bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGUKURAN FAKTOR ADOPSI INSTANS MESSAGING SEBAGAI PLATFORM LAYANAN AKADEMIK INSTITUSI PENDIDIKAN MENGGUNAKAN TECNOLOGY ACCEPTANCE MODEL
Authors: Suyatno Dwi Fatrianto , Utami Ardhini Warih 
Published: August 2024

Institusi pendidikan sebagai lembaga yang memiliki tujuan dan peranan dalam memberikan pengajaran dan penanaman nilai kehidupan kepada peserta didik. Selain memberikan layanan berupa akademik, dalam Institusi pendidikan juga memiliki dan interaksi antara sekolah, guru dan orang tua peserta didik. Masa pandemi meninggalkan kisah kelam bagi institusi pendidikan, diantaranya ancaman kualitas pendidikan yang memberikan pengaruh pada masa depan pendidikan di Indonesia. Optimalisasi layanan akademik yang dilakukan adalah mempertahankan adanya komunikasi sebagai bentuk interaksi antara pihak sekolah (guru), murid/siswa dan walimurid. Hal ini diwujud nyatakan dengan menjadikan instans messaging sebagai platform layanan akademik guna mengetahui kemajuan belajar peserta didik oleh hampir seluruh institusi pendidikan di Indonesia (Sekolah). Penggunaan instant messaging dilakukan oleh institusi pendidikan hingga saat ini. Banyak sekali keuntungan yang didapatkan ketika menggunakan instant messaging sebagai bagian dari layanan akademik instusti pendidikan khususnya terkait dengan akademik peserta didik. Penelitian pengukuran faktor adopsi instant messaging dilakukan dengan menggunakan variabel yang terdapat dalam model TAM, teknik analisa menggunakan SEM dan tools SMART PLS. Penelitian ini mengukur faktor-faktor yang mempengaruhi tingkat adopsi instant messaging dilingkungan institusi pendidikan dan menghasilkan enam hipotesis yang diterima.
Systematic Literature Review Penggunaan Metodologi Pengembangan Sistem Informasi Waterfall, Agile, dan Hybrid
Authors: Haniva Diandara Tresya , Ramadhan Jadid Alif , Suharso Aries 
Published: August 2024

Abstrak— Pemilihan metodologi pengembangan sistem informasi adalah suatu hal penting yang perlu dilakukan sebelum membangun sebuah sistem. Pemilihan metodologi ini seringkali disesuaikan dengan lingkungan proyek yang kita hadapi, namun terkadang kita masih kebingungan dalam memilih metodologi apa yang sebaiknya digunakan agar sistem yang dirancang dapat memiliki kinerja yang baik dan efisien. Hingga saat ini, metode Waterfall merupakan yang paling populer digunakan, namun metode pengembangan tersebut bersifat kaku dan kurang cocok digunakan bagi lingkungan proyek dengan jangka waktu yang singkat. Sehingga, penelitian ini bertujuan untuk membandingkan penggunaan metodologi pengembangan sistem informasi yakni Waterfall yang dikenal sistematis, Agile yang dikenal tangkas, dan Hybrid yang merupakan gabungan dari kedua metode tersebut dalam pengembangan suatu sistem informasi, serta mengkaji lingkungan seperti apa yang cocok digunakan untuk ketiga model tersebut. Penelitian ini berupa Systematic Literature Review dengan sumber data yang dipakai pada penelitian ini didapatkan dengan bantuan perangkat lunak Publish and Perish 8. Lalu, didapatkan hasil bahwa metode Waterfall cocok digunakan untuk lingkungan proyek dengan skala yang tidak terlalu besar, metode Agile cocok digunakan untuk lingkungan proyek yang memiliki jangka waktu singkat, dan metode Hybrid bisa digunakan apabila membutuhkan keunggulan dari kedua metode yakni Waterfall dan Agile.

