bluuebunny/crossref_metadata_2025 huggingface dataset:
Stock Price Prediction Using Machine Learning Models: A Study of NSE Stocks
Authors: Kushwaha Akash Mahendra , Malhotra Ronit Rohit , Manchhani Nikhil Naresh , Narwani Vansh Gopal
Published: March 2024

Abstract: This paper presents a study on stock price prediction utilizing the ARIMA and Linear Regression algorithms, focusing on companies listed on the National Stock Exchange (NSE) of India. The aim is to compare the predictive accuracies of these models while considering the lifetime data of stocks obtained through the Yahoo Finance API. Through comprehensive analysis, historical stock data spanning the entire lifespan of the stocks is utilized, enabling a thorough exploration of long-term trends and patterns. It was inferred that for NSE (Indian Company) stocks and Linear Regression prove to be more efficient than ARIMA. The research methodology involves data retrieval, preprocessing, and model training, with Python being the primary programming language for implementation. Findings indicate the effectiveness of ARIMA and Linear Regression models in forecasting NSE stock prices, with implications for financial decision-making and investment strategies. This study contributes to the understanding of machine learning applications in the stock market domain, emphasizing the importance of leveraging comprehensive historical data for enhanced predictive performance.
Peran Majelis Tabligh dalam Membangun Komunikasi Persuasif Kelompok Muallaf Pasca Konversi Agama di Dusun Tugunongko Kabupaten Ponorogo
Authors: Alfi Alfiana Yuniar Rahmawati
Published: March 2024

ABSTRAK

Penyebaran misi kristenisasi dan pemurtadan umat menjadi fenomena yang akan terus terjadi. Masyarakat dengan dasar pondasi aqidah yang lemah menjadi sasaran utama untuk melancarkan gerakan misi yang berorientasi pada perekrutan jemaat sebanyak-banyaknya. Secara nyata, hal ini terjadi pada masyarakat di Dusun Tugunongko, Kabupaten Ponorogo. Sosialisasi misi kristenisasi dilakukan dengan upaya pemenuhan kebutuhan pokok masyarakat untuk menjustifikasi tataran ekonomi baru dan keagamaan baru sebagai nilai dari misi tersebut. Majelis Tabligh sebagai lembaga dakwah Islam memiliki otoritas penuh untuk membentengi gerakan misi dan mengajak masyarakat untuk kembali kepada agama Islam. Proses pendekatan dilakukan melalui strategi komunikasi persuasif yang berorientasi pada pembentukan tataran kehidupan baru berlandaskan ajaran islam. Jenis penelitian ini adalah kualitatif deskriptif dengan pendekatan studi kasus. Hasil penelitian menunjukkan bahwa pelaksanaan gerakan Majelis Tabligh dilakukan dengan mengoptimalkan komponen komunikasi persuasif yang bersifat multiaspek. Upaya ini bertujuan untuk memperkuat aqidah sekaligus sebagai pembinaan umat demi mempertahankan eksistensi agama Islam di dusun Tugunongko.

Kata Kunci: Komunikasi Persuasif, Majelis Tabligh, Kelompok Muallaf
Komunikasi Krisis Polri dalam Meningkatkan Reputasi dan Kepercayaan Masyarakat Setelah Tragedi Sepak Bola di Kanjuruhan
Authors: Rofiki Rahman Ahmad , Astriani Arnia
Published: March 2024

Polri menghadapi krisis kepercayaan setelah terjadinya tragedi sepak bola di Kanjuruhan. Masyarakat menilai instansi yang harus bertanggung jawab pertama adalah polisi karena polisi yang menembakkan gas air mata dengan sengaja ke tribun penonton yang tidak melakukan apa-apa. Menurut Lembaga Survei Indonesia (LSI) tingkat kepercayaan masyarakat terhadap Polri mengalami penurunan drastis sebesar 19%, yang dimana tingkat kepercayaan sebelumnya mencapai 72% pada bulan Agustus 2022 dan menjadi 53% pada bulan Oktober 2022. Tujuan dari penelitian ini adalah untuk mengidentifikasi komunikasi krisis yang dilakukan oleh Polri dalam meningkatkan reputasi dan kepercayaan masyarakat pasca tragedi sepak bola di Kanjuruhan Malang dengan menggunakan teori komunikasi krisis situasional dan teori pemulihan citra. Penelitian ini merupakan jenis penelitian kualitatif dengan pendekatan studi literatur dan sumber data primer yang berasal dari website resmi Polri yaitu www.humas.polri.co.id. BerdasarkanTeori Komunikasi Krisis Situasional dalam tragedi Kanjuruhan Malang termasuk kategori kelompok sengaja atau kelompok kesengajaan, hal ini karena masyarakat menilai bahwa bersenang-senang gas air mata ke arah tribun penonton yang tidak melakukan anarkis merupakan tindak kesengajaan dari Polri. Oleh karena itu, Polri berusaha mengembalikan reputasi dan kepercayaan masyarakat yang menurun secara drastis dengan menggunakan Image Restoration Theory .
Etnografi komunikasi Pengemudi Ojek Daring di Malang
Authors: Windaningsih Windaningsih
Published: March 2024

