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Pengukuran Kualitas layanan Internet di Universitas Sembilanbelas November Kolaka Berdasarkan QoS dan QoE Paliling, Alders; Mardianto, Mardianto; Sutoyo, Muhammad Nurtanzis
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 12 No. 2 (2023): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v12i2.1425

Abstract

saat ini, kepuasan pengguna menjadi salah satu topik terpenting yang diperhatikan oleh penyedia layanan. Quality of Service (QoS) adalah kemampuan suatu jaringan untuk menyediakan jaminan dan performa jaringan seperti delay, throughput, dan packet loss sedangkan Quality of Experience (QoE) merupakan pendekatan terhadap kualitas layanan internet, yang dapat menjelaskan pentingnya sebuah perubahan layanan berdasarkan apa yang dirasakan pengguna saat menikmati layanan yang diberikan di USN Kolaka memiliki akses layanan internet yang ketersediaan akses internet seperti Video call/Conference, VideoStreaming, dan Web Browsing. Tujuan dari penelitian ini adalah mengguji apakah pengukuran kualitas internet secara teknis berbanding lurus dengan pengukuran pengalaman pengguna.Berdasarkan hasil uji pengukuran Quality of Service (QoS) dan Quality Of Experience (QoE) bahwa perbandingan kualitas dari faktor teknis (QoS) yang diukur memiliki nilai yang bagus dari parameter uji seperti delay, throughput, packet loss dan jitter sedangkan parameter dari kaulitas non teknis (QoE) seperti content quality, system quality dan service quality diperoleh nilai QoE yang di ukur berdasarkan nilai MOS memiliki kualitas baik sehingga dapat disimpulkan bahwa berdasarkan nilai QoS dan QoE layanan internet di Universitas Sembilanbelas November Kolaka dikategorikan baik.
Optimasi Pengelolaan Data Mahasiswa dalam Sistem Pendukung Keputusan Pemilihan Asisten Laboratorium Sutoyo, Muh. Nurtanzis; Akbar, Muh. Hajar; Paliling, Alders; Mardianto, Mardianto
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The selection of laboratory assistants is a crucial process that requires decision-making based on various criteria, such as academic performance, activeness, technical skills, and communication abilities. However, manual processes often face challenges such as subjectivity and inefficiency. This study aims to develop a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to optimize the selection of laboratory assistants. We utilize the SAW method because it can integrate criterion weights and normalize data to produce objective preference values. We conducted a simulation using dummy data from 10 students and four criteria, applying weights determined through discussions with laboratory managers. The results show that student A5 achieved the highest preference score (1.000), reflecting optimal performance across all criteria. The developed system also demonstrated its ability to enhance the transparency, efficiency, and accuracy of the selection process. The implementation of this system offers a practical solution for managing student data and making fairer decisions, with potential applications in other selection contexts, such as scholarships or academic awards
Public Education to Maintain the Quality of Population Data Mardianto; Pradipta, Anjar; Nurtanzis Sutoyo, Muh.; Paliling, Alders
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2024): April 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i1.171

Abstract

Community service is an effort to apply science and knowledge in solving problems faced by society. One important aspect of community service is maintaining population data. Accurate and up-to-date population data is very important for development planning, public policy and various other purposes. Population data is a type of data that has strategic value in development planning, public services, social policy and various other activities. However, there are challenges in managing and maintaining population data so that it remains accurate, reliable and can be accessed easily. Community service is needed in the form of maintaining population data to support the efficiency and effectiveness of data use. Community service regarding the maintenance of population data is an important step in supporting sustainable community development. With accurate and well-maintained population data, public policies and development programs can be implemented more effectively. Through outreach, education and training approaches, the community can actively participate in maintaining the accuracy of their population data. It is hoped that this community service can continue and have a positive impact in the long term
Implementation of Augmented Reality Technology For Human Skeletons Learning Based on Android alders paliling
Journal of Information Technology and Its Utilization Vol 2 No 2 (2019)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.2.2343

Abstract

One of the materials taught in science lesson is about human skeletons. In the learning process of the human skeletal, teachers use props in the form of human skeletal models. With the development of technology, the use of human skeletal models can be replaced with digital models. Human skeletal models can be damaged either by deliberate or accidentally by age. The correct method for replacing the model of a human skeleton into a digital form is by using Augmented Reality technology, where Augmented Reality technology is capable of projecting 3-dimensional objects into the real world directly. The use of augmented reality technology is increasingly prevalent in the world of education, health, sales, and tourism. The results obtained in this study was the application could project 3-dimensional objects from the human skeleton that was divided into 4 parts of the skull, spine and ribs, the bone of the upper tool and the bone of the motion of the bottom of the marker. Based on the tests that have been done, it was concluded that a good distance in identifying markers between smartphones with markers is at a distance between 2-6 inches and marker slope of the smartphone is 00-600