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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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Analisis Implementasi Program Pengelolaan Penyakit Kronis (PROLANIS) Di Klinik Symponi Danarieva Medika Palembang
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Program Pengelolaan Penyakit Kronis (Prolanis) merupakan program yang diberlakukan sejak tahun 2014 oleh BPJS Kesehatan sebagai upaya preventif dan promotif untuk penyakit DM tipe 2 dan Hipertensi. Namun kenyataannya, belum semua FKTP mampu menjalankan Prolanis sesuai dengan aturan yang sudah ditetapkan, salah satunya Klinik Symponi Danarieva Medika Kota Palembang dengan capaian sebesar 3,16%, 3,89%, 2,60% selama bulan Apri-Mei 2024 dari target nasional >5%. Metode: Penelitian in...
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Synergistic cultures for resilient mercury bioremediation in ASGM leveraging microbial interactions for sustainable pollutant removal
The widespread use of mercury (Hg) in artisanal and small-scale gold mining (ASGM) necessitates effective bioremediation strategies. This study evaluated the mercury reduction capabilities of two bacterial strains, Bacillus subtilis and Pseudomonas aeruginosa, using real-world ASGM liquid waste. In a seven-day laboratory-scale experiment, we assessed the performance of single and mixed bacterial cultures under varying pH conditions. Our results show that B. subtilis was particularly effective, a...
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Isolation and screening of halotolerant protease-producing bacteria from Lampung fermented shrimp paste
Protease are class of degradative enzymes that hydrolyze proteins, breaking its peptide bond, into smaller peptides and amino acids. Microbial proteases have gained increasing attention due to its productivity and utilization in various industries. Proteolytic bacteria derived from fermented shrimp paste from Lampung have great potential to meet this need. However, studies on these bacteria are still limited, so further research is needed to explore and optimally utilize their potential. This st...
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PENGARUH PERSEPSI NILAI LAYANAN DAN KEPUASAN TERHADAP LOYALITAS PELANGGAN DI BANK PERKREDITAN RAKYAT
Probisnis
Vol 19
, No 1
(2026)
Penelitian ini bertujuan untuk menguji pengaruh persepsi nilai layanan dan kepuasan pelanggan terhadap loyalitas nasabah BPR. Penelitian ini mengambil obyek penelitian pada Bank Perkreditan Rakyat yang berada di wilayah Banyumas Raya. Teknik pengambilan sampel menggunakan purposive sampling melalui kuesioner yang bersifat tertutup. Ukuran sampel penelitian adalah 200 responden. Teknik analisis yang dipergunakan adalah SEM-AMOS. Temuan hasil penelitian menunjukkan pengaruh positif persepsi nila...
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A The Impact of Tourism Regulations on Tourist Visit Performance: A Comparative Analysis of Indonesia and Singapore
Tourism regulations play a critical role in shaping destination competitiveness and influencing tourist travel decisions, yet empirical evidence on their effectiveness across different institutional contexts remains limited. This study investigates the impact of tourism regulations on tourist visit performance through a comparative quantitative analysis of Indonesia and Singapore. Using panel data covering the period 2010–2023, this research employs a fixed-effects regression model to examine th...
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System Dynamics-Based Industrial Modeling of Aluminium Processing in Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 2
(2026)
The Indonesian aluminum industry has great potential due to its abundant bauxite reserves, but downstream development to increase added value is still limited. This study uses a dynamic system model to simulate the development of Indonesia's aluminum industry, taking into account variables such as bauxite reserves, production capacity, demand, energy costs, raw material prices, and downstream development barriers. A scenario-based simulation method is applied to evaluate the impact of various po...
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Analisis Kinerja Sistem Informasi Ekspedisi Nasional Berorientasi Website dan Mobile
This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main ind...
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Architecture and Field Evaluation of an IoT-Integrated Village Information System for Public Service
Hartono, Susilo
; Universitas Muhammadiyah Pringsewu
; Sutikno, Tole
; Ahmad Dahlan University
; Yudhana, Anton
; Ahmad Dahlan University
Telematika
Vol 19
, No 1
(2026)
Village public services often struggle with slow administrative workflows, limited transparency, and unequal access to service information, particularly where processes remain manual and difficult to monitor in real time. This study evaluates a deployed integrated village information system augmented with Internet of Things (IoT) signals—RFID-based operational monitoring and water/electricity facility-status sensing—to assess whether service quality improved after implementation and to clarify t...
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Development of a Lightweight CNN Architecture for Multiclass Brain Tumor Detection Based on RGB Images
Telematika
Vol 19
, No 1
(2026)
Convolutional Neural Networks (CNNs) have become the backbone of various computer vision applications, including medical diagnosis and disease detection. In the context of brain tumor detection, CNNs have demonstrated their capacity to interpret the subtle complexities present in brain images, distinguish between various tumor categories, and provide essential information that can inform clinical decision-making and personalized treatment planning.This study aims to develop a lightweight Convolu...
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