Para pengemudi ojek daring memiliki cara yang unik untuk mendapatkan orderan. Mereka tidak hanya pasif menunggu distribusi order melalui aplikasi, tetapi mereka mencoba untuk menjemput bola dengan berbagai upaya. Salah satunya dengan menjalin komunikasi dengan komunitas pengemudi yang mereka miliki. Hal inilah yang menarik minat peneliti untuk mengkaji pola komunikasi pengemudi ojek daring Grab di Malang dalam upaya mendapatkan orderan. Penelitian ini menggunakan pendekatan kualitatif dengan desain penelitian yaitu study Etnografi komunikasi. Penelitian ini menggunakan paradigma interpretif yang mengkhususkan pada penemuan berbagai pola komunikasi yang digunakan oleh manusia dalam sebuah masyarakat tutur. Hal ini dilakukan dengan mengamati tiga tahapan yaitu 1. Identifikasi peristiwa komunikasi yang terjadi secara berulang. (Recurrent Event) menunjukkan bagaimana identifikasi peluang pemesanan jasa ojek daring yang dilakukan dengan menandai dan berbagi informasi tentang pelanggan 2. Inventarisasi komponen komunikasi yaitu dengan adanya grup whatsapp dan penggunaan kode verbal dan nonverbal dalam proses interaksi dan komunikasi. Seperti adanya istilah suhu, longtrip, gacor, anyep dan sebagainya. Selain itu juga penggunaan kode nonverbal lambaian tangan, membunyikan klakson dan mengedipkan lampu juga digunakan. Ke-3 Menemukan pemolaan komunikasi dengan temuan bahwa Pola Komunikasi pengemudi ojek daring dilakukan secara langsung maupun menggunakan media sosial, baik saat mereka sedang berkumpul atau pada saat mereka sedang dalam perjalanan. Predikat ‘Suhu’ yang diberikan kepada pengemudi yang beruntung mendapatkan order longtrip menjadikan pengemudi tersebut melakukan role taking untuk menunjukkan performa terbaik mereka
Characteristics of Hyloceregurt: Fermented Milk from Stems and Peel of Dragon Fruits
Authors: Sulistyarini Indah , Palupi Dwi Hadi Setya , Hesti Ariani
Published: March 2024

Background: Fruitghurt, the result of fruit or fruit by-product fermentation, is a functional food. Functional foods are foods that are rich in benefits. A formulation of hyloceregurt has been derived from the stem and peel of the dragon fruit (Hylocereus polyrhizus), with potential as an immunomodulatory agent. Objectives: This study is aimed at determining the quality of hyloceregurt. Material and Methods: Hyloceregurt formula variations are made from fermented stem powder, fruit peel powder, or dragon fruit peel juice. The test include physical characteristics, chemical analysis, microbiology analysis, and hedonic test. Results: Hyloceregurt formula from the stems of the plant and the peel of the dragon fruit has almost the same physical characteristics that include a distinctive smell, an acidic taste with a pH ranging from 3-5, and a thick liquid consistency. The color of the hyloceregurt follows the waste of the dragon fruit used (pink and green). The chemical characteristics of hyloceregurt have met the SNI standard, including fat content with a range of 3.1-3.6% and protein content with a range of 4.95–6.74% b/b. The microbiological characteristics of hyloceregurt indicate that the value of the total plate figure is in the range of 1.1-3.3 x 109 CFU/mL. Panelists on the hedonic test preferred three formulas: 1% hyloceregurt from the peel powder or fresh peel fruit juice, and dragon fruit plant stems based on smell, taste, color, and consistency. Conclusions: All formulas in 1% fruit or by-fruit were the most preferred formulas, and based on the best physical characteristic tests and chemical content analysis, met the requirements of SNI 2981 of 2009. However, microbiologically, they still did not meet the requirements of SNI 2981 of 2009, so further tests still need to be carried out.
Projections of heavy precipitation characteristics over the Greater Alpine Region using a kilometer-scale climate model ensemble
Authors: Estermann Rebekka , Rajczak Jan , Velasquez Patricio , Lorenz Ruth , Schaer Christoph
Published: March 2024

This study presents the detailed analysis of a novel and
first-of-its-kind 10-year multi-model ensemble of kilometer-scale
convection-permitting climate model (CPM) simulations over the Greater
Alpine Region. The simulations were obtained by downscaling global
climate model (GCM) projections using regional climate models (RCMs) and
further downscaling to the kilometer scale using convection-permitting
climate models (CPMs) . This study evaluates the CPMs and assesses their
added value with respect to RCMs regarding basic and heavy precipitation
characteristics. In addition, this study assesses projected changes for
the end of the century. The analysis is performed for climatological
seasons, for different temporal aggregations between 1 hour and 5 days,
and for various precipitation indices.. ERA-Interim-driven and
historical GCM-driven CPM simulations are compared against daily and
hourly observational datasets, as well as their driving RCM counterparts
to evaluate their performance and added value. Evaluation reveals that
CPMs refine spatial patterns, reduce the overestimation of precipitation
frequency and better capture intense precipitation characteristics,
especially on the sub-daily scale and in summer. Climate change
projections show an intensification of precipitation for all seasons and
across all temporal aggregation levels. During summer, mean
precipitation and precipitation frequency are projected to decrease,
especially in the Mediterranean. In winter, an increase is projected
across most parts of the Alps. CPMs and RCMs show agreement, with CPMs
indicating slightly amplified signals and reduced model spread. The
findings are consistent with previous studies using individual
simulations, but provide one of the first multi-model assessment of
projections in heavy precipitation over the Alps.
Electric Signals in Machine Learning Using AppInventor and Arduino
Authors: Xixi Chrysoula , Vlachodimitropoulou Argyro , Stathopoulou Georgia , Panagiotou Andreas , Papastathakopoulos Panagiotis , Psycharis Sarantos
Published: March 2024

