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All Journal Jurnal Ilmiah FIFO Jurnal CoreIT Faktor Exacta IKRA-ITH Informatika : Jurnal Komputer dan Informatika JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat Indonesia Journal of Students‘ Research in Computer Science (JSRCS) Bulletin of Information Technology (BIT) Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Journal of Informatics and Information Security

Hantoro, Kusdarnowo

Informatika; Universitas Bhayangkara Jakarta Raya

Author-ID : 2570700

Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document

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Detection of Certain Objects Wearing Masks in Real Time To Prevent the Spread of the Virus (Yolov3) Kusdarnowo Hantoro; Rusdianto Rustam; Amir Dahlan
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 8, No 2 (2022): December 2022
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

A significant increase in the spread of the corona virus (COVID-19) in the community is currently happening due to people not following the health protocol rules set by the ministry of health. One of the rules is to require people to wear masks while they are outside the home. Measures need to be implemented in anticipation of situations where people do not wear masks in public spaces. Therefore, the establishment of a mask detection system is chosen as a solution in order to solve the mentioned problem above. A real-time identification system for people wearing masks is proposed to be developed in this paper. The system utilizes Yolov3 with Darknet -53 as a deep learning mask detector and OpenCV as a real-time computer vision library, so that people doing activities in a public space captured by a video can be recognized and detected when they do not wear masks . In implementing deep learning, a data set of 4000 images is divided into two classes, i.e.,2000 images with masks f or data testing purposes and another 2000 images without masks for training custom objects. The Extreme Programming (XP) method as part of the Agile Process Model is adopted for system development. Computer language support and the latest system development tools have made it possible to utilize this method in an effort to develop this system rapidly. Requirement Analysis is conducted to obtain required processes before designing system. Writing code and testing the system will be the next step before the system is declared ready to be implemented in the public space. By adopting the XP development method, all of the above steps can be implemented repeatedly until the system delivers the expected results

Application Design of Optical Network Defect Tracking based on Location-Based Service Sutrisno, Eko Setyo; Hantoro, Kusdarnowo
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 6, No 2 (2020): Desember 2020
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

To maintain good service quality, network maintenance is needed. Device maintenance must be carried out as quickly and accurately if supported by an application device that can find the right location as fast as possible. Maintenance devises related to defective optical network cables, optical distribution point (ODP) panel, and ODC (Optical Distribution Cabinet) panel, to FTM (Fiber Termination Management) room. Through the three existing locations, maintenance technicians often difficulties to find the exact location of the ODC and to find out the status of the ports that are in the ODC. By utilizing features on mobile devices. LBS communicates from two-way interactions and can combine three technologies: Geographic Information System, Internet Service, and Mobile Device

Pengukuran Kinerja Jaringan IPTV Berbasis QoE 2. Menggunakan Metode ITU-T G1070 hantoro, kusdarnowo
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 5, No 2 (2019): Desember 2019
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Meningkatnya popularitas berbagai layanan video khususnya melalui layanan TV berbasis internet seperti IPTV telah membuat studi tentang Quality of Experience (QoE) menjadi penting. ITU-T G-1070 mendefinisikan QoE sebagai ukuran untuk mengevaluasi kualitas layanan seperti yang dirasakan oleh pengguna akhir. Berbagai faktor teknis dan non-teknis mempengaruhi ukuran kualitas baru ini. Di antara faktor-faktor ini adalah yang terkait dengan persiapan layanan, pengiriman dan presentasi ke public. Ini membuat tugas mempertahankan QoE pada tingkat yang dapat diterima menjadi tantangan. Arsitektur yang lebih menjanjikan diperlukan untuk memenuhi kepuasan pengguna dan menjaga minat penyedia layanan Model arsitektur berlapis diarahkan pada cakupan lapisan infrastruktur jaringan IPTV yang terdiri dari kesiapan layanan (headend), pengiriman (core network) dan presentasi layanan ke public (access network). Tingkat kualitas di tiap lapisan dinilai dari QoEnya. Pengujian dilakukan secara langsung (empiris) dengan cara mengalirkan video dengan bit rate antara 1000 hingga 8000 kbps. Pada masing-masing lapisan jaringan dilakukan pengukuran data-data QoS. Selanjutnya dihitung QoEnya menggunakan ITU-T G.1070 dan membanding-komputerkan video dengan hasil pengukuran ITU-T G.1070. Kontribusi dari makalah ini adalah untuk mengoptimalkan layanan streaming video secara empiris untuk antisipasi terhadap masalah degradasi QoE dalam jaringan dengan mengendalikan penerimaan di tiap lapisan.

Monitoring the pH and temperature of IoT-based fish farming using Arduino Kusdarnowo Hantoro
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 9, No 1 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

The Internet of Things (IoT) based intelligent Fish farming refers to the integration of various IoT devices and sensors into traditional fish farming practices to monitor and optimize various aspects of the fish farming environment such as water temperature, pH levels, oxygen levels, and feed schedules. This can help to improve the overall health and wellbeing of the fish, reduce waste, and increase productivity and efficiency. IoT devices can also be used to track the growth and health of individual fish, allowing farmers to make data-driven decisions about when to harvest or move fish to different tanks. The use of IoT technology can also help to detect potential health issues or environmental problems early on, allowing farmers to take preventative measures to minimize the impact on their fish. Overall, smart fish farming using IoT has the potential to revolutionize the way fish are farmed, making the process more sustainable, efficient, and profitable. The project focuses on an IoT-enabled smart fish farming system. In order to deal with them, the system is coupled with an irrigation system. Indonesia’s weather is erratic. This system's microcontroller is an Arduino ESP32. The temperature sensor DSb18B20 and the soil moisture sensor DF Robot are used to regulate the environment. Both a computer and a smartphone are used to display the results.

Co-Authors Achmad, Andi Ajif Yunizar Pratama Yusuf Amir Dahlan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Asep Ramdhani Asep Ramdhani Asep Ramdhani Mahbub Budiawan, Nadjib Kurnia Dery Ramadhan Dian Gustina Dian Hartanti Dwipa Handayani Hendarman Lubis Isnaini Rofi’ah Joniwarta Khaerudin Mahbub, Asep Mahbub, Asep Ramdhani Marni Ardilla Mugiarso Muhammad Khaerudin Rahmat Purnomo Ramdhania, Khairunisa Fadhilla Rasim Rasim Rasim Reinando Sihombing Rusdianto Roestam Satria, Bagus Iqbal Siti Setiawati Sri Rejeki Suryani, Rani Sutrisno, Eko Setyo Yanih Suyanih Yundari, Yundari

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