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All Journal Jurnal Media Infotama International Journal of Artificial Intelligence Research JMM (Jurnal Masyarakat Mandiri) JUTIM (Jurnal Teknik Informatika Musirawas) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Dehasen Mengabdi Jurnal Komputer, Informasi dan Teknologi
Jumadi, Juju
Program Studi Informatika, Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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IMPLEMENTASI KRIPTOGRAFI UNTUK KEAMANAN DATABASE DENGAN MENGGUNAKAN ALGORITMA TWOFISH PADA PUSKESMAS ILIR TALO Edy Rahmat; Juju Jumadi; Deri Lianda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 3 (2024): August 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i3.2179

Abstract

Abstract: 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 something that is important in this information era, especially for Ilir Talo Health Center. Various ways are done to protect the data or information. One of them is by using cryptography with Twofish algorithm. Cryptography with a block cipher symmetric key with the length of each block is fixed at 128 bits. System implementation using PHP programming language with MySql database. The method used in this research is waterfall, this application is designed using UML (Unified Modeling Language). From the analysis and discussion, it is obtained that the encryption results produced by Twofish utilize bit manipulation techniques, permutation/ whitening boxes. The result of this research is a software application that is useful for maintaining the security of medical record databases using Twofish method. With this application, it can be one of the solutions in securing the database. Keywords: security, cryptography, twofish, medical records. Abstrak: Keamanan dan kerahasiaan data atau informasi merupakan salah satu aspek yang penting dari suatu data atau informasi. Masalah keamanan dan kerahasiaan data komputer merupakan sesuatu yang penting dalam era informasi ini terutama bagi Puskesmas Ilir Talo. Berbagai cara pun dilakukan untuk melindungi data atau informasi tersebut. Salah satunya dengan menggunakan kriptografi dengan algoritma Twofish. kriptografi dengan kunci simetrik cipher blok dengan panjang setiap blok adalah tetap 128 bit. Implementasi sistem menggunakan bahasa pemrograman PHP dengan database MySql. Metode yang digunakan dalam penelitian ini adalah waterfall, aplikasi ini dirancang menggunakan UML (Unified Modelling Language). Dari analisa dan pembahasan diperoleh bahwa hasil enkripsi yang dihasilkan oleh Twofish memanfaatkan teknik pemanipulasian bit, kotak permutasi/pemutihan. Hasil dari penelitian ini adalah sebuah aplikasi perangkat lunak yang berguna untuk menjaga keamanan database rekam medik dengan metode Twofish. Dengan adanya aplikasi ini dapat menjadi salah satu solusi dalam pengamanan database. Kata kunci: keamanan, kriptografi, twofish, rekam medik
Implementation of the Apriori Method for Analysis of Hotel Guest Visit Patterns at the Rio Asri Hotel Bengkulu Rodi Rodi; Liza Yulianti; Juju Jumadi
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.922

Abstract

Analysis of the pattern of guest visits at the Rio Asri Bengkulu Hotel with the a priori algorithm is carried out to obtain rules and predict the next guest visit and provide guests with marketing rewards to increase the interest of other visitors in utilizing and using hotel services regularly or periodically. A priori analysis is defined as a process to find all the rules that meet the minimum requirements for support and the minimum requirements for confidence. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this study is the waterfall method. The results of the analysis carried out with the variables used are arrival time, number of guests, area of ​​origin and class of room chosen by guests, it is found that the itemset with the best pattern is influenced by the specified minimum support value.
Comparative Analysis of the Blowfish Algorithm and the Des Algorithm in the Document File Encryption and Decryption Process Ronaldo Praja Saputra; Jusuf Wahyudi; Juju Jumadi
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1041

Abstract

Security issues are one of the most important aspects in the world of information technology, such as document security. Most of the documents are created through the Microsoft Office application package, because it is easy to use. There are several applications available in Microsoft Office, namely Microsoft Word, Microsoft Excel, Microsoft Access, Microsoft Powerpoint, and others that are used to process words and numbers according to user needs. Comparative analysis of the Blowfish algorithm and the DES algorithm in the encryption process is carried out based on 3 comparison aspects, namely processing time, file size and memory used. Comparisons were made with 40 test data in the form of document files, each consisting of 10 test data with extension formats *.docx, *.xlsx, *.pdf, and *.pptx, where these formats are familiar in data processing using Microsoft Office. Based on the tests that have been carried out, it can be concluded that in the encryption process, the DES Algorithm has a faster time than the Blowfish Algorithm with a percentage of the DES Algorithm's encryption processing time of 3.7975%. In the decryption process, the DES Algorithm has a faster time compared to the Blowfish Algorithm with a percentage of the DES Algorithm's encryption processing time of 3.595%. In the encryption process, the file size in the DES Algorithm increases bytes less than the file size in the Blowfish Algorithm. In the decryption process, the file size in the DES Algorithm and the Blowfish Algorithm does not change, because the file size returns to the original file size. In the encryption process, the DES Algorithm uses less memory compared to the Blowfish Algorithm with the percentage of memory used by the DES Algorithm being 49.655%. In the decryption process, the Blowfish Algorithm uses less memory compared to the DES Algorithm with the percentage of memory used by the Blowfish Algorithm 49.5925%
Implementasi Metode Pareto Abc untuk Pengendalian Persediaan Obat di Apotek Zhafirah Ronaldi Aprilianto; Juju Jumadi; Reno Supardi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1742

