bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiments in micro-patterned model membranes support the narrow escape theory
Authors: Meiser Elisabeth , Mohammadi Reza , Vogel Nicolas , Holcman David , Fenz Susanne F.
Published: November 2023

The narrow escape theory (NET) predicts the escape time distribution of Brownian particles confined to a domain with reflecting borders except for one small window. Applications include molecular activation events in cell biology and biophysics. Specifically, the mean first passage time $$\bar{\tau }$$

τ

¯

can be analytically calculated from the size of the domain, the escape window, and the diffusion coefficient of the particles. In this study, we systematically tested the NET in a disc by variation of the escape opening. Our model system consisted of micro-patterned lipid bilayers. For the measurement of $$\bar{\tau }$$

τ

¯

, we imaged diffusing fluorescently-labeled lipids using single-molecule fluorescence microscopy. We overcame the lifetime limitation of fluorescent probes by re-scaling the measured time with the fraction of escaped particles. Experiments were complemented by matching stochastic numerical simulations. To conclude, we confirmed the NET prediction in vitro and in silico for the disc geometry in the limit of small escape openings, and we provide a straightforward solution to determine $$\bar{\tau }$$

τ

¯

from incomplete experimental traces.
A study of the spectral signal effect of self-holes in metal additive manufacturing components using laser-induced breakdown spectroscopy (LIBS)
Authors: Lin Jingjun , Hao Zexin , Yang Jiangfei , Che Changjin , Lin Xiaomei
Published: November 2023

This paper mainly studies the effect of self-hole defects in metal AM on LIBS spectral intensity.
On the use of NMR distance measurements for assessing surface site homogeneity
Authors: Perras Frédéric A. , Culver Damien B.
Published: November 2023

NMR is increasingly used to study the so-called well-defined sites on surfaces, but how sensitive is NMR really to site heterogeneity? This article assesses the ability of NMR-based distance measurement methods to resolve overlapping structures.
ZIF-8 encapsulation improves the antifungal activity of benzaldehyde and methyl anthranilate in films
Authors: Caamaño Katia , López-Carballo Gracia , Heras-Mozos Raquel , Glatz Jana , Hernández-Muñoz Pilar , Gavara Rafael , Giménez-Marqués Mónica
Published: November 2023

Two ZIF-8-based biocomposites were obtained by entrapping benzaldehyde and methyl anthranilate via direct impregnation with fast encapsulation kinetics and high molecule payloads, that incorporated in a zein film provided improved antifungal activity.
Nanostructured graphene oxide enriched with metallic nanoparticles as a biointerface to enhance cell adhesion through mechanosensory modifications
Authors: Pruchniewski Michał , Sawosz Ewa , Sosnowska-Ławnicka Malwina , Ostrowska Agnieszka , Łojkowski Maciej , Koczoń Piotr , Nakielski Paweł , Kutwin Marta , Jaworski Sławomir , Strojny-Cieślak Barbara
Published: November 2023

A graphene oxide nanofilm decorated with gold nanoparticles accelerated adhesion of cells by altering mechanotransduction and upregulating the expression of integrin α5β1, thus making it suitable for nanostructured coating for biomaterials.
Heteromeric guanosine (G)-quadruplex derived antenna modules with directional energy transfer
Authors: Zarandi Mohammad Amin , Pathak Pravin , Beltrami Noah , Walker Jada N. , Zhang Fengqi , Brodbelt Jennifer S. , Schmehl Russell , Jayawickramarajah Janarthanan
Published: November 2023

A heteromeric guanosine (G)-quadruplex centered self-assembly approach is developed to prepare compact light-harvesting antenna modules featuring multiple donor dyes and a single toehold region that can be hybridized with with an acceptor dye containing sequence, to produce directional energy transfer ensembles.
Probing the interlayer excitation dynamics in WS2/WSe2 heterostructures with broadly tunable pump and probe energies
Authors: Wang Anran , Yao Wendian , Yang Zidi , Zheng Dingqi , Li Songlin , Shi Yi , Li Dehui , Wang Fengqiu
Published: November 2023

Signatures of broadband ultrafast dynamics introduced by intra- and interlayer co-existing excitonic species in WS2/WSe2 heterostructures have been elaborated.
2D-MoS2-supported copper peroxide nanodots with enhanced nanozyme activity: application in antibacterial activity
Authors: Kumari Archana , Sahoo Jagabandhu , De Mrinmoy
Published: November 2023

Peroxidase (POD)-like nanozymes are an upcoming class of new-generation antibiotics that are efficient for broad-spectrum antibacterial action.
Gold nanoparticles decorated with monosaccharides and sulfated ligands as potential modulators of the lysosomal enzyme N-acetylgalactosamine-6-sulfatase (GALNS)
Authors: Buco Francesca , Matassini Camilla , Vanni Costanza , Clemente Francesca , Paoli Paolo , Carozzini Cosimo , Beni Alice , Cardona Francesca , Goti Andrea , Moya Sergio Enrique , Ortore Maria Grazia , Andreozzi Patrizia , Morrone Amelia , Marradi Marco
Published: November 2023

