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Animal Recognition Application Based on Food Type Using Android Based Augmented Reality Dona Ardiansyah; Ade Eviyanti; Arif Senja Fitrani
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1227

Abstract

Augmented reality (AR) is a technology with the concept of combining the dimensions of the real world with the dimensions of the virtual world that is displayed in real time. Augmented reality is not like virtual reality which replaces the real world augmented reality only adds and complete this ,this is done by drawing there-dimensional object on the marker, which is a pattern that is unique and can be recognized by its application this method often called the single marker and 3D method tracking objects smartphones allowed the development of augmented reality applications easily inexpensively and can be accessed by many users augmented reality can be utilized in various fields for example for the means of developing children’s education by playing and learning using augmented reality such as using a smartphone as learning medium by using augmented reality android based reality with a marker object to bring up 3d animal objects as a medium for learning and introducing animals bases on the type of food.
Application Design “Xanthe Original Distro” Web Based to Increase Sales Value Satria Hidayahtullah; Arif Senja Fitrani
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1245

Abstract

Xanthe Original distributions have quite a number of buyers or members, in this case, the main focus that will be evaluated is how to process online and offline sales of original Xanthe products. Online sales of original Xanthe products are still required to contact the original Xanthe distribution via WhatsApp to ask for stock, product details, product prices, and product delivery costs, so members or buyers must wait first until the distribution party replies to the WhatsApp chat, while in offline sales Xanthe products originals are required to come to the original Xanthe distro, and the problem that often occurs when buyers come directly to the distribution is that the product they want to buy is out of stock. The purpose of designing this application is to produce an effective and efficient sales application on the Xanthe Original distribution. The research used in completing this sales application is observation, interviews, and documentation carried out at the Xanthe Original Distro Sidoarjo. This sales application is made using the PHP Native programming language and MySQL as the database. The results of the research on this sales application are that the distribution party can manage goods data, category data, expedition data, member data, and computerized sales data. This application is expected to make it easier for members to buy original Xanthe products because product orders and product payments are made online, and there is no need to come to the store.
Configuring Load Balancing and Failover Using a Mikrotik Router on RT RW NET (Case Study: Dusun Klatakan Dayurejo) Muhammad Muzayyin; Arif Senja Fitrani
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1293

Abstract

The internet is something that is absolutely needed by every human being, as a result network administrators will implement various alternatives to meet user needs. The administrator will add an ISP line to be able to use the internet smoothly and easily. In fact, administrators often use an ISP's gateway line. This causes traffic inequality on the network when the number of users connected to the ISP line is much more. In the implementation of this final project, a load balancing and connection was made using 2 ISPs. The method used is the load balancing and failover method which is implemented using a mikrotik routerboard on the RT RW NET Dusun Klatakan network. With these two methods, all requests are based on the client that will enter the router that has been configured using the previous load balancing and failover method, so that the router will set the path based on the client through ISP 1 or ISP 2 in order to be able to back up each other's internet connections. The test results show the occurrence of equal access to access in a balanced way, so that there is no overload at one ISP.
Sistem Pendukung Keputusan Peserta Lomba Desain Logo Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Website Habibur Rahman Arjuni; Arif Senja Fitrani
Explorer Vol 2 No 2 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v2i2.310

Abstract

The Faculty of Business, Law and Social Sciences (FBHIS) Universitas Muhammadiyah Sidoarjo (Umsida) held an FBHIS Logo Design Competition for the FBHIS creative community. The provisions of the competition are to represent all study programs (Prodi) in FBHIS, namely Management Study Program, Master of Management, Law, Communication Studies, Public Administration, Accounting, and Digital Business. To help determine the winner of the best contestants, a decision support system (SPK) is needed that is able to provide alternative solutions to the parties concerned. The method used in the decision support system for selecting participants in the logo design competition uses the Simple Additive Weighting (SAW) method for the weighting of the criteria. The software used in making DSS is MySQL and PHP. The assessment criteria are taken from the Originality selection test scores, Design Idea Concepts, Aesthetic Values, Conformity of Themes and Messages Delivered. Alternative samples were taken as many as 20 participants with the top rank. The results of the SAW calculation give the order of the participants' scores from the highest to the lowest. The result of the SPK is not a final decision, because it goes back to the one who made the decision
Sales System at a Web-Based Cika Ciki Snack Shop Lia Iftitah; Arif Senja Fitrani
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1339