Recent developments in Artificial Intelligence (AI) have introduced machine learning and its applications into everyday life. As technology becomes increasingly integrated into the educational system, researchers are focused on developing tools that allow students to interact with machine learning in a way that sparks their curiosity and teaches them essential concepts. Our instructional proposal, titled “Electric Signals in Machine Learning Using App Inventor,” focuses on applying learning, transfer, and classification models of audio spectrograms to teach students in the first year of high Secondary school (A’ Lyceum) fundamental concepts of machine learning. This is accomplished using MIT App Inventor and Arduino’s visual programming environments. Students will use the website “Personal Audio Classifier” to train an audio model and App Inventor to connect computer science and machine learning. In addition, with the aid of the Arduino microcontroller, students will engage in visualising Morse code signals and investigating Physical Computing, allowing them to create digital solutions that connect to the real world.
Assessment of Data Representation in Scratch Via the SOLO Taxonomy
Authors: Ladias Anastasios , Karvounidis Theodoros , Ladias Dimitrios , Douligeris Christos
Published: March 2024

The work addresses the significance of robotics in education, emphasizing its role in enhancing STEM skills through programming and sensory feedback. Scratch, a multimedia programming environment, is highlighted as a tool for robotic projects. Within Scratch, this work discusses data representation, distinguishing between visible and transparent data. The current work focuses on the visible data. Variables in Scratch are made tangible, helping users understand their function. Developers define their own data, such as values, variables, lists, and call parameters, while Scratch also provides system data. This system data can be numeric, alphanumeric, or logical, and its representation in code varies. To evaluate how data are used in Scratch by novice programmers, this work also proposes an evaluation framework using the Structure of the Observed Learning Outcome (SOLO) taxonomy. This evaluation framework can be used by the teacher as a tool either to evaluate with measurable criteria the students’ code (on issues related to the way the data indicates their presence in Scratch) or to develop their personal teaching paths, thus creating mental scaffolds that assist students to master new knowledge.
Choosing Digital Tools in Educational Scenarios: A Case Study with In-Service Teachers
Authors: Sazakli Evaggelia
Published: March 2024

This paper examines the choices of digital tools made over traditional ones by 18 Greek teachers of foreign language, humanities, and arts, in educational scenarios during in-service blended training on script design. Each trainee submitted four scenarios and was free to select his/her own tools. Hierarchical cluster analysis performed on the participants, showed two groups, with the first group ending up with decreasing use of digital tools, whereas the other group exhibited a progressive increase, with constructive and collaborative categories being more popular. All disciplines increased the usage of communicative tools. Teachers of Humanities usually employ projections and Art teachers use more physical objects. Teachers of foreign languages tend to the fewest digital tools in every scenario. All trainees used more multidisciplinary tools than specialized ones; the latter was mostly applied by Art teachers. The research findings shed light on the trends revealed by teachers’ choices and enrich the knowledge base about the planning repertoires and logic of in-service teachers.
Challenges and Opportunities of Emergency Remote Teaching: Linguistic Analysis on School Directors’ Interviews
Authors: Tzimiris Spyridon , Nikiforos Maria Nefeli , Nikiforos Stefanos , Kermanidis Katia Lida
Published: March 2024

This research delves into the experiences of primary school directors during the abrupt transition to Emergency Remote Teaching (ERT) due to the Covid-19 pandemic. Through semi-structured interviews, the organization and implementation of online classes, associated challenges, and potential improvements were scrutinized. Findings underscored a lack  of preparedness, yet acknowledged ERT as a vital tool during the crisis. Recommendations included the improvement of technological support, designing a well-planned strategy, creating appropriate teaching content, comprehensive staff training, and tailoring the educational content to fit students’ learning styles or special needs. A Linguistic Text Analysis approach, employing word clouds, treemaps, and sentiment analysis charts to graphically depict complex patterns in the data, enriched our understanding of the ERT transition, shedding light on subtler nuances and insights. This study contributes valuable knowledge, offering a roadmap for the future development of robust, flexible, and inclusive educational policies and practices, particularly in crisis situations. The dataset is an invaluable asset for policymakers, providing critical insights and highlighting the challenges and opportunities that arise.
The Applied Model Approach in a Skills-Based Education
Authors: Adam Spyridon , Katsiris Ioannis , Michalis Loukas , Panetsos Spiros
Published: March 2024

As science advances at a great pace, transforming businesses and the industry, companies reassess the skills and competencies that are demanded from new candidates, shifting from the old model that valued specialized knowledge to one that prioritizes skills, like critical thinking, creativity, communication, collaboration. Higher Education follows suit, as many Universities across the world redesign their programs towards a skills oriented education. In this paper, we discuss the applied model approach as an effective scheme to achieve a skills based education. We provide an illustrating example of the implementation of this model in the Data Acquisition Lab, in the 8th semester of the Electrical and Electronic Engineering Educators program at the School of Pedagogical and Technological Education (ASPETE).
Unraveling the Complexity of Mobile Application Permissions: Strategies to Enhance Users’ Privacy Education
Authors: Lavranou Rena , Karagiannis Stylianos , Tsohou Aggeliki , Magkos Emmanouil
Published: March 2024

