bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Data Cleaning System for Consumer Master Data using Sorted Neighborhood and N-Gram Methods
Authors: LESTANTO YUSUF , MUALIFA RAHMA 
Published: February 2025

ABSTRAKPenelitian ini mengembangkan sistem pembersihan data master menggunakan metode Sorted Neighborhood Method (SNM) dan N-gram untuk mendeteksi dan menghilangkan duplikasi serta menstandarkan format nama dan alamat. SNM menangani pra-pembersihan, menghapus karakter dan judul tertentu, dan membentuk token untuk perbandingan. N-gram menghitung kemiripan dengan nilai dan ambang batas yang ditentukan. Efektivitas metode dievaluasi menggunakan metrik recall, precision, dan F-measure pada dua set data: kecil dan besar. Ambang batas optimal, panjang token, dan nilai N-gram masing-masing adalah 0.7, 5, dan 2, menghasilkan nilai F-measure tertinggi. Hasilnya mengonfirmasi keberhasilan implementasi dan meningkatkan kualitas data. Identifikasi parameter optimal memberikan tolok ukur untuk upaya pembersihan data, berpotensi menyederhanakan proses dan mengurangi sumber daya pemeliharaan data.Kata kunci: Pembersihan data, Deteksi duplikasi, Sorted Neighborhood, N-Gram, Kualitas data. ABSTRACTThis study developed a data cleaning system for master data using the Sorted Neighborhood Method (SNM) and N-gram methods to detect and eliminate duplicates and standardize name and address formats. The proposed SNM algorithm handles precleaning tasks, removes specific characters and titles, and forms tokens for comparison. The N-gram algorithm calculates record similarity using user-defined N-gram values and thresholds. The effectiveness was evaluated using recall, precision, and F-measure metrics on small and large datasets. The optimal threshold, token length, and N-gram values were 0.7, 5, and 2, respectively, yielding the highest F-measure scores. The results confirm the successful implementation and improvement of data quality. Identifying optimal parameters provides a benchmark for future data-cleaning efforts, potentially streamlining processes and reducing resources.Keywords: Data cleaning, duplicate Detection, Sorted Neighborhood, N-Gram, Data quality.
Pengembangan Minat Baca Anak Melalui Latihan Membaca di Desa Padang Pelasan
Authors: Sari Yesi Ratna , Ayuh Eceh Trisna , Gunawan Hafiz 
Published: February 2025

Minat baca merupakan salah satu fondasi pentingdalam perkembangan kognitif dan kemampuan akademis anak-anak. Sayangnya, di banyak daerah, terutama di desa-desaterpencil seperti Desa Padang Pelasan, minat baca anak-anakseringkali rendah. Kegiatan latihan memiliki tujuan untukmengembangkan minat baca anak-anak di Desa Padang Pelasanmelalui latihan membaca yang terstruktur dengan menggunakanbuku bacaan Tingkat Sekolah Dasar (SD). Rendahnya minat bacaanak-anak di desa ini dipengaruhi oleh keterbatasan aksesterhadap buku yang sesuai serta minimnya dukungan darilingkungan. Program latihan membaca yang diterapkanmelibatkan guru, orang tua, serta mahasiswa Kuliah Kerja Nyata(KKN) Universitas Muhammadiyah Bengkulu dalam menciptakanlingkungan yang mendukung literasi anak-anak. metode kegiatanyang dilakukan adalah 1) Penyusunan Program Latihan Membaca, 2)Kegiatan Membaca Harian. 3) Kegiatan Membaca Bersama, 4) Monitoring dan Evaluasi. Hasil dari program ini menunjukkanpeningkatan signifikan dalam minat baca anak-anak sertapeningkatan kemampuan literasi. Kolaborasi antara sekolah, keluarga, dan masyarakat berperan penting dalamkeberhasilan program ini.
Development of Drip Irrigation Monitoring and Control System Model Based on the Internet of Things Using Android Applications
Authors: Walid Miftahul , Horiyah Horiyah , Rofiuddin Rofiuddin , Susilo Purnomo Hadi , Wahyudi Muhammad Hasan 
Published: February 2025