Abstract

Cika Ciki Snack Shop is one of the agents that sells a variety of snacks from various brands, but the store owner has problems promoting the products he sells, the longer it takes, the more competitors there are other snack agents, then Cika Ciki Snack Shop utilizes technology to market products. Therefore, the author created a website-based sales information system to develop a business in terms of sales. to make it easier for store owners to promote snacks and make it easier for customers to make purchases. This research was made using a Website-based information system with the waterfall method, and MySQL as the database, which is the data collection of anything snack along with the brand name provided by Cika Ciki Snack Store.
SISTEM INFORMASI PENGELOLAAN DAN PERENCANAAN BELANJA UNTUK CUSTOMER TOKO KELONTONG BERBASIS ANDROID Denny Hartanto; Arif Senja Fitrani
Jurnal Sistem Cerdas dan Rekayasa (JSCR) Vol 4 No 1 (2022): Jurnal Sistem Cerdas dan Rekayasa (JSCR) 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Widya Kartika (LPPM UWIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.049 KB)

Abstract

Saat ini teknologi berbasis mobile berkembang sangat pesat, sehingga menyebabkan perubahan besar pada bidang usaha jual beli. Dengan adanya hal tersebut persaingan bisnis menjadi sangat ketat, terlebih lagi bagi pelaku usaha mikro (khususnya pemilik toko kelontong) yang saat ini belum banyak memanfaatkan teknologi untuk menjalankan usahanya. Penelitian ini dilaksanakan pada toko kelontong yang berada di desa Suko Sidoarjo. Metode penelitian yang digunakan dalam penelitian ini terdiri dari pengumpulan data, analisa masalah, perancangan sistem, dan pembuatan sistem. Dengan adanya penelitian ini diharapkan menghasilkan sistem informasi berbasis android untuk customer toko kelontong, sehingga dapat meningkatkan penjualan toko kelontong dan dapat bersaing dengan toko modern dalam segi fasilitas, kesetaraan harga, dan pelayanan yang mudah dan cepat.
Analisis Kehadiran Pemilih di Tempat Pemungutan Suara Pada Pemilihan Presiden dengan Menggunakan Algoritma C4.5 (Studi Kasus di Desa Wonokasian Sidoarjo) Wahidiyah Kurniawati; Arif Senja Fitrani; Sukma Aji; Suprianto Suprianto
Journal of Electrical Engineering Vol. 1 No. 1 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jte.v1i1.2475

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Pemilihan umum diadakan setiap lima tahun dimana seluruh warga negara Indonesia berpartisipasi sebagai bagian dari proses demokrasi. Partisipasi warga negara penting untuk menggunakan hak pilihnya dalam memilih pemimpin saat pelaksanaan pemilu. Meningkatnya jumlah pemilih yang mengikuti pemilu dapat dijadikan sebagai patokan keberhasilan pemilu. Peneliti akan menguji klasifikasi berdasarkan data penduduk pemilu yang diperoleh dari Desa Wonokasian tahun 2019 menggunakan metode data mining C4.5. Variabel yang digunakan adalah Jumlah KK, Asal Penduduk, Kategori, Status, RT, TPS, Lokasi, Hadir (keluarga) dan Hadir. Hasil dari penelitian berikut menggunakan weka sehingga memudahkan bagi masyarakat desa mengetahui data pemilu antara yang hadir maupun tidak hadir. Dari hasil klasifikasi pada metode C4.5 untuk mengklasifikasi status kehadiran dari dataset 1.700, diperoleh tingkat kebenaran sebesar 91,94% dan tingkat kesalahan sebesar 8,05%.
SISTEM PAKAR DIAGNOSA GANGGUAN KECEMASAN (ANXIETY DISORDER) MENGGUNAKAN METODE FORWARD CHAINING Muhammad, Khithoh Sabda; Fitrani, Arif Senja; Setiawan, Hamzah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 1 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i1.4441