Modulation of N-acetylgalactosamine-6-sulfatase (GALNS) activity is a promising tool for treating metabolic disorders, neuropathic pain, and cancer. Gold nanoparticles coated with sugar and sulfated ligands were prepared and assayed for this purpose.
Silver-catalyzed nitrosation and nitration of aromatic amides using NOBF4
Authors: Li Sa , Liu Wentao , Xia Xiao-Feng
Published: November 2023

An efficient strategy for divergent aromatic ring nitrosation and nitration of aromatic amides was developed using NOBF4 as the electrophile under silver-catalyzed conditions.
Multifaceted luminescence in lanthanide-activated microrods for advanced multicolor anti-counterfeiting
Authors: Zheng Qianyu , Xie Lili
Published: November 2023

The increasing demand for robust anti-counterfeiting measures has prompted the development of advanced luminescent materials that offer multifaceted capabilities for secure information encryption and authentication.
An efficient and chemoselective method to generate arynes
Authors: Metze Bryan E. , Roberts Riley A. , Nilova Aleksandra , Stuart David R.
Published: November 2023

A chemoselective method to generate arynes by deprotonation of aryl(Mes)iodonium salts with potassium phosphate has been developed and was shown to be one of the most functional group compatible methods to form these reactive intermediates.
High throughput identification of complex rutile alloys for the acidic oxygen evolution reaction
Authors: Zhou Lan , Shinde Aniketa , Chang Ming-Chiang , Bruce van Dover R. , Thompson Michael O. , Gregoire John M.
Published: November 2023

Non-precious metal catalysts for acidic OER typically require a high concentration of activity-promoting elements, e.g., Mn. We describe the high throughput discovery of quinary oxide catalysts with low Mn concentration via mixing with Sb, Sn, and Ti.
Dy(OH)3: a paramagnetic magnetocaloric material for hydrogen liquefaction
Authors: Doheny Patrick W. , Chen Jiasheng , Gruner Thomas , Grosche F. Malte , Saines Paul J.
Published: November 2023

Dy(OH)3 has impressive magnetocaloric performance optimised around 20 K making it suitable for hydrogen liquefaction using magnetic cooling.
Portable microfluidic plasmonic chip for fast real-time cardiac troponin I biomarker thermoplasmonic detection
Authors: Campu Andreea , Muresan Ilinca , Potara Monica , Lazar Diana Raluca , Lazar Florin-Leontin , Cainap Simona , Olinic Dan Mircea , Maniu Dana , Astilean Simion , Focsan Monica
Published: November 2023

Portable microfluidic gold nanobipyramid-based biosensor for efficient, fast, real-time, on-site cardiac troponin I biomarker thermoplasmonic detection.
1T MoS2/CoS2 heterostructures enabling enhanced resistive switching behavior in sodium alginate-based flexible memristors
Authors: Jiao Zipan , Lan Xiaoyan , Zhou Xinglan , Wang Kunjie , Zong Haoran , Zhang Peng , Xu Benhua
Published: November 2023

1T MoS2/CoS2 nanorods are embedded with sodium alginate as an interlayer, resulting in the construction of Al/1T MoS2/CoS2-SA/ITO/PET FRRAM devices with excellent resistive switching properties and good stability.
The nitric oxide paradox: antimicrobial and inhibitor of antibiotic efficacy
Authors: Webster Calum M. , Shepherd Mark
Published: November 2023

It is well-known that antibiotics target energy-consuming processes and a significant body of research now supports the conclusion that the metabolic state of bacteria can have a profound impact upon the efficacy of antibiotics. Several articles implicate bacterial energetics and the respiratory inhibitor nitric oxide (NO) in this process, although pinpointing the precise mechanism for how NO can diminish the potency of a range of antibiotics through modulating bacterial energy metabolism has proved challenging. Herein, we introduce the role of NO during infection, consider known links between NO and antibiotic efficacy, and discuss potential mechanisms via which NO present at the site of infection could mediate these effects through controlling bacterial energetics. This perspective article highlights an important relationship between NO and antibiotic action that has largely been overlooked and outlines future considerations for the development of new drugs and therapies that target bacterial energy metabolism.
Cytokine activity in Parkinson’s disease
Authors: Dzamko Nicolas
Published: November 2023

The contribution of the immune system to the pathophysiology of neurodegenerative Parkinson’s disease (PD) is increasingly being recognised, with alterations in the innate and adaptive arms of the immune system underlying central and peripheral inflammation in PD. As chief modulators of the immune response, cytokines have been intensely studied in the field of PD both in terms of trying to understand their contribution to disease pathogenesis, and if they may comprise much needed therapeutic targets for a disease with no current modifying therapy. This review summarises current knowledge on key cytokines implicated in PD (TNFα, IL-6, IL-1β, IL-10, IL-4 and IL-1RA) that can modulate both pro-inflammatory and anti-inflammatory effects. Cytokine activity in PD is clearly a complicated process mediated by substantial cross-talk of signalling pathways and the need to balance pro- and anti-inflammatory effects. However, understanding cytokine activity may hold promise for unlocking new insight into PD and how it may be halted.
An energy consumption minimization resource allocation strategy in satellite‐terrestrial communication networks
Authors: Wang Yin , Gui Kang'An
Published: November 2023

