bluuebunny/crossref_metadata_2025_split huggingface dataset:
SARIMAX–GARCH Model to Forecast Composite Index with Inflation Rate and Exchange Rate Factors
Authors: Mardianto M. Fariz Fadillah , Pusporani Elly , Ulya Diana , Putra I Kadek Pasek Kusuma Adi , Ramadhan Rico 
Published: October 2024

Investors should consider the Indonesia Composite Index (ICI) as a key indicator before making investment decisions, as it reflects the performance of industries and the broader economic growth. In Indonesia, the ICI exhibits fluctuating movements, making accurate forecasting essential for understanding the country's economic conditions, which are closely tied to capital flows, growth, and tax revenues. This study aims to forecast the ICI using the SARIMAX-GARCH model, incorporating macroeconomic factors such as the inflation rate and exchange rate. The findings reveal that both variables significantly impact the ICI, with the model achieving a Mean Absolute Percentage Error (MAPE) of 0.952% for training data and 5.233% for test data. The model's performance is supported by an R² value of 0.9782 and a Mean Squared Error (MSE) of 0.0003. This research not only improves the accuracy of ICI forecasts but also supports Indonesia's 8th Sustainable Development Goal (SDG) for decent work and economic growth. Doi: 10.28991/HIJ-2024-05-03-014 Full Text: PDF
Improving the Air Quality Monitoring Framework Using Artificial Intelligence for Environmentally Conscious Development
Authors: Manongga Danny , Rahardja Untung , Sembiring Irwan , Aini Qurotul , Wahab Abdul 
Published: October 2024

This study aims to significantly improve air quality monitoring through the innovative application of Artificial Intelligence (AI). Introducing the Artificial Intelligence Kualitas Udara (AIKU) model, this research offers a novel approach by integrating advanced machine learning algorithms with environmental sensors to predict air quality in real-time more accurately than traditional methods. The novelty of the AIKU model lies in its sophisticated data analytics framework, which processes high-frequency environmental data to assess air quality changes dynamically. The technique employs calibrating and deploying the AIKU model across various urban and suburban settings and analyzing its performance against conventional monitoring systems such as the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). The results demonstrate that AIKU significantly outperforms these traditional systems in both accuracy and speed of response, highlighting its effectiveness in real-time environmental monitoring. Furthermore, the AIKU model's scalability and adaptability are tested, showing promising potential for application in densely populated urban areas and less populated rural settings. This research contributes to environmental monitoring by demonstrating how AI can transform traditional methodologies into more effective, scalable, and intelligent ecological management systems. This research provides substantial evidence that the AIKU model can serve as a powerful tool for sustainable and smart development worldwide, enhancing the ability of governments and organizations to respond to environmental challenges promptly and effectively. Doi: 10.28991/HIJ-2024-05-03-017 Full Text: PDF
Learner Assessment System in e-Learning with OBE Approach: Activity Performance, Ability Level and Recommendation
Authors: Yuniarti Wenty D. , Hartati Sri , Priyanta Sigit , Surjono Herman D. 
Published: October 2024

E-learning can lead learners to achieve learning outcomes if it is designed based on several principles. One is applying assessments that motivate and inform ability levels. In Outcome-based Education (OBE), assessment is integral to the system. However, e-learning has limitations in providing assessment instruments according to needs, such as assessing complex and detailed aspects and accommodating a variety of numerical and linguistic assessment data. Moreover, the presence and involvement of learners affect their performance and learning outcomes. This study proposes a learner assessment system in e-learning with the OBE approach, including learning design, activity performance analysis, ability level determination, and recommendations. This system adds the e-rubric to e-learning to overcome instrument limitations and accommodate comprehensive assessments. Various numerical and linguistic assessment data are unified using 2-tuple fuzzy linguistics, producing ability levels as two tuples. Performance analysis was based on event log data using descriptive statistical technique and alignment-based conformance checking, from frequency, time, and sequence of activity objects, resulting in five activity performance variables. The performance value of each variable is converted into High, Medium, or Low levels. The ability and performance levels are processed using rule-based methods to produce recommendations for learning stages and activity performance directions. The results of this research can be used as input for academic stakeholders and online learning providers and potentially be applied to the advancement of e-learning in higher education. Doi: 10.28991/HIJ-2024-05-03-03 Full Text: PDF
Early Identification of Skin Cancer Using Region Growing Technique and a Deep Learning Algorithm
Authors: Irianto Suhendro Y. , Yunandar Ryan , Hasibuan M. S. , Dewi Deshinta Arrova , Pitsachart Nualyai 
Published: October 2024

