Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

3.341

P-Index

This Author published in this journals

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 Komputer

Juju Jumadi

Unknown Affiliation

Author-ID : 293520

Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 19 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

PENGOLAHAN CITRA DIGITAL UNTUK IDENTIFIKASI OBJEK MENGGUNAKAN METODE HIERARCHICAL AGGLOMERATIVE CLUSTERING Jumadi, Juju; Yupianti, Yupianti; Sartika, Devi
JST (Jurnal Sains dan Teknologi) Vol 10, No 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Identifikasi objek (object recognition) merupakan suatu bidang keillmuan dari komputer vision yang menggambarkan suatu objek yang didasarkan pada sifat utama dari objek tersebut. Identifikasi objek pada citra digital membutuhkan teknik dan metode yang mampu untuk mengekstraksi dan mengidentifikasi fitur-fitur yang terdapat pada citra digital, dimana komponen utamanya adalah warna sebagai dasar dari representasi objek pada citra digital. salah satu metode yang mampu menerapkan pengelompokan warna â€“ warna objek pada citra digital sehingga dapat menjadi fitur utama dari objek pada citra digital adalah Hierarchical Agglomerative Clustering. Analisa dilakukan secara bertahap yaitu analisis sistem dan analisis algoritma agglomerative clustering. Proses analisa kemudian dilanjutkan dengan tahap perancangan yang mana dimulai dengan perancangan use case diagram dan perancangan flowchart. Akurasi dari algoritma Hierarchical Agglomerative Clustering cukup baik khususnya pada objek yang memiliki warna khusus atau warna yang telah menjadi ciri dari objek tersebut namun dapat menghasilkan pengenalan yang buruk jika objek yang berbeda memiliki warna dominan yang sama

AUGMANTED REALITY PENGENALAN HEWAN PURBAKALA ANIMASI 3 DIMENSI DENGAN PATTERN RECOGNITION BERBASIS ANDROID alvebi hopaliki; yupianti yupianti; juju jumadi
GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Vol 1, No 1 (2020)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/gatotkaca.v1i1.79

Augmented Reality (AR) is a variation of the virtual environment or more often calledasAR technology users that can see the real world, with virtual objects added to the real world. So, users see virtual objects and real objects are in the sum place. Augmented reality requires streaming video with a camera that is used as a sowce of image input, then tracking and detecting markers. After the W is detected 30 model will appear of an item. This 3D model was mated mite software for 3D design, jbr example 3DS Max. Blender and others In this ancient animal Ieaming media using pattern recognition that can be interment! as taking raw data and based on data classification Then it can take the mutation problem how to design 30 objects with the Blender application to introduce d anc‘ient animals. purpose of this m is to build ancient animal leaning media in real time by using augmented reality technology.

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

Implementation Of International Data Encryption Algorithm (Idea) In Database Security Web-Based S Giovani, Edwin; Sapri, Sapri; Jumadi, Juju
Jurnal Komputer Indonesia Vol. 2 No. 2 (2023): Desember
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i2.294

Security and confidentiality of data or information is one of the important aspects of data or information. The issue of security and confidentiality of computer data is important in this information age, especially for SMK Negeri 3 Seluma. Various ways are done to protect the data or information. One of them is by using cryptography with the International Data Encryption Algorithm (IDEA) algorithm. symmetry cryptography created that provides high enough security. The system implementation uses the PHP programming language with the MySql database. The method used in this research is waterfall, this application is designed using UML (Unified Modeling Language). From the analysis and discussion of the research obtained that the encryption results produced by the International Data Encryption Algorithm (IDEA) do not change the plaintext results into ciphertext if the key is greater than or many of the plaintext characters. The result of this research is a software application that is useful for maintaining database security with the International Data Encryption Algorithm (IDEA) method. With this application can be one solution in securing the database.

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 KEAMANAN PADA CITRA DIGITAL MENGGUNAKAN ALGORITMA LEAST CONGRUENTIAL GENERATOR DAN LEAST SIGNIFICANT BIT Deaz, Natali Mevian; Jumadi, Juju; Akbar, Abdussalam Al
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2600

Abstrak: Steganografi LSB memanfaatkan Least Significant Bit dari data media penampung yang akan disubstitusikan dengan bit dari data pesan yang akan disembunyikan. Konsep LSB yang melakukan substitusi secara linear menyebabkan pesan yang disembunyikan dapat dibaca dengan mudah oleh pihak lain yang tidak berhak. Pengacakan dianggap perlu agar proses substitusi pada media penampung tidak dilakukan secara linear. LCG merupakan metode pembangkit bilangan acak semu yang mana akan menghasilkan bilangan acak menggunakan parameter a, b dan M. Bilangan acak yang dihasilkan relatif baik dengan penggunaan parameter yang tepat. Implementasi LCG dalam membangkitkan lokasi penyisipan secara acak memberikan keamanan tambahan terhadap pesan yang disembunyikan sehingga dapat menutupi kekurangan dari steganografi LSBDari hasil pengujian yang dilakukan dapat disimpulkan bahwa keamanan pesan pada citra digital menggunakan algoritma LCG dan LSB terbukti dapat memberikan keamanan tambahan yang cukup baik dan kualitas dari citra digital tidak berbeda antara menggunakan LCG dan tidak menggunakan LCG karena pada dasarnya penyisipan dilakukan oleh metode LSB sedangkan LCG hanya menentukan posisi pikselnya saja. Kata kunci : Least Significant Bit, Linear Congruential Generator, Citra Digital

Co-Authors Ade Pratama, Efran Fernando Akbar, Abdussalam Al alvebi hopaliki Cantika, Shintia Deaz, Natali Mevian Indra Kanedi Jusuf Wahyudi Khairil Khairil Koko Mukti Wibowo Mukti Wibowo Leni Natalia Zulita Lianda, Deri Liza Yulianti Mariani, Olvi Pransiska, Yance Pratama, Ropi Devin Agustian Putra, Rahmat Pidi 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

Title

Found 19 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 19 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 19 Documents
Search