Smartphones and other mobile devices have seamlessly integrated into our daily lives offering a multitude of possibilities through various applications. However, this convenience comes at a cost, due to the excessive usage of device permissions claimed by the applications. The management of information privacy in mobile applications presents a formidable challenge for users. For instance, users are confronted with intricate privacy decisions, including the configuration of application permission settings. Unfortunately, many users lack adequate knowledge about how applications utilize their personal data. This research investigates the permissions of seven most popular mobile applications and provides a program to enable the extraction and categorization of permissions. The extracted information, datasets, and insights enrich the foundation of privacy education. The results can be used by educators who can develop workshops that immerse participants in this challenging topic. Therefore, this research paper contributes to the topics of privacy education and privacy awareness.
Elaborating Advanced Machine Learning Techniques in the Music Class
Authors: Smailis Dimitrios , Heliades Georgios P.
Published: March 2024

In music education, there are several cases where the instructor needs to set preparatory tasks and use verbal communication, both of which, nonetheless, interrupt the music continuity. These “interruptions” are considered as learning barriers. Having researched teaching communication habits on several music instruction cases, we have come up with the idea of designing a set of software blocks that, laid down together as a digital aid to the class, can generously assist music teaching by providing communication facilitators in a wide range of commonly used music teaching exercise tasks. In this direction, a range of algorithms and software blocks have been implemented at the Ionian University using the Max/MSPTM dedicated software platform, comprising the FIG set of tools. A specific subset of these software tools has included Machine Learning (ML) logic in order to promote a wiser instructor-student communication that advances class musicality and potentially facilitates deeper consolidation of musical structures.
Exploring the Mechanisms Behind Well-Being: Social Support and Basic Psychological Needs
Authors: Yuan Yuan , Abu Bakar Azlina , Selamat Taufiqnur , Jingcheng Sun , Hui Rao Ya , Yang Yanfei
Published: March 2024

This study explores how social support and basic psychological needs influence the well-being of college students in Shandong, China. The primary objective of this research is to offer practical recommendations for improving the well-being of college students. The study involved surveys administered to 288 university students from three universities in Shandong, China. Data analysis was conducted using SPSS v22.0 and SmartPLS 4 software. Notably, the results showed that college students scored an average of (22.48 ± 5.40) for well-being. Moreover, the research correlation results indicated a strong positive relationship between social support and well-being (r = 0.732, p < 0.01), as well as between basic psychological needs and well-being (r = 0.748, p < 0.01). Furthermore, the path coefficients for social support and basic psychological needs concerning well-being were statistically significant (p < 0.05), with values of β = 0.413 and β = 0.444. In conclusion, this study has identified significant well-being predictors among Shandong University students in China.
Using Learning Analytics to Understand K–12 Learner Behavior in Online Video-Based Learning
Authors: Vale Eamon , Falloon Garry
Published: March 2024

This research investigated the potential of learning analytics (LA) as a tool for identifying and evaluating student behaviours associated with active learning within an online learning environment. The study focused on the application of LA for evaluating student engagement in video-based learning – an area of inquiry highlighted in literature as needing further investigation. Results determined that the LA method could identify active learning behaviours, and that LA can play a valuable role in providing information on learner activity in autonomous learning environments. However, LA did not provide a complete picture of learner behaviour and viewing strategies, highlighting the importance of a multi-method approach to research on online learner behaviours. It is anticipated the accessible approach outlined in this study will provide educators with a viable means of using LA techniques to better understand how learners interact with course content and learning objects, greatly assisting the design of online learning programmes.
Comparison of on-campus and virtual self-assessment outcomes for incoming Appalachian STEM undergraduates’ first research experience
Authors: Stover Kristin , Cowley Kimberly , Gaunt Gillian , George Olivia , Henson Kristy , Liu Tuoen , Pankey Christopher L
Published: March 2024

The First2 Network is an alliance of higher education institutions across the State of West Virginia striving to improve science, technology, engineering or math (STEM) education by supporting rural, first-generation, and underrepresented college students pursuing STEM majors.  Over the summers of 2019 and 2020, the First2 Network delivered two-week summer research immersion experiences at various institutions throughout West Virginia. The 2019 program was delivered on-campus at four universities while the 2020 program was delivered virtually, due to the COVID-19 pandemic, across nine sites. Before and after the immersion experience, students who participated in the program completed a variety of survey questionnaires for the assessment of their interests, expectations, identity and belonging in STEM. We found that the in-person experience in 2019 had better outcomes compared to the virtual experience, suggesting students conducting research directly under their faculty supervisors in-person and on-site will have a more positive impact on their STEM education and career. However, participation in the virtual format still resulted in an improvement in belonging and STEM identity, indicating that connecting with students remotely is still worthwhile when it is the most viable option. The student population in Appalachia faces a number of academic barriers, so there is much to gain by finding new ways to reach as many students as possible with early career development programs.
The role of self-regulation in the relationship between adaptability and engagement: A case of online mathematics learning for elementary school students
Authors: Purnomo Yoppy Wahyu , Prananto Irfan Wahyu , Fitriya Yeni , Kaur Amrita
Published: March 2024

