bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penerapan Data Mining pada Model Clustering Data Kuesioner Mahasiswa terhadap Kinerja Dosen
Authors: Sholeh Muhammad , Suraya Suraya , Andayati Dina 
Published: August 2024

Setiap akhir semester hampir semua perguruan tinggi memberikan kuesioner yang wajib diisi oleh mahasiswa. Salah satu parameter yang dievaluasi adalah evaluasi untuk mengukur kinerja dosen. Pertanyaan yang harus dijawab mahasiswa diantaranya keaktifan dosen dalam mengajar, penyampaian materi dan lainnya . Hasil kuesioner dilakukan proses pengolahan dan hasil akhirnya adalah indeks prestasi kinerja dosen. Dalam penelitian ini, dilakukan proses data mining pada datasheet hasil kuesioner. Model data mining akan dilakukan dengan model clustering. Tujuan dari penelitian adalah membuat model Clustering untuk menghasilkan kinerja dosen berdasar pada pengelompokan dengan menggunakan datasheet hasil kuesioner. Hasil pengelompokkan dilakukan dengan melakukan pengujian dengan membuat pengelompokan dari 2-4 kelompok. Metode yang digunakan adalah metode CRISP DM yang terdiri dari business understanding, Data understanding, data preparation, model, evaluasi dan develop. Proses klastering menggunakan aplikasi Rapid miner. Data hasil kuesioner yang sudah dilakukan disimpan dalam bentuk datasheet. Datasheet terdiri dari 118 record dan 12 atribut. Proses pengelompokkan diolah dengan menggunakan model clustering dengan menggunakan algoritma K-Mean. Hasil penelitian adalah proses pengolahan pada datasheet yang dibuat model klasterisasi dengan nilai centroid (k) mulai dari 2 sampai 6. Evaluasi dilakukan dengan menguji performance masing-masing hasil nilai k. Evaluasi dengan menggunakan Davies Bouldin dan hasil klasterisasi dengan nilai k=3 merupakan hasil yang paling kecil yaitu -0.737, sehingga klasterisasi dengan K=3 direkomendasikan menjadi suatu model.
Deteksi Tumor Otak Dengan Metode Convolutional Neural Network
Authors: Dwi Bernadetta Sri Endah , Setiadi De Rosal Ignatius Moses 
Published: August 2024

Tumor otak merupakan salah satu penyakit mematikan di dunia. Menurut data Global Cancer Observatory, kasus tumor otak di Indonesia pada tahun 2021 mencapai 5.964 kasus serta tingkat kematian berada pada posisi 12 dengan 5298 kasus. Diagnosa cepat dan lebih dini tentu akan mampu menekan tingkat kematian tumor otak. Penelitian ini mengusulkan metode Convolutional Neural Network (CNN) untuk deteksi otak berdasarkan pencitraan medis. Model CNN didesain secara khusus terdiri dari 14 layer. Berdasarkan hasil pengujian model CNN yang dihasilkan memiliki akurasi tinggi yaitu 99%. Selain itu berdasarkan hasil komparasi dengan dataset yang sama, model yang diusulkan 5% lebih unggul dari metode sebelumnya yang menggunakan pre-trained model MobileNetV2.
Optimalisasi Klasifikasi Objek Melalui Integrasi Metode Ensemble dan Teknik Ekstraksi Fitur Deteksi Tepi
Authors: Rudolf Huizen Laurentius Andre Cornelis 
Published: August 2024

