cover
Contact Name
Awang Pradana
Contact Email
awang.pradana@borneo.ac.id
Phone
+6285328066644
Journal Mail Official
jbit@borneo.ac.id
Editorial Address
Jalan amal lama no 1 tarakan timur
Location
Kota tarakan,
Kalimantan utara
INDONESIA
Jurnal Borneo Informatika dan Teknik Komputer (JBIT)
ISSN : 28088190     EISSN : 28086600     DOI : https://doi.org/10.35334/jbit.v1i1
Jurnal Borneo Informatika dan Teknik Komputer (JBIT) (P-ISSN: 2808-8190, E-ISSN: 2808-6600) is a forum for academics and practitioners to publish scientific papers, research results, literature, and analytical studies that focus on the fields of computer science and computer engineering. JBIT is published regularly twice a year in April and October by the Computer Engineering Department, Faculty of Engineering, Universitas Borneo Tarakan with 5 articles in each issue. The focus and scope of this journal is research and studies on the latest issues related to the field of computer science and computer engineering for the development of border areas and tropical marine resources. The following is an explanation related to the JBIT field: IoT and Embedded System, Robotics, Biomedical Engineering, Digital Networking and Multimedia, Information System, Cloud Computing, Machine Learning, Computer Vision, Data Mining, Information Retrieval, Digital Signal Processing, Human Computer Interaction, Image Processing, Mobile Computing, Augmented Reality, Web Technologies, Network Security and Cryptography, Computing Languages and Algorithms. The manuscripts submitted must be up-to-date articles and will be selected through a peer-reviewers process
Articles 33 Documents
Rancang Bangun Smartbox Penerimaan Paket Cash on Delivery dan Monitoring Kapasitas Berbasis Internet of Things Widodo, Sri; Harto, Dedy
Jurnal Borneo Informatika dan Teknik Komputer Vol 5, No 2 (2025): Edisi Oktober - Maret
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v5i2.6911

Abstract

Abstract: The growth of e-commerce has increased the demand for secure and efficient package delivery systems, especially for Cash on Delivery (COD) transactions. This study designs and implements an Internet of Things (IoT)-based Smartbox capable of automatically receiving and monitoring packages without the recipient's direct presence. The system uses an ESP32 as the main controller, a load cell sensor to measure package weight, an ultrasonic sensor to detect package height, and an ESP32-CAM to document the package and courier through photographs. Control and monitoring are carried out via the Blynk IoT application, which displays real-time data on package weight, height, and box capacity. Additionally, delivery documentation including photos and package information is automatically uploaded to Google Drive for easy access and verification. Test results show that all system components function accurately and are well-integrated under real-world conditions. This Smartbox system offers an innovative solution to enhance the security and convenience of COD-based package deliveries.Abstrak: Perkembangan e-commerce mendorong kebutuhan akan sistem penerimaan paket yang aman dan efisien, terutama untuk transaksi Cash on Delivery (COD). Penelitian ini merancang dan mengimplementasikan Smartbox berbasis Internet of Things (IoT) yang mampu menerima dan memantau paket secara otomatis tanpa kehadiran langsung penerima. Sistem ini menggunakan ESP32 sebagai pusat kendali, sensor load cell untuk mengukur berat paket, sensor ultrasonik untuk mendeteksi tinggi paket, serta ESP32-CAM untuk mendokumentasikan paket dan kurir melalui foto. Proses kendali dan monitoring dilakukan melalui aplikasi Blynk IoT yang menampilkan data berat, tinggi, dan kapasitas box secara real-time. Selain itu, dokumentasi pengiriman berupa foto dan informasi paket secara otomatis diunggah ke Google Drive untuk kemudahan akses dan verifikasi. Hasil pengujian menunjukkan bahwa semua komponen sistem bekerja secara terintegrasi dan akurat, serta dapat berfungsi dengan baik dalam kondisi nyata. Sistem Smartbox ini dapat menjadi solusi inovatif untuk menunjang keamanan dan kenyamanan pengiriman paket berbasis COD.Kata kunci: Cash on Delivery, Internet of Things, Smartbox, Sistem Monitoring.
Perancangan Sistem Autonomous Drone Quadcopter dengan Sistem Waypoint Taufiqurrohman, Muhammad; Sitepu, Rasional; Widiyanto, Sinung; Ramadhon, Moch. In'am Zayyid
Jurnal Borneo Informatika dan Teknik Komputer Vol 5, No 2 (2025): Edisi Oktober - Maret
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v5i2.6910

Abstract

The development of quadcopter drone technology has progressed rapidly and has been utilized in various fields, including mapping, agriculture, surveillance, and scientific research. In the academic environment, drones play a role not only as objects of study, but also as a medium for learning and developing automated system technology. To support this, a flexible and autonomous drone platform is needed. ArduPilot as an open-source autopilot software, together with the Pixhawk flight controller, is a widely used solution because it supports various features such as waypoint navigation, auto takeoff, and return to launch. The system enables open, modular, and integrative development of UAVs with various sensors. This research aims to design and implement an autonomous quadcopter drone prototype based on ArduPilot and Pixhawk as a means of supporting research and practicum in the campus environment, in order to encourage cross-disciplinary collaboration and readiness to face the industrial era 4.0 and society 5.0.
Rancang Bangun Prototype Sistem Penyortir Warna Pada Buah Tomat Berbasis Arduino Nugraha, Syaiful; Anwar, Anwar; Prayitno, Agung; Istanto, Teddy
Jurnal Borneo Informatika dan Teknik Komputer Vol 5, No 2 (2025): Edisi Oktober - Maret
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v5i2.7018

Abstract

Manual sorting of tomatoes based on visual ripeness assessment

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