Generation Journal <p>Generation Journal is a scientific journal that presents original articles about knowledge and research information or application of current research and development in the field of technology. Scope of Generation Journal in the field of Informatics Covers Big Data, Decision Support System, Network, Multimedia, Image, NLP This journal is a means of publication and event to share his research and development work in the field of technology. Loading articles in this journal are addressed to the editor's office. Complete information for article creation and article writing instructions is available in every issue. Incoming articles will go through the selection process of bestari partners and / or editors. Generation Journal published 2 times a year, in January and July. Generation Journal Registered at PDII LIPI with e-ISSN number: 2549-2233 p-ISSN: 2580-4952. For practitioners, academics and students in the field of Informatics, Multimedia, and Electrical Engineering who want article research results and ideas published in this journal through online registration. If there is any Difficulty in Submit Journal Please Contact the contact person below Risky Aswi Ramadhani: 085736745010</p> en-US <p>Authors who publish with this journal agree to the following terms: <br>1. Copyright on any article is retained by the author(s).<br>2. The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. <br>3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.<br>4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.<br>5. The article and any associated published material is distributed under the&nbsp;<a href="" rel="license">Creative Commons Attribution-ShareAlike 4.0 International License</a></p> (Resty Wulanningrum) (Risky Aswi Ramadhani) Wed, 19 Jul 2023 00:00:00 +0700 OJS 60 Sistem Pakar Penyakit Telinga Menggunakan Metode Naïve Bayes <p><em>An expert system is a type of artificial intelligence application that is used to tackle complex problems that require specialized knowledge. Expert systems can be used in a variety of disciplines, including healthcare, finance, and manufacturing. The aim of this study was to apply the Nave Bayes approach in a website-based ear illness diagnostic system and to determine its accuracy in an expert system for diagnosing ear disease. The naive Bayes approach is implemented in this research because it may assume that each symptom is independent of one another and can thus be used to assess the probability of a condition based on the symptoms that emerge. The results of this study show that the expert system for diagnosing ear disease using the Nave Bayes method is built on a website using the PHP programming language and the database maintained by MySQL, and this application has been tested 10 times, with 9 test data appropriate and 1 test data not appropriate. As a result of testing this application, the accuracy value obtained is 90%.</em></p> Putri Septiani Indah Pratiwi, MGhofar Rohman, Miftahus Sholihin Copyright (c) Wed, 19 Jul 2023 14:17:31 +0700 Perancangan Sistem Informasi Pada UMKM Ikan Hias Nusatic <p><em>In the trading business world, namely the business of selling a product, many obstacles are found in processing data such as incoming and outgoing goods, because there are still companies that use manual systems that have not been computerized, the data processing system in the business world today is one of the most dominant problems in the business sector engaged in community services. This research aims to simplify the decision-making process so that it can utilize more effective and efficient cost, effort, and time in Nusatic UMKM. By using the prototype method to realize the desired software model, this application can simplify administrative activities which include sales data, purchasing data, and delivery in stages starting from the registration process to payment transactions.