Background: Efficient water management is crucial for sustainable agriculture, particularly in regions with limited water resources. Drip irrigation systems, when integrated with the Internet of Things (IoT), offer a promising solution to optimize water usage and enhance agricultural productivity. Objective: This study aims to develop an IoT-based drip irrigation system to improve water efficiency and support small-scale farmers by providing a cost-effective and adaptable solution. Methods: The system employs multiple sensors to monitor key environmental parameters, including soil moisture, air temperature, and water levels in the tank. The collected data is transmitted to the ThingSpeak cloud platform via an Android application for real-time monitoring and control. Performance metrics such as sensor reaction time, solenoid valve response time, and pump response time were analyzed to evaluate system effectiveness. Results: Experimental findings show that the system effectively monitors and regulates irrigation, with an average sensor reaction time of 2.95 seconds, a solenoid valve response time of 2.75 seconds, and a pump response time of 2.3 seconds. The system successfully automates irrigation, ensuring optimal water usage. Conclusion: The IoT-based drip irrigation system enhances water resource management, increases crop yield, and reduces operational costs. While the system demonstrates high efficiency, further research could focus on scalability, integration with predictive analytics, and adaptation to different crop types and environmental conditions.
Environmental Acoustic Features Robustness Analysis: A Multi-Aspecs Study
Authors: Semma Andi Bahtiar , Kusrini Kusrini , Setyanto Arif , Da Silva Bruno , Braeken An 
Published: February 2025

Abstract—Background: Acoustic signals are complex, with temporal, spectral, and amplitude variations. Their non-stationarity complicates analysis, as traditional methods often fail to capture their richness. Environmental factors like reflections, refractions, and noise further distort signals. While advanced techniques such as adaptive filtering and deep learning exist, comprehensive acoustic feature analysis remains limited. Objective: This study investigates which acoustic features maintain the highest robustness across diverse environments while preserving discriminative power. Methods: Audio samples were recorded in controlled environments (jungles, cafés, factories, streets) with varying noise levels. Standardized equipment captured 22050 Hz, 16-bit audio at multiple positions and distances. After amplitude standardization, various acoustic features were extracted and analyzed. Results: MFCCs demonstrated exceptional reliability, with correlation coefficients of 0.98819 and 0.98889 for closely positioned devices and a robustness score of 0.99. Across different acoustic scenes and sample lengths (1, 3, 5s), MFCCs maintained high correlation (≈0.978) and robustness (0.98), confirming their versatility. Conclusion: MFCCs proved highly effective for acoustic fingerprinting across settings. Despite limitations in tested environments (≤5m distance, ≤5s samples), their consistent performance validates the methodology. Future research should explore combining MFCCs with spectral features and expanding studies to broader environments and device types.
Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks
Authors: Agustin Tinuk , Saputro Indrawan Ady , Rahmadi Mochammad Luthfi 
Published: February 2025

