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Implementasi Sistem Manajemen Inventori dan Aset REA TEHNIK Berbasis Web Menggunakan Framework Laravel
Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
; Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 30
, No 2
(2026)
Mekanisme administrasi barang pada REA TEHNIK sebelumnya masih mengandalkan cara-cara konvensional melalui pencatatan fisik serta bantuan perangkat lunak Microsoft Excel. Namun, pola kerja tersebut memicu sejumlah hambatan praktis, di antaranya lambatnya akses terhadap informasi stok, risiko diskrepansi data akibat kelalaian input, hingga birokrasi validasi laporan yang memakan waktu lama [1], [2]. Keterbatasan ini mendasari urgensi pengembangan sebuah platform digital yang terintegrasi dan bers...
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Characteristics of Garlic Crackers with Soy Flour Substitution (Glycine max. L) and Variations of Katuk Leaf Extract (Sauropus androgynus L)
Agrobioteknologi
(2026)
Garlic crackers are a snack made of starch-based ingredient with the addition of spices and leavening agents. In this study, garlic crackers were made with variations of tapioca flour, soy flour, and katuk leaf extract. Soy flour and katuk leaf extract were added to increase the nutritional value, especially to increase the protein and fiber content. This research aimed to formulate garlic crackers that will be preferred by the consumer and to determine the chemical, physical, and organoleptic p...
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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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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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Analysis for Non-covalent Bonds in Protein Structures Using the DV-Xα Method
Halogen atoms are increasingly recognized for their ability to form non-covalent halogen bonds in protein–ligand complexesy. To systematically evaluate these interactions, we employed the DV-Xα method to calculate bond overlap populations (BOPs) in protein structures containing halogenated ligands. Using the Protein Data Bank, we identified thousands of entries with fluorine, chlorine, bromine, or iodine atoms. Structural coordinates were extracted around the chlorine atoms of the ligand and sub...
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Pengaruh Leverage, Profitabilitas, Sales Growth, terhadap Tax Avoidance: Moderasi Ukuran Perusahaan
Tax is a major source of government revenue; however, tax avoidance remains a significant issue, particularly in the property and real estate sector, which is characterized by high growth and complex financial structures. This study examines the effects of leverage, profitability, and sales growth on tax avoidance, with firm size as a moderating variable. The study employs a quantitative approach, using secondary data from the annual financial statements of property and real estate companies lis...
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Pengaruh Profitabilitas, Likuiditas, Leverage, dan Pertumbuhan Aset terhadap Kebijakan Dividen
The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER...
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THE EFFECT OF SORGHUM AND COWBEAN DRYING TEMPERATURE ON THE PHYSICOCHEMICAL AND SENSORY PROPERTIES OF CEREAL DRINK POWDER
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 10
, No 1
(2026)
Chronic Energy Deficiency (CED) is a condition that occurs due to an imbalance between energy and protein intake, so that the body's nutritional needs are not optimally met. Government efforts to prevent CED and KEP (Energy Protein Deficiency) are carried out through the Supplementary Feeding (PMT) program, which aims to improve the nutritional status of pregnant women and toddlers. Sorghum (Sorghum bicolor (L.) Moench) is a cereal commodity that has the potential as an alternative to wheat. Mea...
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Performance Analysis of Ensemble Learning Models in Heart Failure Prediction: Random Forest, AdaBoost, and XGBoost
Beny, Beny
; Dinamika Bangsa University
; Yani, Herti
; Satya Wacana Christian University
; Yupu, Gangga Ramadhan Putra
; Dinamika Bangsa University
Telematika
Vol 19
, No 1
(2026)
Heart failure remains a major global health challenge, and early prediction is essential for improving patient outcomes. This study evaluates three ensemble learning methods, namely Random Forest, AdaBoost, and XGBoost, using the Heart Failure Prediction dataset containing 918 patient records from Kaggle. A quantitative experimental design was applied, including preprocessing with KNN imputation, model development, and evaluation using 10-Fold Cross Validation. Performance was assessed through a...
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Development of STEM-Based Interactive Learning Media for Critical Thinking Skills in Renewable Energy: Solar Power Plants
Lontar Physics Today
Vol 5
, No 1
(2026)
This study aims to develop an interactive STEM-based learning media on renewable energy-Solar Power Plant, to train high school students' critical thinking skills. The development of learning media in this study is development research that focuses on the stages of media design, media development, expert validation, and implementation through limited trials. Data collection was conducted through questionnaires. The validity of the learning media was assessed by experts at the development stage a...
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