In this letter, a joint route selection and time‐slot allocation problem is formulated in a satellite‐terrestrial communication system. An optimization problem that minimizes the total system energy consumption is proposed to solve the formulated problem. Two algorithms, including a multi‐time‐expanding graph‐based maximum transmission rate route (MTEG‐R) selection algorithm and a minimum system energy consumption ‐ Dijkstra (MSEC‐D) algorithm, are proposed to find the optimal route and time‐slot for data transmission, and simulation results demonstrate the effectiveness of the proposed scheme.
TSDet: A new method for traffic sign detection based on YOLOv5‐SwinT
Authors: Qian Yue Jing , Wang Bo
Published: November 2023

In real scenarios, accurate and real‐time detection of traffic signs is of great significance to the automatic driving system. To meet the requirements of detection accuracy and speed, a new traffic sign detection method based on YOLOv5 and Swin‐Transformer is proposed in this paper. First, based on the traditional Focus structure, a lightweight shallow information enhancement module is designed. Second, to enhance the channel weights of useful information, an adjustable channel attention mechanism is proposed. Additionally, a Cross Stage Partial module based on Swin‐Transformer is designed to capture contextual information around traffic signs, thereby improving the detection accuracy of small‐scale traffic signs. Finally, to better fuse deep semantic features and shallow detail features, an adaptive feature fusion method is proposed. To verify the superiority of the proposed method, experimental verification was carried out on TT100K and DFG traffic sign detection datasets, and their mAP, AP50 and FPS were (75.3, 94.8, 82) and (79.7, 85.9, 118), respectively. The experimental results show that the proposed traffic sign detection method has high accuracy and real‐time performance, and can meet the needs of traffic sign detection in the actual scene.
Design and implementation of isolated multilevel inverter with lower number of circuit devices
Authors: Abbas Ahmed , Siddique Marif Daula , Islam Shirazul , Iqbal Atif
Published: November 2023

Galvanic isolation is an integral part for the grid connected solar PV system. With the advancement of multilevel inverters for the grid‐connected application, the multilevel inverters having isolation are not sufficiently discussed in the literature. Here, a 15‐level isolated multilevel inverter topology requiring only 13 switches is proposed. The proposed single‐phase isolated converter requires reduced switches to generate 15‐level ac output voltage with voltage gain of 7. Comparatively, the switches connected in the proposed converter undergo less voltage stress as compared to the MLIs reported in the literature. A comparison of the proposed converter structure to the state‐of‐the art MLIs described in the literature is included. The experimental results captured on a low‐power laboratory prototype are used to validate the performance of the proposed converter. The claimed efficiency of the converter calculated using simulation results is found to be 97.1%. However, the efficiency calculated using experimental results is 95.2% at 700 W.
Nuclear spin ratios of deuterated ammonia in prestellar cores
Authors: Harju J. , Pineda J. E. , Sipilä O. , Caselli P. , Belloche A. , Wyrowski F. , Riedel W. , Redaelli E. , Vasyunin A. I.
Published: November 2023

Context. Molecules containing two or more hydrogen or deuterium atoms have different nuclear spin states which behave as separate chemical species. The relative abundances of these species can give clues to their origin. Formation on grains is believed to yield statistical spin ratios whereas gas-phase reactions are predicted to result in clear deviations from them. This is also true for ammonia and its deuterated forms NH2D, NHD2, and ND3.

Aims. Here we aim to determine the ortho/para ratios of NH2D and NHD2 in dense, starless cores, where their formation is supposed to be dominated by gas-phase reactions.

Methods. The Large APEX sub-Millimeter Array (LAsMA) multibeam receiver of the Atacama Pathfinder EXperiment (APEX) telescope was used to observe the prestellar cores H-MM1 and Oph D in Ophiuchus in the ground-state lines of ortho and para NH2D and NHD2. The fractional abundances of these molecules were derived employing three-dimensional radiative transfer modelling, using different assumptions about the abundance profiles as functions of density. We also ran gas-grain chemistry models with different scenarios concerning proton or deuteron exchanges and chemical desorption from grains to find out if one of these models can reproduce the observed spin ratios.

Results. The observationally deduced ortho/para ratios of NH2D and NHD2 are in both cores within 10% of their statistical values 3 and 2, respectively, and taking 3 σ limits, deviations from these of about 20% are allowed. Of the chemistry models tested here, the model that assumes proton hop (as opposed to full scrambling) in reactions contributing to ammonia formation, and a constant efficiency of chemical desorption, comes nearest to the observed abundances and spin ratios.

Conclusions. The nuclear spin ratios derived here are in contrast with spin-state chemistry models that assume full scrambling in proton donation and hydrogen abstraction reactions leading to deuterated ammonia. The efficiency of chemical desorption strongly influences the predicted abundances of NH3, NH2D, and NHD2, but has a lesser effect on their ortho/para ratios. For these the proton exchange scenario in the gas is decisive. We suggest that this is because of rapid re-processing of ammonia and related cations by gas-phase ion-molecule reactions.
Origin of the broadband emission from the transition blazar B2 1308+326
Authors: Pandey Ashwani , Kushwaha Pankaj , Wiita Paul J. , Prince Raj , Czerny Bożena , Stalin C. S.
Published: November 2023

Context. Transition blazars exhibit a shift from one subclass to the next during different flux states. It is therefore crucial to study them to understand the underlying physics of blazars.

