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Analisis Pola Global dan Lokal Determinan Prevalensi Stunting di Jawa Tengah Tahun 2024 Menggunakan Geographically Weighted Regression
Nugroho, Ivan Wahyu
; Febriansyah, Candra Rifki Eka
; Rahmadhani, Oktavia Suci
; Murti, Basugandhi Sasangka
; Sabil, Safina
; Zuhdi, Shaifudin
; Shaifudin Zuhdi, Universitas Sebelas Maret, Fakultas Teknologi Informasi dan Sains Data
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Stunting masih menjadi permasalahan kesehatan masyarakat yang serius di Indonesia, salah satunya di Jawa Tengah. Pendekatan analisis global sering kali belum mampu menangkap perbedaan pengaruh determinan stunting secara local. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi pola global dan lokal determinan stunting di Jawa Tengah menggunakan. Metode: Penelitian kuantitatif ini menggunakan data sekunder agregat dari 35 kabupaten/kota di Jawa Tengah. Analisis dilakukan meng...
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Comparative Analysis of UFW and CSF Using the SEPER Framework
Kurniawan, Arif
; Yusuf, Muhamad
; Institut Teknologi Tangerang Selatan
; Prasetio, Agung Budi
; Institut Teknologi Tangerang Selatan
Telematika
Vol 19
, No 1
(2026)
This study presents a comparative evaluation of two widely used Linux-based firewall solutions, Uncomplicated Firewall (UFW) and ConfigServer Security & Firewall (CSF), using the SEPER framework, which encompasses Security, Performance, Effectiveness, and Reliability dimensions. While previous studies have examined Linux firewall configurations individually, systematic comparisons that apply a structured evaluation framework such as SEPER remain limited. The experiments were conducted on Ubu...
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APPLICATION OF FINE-TUNED MODELS IN SENTIMENT ANALYSIS OF NEWS: A SYSTEMATIC LITERATURE REVIEW
Habibi, Roni
; Roni Habibi
; Komaran, Raul Mahya
; Universitas Logistik dan Bisnis Internasional
; Watase UAKE Platform
; Universitas Logistik dan Bisnis Internasional, Department of Informatics Engineering
Telematika
Vol 18
, No 2
(2026)
This study aims to examine the application of fine-tuned models in news sentiment analysis through the Systematic Literature Review (SLR) approach. The main focus is directed at three aspects: improving accuracy (RQ1), implementation challenges (RQ2), and computational efficiency (RQ3). The problems identified include high computational requirements, limited annotated data, and difficulties in handling language and dialect diversity. As a solution, various optimization techniques have been explo...
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Systematic Review of Supervised Learning Models for Network Flood Detection (NFD): Trends, Performance Evaluation, and Implementation Insights
Habibi, Roni
; Universitas Logistik dan Bisnis Internasional
; Widana, Naufal Dekha
; Universitas Logistik dan Bisnis Internasional
Telematika
Vol 18
, No 2
(2026)
Due to the growing volume, speed, and sophistication of malicious traffic, Network Flood Detection (NFD), especially in the context of Distributed Denial of Service (DDoS) assaults, continues to be a crucial challenge in contemporary network security. Supervised machine learning has been widely used to enhance the precision, scalability, and real-time detection capabilities of NFD systems. However, current research reveals inconsistent results on the optimal supervised learning algorithm, most...
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Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
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Perancangan Desain Karakter Buku Ilustrasi People Pleaser Dalam Dunia Kerja
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 18
, No 1
(2025)
This paper discusses the visual design of character designs for an illustrated book that focuses on the problem of people pleasers among employees aged 22-30 years. People pleasers are individuals who tend to please others at the expense of themselves, which in the long term can trigger stress and mental disorders. The results of the study show that many young employees experience a dilemma between meeting other people's expectations and maintaining their own well-being. To convey this problem,...
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EVALUASI KUALITAS WEBSITE PEMESANAN RAMEN 1 TRANSMART PEKALONGAN MENGGUNAKAN METODE MCCALL
Khofifah, Nurul
; Fiyyah, Luth
; Afiani, Marshela
; Janah, Fitrotul
; Miranti, Putri
; INSTITUT TEKNOLOGI DAN SAINS NAHDATUL ULAMA PEKALONGAN
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Vol 13
, No 1
(2025)
The rapid advancement of Industry 4.0 underscores the need to integrate internet technology into everyday societal functions, including the food service industry. This research evaluates the quality of a web-based ordering system for Ramen 1 restaurant at Transmart Pekalongan using the McCall software quality model to assess the alignment between system capabilities and user expectations. Data were collected from 30 respondents, including both users and staff, selected based on their direct expe...
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Hubungan Pendapatan Dan Kesejahteraan Terhadap Kebahagiaan Karyawan PT Pos Indonesia Bandar Lampung
Jurnal Ilmu Ekonomi, Manajemen dan Bisnis
Vol 3
, No 1
(2025)
Penelitian ini melibatkan partisipasi penuh dari 100% karyawan yang diwawancarai, yaitu sebanyak 10 karyawan, yang memberikan wawasan beragam mengenai pengalaman mereka di tempat kerja. Hasil penelitian menunjukkan bahwa 70% karyawan percaya bahwa pendapatan yang memadai berkontribusi langsung terhadap kebahagiaan mereka, yang menyoroti pentingnya aspek finansial dalam mencapai kesejahteraan emosional. Selain itu, 60% responden mengindikasikan bahwa kesejahteraan, yang mencakup kesehatan fisik d...
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Effectiveness of Pickup and Delivery Services in Logistics Companies with Route Optimization using the A* Algorithm
Prianto, Cahyo
; Universitas Logistik dan Bisnis Internasional
; Adiningrum, Nur Tri Ramadhanti
; Universitas Logistik dan Bisnis Internasional
Telematika
Vol 17
, No 2
(2024)
Logistics is situated at the epicenter of both production and consumption, its role in the economy is becoming more and more significant. A logistics company is a business that specializes in offering logistics services; an example of such a business in Bandung is a logistics company that offers pickup and delivery services. Of the many locations that will be visited by couriers every day, of course, effective vehicle route management is needed to minimize costs, time, and vehicle efficiency. Th...
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Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Amalia, Raisa
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Universitas Lambung Mangkurat
; Indriani, Fatma
; Universitas Lambung Mangkurat
; Budiman, Irwan
; Universitas Lambung Mangkurat
; Mazdadi, Muhammad Itqan
; Universitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Mafazy, Muhammad Meftah
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 17
, No 1
(2024)
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and the economy has made it a significant global concern. It has caused economic contraction in Indonesia, particularly in face-to-face interaction and mobility sectors, such as transportation, warehousing, construction, and food and beverages. Since the pandemic beg...
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