Abstract

Apotek Zhafirah often experience difficulties in making decisions for drug procurement. This is due to a factor that must be considered by the dispensary manager, namely the number of sales of drug items. Pharmacy managers are required to find ways to control the right order so as to reduce the occurrence of drug accumulation. The system is designed by paying attention to user needs related to Pareto ABC analysis process, which is a method used for inventory planning analysis. The system implementation uses the Visual Basic 2010 programming language and the research method used in this research is the waterfall method. Waterfall method is able to analyze the needs used to find out from the weaknesses of the old system, then make a design and continue with the design of the new system. By using Pareto ABC method, the results showed that drug data from January to December 2022 for the type of drug acarbose 50Mg consisted of Group A (March, June, July, August, September), Group B (January, April, May October) and Group C (February, November, December) while the amount of procurement was 9,642.
Network Infrastructure Design Of Gigabit Passive Ethernet Technology At Dehasen University, Bengkulu Khairil Khairil; Juju Jumadi; Ila Yati Beti
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1711

Abstract

The development of information technology has significantly increased the demand for reliable and stable internet network infrastructure, especially in higher education institutions. Universities require efficient network systems to support academic activities, digital learning, research, and administrative services. This research aims to design a network infrastructure using Gigabit Passive Ethernet Network (GPEN) technology at Universitas Dehasen Bengkulu. The previous network infrastructure relied on wireless radio point-to-point connections which often experienced interference caused by obstacles such as buildings, trees, and weather conditions. The proposed GPEN-based infrastructure is expected to provide a more stable and efficient network connection compared to the previous system. The research method used is Research and Development (R&D), which includes observation, literature study, and laboratory testing. Network design is implemented using MikroTik devices such as NetPower, GPEN11, and GPeR to extend Ethernet connectivity. The results of this study show that the GPEN network implementation provides better bandwidth stability, reduces interference problems, and improves overall network performance. Therefore, the GPEN-based infrastructure can be considered an effective solution for improving campus network connectivity at Universitas Dehasen Bengkulu
Pengenalan Augmented Reality Pada Komunitas Belajar SMP Negeri 23 Seluma Dewi Suranti; Juju Jumadi; Abdussalam Al Akbar; Ridho Rahman Kurnianto; Defri Wiranata
Jurnal Dehasen Mengabdi Vol 3 No 2 (2024): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v3i2.11078

Abstract

The development of information technology has introduced various innovations in education, one of which is the use of Augmented Reality (AR) as an interactive learning medium. This community service activity aims to provide teachers and students with an understanding of the concept and utilization of Augmented Reality in the learning process at SMP Negeri 23 Seluma. The implementation method was carried out through a workshop consisting of preparation, implementation, and evaluation stages. During the implementation stage, participants were given material about the concept of Augmented Reality and practical training using AR applications such as AR-Kids and Assemblr Edu. The results show that participants gained increased knowledge about Augmented Reality technology and were able to use AR applications in learning activities. This activity is expected to improve teachers’ competencies and encourage the use of innovative technology in the learning process to create more engaging and interactive learning experiences.
Implementasi Metode K-Means Clustering Pada Segmentasi Citra Digital Efran Fernando Ade Pratama; Khairil Khairil; Juju Jumadi
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

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 Shintia Cantika; Indra Kanedi; Juju Jumadi
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

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) Rahmat Pidi Putra; Juju Jumadi; Deri Lianda
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

Abstract

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 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.
Co-Authors Abdussalam Al Akbar Ahmad Asyhari Annisa Putri Pratiwi Defri Wiranata Dellya Septari Devi Sartika Devi Sartika Dewi Suranti Edy Rahmat Efran Fernando Ade Pratama Eky Heryendy HR Fredricka, Jhoanne Gita Dahlia Lestari Gustian Febri Syah Putra Hengki Jon Saputra Herlina Latipa Sari Ila Yati Beti Intan Diba Aulia Sari Jusuf Wahyudi Jusuf Wahyudi Kanedi, Indra Kanedi Khairil Khairil Lena Elfianty Lianda, Deri Liza Yulianti M Dicky Imansyah Mesterjon Mesterjon Natali Mevian Deaz Nofi Qurniati Ockhy Jey Fhiter. W Olvi Mariani Rahmat Pidi Putra Redo Osi Putra Reno Supardi Ricky Zulfiandry Ridho Rahman Kurnianto Ridwan Ridwan Rodi Rodi Ronaldi Aprilianto Ronaldo Praja Saputra Sallaby, Achmad Fikri Shintia Cantika Siswanto Siswanto Venny Novita Sari Yupianti, Yupianti