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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
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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

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Decision Support System For Hiring Honorary Teachers At State Junior High School 12 Kota Bengkulu Using The Simple Multi Attribute Rating Technique Method Nurhalifah, Silvy Dwi; Yupianti, Yupianti; Kanedi, Indra
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.
Eksplorasi Keindahan alam dan budaya Melalui Study Tour ke Pura Tanah Lot, Bali Tamah, Jeni Vegas; Wahid, Abdul; Penta, Rafid Ula; Dewantara, Dewantara; Kanedi, Indra
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.5897

Abstract

Study tour is one of the effective ways to directly learn about the natural beauty and culture of a region. This journal documents our experiences during a study tour to Tanah Lot, Bali. We explored the natural wonders, got to know the local culture, and felt the warmth of the local community. By combining direct experiences and deep reflections, we were able to enrich our understanding of the cultural richness and natural beauty of Bali.
Penerapan Metode Holt-Winter Exponential Smoothing Dalam Prediksi Jumlah Siswa-Siswi Baru Di Sma Negeri 09 Bengkulu Selatan Saputra, Wiwin Irianto; Kanedi, Indra; Trianggana, Dimas Aulia
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.
Implementation Of The Assossian Rule Mining (ARM) Method In The Sales Pattern Of Goods To Consumers In Stores Agung Bengkulu Herrianto, David; Khairil, Khairil; Kanedi, Indra
Jurnal Komputer Indonesia Vol. 3 No. 2 (2024): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i2.632

Abstract

Management of product sales data at Toko Agung Bengkulu is still done manually. There is no system that helps predict sales patterns for products that are in high demand and the problem that is often faced is the scarcity of supply of products that are in demand at Toko Agung. To make decisions in determining the amount of product inventory that can be adjusted to market demand, Toko Agung does not yet use a system and is still calculating manually. Therefore, this research was carried out with the aim of implementing the Association Rule Mining (ARM) method in grouping sales data at the Agung Store. So you can easily determine and classify high product sales. The system implementation uses the PHP programming language and MySQL database and the method used in this research is the waterfall method. After carrying out the Association Rule Mining (ARM) process at Toko Agung with data testing, the results obtained were the highest level of product sales at Toko Agung Bengkulu. This can be used as a reference by Toko Agung for product inventory for the following month.
Penerapan Metode Regresi Linear Berganda Dalam Prediksi Produksi Barang Pada PT. Depot Kayu Saudara Erjisun, Erjisun; Siswanto, Siswanto; Kanedi, Indra
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 Shepyantoni, Faizal; Kanedi, Indra; Suryana, Eko
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 Septari, Dellya; Kanedi, Indra; Jumadi, Juju
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 Tiana, Murni; Siswanto, Siswanto; Kanedi, Indra
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%.
Sistem Pakar Untuk Mendiagnosa Penyakit Angular Cheilitis Menggunakan Metode Case Based Reasoning (CBR) Putri, Rozi Eka; Kanedi, Indra; Yupianti, Yupianti
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.v20i2.6572

Abstract

This research aims to create an expert system application to diagnose Angular Ceilitis using the Case Based Reasoning (CBR) method to get solutions and information easily and quickly about the disease. This research method uses the waterfall method which begins with the requirements, design, implementation, verification and maintenance stages. This expert system was created using the PHP programming language and MySQL database. The Case Based Reasoing method can be used as a solution in using an expert system to diagnose angular ceilitis. In its application, the Case Based Reasoing method can provide a percentage of angular ceilitis. So that users can use this expert system as an application that can provide assistance in the initial diagnosis of angular ceilitis.
Sistem Pendukung Keputusan Pemberian Kredit Mobil Pada PT. Sinar Mitra Sepadan Finance Menggunakan Metode Naïve Baiyes Hendra, Hendra; Kanedi, Indra; Beti, Ilayati
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.v20i2.6896

Abstract

Abstract-The creditworthiness assessment carried out by the company is currently still conventional, namely still in paper form, so that Credit Analyst takes a long time to process data and analyze the large amount of incoming credit applicant data, so it does not rule out the possibility of miscalculations, errors in reading data, and others. In addition, the biggest obstacle is the difficulty in finding or storing archives that have been stored. As well as problems in making reports that are late sometimes also hamper the delivery of information to company leaders. For this reason, a technique that is capable of classification is needed. One of the algorithms included in the classification is Naïve Bayes. The system implementation uses Visual Basic.Net programming language and the method used in this research is waterfall method. The waterfall method is able to analyze the needs used to find out from weaknesses of the old system, then make a design and continue with the design of the new system. The conclusion from the results of this study explains that the process of classifying consumer eligibility with the Naïve Bayes method first goes through the training process. Prediction results are also strongly influenced by the amount of data that is trained and the probability value in this method.
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