cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Bekti Maryuni Susanto
Contact Email
bekti@polije.ac.id
Phone
+6282236909384
Journal Mail Official
bekti@polije.ac.id
Editorial Address
Jl. Mastrip Kotak Pos 164 Jember Jawa Timur 68101
Location
Kab. jember,
Jawa timur
INDONESIA
Jurnal Teknologi Informasi dan Terapan (J-TIT)
Published by Politeknik Negeri Jember
ISSN : 2354838X     EISSN : 25802291     DOI : https://doi.org/10.25047
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
This journal accepts articles in the fields of information technology and its applications, including machine learning, decision support systems, expert systems, data mining, embedded systems, computer networks and security, internet of things, artificial intelligence, ubiquitous computing, wireless sensor networks, and cloud computing. The journal is intended for academics and practitioners in the field of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 12 Documents
 1   2 
Search results for , issue "Vol 12 No 2 (2025): December" : 12 Documents clear
Clustering Analysis for Green Economy and Citizens-Based Social Forestry Business Development Model Pradityo Utomo; Dwi Nor Amadi; Rahmanta Setiahadi
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.463

Abstract

This study aims to prove that clustering analysis can optimize the development model of social forestry businesses based on green economy and citizens. Clustering analysis can use machine learning methods. Some of these methods are K-Means and K-Medoids. First, the research data was obtained from the assessment results of forest edge residents. Residents assessed 13 green economy variables. The social forestry business development model based on green economy and citizens requires labeled data. Therefore, this study compares the performance of K-Means and K-Medoids to cluster the assessment data of forest edge residents. To determine its performance, this study uses three variations of k values, namely K = 4, K = 8, and K = 12. Performance testing uses the Davies Bouldin Index (DBI) method and computation time. Based on Davies Bouldin test, K-Means method is better than K-Medoids at K = 4, but K-Medoids method is better than K-Means at K = 8 and K = 12. Based on computation time test, K-Means method is better than K-Medoids. Based on this test, K-Means method is more suitable for big data and fast computing time.
Fuzzy Sugeno Model for SNR-Based Adaptive Modulation in Underwater Acoustic Communication Sholihah Ayu Wulandari; Ahmad Haris Hasanuddin Slamet
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.466

Abstract

Underwater communication faces significant challenges due to the dynamic characteristics of the channel and is strongly influenced by the physicochemical parameters of the water. This study proposes channel quality modeling using the Sugeno Fuzzy Inference System (FIS) with input variables of temperature, salinity, dissolved oxygen (DO), and turbidity. The system produces a Signal-to-Noise Ratio (SNR) output that is used as a basis for channel quality mapping, Bit Error Rate (BER) estimation, and the selection of adaptive modulation techniques (BPSK, QPSK, or 16QAM). Simulation results show that the Sugeno fuzzy model is able to follow the theoretical pattern well, where increasing temperature, salinity, and turbidity decrease the SNR value, while DO plays a role in maintaining channel stability. Based on the test results, at high SNR (≥ 15 dB) the system recommends 16QAM, at medium SNR (11–15 dB) QPSK, and at low SNR (≤ 10 dB) BPSK. This approach has proven effective in suppressing BER and increasing the reliability of underwater acoustic communications in fluctuating mangrove water environments.

Page 2 of 2 | Total Record : 12

 1   2 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 12 No 2 (2025): December Vol 12 No 1 (2025): June Vol 11 No 2 (2024): December Vol 11 No 1 (2024) Vol 10 No 2 (2023) Vol 10 No 1 (2023) Vol 9 No 2 (2022) Vol 9 No 1 (2022) Vol 8 No 2 (2021) Vol 8 No 1 (2021) Vol 7 No 2 (2020) Vol 7 No 1 (2020) Vol 6 No 2 (2019) Vol 6 No 1 (2019) Vol 5 No 2 (2018) Vol 5 No 1 (2018) Vol 4 No 2 (2017) Vol 4 No 1 (2017) Vol 3 No 1 (2016) Vol 2 No 2 (2015) Vol 2 No 1 (2015) Vol 1 No 2 (2014) Vol 1 No 1 (2014) More Issue