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HUBUNGAN PEMBERIAN ASI EKSKLUSIF DAN MAKANAN PENDAMPING ASI DENGAN KEJADIAN STUNTING DI PERKOTAAN
Masitoh, Siti
; Syam, Heriza
; Jehanara, Jehanara
; Kusumastuti, Ani
; Debbiyantina, Debbiyantina
; Aulani, Fitria
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar Belakang: Masalah kesehatan gizi yang signifikan di Kota Serang adalah prevalensi stunting. Asupan gizi, khususnya ASI eksklusif dan makanan tambahan, berdampak signifikan terhadap pertumbuhan balita dan merupakan faktor penyebab stunting. Tujuan: Untuk menguji korelasi antara ASI eksklusif dan makanan pendamping, bersama dengan usia ibu, pendidikan, pekerjaan, dan paritas, dengan prevalensi stunting di wilayah Puskesmas Singandaru, Kota Serang. Metode: Penelitian ini menggunakan pendekata...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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Viscosity Modeling of MES and SLS Using Machine Learning Method
Fathaddin, Muhammad Taufiq
; Setiati, Rini
; Akbar, Fahrurrozi
; Sumirat, Iwan
; Bharoto
; Ramadhan, Ranggi Sahmura
; Onnie Ridaliani Prapansya
; Ristawati, Arinda
Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict...
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Cam Simulation and Dimensional Verification of CNC-Machined Orthopaedic Femoral Components: Toolpath Optimization and 3D-Scan Metrology
Setyoadi, Yuris
; Rifky Ismail
; Bayuseno, Athanasius Priharyoto
; I Nyoman Jujur
; Novriansyah, Robin
; Darmanto
; Prawibowo, Hartanto
; Anggoro, Paulus Wisnu
This study investigates the optimization of manufacturing femoral components for Total Knee Replacement (TKR) using Computer-Aided Manufacturing (CAM) simulation and 5-axis CNC milling, followed by dimensional verification based on 3D scanning. The machining process was simulated in Autodesk PowerMill to generate collision-free toolpaths for AISI 316L stainless steel. Dimensional verification was conducted by comparing the 3D-scanned physical model (using Creality CR-Scan Ferret Pro) with the or...
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Waterbirds as bioindicators of ecosystem health: seasonal dynamics in Tondano Lake, Indonesia
Waterbird diversity in Tondano Lake reflects ecological degradation caused by water-hyacinth invasion and sedimentation. This study analyzed the diversity and abundance of waterbirds in Tondano Lake, Indonesia, across wet (February-May) and dry (June-October) seasons in 2025 to assess their role as bioindicators of ecosystem health. Multi-season observations were carried out monthly along a 6.5 km transect at ten strategic points. Eight waterbird species from three families were recorded, with E...
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Assessment of genetic diversity in EMS-induced porang (Amorphophallus muelleri Blume) revealed by RAPD markers
Haritzah, Rendha Maulana
; Radita, Novia Fitri
; Ramadanti, Isma Salsabila
; Azzahro, Yusri Despa
; Wahyudi, Didik
; Resmisari, Ruri Siti
; Suyono
Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to in vitro EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Ge...
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Pharmacological prediction of Marchantia polymorpha: GC-MS and molecular docking approaches
Marchantia polymorpha is the liverworts that can be found abundantly in the Mount Pasang Jember area. The metabolite profiling of M. polymorpha has not yet been conducted. The method used in this study was untargeted metabolite profiling using GC-MS, and the results of the metabolite compound profiling were analyzed in silico using bioinformatics-based, namely PASS Online, SwisADME, and Molecular Docking using PyRx 8.0 with AutodockVina. The aims of docking with this protein was adjusted to th...
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Evidence-based non-residential waste analysis to support 3R strategies and food recovery hierarchy: a case study in Solok Selatan
The amount of waste generation that increases without being accompanied by good waste management will cause pollution and decrease the aesthetic value of the environment. Non-residential waste originating from non-residential activities is also one of the contributors to waste entering the landfill. This study aims to analyze non-residential waste generation and composition as an evidence-based reference for each source in implementing the 3R concept and the Food Recovery Hierarchy (FRH). The nu...
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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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A Vegetation analysis of terestrial fern in kemuning tea garden in ngargoyoso village, Indonesia
Kemuning Tea Garden in Ngargoyoso Village is a beautiful area with many tourist destinations. Therefore, in addition to the activities of local people as tea farmers, many outsiders come as tourists. This area has abiotic factors that are suitable for the growth of various types of plants, one of which is ferns, especially terrestrial ferns. This study aims to determine the composition of terrestrial fern vegetation in the kemuning tea garden area. The method used was purposive sampling method,...
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