Kata Kunci— Systematic Literature Review, Waterfall, Agile, Hybrid, Software Development Life Cycle
Sistem Rekomendasi Topi Berbasis Website Menggunakan Transfer Learning Pre-trained Model Residual Network
Authors: Yamasari Yuni , Muttaqin Aziz Fiqri 
Published: August 2024

Topi merupakan aksesoris penting di negara tropis karena topi berfungsi sebagai pelindung kepala baik dikala panas ataupun hujan. Sehingga, keberadaan sistem rekomendasi topi sangat diperlukan. Namun, penelitian tentang system rekomendasi topi masih sedikit dilakukan. Oleh karena itu, Penelitian ini dilakukan untuk membantu pengguna dalam menentukan topi yang sesuai dengan jenis wajahnya.
Hasil pengujian dari sistem rekomendasi topi menunjukkan bahwa sistem rekomendasi topi berbasis website menggunakan metode transfer learning pretrained model residual network memberikan hasil yang baik dengan rata-rata 0,826 pada pengujian pertama dan rata-rata 0,924 pada pengujian kedua, sehingga sistem rekomendasi topi ini diharapkan dapat membantu pengguna dalam memilih jenis topi yang disesuaikan dengan jenis wajah pengguna.

Kata Kunci— Sistem, Rekomendasi, Topi, Website, Transfer Learning.
Leak Detection in Urban Hydraulic Systems Using the K-BiLSTM-Monte Carlo Dropout Model
Authors: Ladino-Moreno Edgar Orlando , García-Ubaque César Augusto 
Published: August 2024

Utility companies lose approximately 35 liters of water for every 100 produced due to incorrect, illegal connections and the poor condition of pipes. This study develops an intelligent model to detect leaks using the Kalman filter, BiLSTM neural networks, and the Monte Carlo Dropout algorithm. Using data from the Empresa de Acueductos y Alcantarillados de Bogotá (EAAB), Colombia, autocorrelation analysis, PCA, cluster analysis, ADF and Durbin-Watson tests, Hurst exponent, spectral analysis, and wavelet transform were performed. Then, Kalman filtering techniques were applied, and a BiLSTM architecture controlled with Monte Carlo dropout was implemented. The results showed an accuracy of 87.48% in training and 80.48% in validation. Temporal analysis revealed a stationary behavior in the flow series, and the decrease in spectral intensity around 0.25 Hz was related to pressure perturbations caused by leaks. A detailed evaluation of pressure and flow signals identified leak patterns with high precision, demonstrating the effectiveness of the wavelet spectrogram in detecting energy disturbances. The novelty of the study lies in the integration of advanced artificial intelligence and combinatorial optimization techniques to improve water resource management, allowing early and accurate detection of leaks, significantly improving compared to traditional methods. Doi: 10.28991/CEJ-2024-010-07-01 Full Text: PDF
Evaluating the Performance of Right Turn Lanes at Signalized Intersection Using Traffic Simulation Model
Authors: Alkaissi Zainab Ahmed 
Published: August 2024

The issue of traffic congestion at signalized intersections is a concern in transportation systems due to the growth of urban areas and increased vehicular transportation. To study the evolution of congestion and evaluate the traffic performance operation of signalized intersections under problematic congested and improved conditions, the microscopic simulation VISSIM software is utilized. The objectives of this paper are to evaluate operational techniques, build a simulation model, and produce a well-calibrated and validated model. The methodology procedure to evaluate the signalized intersection involves the application of a traffic simulation model to observe real-time delays and stopped vehicles. Using the VISSIM software Version 9 to create an intersection model and redesign geometry with an exclusive right turn to enhance the intersection functionality and reduce delay. Our research focused on the Al-Nakhala signalized intersection located in the southern part of Palestine urban street in Baghdad city. This intersection is one of the busiest along the corridor due to significant land-use changes in the study area, including residential, educational, or commercial areas generating daily pressure from additional trips and saturating the absorptive capacity of the intersections. The proposed scenario of an exclusive right–turn could reduce the queue length and vehicle delay at the signalized intersection, resulting in a more efficient traffic operation. As a result of the reduction in vehicle delay, the Level of service (LOS) for the north, west, and east approaches improved from F to D. However, there was only a slight improvement for the south approach, with the LOS changing from E to F. Nonetheless, there was a noticeable reduction in queue length and vehicle delay ranging from 25% to 50%. Doi: 10.28991/CEJ-2024-010-07-010 Full Text: PDF
Artificial Intelligence for Application in Water Engineering: The Use of ANN to Determine Water Quality Index in Rivers
Authors: Ismail Rabah , Rawashdeh Adnan , Al-Mattarneh Hashem , Hatamleh Randa , Telfah Dua’a B. , Jaradat Aiman 
Published: August 2024

