bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary design water ambulance untuk pemindahan pasien covid 19 di wilayah kepulauan Indonesia (studi kasus di kepulauan Madura)
Authors: Irmiyana Triyanti , Siswanti Heni , Musta'in Muhammad 
Published: April 2024

Berdasarkan data dari dinkes-Sumenep, jumlah kasus konfirmasi positif covid di Pulau Talango yang terbanyak memiliki kasus konfirmasi positif corona sejumlah 9 jiwa dan 1 jiwa meninggal. Salah satu penyebabnya adalah tidak ada fasilitas penanganan corona di pulau tersebut, hingga harus dirujuk ke RSUD. Kabupaten Sumenep melalui kapal.
Dalam penelitian ini, perancangan speed boat ambulance khusus pasien covid-19 dengan tipe lambung katamaran. Tujuan desain speed boat ambulance untuk menangani pasien kepualaun khususnya kasus covid-19 selama perjalanan laut menuju RSUD. Sumenep dengan fasilitas yang memadai.
Metode penelitian dilakukan dengan penentuan ukuran utama kapal menggunakan metode sister ships, kemudian dilanjutkan dengan menggambar lines plan, perhitungan tahanan kapal beserta penentuan daya mesin, dan general arrangement. Pembahasan dan hasil yang diperoleh berupa ukuran utama kapal berupa Tipe kapal Catamaran; LOA : 13.0 m; B : 7.0 m; H : 2.0 m; T : 1.2 m; Vs : 16 knot. Memiliki 3 ruang akomodasi, antara lain ruang pasien untuk 2 orang; Ruang tenaga medis dan pengantar dengan 1 dokter, 2 tenaga medis dan 2 orang keluarga pasien; Ruang kemudi dengan 2 orang ABK. Zonasi ruang dibagi menjadi 2 zona, yaitu zona covid-19 untuk pasien COVID-19; serta zona non covid-19 meliputi ruang tenaga medis dan ruang kemudi.
Analisa Teknis Pengaruh Pemindahan Ruang Penumpang Dari Depan ke Bagian Belakang Terhadap Stabilitas Kapal Crew Boat Aluminium
Authors: JAILANI ABDUL KADIR JAILANI 
Published: April 2024

Pengoperasian kapal crewboat yang berada pada daerah pengeboran minyak dituntut untuk bebas dari kecelakaan. Oleh sebab itu maka kemudahan pengoperasian kapal adalah hal yang utama. Posisi ruang penumpang dan ruang kontrol dibelakang pada kapal PSV dengan seri VS 493 dan crewboat produksi Chantiers Allais dinilai dapat menambah kenyamanan ruang penumpang serta dengan ruang kontrol yang hanya satu posisi manuver dapat memudahkan pengoperasian kapal. Kapal crewboat KCT 1902 adalah kapal sudah beroperasi pada area pengeboran minyak dengan ruang penumpang didepan dan dek kargo dibelakang. Untuk bisa mengikuti tender lagi, kapal ini harus mempunyai ruang penumpang dibelakang dan dek kargo didepan. Tujuan skripsi ini adalah menganalisa pemindahan ruang penumpang dari sisi teknis dan dari sisi ekonomis. Dari hasil analisa secara teknis terjadi penambahan berat sebesar 0.56 Ton dan pergeseran titik berat yang cukup signifikan. Hasil ini menyebabkan perubahan stabilitas kapal, namun perubahan stabilitas masih memenuhi kriteria stabilitas menurut peraturan. Dari hasil analisa ekonomis ditemukan bahwa modal yang dibutuhkan Rp 26,669,803,218.01, biaya operasional per tahun Rp 3,624,750,000.00 dan pendapatan per tahun Rp 11,343,105,000.00 diperoleh Break Event Point pada tahun ke-7.
ANALISIS POTENSI DAN PANGSA PASAR GALANGAN- GALANGAN KAPAL DI KABUPATEN GRESIK
Authors: Setiawan Budi 
Published: April 2024

