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2025

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Ahp–Python Framework For Multicriteria Modeling Of Rice Production In Asean, Mayang Anglingsari Putri, Risqy Siwi Pradini, Anuraga Jayanegara, Alexander Dimas Yonanta Putra Jan 2025

Ahp–Python Framework For Multicriteria Modeling Of Rice Production In Asean, Mayang Anglingsari Putri, Risqy Siwi Pradini, Anuraga Jayanegara, Alexander Dimas Yonanta Putra

Knowledge Engineering and Data Science

Rice production is a key indicator of food security and agricultural stability in Southeast Asia, especially among Association of Southeast Asian Nations (ASEAN) countries. Despite shared regional goals, disparities in rice production remain, and previous studies mainly rely on descriptive statistics, lacking structured multicriteria decision-making frameworks and computational tools for cross-country comparisons. This study addresses these gaps by proposing an integrated Analytic Hierarchy Process (AHP)–Python framework to evaluate and rank ASEAN rice production from 2013 to 2022. Three criteria are used: Total Production Volume (K1), Production Growth Trend (K2), and Recent Year Performance (K3), capturing both long-term consistency and short-term …

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Stable Numerical Solution Of An Elliptic Pde Inverse Problem Subject To Incomplete Boundary Conditions, Qasim Abd Ali Tayyeh Jan 2025

Stable Numerical Solution Of An Elliptic Pde Inverse Problem Subject To Incomplete Boundary Conditions, Qasim Abd Ali Tayyeh

Knowledge Engineering and Data Science

This study addresses the challenging problem of solving inverse elliptic Partial Differential Equations (PDE) with incomplete boundary data, data available only on a part of the domain boundary. The aim is to develop a robust, effective numerical framework that consistently recovers parameters and/or sources from incomplete, ill-posed data. In the case of a variational problem discretized by the Finite Element Method (FEM) and solved by an adjoint-based optimization strategy, the framework uses Tikhonov regularization. Morozov's Discrepancy Principle is used to determine regularization parameters that achieve the best balance between accuracy and stability. Even with 5% noise in the measurement data, …

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A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann Jan 2025

A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann

Knowledge Engineering and Data Science

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising …

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Assessing Deep Learning Models And Hyperparameter Optimization For Stable Time-Series Electricity Load Forecasting, Sukma Patrya, Aji Prasetya Wibawa, Aripriharta Aripriharta Jan 2025

Assessing Deep Learning Models And Hyperparameter Optimization For Stable Time-Series Electricity Load Forecasting, Sukma Patrya, Aji Prasetya Wibawa, Aripriharta Aripriharta

Knowledge Engineering and Data Science

Long-term electricity load forecasting plays an important role in ensuring system reliability, optimizing energy management, and making operational plans in face of continuously rising electricity demands. This study suggests a complete deep learning method for univariate forecasting of future electricity loads based on climatology and electricity consumption data for the period between 2019 and 2023. The initial dataset was cleaned, normalized, and partitioned chronologically into train/test datasets. Four train/test split cases (20/80, 40/60, 60/40, 80/20) were considered to explore the impact of different levels of historical data availability on the performance of the suggested framework from data-poor to data-rich situations. …

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Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang Jan 2025

Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang

Journal of Scientific Information Research

[Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective,elucidates the logical system of the development of the discipline from the diverse perspectives …

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Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu Jan 2025

Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu

Journal of Scientific Information Research

[Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and …

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The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang Jan 2025

The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang

Journal of Scientific Information Research

[Purpose/significance]This paper aims to explore the evolution trend of research methods in the field of digital humanities with the help of large language model technology. [Method/process]This paper mainly focuses on the data of CNKI journal articles, selects the general Chinese large language model GLM-4, uses prompt engineering and chain of thought to extract and cluster the abstract data, of papers and analyzes its evolution trend through quantitative processing. [Result/conclusion]The study shows that GLM-4 can well identify and extract research methods from complex abstract data. Analyzing the evolution trend in chronological order, it is found that research methods such as "interview …

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Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua Jan 2025

Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua

Journal of Scientific Information Research

[Purpose/significance]Identifying and foreseeing emerging technologies, bring technological first-mover advantages to enterprises and governments, and grasp technological development trends in a timely manner. [Method/process]This study uses BERTopic's topic modeling method to obtain domain topic distribution, and merges paper and patent topics based on the cosine similarity of topic vectors to identify emerging topics. [Result/conclusion]Using the BERTopic topic modeling method combined with index evaluation can effectively identify emerging topics and emerging terms.Taking the field of new energy vehicles as an example to carry out empirical research, using two methods: divided verification period and data verification method, 12 of the 16 identified topics …

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The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim Jan 2025

The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim

Masyarakat: Jurnal Sosiologi

This article examines how dating applications operate as libidinal infrastructures that restructure and commodify intimacy within platform capitalism, using The Tinder Swindler as a cultural case study. Employing a visual-narrative approach within the framework of Critical Discourse Analysis, the film is analyzed to reveal the structural exploitation of user affect and desire. Grounded in Lacanian psychoanalysis and Baudrillard’s simulation theory, the study argues that these platforms capitalize on the subject’s ontological lack (manque) which fuels desire as the desire for the Other’s desire. This psychic lack sustains a perpetual pursuit of recognition that can never be fulfilled. The swindler’s hyper-curated …

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Accessing Online And Remote Learning Platforms In Kenyan Remote Areas During Covid-19 Pandemic, Florence Deya, Jane Rarieya Jan 2025

Accessing Online And Remote Learning Platforms In Kenyan Remote Areas During Covid-19 Pandemic, Florence Deya, Jane Rarieya

Institute for Educational Development, East Africa

Online learning has taken root and with the advancement in technology more and more educators are embracing online learning. During the COVID-19 pandemic, with total shut down of face-to-face learning, the Kenyan government had moved learning online and remotely. To find out on how learners in remote areas were experiencing learning during the COVID-19 pandemic, a study was carried out using rapid ethnography design. Five final year secondary students were sampled. Data was collected through interviews, observations, and document analysis. This paper reports on the findings of online and remote learning platforms, which were available, accessed, and preferred by the …

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Minimizing Cpu Utilization For Job Scheduling Problems By The Advanced Round Robin Method: A Pragmatic Perspective, Haribhau R Bhapkar, Pankaj R Chandre, Parikshit Mahalle Jan 2025

Minimizing Cpu Utilization For Job Scheduling Problems By The Advanced Round Robin Method: A Pragmatic Perspective, Haribhau R Bhapkar, Pankaj R Chandre, Parikshit Mahalle

ASEAN Journal on Science and Technology for Development

CPU scheduling issues include minimizing waiting time for processes, ensuring fairness in resource allocation, and optimizing throughput. Balancing these objectives can be challenging, as improving one aspect may negatively impact another, making it essential to design efficient scheduling algorithms. This work presents an innovative approach to enhance CPU utilization through the development of a Result-Based Round Robin Scheduling Algorithm. Traditional Round Robin Scheduling methods often face challenges in efficiently allocating CPU time, leading to suboptimal system performance. In response to these limitations, the proposed method introduces a result-oriented strategy that dynamically adjusts time quantum allocations based on the execution progress …

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Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan Jan 2025

Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan

ASEAN Journal on Science and Technology for Development

A multi-label pattern classification system tries to predict the set of class labels of a test example by learning from the training examples with the relevant label sets. Classification that involve datasets having multiple labels found immense of applications in pattern analysis tasks involving image, music and video. A test sample can be labeled to indicate different objects, people, music categories or concepts. Classification problems involving data having multiple labels, have to consider training dataset associated with variety of labels. Multi-label extensions of popular algorithms, kNN and Support Vector Machine (SVM) called Multi-label kNN (ML-kNN) and Ranking-SVM are commonly used …

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Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni Jan 2025

Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni

ASEAN Journal on Science and Technology for Development

Solid waste in areas affected by seawater floods must be handled specifically because people often dispose of solid waste on flooded land. This research aims to identify the performance of the community to manage solid waste and solid waste management strategy, solid waste measurement using SNI method 19-3964-1994. Analysis of land affected by seawater floods shows that 12 villages are flooded. Communities in coastal areas are not optimal in managing solid waste because the government has never given directions to manage solid waste in a good way, the facilities and marketing are inadequate so that solid waste is often not …

