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Tendean, Sandi
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PENERAPAN SISTEM PENCARIAN DAN PEMINJAMAN BUKU BERBASIS ANDROID PADA SMP N 3 SUNGAI AMBAWANG Balbo, Florensius; Hoendarto, Genrawan; Tendean, Sandi
INTEKSIS Vol 11 No 1: Mei 2024
Publisher : LPPM Universitas Widya Dharma Pontianak

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Abstract

This application is built consisting of two sides, namely, Android-based application users or book borrowers and a website-based server for librarians as admins. The android application will be used by borrowers in searching and borrowing books online, using students' personal smartphones, while the website application will be used by librarians to record books in the school library. The process of searching for books can be done on the android application, while the process of borrowing books can be done if the borrower is already a member of the library. In order to become a member of the library, borrowers must enter their personal data on the register page. The process of borrowing books can be done if the book you are looking for is available in the school library. In the android application students can borrow books, then they can take books to the school library section and the admin will confirm the status of borrowing books. The process of fines for borrowers of books can be carried out if the borrower exceeds the borrowing time limit set by the school library administrator and the process of paying the fine is carried out by visiting the school library directly, as well as returning the books being borrowed. The admin will confirm on the website server application the total fines and the fine payment process can be carried out. Likewise with the process of confirming borrowing, returning and renewing books which can only be done by the library admin. Keywords: Design, Search, Loan, Android, Libraries
PERANCANGAN APLIKASI TES KEPRIBADIAN DISC DENGAN PENDEKATAN BERORIENTASI OBJEK Wenxi, Wenxi; Antonius, Antonius; Tendean, Sandi
INTEKSIS Vol 11 No 2: Nopember 2024
Publisher : LPPM Universitas Widya Dharma Pontianak

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Personality testing is an activity conducted by individuals to identify and obtain results about their personality traits. One method used for this purpose is the DISC method (Dominant, Influence, Steadiness, Compliance). Implementing this method in personality testing is expected to be beneficial in business, employment, and organizational. Moreover, companies may consider using this test when recruiting employees. The rapid advancement of technology and the widespread use of Android-based mobile devices, reaching 79.96% in 2022, alongside the previously manual administration of personality tests, are primary factors driving the development of a mobile personality test application using the DISC method. This application is designed as a questionnaire to be filled out by individuals, and upon completion, the results will be immediately displayed to them. To enhance the test results, the application will provide general information about the characteristics, common traits, and example jobs associated with each personality type based on the DISC theory. This information aims to help individuals expand their understanding, knowledge, and application of the DISC method across various domains, including education, employment, organizations, and personal development. Additionally, the application implements the Linear Congruential Generator (LCG) as a randomization algorithm for the questionnaire, ensuring that each individual receives unique questions. Keyword: Personality test, DISC, Java, Android, Linear Congruential Generator
PERANCANGAN APLIKASI PRESENSI KODE QR SEBAGAI PENDUKUNG SISTEM PENGGAJIAN UNTUK MANAJEMEN UMKM Edryan, Darwin; Tendean, Sandi; Darmianto , Amok
INTEKSIS Vol 11 No 2: Nopember 2024
Publisher : LPPM Universitas Widya Dharma Pontianak

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Small Medium Enterprise (SME) frequently still use manual recording to manage staff attendance and payroll, which leads to errors and inefficiencies. The goal of this research is to create a mobile web payroll system that is integrated with an Android application based on QR codes to enhance the accuracy and efficiency of payroll processing for employees of small and medium-sized businesses. The attendance application was developed in Android Studio with the Java programming language, while the payroll system was developed with HTML, CSS, and JavaScript. A cloud-based database platform called Firebase is utilized. This research uses the Unified Modeling Language (UML) modeling method. The attendance application is able to record employee attendance automatically through QR code scanning. The payroll system provides full control for SME owners, allowing the process of controlling, monitoring, and printing accurate attendance and payroll reports. The use of this attendance application and payroll system will reduce manual errors, improve operational efficiency, and provide real-time control to SME owners. The integration of the attendance application and employee payroll system is very important to improve the competitiveness and adaptability of SMEs in the digital era. Keywords— SME, QR code, Attendance recording, Employee payroll
PENERAPAN METODE SUPPORT VECTOR MACHINE PADA APLIKASI DETEKSI TINGKAT KESEGARAN IKAN Carolina, Maria; Tendean, Sandi; Krisyesika, Krisyesika
INTEKSIS Vol 11 No 2: Nopember 2024
Publisher : LPPM Universitas Widya Dharma Pontianak

