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Journal : Journal of Information Technology and its Utilization

ANALISIS KUALITAS LAYANAN PENYIMPANAN CLOUD PADA NEXTCLOUD DAN PYDIO Lalu Delsi Samsumar; Beni Ari Hidayatulloh; Zaenudin Zaenudin; Putri Novia Dyah Pitaloca
Journal of Information Technology and Its Utilization Vol 6 No 1 (2023): June 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.1.5015

Abstract

The development of information technology has greatly influenced the development of current storage media, such as cloud-based storage (cloud). Nextcloud and pydio storage are part of an open based cloud computing system. Measuring service quality can be seen from the aspects of throughput, delay, jitter, and packet loss. This research was conducted to compare the upload and download speeds between the nextcloud server and the pydio server. Of the two cloud storage servers, five trial upload and download respectively. Based on the test results showing that the upload and download processes produce final cloud storage data which has the highest average throughput in terms of uploading files of different types and capacities, the next cloud server is 1,934.6 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average file upload delay is the nextcloud server at 222,585 ms. The cloud storage that gets the lowest jitter value is the pydio server of 160.56 ms. Meanwhile, for downloading cloud storage files that have the highest average throughput value, nextcloud server is 1,332 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average download delay is the nextcloud server at 132,057 ms, while the cloud storage that has the lowest jitter is the nextcloud server at 132,139 ms.
Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method Novianti Puspitasari; Anindita Septirini; Rian Bintang Paripurna; Lalu Delsi Samsumar
Journal of Information Technology and Its Utilization Vol 6 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.2.5271

Abstract

Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.
Co-Authors Ahmad Khairul Anam Ahmad Subki Aini Husnida Wulandari Akbar , Ardiyallah Akbar, Ardiyallah Amalia Rahman Amiruddin Kalbuadi Amirudin Kalbuadi Anindita Septirini Ardiyallah Akbar Ardiyallah Akbar Ardiyallah Akbar Aspari, Roni Astutik Zaerani Aulia, Asma Ayu Awanda Aerin Maesyarani Ayuni Azhuri Baiq Hanna Kurratul Aini Beni Ari Hidayatulloh Beni Ary Hidayatullah Beni Ary Hidayatullah Beni Iskandar Firdaus Lubis Biaq Widari Datu Samara Buchtami, Lalu Reza Dedi Supriadi Efendi, Muhamad Masjun Fadhillah Hasbi Ilyas Fadia Karunia Utami Fasya, Muhammad Rafli Feni Ayu Putri Fira Ria Sutardi Gunawati, Junita Haidar, Muhammad Zul Hambali Hambali Hambali Hambali Hamzan Wadi Ilyas, Fadhillah Hasbi Imran, Bahtiar Ismayani Jaelani, Lalu Rizki Juma’in, Juma’in Juniyardi, Lalu Kalbuadi, Amirudin Karim, Muh Nasirudin Karya Gunawan Kembang, Lale Puspita Kristy, Rhama Aziz Aulia Kusuma, Ali Pandu Laela Uziah Lalu Darmawan Bakti, Lalu Darmawan Lalu Isnaeni Rahman Lihana M. Budiamin M. Yusuf M. Zulpahmi M.Zulpahmi Mahmud Mahmud Misniati Misniati, Misniati Moh. Subli Moh. Subli Muahidin, Zumratul Muh. Nasirudin Muhamad Miskar Muhammad Nasirudin Karim Muhammad Rijal Alfian Mulyadi, M. Erwin Mutaqin, Zaenul Ni Wayan Adelia Mutiara Asri Novianti Puspitasari Panji Wijayanto Paripurna, Rian Bintang Puspita Kembang, Lale Puspitasari, Novianti Putri Novia Dyah Pitaloca ratih ratih Rian Bintang Paripurna Riandi Akbar Ramiz Rispawati, Dewi Rudi Muslim Sahida, Nirmala Said, Syukroni Salman Salman Salman Salman Sapitri, Nurul Saputra, Muliadi Sari, Ika Mayang Septirini, Anindita Silpa Rani Zain Sofian Hadi Sri Maryanti Sriasih, Sriasih Subki, Ahmad Sugeng Widodo Suja’i, Ahmad Supardianto Supardianto Suryadi, Emi Sutrisno, Sutrisno Tony Gunawan Wardani, Laila Wijaya, I Gusti Ngurah Satria Yumarlin MZ Zaenaldi, Firki Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenul Mutaqin Zaenul Muttaqin Zenudin, Zaenudin Zulpahmi, M Zulpahmi, M.