Determination Of Coefficients Research Articles

Pengaruh Lingkungan Kerja dan Disiplin Kerja Terhadap Kinerja Karyawan: Penilaian Kinerja Menggunakan Key Performance Indicator

This research aims to find out: 1) How the influence of work environment on employee performance at PT ARBA Group Gorontalo, 2) How the influence of work discipline on employee performance at PT ARBA Group Gorontalo, and 3) How the influence of work environment and work discipline on employee performance at PT ARBA Group Gorontalo. With 35 respondents determined using saturated sampling method. The approach in this study uses a quantitative approach with data collection techniques using a questionnaire (questionnaire). Data analysis techniques using multiple linear regression. Based on the results of the analysis it was found that: 1) Partially, the work environment has a significant effect on employee performance with t count> t table, namely 2.718> 2.036. 2) Work discipline has a significant effect on employee performance with t count> t table, namely 4,770> 2,036 and 3) Simultaneously the work environment and work discipline have a significant effect on employee performance at PT. ARBA Group Gorontalo with f count> f table, namely 38,140> 3,284. With a coefficient determination value of work environment and work discipline of 0.686 or 68.8% strong effect on employee performance at PT. ARBA Group Gorontalo. While 0.314 or 31.4% is influenced by other variables not explained in this study.

The Influence of Marketing Mix Strategies for Savings Plus (BNI Taplus) Products on the Level of Customer Satisfaction at Pt. Bank Negara Indonesia (Persero) Tbk Supporting Branch Office (KCP) Wisma Bumiputera Jakarta

Mix marketing is something that can carried out by the company for influence request will its products consist of on four groups, namely: product, price, promotion and place or channel distribution. Research purposes This is For Know the mix strategy marketing product savings plus (BNI Taplus), view factors considered customers in choose BNI Taplus products and see How influence mix marketing to level satisfaction customers. In measuring level satisfaction customers, there is four dimensions mix marketing among them product, price, place and promotion to satisfaction customers. Research methods this, that is study quantitative. Study quantitative is a research analysis in a way general use analysis statistics. Whereas type research used is type study survey, that is research that takes sample from One population and use questionnaire as tool basic data measurements. Sample in research This that is BNI Taplus customers at PT. Bank Negara Indonesia (Persero) Tbk KCP Wisma Bumiputera Jakarta as many as 50 respondents. The design used in study This is method descriptive analysis that is trying method look for description comprehensive about data, facts, events Actually about object research and for research data analysis This using multiple linear regression test, coefficient test determination, f-test, and t-test. Based on results research and f-test results (simultaneous) show that factors mix marketing influential positive to satisfaction customers. The results of the t-test (partial) are influential positive in a way significant to satisfaction customers is variable product, meanwhile variable price, place, promotion influential positive but no significant to satisfaction customers. Meanwhile, contribution variable mix marketing to satisfaction customers indicated by the coefficient determination already customized of 0.223 meaning that mix marketing (product, price, place and promotion) is influential to satisfaction customers amounted to 29.00% while the rest 71.00 % is influenced by other variables outside the model used by the author. Research result This getting R= 0.535 shows R is almost approach number 1, meaning between variable mix marketing (product, price, place and promotion) towards satisfaction customers have influence.

Determination of Diffusion Coefficients of Bisphenol A (BPA) in Polyethylene Terephthalate (PET) to Estimate Migration of BPA from Recycled PET into Foods

Bisphenol A (BPA) is a known substance that is found in food contact materials as an intentionally added as well as a non-intentionally added substance. Traces of BPA were found as a non-intentionally added substance in recycled PET (rPET). In 2023, the EFSA proposed a new TDI of 0.0002 µg/kg bw/d, which is lower than the previous (temporary) TDI of 4 µg/kg bw/d by a factor of 20,000. The TDI of 0.0002 µg/kg bw/d would translate for a default 60 kg person eating one kilogram of food into a migration limit of 0.012 µg/kg in the food. This very low migration limit is a challenge to measuring BPA levels in food. A solution is to use migration modeling to establish maximum concentrations in rPET for different food contact applications. Precise diffusion coefficients for BPA in PET were determined within this study by use of migration kinetics. In June 2024, the European Commission proposed a new migration threshold limit for BPA of 1 µg/kg, which should be understood as a detection limit. From the results of this study, it can be concluded that a BPA concentration in the PET bottle wall of 297 mg/kg (3% acetic acid), 255 mg/kg (10% ethanol), and 192 mg/kg (20% ethanol) after storage for 365 d at 25 °C is in compliance with the migration threshold limit of 1 µg/kg. These maximum concentrations are far above the measured BPA concentrations on rPET bottles in Europe between 2019 and 2023. Therefore, the new proposed migration threshold limit for BPA cannot be exceeded.