Background: Rice disease classification using CNN models faces challenges due to limited data, particularly in minority classes, and inconsistent image quality, which affect model performance. Data augmentation techniques can potentially enhance classification accuracy by improving data diversity and quality. Objective: This study evaluates the effectiveness of data augmentation techniques, specifically classical augmentation and Deep Convolutional Generative Adversarial Networks (DCGAN), in improving CNN performance for rice disease classification. Methods: A quantitative study was conducted using four CNN training scenarios: no augmentation, classical augmentation, DCGAN augmentation, and a combination of both. Model accuracy was analyzed to determine the impact of each augmentation technique. Results: The baseline CNN model achieved an accuracy of 91.88%. Classical augmentation improved accuracy by 2.56%, while DCGAN augmentation led to a 5.44% increase. The combination of classical augmentation and DCGAN yielded the highest accuracy of 98.13%. Conclusion: Data augmentation significantly enhances CNN performance in rice disease classification, with the combined approach of classical augmentation and DCGAN proving to be the most effective. These findings highlight the importance of augmentation techniques in addressing data limitations and improving classification accuracy. Future research should explore additional augmentation strategies and test the model across different datasets to further validate its effectiveness.
Penetapan Batas Wilayah RT & RW Di Kelurahan Sembulang melalui Pemetaan Partisipatif
Authors: Gustin Oktavianto , Roziqin Arif , Rassarandi Farouki Dinda , Triwinarko Andy , Irawan Sudra , Sari Luthfiya Ratna , Chayati Siti Noor , Pratama Rizki Widi , Ghazali Muhammad , Haiqal Muhammad , Wandanita Melia 
Published: February 2025

Kota Batam sebagai destinasi wisata dapat didukung dengan pengembangan daerahnya termasuk daerah kelurahan Sembulang melalui pembuatan Peta wilayah RT dan RW di Kelurahan/Desa Sembulang. Peta RT dan RW skala besar ini memiliki peran sebagai dokumen resmi yang mencatat batas wilayah secara administrasi, informasi spasial lainnya dalam peta ini nantinya diperlukan dalam pengembangan Kelurahan/Desa untuk menyusun rencana tata ruang dan inverntarisasi potensi desa. Selain itu batas daerah ini berfungsi menciptakan tertib administrasi, kepastian hokum sehingga diharapkan meminimalisir konflik batas, perhitungan fiscal daerah dan identifikasi potensi daerah (Afdhalia et al., 2021; Lestari et al., 2020; Kemendagri.2016; Budisusanto et al.,2014). Metode kartometrik dapat digunakan dalam penetapan dan penegasan Batas Kelurahan/Desa sesuai dengan peraturan Badan Informasi Geospasial (BIG) No.15 Tahun 2019. Sehingga tim pengabdian pada tahun ini mengusulkan Pemetaan Batas Wilayah RT dan RW secara kartometris di Kelurahan Sembulang. Pada pengabdian ini akan dilakukan Delineasi peta RT dan RW Kelurahan Sembulang. Penetapan Batas melalui pemetaan partisipatif dan FGD, dan melakukan penyerahan produk hasil berupa Peta RT dan RW Kelurahan Sembulang.

Peta Batas Wilayah RT RW Sembulang di buat dengan ukuran Kertas A3 yang di serahkan ke pihak Kelurahan Sembulang. Peta ini memuat informasi mengenai batasan wilayah RT&RW di Kelurahan Sembulang sebagai kebutuhan informasi terhadap warga di Kelurahan Sembulang. Berdasarkan hasil dari pengukuran ini, terdapat beberapa perubahan pada peta kasaran yang sebelumnya diberikan oleh pihak Kelurahan Sembulang yaitu pemekaran pada salah satu RT, yang dimana awalnya merupakan 1 RT. Dari hasil pengabdian ini telah diserahkan peta batas wilayah kepada pihak Kelurahan Sembulang dalam format cetak.
Cloud-Based Integrated Financial Application Design for MSMEs
Authors: Mayasari Mega , Lawita, B.Com., MAccBIT Nadia Fathurrahmi , Supardianto Supardianto , Arniati Arniati 
Published: February 2025