Skin cancer, comprising both melanoma and non-melanoma forms, is a significant public health concern, constituting approximately 5.9% to 7.8% of annual cancer diagnoses. In Indonesia, the predominant form of the disease is basal cell carcinoma (65.5%), followed by squamous cell carcinoma (23%), and malignant melanoma (7.9%). Several studies have shown that early detection of its melanoma form is essential due to the heightened mortality risk. Therefore, this study aimed to assess the efficacy of the Region Growing + LSTM algorithm in improving detection accuracy compared to LSTM. The novelty of the study lay in addressing the inefficiencies of manual dermoscopy image examination and introducing a novel combination of Region Growing segmentation and Deep Learning LSTM for enhanced detection precision. The results showed that the proposed model could identify segmented areas before classification and achieved 96.62% accuracy, outperforming LSTM's 84%. However, LSTM exhibited shorter training and prediction times (39.3 seconds and 3.2 seconds, respectively) compared to Region Growing + LSTM (17 minutes and 2 seconds for training, 3 minutes and 49 seconds for prediction). Although Region Growing + LSTM offered superior accuracy, it required more time than LSTM, showing potential trade-offs between accuracy and efficiency in skin cancer image detection. Doi: 10.28991/HIJ-2024-05-03-07 Full Text: PDF
Permissible Extrapolation Justification of the Multiplicative Multifactorial Model and Its Application to the White Soot Production Technology
Authors: Karimova Lyutsiya , Makasheva Guldana , Malyshev Vitaliy , Kharchenko Yelena , Kairalapov Yerlan 
Published: October 2024

The solution to a specific technological problem is combined with the methodological development of a nonlinear multifactorial relationship to justify the boundaries of its extrapolation beyond the experimental range used. White soot was produced through two-stage carbonization of a silicate solution (composition, g/l: Na2O = 126.5, SiO2 = 107.7, Al2O3 = 3.1), obtained after processing waste tailings with carbon dioxide in a recirculation system. The influence of the deposition duration, temperature, and final pH value of the pulp on the formation of the specific surface area (Ssp, m2/g) of white soot was studied. The specific surface area was calculated from the average diameter of the white soot particles measured using an electron microscope. A multifactorial experiment was designed, and the experimental results were processed using a probabilistic deterministic method for experiment design (PDED) to obtain a nonlinear multiplicative combined model. A new interpretation of the subordination of the nonlinear multiple correlation coefficient R and the R2 value was given as relating to the structural and adaptive components of complex self-organizing systems. This determines their use for assessing the ratio of the basic R and extrapolated R2ranges of variation for each factor and any combinations thereof and multifactorial dependence in general. The results are presented in the form of multifactor tabular nomograms measured by the number of multifactor cells in localized areas of optimal sets that allow isolation by one or another combination of factors. The technological object of extrapolation of the ‘white soot’ production is linked to the solution of emerging methodological problems and illustrates the accessibility of the engineering application of the proposed method for combining nonlinear and linear approaches to mathematical experimental design. Doi: 10.28991/HIJ-2024-05-03-08 Full Text: PDF
Importancia de la reclasificación de la significancia clínica de variantes nuevas intrónicas, relacionadas con epidermólisis ampollosa distrófica recesiva: reporte de caso
Authors: Gonzalez Saldarriaga Isabella , Moreno-Giraldo Lina Johanna , Satizábal Soto José María 
Published: October 2024

