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Rifqo, Muhammad Husni
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Implementasi Metode MD5 dan QR Code Untuk Pembuatan ID Card Dosen Dan Karyawan Fakultas Teknik Di Universitas Muhammadiyah Bengkulu Rifqo, Muhammad Husni; Firmansyah, Firmansyah
JSAI (Journal Scientific and Applied Informatics) Vol 2, No 3 (2019): Computer science and applied informatics
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v2i3.401

Abstract

Abstrak: Perkembangan teknologi informasi saat ini semakin meningkat, dalam kehidupan masyarakat teknologi informasi hampir mencakup kesemua bidang termasuk kedalam perusahaan atau instansi pendidikan. Bahkan merupakan suatu keharusan bagi perusahaan atau instansi pendidikan akan ketersediaan informasi yang sudah terkomputerisasi. Hampir semua perusahaan sekarang ini menggunakan kartu identitas (ID Card) pada pegawainya sebagai identitas yang membedakan dengan perusahaan yang lain, banyak keuntungan yang didapat dari pemakaian sistem ID Card yang terintegrasi dengan absensi dan database perusahaan. Karena hal ini dapat meningkatkan motifasi dan kinerja pegawai. Akan tetapi kita sangat jarang menemukan pemakaian ID Card pada perguruan tinggi khususnya di daerah Provinsi Bengkulu, entah apa karena belum ada ID Card atau sudah ada tapi masih enggan untuk memakainya. Harapan dari pembuatan ID Card yang menggunakan QR Code ini dapat menarik minat untuk menggunakannya khususnya di fakultas teknik Universitas Muhammadiyah Bengkulu. Pembuatan ID Card ini menggunakan tools Delphi 7 dan terintegrasi dengan microsoft acces sebagai database yang nantinya diharapkan bisa digunakan untuk sistem absensi. Kemudian menggunakan metode MD5 sebagai pengamanan dari ID Card agar tidak mudah dipalsukan. Penulis memilih QR Code karena didalamnya bisa menyimpan informasi sehingga semua data bisa dirahasiakan. Kedepan akan lebih baik jika digunakan bersama sistem absensi yang selama ini masih menggunakan sistem sidik jari.Kata Kunci: Id card, QR code, MD5, UMB
Sistem Pendukung Keputusan untuk Pemberian Reward Kader Terbaik Organisasi Ikatan Mahasiswa Muhammadiyah Kota Bengulu Menggunakan Algoritma Simple Additive Weighting Rifqo, Muhammad Husni; Prabowo, Dedy Agung; Dernata, Jaka
Journal of Technopreneurship and Information System (JTIS) Vol 2, No 2 (2019): Journal Techoprenership and Information System
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v2i2.372

Abstract

Ikatan Mahasiswa Muhammadiyah disingkat IMM adalah gerakan Mahasiswa Islam yang beraqidah Islam bersumber al-Quran dan As-Sunah. Pendapatan keanggotaan Ikatan Mahasiswa Muhammadiyah yang berupa Anggota Biasa, Anggota Luar biasa dan Anggota Kehormatan memerlukan sistem pendukung keputusan untuk menunjang kondisi internal yang baik di level Pimpinan di Kota Bengkulu. Pengambilan keputusan dianggap sebagai sautu proses pemilihan suatu jalur dengan beberapa alternatif-alternatif yang ada, setiap pengambilan keputusan selalu menghasilkan satu pilihan. Seorang anggota organisasi yang menerima reward tentunya harus memenuhi beberapa kriteria-kriteria tertentu yang berhubungan dengan kriteria yang ditentukan oleh masing-masing organisasi. Algoritma SAW (Simple Additive Weighting) dikenal istilah metode penjumlahan terbobot adalah menggunakan proses normalisasi matriks keputusan yang dibandingkan dengan semua alternatif yang ada dalam mencari rating atau kinerja, metode penyelasaian masalah multi atribut ini paling sederhana paling banyak digunakan merupakan metode paling mudah diaplikasikan karena mempunyai algoritma yang tidak terlalu rumit. Penelitian ini bertujuan untuk memberikan kemudahan kepada organisasi IMM dalam menilai dan memberikan reward kepada anggotanya.
SISTEM RESPON LAMPU LALU LINTAS TERHADAP PELANGGARAN PENGENDARA MENGGUNAKAN ULTRASONIK Rifqo, Muhammad Husni; Aprianti, Heni
JSAI (Journal Scientific and Applied Informatics) Vol 3, No 1 (2020): Jurnai Scientific and Applied Informatics
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i1.946