Peran galangan kapal Sebelum Pandemi sangat penting di dalam menunjang perekonomian khususnya di sektor transportasi laut, baik untuk pengadaan armada kapal Sebelum Pandemi maupun sebagai sarana perawatan. Kemampuan galangan Sebelum Pandemi baru mampu melayani 50% pekerjaan reparasi dan 30% pekerjaan pembuatan kapal baru dari potensi pekerjaan yang ada. penelitian ini menggambarkan pangsa pasar (market share) dari 5 galangan kapal di Kabupaten Gresik dengan cara membandingkan jumlah potensi pasar galangan Pada Masa Pandemi dan Sebelum Pandemi dengan hasil pekerjaan permintaan reparasi dan bangunan baru galangan-galangan kapal di Kabupaten Gresik. Metode yang kami gunakan dalam penelitian ini adalah metode forecasting terhadap pangsa pasar galangan kapal di Kab. Gresik. Hasil penelitian menunjukkan, pangsa pasar galangan-galangan kapal di Kabupaten Gresik untuk Sebelum Pandemi untuk reparasi galangan kapal a. Pangsa pasar galangan-galangan di Kabupaten Gresik untuk Sebelum Pandemi adalah sebesar 0.31% dari potensi pasar galangan nasional b.Pangsa pasar galangan-galangan di Kabupaten Gresik untuk Pada Masa Pandemi adalah sebesar 0.0071% dari potensi pasar galangan nasional. Dan untuk bangunan baru galangan kapal sebagai berikut a.Pangsa pasar galangan-galangan di Kabupaten Gresik untuk Sebelum Pandemi adalah sebesar 6.92% dari potensi pasar galangan nasional. b.Pangsa pasar galangan-galangan di Kabupaten Gresik untuk Pada Masa Pandemi adalah sebesar 0.0527% dari potensi pasar galangan nasional.
Kata Kunci
Galangan, Kabupaten Gresik, potensi pasar, pangsa pasar
RANCANG BANGUN MESIN CNC UKIR KAYU DENGAN 3 SUMBU MENGGUNAKAN MIKROKONTROLLER
Authors: Fashiha Ilman Abdillah 
Published: April 2024

Abstrak — Perkembangan teknologi pada era saat ini sangatlah berkembang pesat, salah satu kegunaannya ialah dapat membantu proses industri dalam skala kecil maupun besar. Salah satu teknologi yang berkembang pesat adalah mesin CNC ukir Kayu. Adapun permasalahan yang sering timbul dalam proses industri mebel yaitu keterbatasan jumlah pekerja dengan pemesanan yang banyak. Oleh sebab itu pada penelitian ini merancang suatu mesin CNC ukir Kayu dengan 3 sumbu menggunakan mikrokontroller sebagai salah satu jalan keluar untuk mengatasi permasalahan yang terjadi tersebut. Ketiga sumbu x,y, z pada peralatan tersebut akan bergerak secara beraturan sesuai code yang telah dibuat sebelumnya, dengan menggunakan motor stepper yang terkontrol oleh mikrokontroller. sedangkan untuk proses pengukiran menggunakan motor Wood Trimmer M-2700. Peralatan ini masih dalam bentuk prototype yang memiliki dimensi 80 cm x 60 cm dan bidang kerja maksimal 30 cm x 30 cm. Peralatan ini memanfaatkan code untuk memrintah mesin untuk melakukan pengukiran secara otomatis. Code tersebut diperoleh dari gambar yang telah di desain kemudian dikonversikan ke G-code melalui software Aspire 9.0. Pada mesin ini mampu melakukan pengukiran dengan ukuran terkecil yaitu 2 mm. Proses pengukiran dapat dilakukan dengan kecepatan 0.62 cm/s dan pengukuran memiliki tingkat error dibawah 5%. Penelitian ini dapat dikembangkan agar bisa membantu serta mendorong proses industri mebel masyarakat luas.
Kata Kunci: CNC, G-Code, Mikrokontroller, Motor Stepper, Wood Trimmer M-2700
Implementation of the Components of Synchronous and Asynchronous Learning as A Predictor to Students’ English Achievement
Authors: Visitacion T. Datul  
Published: April 2024

The purpose of this study, was to find out the extent of implementing the components of synchronous and asynchronous learning in English. It was specifically designed to ascertain the profile of the respondents in terms of their gender and age, to determine the extent of implementing the components of synchronous and asynchronous learning in English subject particularly in terms of dialogue, structure, autonomy, and transactional distance, to determine the students’ level of achievement in their English subject, and to find out if the implementation of the components of synchronous and asynchronous learning significantly predict the students’ achievement in English.
The study surveyed ninety-five (95) students from the College of Education. The results were analyzed using Statistical Packages for Social Sciences version 20, frequency and percentage, and mean standard deviation.
The findings indicated that majority of the respondents were female and majority of them were 20 years old. Results of the study showed that all the components of synchronous and asynchronous learning were both implemented to at least a large extent. Other findings of the study revealed that with a percentage of 47.4, most of the respondents performed satisfactory in English. Additionally, the study’s findings indicated that among the components of synchronous and asynchronous learning, only “Learner-Content: Flexibility” and “Learner-Content: Formality”, “Learner-Interface: Visualization”, and “Autonomy: Study Habits” had significantly predicted the achievement of the students in their English subject.
Information and Communications Technology Resources and Mobile Learning in times of COVID-19.
Authors: Hugo Vega-Huerta  
Published: April 2024