The dynamics of students' engagement in online mathematics learning during the pandemic have been completely distinctive from face-to-face learning. To further the investigation, the current study aims to examine the relationship between student adaptability and engagement and the mediating role of self-regulation and grade level, parental education level, student age, and student gender. A total of 339 students, with an average age of 11.16 years, from three public elementary schools in Yogyakarta, Indonesia, participated in this study. The findings demonstrated that: 1) adaptability has a positive and significant effect on student self-regulation, 2) self-regulation has a positive and significant effect on student engagement in online mathematics learning, and 3) adaptability has a significant positive influence on student engagement in both directly and through the mediation of student self-regulation. The study has a significant implication for the student learning environment, especially parental involvement. Recommendations to encourage parental involvement for online learning engagement are made.
Parent’s Perceptions of Online Learning during Covid-19 Pandemic: The Road Ahead
Authors: Shal Tarek
Published: March 2024

This study explored parents’ perceptions pertaining online learning in the state of Qatar during Covid-19 pandemic.  688 parents were surveyed and data was analyzed statistically using SPSS 28.0.  Findings suggest that parents perceived online learning positively only when a set of conditions coexisted, including parental readiness, school support, and abundance of online resources. Moreover, parents viewed in-person learning to be of higher quality than remote learning, believing that academic progress and wellbeing were stymied through online learning. Moreover, parents suggested a road map for leveraging the quality of online learning, which sheds light on the importance of a solution that is family-centered, accounting for parental multi-tasking; apprehending economic and social pressures; responding to the cultural context; and securing student wellbeing.
Students’ perceived social presence and media richness of a synchronous videoconferencing learning environment
Authors: Wempe Brandie , Collins Royce Ann
Published: March 2024

This correlational cross-sectional study was conducted with sixty graduate students to explore their perceived social experiences with the use of synchronous videoconferencing in the online learning environment. By applying the theories of social presence and media richness, this study investigated the perceived relationship between social presence, social space, sociability, and media richness. The communication theories of social presence and media richness were applied to better understand the relationship between the communication medium (videoconferencing) and the interactions within the mediated environments (e.g., Zoom). Looking through the lens of social constructivism, this correlational cross-sectional study explored graduate students perceived social presence and media richness of a synchronous videoconferencing learning environment by investigating how strongly and in what direction social presence, social space, sociability, and media richness were related. To answer the research question, a Pearson correlation analysis was conducted to investigate how strongly and in what direction social presence, social space, sociability, and media richness were related in a synchronous videoconferencing learning environment. The results indicated a strong, positive correlation between Social Presence and Social Space (Positive Group Behavior); Social Presence and Sociability; Social Presence and Media Richness; Social Space (Positive Group Behavior) and Sociability; Social Space (Positive Group Behavior) and Media Richness; and Sociability and Media Richness. A moderate, negative correlation was indicated between Social Space (Negative Group Behavior) and Social Presence; Social Space (Negative Group Behavior) and Sociability; and Social Space (Negative Group Behavior) and Media Richness.
What It Takes to Teach in a Fully Online Learning Environment: Provisional Views from a Developing Country
Authors: Barrot Jessie , Agdeppa Joan , Manzano Brendalyn
Published: March 2024

Teachers and teaching play a critical role in the success of the online learning space. However, information about the specific strategies they employ in navigating this alternative learning space and the challenges they face remains limited. Thus, the present study was undertaken to obtain a clearer picture of teachers’ online instructional delivery and dig deeper into their difficulties for possible intervention. This study involved 17 teachers from nine higher education institutions in the Philippines. Using a descriptive case approach, overall data indicated that they promoted flexibility and interaction, facilitated learning processes, and fostered an affective learning climate as much as they could. However, these teachers faced several challenges related to technological sufficiency, learner-related factors, teaching delivery and assessment, technological complexity, and self-regulation, among others. Their varying experience was linked to their unique context brought about by several factors, namely available tools, institutional policies, pedagogical goals, and learner-related factors. Implications for classroom practices, policy-making, teacher training, and future research are discussed.
Adsorption Properties of Beta Carotene from Activated Carbon Derivatives of Oil Palm Empty Bunches
Authors: Jasmidi Jasmidi , Zubir Moondra , Selly Rini , Faradilla Putri , Rahmah Siti
Published: March 2024