Aims. We probe the origin of the multi-wavelength emission from the transition blazar B2 1308+326 using the ∼14-year long γ-ray light curve from Fermi and the quasi-simultaneous data from Swift.

Methods. We used the Bayesian block algorithm to identify epochs of flaring and quiescent flux states and modelled the broadband spectral energy distributions (SEDs) for these epochs. We employed the one-zone leptonic model in which the synchrotron emission causes the low-energy part of the SED and the high-energy part is produced by the inverse-Compton (IC) emission of external seed photons. We also investigated its multi-band variability properties and γ-ray flux distribution, and the correlation between optical and γ-ray emissions.

Results. We observed a historically bright flare from B2 1308+326 across the optical to γ-ray bands in June and July 2022. The highest daily averaged γ-ray flux was (14.24 ± 2.36) × 10−7 ph cm−2 s−1 and was detected on 1 July 2022. For the entire period, the observed variability amplitude was higher at low (optical/UV) energies than at high (X-ray/γ-ray) energies. The γ-ray flux distribution was found to be log-normal. The optical and γ-ray emissions are well correlated with zero time lag. The synchrotron peak frequency changes from ∼8 × 1012 Hz (in the quiescent state) to ∼6 × 1014 Hz (in the flaring state), together with a decrease in the Compton dominance (the ratio of IC to the synchrotron peak luminosities), providing a hint that the source transitions from a low-synchrotron peaked blazar (LSP) to an intermediate-synchrotron peaked blazar (ISP). The SEDs for these two states are well fitted by one-zone leptonic models. The parameters in the model fits are essentially consistent between both SEDs, except for the Doppler-beaming factor, which changes from ∼15.6 to ∼27 during the transition.

Conclusions. An increase in the Doppler factor might cause both the flare and the transition of B2 1308+326 from an LSP to an ISP blazar.
The ALMA-ALPINE [CII] survey: Kennicutt-Schmidt relation in four massive main-sequence galaxies at z  ∼  4.5
Authors: Béthermin M. , Accard C. , Guillaume C. , Dessauges-Zavadsky M. , Ibar E. , Cassata P. , Devereaux T. , Faisst A. , Freundlich J. , Jones G. C. , Kraljic K. , Algera H. , Amorín R. O. , Bardelli S. , Boquien M. , Buat V. , Donghia E. , Dubois Y. , Ferrara A. , Fudamoto Y. , Ginolfi M. , Guillard P. , Giavalisco M. , Gruppioni C. , Gururajan G. , Hathi N. , Hayward C. C. , Koekemoer A. M. , Lemaux B. C. , Magdis G. E. , Molina J. , Narayanan D. , Mayer L. , Pozzi F. , Rizzo F. , Romano M. , Tasca L. , Theulé P. , Vergani D. , Vallini L. , Zamorani G. , Zanella A. , Zucca E.
Published: November 2023

Aims. The Kennicutt-Schmidt (KS) relation between the gas and the star formation rate (SFR) surface density (Σgas − ΣSFR) is essential to understand star formation processes in galaxies. To date, it has been measured up to z ∼ 2.5 in main-sequence galaxies. In this Letter our aim is to put constraints at z ∼ 4.5 using a sample of four massive main-sequence galaxies observed by ALMA at high resolution.

Methods. We obtained ∼0.3″-resolution [CII] and continuum maps of our objects, which we then converted into gas and obscured SFR surface density maps. In addition, we produced unobscured SFR surface density maps by convolving Hubble ancillary data in the rest-frame UV. We then derived the average ΣSFR in various Σgas bins, and estimated the uncertainties using a Monte Carlo sampling.

Results. Our galaxy sample follows the KS relation measured in main-sequence galaxies at lower redshift, and is slightly lower than the predictions from simulations. Our data points probe the high end both in terms of Σgas and ΣSFR, and gas depletion timescales (285–843 Myr) remain similar to z ∼ 2 objects. However, three of our objects are clearly morphologically disturbed, and we could have expected shorter gas depletion timescales (≲100 Myr) similar to merger-driven starbursts at lower redshifts. This suggests that the mechanisms triggering starbursts at high redshift may be different than in the low- and intermediate-z Universe.
Framework for Digital Forensic Ethical Violations: A Systematic Literature Review
Authors: Firdonsyah Arizona , Purwanto Purwanto , Riadi Imam
Published: November 2023

Handling digital forensic cases plays a critical role in maintaining public interest and trust. However, the lack of an ethical code in digital forensics work processes can compromise the integrity and reliability of inspection results. This study aims to address this issue by conducting a systematic literature review (SLR) to explore existing standards for digital forensic frameworks. This study uses SLR techniques to identify and map various digital forensic investigation processes described in the literature. While there are some topics that address digital forensic frameworks in this review, we find it to be overwhelmingly focused on testing or evaluating digital forensic investigations. Unfortunately, the reviewed frameworks often neglected the code of ethics validation process, leaving the potential for ethical violations in the field of digital forensics. Integrating ethical considerations into existing frameworks is essential to ensure the credibility and reliability of digital forensic investigations. This study highlights the need to establish comprehensive policies and standards that include not only technical aspects but also ethical practices. In this way, digital forensics professionals can effectively maintain professional ethics, mitigate ethical violations, and restore public confidence in their findings. Future research should focus on the development and implementation of robust ethical frameworks in the field of digital forensics.
Occupational Safety and Health Risk Assessment in an Electronic Manufacturing Company in Indonesia
Authors: Prastawa Heru , Mahachandra Manik , Zaka Waly Ghiffari
Published: November 2023

