (14-15 years, 16-17 years, and 18-19 years). The application of the Holt-Winter Exponential Smoothing Method in predicting the number of new students at South Bengkulu High School 09 can make it easier to obtain information on predictions of the number of students in the school in the upcoming new academic year, where the prediction of the number of new students is based on gender. New students (boys and girls) and age groups (14-15 years, 16-17 years, and 18-19 years). Based on data obtained from South Bengkulu High School 09, the predicted results for the number of students were obtained. female students for the 2024/2025 academic year, namely 65 male students in the 14-15 year age group, 42 female students in the 14-15 year age group, 42 female students, 16-17 year old male students as many as 31 students, female gender in the 16-17 year age group as many as 0 students, male gender in the 18-19 year age group as many as 3 students, and female gender in the 18-19 year age group as many as 0 Students.
Penerapan Metode Regresi Linear Berganda Dalam Prediksi Produksi Barang Pada PT. Depot Kayu Saudara Erjisun Erjisun; Siswanto Siswanto; Indra Kanedi
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.v20i2.6422

Abstract

PT. Brother Wood Depot is a furniture company that produces furniture and other items. Along with changes in goods production at PT. Brother Wood Depot from year to year, so it is necessary to estimate in the future whether production of goods will decrease or increase. Sometimes when we assume that the amount of production in the following month will decrease and reduce the amount of production, it turns out that demand in the following month actually increases. Application of the Multiple Linear Regression Method in predicting goods production at PT. The Brother Wood Depot is used to help provide an estimate of the amount of goods production that should be based on prediction results using the Multiple Linear Regression Method from aspects of supply and demand for goods. In determining the predicted results for the amount of goods produced in the following month and year, there are 3 supporting variables used which are used as time series data (past data), namely inventory, demand and production of goods in the previous month and year. Based on testing of the goods production prediction application at PT. It was found that the functionality of the application runs as expected, and is able to display predicted results of goods production for the next month and year using the Multiple Linear Regression Method
Penerapan Metode K-Means Clustering Dalam Pengelompokan Data Pasien Rawat Inap Peserta BPJS Di Rumah Sakit Umum Daerah Kabupaten Kaur Faizal Shepyantoni; Indra Kanedi; Eko Suryana
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.v20i2.6458

Abstract

The Kaur Regency Regional General Hospital is one of the health institutions where the majority of patients are members of the Social Security Administering Agency for Health. The problem with data management is that it is still done manually, where the data is captured and written in books, so that the goal is to make it difficult for hospital management to make decisions related to optimal service for patients, as well as the lack of information obtained by the hospital regarding information on the diseases most frequently suffered by hospitalized patients. inpatients, especially patients participating in the Social Security Administration. Applying the K-Means Clustering Method in grouping data on inpatients participating in the Social Security Administering Agency at the Kaur Regency Regional General Hospital can find out information on the results of grouping data on inpatients participating in the Social Security Administering Agency which is divided into 2 groups, namely few and many based on age, gender and class level of the Social Security Administering Body, and can also help evaluate data on the most and least inpatients at the Kaur Regency Regional General Hospital based on grouping results by looking at age, gender and class level of the Social Security Administering Body and the patient's illness. . Based on the results of testing on 30 data on inpatients participating in the Social Security Administration, grouping results were obtained, namely Cluster I with 20 patients and Cluster II with 10 patients. Where Cluster I (a lot of treatment) is dominated by women in the age group 40 – 59 years and the Social Security Administering Body class level III with Type 2 DM. Meanwhile, Cluster II (a little treatment) is dominated by men who are in the age group 20 – 39 years and Social Security Administering Agency level III class with dyspepsia syndrome and gero
Implementasi Machine Learning Untuk Prediksi Penjualan Oli Shell Pada CV. Harapan Karya Mandiri Bengkulu Dellya Septari; Indra Kanedi; Juju Jumadi
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.v20i2.6513

Abstract

Prediction is an activity of guessing or estimating something that will happen in the future by utilizing historical data through a scientific method. CV. Harapan Karya Mandiri in predicting oil sales is still in a conventional way. The weaknesses of conventional systems are in addition to human error in doing calculations and writing and can also be lost when doing recapitulation. For this reason, a machine learning technique is needed that is able to predict sales. One of the algorithms included in Machine Learning is K-Nearest Neighbor. The system implementation uses the PHP programming language with the MySql database and the method used in this research is the Waterfall method. The waterfall method is able to analyze the needs used to find out from the weaknesses of the old system, then make a design of the design and continue with the design of the new system. The conclusion from the results of this study explains that the sales prediction process with the K-Nearest Neighbor method first goes through a training process. The prediction results are also strongly influenced by the amount of data being trained and the value of "k" in this method.
Penerapan Metode K-Means Clustering Dalam Mengetahui Minat Siswa Terhadap Mata Pelajaran Matematika Di SMP Negeri 19 Kota Bengkulu Murni Tiana; Siswanto Siswanto; Indra Kanedi
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.v20i2.6567

