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Implementasi Algoritma Base64 Sebagai Tingkat Keamanan Data Pada Website Sistem Informasi Pencatat Barang Tio Lovian; Iskandar Fitri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3513

Abstract

The slowness of a job can be affected by many things, mostly due to the large number of files for a single activity. The introduction of a computerized goods recording system is intended to assist users in carrying out their work and facilitate users in finding information on incoming and outgoing goods data. The application made has additional features from previous research, namely exporting incoming and outgoing goods data in the form of 3D graphics and there is a live chat that functions for interaction between application users. For data security, the transaction id stored in the database uses base64 encryption, aiming to secure data from irresponsible parties. In the encryption process, it has been tested using 300 data and has a file size of 1MiB (Mebibyte) by making the data safe and cannot be cracked by other parties. In testing the attack on encrypted data in this application, 20 methods of attack were proven to be unhackable, unless using the encode that was made in this application. The data security process used is to encrypt the transaction id of incoming goods and outgoing goods stored in the database and the description results are found on the website page
Penerapan Forward Chaining dan Certainty Factor Pada Sistem Pendeteksi Penyakit Hewan Qurban Berbasis Android Nabila Tiara Nuraini; Rima Tamara Aldisa; Iskandar Fitri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3516

Abstract

Qurbani worship is a worship of the slaughter of livestock carried out on the feast of Eid al-Adha. In Indonesia the dominant livestock used for qurban worship is goats and cows, qurban animals that are allowed to be slaughtered also have conditions ranging from age and most importantly their health. This research is done so that goats and cows that will be slaughtered for qurban worship are free from existing diseases. Some of the problems in the system that will be built is the lack of understanding of the sellers of animals qurban about the diseases suffered by goats and cows from the symptoms experienced by these animals. This study used  the method of forward chaining  and  certaity factor in solving the problems that exist in goat and cow animals, to produce a conclusion in detecting diseases in these animals based on existing symptoms. The process of designing the application of disease detection expert systems in goat and cow animals uses the java programming language  and  uses   a text editor android  studio. The authors also tested the comparison of the combination method between forward chaining  and  certainty factor with the forward chaining  and  naïve bayes  methods  that received the highest percentage value results, namely in the  forward chaing  and  certainty factor  methods with a value of  9.553%.  in scab disease suffered by goat animals and a value of  9.509%in bloating disease suffered by cow animals. Getting the final result on the calculation of detection of goat disease by 91,264% with indicated suffering from  scab disease and also in cow animals by 90,432% indicated to suffer from bloating disease, both the final results of the calculation of the type of disease suffered by goats and cows respectively seen from the symptoms that have been inputted by the  user.
Sistem Pakar Untuk Mendiagnosa Penyakit Mata Menerapkan Metode Certainty Factor dan Forward Chaining Marcelino Oktaviansyah; Rima Tamara; Iskandar Fitri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3542

Abstract

Disorders of the eye become a disease that is often experienced. There is a new symptom model found, causing confusion that occurs. Diseases of the eye often attack humans, especially in the current era of digital technology, because they spend more time staring at cell phone or computer screens. So the application of this expert system is made to provide solutions for the community to diagnose the symptoms that are often experienced. In making this application, the forward chaining method and certainty factor are used in the application built and comparison with the combined forward chaining and naive Bayes method. The test is carried out by testing 40 data samples based on existing symptoms, carried out by the system and also manually to see the accuracy of the values given. The results given are that there is a fairly high level of certainty in the diagnosis of hypermetropia with a certainty value of 88.43% and the smallest certainty value in the diagnosis of presbyopia with a value of 61.702% of the total testing obtained a probability level of certainty ranging from 51%-79%.
Analisis Perancangan Jaringan Fiber to The Home Area Universitas Nasional Blok IV dengan Optisystem Efan Nuari; Iskandar Fitri; Nurhayati Nurhayati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.1984

