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All Journal Klik - Jurnal Ilmu Komputer Jurnal Sistem Informasi Komputer dan Teknologi Informasi
Bitrayoga, Muhammad
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Computer Science & IT Engineering

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ADOPSI METODE ACTION RESEARCH UNTUK MENINGKATKAN KINERJA INTERNET NETWORK DI PROV. SUMSEL Bitrayoga, Muhammad; Antoni, Darius; Herdiansyah, M Izman; Syamsuar, Dedy
SISKOMTI: Jurnal Sistem Informasi Komputer dan Teknologi Informasi Vol. 3 No. 1 (2021): Februari 2021
Publisher : Universitas Lembah Dempo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54342/yfpdck15

Abstract

A computer network is a group of computers that are connected to one another by using a communication protocol through transmission media or communication media so that they can share data, programs, share hardware such as printers, hard drives and so on. The purpose of the measurement is to obtain measurement results on Virtual Private Network (VPN) network technology with parameters of Throughput (KBps), Delay (ms) and Packet loss (%), in order to analyze the results of QoS (Quality Of Service) performance of Virtual Private Network networks. (VPN) servers that meet the standards of good service quality and efficiency. The method used is Action Research which is an action research aimed at developing the most efficient work method. With action research. Action research is divided into several stages which are cycles, namely: Performing diagnostics (diagnosing), Making an action plan (action planning), Taking action (action taking), Conducting evaluation (evaluating), and Learning (learning) and measurement results of delay parameters and packet loss greatly affects the value of throughput where the greater the value of delay and packet loss, the smaller the resulting throughput value. The value of delay and packet loss is getting smaller, the better, while the bigger the worse, while the throughput parameter is on the contrary, where the bigger the better, the thing that greatly affects the value of the measurement of delay, packet loss and throughput on VPN networks besides attenuation and noise is the amount of bandwidth given so that it is very important. affect the measurement of the QoS value as for the suggestions to be conveyed in this study is to increase the bandwidth on the VPN network so that it has very small delay and packet loss values ??and large throughput so that a better QoS value can be obtained.
Perancangan Model Artificial Intelligence Prediktif untuk Identifikasi Awal Gangguan Mental pada Remaja Bitrayoga, Muhammad; Ubaidillah, Ubaidillah
Klik - Jurnal Ilmu Komputer Vol. 6 No. 2 (2025): Klik - Jurnal Ilmu Komputer
Publisher : Fakultas Ilmu Komputer Universitas Sumatera Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56869/klik.v6i2.744

Abstract

Gangguan mental pada mahasiswa merupakan permasalahan yang semakin meningkat dan memerlukan upaya identifikasi awal yang cepat dan sistematis. Penelitian ini bertujuan untuk merancang dan mengimplementasikan model Artificial Intelligence prediktif menggunakan algoritma Random Forest untuk melakukan identifikasi awal gangguan mental pada mahasiswa. Data penelitian diperoleh dari 300 responden mahasiswa melalui penyebaran kuesioner yang memuat indikator kondisi psikologis, tekanan akademik, dan faktor sosial. Tahapan penelitian meliputi pengumpulan data, preprocessing data, pembagian data latih dan data uji, pembangunan model, serta evaluasi performa model. Hasil pengujian menunjukkan bahwa model Random Forest mampu menghasilkan nilai accuracy sebesar 87%, precision sebesar 85%, recall sebesar 88%, dan F1-score sebesar 86%. Hasil tersebut menunjukkan bahwa model memiliki kemampuan klasifikasi yang baik dalam mengidentifikasi potensi gangguan mental secara awal. Model yang dihasilkan dapat dimanfaatkan sebagai sistem pendukung keputusan dalam membantu institusi pendidikan melakukan pemantauan kondisi mental mahasiswa secara lebih dini, tanpa menggantikan diagnosis tenaga profesional.
Co-Authors Antoni, Darius Dedy Syamsuar Herdiansyah, M Izman Ubaidillah Ubaidillah