Abstract

Abstrak – Angka kecelakaan lalu lintas dalam beberapa tahun ini sangat tinggi. Pada tahun 2013 majalah Gatra mencatat sebanyak 93.578 kasus kecelakaan lalu lintas di Indonesia dengan jumlah korban tewas mencapai 23.385 orang. Faktor penyebab terjadinya kecelakaan lalu lintas di Indonesia adalah: aggressive driving (67%), over speed (60%), penggunaan HP saat mengemudi (37%), perilaku berbahaya yang tidak lazim (45%), unsafe passing (43%), drive just for fun (12%), menerobos lampu pengatur lalu lintas (72%). Sistem pemantauan pelanggaran lalu lintas pada traffic light menggunakan sensor ultrasonik, berbais Arduino Uno adalah suatu alat yang dirancang untuk mempermudah polisi lalu lintas dalam mendeteksi pelanggaran lalu lintas di area traffic light. Tujuan pembuatan alat ini adalah meminimalkan kecelakaan yang sering terjadi dikarenakan banyak pengendara kendaraan yang menerobos disaat lampu merah. Penelitian ini mendiskusikan tentang perancangan cara kerja sensor ultrasonik, cara kerja alat ini yaitu pada saat lampu merah menyala maka sensor ultrasonik on, sehingga ketika ada kendaraan yang melintasi garis batas lampu merah maka sensor ultrasonik tersebut akan mengirimkan perintah kepada Arduino Uno memerintahkan buzzer untuk mengeluarkan suara, suara yang dikeuarkan berupa suara beep.Kata kunci : Arduino Uno, Ultrasonik, Buzzer
Apriori Algorithm Implementation on Market Basket Analysis (MBA) of Mobile Phone Accessories Putra, Erwin Dwika; Rifqo, Muhammad Husni; Hardianto, Depmi
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.v2i2.879

Abstract

Theuse of data mining techniques presently help business owners to facilitate the promotion of their product marketing. One of the most techniques is well-known as association analysis. This association analysis aims to find the relationship between the goods purchased by customers. This kind of association analysis is commonly known as market basket analysis. Market basket analysis uses customer data that has been stored in the database to find new information in it. The apriori algorithm, is applied an algorithm for conducting market basket analysis, which aims to find the most frequently purchased items. This apriori algorithm produces an association rule that is useful for business actors. By analyzing the association a priori algorithm can be seen that customers’ data can be used as input for business owners to determine sales strategies for their business.
The Application of K-Means Clustering Method for Rubber Price Grouping in Sengkuang Jaya Village Bengkulu Province Khairullah, Khairullah; Rifqo, Muhammad Husni; Witriyono, Harry; Karolina, Adelia
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.v2i2.883

Abstract

Sengkuang Jaya village is an area located in Bengkulu province. The calculation of price for rubber is still calculated manually in the village. This study wants to apply the k-means clustering method for calculating rubber prices according to the quality of rubber owned by farmers in Sengkuang Jaya Village, Bengkulu Province. This study aimed to determine prices based on rubber quality in Sengkuang Jaya Village,Bengkulu Province. The tehnique of collecting the data of this study used interview and observation.The results showed that from 15 samples of rubber latex data taken,the price of rubber with the highest cluster was found for rubber 2 weeks and over and for rubber 2 weeks down including cluster 2.The results of testing the rapidminer tools run well without any errors. Base on the result of the study can be suggested that further research can be developed with the same type of data but using better methods such as using the Fuzzy C-Means algorithm, Hard C-Means and completing the sample which may be up to 1 year of rubber storage.
Analysis of The Theme Clustering Algorithm Using K-Means Method Putra, Erwin Dwika; Rifqo, Muhammad Husni; Deslianti, Dwita; Krismiyani, Krismiyani
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.v2i2.884

Abstract

The title of this research is the analysis of the thesis theme clustering algorithm using the k-means method. The main problem is how we can find out which theme is most in demand by thesis students at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This clustering uses the K-means method. The K-Means method was chosen because this method is one of the non-hierarchical data clustering methods that seeks to partition data into two or more clusters with the same characteristics included in the same cluster. The purpose of this research is to help prospective students who will write their thesis in knowing which themes are more interested in them.
3D Visualization as A Web-Based Promotional Media (Case Study: Faculty of Engineering, University of Muhammadiyah Bengkulu) Hidayat, Rahmat; Rifqo, Muhammad Husni
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.v2i2.899