This research aims to determine the adsorption ability of activated carbon and Fe-Cu modified activated carbon in the β-carotene adsorption process on Crude Palm Oil (CPO). Empty Palm Oil Bunches (TKKS) are used as a bio-sorbent for carbon production at a temperature of 500 ºC. The synthesized carbon was activated using H3PO4 and modified with Fe-Cu metal. CPO quality parameters such as Free Fatty Acids and Peroxide Number were analyzed to see the effect of adsorption on CPO quality. The β-carotene level in the CPO sample used is 472.1 ppm. The optimum conditions for using activated carbon in the β-carotene adsorption process are a mass variation of 8 grams with the β-carotene remaining after adsorption being 432.4 ppm, whereas by using Magnetic Activated Carbon, CPO β-carotene after adsorption remains at 426.1 ppm. Meanwhile, increasing the adsorption time causes the absorption of β-carotene to become greater. By using Activated Carbon the remaining β-carotene is 300.1 ppm after 120 minutes, whereas by using Magnetic Activated Carbon the optimum absorption time is faster and the amount of β-carotene absorbed is greater. The remaining βcarotene after absorption with Magnetic Activated Carbon was 288.7 after 90 minutes of adsorption. Apart from being able to absorb β-carotene, magnetic activated carbon is also better at reducing FFA and PV levels from CPO.
Synthesis and Characterization of Hexathiosianatoiron(II) [Fe(NCS)6] 4- Complex Compound and Tetrapyridindithiosianatoiron(II) [Fe(NCS)2(Py)4] Complex Compound
Authors: Febrianti Fitria , Sutiani Ani , Jahro Iis Siti , Nugraha Asep Wahyu , Fadhila Nabila Nur
Published: March 2024

This research aims to synthesize and characterize the complex compounds Hexathiocyanatoiron(II) [Fe(NCS)6] 4- and Tetrapyridinedithiocyanatoiron(II) [Fe(NCS)2(Py)4]. The synthesis of these complex compounds was conducted in the Chemistry Laboratory, Faculty of Mathematics and Natural Sciences, Medan State University, while magnetic susceptibility measurements were carried out using the Magnetic Susceptibility Balance (MSB) instrument in the Inorganic Chemistry Laboratory, Bandung Institute of Technology. The complex compound synthesis involved the reaction of Iron(II) sulfate heptahydrate with Potassium thiocyanate and Pyridine compound in a 1:2 and 1:2:4 molar ratio. The synthesis process was conducted through a direct reaction method in a polar solvent. The obtained results include Hexathiocyanatoiron(II) complex compound, [Fe(NCS)6] 4-, which is pale yellow crystalline with a yield of 32.76%, and Tetrapyridinedithiocyanatoiron(II) complex compound, [Fe(NCS)2(Py)4] which is dark purple crystalline with a yield of 52.62%. These compounds exhibit a melting point of 219℃. Magnetic susceptibility measurements using the MSB instrument revealed a magnetic susceptibility of 6.69 BM (paramagnetic) for the Hexathiocyanatoiron(II) complex[Fe(NCS)6] 4-, and a magnetic moment of 5.61 BM (diamagnetic) for the Tetrapyridinedithiocyanatoiron(II ) complex [Fe(NCS)2(Py)4].
Exploration of Lipid Content in Sargassum binderi Algae from the North Coast of Manokwari West Papua
Authors: Stepanus Jamius Bin , Kolibongso Duaitd
Published: March 2024

The aim of this research is to determine the potential of biodiesel from the algae Sargassum binderi from the North Coast of Manokwari by determining the lipid components contained in the algae. Lipid extraction was carried out using the soxhletation method with n-hexane solvent. Lipid percentage was determined via GCMS analysis. The research results obtained 4 lipid components consisting of hexadecanoic acid (palmitic acid), 9,12-hexadecadienoic acid, 9-octadecenoic acid (Z) (oleic acid) and octadecanoic acid (stearic acid) with a percentage of 18.12%, 4.75%, 19.4% and 4.29% respectively. The total percentage of lipid components extracted was 46.56%, almost half of the total extract.
Effect of Contact Time and Stirring Speed on Biosorption of Lead (II) Using Sugarcane Bagasse
Authors: Pasaribu Nur Rizky , Kurniawati Desy
Published: March 2024

Lead is a hazardous and toxic metal if it reaches human organs in sufficient doses or if it is present in water. Pb2+ can build up in the brain, causing cancer, disorders of nerve cells, kidneys and mental health as well as problems with male reproduction and resulting in bone irregularities in children. As a result, it is vital to regulate the presence of this metal in water. Biosorption is a heavy metal removal technique that use biomass as an adsorbent. The biosorption method was conducted in this study employing sugarcane bagasse as an adsorbent and batch contacting. Variations in contact duration and stirring speed were tested in this study to determine the influence of contact time and stirring speed on the biosorption process. The study's findings revealed that a contact duration of 60 minutes and a stirring speed of 100 rpm were the best conditions in this research.
Continuous Running vs. Interval Training on VO2Max Increase in 16-17-Year-Old Football Athletes at Bintang Kejora Football School Deli Serdang Regency
Authors: Savero Reyhan Varian , Akhmad Imran
Published: March 2024

This study compares the Vo2Max effects of continuous running and interval training on 16-17-year-old football participants at Bintang Kejora football school in Deli Serdang Regency in 2022. The research method is experimental quantitative research. This study used purposive sampling to pick Bintang Kejora football school athletes under certain conditions. The study lasted six weeks with three training sessions per week. The statistical analysis of Vo2Max increase in the continuous running group showed a tcount of 6.56 and a ttable of 2.75, with Î± = 0.05. We reject H0 and accept Ha since the tcount is bigger than the ttable (6.56 > 2.75). In 2022, the continuous running exercise group improved the Vo2Max results of 16-17-year-old football participants at Bintang Kejora football school (SSB), Deli Serdang Regency. Hypothesis II on interval training's Vo2Max rise had a tcount value of 6.11, higher than the crucial ttable value of 2.75. This means H0 is rejected and Ha is accepted. Thus, the interval training group affects the Vo2Max results of 16“17-year-old football participants at Bintang Kejora in Deli Serdang Regency. Upon assessing hypothesis III, the average standard deviation tcount value was 1.32, while the ttable value was 2.23, with Î± = 0.05. Low tcount values (tcount < ttable) support the null hypothesis (H0) and reject the alternative hypothesis (Ha). This analysis suggests that continuous running or interval training have similar effects on Vo2Max outcomes for 16-17-year-old football players at the Bintang Kejora football school in Deli Serdang Regency.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS ANDROID MATERI SEJARAH PERGERAKAN SMA DI LAMPUNG
Authors: Gumelar Heru Puspo Aji , Hidayat Bobi , Kuswono Kuswono
Published: March 2024