The health and safety team at Sharp Electronics Indonesia Ltd identified two departments that urgently needed evaluation: Cabinet PU B Department and Total PU B Department, as they have the highest potential for accidents. Based on historical data from work accident reports from the Refrigerator Division between 2015 and the beginning of January 2020, two departments had a tendency to experience work accidents annually: the Door PU A Department and the Roll Forming B Department. The objective was to identify potential hazards in the production process, assess the risk that arises from the production process, and provide risk control recommendations for each department in the Refrigerator Division. The HIRARC approach was used to identify potential dangers by linking potential hazards between workers, tasks, work equipment, and the work environment in an orderly manner. Hazards were identified using the JSA method. Risk assessment was conducted using a semi-quantitative analysis, and risk control was done using a risk control hierarchy. Based on the risk assessment, the risks that needed to be addressed through risk control were head injury, being hit by a cabinet, decreased hearing function, lower back pain, being hit by a compressor, and having a hand clamped by a conveyor. The identification and assessment of occupational accident risks in the four departments revealed six potential occupational accident risks. The highest risk value was head injury and being hit by a cabinet, which were in the very high category in the Cabinet PU B and Total PU B departments.
Relationship Between Satisfaction of Food Service with Energy and Macronutrients Intake of Islamic Boarding School Students in Malang City, Indonesia
Authors: Amalia Firanida , Katmawanti Septa , Paramita Farah , Kurniawan Agung , Fauzi Rosuzeita
Published: November 2023

Based on observations, there were several problems in terms of student satisfaction with the food service. This study aimed to determine the relationship between food satisfaction with energy and macronutrients intake. The method used was quantitative with a cross sectional study design. The sample in this study consisted 96 female students from the junior high school level and from high school students and the sample selection used simple random sampling. The data analysis technique used the Spearman correlation test. The results obtained from this study indicate that 52.1% of respondents who were satisfied with the organization of food at the Islamic boarding school, while 47.9% were dissatisfied. The energy intake of most of the respondents was in the less category (56.6%), carbohydrate intake was in the more category (80.2%), very less protein intake (56.3%), and less fat intake (75% ). The relationship between the two variables showed that there was no relationship between satisfaction with energy intake and macronutrients. Suggestions that can be given to next research are expected to be able assess satisfaction from the food obtained in the islamic boardong school canteen, because students’ food intake is not only obtained from the islamic boarding school kitchen.
The Outstanding Value of a Cultural Heritage: The Old City of Semarang as the Center for Global Trade in Java, Indonesia in the 18th – 20th Centuries
Authors: Yuliati Dewi , Susilowati Endang
Published: November 2023

Semarang Old City is located in Semarang City, Central Java, Indonesia. This article contains the discussion on the history of Semarang Old City as the center of global trade activities. This Old City was founded at the end of 17th century after an agreement was approved by the Mataram Kingdom and the
Vereeniging van Oost-Indische Compagnië (VOC/The Dutch East Indie Company) in 1678, that led VOC to take control over the north coastal region of Java from the Prince of the Mataram Kingdom, Amangkurat II. Based on this agreement, VOC was given the right to choose the areas near the center of Semarang Regency and Semarang River as its residence in order to easily control the Javanese administration and the Java Sea trading activities. Later on, the colony of the VOC developed into a little city surrounded by a fortress in which the VOC leaders, its officers, and soldiers resided, and some city’s facilities were built such as municipality house (stadshuis), trading offices, shops, roads, soldier barracks, warehouses, schools, hospital, church, court, prison, and residential areas. In the Dutch Colonial era (18th – 20th centuries), this old city become the center of international trade activities in Central Java strengthened by the presence of Semarangs Handels Vereeniging (Association of Traders in Semarang) and Nederlandsche Handels Maatshappij (Dutch Trade Company), which managed the import-export trade.
Design of Inventory Management Information System Using Periodic Review Method
Authors: Alim Ilmam Fauzi Hashbil , Isnanto R. Rizal
Published: November 2023

Inventory management, especially those related to office equipment in an organization or company, is an important thing to do. Goods that are not managed properly have the potential to increase costs and inventory shortages. Inventory management is a solution to manage goods properly. Inventory management was then further developed using the periodic review method. This study discussed how the periodic review method is used to manage the needs of office stationery in universities. The waterfall method was chosen to be a reference in the development of information systems. The information system framework was divided into three parts, which consist of input, process, and output. The output of the information system was in the form of parameter information (R, s, S) for each item. The results of the study have shown that the periodic review method is very useful to use to make decisions about the right time and amount in determining the replenishment of goods in university.
Small Medium Enterprise Data Visualization Analysis as Strategic Business Development
Authors: Arifin Fajrin Nurman , Cahyarani Adelia Arinda , Ariful Furqon Muhammad , Juwita Oktalia
Published: November 2023