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Abstract

Indonesia is the second largest producer of marine fish in the world based on data from the Food and Agriculture Organization 2022. Fish is a food that contains excellent protein, fat, vitamins, and minerals. According to data from the Ministry of Marine Affairs and Fisheries, the national fish consumption rate continues to increase, reaching 57.27 kg/capita in 2022. Therefore, it is important to know which fish are fresh and suitable for consumption. In this research, fish freshness detection will be carried out using the Support Vector Machine (SVM) method. The detection process will be carried out using three classes, namely fresh, not fresh, and rotten. SVM is a linear classifier, but it is developed to work on nonlinear data with the concept of kernels in a high-dimensional workspace. The results of testing the SVM model show that the accuracy of the model with the Radial Basic Function (RBF) kernel produces 99 percent accuracy with parameters C = 10 and gamma = 0.5. Application testing using two smartphones with four tests resulted in 92 percent accuracy. Keywords: Support Vector Machine, Fish Freshness Detection, Web, Machine Learning
Deteksi Kebakaran Dalam Ruangan Menggunakan Internet Of Things Gunawan; Hoendarto, Genrawan; Tendean, Sandi
INTEKSIS Vol 12 No 1: Inteksis Vol. 12 No. 1
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15621215

Abstract

Penelitian ini bertujuan untuk mengimplementasikan teknologi Internet of Things (IoT) dalam mendeteksi kebakaran secara otomatis di dalam ruangan. Penerapan sistem deteksi kebakaran berbasis IoT bertujuan untuk meningkatkan respons terhadap insiden kebakaran dengan memberikan peringatan dini. Sistem ini menggunakan sensor suhu, sensor asap, dan modul komunikasi untuk mendeteksi parameter yang menunjukkan potensi kebakaran. Data yang diperoleh dari sensor dikirimkan secara real-time melalui jaringan IoT ke platform monitoring dan notifikasi, yang memungkinkan pengguna mendapatkan informasi melalui perangkat seluler. Metode penelitian melibatkan perancangan perangkat keras, pengembangan perangkat lunak, dan pengujian sistem di lingkungan simulasi. Hasil pengujian menunjukkan bahwa sistem dapat mendeteksi potensi kebakaran dengan cepat dan mengirimkan peringatan secara cepat. Implementasi teknologi ini memberikan kontribusi signifikan dalam mengurangi risiko kebakaran dan kerugian material, terutama di lingkungan yang memerlukan pengawasan ketat. Kesimpulan menunjukkan bahwa teknologi IoT menawarkan solusi inovatif dan efisien untuk mendukung sistem deteksi kebakaran berbasis teknologi modern.
Rancang Bangun Sistem Informasi Arsip Surat Masuk Dan Keluar Berbasis Web Pada Kantor Desa Hibun Kecamatan Parindu Aldo Anderson, Pandrian; Tendean, Sandi; Hendro, Hendro
INTEKSIS Vol 12 No 1: Inteksis Vol. 12 No. 1
Publisher : LPPM Universitas Widya Dharma Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15621268

Abstract

Kantor Desa Hibun di Kecamatan Parindu, Kabupaten Sanggau, Provinsi Kalimantan Barat, menghadapi tantangan dalam pengelolaan arsip surat masuk dan keluar. Selama ini, proses pengarsipan dilakukan secara manual menggunakan buku catatan arsip tanpa dukungan sistem basis data, sehingga menyulitkan dalam pencarian serta pelacakan dokumen secara cepat, terutama ketika terjadi perubahan atau pembaruan data yang mendesak. Hal ini menyebabkan keterlambatan dan ketidakefisienan dalam pengelolaan arsip surat di desa. Penelitian ini menggunakan metode kualitatif dengan teknik pengumpulan data berupa observasi, wawancara, serta studi literatur. Pemodelan sistem yang diusulkan dirancang menggunakan Unified Modeling Language (UML), dan pada tahap pengembangan, digunakan bahasa pemrograman HTML, CSS, JavaScript, PHP, serta MySQL sebagai sistem manajemen basis data. Sistem informasi yang dirancang mencakup fitur-fitur penting, termasuk pencatatan dan pengarsipan surat masuk dan keluar, pengelolaan data surat, serta laporan terkait aktivitas surat-menyurat. Dengan penerapan sistem ini, diharapkan dapat meningkatkan efisiensi dan akurasi dalam proses pengarsipan di Kantor Desa Hibun, sekaligus memperbaiki manajemen dokumen yang selama ini menjadi hambatan dalam operasional kantor.
Co-Authors Aldo Anderson, Pandrian Antonius Antonius Balbo, Florensius Darmianto , Amok Darmianto, Amok Edryan, Darwin Genrawan Hoendarto Gultom, Eva Gultom, Manorang Gunawan Hendro Hendro, Hendro Jimmy Iskandar, Riyadi Jimmy Tjen Kartono, Kartono Krisyesika, Krisyesika Laurensa, Ayu Maria Carolina Wenxi, Wenxi Willim, Andre Prasetya