Determination of Crop Coefficients for Flood-Irrigated Winter Wheat in Southern New Mexico Using Three ETo Estimation Methods

Determination of Crop Coefficients for Flood-Irrigated Winter Wheat in Southern New Mexico Using Three ETo Estimation Methods

Influence of temperature and dry density coupled effects on HTO, 36Cl, 85Sr and 133Ba diffusion through compacted bentonite

This study investigated the combined impact of temperature (from 25 to 80 °C) and dry density of bentonite (from 1.2 to 1.65 g·cm−3) on the apparent diffusion coefficient, Da, of four radionuclides (HTO, 36Cl, 85Sr and 133Ba) in a Ca-Mg bentonite. In this study, the different porewater chemistry, present under the specific experimental conditions -- a factor often overlooked in diffusion studies -- was explicitly considered. As a support to diffusion studies, batch sorption tests were carried out at different temperatures (25, 40, 60, and 80 °C) with the sorbing elements (85Sr and 133Ba).The planar source method was used for the determination of apparent diffusion coefficients, Da, which demonstrated its efficacy for both conservative (HTO and Cl) and sorbing elements. For all the investigated radionuclides, Da values decreased with increasing the clay dry density and increased with increasing temperature. Notably, the highest Da value (1·10−9 m2 s−1) was attained for HTO diffusion in the clay at 1.2 g cm−3 and 80 °C, while the lowest Da (3.6·10−12 m2 s−1) value was determined for Ba diffusion at 1.65 g cm−3 and 25 °C.The experimental Da values were analysed employing the Arrhenius law and the Stokes-Einstein equations. Results revealed that diffusion data are in a reasonable agreement with Arrhenius behaviour, but deviations from the Stokes-Einstein equation were observed for compaction densities higher than 1.4 g cm−3.

FRAP analysis of peptide diffusion in extracellular matrix mimetic hydrogels as an in vitro model for subcutaneous injection

Subcutaneous (SC) injection is a common route of administration for drug compounds with poor oral bioavailability. However, bioavailability is often variable and incomplete, and there is as yet no standard accepted medium for simulation of the human SC environment. In this work we evaluate a FRAP based method for quantitative determination of local self-diffusion coefficients within extracellular matrix (ECM) mimetic hydrogels, potentially useful as in vitro models for drug transport in the ECM after SC injection. Gels were made consisting of either agarose, cross-linked collagen (COL) and hyaluronic acid (HA) or cross-linked HA. The diffusivities of uncharged FITC-dextran (FD4), the highly charged poly-lysine (PLK20) and poly-glutamic acid (PLE20) as well as the GLP-1 analogue exenatide were determined within the gels using FRAP. The diffusion coefficients in uncharged agarose gels were in the range of free diffusion in PBS. The diffusivity of cationic PLK20 in gels containing anionic HA was substantially decreased due to strong electrostatic interactions. Peptide aggregation could be observed as immobile fractions in experiments with exenatide. We conclude that the FRAP method provides useful information of peptides’ interactions and transport properties in hydrogel networks, giving insight into the mechanisms affecting absorption of drug compounds after subcutaneous injection.

Simulating time delays and space–time memory interactions: An analytical approach

This study introduces a novel analytical framework to explore the effects of Caputo spatial and temporal memory indices combined with a proportional time delay on (non)linear (1+2)-dimensional evolutionary models. The solution is expressed as a Cauchy product of an absolutely convergent series that effectively captures the dynamics of these parameters. By extending the differential transform method into higher-dimensional fractional space, we reformulate the evolution equation as a (non)linear higher-order recurrence relation, which enables the precise determination of fractional series coefficients. Our findings show that Caputo derivatives and time delay significantly impact the system’s behavior, with graphical analysis revealing a continuous transition from a stationary to an integer state solution. The study also identifies a quantitative analogy between the Caputo-time fractional derivative and proportional time delay that highlights the role of Caputo derivatives as memory indices. This method has proven highly effective in deriving solutions for fractional higher-dimensional extensions of evolutionary equations.