The increase in the Use of Mobile Learning due to the technological trend and even more triggered by the COVID-19 pandemic have called into question the capabilities of the Information and Communication Technology (ICT) Resources that students have. The objective is to know the status (photograph) of the capabilities of these ICT Resources and validate if they are indeed related to the Use of Mobile Learning. Descriptive statistics were used for the analysis of satisfaction levels and inferential statistics for the corroboration of correlational hypotheses and levels of association between variables. We worked with data from 70 graduate students obtained through a survey consisting of a questionnaire of 40 Likert questions with values from 1 to 5. Satisfaction levels were high for ICT Resources (44.29% Satisfied and 32.86% Totally Satisfied) and the Use of Mobile Learning (42.86% Satisfied and 30.00% Totally Satisfied) demonstrating that many students had the ideal capabilities of ICT Resources that allowed them to use Mobile Learning. In turn, the results obtained were for Spearman's Rho (0.837 and p < 0.05), Chi-Square (171.287 and p < 0.05), Phi Coefficient (1.564 and p < 0.05), Cramer's V (0.782) and Contingency Coefficient (0.843), demonstrating that between ICT Resources and the Use of Mobile Learning there was a statistically significant, strong relationship, positive and with a high degree of dependence, where the Use of Mobile Learning depended on ICT Resources.
Innovations in Sustainabilty Business Models – Toward Development for Peace in Conflict-affected Zones in the Philippines
Authors: Urooj Malik  
Published: April 2024

The proposed business model (also termed herein as the Business Sustainability Framework) presents strategies for agribusiness and approaches to restoring the forests and watersheds that were initiated in the Province of Bukidnon in Northern Mindanao, Philippines. It is believed that the framework deserves merit for replication in other conflict-affected zones. This study aimed to conceptualize and document a holistic and collaborative approach taken to develop a model for an inclusive and sustainable business practice that can ensure food security and support livelihoods of the Indigenous People (First Nations) of Bukidnon, many of whom are smallholder farmers, while augmenting environmental resilience. The methodology applied for developing the model in Bukidnon utilized various strategies namely, social preparation, community organizing, participatory community development planning, as well as study tours and cross learning programs for farmers from the Bangsamoro to model sites in Bukidnon. The results of these strategies demonstrated that the key components of the framework, namely securing availability of food (i.e., adequate and nutritious food on the table), livelihood opportunities (i.e., through the production of cash crops for sale to generate sustainable disposable income), and reforestation of degraded forests and watersheds (i.e., maintaining the integrity of the ecosystem and adequacy of water supply) can be pursued effectively through a more participatory collaboration between corporations and communities. This paper emphasizes that the creation of food security and livelihood opportunities, alongside inclusive community development and the promotion of ethics and values formation, is urgent given the pressing need for the newly-established government in the Bangsamoro Autonomous Region in Muslim Mindanao (or BARMM) to deliver the much needed dividends of peace through inclusive and equitable partnerships between companies and communities. Based on the promising outcomes and results in Bukidnon, it is believed that the replication of the framework in the conflict-affected Bangsamoro region can lead to sustainable agribusiness economic models and help bring equity and social justice, and enhance environmental sustainability. The study recommends that the authorities give special consideration to the promotion of the proposed model in the Bangsamoro.
Ethno-Pedagogy Study: Exploration of Character Values and Mathematical Concepts in Badeng Art at Elementary Level
Authors: Tatang Herman, Rahman Ejen Jenal Mutaqin, Wahyudin, 
Published: April 2024

Culture is a habit that contains of important elements and fundamental values and is close to human life which is passed down from generation to generation. Culture can be used as a medium of learning for students in schools as well as the learning culture itself. Badeng is a traditional musical art culture from Sanding Village, Malangbong District, Garut Regency, West Java which is must be preserved. The aims of study are to explore the mathematical concepts and character value in Badeng music so that they can be implemented and integrated in teaching mathematics in elementary schools.
Developing Building Information Modeling(BIM) integrated in Construction Waste Management Strategies
Authors: Carmela C. Quizana  
Published: April 2024