To improve water quality, total daily loads must be established, and this requires determining the quality of the water in rivers, storage tanks, ponds, and coastal areas. Current methods to evaluate water quality involve the collection of water samples for subsequent laboratory analysis. Although these technologies offer precise measurements for a specific location and time, they are expensive, time-consuming, and do not provide the continuous, temporal, or spatial conditions of water quality that are required for managing, assessing, and monitoring water quality. In order to calculate the water quality, the water quality index is modeled using artificial neural network models that incorporate feedforward neural network backpropagation neural networks and radial neural networks. The water quality index of Malaysia’s Klang River was determined by training the artificial network using six major sub-quality parameters. Compared to the current method, the artificial neural network simplifies and expedites the computation of the water quality index. The artificial neural network method could provide a significant saving in terms of money and time while offering a robust assessment of water quality. The proposed method could also be used as an early warning system for pollution of water bodies. The best artificial neural network was the feedforward neural network with one hidden layer containing 5 neurons. Furthermore, conventional approaches for calculating the water quality index rely on empirical equations, often introducing a high degree of approximation and uncertainty into the results. Moreover, these equations cannot be applied when some parameters are not measured. In contrast, the artificial neural network methods and technique offer an efficient and straightforward process for estimating and creating prediction models for water quality index. Doi: 10.28991/CEJ-2024-010-07-012 Full Text: PDF
The Hybrid System of Fluidization and Sediment Flushing for Maintenance Dredging Technique
Authors: Azis Rudi , Maricar Farouk , Thaha Muhammad Arsyad , Bakri Bambang 
Published: August 2024

The Hybrid System of Fluidization-sediment flushing is a dredging technique that combines the functions of fluidization and suction in the same fluidization pipe using a perforation pipe. The purpose of this study was to address an easier dredging method using fluidization pipes. 2-dimensional (2D) experimental physical modeling research and multiple linear regression analysis were used to process the test result. The results found that for optimal sediment flushing after the sediment layer was agitated by fluidization, the influence parameter was analyzed must follow the limitations of the experimental result, such as the hole diameter (Df) is not more than 5 mm (Df < 5 mm), the hole distance (ɑ) is less than 5 cm (ɑ/db < 5 cm), the pump head (HP) is small, and the fluidization pipe depth/sediment thickness (db) can be larger. The research findings are presented in the correlation equation which indicates the relationship of dimensionless parameters was Vs/Vw = 1/Df ((ɑ/db), (HP/db), (t.(g×0.5)/(db0.5)), (v/(g.db(S – 1)0.5)) which can be applied to 3-dimensional experiments and field experiments. One of the advantages of the hybrid system of fluidization-flushing sediment is its ease of use and lack of impact on the aquatic environment as a dredging technique. Doi: 10.28991/CEJ-2024-010-07-013 Full Text: PDF
Estimation of Soil Loss using Remote Sensing Data in a Regional Tropical Humid Catchment Area
Authors: Nze Clement O. , Agunwamba Jonah C. 
Published: August 2024

Soil erosion has been and continue to be a major threat to environmental degradation especially in the developing countries. Accurate estimation of soil loss will provide reliable information in the management and mitigation solutions to soil erosion. In this study, the soil loss in an erosion prone Anambra State of South East region of Nigeria was estimated. Due to the complex nature of the catchment characteristics of Anambra State, soil loss cannot be estimated precisely by mere application of conventional soil erosion model. Hence a site-specific methodology was developed and applied. Revised Universal Soil Loss Equation (RUSLE) was integrated with the Geographic Information System (GIS) of the environment using remote sensing to build the model. 40-years rainfall data was collated from the Nigeria Meteorological Agency and analyzed. The various parameter of RUSLE which includes: Rainfall Erosivity (R), Soil Erodibility (K), Topography (LS), Land Use and Land Cover (C), and Erosion Control practices (P) were developed and imposed into ArcGIS 10.6 to estimate the amount of annual soil loss in the area. The result indicated that about 27.58km2 (0.59%) of the study area have very low erosion rate of 0 – 5 t ha1year-1 , while the rates of erosion in 1311.52km2 (28.01%), 538.59km2 (11.50%), 1649.08km2 (35.22%), 959.09km2 (20.48%), and 196.76km2 (4.20%) of the study area are 5–10, 10–15, 15–25, 25–50 and >50 t ha-1year-1respectively. This knowledge will help decision makers in managing the land degradation problems in Anambra State of Nigeria. Doi: 10.28991/CEJ-2024-010-07-014 Full Text: PDF
The Effect of Oil Contaminated on Collapse Pattern in Gypseous Soil Using Particle Image Velocimetry and Simulation
Authors: Jawad Hala Mahmood , Jahanger Zuhair Kadhim 
Published: August 2024