PS-MTL-LUCAS: A partially shared multi-task learning model for simultaneously predicting multiple soil properties

Soil acts as a foundation for human survival and social development and soil quality has a great effect on the growth of agricultural products. Visible/near-infrared spectroscopy has been acknowledged as a rapid and non-destructive method for predicting soil properties, and multi-task learning is a preferable approach to analyze the correlation between the spectroscopy data and soil properties. However, current multi-task learning models with the soft parameter sharing structure extremely rely on the task relatedness. To tackle this limitation, we proposed PS-MTL-LUCAS, a multi-task learning with a partially shared structure in this study. An additional shared layer was utilized to learn the general informative representations and interact with each task-specific layer. The partially shared structure ensured the maximum information flow between layers, thereby boosting the prediction performance. Also, the SHapley Addictive exPlanations (SHAP) algorithm was adopted to extract the feature wavelengths of each soil property. PS-MTL-LUCAS was validated on the LUCAS topsoil dataset (2009), and the experimental result suggested that PS-MTL-LUCAS dominated state-of-the-art models by achieving the determination of coefficient at 0.945, 0.936, 0.413, 0.624, 0.837, 0.952, and 0.956 for pH, N, P, K, CEC, OC, and CaCO3, respectively. In summary, this study highlighted the use of the soil spectroscopy and multi-task learning techniques in the soil property prediction task and provided a very promising approach for soil studies.

Diagnostic accuracy of salivary hemoglobin, lactate dehydrogenase and Interleukin-6 to determine chronic periodontitis and tooth loss in type 2 diabetics

BackgroundSalivary Hemoglobin (SH) has emerged as the mainstay non-invasive and a practicable screening method for Chronic Periodontitis. Current research aims to comprehensively assess the diagnostic value of Salivary Hb (SH) in comparison with Salivary IL-6 (SIL-6) and levels of Salivary lactate dehydrogenase enzyme (SLDH) amongst Type II Diabetes subjects having Chronic Periodontitis (CP) and associated tooth loss. Materials and methodsIn this cross-sectional comparative investigation, 240 individuals with at least 15 remaining teeth, ranging in age from 30 to 70, were chosen and Group I controls were defined as follows: healthy (HbA1c levels ≤6.4 %) with no CP; Group II included chronic periodontitis and non-T2DM (HbA1c ≤ 6.4 %); Group III included T2DM (HbA1c ≥ 6.5 %) and CP; and Group IV included T2DM (HbA1c ≥ 6.5 %) with periodontitis-related tooth loss. ELISA colorimetric assay was used to quantify the results using the unstimulated whole saliva of fasting participants. Tukey's post hoc test was used for statistical analysis following Analysis of Variance (ANOVA), and Sensitivity and Specificity were computed following the determination of the correlation coefficient. ResultsOne-way ANOVA comparing Biomarker levels across the four groups revealed a statistically significant difference (F = 68.013) (p = 0.0001). Tukey's multiple post hoc yielded a significant difference between groups with least mean average biomarker levels observed among the controls (Group1) and maximum with group IV. Diagnostic Accuracy to discriminate between CP in T2DM & Controls with SH surpassed that of SIL-6 & SLDH, Receiver operating characteristic (ROC) curve depicted an overall sensitivity of 67.62 %, specificity of 80 % and accuracy of 74 % in T2DM subjects with tooth loss for the identification and assessment of CP. ConclusionEstimates of Salivary Hemoglobin can assume an important role in comparison to SIL-6 & SLDH in determining the degree of periodontitis, including tooth loss, and identifying elevated glycemic levels. Advanced detection and monitoring can be ensured by routine use in dental offices and general practice.

(Invited) On the Optical Response of Layered Materials Exfoliated in Liquid Phase: Evidence of Functional Groups and Size-Dependent Features

Liquid phase exfoliation of layered materials has proven successful for a range of applications [1]. However, the range of organic solvents needed, and the broad distribution of thicknesses [2] can be aided by applying intercalation steps such as electrochemical or solvothermal expansion which leads to thinner crystals in the dispersion [2, 3]. In this talk I will present the effect of electrochemical exfoliation on the basal functionalization of graphene and a proposal for a more accurate determination of the optical extinction coefficient based on oxidation levels for standardization [4]. I will also present a few examples of MoS2 and WS2 exfoliated via ultrasonication which display non-linear optical effects in fluorescence spectroscopy [5] and the effect of crystal-size selection on the piezoresistive and photoconduction response of MoS2 and WS2 exfoliated via lithium intercalation.[1] Yenny Hernandez, et al, Nature Nanotechnology, 3, 563–568 (2008)[2] Jonathan N. Coleman et al. Science 331, 568-571 (2011)[3] Zhongfen Ding, et al, J. Mater. Chem., 2009, 19, 2588-2592 (2009)[4] Khaled Parvez, et al, ACS Nano 2013, 7, 4, 3598–3606 (2013)[5] J Rico, et al, J. Phys.: Condens. Matter 34 105701 (2022)[6] Gabriel Cardenas-Chirivi, et al, Optical Materials, 133,112890 (2022)