The boost in building projects in the Philippines has transformed attitudes in the construction sector toward construction waste management and environmental conservation. This paper includes a discussion of the emerging technology of BIM or Building Information Modelling at the threshold of its development and integration as strategies in Construction Waste Management. It is proposed to build a specific center that can achieve accurate material coordination and information data using BIM to track and coordinate the whole construction waste series from the points of origin to the disposal and materials points that can be recycled.
This study will look into the growth of construction waste management among Philippine construction industry, with the goal of determining their views on the benefits of waste management, stakeholders' ability to reduce waste, and the value of waste disposal strategy.
Communication Barriers in Instructional Delivery as Experienced by AIMS Students in an Online Pedagogical Environment: An Exploratory Sequential Approach
Authors: Victor M. Cajala  
Published: April 2024

With the continuous evolution of the computer and internet in the late 20th century , eLearning tools and delivery methods have expanded making it easier for people to learn at home. Seeing its potential as an alternative learning modality, universities and colleges all over the world have taken opportunity of online learning as another mode of instruction. However, this did not come handy to its stakeholders as online learning is also replete with problems. Much to its inherent perplexities, the communication barrier between a teacher and its respective students is one of the prevailing gaps that seem to mostly affect the efficient learning of students. This directed the proponent to explore and focus on the aspects that hinder the effective communication of both the teacher and students in a virtual classroom.
Contextualized under the instructional delivery continuum, the researcher analyzed the communication barriers inherent in a virtual classroom utilizing the exploratory sequential mixed-method (ESMM) approach. Underscoring experiences of learners from Asian Institute of Maritime Studies (AIMS), qualitative data was initially gathered from 6 conveniently sampled students through a focus group discussion (FGD). Constant comparative method (CCM) was used in analyzing the data. Four themes emerged on this phase: 1) Lecture/Lesson Proper Problems (LLPP); 2) Assessment Instructional/Material Problems (AIMP); 3) Technology/Software-Related Problems (TSRP); and, 4) Technology Incapacity Problems (TIP). Using the qualitative results as theme constructs in developing the 37-item survey questionnaire, the quantitative phase explored further the communication barriers experienced by a cross-sectional sample of 318 AIMS students. Employing a 4-point Likert scale (1=Strongly Disagree; and, 4=Strongly Agree), mean data revealed the following results: TSRP earned the highest communication barrier problem (M=2.93); followed by LLPP (M=2.89); then AIMP (M=2.73); and, TIP (M=2.41). Based on the results, the respondents expressed two major communication barriers in the instructional delivery of lessons and materials in an online modality. These are online teaching management and technological efficiency. A virtual classroom communication management plan especially anchoring on the two major communication barriers was proposed to be developed.
Cox Regressive Outlier Robust Incremental Extreme Learning Machine based IoT aware Smart Car Parking and Route Optimization for Intelligent Transportation
Authors: V. Subapriya  
Published: April 2024

An Intelligent Transport System (ITS) is a wide-ranging framework that influences advanced technologies to improve efficiency of transportation networks. An ITS integrated with an IoT enhances the capabilities of transportation networks. Owing to quick development of vehicles, traffic congestion during road network is major problems. Therefore, intelligent traffic control system is required to create smart transportation through optimization of vehicle route, and so on. In this paper, Cox Regressive Fuzzified Outlier Robust Incremental Extreme Learning Machine (CRFORIELM) is developed for smart ITS. The IoT technology in IT’S is used to collect traffic data, vehicle information, Parking slot occupancy data. After data collection process, proposed CRFORIELM technique includes two major processing steps namely parking slot availability detection and traffic aware route optimization. The extreme learning machine includes three types of layers such as input, three hidden layers as well as output layer. Initial hidden layer predicts the parking slot availability using Cox regression is performed. With the parking lot availability predictions, integrate this information into a route optimization algorithm. This algorithm considers the real-time traffic conditions as well as parking availability for detecting optimal route by applying fuzzy triangular membership function in the second hidden layer. Finally, nearest route path is effectively determined to minimize travel time in intelligent transport system. Experimental analysis indicates that the CRFORIELM technique achieved 2%, 5%, 10% improvement in accuracy, sensitivity, specificity and reduced error rates, route detection time by 39%, and 36%, compared to existing methods.
Fault diagnosis in high-speed computing systems using big data analytics integrated evolutionary computing on the Internet of Everything platform
Authors: P.Jothi  
Published: April 2024