Abstract

Junior High School 19 Bengkulu City is one of the public junior high schools in Bengkulu City. In this school there is a Mathematics subject that is taught to students. Students' ability to understand the subject varies, so that sometimes it is difficult for teachers when the learning process is taking place. Interest in learning tends to produce high achievement, on the other hand, lack of interest in learning will result in low achievement and there are differences in interest in each subject. The implementation of K-Means Clustering Method in knowing students’ interest in mathematics subjects at Junior High School 19 Bengkulu City can make it easier for teachers to find out students’ interest and can be used as material for teacher evaluation in teaching and learning process in order to create high interest in subjects, especially mathematics. Based on the sample data used in class VIII.E on mathematics subject with 10 students in the odd semester of the 2023/2024 school year. The results of grouping students who fall into cluster C1 (very interested) are 4 students, while students who fall into cluster C2 (less interested) are 6 students. If it is percented, the Cluster C1 result is 60%.
Co-Authors Abdussalam Al Akbar Achmat Fikri Sallaby Achras Zapota Alrahim Adiman Adiman Agung Aprianto Agung Aushaaf Marshaa Hermanto Ahmad Fikri Sallaby Aji Sudarsono Aji Sukmo Amelia Purnama Sari Andri Maryensyah Angga Gustian Pratama Anis Maulita Arif Rangga Wijaya Aris Budyanto Arius Satoni Kurniawansyah Asnawati Asnawati Bela Oktavia Bella Oktavia Candra Gunawan Deki Hari nusti Dellya Septari Depi Andiyani Desi Mahdalena Devi Sartika Devina Ninosari Dewi Suranti Diki Robianto Dimas Aldi Romadoni Dimas Aulia Trianggana Dimas Rizky Wardana Doni Irawansa Edy Hermansyah Efrianti Marsinta Eko Febrianto Eko Prasetiyo Rohmawan Eko Suryana Endah Puspaningrum Erjisun Erjisun Erlita Erlita Faizal Shepyantoni Fakhri Ardiansyah Feri Hari Utami Feri Hari Utami Fery Firdiansyah Chaniago Fina Nurmita Fiqri Saputra Utama Fredricka, Jhoanne Gebi Andre Anto Haggy Sandy Prayogy Hari Aspriyono Hasna Nabila Hendra Hendra Hendri Alamsyah Herita Apriati Herlina Latipa Sari I Wayan Wiranata Ila Yati Beti Jeni Vegas Tamah Jodi Laksana Putra Juju Jumadi Jusep Ferlyzon Kevin Juli Aditya Khairil Khairil Kms.Muhammad Apriyansah Lena Elfianty Leni Natalia Zulita Lianda, Deri Liza Yulianti Maryaningsih Maryaningsih Melanisma Yunita Meyza Hani Putri Mirna Mirna Mirnawati Mirnawati Muhamad Akbar Muhammad Baluqiah Al Ghazali Muhammad Faisal Akba Muhammad Wahyu Rizky Murni Tiana Nandra Romelyan Nara Puspita Nofi Qurniati Novisyah Novisyah Ockhy Jey Fhiter.W Pepi Pebrianti Prahasti Puteri Puji Insani Rachmad Mustaqim Rayos Adyatma Reno Supardi Revaldi Mirza Pratama Ricky Zulfiandry Ridho Mangkondo Ridho Rahman Kurnianto Riska Eka Aprianty Rizka Tri Alinse Rozi Eka Putri Rupawan Azzahra Saira Asmar Sallaby, Achmad Fikri Sapri Sapri Setiaji Ayu Handayani Shella Arsinta Fitri Shinta Wili Rahayu Shintia Cantika Silvy Dwi Nurhalifah Siswanto Siswanto Siswanto Siswanto Sriyanto Sriyanto Titi Gustina Toibah Umi Kalsum Venny Novita Sari Vivi Yesinthia Wenty Ratna Juwita Wijaya Anugerah Kusuma Wiwin Irianto Saputra Yilistriyani Yilistriyani Yilistriyani Yode Arliando Yoli Andi Rozzi Yolla Krismonika Yupianti, Yupianti