Gypseous soil covers approximately 30% of Iraqi lands and is widely used in geotechnical and construction engineering as it is. The demand for residential complexes has increased, so one of the significant challenges in studying gypsum soil due to its unique behavior is understanding its interaction with foundations, such as strip and square footing. This is because there is a lack of experiments that provide total displacement diagrams or failure envelopes, which are well-considered for non-problematic soil. The aim is to address a comprehensive understanding of the micromechanical properties of dry, saturated, and treated gypseous sandy soils and to analyze the interaction of strip base with this type of soil using particle image velocimetry (PIV) measurement and Plaxis 3D simulation. The results showed that high-resolution digital cameras captured soil deformation using PIV, displacement fields, and velocity vectors were generated, which helped identify different sand movement zones. Further, PIV showed punching and general shear failure in uncontaminated and soaked contaminated gypsum soils, respectively. Moreover, the Plaxis results corresponded well with the PIV, as material behavior models are essentially simplified representations of the actual behavior of footing and soil. Understanding soil deformation behavior is crucial for accurate engineering calculations and designs, making these findings valuable for geotechnical and construction engineering applications. Doi: 10.28991/CEJ-2024-010-07-016 Full Text: PDF
SWOT Analysis of the Benefits of Hydropower Energy in Four Archipelagos
Authors: Cruz-Pérez Noelia , Rodríguez-Alcántara Joselin S. , Koronaiou Vasiliki L. P. , Jančula Anja , Rodríguez-Martín Jesica , García-Gil Alejandro , Fontes Jose C. , Santamarta Juan C. 
Published: August 2024

Increasing energy production through renewable sources is a challenge for islands. This paper investigates the potential of hydropower as a renewable energy source for islands in the Macaronesia region, which includes the Azores, Madeira, Canary Islands, and Cape Verde. Ecological transition towards renewable energy sources is crucial for these islands due to their current dependence on imported fossil fuels and their remoteness. The methodology used in this paper combines a SWOT analysis with a review of relevant literature. The SWOT analysis evaluates the Strengths, Weaknesses, Opportunities, and Threats associated with hydropower development on each island. The results show that each island has unique characteristics that influence its hydropower potential. The Azores has existing mini-hydropower plants and opportunities for pumped storage systems due to its rainfall and volcanic features. Madeira also utilizes hydropower, including the world's first underground pumped storage plant (UPHS) in Socorridos. However, limitations exist due to the mountainous terrain and competition for water resources. The Canary Islands showcase the success story of El Hierro Island, which significantly increased renewable energy penetration through a wind farm and pumped storage hydropower system. The topography and lack of rainfall on Cape Verde make the development of hydropower a significant challenge and, as a result, the focus has shifted to wind power. The study concludes that hydropower can play a significant role in the ecological transition of these islands. However, careful planning and consideration of environmental factors are necessary to maximize the benefits and minimize the potential drawbacks. The paper emphasizes the importance of island-specific assessments and exploring opportunities for pumped storage systems. Doi: 10.28991/CEJ-2024-010-07-019 Full Text: PDF
Influence of Temperature on the Viscoelastic Behavior and Durability of Flexible Pavements
Authors: Ben Charhi Omar , Baba Khadija 
Published: August 2024

This study meticulously examines the impact of temperature variations on the viscoelastic characteristics of flexible pavements composed of mineral aggregates and bituminous binders. The primary objective is to understand how temperature fluctuations affect the structure and durability of these pavements, designed to withstand traffic loads while absorbing stresses induced by weather conditions. The methodology involves a thorough analysis of a range of temperatures from T1 to T4, assessing their effects on road rutting and the longevity of pavement infrastructure. Through a detailed analytical approach, the research investigates the viscoelastic behavior of bituminous mixes, which display viscous and elastic properties that change with temperature. The findings reveal significant correlations between temperature variations and the performance of flexible pavements, offering insights into their structural resilience and durability under different climatic conditions. This research introduces a novel approach to managing flexible pavement infrastructure by enhancing our understanding of the temperature-induced viscoelastic response. The improvement lies in the precise quantification of temperature impacts, which can inform better maintenance and design strategies for flexible pavements. Ultimately, this leads to more resilient and long-lasting road surfaces, addressing the critical need for durable infrastructure in changing weather patterns. Doi: 10.28991/CEJ-2024-010-07-06 Full Text: PDF
ANALISIS PENGARUH PENGELUARAN PEMERINTAH DAN INVESTASI TERHADAP PEMBANGUNAN MANUSIA MELALUI PERTUMBUHAN EKONOMI DAERAH ISTIMEWA YOGYAKARTA
Authors: Rahajeng Neysa Alifia  , Moh. Khusaini  
Published: August 2024