The significance of high-speed computing systems is paramount for diverse applications. However, their intricate structure and rigorous operational prerequisites render them susceptible to malfunctions. The conventional fault diagnosis models need help managing the copious data produced by these systems, resulting in diagnostic procedures that are both time-consuming and ineffective. The research proposed an Internet of Everything (IoE) platform and big data analytics (BDA) based Fault Diagnosis System (IBFDS) in conjunction with evolutionary computing techniques. The system integrates a hybrid intelligent algorithm that amalgamates the advantages of evolutionary computing and machine learning to enhance the precision and effectiveness of fault diagnosis. The utilization of big data analysis methodologies facilitates the processing and examination of vast quantities of system data, thereby enabling the comprehensive detection and identification of faults. Furthermore, cloud services based on the IoE allow data storage, administration, and instantaneous cooperation among various parties involved.
Furthermore, a detection technique utilizing a Reduced Boltzmann Machine (RBoM) improves the precision of fault diagnosis. The efficacy of the proposed IBFDS was demonstrated through experimental evaluation using a high-speed computing system dataset. The results obtained were impressive, with a fault detection rate (94.11%), fault identification accuracy (93.76%), fault localization accuracy (93.71%), false positive rate (1.54%), and false negative rate (0.98%). The findings of this study make a valuable contribution to the advancement of fault diagnosis systems that are resilient and effective for high-speed computing systems. This facilitates proactive maintenance, enhances system reliability, and optimizes system performance.
Design of a Predictor Model for Feature Selection using Machine Learning Approaches
Authors: P. Pradeep  
Published: April 2024

Parkinson’s disease is a neural degenerative disease where patients’ faces various critical neurological disorders. Thus, the earlier prediction of PD helps to enhance the patients’ life. The prediction of PD in earlier stage is complex and it consumes huge time. Therefore, effectual and appropriate prediction of PD is measured to a challenging factor for the health care experts and practitioners. To deal with this issue and to accurately predict the PD in earlier stage, this work concentrates on machine learning approaches for designing a predictor system. For developing the anticipated model, L1-norm based Genetic algorithm (L1-GA) is applied for predicting PD in the earlier stage. This L1-GA is utilized for selecting the influencing features for accurate prediction. This L1-GA produces newer feature subset from UCI Machine Learning (ML) dataset for PD for measuring feature weights. For validation , this work considers k-fold cross validation (CV) is used. Also, metrics like accuracy, error rate and execution time are evaluated. The inputs are taken from The PD dataset which is available online for preceding the feature selection process. The optimal accuracy attained with these newly selected sub-sets are considered for further computation. The simulation is performed in Python environment and the experimental findings determine that this study recommends that L1-GA provides better contribution towards PD feature selection and to predict PD in earlier stage. In recent times, Clinical Decision Support System (CDSS) plays an essential role for assisting PD recognition. As well, the anticipated model lays a bridge to fill the gap encountered in feature selection using the available data. The anticipated model gives better trade-off in contrast to prevailing approaches.
Design and Pricing Analysis of Electricity Retail Package System Based on Single Pendulum Equation
Authors: Yang Tang  
Published: April 2024

The electricity retail industry is becoming increasingly competitive, and retailers are looking for innovative ways to attract and retain customers. One potential strategy is to offer retail packages that include electricity pricing based on the single pendulum equation (SPE). This article discusses the design of a retail package system for electricity retailers based on the SPE. The system utilizes real-time data on electricity supply and demand to create a dynamic pricing system that adjusts prices based on changes in the market. This article present the single pendulum equation model and data obtained from Residential Electricity End-use Demand Dataset of Costa Rica (REEDD-CR). It outlines the key steps in designing the system, including gathering data on electricity supply and demand patterns, creating a pricing algorithm based on the single pendulum equation, and integrating the system with billing and customer management systems. The article also emphasizes the importance of considering customer preferences and behavior in the design of the system. The study findings stated that single pendulum model has provided an evaluation time of 1.5s and price and demand value of 0.6. A well-designed dynamic pricing system based on the single pendulum equation has the potential to provide customers with cost savings and increased flexibility while allowing retailers to optimize their pricing strategies in a competitive market.