Introducción: La epidermólisis ampollosa distrófica es uno de los tipos de epidermólisis ampollosa, un grupo heterogéneo de genodermatosis caracterizadas por presentar fragilidad mucocutánea y formación de ampollas ante un traumatismo mínimo, secundarias a variantes en genes que codifican proteínas para la adhesión dermoepidérmica.
Caso clínico: paciente masculino de 9 años, con diagnóstico de epidermólisis ampollosa desde el primer mes de vida, asociada a estenosis esofágica desde los 7 años. Ante la importancia de un diagnóstico específico por la gran heterogeneidad fenotípica y genotípica de las epidermólisis ampollosas, se solicitó estudio genético secuenciación de próxima generación panel de genes relacionados con epidermólisis ampollosa. Se encontró la variante c.4635+5G>A en homocigosis para el gen COL7A1, reportada como de significado clínico incierto en ClinVar y Franklin by genoox, en asociación con epidermólisis ampollosa distrófica, con un patrón de herencia autosómico recesivo. Teniendo en cuenta las recomendaciones del Colegio Americano de Genética Médica y Genómica, Asociación de patología Molecular y ClinGen se realizó re análisis de la significancia clínica de la variante encontrándose con cambio de ella a significancia probablemente patogénica a través del uso de software de predicción in sílico, análisis funcionales y moleculares.
Discusión y conclusiones: Dada la gran variabilidad y superposición de manifestaciones clínicas, es necesario realizar un diagnóstico a través de estudios genéticos para una adecuada correlación genotipo-fenotipo. Esto permitirá un diagnóstico específico que facilite establecer tratamientos dirigidos, un adecuado seguimiento y un pronóstico más certero, en aras de una medicina personalizada, predictiva, de precisión, preventiva, participativa y poblacional.
PENGEMBANGAN USAHA PENJAHIT RUMAHAN DI DESA BACEM KABUPATEN BLITAR MELALUI MANAJEMEN PRODUKSI, KEUANGAN DAN PEMASARAN
Authors: Ayuswantana Alfian Chandra , Suprianti Lilik , Perwitasari Rida , Pradhani Fastha Aulia 
Published: October 2024

Usaha Mikro, Kecil dan Menengah (UMKM) berperan penting dalam pembangunan ekonomi di Indonesia melalui penyediaan lapangan kerja dan kontribusinya pada pertumbuhan masyarakat. Namun, banyak UMKM yang kurang berkembang karena menghadapi keterbatasan modal, ketrampilan dan kurangnya dukungan. Kegiatan pengabdian kepada masyarakat (Abdimas) ini dilakukan dengan mitra Hani Jahit, sebuah UMKM penjahit rumahan berskala kecil di desa Bacem, Kabupaten Blitar. Hani Jahit memiliki keterbatasan modal usaha dimana mesin jahit yang digunakan sudah kurang layak pakai. Tata letak area produksi tidak terorganisir, tidak ada manajemen dalam menjalankan usaha serta tidak ada pembukuan pendapatan dan pengeluaran. Keterbatasan ini membuat Hani Jahit sulit berkembang dan stagnan. Tujuan utama dari kegiatan abdimas ini adalah untuk meningkatkan produktivitas mitra agar dapat bertumbuh dan berkembang. Metode kegiatan yang dilakukan meliputi survei dan pendekatan kepada mitra, pelatihan dan pendampingan dalam aspek manajemen produksi, keuangan, dan pemasaran. Tim abdimas juga memberikan bantuan berupa mesin jahit baru dengan spesifikasi lebih tinggi dari sebelumnya, penataan ulang area produksi dan pemasangan papan nama usaha. Melalui kegiatan pengabdian ini, Hani Jahit berhasil meningkatkan produktivitasnya sebanyak dua kali lipat dari sebelumnya. Hal ini menunjukkan bahwa intervensi yang dilakukan oleh tim pengabdian telah memberikan dampak positif bagi perkembangan usaha Hani Jahit.
PROGRAM PENDAMPINGAN: DETEKSI TUMBUH KEMBANG, GAYA BELAJAR, DAN POLA ASUH ORANGTUA
Authors: Marsidi Sitti Rahmah , Dewanti Lintang Purwara , Harlianty Rully Afrita 
Published: October 2024