</em></p> Muhammad Hilmy Adhiansyah, Sukanta Sukanta Copyright (c) 2023 Muhammad Hilmy Adhiansyah, Sukanta Sukanta Wed, 19 Jul 2023 00:00:00 +0700 Analisa Prediksi Harga Saham Menggunakan Neural Network Dan Net Foreign Flow <p>Saham merupakan bukti kepemilikan sebuah perusahaan, dengan memiliki saham berarti menjadi bukti bahwa kita menjadi pemilik perusahaan yang sahamnya kita miliki. Saham juga merupakan salah satu bentuk invetasi yang banyak diminati oleh masyarakat. Keuntungan memiliki saham adalah saham tersebut dapat diperdagangkan (jual dan beli) sehingga kita mendapatkan keuntungan (<em>capital gain</em>) dan <em>deviden</em> (jika saat pembagian deviden kita masih memiliki saham tersebut). Ketepatan waktu membeli, harga beli, waktu penjualan saham dan harga jual adalah faktor terpenting untuk memutuskan pembelian dan penjualan saham sehingga akan didapatkan hasil keuntungan (<em>capital gain</em>) di dalam berinvestasi di bursa saham. Dengan menggunakan algortima <em>Neural Network</em> untuk memprediksi harga saham dan varibel <em>net foreign flow</em> untuk mendapatkan hasil prediksi harga saham yang tepat dan dapat digunakan untuk berinvetasi. Data yang digunakan adalah data harian saham bank BCA (BBCA) periode 28 Maret 2022 sampai dengan 27 Maret 2023. Data diproses dengan menggunakan perangkat lunak <em>RapidMiner </em>dan didapatkan hasil prediksi harga saham &nbsp;dengan varibel <em>net foreign flow</em> memiliki hasil evalusi RMSE paling kecil yaitu 41.119 bila dibandingkan dengan hasil evalusi dengan menggunakan data varibel-variabel lainnya (data harga saham penutupan, volume). Dengan hasil RMSE yang kecil maka prediksi harga saham menggunakan <em>net foreign flow </em>berarti <em>net foreign flow </em>mempunyai pengaruh yang baik untuk memprediksi harga saham dan dapat digunakan sebagai alat (<em>tools</em>) untuk memprediksi harga saham.</p> <p style="font-weight: 400;"><strong><em>Kata Kunci </em></strong><em>— prediksi harga saham, neural network, net foreign flow dan RMSE</em></p> Daniel Saputro, Daniel Swanjaya Copyright (c) 2023 Daniel Saputro, Daniel Swanjaya Wed, 19 Jul 2023 00:00:00 +0700 Monitoring Peringatan Dini Kebakaran Pada Sistem Smart Home Menggunakan NodeMcu Berbasis IoT <p><strong><em>Abstract – </em></strong><em>One of the most frequent disasters in Indonesia is fire. There are situations where homeowners are not aware that their house is on fire, such as when the owner is not home or at night when the owner is sleeping. Lack of information regarding the condition of a house that has caught fire can result in enormous material losses or can endanger a person's life if the fire is not resolved immediately. In this case, it is necessary to have a monitoring system that can provide information regarding the presence of early fire symptoms that can be accessed anytime and anywhere. This system will later be able to display fire, smoke, and temperature values from sensor readings that have been stored in the Firebase Realtime Database which will later be displayed on Mobile Apps. If there is a fire there will be a warning in the form of a buzzer and notification on the smartphone and the system will spray water through the waterpump. The results of this study are a fire early warning monitoring system on a smart home system using Internet of Things (IoT) based NodeMcu. It is hoped that this system can reduce or minimize the occurrence of fires and losses due to fires.</em></p> Wahyu Kuncoro, Joni Maulindar, Ratna Puspita Indah Copyright (c) 2023 Wahyu Kuncoro, Joni Maulindar, Ratna Puspita Indah Wed, 19 Jul 2023 14:37:42 +0700 Klasterisasi Hasil Belajar Matematika dengan Algoritma K-Means Clustering <p><em>Mathematics has an important role in the computer field and provides a theoretical foundation for people working in the computer field. The facts show that in the Informatics Engineering study program, Unisba Blitar, the selection of specializations is carried out without considering the grades of courses that teach basic mathematical skills. In fact, mathematical ability is needed by a computer expert. For this reason, research was conducted that aimed to cluster student mathematics learning outcomes. Clustering was carried out on 51 students in semester 4, through the application of the K-means clustering algorithm. The attributes used are school origin data, majors currently in high school, and student learning outcomes in informatics logic, statistics, computational mathematics, and advanced computational mathematics courses. The results show that through clustering with the K-Means Clustering algorithm, 5 clusters are obtained, starting from the highest average score, namely cluster 2 with a value of 86.81 and the lowest average value is cluster 5 with a value of 76.50. In cluster 2, it is dominated by students from SMK graduates majoring in TKJ. Meanwhile, cluster 5 was dominated by students from high school graduates majoring in natural sciences. In addition, there are findings indicating that vocational high school graduates do not always have lower mathematical abilities than high school graduates, because intrinsic motivation also influences the level of learning outcomes.