A novel methodology for the diffusion coefficient determination in porous media by X-ray high-resolution radiographies

The first step in diagnosing a patient with cancer is the biopsy and the study of the tissue sample taken, suitably processed, is essential for a correct diagnosis. Tissue processors are machines that automatically perform the entire processing protocol, often relying on empirical timing related to chemical diffusions in the biological samples. The determination of the diffusion coefficient in porous materials, such as histological tissue, is still under study with multiple methods often resulting in inaccurate predictions and with few amounts of literature data for biological samples. The authors present an experimental technique, based on a multitude of X-ray radiographs acquired over time, where the intensity of the attenuation to the ionising beam is proportional to the concentration of the solvent that diffuses in the histological preparation. The paper so describes a proof-of-concept of a novel method to estimate the diffusion coefficient in a histological sample, based on the acquisition of time-dependent X-ray radiographs and the solution of an inverse diffusion problem.

Features of the quality of life of first graders taking into account gender differences and cognitive abilities

The purpose of the study: To study the features of the quality of life of first-graders, taking into account gender differences and cognitive abilities. Design: An open prospective non-randomized comparative clinical trial. Materials and methods: 631 children were examined, students of the first grades of secondary schools without a specialized bias № 110, 83, 75, 67, 9 Rostov-on-Don using the international questionnaire PedsQL 4.0 – Pediatric Quality of Life Inventory. To assess the cognitive development of children, the D. Wexler scale was used with the determination of the intellectual coefficient. Results: First-graders with a high level of cognitive development have reduced indicators of physical and emotional functioning, as well as the overall quality of life score. Girls with a high intellectual coefficient, in comparison with boys, have lower physical, emotional, school functioning and higher indicators of social functioning. The indicators of quality of life in children with a high level of cognitive development do not reflect the same in children who do "excellent". Conclusion: The revealed features of the quality of life of first-graders with different levels of cognitive development require differentiated medical, psychological and pedagogical support of children in this age period and further study of their health.

Acceleration Slip Regulation Control Method for Distributed Electric Drive Vehicles under Icy and Snowy Road Conditions

To achieve a rapid and stable dynamic response of the drive anti-slip system for distributed electric vehicles on low-friction surfaces, this paper proposes an adaptive acceleration slip regulation control strategy based on wheel slip rate. An attachment coefficient fusion estimation algorithm based on an improved singular value decomposition unscented Kalman filter is designed. This algorithm combines Sage–Husa with the unscented Kalman filter for adaptive improvement, allowing for the quick and accurate determination of the road friction coefficient and, subsequently, the optimal slip rate. Additionally, a slip rate control strategy based on dynamic adaptive compensation sliding mode control is designed, which introduces a dynamic weight integral function into the control rate to adaptively adjust the integral effect based on errors, with its stability proven. To verify the performance of the road estimator and slip rate controller, a model is built with vehicle simulation software, and simulations are conducted. The results show that under icy and snowy road conditions, the designed estimator can reduce estimation errors and respond rapidly to sudden changes. Compared to traditional equivalent controllers, the designed controller can effectively reduce chattering, decrease overshoot, and shorten response time. Especially during road transitions, the designed controller demonstrates better dynamic performance and stability.

Evaluating non-intrinsic contribution in flexoelectric measurements

The characterization of the flexoelectric coefficient is a fundamental issue for the studies of the flexoelectric effect, which describes the coupling between strain gradient and polarization. However, the contribution from non-intrinsic flexoelectricity cannot be ignored in the flexoelectric measurements, bringing challenges for the determination of intrinsic flexoelectric coefficients. In this work, we propose a non-intrinsic flexoelectric factor to evaluate the non-intrinsic flexoelectric contributions to the measured coefficient, based on the crystal-orientation-dependent flexoelectric coefficients measured by cantilever-bending method. The cubic magnesium oxide single crystals with different surface statuses are chosen to obtain the effective flexoelectric coefficients through the cantilever-bending method and first-principles. The results verify the effectiveness of the proposed non-intrinsic flexoelectric factor. This work provides an effective way to evaluate the non-intrinsic flexoelectric contributions in flexoelectric measurements.