Abstract. Saat ini, telah tersebar berbagai macam aplikasi keuangan dan akuntansi yang tersedia secara bebas ataupun berbayar. Namun, belum tentu aplikasi yang tersedia tersebut sesuai dengan kebutuhan pelaku Usaha Mikro, Kecil, dan Menengah (UMKM). penelitian sebelumnya hanya mereview beberapa aplikasi keuangan dari Play Store, dan hanya berfokus pada aplikasi Point of Sale (POS) serta belum mengintegrasikan fungsi pembuatan laporan keuangan dan perhitungan Break Even Point (BEP). Penelitian ini bertujuan melakukan feasibility study teknis terkait aplikasi keuangan terintegrasi berbasis cloud dan merancang aplikasi keuangan tersebut. Integrasi meliputi fungsi pembuatan laporan keuangan dan fungsi perhitungan BEP. Metode pengumpulan data dengan melakukan FGD kepada 10 Pengelola UMKM yang tergabung dalam komunitas usaha di Indonesia. Metode pembuatan aplikasi keuangan terintegrasi menggunakan pendekatan Rapid Application Development (RAD). Hasil feasibility teknis menunjukkan bahwa content of site: 60% setuju bahwa konten aplikasi ini direview oleh para ahli dibidangnya, authority of source: 53% responden setuju bahwa informasi yang ada di dalam website dibuat oleh professional yang dapat dipertanggung jawabkan sesuai bidangnya, design: 72% responden setuju dan 18% responden menyatakan sangat setuju dengan desain website bantu umkm memiliki navigasi yang mudah, tulisan mudah dibaca, halaman website aplikasi bantu umkm jelas, accessibility dan availability of information: 65% responden setuju dan 25% responden menyatakan sangat setuju bahwa situs web ini mudah diakses, quality of links to other sources: Sekitar 56% responden setuju dan sangat setuju bahwa link website ini telah direview, user support: 50% tidak setuju jika website aplikasi Bantu UMKM memberikan informasi terkait pihak yang dapat dihubungi dan terdapat kotak saran, perceived information quality: 49% responden setuju dan 8% responen menyatakan sangat setuju jika konten informasi yang ada di dalam aplikasi web Bantu UMKM ini update, bebas dari kesalahan dan memiliki data yang lengkap, trust: 47% responden menyatakan setuju dan 7% menyatakan sangat setuju bahwa link aplikasi website Bantu UMKM dapat melindungi data privasi pengguna, perceived usefulness: sekitar 73% setuju bahwa situs web ini mudah dinavigasi dan mudah dipelajari cara menggunakannya, intention to use: 50% setuju dan sangat setuju sedangkan 50% responden lainnya menyatakan netral untuk menggunakan aplikasi berbasis web ini di masa mendatang namun setelah beberapa perbaikan mereka merekomendasikan menggunakan. Hasil perancangan aplikasi keuangan terintegrasi berbasis cloud dengan nama BANTU UMKM. Aplikasi ini mengintegrasikan antara fungsi laporan keuangan dan fungsi perhitungan BEP
Investment Decisions in Business Strategy: The Role of Leverage, Sales Growth, Liquidity, Profitability, and Cash Flow
Authors: Ridzal Nining Asniar , Amiruddin Amiruddin , Syarifuddin Syarifuddin , Darmawati Darmawati , HS Rahmawati 
Published: February 2025

The purpose of this study is to ascertain how investment decisions in technology businesses listed on the Indonesia Stock Exchange are influenced by factors such as leverage, cash flow, profitability, sales growth, and liquidity. By gathering annual reports and financial report data, this study was carried out on technology companies listed on the Indonesia Stock Exchange (BEI). The population of this research is 44 technology sector companies listed on the IDX. The sample was determined using the Purposive Sampling method using criteria. There are six companies that meet the criteria, and this research was conducted for five years, so there is a total of 30 data in this research. The type of data used is quantitative data in the form of financial reports and annual reports of technology sector companies listed on the IDX for the 2018-2022 period, which is secondary data from this research. The data analysis method used in this research is a quantitative descriptive analysis method with Multiple Linear Regression analysis using the SPSS ( Statistical Package for the Social Sciences) statistical tool. The findings of this research are that leverage influences investment decisions . The sales growth variable has a positive effect on investment decisions . The liquidity variable has a positive effect on investment decisions with value significant of 0.041 . Meanwhile, the profitability and cash flow variables partially have no effect on investment decisions, with significance values of 0.112 and 0.113 respectively .
Quality of Life Determinants among Dalit and Non-Dalit Elderly Populations in Nepal
Authors: Bijaya Mani Devkota  , Lal Bahadur Oli  
Published: February 2025