Abstract

Gangguan kecemasan merupakan salah satu masalah kesehatan mental yang paling umum, kondisi ini dapat mengakibatkan kekhawatiran yang berdampak buruk pada rutinitas seseorang, menurunkan prestasi akademis, serta mengurangi kualitas hidup dan psikologis. Masyarat sering mengabaikan masalah kesehatan mental karena kurangnya pengetahuan dan keterbatasan fasilitas psikologis. Berdasarkan keterbatasan tersebut sistem pakar daharapkan mampu memecahkan masalah tersebut dengan melakukan konsultasi secara mandiri. Sistem pakar adalah sebuah sistem yang mengadopsi pengetahuan pakar sehingga dapat melakukan seperti yang dilakukan pakar. Dengan dibangunnya sistem pakar ini dapat membantu masyarakat untuk melakukan konsultasi di web secara secara mandiri tanpa harus ke tempat fasilitas psikologis. Sistem pakar ini menggunakan metode forward chaining dan dibuat dengan memanfaatkan bahasa pemrograman PHP dan MySQL sebagai database. Metode forward chaining diawali dengan sekumpulan fakta untuk menemukan ketentuan yang sesuai dengan prediksi yang mengarah kesimpulan. Hasil dari pengujian validitas aplikasi, sistem pakar ini memiliki nilai keakuratan sistem sebesar 100% dari 7 data uji.
RANCANG BANGUN MANAJEMEN DRIVER BERBASIS WEB DI PT. XXX Eriyanto, Sandi Eko; Eviyanti, Ade; Fitrani, Arif Senja; Indahyanti, Uce
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 1 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i1.4358

Abstract

PT. XXX merupakan perusahaan yang berdiri sejak 1989 di Surabaya dan memiliki 2 cabang yang berada di Surabaya dan Tange- rang. Perusahaan ini bergerak dibidang perdagangan mesin dan sparepart mesin diesel yang melayani penjualan toko diesel kecil yang tersebar diseluruh Indonesia, permasalahan yang terjadi adalah masih melakukan manajemen driver yang masih manual sehingga mendapat banyak kelu- han dari costumer dibidang pengiriman seperti pengiriman belum sampai kepada customer sedangkan driver sudah melakukan pengiriman sudah cukup lama dan masih menggunakan sistem report manual yang sering kali dapat dimanupulasi oleh beberapa oknum dimana barang yang seha- rusnya diantarkan kepada customer sering kali dijual sendiri oleh oknum tersebut, sehingga pada saat penghitungan stok digudang terjadi stok selisi yang mengakibatkan kerugian pada perusahaan dikarenakan tidak efisiennya manajemen driver di PT. XXX. Oleh karena itu dibutuhkan sistem informasi manajemen driver yang berfungsi sebagai sebuah sistem yang dapat mengatasi permasalah dari PT. XXX tersebut dengan terdapat fitur tracking dan bukti foto pengiriman yang dapat meminimalisir masalah tersebut terjadi kembali. Sistem Infor- masi ini di bangun menggunakan bahasa pemrograman PHP dengan da- tabase MySQL dengan menggunakan metode SDLC (Systems develop- ment life cycle) yaitu metode yang mengacu pada model dan proses yang digunakan untuk mengembangkan sistem perangkat lunak dan men- guraikan proses. Hasil dari penelitian ini adalah berupa website atau rancang bangun sistem manajemen driver berbasis web di PT. XXX. Sistem ini telah diuji kevalidasiaanya menggunakan pen- gujian Blackbox sehingga sistem layak untuk digunakan oleh admin dan user pada PT. XXX
Sentiment Analysis Before Presidential Election 2024 Using Naïve Bayes Classifier Based On Public Opinion In Twitter: Analisa Sentimen Jelang Pilpres 2024 Menggunakan Naïve Bayes Classifier Berdasarkan Opini Publik Di Twitter Prasetyo, Heri; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1395

Abstract

This study aims to determine the performance of the Naïve Bayes Classifier algorithm and sentiment analysis tested on a dataset obtained from Twitter social media scrapping with the topic of 2024 presidential candidates. Three candidates frequently discussed in public spaces were used as keyword parameters in data mining: #anis, #ganjar, and #pilpres2024, resulting in 3021 tweets extracted from 12/1/2022 to 31/1/2023, which were successfully converted to ".csv" format documents. Public opinions extracted from the dataset were then pre-processed using the Python programming language, resulting in 2157 cleaned tweets. The data that passed the pre-processing stage was then labeled as positive or negative sentiment. Sentiment analysis was performed using the Naïve Bayes Classifier algorithm with three testing experiments using different training and testing data compositions in each experiment. The results of the study showed that the best Naïve Bayes model was obtained in the first experiment with a 10% testing data and 90% training data composition, resulting in 71% accuracy, 93% precision, 66% recall, and an f-measure score of 77%. The conclusion of the study is that the electability of the 2024 presidential candidates shapes public opinion and generates public sentiment in the form of positive and negative tweets. Positive tweets had a higher percentage of 71.5% (1543), while negative sentiment tweets accounted for 28.5% (614). Further research is expected to produce different information by using different classification algorithms and larger data sets.