Abstract

Researchers will be designing the access network Fiber To The Home (FTTH) on the technology of Gigabit Passive Optical Network (GPON). The location that became the case study was the National University of Block IV, where the network speed at the site was slightly reduced speed. The purpose is to get the design of an access service network that is expected to be implemented for triple play services. Starting with data collection of data. The Fiber To The Home (FTTH) network design determining device specification, layout and number of devices used and simulated using Optisystem application. Then in the analysis based on predefined parameters in the form of BER (Bit Error Rate), Link Power Budget, and Rise Time Budget that meet the optical network with the standard of PT. Telkom. The results of the BER value has fulfilled the minimum BER value specified for fiber optic is 10-9 and for parameter Q – Factor obtained value 9,32288 so that has been meets the standard because it shows values above 6
Penerapan Algoritma Crawling dalam Otomatisasi Verifikasi Pembayaran Tiket Seminar Eldy Dwi Sentosa; Iskandar Fitri; Agus Iskandar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2578

Abstract

The system for viewing student seminar payment data can be viewed through administrator controls. The seminar payment confirmation process for National University students still uses the manual system by paying the seminar organizer so it takes longer to process the seminar payment. The purpose of creating this system is to speed up the payment time of the seminar. This system uses a unique 3-digit code in each payment of seminar participants, this unique 3-digit code acts as a mark that differentiates student payments so that it does not require confirmation to the seminar organizer. Cron work will be performed on UNIX-based operating systems (Linux, Ubuntu, etc.) which function to perform tasks or scripts automatically. The content of the script is an order to execute the payment confirmation order against the participant. This level of research consists of several stages, namely needs analysis, design, writing system application code, application testing. This investigation has resulted in an application that can expedite the payment verification process by matching the number of transfer participants with those in the database. The results of testing the payment verification process are influenced by the Crawl Algorithm to help the payment process become more effective. With results that have been tested on average, it shows 4.8 seconds to confirm the participant's payment. With this seminar payment system, you can save time to process seminar payments.
AUGMENTED REALITY SEBAGAI MEDIA PENGENALAN DAN PROMOSI UNIVERSITAS NASIONAL Danang Aji Pangestu; Iskandar Fitri; Fauziah Fauziah
(JurTI) Jurnal Teknologi Informasi Vol 4, No 1 (2020): JUNI 2020
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (878.069 KB) | DOI: 10.36294/jurti.v4i1.1230

Abstract

Abstract - Universitas Nasional is the second oldest private university in Indonesia and the oldest private university in Jakarta. But there are still many people who do not know the information about the Universitas Nasional, for that we need an application as a media introduction to the Universitas Nasional. This study utilizes augmented reality technology as an application to introduce and promote the Universitas Nasional in 3D with the Marker Based Tracking method, which utilizes the logo of the Universitas Nasional as a marker for scanning to bring up objects. The system development method in this study uses the MDLC (Multimedia Development Life Cycle) method which consists of six stages, namely concept, design, material collecting, assembly, testing, distribution. With the application of ARNAS (Augmented Reality Universitas Nasional) can be a media introduction and promotion at the Universitas Nasional. The results of the study resulted in an application in the form of displaying miniature Universitas Nasional buildings in 3D, a brief history, faculties, and room names for each block, as well as how to use the application. The ARNAS application can run well on the Android operating system.Keywords – Augmented Reality, Marker Based Tracking, MDLC, Android. Abstrak - Univeritas Nasional merupakan Universitas swasta tertua kedua di Indonesia, dan Universitas swasta tertua  di Jakarta. Namun masih banyak orang yang belum mengetahui informasi tentang Universitas Nasional, untuk itu dibutuhkan sebuah aplikasi sebagai media pengenalan Universitas Nasional. Penelitian ini memanfaatkan teknologi augmented reality sebagai aplikasi pengenalan dan promosi Universitas Nasional secara 3D dengan metode Marker Based Tracking, dimana memanfaatkan logo dari Universitas Nasional sebagai marker untuk dilakukan scanning agar memunculkan objek. Metode pembangunan sistem pada penelitian ini menggunakan metode MDLC (Multimedia Development Life Cycle) yang terdiri dari enam tahap, yaitu konsep (concept), desain (design), pengumpulan bahan (material collecting), perakitan (assembly), pengujian (testing), distribusi (distribution). Dengan adanya aplikasi ARNAS (Augmented Reality Universitas Nasional) dapat menjadi media pengenalan sekaligus media promosi pada Universitas Nasional. Hasil penelitian mengasilkan aplikasi berupa menampilkan miniatur gedung Universitas Nasional secara 3D, sejarah singkat, fakultas, dan nama ruangan setiap blok, serta cara pemakaian aplikasi. Aplikasi ARNAS dapat berjalan dengan baik pada sistem operasi android. Kata Kunci - Augmented Reality, Marker Based Tracking, MDLC, Android.
Expert System Toxoplasma Gondii To Detect Disease In Women With Web Based Methods Chaining Forward: Expert System Toxoplasma Gondii To Detect Disease In Women With Web Based Methods Chaining Forward Gabbi Rinzani; Iskandar Fitri; Nur Hayati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.569 KB)

