Fruit ripeness is an important thing in agriculture because it determines the fruit's quality. Determining the ripeness of the fruit that was done manually poses several weaknesses, such as takes a relatively long time, requires a lot of labor, and can cause inconsistencies. The agricultural sector is one of the important sectors of the economy in Indonesia. However, sometimes the process of determining fruit ripeness is still done by using the manual method. The development of computer vision and machine learning technologies can be used to classify fruit ripeness automatically. This study applies the Convolutional Neural Network to classify the ripeness of the banana. The banana's ripeness is divided into four classes: unripe/green, yellowish-green, mid-ripen, and overripe. Two pre-trained models are used, which are MobileNet V2 and NASNetMobile. The experiment was conducted using Google Colab and several libraries such as OpenCV, Tensorflow, and scikit-learn. The result shows that MobileNet V2 achieves higher accuracy and faster execution time than the NASNetMobile. The highest accuracy achieved is 96.18%.
Student attendance is essential in the learning process. To record student attendance, several ways can be done; one of them is through student signatures. The process has several shortcomings, such as requiring a long time to make attendance; the attendance paper is lost, the administration must enter attendance data one by one into the computer. To overcome this, the paper proposed a web-based student attendance system that uses face recognition. In the proposed system, Convolutional Neural Network (CNN) is used to detect faces in images, deep metric learning is used to produce facial embedding, and K-NN is used to classify student's faces. Thus, the computer can recognize faces. From the experiments conducted, the system was able to recognize the faces of students who did attend and their attendance data was automatically saved. Thus, the university administration is alleviated in recording attendance data.
Face recognition is one of the interesting research topics in the field of computer vision. In recent years, deep learning methods, especially the Convolutional Neural Network, have progressed. One of the successes of CNN is in face recognition. Face recognition by computer is a technique done so that the computer can automatically recognize faces in an image. Various researchers have conducted related research on facial recognition. This survey presents researches related to face recognition based on Convolutional Neural Network that has been conducted. The studies used are studies that have been published in the last five years. It was performed to determine the renewal that emerged in face recognition based on Convolutional Neural Network. The basic theory of the Convolutional Neural Network, face recognition, and description of the database used in various researches are also discussed. Hopefully, this survey can provide additional knowledge regarding face recognition based on the Convolutional Neural Network.
The presence of students is one of the important things in lecture activities. Student attendance data can be used as an indicator of student discipline and as a determinant of student eligibility to take the exam. The recording of student attendance at Universal University is still done manually by signing the attendance register document. The problem that arises from using the manual method is that a student can sign the attendance of other students, requires supervision, and burdens the administration in managing attendance data. Therefore, this study proposes the design and implementation of a student attendance application using the X100-C fingerprint machine. The application made is presented in the form of a web-based application. Through the attendance application, admin work is helped and minimizes fraud that arises from recording attendance manually using paper. Keywords: Attendance Application; Fingerprint; X100-C Machine Abstrak: Kehadiran mahasiswa menjadi salah satu hal penting dalam kegiatan perkuliahan. Data kehadiran mahasiswa dapat digunakan sebagai indikator kedisiplinan mahasiswa serta sebagai penentu kelayakan mahasiswa dalam mengikuti ujian. Pencatatan kehadiran mahasiswa di Universitas Universal hingga kini masih dilakukan secara manual dengan menandatangani dokumen daftar hadir. Permasalahan yang timbul dari penggunaan cara manual tersebut adalah seorang mahasiswa dapat menandatangai kehadiran mahasiswa lain, membutuhkan pengawasan, dan membebani pihak administrasi dalam mengurus pendataan kehadiran. Oleh karenanya, penelitian ini mengajukan rancangan serta implementasi sebuah aplikasi kehadiran mahasiswa menggunakan mesin fingerprint X100-C. Aplikasi yang dibuat disajikan dalam bentuk aplikasi berbasis web. Melalui aplikasi kehadiran tersebut, pekerjaan admin menjadi terbantu dan meminimalkan kecurangan yang muncul dari pencatatan kehadiran secara manual menggunakan kertas. Kata kunci: Aplikasi Kehadiran; Fingerprint; Mesin X100-C
