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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Manutech : Jurnal Teknologi Manufaktur
Agus Urip Ari Wibowo
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementasi Voip Server Berbasis IPV6 Dengan Raspberry PI Rabbai San Arif; Yuli Fitrisia; Agus Urip Ari Wibowo
Manutech : Jurnal Teknologi Manufaktur Vol. 9 No. 01 (2017): Manutech : Jurnal Teknologi Manufaktur
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (852.125 KB) | DOI: 10.33504/manutech.v9i01.32

Abstract

Voice over Internet Protocol (VoIP) is a telecommunications technology that is able to pass the communication service in Internet Protocol networks so as to allow communicating between users in an IP network. However VoIP technology still has weakness in the Quality of Service (QoS). VOPI weaknesses is affected by the selection of the physical servers used. In this research, VoIP is configured on Linux operating system with Asterisk as VoIP application server and integrated on a Raspberry Pi by using wired and wireless network as the transmission medium. Because of depletion of IPv4 capacity that can be used on the network, it needs to be applied to VoIP system using the IPv6 network protocol with supports devices. The test results by using a wired transmission medium that has obtained are the average delay is 117.851 ms, jitter is 5.796 ms, packet loss is 0.38%, throughput is 962.861 kbps, 8.33% of CPU usage and 59.33% of memory usage. The analysis shows that the wired transmission media is better than the wireless transmission media and wireless-wired.
Object Detection and Monitor System for Building Security Based on Internet of Things (IoT) Using Illumination Invariant Face Recognition Chatisa, Ivan; Syahbana, Yoanda Alim; Wibowo, Agus Urip Ari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 1, February 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i1.1622

Abstract

Theft and intrusion are crimes that often occur in neighborhoods when there is opportunity or negligence by owners and security personnel. Many studies have been carried out to improve environmental security by applying cameras as a surveillance medium. However, the camera is not optimal in detecting objects when the lighting conditions are lacking. Therefore, in this study, a monitoring and object detection system was built by applying the Illumination Invariant model. This model is used to improve the appearance of the image from light and shadow reflections. The process of detecting and identifying objects is done by using human facial features (face detection) captured by the camera. The camera used is a Logitec C270 Webcam 720p which is connected via a USB port on the Raspberry Pi 4. The Raspberry Pi 4 processes human face image data and sends the processing results to a MySQL database using the HTTP protocol. Data transmission is done using the Python Flask web framework. The system was successfully run 100% by using black box testing of all functional requirements. Tests on the object detection feature were carried out based on different lighting conditions 15 times by comparing the original image and the results of the Illumination Invariant implementation. Based on the test results obtained object detection accuracy of 86.7%.
Peningkatan Akurasi Sistem Pemantauan Suhu Dan Kelembapan Pada Laboratorium Pengujian Benih Tanaman Menggunakan Inversi Regresi Linier Akbar, Memen; Susantok, Mochamad; Wibowo, Agus Urip Ari; Rahul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20251219083

Abstract

Laboratorium uji benih memerlukan informasi suhu dan kelembapan ruang untuk menjaga kualitas proses pengujian benih. Saat ini, laboran mencatat parameter lingkungan dua kali sehari pada pukul 9.00 dan 14.00 dengan menggunakan alat ukur terkalibrasi. Namun, metode ini tidak mencakup data di luar jam kerja atau pada hari libur, sehingga tidak memenuhi persyaratan pencatatan kontinu yang diwajibkan oleh Komite Akreditasi Nasional (KAN). Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas udara berbasis IoT yang mampu mencatat suhu dan kelembapan secara kontinu tanpa keterbatasan waktu serta memastikan akurasi data dengan mekanisme kalibrasi menggunakan metode inversi regresi linier. Sistem ini menampilkan data langsung pada layar OLED, menyimpan data di media microSD, dan mengunggahnya ke lembar kerja daring untuk pemantauan dan analisis lebih lanjut. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi pengukuran sebesar 98% untuk suhu dan 97% untuk kelembapan setelah menggunakan inversi regresi linier dengan menggunakan 15 data. Dengan demikian, sistem ini mampu menggantikan metode pencatatan manual yang terbatas dan memenuhi persyaratan pencatatan kontinu dari KAN.   Abstract Seed testing laboratories require temperature and humidity information to maintain the quality of seed testing processes. Currently, laboratory staff record environmental parameters twice daily at 9:00 AM and 2:00 PM using calibrated measuring instruments. However, this method does not cover data outside working hours or during holidays, thus failing to meet the continuous recording requirements mandated by the National Accreditation Committee (KAN). This study aims to develop an IoT-based air quality monitoring system capable of recording temperature and humidity continuously without time constraints while ensuring data accuracy through a calibration mechanism using the linear regression inversion method. The system displays real-time data on an OLED screen, stores data on a microSD card, and uploads it to an online spreadsheet for further monitoring and analysis. The test results show that the system achieves a measurement accuracy of 98% for temperature and 97% for humidity after applying the linear regression inversion method by using 15 data. Thus, the system can replace the limited manual recording method and meet the continuous recording requirements set by the KAN.
Co-Authors Akbar, Memen Arif Gunawan Chatisa, Ivan Khabzli, Wahyuni Mochamad Susantok Rabbai San Arif Rahayani, Rizki Dian Rahul Yoanda Alim Syahbana, Yoanda Alim Yuli Fitrisia