The achievement of human development is frequently interconnected with the economic growth. Fiscal decentralization allows local governments to enhance budget management in order to stimulate economic growth through expenditure and investment. Despite having the second highest Human Development Index (HDI) in Java, the Special Region of Yogyakarta faces difficulties of being the province with the lowest economic growth in Java. Hence, the government's involvement in allocating funds towards education, healthcare, and investment is crucial in fostering economic growth and promoting human development. This study used path analysis technique to investigate the correlation between government expenditure on education and health services, as well as the investment in human development through economic growth in the District/City of Yogyakarta Special Region. The data used is secondary data collected between 2015-2021, encompassing four districts and one city. The research using the trimming model revealed that government expenditure on the education sector has a noteworthy adverse impact on HDI, albeit indirectly, affecting economic growth. Government expenditure on healthcare has an indirect but significant positive impact on the HDI via promoting economic growth. Conversely, investment does not exert a substantial impact, either directly or indirectly on HDI.
PENGARUH PERTIMBANGAN PASAR KERJA, GENDER DAN GAJI TERHADAP MINAT MAHASISWA AKUNTANSI BERKARIR MENJADI AKUNTAN PUBLIK
Authors: Fiorentina Yulia , Desitama Anggraini Leriza , Sari Rafika 
Published: August 2024

Penelitian ini bertujuan untuk menguji Pengaruh Pertimbangan Pasar Kerja, Gender dan Gaji Terhadap Minat Mahasiswa Akuntansi Berkarir Menjadi Akuntan Publik. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif. Sumber dan jenis data primer dan data sekunder dengan metode pengumpulan data menggunakan kuesioner yang disebarkan kepada mahasiswa Akuntansi Angkatan 2020 di Universitas Indo Global Mandiri.. Sampel yang diambil sebanyak 59 responden. Data diolah menggunakan regresi linear berganda yang didahului oleh analisis uji F dan uji t serta analisis koefisien determinasi (R).Hasil analisis data dengan bantuan Statistical Product and Service Solutions (SPSS) Versi 26. Hasil penelitian ini menunjukkan bahwa variabel Pertimbangan Pasar Kerja dan Gaji berpengaruh positif dan signifikan terhadap minat mahasiswa akuntansi berkarir menjadi akuntan publik sedangkan variabel Gender tidak berpengaruh dan signifikan terhadap minat mahasiswa akuntansi berkarir menjadi akuntan publik
Evaluation of Crude Enzyme Addition Based Muscovy Duck Feed on Reproduction Perfomance
Authors: Prasetya Putra Ghalib Abrar , Achadiah Rachmawati  , Irfan H. Djunaidi  
Published: August 2024

The purpose of this was to evaluate the reproductive perfomance of muscovy duck by using crude enzymes as additive in basal feed. The research materialâ€™s 32 muscovy duck, 4 males,Â 28 females, aged 5 months and normal body weight of males muscovy duck 3,5 â€“ 4 kg dan females 2 â€“ 2,5 kg. The feed material used was basal feed with the addition crude enzymes in each treatment. The cage equipment used were feed, water cup, hatching machine and scales. The research was conducted for 40 days with experimental methods and Cross Over Design (Switching Design) observation period of four times, seven days with treatment, three days of break and start again next period. Â The addition of crude enzymes in muscovy duck feed can improve reproductive perfomance. The results showed that the use of 0.2% crude enzymes (T2) in basal feed can increase the hatching weight of day old duck and dod survival without mortality. The other results, increased hatchability occurred in the basal feed containing 0.1% crude enzymes (T1), compared to the control feed without the addition of crude enzymes. This means that using of 0.2% crude enzymes in feed as an additive increased hatching weight, dod survival and muscovy duck hatchability.