Manajemen proyek merupakan kegiatan mengorganisir, memimpin dan mengendalikan sumber daya perusahaan untuk mencapai tujuan yang diinginkan. PT.Sintech Berkah Abadi sangat membutuhkan sistem tersebut untuk menunjang dan meningkatkan pelayanan baik untuk kepuasan karyawan maupun pelanggan dalam proses kegiatan proyek perusahaan mereka. Sebuah perusahanan yang bergerak di bidang penyedia perangkat lunak di pasar global, memberikan solusi bisnis dan berteknologi ini, dalam menjalankan aktivitasnya mengalami berbagai macam kendala saat proses pengolahan data, di antaranya terjadi kesalahan atau kehilangan data dengan berbagai alur yang dilewati seperti pembuatan permohonan, pengolahan data, proses persetujuan serta sampai pada pembuatan laporan proyek. Dengan hal tersebut dibutuhkannya sebuah aplikasi sistem manajemen proyek berbasis web pada PT.Sintech Berkah Abadi. Metode pengumpulan data yang dipergunakan dalam melakukan penelitian ini adalah observasi, wawancara dan studi pustaka, sedangkan metode analisis yang digunakan adalah SWOT. Dengan adanya aplikasi sistem manajemen proyek ini dapat menjadikan solusi pada perusahaan, pekerjaan pada perusahaan ini dapat menjadi lebih efektif dan efisien.
The vehicle washing application using mobile is an application that aims to help users make it easier for users to order vehicle washing services online. This app was designed to make it easy for users to use and to allow them to send vehicle wash notifications whenever and wherever they want using a mobile device. Ordering Features: This application has several main features, namely Ordering Features: Users can order vehicle washing services easily through this application. They only need to choose the type of car they want, the services they want, and the time and place where they want to work. Integration Payment: This application is equipped with an online payment system, which allows easy and secure payments through the application. Feature Order Tracking: Users can monitor the status of their orders through the application, namely when the order will be picked up, the vehicle washing process, and when the order will be completed and will be completed. This application is equipped with a good and secure data management system, so that user data and orders can be accessed easily and protected from unwanted actions. Vehicle washing using mobile applications can provide many benefits for users, such as user convenience and satisfaction, time and cost efficiency, and ease of finding information. Because of this, app development must begin with a focus on the most important features that users require and end with a positive user experience. Keywords: application; android; m-wash; mobile; vehiclewash. Abstrak: Aplikasi cuci kendaraan menggunakan mobile merupakan aplikasi yang bertujuan untuk membantu pengguna dalam mempermudah pengguna dalam memesan jasa cuci kendaraan secara online. Aplikasi ini dirancang untuk memudahkan pengguna dalam menggunakan dan memungkinkan mereka mengirim notifikasi cuci kendaraan kapan pun dan di mana pun mereka mau menggunakan perangkat seluler. Fitur Pemesanan : Aplikasi ini memiliki beberapa fitur utama yaitu Fitur Pemesanan : Pengguna dapat memesan jasa cuci kendaraan dengan mudah melalui aplikasi ini. Mereka hanya perlu memilih jenis mobil yang diinginkan, layanan yang diinginkan, serta waktu dan tempat di mana mereka ingin bekerja. Pembayaran Integrasi: Aplikasi ini dilengkapi dengan sistem pembayaran online, yang memungkinkan pembayaran mudah dan aman melalui aplikasi. Fitur Order Tracking: Pengguna dapat memantau status pesanannya melalui aplikasi, yaitu kapan pesanan diambil, proses pencucian kendaraan, dan kapan pesanan selesai dan akan diselesaikan. Aplikasi ini dilengkapi dengan sistem pengelolaan data yang baik dan aman, sehingga data dan pesanan pengguna dapat diakses dengan mudah dan terlindungi dari tindakan yang tidak diinginkan. Pencucian kendaraan menggunakan aplikasi mobile dapat memberikan banyak manfaat bagi pengguna, seperti kenyamanan dan kepuasan pengguna, efisiensi waktu dan biaya, serta kemudahan dalam mencari informasi. Oleh karena itu, pengembangan aplikasi harus dimulai dengan fokus pada fitur paling penting yang dibutuhkan pengguna dan diakhiri dengan pengalaman pengguna yang positif. Kata kunci: aplikasi; android; m-wash; mobile; cuci kendaraan.
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