Peningkatan volume lalu lintas dan kepadatan kendaraan di perkotaan menimbulkan tantangan besar dalam menjaga kelancaran dan efisiensi sistem transportasi. Identifikasi objek yang akurat untuk pengelolaan lalu lintas yang efektif. Penelitian ini mengombinasikan metode ensemble dalam klasifikasi objek dengan menggunakan teknik ekstraksi fitur deteksi tepi dan histogram. Tujuan dari penelitian ini adalah untuk meningkatkan akurasi dan efisiensi dalam deteksi objek. Teknik ekstraksi fitur deteksi tepi digunakan untuk mengidentifikasi karakteristik penting dari objek yang dapat memfasilitasi proses klasifikasi. Fitur histogram untuk mengekstrak informasi dari distribusi intensitas piksel dalam citra, yang memberikan gambaran mengenai kontras, kecerahan, dan distribusi warna dalam citra. Hasil eksperimen menunjukkan bahwa kombinasi metode ensemble dengan ekstraksi berbasis deteksi tepi dan histogram secara signifikan meningkatkan performa klasifikasi dibandingkan dengan penggunaan metode klasifikasi tunggal. Metode kombinasi tanpa penambahan fitur histogram mencapai akurasi 72.78%, presisi 72.37%, recall 72.61%, dan F1-Score 72.45%. Penambahan fitur histogram mencapai peningkatan akurasi, presisi, recall, dan F1-Score yang luar biasa menjadi 99.75%. Hasil penelitian memberikan kontribusi dalam meningkatkan akurasi dan efisiensi sistem pengenalan objek, serta menunjukkan bahwa pendekatan multi-metode yang menggabungkan berbagai jenis fitur dapat memberikan hasil yang lebih akurat dan andal dalam pengenalan objek. Integrasi teknik deteksi tepi dan histogram dengan algoritma ensemble seperti Random Forest terbukti sangat efektif dalam meningkatkan performa model klasifikasi gambar secara keseluruhan.
COMPARISON OF GOTHIC SETTING IN TELEVISION SERIES WEDNESDAY (2022) AND THE CHILLING ADVENTURES OF SABRINA (2018)
Authors: Khairunnisa Syifa Aulia 
Published: August 2024

This research’s objective is to find the comparison of two television series, Wednesday (2022) and The Chilling Adventures of Sabrina (2018) of their setting in Gothic element using the theory of Fred Botting. Based on Botting’s theory, the setting in Gothic fiction was divided into two types, natural sublime and synthetic sublime. This research answered the question of what Gothic’s setting in the television series Wednesday (2022) and The Chilling Adventure of Sabrina (2018) and the comparison between the two television series regarding the Gothic’s setting. This research’s objective requires a deep understanding of the topic, so the qualitative descriptive method is applied in this research. Based on this reseach, it was found that there are nine Gothic setting in Wednesday (2022) and six in The Chilling Adventures of Sabrina (2018). On that note, four similarities and seven differences was also found regarding the Gothic setting between the two television series. Based on the analysis, Wednesday (2022) has more Gothic setting compared to The Chilling Adventures of Sabrina (2018) both in natural and synthetic sublime, with with one more data on natural sublime and four more data on synthetic sublime.
Pembentukan Portofolio Optimal Saham Dengan Menggunakan Model Portofolio Mean-Variance-Skewness-Kurtosis
Authors: Gubu La , Rashif Hilmi Muhamad 
Published: August 2024

This paper presents the development of Markowitz's classic Mean-Variance (MV) portfolio model, namely the Mean-Variance-Skewness-Kurtosis (MVSK) portfolio model. The MVSK portfolio model aims to overcome the fact that most stock returns in the capital market do not follow a normal distribution, and there are skewness and excessive kurtosis. The solution of the MVSK portfolio model is determined using the Newton-Raphson method. To see the advantages of the MVSK model, an empirical study was carried out on a portfolio construction using the four best stocks on the Indonesian Stock Exchange, which are included in the LQ45 index group for February-July 2023. The empirical study shows that for risk aversion the performance of portfolios formed using the MVSK model outperforms portfolios formed using the classical MV model, while for risk aversion the performance of portfolios formed using the classic MV model outperforms portfolios formed using the MVSK model. In addition, it was also found that for risk aversion , the weight and performance of the portfolio formed using the MVSK model were close to the weight and performance of the portfolio formed using the classic MV model.
Keywods: portofolio, return, risk, portfolio performance, MVSK.
Enrique Lafuente Ferrari: 70 años de La fundamentación y los problemas de la historia del arte
Authors: Sihuacollo Luis 
Published: August 2024

