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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH MEANS (Media Informasi Analisa dan Sistem) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Media Computer Science Jurnal Komputer Indonesia Jurnal Kewirausahaan dan Inovasi Jurnal Komputer

Juju Jumadi

Unknown Affiliation

Author-ID : 293520

Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

Published : 21 Documents Claim Missing Document

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SISTEM INFORMASI GEOGRAFIS (SIG) MENENTUKAN LOKASI PERTAMBANGAN BATU BARA DI PROVINSI BENGKULU BERBASIS WEBSITE Koko Mukti Wibowo Mukti Wibowo; Indra Kanedi; Juju Jumadi
Jurnal Media Infotama Vol 11 No 1 (2015)
Publisher : UNIVED Press

The information is a matter that can not be separated from the activities of life. Human needs are increasingly complex, encourage people to develop new technologies including WebGIS. So is the need for information on mining, especially in the central area of the province of Bengkulu. The approach used in this research is a structured design approach. Through a structured approach, complex problems can be solved in the organization and results of the system will be easy to maintain, flexible, more satisfying wearer, has good documentation, on time, on budget development costs, improve productivity and quality will be better. With the application WebGIS mining center in the province of Bengkulu, the user is expected to be easier to obtain information about the location of mining in the province of Bengkulu.Keywords: Geographic Information Systems (GIS), WebGIS, Mining Centre in the province of Bengkulu

IMPLEMENTASI MULTIMEDIA DALAM PEMBELAJARAN PENGENALAN HURUF ABJAD UNTUK PENDIDIKAN ANAK USIA DINI (PAUD) Yulianti, Liza; Jumadi, Juju; Zulita, Leni Natalia
Jurnal Media Infotama Vol 9 No 1 (2013)
Publisher : UNIVED Press

This study aims to determine how to design, build and test a multimedia software for media introduction of the alphabet with Macromedia Flash 8.0. The purpose of this study is the media making to introduce the letters of the alphabet in Early Childhood. Working procedure of making the application of introduction letter of the alphabet is determining the material, making the display format, the display and determine the final design is a trial. After doing research through these stages, the obtained results of the study in the form of application. Highlights in this application is the introduction of the letter, guess letters, and charades developed with Macromedia Flash 8.0. Making these applications are expected to be useful for education, especially in early childhood, and can be used as a reference in the form of interactive multimedia learning media.

Implementasi Metode K-Means Clustering Pada Segmentasi Citra Digital Ade Pratama, Efran Fernando; Khairil, Khairil; Jumadi, Juju
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.v18i2.2899

ABSTRACT:Image segmentation is the process of placing a label for each pixel in an image therefore pixels with the same label share certain visual characteristics. One of the algorithms that can be applied in accelerating the segmentation process is K-Means Clustering. K-means is a non-hierarchical clustering method that tries to partition existing data into one or more clusters. This method partitions data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into other clusters. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this research is the waterfall method. The results of the analysis carried out show that the similarity of the identified images based on the proximity of the color values and the accuracy produced is quite good, especially for objects that have special colors or colors that have become characteristics of the object. Keywords: Digital Image, Segmentation, Clustering, K-Means

Sistem Pakar Untuk Mendiagnosa Penyakit Bronkho Pneumonia Menggunakan Metode Certainty Factor Pada Klinik Assifa Bengkulu Cantika, Shintia; Kanedi, Indra; Jumadi, Juju
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4239

Abstract_Broncho pneumonia can occur at any age caused by pneumococcal bacteria. Usually the symptoms of bacterial pneumonia are preceded by a mild respiratory infection a week earlier. Implementation of expert systems in the field of health and medicine in the form of initial diagnosis, treatment of the results of the diagnosis, determination of visible clinical symptoms. As-Shifa Bengkulu Clinic is one of the health clinics in the city of Bengkulu. In its service, this clinic serves all those related to disease from children to adults. One of them is Broncho Pneumonia. The lack of expert doctors in handling every problem in this clinic is one of the problems that occur. So that this can cause patients to wait a long time or not be able to consult directly with a doctor. Of course this takes time and will be in vain if the doctor concerned is not available. Therefore an expert system is designed to diagnose Broncho Pneumonia with the Certainty Factor method. This expert system is designed using the PHP Programming Language and MySQL database. The expert system created can make it easy for users to consult online about Broncho Pneumonia.