X-ray spectrometry for calculating conversion coefficients from air kerma to operational quantities in radiation protection

This study explores the conversion coefficients from air kerma to operational quantities for radiation protection, using x-ray spectrometry for the narrow-beam qualities below 300 keV as defined by ISO 4037-1. By employing custom spectral correction algorithms combined with modern cadmium telluride (CdTe) semiconductor detectors, we effectively corrected spectral distortions caused by detection processes, ensuring more reliable measurements. These measurements are crucial for meeting radiation protection standards. The study also analyses the sources of uncertainty associated with the determination of conversion coefficients, thereby providing improved accuracy and reproducibility in photon dosimetry.

New gravity field of comet 67P/C-G based on Rosetta’s Doppler and optical data

The gravity field of a celestial body gives valuable insights into its fundamental properties such as its density and internal structure. The Doppler data collected by the Radio-Science Investigation (RSI) experiment of the Rosetta mission were previously used to determine the gravity field of comet 67P/Churyumov–Gerasimenko up to degree 2 (Pätzold et al., 2016). In the present study we re-estimate the gravity field of 67P/C-G using not only RSI data as before, but also images data from Rosetta’s OSIRIS camera. These data, converted into “landmark” observations, are complementary to RSI data. Therefore, the analysis of combined Doppler and optical data results in a significant improvement in the restitution of Rosetta’s orbit and the determination of the comet gravity field with respect to previous work. Some coefficients of the comet’s gravity field are now resolved up to degree 4. The mass and low degrees estimates are in fairly good agreement with those previously published, but the improvement in their accuracy (i.e. lower sigmas) as well as the better resolution (i.e. maximum degree) of the new gravity field suggests that the distribution of mass in the nucleus may not be uniform, contrary to what was previously thought. Moreover, we estimate a change in the mass of the comet attributed to ice sublimation at its orbital perihelion that is almost three times greater than that previously published. The new estimated mass loss is ΔM=28.0±0.29×109kg, corresponding to 0.28% of the total mass of the comet. Thanks to a precise determination of the degree-1 gravity coefficients, we observe for the first time a motion of the center of mass of the comet by ∼35m northward that could be explained by a more pronounced outgassing activity in the south of the comet due to the orientation of its spin axis relative to the Sun. The temporal evolution (before versus after perihelion) of the other estimated gravity coefficients and in particular degree-2 is more modest (0.8% for C20 and 2% for C22, S22).

Preventing the impact of solute adsorption in Taylor Dispersion Analysis: application to protein and lipid nanoparticle analysis

Taylor Dispersion Analysis (TDA) allows diffusion coefficient (D) or hydrodynamic radius (Rh) determination on a wide range of size between angstroms and about 300 nm. However, solute adsorption phenomena can affect the repeatability and reproducibility of TDA. Several numerical studies addressed the theoretical impact of solute adsorption in TDA, but very few experimental studies focus on this topic and no experimental methodologies were proposed so far to reduce the impact of adsorption in TDA. In this work, an experimental protocol, called plug-in-front TDA, consisting of adding the solute in the eluent at a lower concentration compared to the injected sample, was proposed to strongly limit the impact of adsorption on the Rh determination. This protocol was suggested based on the evidence that adsorption / desorption phenomena impacting narrow bore fused silica TDA in aqueous conditions are typically slow processes that can be counteracted by saturating the interaction sites during the experiments. Successful applications to proteins and mRNA lipid nanoparticles (LNP) in vaccine against Covid 19 and protein analysis were reported. TDA of proteins in conditions of strong interactions with the capillary surface was possible using the plug-in-front methodology. We anticipate that such experimental methodology will greatly help the experimentalist for implementing TDA in various applications.