Setenta años han transcurrido desde la publicación de La fundamentación y los problemas de la historia del arte de Enrique Lafuente Ferrari. Sin embargo, este texto capital sigue siendo desconocido para muchos historiadores del arte que trabajan en el Perú. Nos proponemos realizar una exposición general del recorrido y la crítica que Lafuente realizó de las diversas tendencias que la historiografía artística ha registrado desde el siglo XVIII, además de la propuesta de método que ensayó, basado en las ideas de Ortega y Gasset, con la que pretendía reformular la historia del arte en Occidente.
Palabras clave: Enrique Lafuente Ferrari, Ortega y Gasset, historia del arte, método de las generaciones, método de la situación histórica, crítica
AbstractSeventy years have passed since the publication of Enrique Lafuente Ferrari’s La fundamentación y los problemas de la historia del arte. However, this significant text is still unknown to many art historians working in Peru. We propose to make a general exposition of Lafuente’s journey and critique the various trends that art historiography has recorded since the eighteenth century. In addition to the proposed method, he tried to reformulate the history of art in the West.
Keywords: Enrique Lafuente Ferrari, Ortega y Gasset, art history, method of generations, historical situation, criticism
Rubber Farmers' Strategies to Face Unstable Market Trends (Case Study of Smallholder Rubber Farmers in North Sumatra)
Authors: Martial Tri , Arief Tirtana Muhammad , Rizki Harahap Ahmad , Urdawi Nasution Fahman 
Published: August 2024

Perkebunan karet rakyat menghadapi pasar yang tidak stabil dan merugikan petani sehingga berdampak buruk dalam keberlanjutan perkebunan masyarakat penghasil karet di Sumatera Utara. Penelitian bertujuan memahami strategi petani menghadapi permasalahan lapangan yang tidak menguntungkan tersebut. Penelitian menggunakan metode deskriftif kuantitatif, untuk memahami permasalahan perkebunan karet rakyat. Analisis yang dilakukan dengan menggunakan metode SWOT terhadap berbagai pengelolaan kebun karet rakyat, serta berbagai variabel ekonomi dan pendapatan. Hasil menunjukkan input mengelola on-farm rendah, namun berorientasi kepada hasil. Tanaman karet berusia rata-rata diatas 20 tahun dengan produktivitas rendah. Luas lahan rata-rata 1,11 ha dengan pendapatan rata-rata 21,3 juta perhektar pertahun. Total skor IFAS 2.66, EFAS 2.38 berarti perkebunan karet rakyat di Sumatera Utara berada pada level menengah dan masih dapat tumbuh dengan mengandalkan sumberdaya lokal. Untuk mendukung perkebunan karet rakyat berkelanjutan dibutuhkan insentif kebijakan yang menjamin ketersediaan sarana dan prasarana produksi, dan kestabilan harga sehingga dapat meningkatkan kuantitas dan kualitas produksi.Kata kunci: Berkelanjutan, Kebijakan, Kelembagaan, Perkebunan Karet Rakyat, SWOT
A,The IMPLEMENTING MULTIPLE INTELLIGENCE TO IMPROVE THE SPEAKING ABILITY OF SMP NEGERI 3 DUAMPANUA
Authors: Mulu Muliani 
Published: August 2024

ABSTRACT
The major problems of this research were how to enhance the students’ speaking ability. Then how to motivate the students to speak in English so this research conducted to find out whether implementing Multiple Intelligence effective to improve the students’ speaking of SMP Negeri 3 Duampanua. A quasi-experimental method was carried out by researcher in this research. The population of SMP Negeri 3 Duampanua. VIII.1 and VIII.2 were taken as sample. The instruments that used in collecting the data were interview test and questionnaire. The result of the research shows the students’ speaking ability of the experimental was better than the control group. It was proved by the data of the students’ mean score on experimental class was higher tha the control group (69.16 ˃ 60.52). Futhermore, implementing multiple intelligence improve the student speaking ability. Besides, the research finding also shows the students interest toward the implementing of this simulation.
Keywords: Multiple intelligence, Students’ interest, Speaking ability