The purpose of this development is to develop an Android-based intractive learning media using iSpring Suite 8 which is feasible and practical when used. The method used in this research is 4-D which consists of the define stage, the design stage, the development stage and the dissemination stage. The datacollection instrument was in the form of a questionnaire, consisting of an expert validation questionnaire and a student response questionnaire. Data analysis techniques used in this study included several steps, namely data analysis, data tabulation, and interpreting the percentage of the questionnaire. The validationresults obtained from the development of the developed learning media are stated to be very feasible with a percentage. The validation of media experts got 86% results and material expert validations got 84% results, and the average was 85%. The results of the small group trial were stated to be practical with a result of 80%. Based on the predetermined criteria, the development of androd-based intractive learning media is declared feasible and practical.Keywords: instructional media, interactive media, history of movement in Lampung.
4P Relationship (Product, Price, Place, Promotion) in Purchasing Decisions for Virtual Reality (VR) as a Learning Medium for Nursing Students
Authors: Audly Tazkia Badliana , Susanti Raini Diah , Hermayanti Yanti
Published: March 2024

IIntroduction: VNursLab Plus Universitas Padjadjaran offers technology-based learning media, namely virtual reality (VR) to support the clinical skills of nursing students. Before mass marketing, VNursLab Plus products need to be researched in several segmentations. Marketing mix 4P (Product, Price, Place, and Promotion) is one of the marketing strategies carried out to influence the purchasing decision of a product. The purpose of this study was to analyze the relationship between 4P (Product, Price, Place, and Promotion) on VR purchasing decisions in college students. Research methodology: correlational research with a cross sectional approach and the respondents of this study were 89 Universitas Padjadjaran Nursing students who had tried using VR. The instrument used is an adaptation of previous research instruments that the researcher modified. Result: The Chi-Square test obtained a p value <0.01 in each variable product, price, and place on purchasing decision decisions, while the promotion variable on purchasing decisions produced a p value = 0.29. Discussion: The test results state that there is a relationship that makes the 4P marketing mix strategy (Product, Price, Place, Promotion) on VR purchase decisions, so that it can be adapted by VNursLab Plus by considering products, prices, places, promotions as marketing strategies before being marketed to broad segments. Conclusion: There is a relationship between the 4Ps (Product, Price, Place, Promotion) on VR purchase decisions in students as an additional learning method. So that VR can also be applied to streamline student learning.
KONSEP PENDIDIKAN HUMANISTIK DALAM KONTEKS PEMIKIRAN PAULO FREIRE DAN K.H AHMAD DAHLAN
Authors: Latifah Pinna Nur , Habibi Muhammad Devy , Susandi Ari
Published: March 2024

This research aims to know the concepts, comparisons with similarities and differences about the concept of humanistic education in the context of the thoughts of Paulo Freire and K.H. Ahmad Dahlan. This type of research uses literature or library research with information collection methods using the form of articles / written data. Qualitative descriptive becomes the approach used by researchers in this research. On the other hand, content analysis is used as a form of data analysis. As for the formulation of the problems listed as follows: How is the concept of humanistic education according to Paulo Freire and K.H. Ahmad Dahlan?, How is the form of humanistic education concept comparison between Paulo Freire and K.H Ahmad Dahlan? The results of this study describe the educational concepts of the two figures by producing similarities and differences in the concept of humanistic education in the context of Paulo Freire and K.H. Ahmad Dahlan.
Almost-reductive and almost-algebraic Leibniz algebra
Authors: Towers David A.
Published: March 2024

This paper examines whether the concept of an almost-algebraic Lie algebra developed by Auslander and Brezin in
[J. Algebra, 8(1968), 295-313] can be introduced for Leibniz
algebras. Two possible analogues are considered: almost-reductive
and almost-algebraic Leibniz algebras. For Lie algebras these two
concepts are the same, but that is not the case for Leibniz
algebras, the class of almost-algebraic Leibniz algebras strictly
containing that of the almost-reductive ones. Various properties
of these two classes of algebras are obtained, together with some
relationships between $\phi$-free, elementary, $E$-algebras and
$A$-algebras.
The use of computed tomography and scanning microscopy methods for assessing the alkaline reactivity of aggregate
Authors: Zapała-Sławeta Justyna
Published: March 2024