</em></p> Filda Febrinita, Wahyu Puspitasari, Wahid zaman Copyright (c) 2023 Filda Febrinita, Wahyu Puspitasari, Wahid zaman Wed, 19 Jul 2023 00:00:00 +0700 Sistem Informasi Pada UMKM Kedai Jalinan Coffee <p><em>Sistem informasi merupakan faktor penting dalam suatu sistem penjualan, terutama bagi UMKM (Usaha Mikro Kecil Menengah) yang memiliki tingkat rutinitas yang tinggi dan memerlukan pengelolaan data yang termanajemen. &nbsp;Pentingnya sistem informasi bagi perusahaan adalah untuk mempermudah aktivitas pekerjaan informasi yang baik bagi konsumen, pemilik atau karyawan. Karena Jalinan Coffee adalah kedai baru, maka sistem informasi yang digunakan pun masih tergolong sederhana. Oleh karena itu coffeshop ini membutuhkan beberapa sistem informasi yang akan digunakan untuk memudahkan pendataan proses penjualannya. Metode pengembangan sistem yang dipakai pada penelitian ini yaitu metode pengembangan sistem model Prototype, dengan adanya sistem informasi, maka pengelolaan data persediaan kopi serta penjualan menjadi lebih tertata, sistem informasi persediaan yang tersedia menjadi lebih akurat. Sehingga dalam dapat membantu pemilik Jalinan Coffee And Eatery mengelola operasi penjualan sehari-hari.</em></p> Ahmad Wafiq, Ade Momon Copyright (c) 2023 Ahmad Wafiq, Ade Momon Wed, 19 Jul 2023 00:00:00 +0700 Penerapan Teknologi Virtual Tour untuk Pengembangan Media Promosi Kampus Berbasis Web <p><em>Pandemi covid-19 telah menjadikan sebuah era perubahan di mana segala aktifitas dilakukan secara terbatas dan mematuhi protokol kesehatan. Covid 19 merupakan sebuah penyakit yang disebabkan oleh infeksi virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Oleh karena itu, kita harus mematuhi protokol kesehatan sesuai himbauan dari pemerintah supaya kita terhindar dari covid 19. Sebagai perguruan tinggi yang baru tentunya Akademi Komunitas Negeri Putra Sang Fajar Blitar (AKB) memiliki beberapa keterbatasan. Capaian target mahasiswa saat ini masih belum optimal. Salah satu cara untuk meningkatkan jumlah mahasiswa baru adalah dengan melakukan promosi. Virtual tour merupakan salah satu alternatif yang dapat menjadi alternatif dalam promosi kampus AKB yaitu dengan mengenalkan fasilitas kampus dan lingkungan kampus kepada calon mahasiswa. Calon mahasiswa nantinya dapat melihat semua fasilitas kampus baik ruangan, laboratorium, parkir, dan lain sebagainya melalui dunia virtual atau dunia maya. Penelitian ini bertujuan untuk mengimplementasikan teknologi virtual tour berbasis website sebagai media pengenalan fasilitas kampus AKB atau media promosi kampus AKB. Penelitian ini menggunakan metode MDLC dengan tahapain yaitu Concept, Design, Material Collecting, Assembly, Testing, dan Distribution. Berdasarkan hasil pengujian, semua menu dan hotspot yang telah dibuat berjalan sesuai dengan skenario.</em></p> Rafika Akhsani, Ismanto Ismanto, Moch. Kholil Copyright (c) 2023 Rafika Akhsani, Ismanto Ismanto, Moch. Kholil Mon, 31 Jul 2023 00:00:00 +0700 Perbandingan Performa Algoritma KNN dan SVM dalam Klasifikasi Kelayakan Air Minum <p><em>Air menjadi kebutuhan mendasar bagi kelangsungan makhluk hidup dan pembangunan. Saat ini, kesadaran masyarakat terhadap pola konsumsi air yang berkualitas dan bermutu semakin tinggi sehingga diperlukan penelitian terhadap kelayakan air. Dalam penelitian air tersebut menggunakan metode klasifikasi objek. Pada penelitian ini membahas perbandingan antara 2 metode Machine Learning yaitu K-Nearest Neighbors (K-NN) dengan Support Vector Machine (SVM) berdasarkan parameter yang telah ditentukan. Penelitian ini menghasilkan tingkat akurasi algoritme K-Nearest Neighbors (K-NN) sebesar 65,341% dan algoritme Support Vector Machine (SVM) menghasilkan akurasi sebesar 69,764%. Dari hasil tersebut, dapat disimpulkan bahwa algoritme Support Vector Machine (SVM) memiliki akurasi lebih tinggi daripada algoritme K-Nearest Neighbors (K-NN).</em></p> Sopiatul Ulum, Rizal Fahmi Alifa, Putri Rizkika, Chaerur Rozikin Copyright (c) 2023 Sopiatul Ulum, Rizal Fahmi Alifa, Putri Rizkika, Chaerur Rozikin Mon, 31 Jul 2023 00:00:00 +0700