ABSTRAK
Masalah utama dari penelitian ini adalah bagaimana meningkatkan kemampuan berbicara siswa. Lalu bagaimana memotivasi siwa untuk berbicara bahasa Inggris sehingga penelitian ini dilakukan untuk mengetahui apakah penerapan kecerdasan ganda efektif untuk meningkatkan kemampuan berbicara SMP Negeri 3 Duampanua. Metode kuasi eksperimen dilakukan oleh peneliti dalam penelitian ini. Populasi penelitian ini adalah SMP Negeri 3 Duampanua. VIII.I dan VIII.2 diambil sebagai sampel. Instrumen yang digunakan dalam mengumpulkan data adalah tes wawancara dan kuesioner. Hasil penelitian menunjukkan kemampuan berbicara siswa kelas eksperimen lebih baik daripada kelompok kelas kontrol. Itu dibuktikan dengan data skor rat-rata siswa di kelas eksperimen lebih tinggi daripada kelompok kelas kontrol (69.16 ˃ 60.52). selain itu penerapan kecerdasan ganda meningkatkan kemampuan berbicara siswa. Selain itu, temuan penelitian ini juga menunjukkan minat siswa terhadap penerapan simulasi ini. Ini dibuktikan ole data dari kuesioner dimana minat siswa adalah yang dikategorikan sangat setuju.

Kata kunci: kecerdasan ganda, minat siswa, kemampuan berbicara.
Waldbau für städtisches Grün – Synergien zwischen Urban Forestry und Waldmanagement
Authors: Brüllhardt Martin 
Published: August 2024

Abstract
Vorliegender Essay ist eine Auslegeordnung relevanter waldbaulicher Prinzipien für die Bewirtschaftung des städtischen Grüns und ein Plädoyer für die stärkere Integration inhärenter natürlicher Vegetationsdynamik. Ich gehe von etablierten Betrachtungs- und Vorgehensweisen des naturnahen, multifunktionalen und adaptiven Waldbaus aus. Daraus leite ich her, welche Aspekte für die Planung und das Management urbaner Grünräume mit Fokus auf Gehölzpflanzen im Rahmen von Urban Forestry relevant sind. Die Betrachtungen berücksichtigen Aspekte der räumlichen und zeitlichen Planung, des Bodens und Standorts, der Nachhaltigkeit der Baumbestände und deren Ökosystemleistungen. Letzteren kommt in Urban Forestry in Anbetracht zunehmender Urbanisierung und Bodenversiegelung sowie des globalen Wandels eine zentrale Rolle zu. Diese Treiber wirken der Bereitstellung von Ökosystemleistungen direkt entgegen und erschweren deren ununterbrochene Sicherstellung. Lösungsansätze ergeben sich aus etablierten Grundsätzen der Waldpolitik, aus waldbaulichen Planungsgrundsätzen sowie Managementstrategien. Der natürliche Bodenaufbau und seine Funktion als Wasser- und Kohlenstoffspeicher sind konsequent und mit hoher Priorität zu fördern. Voraussetzung dafür ist eine durchgehend mit Gehölzpflanzen durchsetzte Siedlungs- und Agrarlandschaft. Das macht diese nachhaltiger, gesünder und anpassungsfähiger und dient der ökologischen Infrastruktur. Eine Verzahnung von Wald- und Raumplanung ist dabei so unerlässlich wie die Anwendung waldpolitischer und waldbaulicher Grundsätze auf Bäume und Gehölzgruppen ausserhalb des Waldes.
Методи аналізу післяпольотних даних газотурбінного двигуна ТВ3-117В
Authors: Dunai Andrii 
Published: August 2024