Abstract

Promotion is an activity that is commonly carried out by various universities, especially when they are about to enter a new school year to attract prospective new students. The Faculty of Engineering is one of the faculties at the University of Muhammadiyah Bengkulu. The Faculty of Engineering has a variety of promotional media, one of which is a website with the address at ft.umb.ac.id. The official website of the Faculty of Engineering provides information about achievements that have been achieved, important activities carried out by students and lecturers, profiles of the Faculty of Engineering and each study program in it, and links to related website pages. However, the website does not provide information about what is in the Faculty of Engineering. This makes website users not know how the atmosphere is when they are in the Faculty of Engineering. The research method used in the study was research and development (R&D) method. This research produces a website page that contains a 3D visualization of the Faculty of Engineering building and rooms and objects in it that can be used as additional promotional media options for the Faculty of Engineering, University of Muhammadiyah Bengkulu.
Utilization of Base64 Encryption Repetition for QR Code Presence on Online Attendance Putra, Iqbal Pratama; Witriyono, Harry; Rifqo, Muhammad Husni; Muntahanah, Muntahanah
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.v2i2.942

Abstract

The implementation of the attendance system at the University of Muhammadiyah Bengkulu needs to be developed to be more effective in its implementation. This study aims to build a more effective attendance system to answer the problems that still exist in lecture attendance. In the construction of the presence system, the use of base64 encryption repetition is used for the presence of the Qr code. QR Code is used for security and reliability in code scrambling. The randomization was intended to limit students so that they could not make attendance if the class did not match. This is done to ensure that the student is present in class and the lecturer can anticipate student fraud in taking attendance. Therefore, in order to maintain security and avoid leakage and fraud in attendance, we need a system that can protect and maintain the security of a system. Base64 encryption repetition can be used to protect each student's string.
System Of Testing And Grouping Of Student Development In Pure Interest Paud With Methodk-Means Clustering Sonita, Anisya; Apridiansyah, Yovi; Rifqo, Muhammad Husni; Pariza, Rahmat
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.v2i2.1023

Abstract

The Bunga Murni PAUD in Bengkulu City, precisely in Sumber Jaya, is one of the facilities for kindergarten education. Where the school will be a place for children to improve themselves from various aspects of child development. Bunga Murni PAUD has not been able to carry out testing the development of their students by means of the Screening Method, because it will require a lot of money and time to carry out these activities, starting from preparing the child development form data that must be printed and then collecting the parents of students to come to the school. PAUD to fill out the form which is considered quite time consuming and sometimes has to be hindered because some parents cannot attend. Seeing from these problems, therefore in this study a website-based system will be created that will assist in these activities. In this system, a process for filling out child development forms will be made as well as a process for grouping child development. To see the results of grouping children's development based on the completed child development form, it will be made using the K-Means Clustering method to find out which children fall into the category of active child development and less active child development. The results of the tests in this study showed that from the 10 samples of students tested, 5 students entered the category of active child development and 5 students entered the less active child development category.
Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm Anggara, Muhammad Andre; Sonita , Anisya; Rifqo, Muhammad Husni; Wijaya, Ardi
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1188

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.
Co-Authors Abdullah, Dedy Aminudin, Rahmad Anggara, Muhammad Andre Aprianti, Heni Apridiansyah, Yovi Ar Rahman, Muhammad Hafiz Dandi Sunardi Dedy Agung Prabowo Defry, Geovano Dena, Yunita Meli Dernata, Jaka Deslianti, Dwita Diana Diana Fadila, Aldevia Firmansyah Firmansyah Guntur Alam Hardianto, Depmi Harianto, Ozi hidayah, agung kharisma Hidayah, Agung Kharismaah Imanullah, Muhammad Juhardi, Ujang Justicia, Andrean Suryadinata Karolina, Adelia Khairullah, Khairullah Krismiyani, Krismiyani Mahfuzhi, A.R Walad Mahfuzi, A.R Walad Muntahanah, Muntahanah Naufallah, Muflih Rasyid Pariza, Rahmat Putra, Erwin Dwika Putra, Iqbal Pratama Rahmat Hidayat Rina Yuniarti, Rina Samudra, Topan Sonita , Anisya Sonita, Anisya Supriyadi, Anisyah Oktariani Surya Ade Saputera Wahyu Hidayat Wijaya, Ardi Wijaya, Egi Putu Witriyono, Harry Yanto, Febi Febri Yulia Darmi Yulia Darmi, Yulia Darmi Yuza Reswan