Periode prasekolah merupakan periode optimal bagi anak untuk menunjukkan minat dan perkembangan mereka dalam bahasa, interaksi sosial, maupun eksplorasi lingkungan. Pentingnya mengenali perkembangan dan pertumbuhan anak untuk optimalisasi potensi, karakter, dan tumbuh kembangnya. Pengabdian kepada masyarakat ini dilakukan untuk memfasilitasi pihak sekolah dan orangtua agar lebih mengenali kondisi murid dan anak mereka. Kegiatan ini juga sebagai tindakan preventif masalah perkembangan dan pertumbuhan anak. Metode kegiatan ini berupa program pendampingan yaitu asesmen dan edukasi tentang tumbuh kembang anak, gaya belajar anak, dan pola asuh orangtua, konsultasi, serta pemberian panduan deteksi tumbuh kembang dan psikologis anak kepada sekolah. Kegiatan dilakukan pada tanggal 11 Mei, 6 Juli, 13 Juli, dan 30 Juli 2024. Hasil pengukuran didapatkan bahwa anak paling banyak memiliki kategori inteligensi rata-rata (63,64%), pengukuran perkembangan dan pertumbuhan anak paling banyak pada kategori normal yaitu sebanyak 21 anak (63,64%), status gizi terbanyak yaitu status gizi normal sebanyak 26 anak (78,79%), serta gaya belajar visual yang paling banyak dimiliki murid yaitu 17 anak (51,52%). Semua tipe pola asuh orangtua adalah demokratis. Terkait efektivitas edukasi menunjukkan bahwa tidak terdapat perbedaan hasil yang signifikan (t= -0,977; p= >0,05). Artinya, pemberian edukasi tidak memberikan pengaruh terhadap pengetahuan orangtua terkait perkembangan fisik, perkembangan psikologis, dan pola asuh. Kesimpulan dari kegiatan pendampingan ini mampu memfasilitasi pihak sekolah dan orangtua untuk mengenali kondisi murid dan anak. Namun, terkait tujuan pendampingan secara proses pendampingan dapat dinyatakan belum berhasil dikarenakan beberapa faktor kelemahan dalam kegiatan ini seperti banyak peserta edukasi tidak hadir, dan data asesmen ada yang tidak teridentifikasi.

Kata kunci: tumbuh kembang, gaya belajar, pola asuh
INOVASI PRODUK OLAHAN MAKANAN BERBAHAN BAWANG MERAH DALAM MENDUKUNG EKONOMI KREATIF DI KECAMATAN TOROH GROBOGAN
Authors: Astuti Dwi Puji Astuti , Kardiyem Kardiyem , Setiyani Rediana , Aulia Prima Kharismaputra  , Astuti Abdul Khafidz 
Published: October 2024