Kinetics, products and mechanisms of the OH radicals and Cl atoms reactions with trans-2-octene and cycloheptene

Relative rate coefficients for the gas-phase reactions of OH radicals and Cl atoms with trans-2-octene (k1-OH and k2-Cl) and cycloheptene (k3-OH and k4-Cl) have been determined by in situ Fourier Transform Infrared Spectroscopy (FTIR). The experiments were carried out at 298 ± 2 K and atmospheric pressure (760 ± 10) Torr using synthetic air as bath gas. The following rate coefficients (in units of cm3 molecule−1 s−1) were obtained for the reactions of trans-2-octene and cycloheptene with OH radicals and Cl atoms: k1-OH = (8.51 ± 1.86) × 10−11, k2-Cl = (4.47 ± 1.09) × 10−10, k3-OH = (7.84 ± 1.78) × 10−11, k4-Cl = (5.46 ± 1.01) × 10−10, respectively. This is the first kinetic study for the reactions of trans-2-octene with Cl atoms and the first rate coefficient determination for the title reactions by in situ FTIR spectroscopy. The kinetic data were compared with previously reported values for similar compounds and reactivity trends were developed. Complementary, products identification studies were performed in similar conditions to the kinetic experiments by the in situ FTIR and Gas Chromatography coupled to mass spectrometry (GC-MS). The atmospheric chemical mechanisms were postulated for the first time for both unsaturated compounds. In addition, the atmospheric implications of these reactions were assessed through the estimation of the tropospheric lifetimes, Photochemical Ozone Creation Potential (POCP) and fates of these compounds in the troposphere.

Design of Fragrance Formulations with Antiviral Activity Using Bayesian Optimization.

In case of future viral threats, including the proposed Disease X that has been discussed since the emergence of the COVID-19 pandemic in March 2020, our research has focused on the development of antiviral strategies using fragrance compounds with known antiviral activity. Despite the recognized antiviral properties of mixtures of certain fragrance compounds, there has been a lack of a systematic approach to optimize these mixtures. Confronted with the significant combinatorial challenge and the complexity of the compound formulation space, we employed Bayesian optimization, guided by Gaussian Process Regression (GPR), to systematically explore and identify formulations with demonstrable antiviral efficacy. This approach required the transformation of the characteristics of formulations into quantifiable feature values using molecular descriptors, subsequently modeling these data to predict and propose formulations with likely antiviral efficacy enhancements. The predicted formulations underwent experimental testing, resulting in the identification of combinations capable of inactivating 99.99% of viruses, including a notably efficacious formulation of five distinct fragrance types. This model demonstrates high predictive accuracy (coefficient determination Rcv2 > 0.7) and suggests a new frontier in antiviral strategy development. Our findings indicate the powerful potential of computational modeling to surpass human analytical capabilities in the pursuit of complex, fragrance-based antiviral formulations.

Effect Of Online Tracking System And Delivery Timeliness On Customer Satisfaction (Case Study On J & T Express Sampit)

The title of this study is the effect of Online tracking system and Keteptan delivery time on customer satisfaction (Case Study on J&T Express Sampit). This study was conducted at J & T Express Sampit which is located at Jalan MT. Haryono No. 095, Mentawa Baru Hulu, District. Mentawa Baru Ketapang, East Kotawaringin Regency, Central Kalimantan. This study was conducted on customers who use the services of J & T Express Sampit with accidental sampling technique. And the data were tested using validity test, reliability test, hypothesis test and analysis of research data using descriptive analysis, multiple linear regression analysis, correlation coefficient analysis and determination analysis. Based on the results of the hypothesis test in this study is a T-test for online tracking system variables (X1) IE t count 3.146 > t table 2.00324 and a significant level of 0.001 < 0.05 then H0 rejected and Ha accepted. This means that there is a significant influence of Online tracking systems on customer satisfaction. As for the T-test for variable timeliness of delivery (X2) is t count 4.763 > t table 2.00324 and a significant level of 0.000 < 0.05 then H0 rejected and Ha accepted. This means that there is a significant influence between the timeliness of delivery to customer satisfaction. Then for the F-test, namely F count 25.098 > F table 3.16 and a significant level of 0.000 < 0.05 means that simultaneously the Online tracking system and delivery timeliness have a significant effect on customer satisfaction. R number of 0.690 shows the relationship / correlation between customer satisfaction with the independent variable is strong (significant). Adjust R Square of 0.552 means that 55.20% of customer satisfaction variable (Y) can be explained by Online Tracking System variables (X1) and delivery timeliness (X2). While the remaining 44.8% were influenced by other variables that were not included in this study. Based on the results of multiple linear regression test obtained by the equation Y = 1.233+ 0.407 (X1) + 0.580 (X2) means that the score/value of the constant ( ③ ) shows that if there is no increase in the variables of the online tracking system and the accuracy of delivery time then the value of customer satisfaction is equal to 1.233. And each addition of one score / variable value of the online tracking system provides an increase of 0.407 to customer satisfaction with fixed X2 conditions and each addition of one score/variable value of delivery timeliness provides the same increase of 0.580 to customer satisfaction with fixed X1.