This study examines socio-demographic and economic determinants regarding the quality of life (QoL) among Dalits and Non-Dalit in the elderly populations of Nepal, particularly in Palungtar Municipality, Gorkha District. It employs a descriptive and explanatory design, interviewing 430 individuals aged 60 and above. The major evidence found includes various disparities in QoL determinants, illiteracy among Dalits registered at 78.11 percent, whereas Non-Dalit had an illiteracy rate of 64.92 percent (χ² (2) = 8.7406, P = 0.000). This gap is even clear in terms of employment; the retired employee status is reported by only 1.8 percent of Dalits compared to 6.5 percent of Non-Dalit (χ² (1) = 5.1930, P = 0.023). The income group is alarming; around 72.7 percent of Non-Dalit earn more than Rs.500,000 in a year, as opposed to only 27.3 percent of Dalits (χ² (1) =8.67010, P=0.031). The logistic regression analysis yielded significant predictors of QoL with age found to be positively associated with QoL (β=0.129, p<0.01), which could indicate prospective adaptability among older adults. Literacy (β = -0.374, p < .01) and school education (β = -0.380, p < .05) are negatively related parameters, signifying the need for educational equity along the dimension. Employment (β = 0.569, p < .05) and income (β = -0.045, p < .05) contribute positively to QoL, while retirement (β = 1.282, p < .01) presents as a significant measure of determining one's experience of QoL. This study points to systemic inequities and calls for specific measures in education, equity in income, and inclusive policies to improve QoL in marginalized (Dalit) aging populations.
Feeding Practice and Nutrition status of Under-five Year's Children in Dalit Community in Darchula
Authors: Joshi Ohmprakash , Bist Suraj Kumar 
Published: February 2025

This study aims to find out the feeding practices of under-five-year-old children, and to find out the relationship between socio-economic condition and nutritional status of less than five-year-old children in the study area. The study was conducted in Shailyshikhar Municipality-07 with the sample 98 mothers and 115 children as sample selected purposively using using census method. The study reveals that most of the mothers were found unaware of how to feed, what to feed and when to feed with the appropriate skill of preparing colostrum feeding, frequency of feeding and bottle feeding. The frequency of feeding babies and nutritional food practices were found poor. Furthermore, the study showed that 28.89 per cent of boys were not gaining proper weight for their age properly, 22.22 per cent were not gaining proper weight as per their height; 22.64 per cent of girls had low weight as per their and 33.96 per cent of girls had low weight as their age. This study found that there was no proper feeding practice for children under five years old due to the lack of knowledge awareness and of the occupational composition of mothers. The nutritional status of the children depends on various factors such as breastfeeding, colostrum feeding, and duration of appropriate feeding, knowledge of the mother, proper feeding economic and social status and so on.
Contextual Education and Curriculum for Local Resource Utilization
Authors: Shahi Bhakta Bahadur , Parajuli Tirtha Raj 
Published: February 2025

To rationalize the need of locally formulated curricula and its implementation aspect is the main concern of this study. It was conducted in Chandragiri municipality of Kathmandu valley. Study had examined locally accessible resources at municipal areas by exploring link between local curriculum policies and school practices, it seeks to externalize indigenous knowledge, skills and resources to face the real-life situations. Lack of traditional knowledge and skills in formal school curriculum and draws attention to a notable disconnect between existing curricula, the particular context, community needs and the rationale of local curriculum. To implement purposive sampling phenomenological design was linked up. As primary data source four community schools were sampled. Data were collected through face-to face interview with head teachers, subject teachers of the sampled area of that municipality. The result is the necessity to incorporate contextual resources into education system by exposing a disconnect between formal education and the community needs. The study draw conclusion that in order to preserve indigenous knowledge, skills, resources and promote community independent development, school curricula need to be interlinked with contextually available resources to fulfill the gap between the day-to-day needs of community people and prepare for real life situation for the future.
Повышение семенной всхожести аллохрузы качимовидной (Allochrusa gypsophiloides) методом криоконсервации
Authors: Мурсалиева В.К. , Иманбаева А.А. 
Published: February 2025