Abstract

Cases of Toxoplasmosis in humans in Indonesia ranged from 43 to 88%, while in animals ranged from 6 to 70% depending on the type of animal and its region. Many people do not know about this disease because of lack of knowledge possessed. Based on these problems, in this study the expert system uses a web-based forward chaining method to find out information on disease symptoms and to detect early Toxoplasma Gondii in women, so as to reduce the risk of being infected with the Toxoplasma Gondii parasite. This system produces the output that the knowledge material used is based on expert knowledge. In addition, the accuracy of the results of testing this system gets a percentage of 100%.
E-Commerce Based Website With Method Economic Order Quantity (EOQ): E-Commerce Based Website With Method Economic Order Quantity (EOQ) Ani Rahmawati; Iskandar Fitri; Nur Hayati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.31 KB)

Abstract

Based on the observations it can be seen that problems in Tumblertees sales transaction process is still done manually which led to the possibility of human error that would result in misinformation and also experience problems with over-stock so that the proper stock management is needed in order to avoid waste of product purchase. This study build an e-commerce based website by using the waterfall model as the development of the system and apply the method Economic Order Quantity (EOQ) to facilitate the ordering process, the sale and purchase of products on Tumblertees. The test results showed that the use of the method of Economic Order Quantity (EOQ) is able to reduce costs to support the increase in sales turnover.
Expert System for Early Detection of Disease in Corn Plant Using Naive Bayes Method: Expert System for Early Detection of Disease in Corn Plant Using Naive Bayes Method Budianto Budianto; Iskandar Fitri; Winarsih Winarsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.733 KB)

Abstract

Corn is a third main plant after the paddies and squeeze in the world, and occupied a second position after the paddies in indonesia. Corn grows both good in the hot areas and cold with the rainfall and irrigation. But it's often dealing with a corn peasants Other than the pest is less information about the disease that attacked corn plants so that cause productivity becomes reduced. The expert - based expert system that has been built with framework php is the codeigniter and MySQL As the databases and methods used in detecting initial disease on the corn plant is Naïve Bayes. The result in the probation is a prodial by a disease on the corn plant is being used as a probe for decision for the farmers'decision. The system that has been built is expected to help the peasants in determine and Choose the right handling and according to the level of 92% of the system.
Expert System of Diagnosis of Human Dental Diseases Using The Naïve Bayes Method: Expert System of Diagnosis of Human Dental Diseases Using The Naïve Bayes Method Henry Prasetyo Utomo; Iskandar Fitri; Winarsih Winarsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.448 KB)