The reaction of alkalis with aggregate containing reactive forms of silica (ASR) plays a significant role in shaping the durability of concrete, as the strongly hygroscopic reaction products generated lead to internal stress, causing its expansion and cracking. This study presents an extended analysis of corrosive processes occurring in mortars with reactive natural aggregate from Poland, using computed tomography and scanning microscopy methods. Numerous cracks in the grains and the surrounding cementitious matrix were observed, indicating a high degree of advancement of corrosive processes. Over time, the proportion of pores with reduced sphericity increased, indicating ongoing degradation of the mortars. The usefulness of computed tomography in studying the progress of ASR was demonstrated. Scanning microscopy confirmed that the cause of mortar degradation is the formed ASR gel with a typical composition, located within the volume of reactive grains, cracks propagating into the cementitious matrix, and accumulated in air voids.
Time parameters verification of a numerical simulator of an automated store warehouse
Authors: Rzydzik Sebastian , Kroczek Piotr
Published: March 2024

The intelligent automated store warehouse (iZMS) research and development project was created to meet the expectations of a modern automatic store. The project concerns the development of the concept and pilot implementation of an automated store warehouse adapted to the autonomous and automatic sales of goods selected by retail chains. One of the aims of the iZMS project is to develop a scalable solution that allows for the simple adaptation of the iZMS to the needs of a potential customer, taking into account their requirements in terms of the quantity and variety of assortment offered within the iZMS. An important requirement in the use of the iZMS system is minimizing the customer waiting time for purchased products. This problem is related, among others, to the placement of products on the shelves of racks and will be solved in the optimizing process. Running optimization tasks requires a simulator that will mimic the features of a physical device faster than in real time in order to generate many proposals of the allocation of goods on storage racks in the shortest possible time and choose the best one, guaranteeing the shortest picking time of a representative basket of goods. A numerical simulator was developed to model the physical structures of food storage equipment and then simulate the sales process. Among the results obtained, the most important are the time parameters of individual operations, which will ultimately be used to optimize the placement of goods on storage racks. After analyzing the needs resulting from the usage of the iZMS system, we decided to develop a dynamic, deterministic simulator with discrete objects and perform the simulation with a controlled time increment and, in some cases, to utilize elements of event-driven simulation, in which the flow of goods is simulated with first-in, first-out (FIFO) queues. Finally,verification of the numerical simulator with a physical model confirmed that it can be employed in optimization processes.
GNSS multipath error in the context of companion robots’ reliability
Authors: Krzykowska-Piotrowska Karolina , Grabka Emilia , Dudek Ewa , Rosiński Adam , Maciuk Kamil
Published: March 2024

A companion robot is capable of performing a variety of activities and thus supporting the elderly and people withdisabilities. It should be able to overcome obstacles on its own, respond to what is happening around it in real-time, andcommunicate with its surroundings. It is particularly important to pay attention to these issues, as a companion robot is likely tobecome a participant in traffic. The aim of the research is to develop a mathematical model that takes into account the use of twonavigation solutions in the companion robot. Thanks to this, it will be possible to use the obtained mathematical relationships tocompare various types of navigation and make a rational choice, enabling the implementation of the assumed activities in aspecific external environment. What is new in this article is the analysis of several navigation methods and the presentation ofresearch carried out in real time using an actual robot.
Analysis of Energy Indicators of Dry Farming Wheat Production in Northwest of Iran
Authors: Mohammadzadeh Peyman , Shahgholi Gholamhosein , Szymanek Mariusz , Tanaś Wojciech
Published: March 2024

Majority of past research on agricultural product production is related with irrigated areas. Thus, the purpose of this study was to evaluate the energy use pattern in wheat production planted as dry farming in Northwest of Iran. Initial data were collected by means of questionnaires from farmers and agricultural experts in the area. Energy use efficiency indices, net energy, specific energy, energy productivity, energy intensiveness and the total input of energy and total output were computed. Analysis of the total input energy showed that fuel and chemical fertilizer had the highest energy consumption, and the seeds, labor work and chemical pesticides had the lowest energy consumption in wheat production. Energy use efficiency and energy productivity of 1.79 and 0.748 kg·mJ−1 were obtained, respectively. The total input and output energy were 33927.61 and 60803.81 MJ·ha−1, respectively.
Existence and Successive Approximations of Mild Solution for Integro-differential Equations in Banach Spaces
Authors: Bensatal Kattar Enada , Salim Abdelkrim , Benchohra Mouffak
Published: March 2024

This paper discusses the global convergence of successive approximations methods for solving integro-differential equation via resolvent operators in Banach spaces. We prove a theorem on the global convergence of successive approximations to the unique solution of the problems. An example is given to show the application of our result.
Development and Research on Incontinence Underwear for the Elderly
Authors: Zhu Chunyan , Zhou Baixue , Bi Yanwei , Pan Li , Yang Chen
Published: March 2024

This study investigates the living conditions of elderly individuals with urinary incontinence and their usage of related products to assess their actual needs, including comfort, convenience, and affordability. Based on these findings, innovative design work was conducted, involving structural design, fabric preparation, and process selection. Ultimately, through product performance evaluation and refinement, the design requirements for comfort, convenience, and affordability were achieved. This research holds significant importance in addressing urinary incontinence issues among the elderly and can be applicable to individuals with restricted access to toilets or those engaged in prolonged activities. Furthermore, the study provides a valuable reference for designing and developing functional garments that cater to practical needs. With further production and market promotion, this research outcome is expected to yield greater value and impact on a larger scale.