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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Informasi Galuh
Wahyu Christanto, Febrian
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Computer Science & IT

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IMPLEMENTASI REST API DAN YELLOW.AI UNTUK MENGURANGI JUMLAH TROUBLE TICKET DATA REKENING YANG BERULANG DENGAN CHATBOT TBIG OLIVE Tri Toto Wiharjianto, Muhammad; Khoirudin, Khoirudin; Wahyu Christanto, Febrian
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 1 (2024): JATI Vol. 8 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i1.7267

Abstract

Permasalahan berulangnya Trouble Ticket terkait data rekening menjadi beban bagi Helpdesk di PT Tower Bersama Group, mendorong penelitian ini. Tujuan utama adalah mengembangkan fitur perubahan data rekening pada Chatbot TBIG Olive dengan integrasi REST API dan Yellow.ai. Fokusnya adalah mengurangi jumlah tiket dan mempercepat proses administrasi karyawan. Metode penelitian mencakup implementasi fitur perubahan data rekening pada Chatbot TBIG Olive dengan memanfaatkan Yellow.ai dan REST API. Evaluasi dilakukan melalui kuesioner kepuasan pengguna. Hasil penelitian menunjukkan keberhasilan dengan penurunan 54,3% jumlah pengajuan perubahan data rekening, pemangkasan waktu rata-rata menjadi 1,9 jam, dan tingkat keberhasilan 89,3% melalui Chatbot. Implementasi REST API dan Yellow.ai pada Chatbot TBIG Olive terbukti efektif mengurangi jumlah Trouble Ticket terkait data rekening yang berulang serta signifikan mempercepat proses administrasi karyawan di perusahaan ini.
Implementasi Teknologi QR Code pada Sistem Absensi Karyawan Berbasis Website Nanda Aprillia, Monita; Wahyu Christanto, Febrian; Parga Zen, Bita; Maulana, Haisyam; Yudi Permana, Nana
Jurnal Sistem Informasi Galuh Vol 3 No 1 (2025): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v3i1.4445

Abstract

Traditional attendance systems face challenges related to their vulnerability to human error and limitations in management time. Using a QR Code provides attendance management and recording benefits. The problem that occurred at the Jati Mulya Shop in January - June 2024 was that there were 5 employees who manipulated attendance, causing losses.  Jati Mulya Shop is a fashion shop that has a good reputation and has quite a large number of employees located at Pasar Johar Semarang. The aim of this research is to implement web-based QR Code attendance. The data source in this research is primary data in the form of interviews with business owners. The system development method used is the Prototype model. Before implementing the QR code-based attendance system, Jati Mulya Shop experienced a loss of Rp. 2,810,000 per month, consisting of Rp. 2,500,000 due to absence without permission and Rp. 310,000 due to errors in recording absences. After implementing the new system, efficiency increased 100% so that the loss became Rp. 0. With the QR code system, unauthorized absences and errors in recording absences as well as financial losses are completely eliminated. The hope created by this system can make it easier for business owners to monitor employees and employees who are often absent will also be helped by this system.
Smart System Identifikasi Objek Menggunakan Kamera Esp32 dan OpenCV Dessy Rahmadani, Atika; Wahyu Christanto, Febrian; Umbu Tamu Ama, Aldian; Ahmad Firdaus, Eryan
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5571

Abstract

Technology used to help complete work is a must. In Buluroto Village, Blora there are 5 hamlets with 6357 residents. There are still many places with poor lighting, so theft still occurs frequently. Ordinary CCTV has difficulty distinguishing objects because of poor lighting, so a system is needed to identify objects with poor lighting. This system was created using Prototype development method with Esp32 Camera, Micro-USB Cable, Esp32-MB, and OpenCV. It was concluded that the smart object identification system was able to detect 20 objects in one frame and store 80 objects in the library. This system can work optimally with an accuracy level reaching 50% - 98%. The delay test results showed average time was 2.18 seconds and around 87.17% of random respondents agreed with this system because it can identify objects like humans, animals, moving and immovable objects well so it is hoped can increase the level of environmental safety.
Co-Authors Bita Parga Zen Dessy Rahmadani, Atika Eryan Ahmad Firdaus Khoirudin Khoirudin, Khoirudin Maulana, Haisyam Nanda Aprillia, Monita Tri Toto Wiharjianto, Muhammad Umbu Tamu Ama, Aldian Yudi Permana, Nana