Bawang merah merupakan manisvestasi kearifan lokal yang terdapat di Kabupaten Grobogan. Salah satu sentra penanaman bawang merah terbesar di Kabupaten Grobogan adalah Desa Genengadal. Lemahnya posisi tawar yang rendah akibat over supply yang terjadi pada panen raya menyebabkan anjloknya harga yang diterima petani. Sebagai upaya memberikan solusi terhadap tantangan tersebut maka diperlukan pemberdayaan yang berkelanjuran untuk menciptakan ekonomi kreatif melalui inovasi produk olahan. Tujuan kegiatan ini, yaitu melakukan pelatihan dan pendampingan terkait inovasi pengolahan produk berbahan bawang merah. Selain itu juga melalukan pelatihan dan pendampingan strategi pemasaran produk yang baik. Tahapan yang dilakukan pada pengabdian ini adalah Focus Group Discussion (FGD) bersama kelompok tani, demonstrasi dan praktik membuat aneka olahan dari bawang merah, tutorial dan pendampingan strategi pemasaran yang baik serta monitoring dan evaluasi. Berdasarkan hasil pelatihan yang dilakukan, potensi bawang merah yang semula belum dimanfaatkan secara optimal oleh para petani, saat ini telah mampu dioptimalkan kegunaanya menjadi produk yang bernilai ekonomis tinggi. Hasil olahan bawang merah yang telah dihasilkan adalah rempeyek bawang merah dan pasta bawang merah. Selain itu petani juga sudah belajar strategi pemasaran produk yang baik. Adanya kegiatan ini meningkatkan keterampilan para petani untuk menghasilkan berbagai produk olahan yang bernilai ekonomis tinggi. Selain itu, para petani juga mendapatkan pengetahuan tentang strategi pemasaran prdouk. Hal ini tentu menjadi peluang pasar yang baru juga bagi para petani, saat harga bawang merah anjlok mereka tidak perlu khawatir lagi karena bisa memanfaatkan hasil panen dengan membuat produk olahan yang memiliki nilai ekonomis.
PENERAPAN TEKNOLOGI TEPAT GUNA UNTUK PENINGKATAN KOMODITAS RUMPUT LAUT DI DESA TIROWALI KECAMATAN PONRANG KABUPATEN LUWU
Authors: Sudirman Andi Mangnguntungi , Jumardi Andi , Asia Nur , Damis Damis 
Published: October 2024

Salah satu sektor pertanian yang memiliki komoditas potensial adalah komoditas rumput laut. Rumput laut adalah tanaman yang tergolong dalam makroalga benthik yang umumnya hidup pada perairan payauh atau menggunakan bidang pesisir laut. Desa Tirowali Kecamatan Ponrang Kabupaten Luwu merupakan daerah pesisir yang membudidayakan rumput laut jenis Eucheuma cottonii. Namun, petani rumput laut sering mengalami kerugian karena disebabkan beberapa faktor diantaranya kualitas air dan gangguan hama, keterbatasan pengetahuan mitra dalam pemanfaatan teknologi seperti mengukur kualitas air berupa kadar garam air yang tidak stabil pada lahan budidaya akibat sedang musim hujan, keterampilan mitra dalam penanganan rumput laut pasca panen masih menggunakan tanah sebagai media untuk mengeringkan hasil panen hal ini menyebabkan kualitas rumput laut kering kurang baik serta beberapa hasil panen cendrung membusuk karena bersentuhan langsung dengan tanah. selain itu, waktu yang dibutuhkan untuk mengeringkan rumput laut membutuhkan 2-3 hari. Secara tidak langsung mempengaruhi harga pasaran. Solusi dari permasalahan ini yaitu dengan memberikan pelatihan dan pendampingan budidaya rumput laut, proses panen dengan umur ideal dan cara penanganan rumput laut yang terkena serangan hama penyakit. Selanjutnya, memberikan pelatihan dan pendampingan dengan memanfaatkan teknologi tepat guna seperti alat ukur pendeteksi suhu air Fluval Sea Hydrometer Salt Water untuk meningkatkan pertumbuhan dan kualitas produksi rumput laut, memberikan pelatihan pemanfaatan teknolgi alat pengering rumput laut Rotary Dryer pasca panen khususnya untuk membantu petani jika cuaca mendung atau hujan. Serta memberikan pelatihan terkait strategi pemasaran berbasis digital marketing untuk memasarkan produk secara luas baik dengan metode online maupun offline.
A novel device for conservation of supplemental oxygen: A randomized, crossover study of the efficiency and non-inferiority of the OXFO System
Authors: Wawrzyniak Kelly M , Hooker Giles , Osorno Upegui Susana Cristina , Ortega Martínez Rommer Alex , Bazoberry Adriana , DiBenedetto David J , Young Brent H , Bazoberry Carlos F 
Published: October 2024