Представлены результаты оценки лабораторной всхожести семян аллохрузы качимовидной (Allochrusa gypsophiloides) в зависимости от условий их хранения в комбинации с обработкой гибберелловой кислотой. Выявлено, что контрольные семена характеризуются длительным периодом дозревания и скачкообразным характером прорастания в ходе хранения в обычных комнатных условиях. Установлено, что криоконсервация ускоряет дозревание семян, способствует синхронизации процесса прорастания и более дружному появлению всходов за более короткий период. При этом отмечается динамика всхожести депонированных семян без резких колебаний, и энергия прорастания сохраняется на одном уровне в течение всего срока хранения. Стимулирующий эффект гибберелловой кислоты на прорастание контрольных семян зависит от сроков хранения, и максимальный эффект(300 % к воде) отмечается на 7-й месяц, который к концу срока понижается до 215 %. Депонированные семена методом криоконсервации на протяжении всего срока хранения реагируют на индуцирующее действие ГК с максимальным показателем всхожести семян 246 % к концу срока хранения. На основании проведенных исследований авторами предложен способ, включающий этап криоконсервации и последующую предпосевную обработку семян ГК, который позволяет повысить семенную всхожесть ТМК и сохранить гермоплазму эндемичного вида без потери продуктивности семян.
Дəрілік мия түрлері тұқымдарының биологиялық өсу ерекшеліктері
Authors: Мусрат А. , Ерекеева С.Ж. , Арысбаева Р.Б. 
Published: February 2025

GlycyrrhizaL. туысының дəрілік түрлерін(Glycyrhiza glabraL., Glycyrrhiza uralensis Fisch.) тұқымынан өсіріп көбейтуді зерттеу мақсатында Оңтүстік Балхаштың Іле өзені маңынан əртүрлі бұталы, көпжылдық шөптесін өсімдіктер ассоциясынан жиналған тұқымдардың биометриялық көрсеткіштері өлшенді. Гетероауксиннің зертханалық тұқым өнгіштігіне əсері жəне қолайлы температурасы анықталды. Алынған мəліметтерге негізделе отырып, гетероауксиннің 15 % концентрациясы мен30–33 ºC температура тұқым өнгіштігіне ең қолайлы болатындығы, сондай-ақ бұл түрлердің тұқымдарының өнуіне бір ай уақыт жеткілікті екендігі анықталды.
Mechanical properties of biocomposite from polylactic acid and natural fiber and its application: A Review study
Authors: Asrofi Mochamad , Pradiza Revvan Rifada , Yusuf Muhammad , Dominic C. D. Midhun , Ilyas R. A. 
Published: February 2025

In the past decade, the development of biocomposite materials has attracted much attention due to the growing concerns about petroleum-based natural resource depletion and pollution. Among the various biocomposite materials, polylactic acid (PLA) is one of the most widely produced and ideal for use in commercial products. The manufacture of PLA biocomposites with natural fiber reinforcement as an alternative material that replaces synthetic materials is widely researched. The different types of natural fiber sources used in the incorporation of matrix and fibers are very important as they affect the mechanical properties of the biocomposites. In addition, PLA-based biocomposites can be produced by a wide variety of methods that can be found in various commercializations. This study aims to present the recent developments and studies carried out on the development of PLA-based natural fiber biocomposites over the past few years. This study discusses PLA biocomposite research related to their potential, mechanical properties, some manufacturing processes, applications, challenges, and prospects.