Micro, Small, and Medium-Sized Enterprises (MSMEs) are economically productive enterprises that are privately owned. The purpose of micro, small, and medium-sized enterprises is to grow and develop the national economy in tandem with the objective of creating a competitive Indonesian society through local economic growth. Data science is a body of knowledge that incorporates a number of concepts and analytical techniques capable of solving contemporary problems. The implementation of data visualization is an effective method for discovering insights or information concealed within data. This investigation makes use of MSME data for the Jember district for the period 2020-2021. Using the scatter plot model, asset attributes and MSME turnover by region (sub-district) and business type were utilized to visualize the data. The dataset used in the analysis process has been pre-processed to ensure that the research conducted is relevant to the problem to be solved. The scatter plot model was selected for the visualization technique due to its ability to visualize data with attribute characteristics that have a correlation or attachment. Based on the results of a data analysis visualizing the productivity achievements of MSMEs in Jember Regency for the period 2020-2021, the level of achievement for MSME turnover in Jember Regency is no more than Rp. 25,000,000,-. Based on the findings of the analysis, the average proportion of MSMEs at this level is 92%. The results of the analysis also indicate that the type of trading business achieves the greatest turnover. The results of a comparative analysis of data on turnover achievements with assets indicate that the types of production and service businesses have the highest percentage, 64%, whereas the types of trading businesses score 56%.
Prevalence and Factors Associated with the Use of Standard Helmets among Motorcyclists among workers in Indonesia
Authors: Rachmat Basuki , Irianto Joko , Handayani Kartika , Kristanto Antonius Yudi , Sulistiyowati Ning , Ashar Hadi , Senewe Felly Philipus , Kristanto Mulyantoro Donny , Suratri Made Ayu Lely , Rustika Rustika , Musadad Dede Anwar
Published: November 2023

Information about wearing standardized and fastened helmets has yet to be explicitly conveyed at the national level to workers in Indonesia. This study aims to determine related factors to standardized helmet usage (use of helmets that meet national standards and fastened clasp) among workers in Indonesia in 2018. The analysis used secondary data from the Indonesian Basic Health Research in 2018. The research design was cross-sectional, with the number of samples that met the inclusion criteria being 278,404 workers of productive age (18-64 years) from 34 provinces in Indonesia. The variables used consist of socio-demographic data, socioeconomic status, and knowing how to use helmets for workers in Indonesia. The data analysis used multivariate logistic regression statistical methods to determine the relationship between the type of work and other factors in standardized helmet use. Most respondents are workers in the informal sector (77.0%), whereby 40.6% used standardized helmets. The multivariate logistic regression model showed that the factors associated with standardized helmet use include education, place of residence (urban), occupation, and social status. The higher the level of education and social status of the worker, the higher their awareness of standardized helmet usage when driving. Therefore, it is necessary to increase awareness of standardized helmet usage, especially for workers in the informal sector with low education and socioeconomic status. Standardized helmet usage by workers provides greater protection against head injuries and reduces the severity of injuries among motorcyclists.
Geographic Information System Mapping of Public Works Infrastructure of Kebumen Regency
Authors: Afuan Lasmedi , Hidayat Nurul , Maryanto Eddy , Permadi Ipung , Puspita Rahayu Swahesti , Cahyono Teguh , Chasanah Nur , Indra Kurniawan Yogiek , Wijyanto Bangun , Iskandar Dadang , Nofiyati  , Jumantono Agus
Published: November 2023

Geographic Information System (GIS) is an information system that combines graphical (visual) data with text data (attributes) of geographically referenced objects on the Earth's surface. GIS is widely used today in various fields, including analysis, industries, and individual activities such as finding locations or routes to specific destinations. In this research, GIS is used to manage the digitization of infrastructure mapping in Kebumen Regency. The development objective of the GIS is to process and analyze the spatial data of infrastructure locations to generate accurate information. The waterfall method is employed in the development of this system, encompassing stages of analysis, design, implementation, testing, and maintenance using the CodeIgniter framework. The outcome of this research is the Geographic Information System for Mapping Public Works Infrastructure in Kebumen Regency based on Leaflet. The GIS infrastructure of Kebumen Regency facilitates the public in accessing information about the existing infrastructure in the area. The testing results using the black box testing method demonstrate that the system aligns with the defined requirements. The objective of this research is to develop a Geographic Information System (GIS) that can manage and analyze the spatial data of infrastructure in Kebumen Regency, resulting in accurate information. The waterfall method is used in the development of this system, with stages including analysis, design, implementation, testing, and maintenance using the CodeIgniter framework. The outcome of this research is the Geographic Information System for Mapping Public Works Infrastructure in Kebumen Regency based on Leaflet. With the GIS infrastructure of Kebumen Regency, the community can easily access information regarding the infrastructure in the area. This system enables users to visualize the locations of infrastructure and obtain attribute or text data related to those infrastructure objects. Through testing using the black box testing method, the system has been proven to meet the predefined requirements. This indicates that the developed GIS is reliable and provides accurate information about the infrastructure in Kebumen Regency. Thus, the development of this GIS provides significant benefits in managing spatial data of infrastructure and delivering accurate information to the public. This research has successfully achieved its objectives and produced a Geographic Information System that can be utilized as a tool for infrastructure mapping and spatial data analysis in Kebumen Regency.
The Review of Technology in Monitoring the Heart Health of the Elderly
Authors: Sobri Muhammad , Ijab Mohamad Taha , Nayan Norshita Mat , Tondas Alexander Edo , Fipiariny S.
Published: November 2023