Background Oxygen is critical to the prevention of hypoxemia-induced morbidity and mortality; yet, access remains inadequate in most low- and middle-income countries despite billions of dollars spent over decades to increase supply. We present a new method for supplemental oxygen delivery whereby the OXFO System (OXFO Corporation, Boston, MA, USA) converts pressurized oxygen to ambient pressure for patient inhalation on demand at a fixed concentration across fluctuations in respiratory rate or tidal volume. This study’s primary aims were to examine the oxygen volume savings and test the non-inferiority of mean peripheral oxygen saturation (SpO2) with the OXFO System (OXFO Condition) compared to conventional continuous flow (Standard Condition) in a clinical population of oxygen-dependent hospitalized adults. Methods We conducted a non-inferiority, single-visit, randomized, crossover design. A total of 20 subjects were randomized to receive either OXFO Condition or Standard Condition first. Subjects were administered oxygen for 20 minutes during each condition after oxygen was titrated to target therapeutic SpO2. A one-sample t-test was performed to compare the mean ratio of oxygen volume dispensed (OXFO Condition/Standard Condition) with 100%. A paired t-test for non-inferiority was used to test the hypothesis that the mean SpO2 for OXFO Condition is no worse than 2.8% lower (absolute difference) than the mean SpO2 for Standard Condition. Results Nineteen subjects were included in the analyses. When considering the dispensing of oxygen as a ratio (OXFO Condition / Standard Condition) for each subject, the mean was 7.7% (standard deviation(SD)=5.4%; range=0-20%) and this was significantly different from 100% (P<0.001). The savings ratio was not significantly correlated with Standard Condition rate of flow (P=0.23). Mean SpO2 for OXFO Condition was 91.07% (SD=2.20%) and 91.35% (SD=1.62%) for Standard Condition and the difference was significantly above the non-inferiority margin of -2.80% (P<0.001). Conclusions The OXFO System saves a significant volume of oxygen while achieving non-inferior mean saturation for hospitalized oxygen-dependent patients. The OXFO System appears to maintain robust volume savings of nearly 13x across doses up to 6 liters per minute (L/min). This has significant implications for advancing equitable access to oxygen.
MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH
Authors: Nitasari Alfi Nur , Sa'idah Andini , Faizun Nurin , Darmawan Kezia Eunike , Fitri Marfa Audilla , Chamidah Nur 
Published: October 2024

Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims. Since November 16th, 2023, 8 hamlets in Meranti Village, Landak District, West Sumatra have been inundated by floods which affected families and many public facilities. This research uses data from West Sumatra Province Central Statistics Agency. The data used is 2014, 2018 and 2021. The response variable used is the number of villages/sub-districts experiencing natural disasters according to district/city ( ). The predictor variables used are regional topography , the number of water channels such as rivers, reservoirs, etc. , the number of fields cleared through burning , the number of villages/sub-districts in C excavation area , and the number of dumpsters . This research uses Negative Binomial Regression with the Generalized Estimating Equation (GEE) approach. In the Poisson regression test, the QIC value based on Independent Working Correlation Structure (WCS) is with deviance value of , degree of freedom of , and dispersion score of 4,6144. Because the dispersion value is greater than 1, it can be concluded that there is overdispersion. Because there is more than one overdispersion, it is overcome by using negative binomial. The results of parameter estimation using negative binomial regression based on Independent WCS showed that only one variable was significant, which is the number of fields cleared through burning with deviance value of , degrees of freedom of and a QIC of . Negative Binomial regression model that was formed is ). From the two regression models used, namely Poisson and negative binomial, it was found that the negative binomial regression model was the best model because it had the lowest QIC value of .