Citra Digital Identifikasi Kematangan Buah Sawit Berdasarkan Warna RGB dan HSV Menggunakan Metode Self Organizing Map (SOM) Putra, Rahmat Pidi; Jumadi, Juju; Lianda, Deri
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.v20i1.5354

Palm oil is one of the largest export commodities in Indonesia. Accuracy in determining the level of maturity of oil palm fruit determines the quality of this plant's harvest. This research uses digital image processing to identify the maturity level of oil palm fruit based on RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) colors. Images in the form of photos of oil palm fruit taken with a digital camera were processed with MATLAB software and then analyzed using the Self Organizing Map (SOM) method to obtain a comparison of the RGB and HSV feature extraction results. The results of the research succeeded in distinguishing the level of maturity, namely very ripe, ripe, almost ripe and unripe, the color of the oil palm fruit was red, black orange, yellow and black. The accuracy of the results using the performance evaluation matrix method of the SOM method, namely Quantization Error, Silhouette Score and Topographic Error. Quantization Error RGB (0.004737) is lower than HSV (0.073178) which shows RGB's ability is good in representing data in SOM, Silhouette Score HSV (0.704204) is higher than RGB (0.599846) indicating HSV's ability is slightly better in grouping objects and both have no problems on Topographic Error mapping (0.000000). In the RGB image similarity approach, it is better than HSV.

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

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.

Implementasi Metode Complex Proportional Assessment Untuk Pemilihan Reseller Terbaik Pada CV. Harapan Karya Mandiri Bengkulu Mariani, Olvi; Jumadi, Juju; Akbar, Abdussalam Al
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.v21i2.9237

A reseller is someone who resells products from a supplier to consumers using the reseller's price. The role of resellers cannot be separated from business competition. Resellers are one of the sales methods used by sellers to sell products to customers. For CV. HKM Bengkulu, it is certainly not an easy task to evaluate the performance of resellers achieved by each reseller for the company. Therefore, a computerized decision-making system is needed to assist and simplify the selection of the best reseller. Decision Support System (DSS) research method used in this study is the waterfall method. COPRAS method analysis that will be carried out in this research will describe the stages needed to implement COPRAS in selecting the best reseller at CV. Harapan Karya Mandiri Bengkulu. To perform the calculation process using COPRAS method, the determination of alternatives (An) and criteria, as well as the weights of each criterion, will be conducted. The criteria used are payment type, transaction volume, total spending, quantity of purchases, and subscription duration. The conclusion of this research explains the results of the calculation using COPRAS method, where the reseller with the highest value will occupy the highest ranking followed by the reseller with the lowest value.

Co-Authors Abdussalam Al Akbar Ade Pratama, Efran Fernando alvebi hopaliki Ariant, Ririn Dwi Cantika, Shintia Deaz, Natali Mevian Dewantara, Ramadhan Fajar, Azrid Fitria, Mila Havizah, Nurul Indra Kanedi Jusuf Wahyudi Kartika, Shofi Dwi Khairil Khairil Koko Mukti Wibowo Mukti Wibowo Leni Natalia Zulita Lianda, Deri Liandisa , Rinaufal Liza Yulianti Liza Yulianti Mariani, Olvi Natasyah, Lara Tri Praditya, Rizki Pransiska, Yance Pratama, Ropi Devin Agustian Putra, Rahmat Pidi Putri, Fhariska Dhia S Giovani, Edwin sapri sapri Sartika, Devi Septari, Dellya Soliger, Lipko Trianggono, Muhamad Ibnu Wizura, Kelvin Ade yupianti yupianti Yupianti, Yupianti Yusuf Wahyudi Zulfiandry , Ricky Zulfiandry, Ricky

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