This paper reviews the technology to assist the elderly in monitoring their heart health. Post-COVID19 pandemic, heart disease is back as the main cause of death among the global citizens, especially the elderly. Technology plays a big role in ensuring that elderly can monitor their heart health more easily and effectively. Among the technologies that can be used are wearable devices, mobile ECG devices, mobile applications, pacemaker implants, and IoT sensors. Some of the potentials of heart health monitoring technology include helping to monitor health independently, in real time, remotely, schedule medication intake, schedule heart rate recording, schedule light physical activity, and communicate directly with specialist doctors to discuss the status and level of their heart health. However, the potential of such technology has several challenges such as usability, affordances, cost, and trust in data confidentiality and privacy.
Impact of Feature engineering for Improved Sentiment Analysis in Amazon Product Reviews Using K-Nearest Neighbor
Authors: Lestari Putri Nitami , Warsito Budi , Surarso Bayu
Published: November 2023

Online reviews are an important factor that encourages consumers to make purchases through e-commerce. However, it is challenging to objectively assess the sentiments expressed by actual consumers due to the prevalence of fraudulent reviews. This study focuses on sentiment analysis and seeks to uncover the best feature combinations based on review and reviewer centric approach. The results of the study show that the combination of feature Rating, VerifiedPurchase, ReviewLengths, and (CV+TF-IDF) = 1400 words with the application of KNN classification provides the best accuracy rate of 83%. The results of this study can assist consumers in making purchasing decisions and seller in increasing the value of their products and services based on the feedback provided by customers.
Latest Algorithms in Machine and Deep Learning Methods to Predict Retention Rates and Dropout in Higher Education: A Literature Review
Authors: Utomo Andy Prasetyo , Purwanto Purwanto , Surarso Bayu
Published: November 2023

External factors, such as global impact, or internal factors, such as educational services or the quality of learning, can affect the Retention rate or Number of Dropouts (DO) of students in higher education. Higher education institutions must have a strategy to manage retention rates properly. They can take an initial approach by knowing the estimated retention rate or the number of DOs so they can anticipate it by determining the right strategy. Several researchers have researched retention prediction or DO using specific methods and algorithms. This literature review aims to provide an overview and analysis of the methods and algorithms used to predict retention rates or the Number of DOs of students in higher education and to know the latest trends in developing the algorithms used in predicting retention rates or DO. The method used in this research is the traditional literature review. We have identified Twenty-one articles according to the theme. From the article, there are 21 machine learning algorithms, 13 deep learning algorithms used, seven time-series algorithms, four feature selection algorithms, and three combinations of algorithms used. The review results show that deep learning algorithms provide higher accuracy values than machine learning algorithms, and the recent trend of using algorithms to predict retention levels or DO is towards using time series algorithms in deep learning methods.
Decision Support System for Indonesia Smart Card (KIP) Scholarship Selection Using The AHP And VIKOR Method Integrated with EKTP
Authors: Winarno  , Prasetyo Agung , Wijayanto Ardhi
Published: November 2023

. The Indonesia Smart Card (KIP) for college is a government-sponsored educational assistance program that builds upon the foundation of the Bidikmisi scholarship, providing continued support for eligible students. In the 2018/2019 academic year, Sebelas Maret University Surakarta (UNS) received approximately 2,000 applicants, while the recipient quota was limited to less than 1,000. In the current selection process for KIP UNS scholarships, the criteria weighting method is utilized. However, there is a notable absence of consistency checking during this crucial process. Additionally, incorporating consistency checks is imperative to attain an optimal solution and mitigate the risks associated with subjective decision-making. Relying solely on Microsoft Excel software can also restrict data accessibility and availability. Therefore, this study aims to address the issue of inconsistency in KIP scholarship process by proposing Decision Support System that incorporates consistency checking and improves decision outcomes. The AHP and VIKOR method were used in providing recommendations for KIP scholarship recipients. By employing the AHP method, the calculated weighting criteria exhibited consistency, as indicated by a ratio value of 0.0746. The result showed that VIKOR produced a ranking of KIP scholarship candidates, validated by the confusion matrix method, indicating an accuracy and error rate value of 87% and 13% respectively. These findings confirmed that the AHP and VIKOR method serve as an effective decision-support solution for selecting KIP scholarship recipient
Development of Customer Loyalty Measurement Application using R Shiny
Authors: Oktavia Cintika , Warsito Budi , Kadarrisman Vincensius Gunawan Slamet
Published: November 2023

Shopee is a successful e-commerce platform in Southeast Asia today, becoming the leading choice for customers who want to shop online and has built loyal relationships with customers. Apart from Shopee, many other e-commerce companies also emphasize the importance of building customer loyalty as their primary goal. This research will explore the main factors that play a role in creating Shopee customer loyalty. By measuring customer loyalty, which refers to the variables of customer satisfaction, promotions, data security, and customer service. Through the Structural Equation Modeling Partial Least Squares (SEM-PLS) method. Research data was obtained by distributing questionnaires to 180 customers who purchased on Shopee, distributed via TikTok. The research results show that two hypotheses were tested to understand the influence of variables on customer loyalty. The results show that customer satisfaction has a significant impact that exceeds other variables in creating customer loyalty. Promotion and data security also contribute positively, while customer service, although it has a positive effect, is not significant in influencing customer loyalty. The research conclusion emphasizes customer satisfaction as the primary strategy for maintaining and increasing customer loyalty, especially in the tight competitive environment in the e-commerce industry.
Evaluating the Influence of EA Capabilities on Digital Transformation in the Ministry of Finance of Indonesia
Authors: Zulfikar Faqih , Selo  , Winarno Wing Wahyu
Published: November 2023