The methods of analyzing post-flight data of gas turbine engines are considered, in particular, a typical method of diagnosing parameters reduced to standard atmospheric conditions, the use of a diagnostic regression model, the methods of factor analysis, the method of principal components, and trend analysis according to the r-criterion and S-criterion. The main attention is paid to the methods of factor analysis and trend analysis, which significantly increase the accuracy and reliability of diagnostics of the technical condition of engines. The use of factor analysis methods in combination with trend analysis provides a more accurate identification of long-term trends and relationships between various parameters of engine operation, which contributes to improving the diagnostic and forecasting processes. The advantages of the complex use of factor analysis and trend analysis methods for monitoring and diagnosing the technical condition of TV3-117V gas turbine engines, which increase the reliability, safety, and economic efficiency of their operation, are considered. The main parameters of the TV3-117V engine, which should be selected for trend control, were determined. Neural network technologies and fuzzy logic may be overkill for the analysis of the operational data of gas turbine engines because of the high demands on computing resources. The software developed by JSC "Element" is considered, and it is intended for the evaluation and analysis of post-flight data of aircraft engines and bench test data. It was found that software for the analysis of the operational data of engines needs improvement to reduce the influence of human factors and increase the automation of diagnostic processes. The automation of data analysis and integration of complex diagnostic models can significantly increase the accuracy and reliability of database interpretation. The expediency of using diagnostic models of engines, built either according to the statistical processing data of databases or based on simulation models, is described. It was found that a comparison of the simulation simulation data with engine bench test databases showed a high degree of correspondence between the diagnostic model and the real behavior of the engine. Recommendations for the optimal application of operational data analysis methods to increase the reliability, safety, and economic efficiency of TV3-117V aircraft engines are given.
MAKNA KARYA UMBUL DONGA DALAM PELEPASAN WISUDAWAN FAKULTAS SENI PERTUNJUKAN ISI SURAKARTA PERIODE II 15 OKTOBER 2019
Authors: Wardhani Chrysnanda Kusuma 
Published: August 2024

This research is aimed to describe the form and content of Umbul Donga on the Second Period of Graduation Ceremony of The Performing Arts Faculty in the Indonesian Institute of the Arts, Surakarta which was held on October, 15th 2019. This research was done by employing qualitative methods with descriptive narrative analysis and holistic criticism of dance performance by Sutopo. There were several research steps done to accurately collect the data. Data was collected through various sources of references, interviews, and audio-visual records. Sources of references are employed to understand the concept, notion, and background that are correlated with the essence of this research. Furthermore, those are complemented by employing interviews with people who were involved in the Graduation Ceremony of The Performing Arts Faculty at The Indonesian Institute of Arts that was held on October, 15th 2019. The form analysis was done by using Speech Act Theory by Kreidler. Umbul Donga is constructed of two elements (verbal and nonverbal elements). Those are supported by the Performing Arts Theory by Maryono. The Performing Arts Theory was employed to explain non-verbal components which consist of themes, movements, dancers, expressions, floor patterns, makeups, and music. It was found that based on the verbal and nonverbal analysis, work conception, and audience feedback, Umbul Donga on the Second Period of Graduation Ceremony of The Performing Arts Faculty in the Indonesian Institute of the Arts, Surakarta which was held on October, 15th 2019 can be interpreted as a medium of pray forgiveness, gratitude, and guidance.
Association of genetic variants with autism spectrum disorder in Japanese children revealed by targeted sequencing
Authors: Shiota Yuka , Nishiyama Tomoaki , Yokoyama Shigeru , Yoshimura Yuko , Hasegawa Chiaki , Tanaka Sanae , Iwasaki Sumie , Kikuchi Mitsuru 
Published: August 2024