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Potential Of Green Synthesis Of Silver And Gold Nanoparticles For The Management Of Metabolic Associated Steatotic Liver Disease: A Mini Review, Atiqah Suhaili, Ya Chee Lim, Mei Ann Lim, Lee Hoon Lim, Mohammad Mansoob Khan, Monowarul Mobin Siddique Jan 2025

Potential Of Green Synthesis Of Silver And Gold Nanoparticles For The Management Of Metabolic Associated Steatotic Liver Disease: A Mini Review, Atiqah Suhaili, Ya Chee Lim, Mei Ann Lim, Lee Hoon Lim, Mohammad Mansoob Khan, Monowarul Mobin Siddique

ASEAN Journal on Science and Technology for Development

Metabolic-associated steatotic liver disease is a metabolic disorder with limited pharmacological treatment options and only one approved medication to date. MASLD can be asymptomatic in its earlier stage and hence, prevention of this disease progression is the most effective approach. Recently, green-synthesized nanoparticles, particularly silver (AgNPs) and gold nanoparticles (AuNPs), have gained interest due to their eco-friendly production, biocompatibility, and bioactive properties. This review highlights the biosynthesis of AgNPs and AuNPs using medicinal plant extracts and their reported biological effects relevant to MASLD management including anti-hyperlipidemic, anti-diabetic, antioxidant and anti-inflammatory activities. While findings are promising, further mechanistic studies and preclinical …

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Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo Jan 2025

Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo

ASEAN Journal on Science and Technology for Development

The phenomenon of sea level rise (SLR) is a global issue affecting coastal areas. This study analyzes SLR and land deformation in the subduction zone of the Tanimbar Islands, specifically the coastal regions of Adaut on Selaru Island and Saumlaki on Yamdena Island. Statistical methods and the CEEMDAN algorithm were used to process data on tides, Sea Level Anomaly (SLA), Sea Surface Temperature (SST), and the influence of the El Niño-Southern Oscillation (ENSO) over 30 years (1993–2022). Additionally, land deformation was analyzed using Sentinel-1A imagery. The results indicate that uplift is more dominant than subsidence, with an average annual uplift …

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Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani Jan 2025

Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani

ASEAN Journal on Science and Technology for Development

The proportional systems in vernacular architecture often exist without formal written codification, raising questions about their transmission across generations. Bubungan Tinggi House which is a replica of the Banjar Kingdom palace was built by Banjarese merchants and aristocrats from the 16th to the 19th centuries, showing a uniform aesthetic quality, which indicates a regularity in the proportions of its form. However, no historical written manuals detailing these proportions are known to exist. To prove the existence of regularity in the Bubungan Tinggi House proportion system, research was conducted by taking 7 Bubungan Tinggi House samples spread across South Kalimantan province, …

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Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha Jan 2025

Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha

ASEAN Journal on Science and Technology for Development

One of the methods to protect our environment is to convert the fuel's chemical energy directly into electricity, bypassing the fuel's combustion process. This method is implemented in devices called fuel cells. Among them, the proton exchange membrane fuel cell (PEMFC) is widely used in practice because it has outstanding advantages such as high power density and efficiency, low operating temperature and noise, compactness, fast start-up, and, most importantly, only releases water, entirely safe for the environment. The paper presents a method for selecting materials for manufacturing PEMFC components, making a single PEMFC model based on the materials chosen, then …

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Harmony Or Discord? A Study On The Alignment Between National Objectives And Reformed Social Studies Textbooks In Egypt, Lina Yehia Jan 2025

Harmony Or Discord? A Study On The Alignment Between National Objectives And Reformed Social Studies Textbooks In Egypt, Lina Yehia

Theses and Dissertations

Education systems, in many parts of the world, have served as a channel for communicating national goals to students, and Egypt has not been an exception. This study examines how public textbooks effectively align with equipping future generations of Egyptians to fulfill the nation’s development policy goals set for 2030. Utilizing a qualitative research design, this study employed textbook and document analyses of the published national policy goals of the current administration, along with the most recently reformed social studies textbooks of Grades 4, 5, and 6, a product of EDU 2.0. Based on an analysis of national documents, the …

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