Enterprise Architecture (EA) has been adopted by the Ministry of Finance (MoF) of Indonesia since 2018 as a strategic methodology to achieve the MoF's organizational goals more effectively and efficiently by defining, mapping, aligning and integrating business domains, data, applications and technology. EA's role in digital transformation is listed in the MoF's EA Vision, namely as an orchestrator who accelerates and harmonizes digital transformation in the MoF and focuses on outcomes. However, a number of stakeholders considered that the value provided by EA to support the MoF's digital transformation was considered not optimal. This is allegedly caused by the insufficient maturity level of the MoF's EA capability. The purpose of this paper is to analyze the perceptions of the MoF's EA Team on the maturity of EA capabilities and their influence on the MoF's digital transformation. The methodology used in analyzing this effect is the Partial Least Square Structural Equation Model (PLS-SEM). The research findings demonstrate that the MoF's EA capabilities, categorized into enabler capability and utilization capability, have a significant positive influence on the digital transformation within the MoF.
Aspect-Based Sentiment Analysis of Avatar 2 Movie Reviews on IMDb Using Support Vector Machine
Authors: Pandunata Priza , Nurdiansyah Yanuar , Alfina Fitri Dwi
Published: November 2023

In the digital age, IMDb plays a crucial role in influencing audience movie choices. However, IMDb's movie ratings lack detailed information about specific aspects of films considered important in the industry's evaluation of audience responses. To address this gap, we conducted aspect-based sentiment analysis on 3198 reviews of Avatar 2. We focused on narrative and cinematic elements in the movie reviews, such as character, conflict, location, time, mise-en-scene, cinematography, editing, and sound. After data collection, we labeled the aspects and sentiments, and through TF-IDF weighting and SMOTE balancing, we performed sentiment classification. The Support Vector Machine model with SMOTE proved most effective, highlighting crucial features often discussed by audiences in both positive and negative sentiments. This analysis provides valuable insights for the film industry, aiding in better movie production, marketing, and a deeper understanding of audience preferences. Our research demonstrates the significance of aspect-based sentiment analysis in guiding future film-making endeavors.
Advancing Accessibility: An Artificial Intelligence Framework for Obstacle Detection and Navigation Assistance for the Visually Impaired
Authors: Triyono Liliek , Gernowo Rahmat , Prayitno  , Cholil Saifur Rohman , Hestiningsih Idhawati , Wiktasari  , Fahriah Sirli
Published: November 2023

The white cane has long been a fundamental tool for individuals with visual impairments, aiding in surface detection and obstacle identification. However, its limitations in detecting moving objects and distant obstacles pose significant safety risks, particularly in congested areas and busy streets. While service animals offer an alternative, they come with training challenges and high costs. To address these limitations and enhance safety, this paper proposes a comprehensive collision detection and prevention system. The proposed system integrates cutting-edge technologies, including image processing, deep learning, Internet of Things (IoT), cloud computing, and audio production devices. By combining these technologies with the white cane, the system offers a sophisticated navigation option for the visually impaired, effectively detecting and preventing potential collisions. In busy environtment scenarios, the system proves its effectiveness by complementing the white cane's use, overcoming its inherent limitations, and significantly improving navigation capabilities. Through this innovative approach, blind individuals gain enhanced situational awareness, empowering them to navigate diverse environments with increased confidence and safety. By mitigating the drawbacks of the white cane, the proposed system provides a comprehensive and cost-effective solution to enhance the mobility and safety of the visually impaired. This research contributes to the advancement of assistive technologies, offering a valuable resource for researchers, policymakers, and practitioners in the field of accessibility and inclusive design.
Machine learning approach to customer sentiment analysis in twitter airline reviews
Authors: Pujo Ariesanto Akhmad Ekka , Adi Kusworo , Puji Widodo Aris
Published: November 2023

Customers typically provide both online and physical services they use ratings and reviews. However, the volume of reviews might grow very quickly. The power of machine learning to recognize this kind of data is astounding. Numerous algorithms that could be employed for job of sentiment analysis have been developed to categorize tweets about airline sentiment into positive, neutral, or negative categories, this study compares the effectiveness algorithm for machine learning Naive Bayes (NB), Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Adaboost, Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGBM), and Random Forest (RF) dividing the Twitter airline sentiment data into positive, neutral, or negative categories using the TF IDF model. The experiment involved two phases of activity: a classification algorithm utilizing SMOTE and sans SMOTE with Stratified K-Fold CV algorithm. With the RF model, the greatest performance accuracy for SMOTE is 97.56%. Without SMOTE, the RF with a value of 92.21% provides the maximum performance accuracy. The findings demonstrate that SMOTE oversampling can improve sentiment analysis accuracy.