Introduction:Autism spectrum disorders (ASD) represent a heterogeneous group of neurodevelopmental disorders with strong genetic predispositions. Although an increasing number of genetic variants have been implicated in the pathogenesis of ASD, little is known about the relationship between ASD-associated genetic variants and individual ASD traits. Therefore, we aimed to investigate these relationships.Methods:Here, we report a case-control association study of 32 Japanese children with ASD (mainly with high-functioning autism [HFA]) and 36 with typical development (TD). We explored previously established ASD-associated genes using a next-generation sequencing panel and determined the association between Social Responsiveness Scale (SRS) T-scores and intelligence quotient (IQ) scores.Results:In the genotype-phenotype analyses, 40 variants of five genes (SCN1A, SHANK3, DYRK1A, CADPS, and SCN2A) were associated with ASD/TD phenotypes. In particular, 10 SCN1A variants passed permutation filtering (false discovery rate &lt;0.05). In the quantitative association analyses, 49 variants of 12 genes (CHD8, SCN1A, SLC6A1, KMT5B, CNTNAP2, KCNQ3, SCN2A, ARID1B, SHANK3, DYRK1A, FOXP1, and GRIN2B) and 50 variants of 10 genes (DYRK1A, SCN2A, SLC6A1, ARID1B, CNTNAP2, SHANK3, FOXP1, PTEN, SCN1A, and CHD8) were associated with SRS T- and IQ-scores, respectively.Conclusion:Our data suggest that these identified variants are essential for the genetic architecture of HFA.
The genetic cause of neurodevelopmental disorders in 30 consanguineous families
Authors: Paracha Sohail Aziz , Nawaz Shoaib , Tahir Sarwar Muhammad , Shaheen Asmat , Zaman Gohar , Ahmed Jawad , Shah Fahim , Khwaja Sundus , Jan Abid , Khan Nida , Kamal Mohammad Azhar , Alam Qamre , Abbas Safdar , Farman Saman , Waqas Ahmed , Alkathiri Afnan , Hamadi Abdullah , Santoni Federico , Ullah Naseeb , Khalid Bisma , Antonarakis Stylianos E. , Fakhro Khalid A , Umair Muhammad , Ansar Muhammad 
Published: August 2024

ObjectiveThis study aims to clinically and genetically assess 30 unrelated consanguineous Pakistani families from various ethnic backgrounds, all exhibiting features of neurodevelopmental disorders (NDDs).MethodsWe conducted clinical, genetic, biochemical, and molecular analyses on 30 consanguineous families with NDDs enrolled from various regions of Pakistan. The likely molecular causes of primary microcephaly and NDDs were identified. Detailed clinical investigations and molecular diagnoses were performed using whole exome sequencing (WES) of the proband, followed by Sanger sequencing for validation and segregation in the available family members of the affected families.ResultsWES identified likely disease-causing homozygous variants in 30 unrelated consanguineous families. Six families presented newly described variants in known NDD-related genes: ABAT (c.1439 T &gt; G; p.Phe480Cys) [OMIM613163], SLC12A6 (c.2865_2865insT; p.Glu955Asnfs*5) [OMIM 218000], SHANK3 (c.1305-3_1,305-2delTT; p.Gln29-_Gly305del) [OMIM 606232], BCKDK (c.356_356insC; p.Gly119Alafs*24) [OMIM 614923], DDHD2 (c.2065G &gt; T; p.Asp689Tyr) [OMIM 615033], ERCC2 (c.1255G &gt; A; p.Glu419Lys) [OMIM 610756]. Additionally, 12 families had previously reported disease-causing variants associated with different types of NDDs: ATRX (c.109C &gt; T; p.Arg37*) [OMIM 309580], GPR56 [ADGRG1] (c.1423C &gt; T; p.Arg475*) [OMIM 606854], NAGLU (c.1694G &gt; A; p.Arg565Gln) [OMIM 252920], DOLK (c.3G &gt; A; p.Met1Ile) [OMIM 610768], GPT2 (c.815C &gt; T; p.Ser272Leu) [OMIM 616281], DYNC1I2 (c.607 + 1G &gt; A; p.?) [OMIM 618492], FBXL3 (c.885delT; p.Leu295Phefs25*) [OMIM 606220], LINGO1 (c.869G &gt; A; p.Arg290His) [OMIM 618103], and ASPM (c.3978G &gt; A; Trp1326*, c.9557C &gt; G; p.Ser3186*, c.6994C &gt; T; p.Arg2332*) [OMIM 608716]. All the identified variants showed segregation compatible with autosomal recessive inheritance.ConclusionIn the present study, we observed a high frequency of ASPM variants in the genetic analysis of 30 consanguineous families exhibiting features of NDDs, particularly those associated with autosomal recessive primary microcephaly. These findings contribute to studies on genotype–phenotype correlation, genetic counseling for families, and a deeper understanding of human brain function and development.