Abstract

Teeth are important in the process of breaking down food, but many people do not pay attention to dental health. Unfortunately, most people especially in Indonesia are unconscious and don't really care about the dental health they experience. The main factor is the pattern of consumption of sweet foods and the high cost of consultation with the dentist. Therefore an expert system is needed which is expected to be a solution to diagnose dental disease. The present study applies the Naïve Bayes method because it is based on looking at the probabilities that exist in dental disease data through several perceived symptoms. The diagnosis process is carried out by inputting symptoms of the disease then the probability value of each class is calculated then the final result is the disease class that has the highest probability. The test results in this study involved testing data that were able to produce an accuracy of 93% so that the system could be applied to dental disease
Co-Authors Ade Saputra Aditya Nuryudha Iriandi Agung Triayudi Agus Gunaryati Agus Herlan Agus Iskandar Ahmad Khuzaifi Ahmad Muslih Mardia Albaar Rubhasy Albaar Rubhasy Albaar Rubhasy Albaar Rubhasy Aldi Ardiansyah Alhadi Alhadi Andreas Aman Tokan Andri Aningsih Andri Aningsih Andri Fauzan Andrianingsih Anggun Wibowo Ani Rahmawati Anis Supriatin Aris Gunaryarti Aris Gunaryati Ariwirawan Djali Atalya Kurnia Sari Bagas Apriandadwi Putra Bayu Setyo Prayogi Ben Rahman Budi Tri Utomo Budianto Budianto Chairil Rohadi Danang Aji Pangestu Daud Situmorang Denis Taslim Denny Hidayatullah Deny Hidayatullah Deny Hidayatullah Dicky Prasetyo Dimas Dandy Aryarajendra Suprapto Dinul Akhiyar Efan Nuari Eky Pambudi Syiamtoni Eldy Dwi Sentosa Endah Tri Esti Handayani Eri Mardiani Fahmi Apriliansyah Fahri al Rasyid Fauzan Muhammad Fauziah Fauziah Febri Hadi Fhizyel Nazareta Fikri Iqromuddin Firnas Azamta Gabbi Rinzani Gio Fandy H Nainggolan Gunadi Widi Nurcahyo Hanggita Ahmad Humansyah Hanif Rahman Burhani Harfidz Alif Alfatihah Harfidz Alif Alfatihah Hasbulloh Hasbulloh Hendy Dwi Haryoyudhanto Henry Prasetyo Utomo Ilham Wahyudi Siadi Iman Cahyadi Ira Diana Sholihati Johar Saputra Irsandi Kresno Wibowo Kurniadin Nehe Leony Mayank Andiny Marcelino Oktaviansyah Mikhael Kristian Mike Mochammad Alif Kurniawan Mochammad Arya Darmawan Mohammad Aldinugroho Abdullah Muhamad Alfaiz Muhamad Sopiyan Muhammad Faiz Syafii Muhammad Muttaqin Muchlis Muhammad Rafiq Zayana Muhammad Raihan Azis Muhammad Ridwan Muhammad Zulfi Rahmanzi Muhammad Zulfi Rahmanzi Muklis Haryono Nabila Tiara Nuraini Niam Shofi Nor Alip Novi Dian Nathasia Novi Dian Nathasia Novi Dian Nathasia Novi Dian Nathasia Novi Dian Nathasia Novi Dian Nathasia Novi Dian Nathasia Nur Hayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhazmi Hawari Oka Saputra Rafif Ramadhan Al Yarda Richard Ronaldo Marbun Rima Tamara Rima Tamara Aldisa Rima Tamara Aldisa Rini Nuraini Rini Nuraini Rini Nuraini Rini Nuraini Sari Ningsih Savanah Sekar Arum Siti Amalia Nazihah Surosa Sumarhadi Sumarhadi Sumijan Suprapto, Dimas Dandy Aryarajendra Supriyanto Supriyanto Suryadi Suryadi Syamsun Nahar Abdullah Syifa Faradilla Fabrianne Teuku Feraldy Ramadhani Tiara Andhiza Tiara Andhiza Tio Lovian Tri Oktafi Sidqi Ucuk Darusalam Vicky Agnes Arundy Willi Akbar Satria Wilman Wilman Winarsih Winarsih Wisnu Andika Putra Yoga Furqaansyah Yolanda Nur Oktavia Yudhi Setiawan