bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Gaya Belajar Siswa Sekolah Dasar di Tinjau dari Pembelajaran Berdiferensiasi dalam Kurikulum Merdeka : Literatur Review
Authors: Septiaseh Dwi , Pratama Galih Cahya , Haniah Munnal , Ridhaningtyas Latifa Putri
Published: December 2024

AbstrakKurikulum merdeka menekankan pada pembelajaran yang disesuaikan dengan kebutuhan dan karakteristik siswa. Senada dengan pembelajaran berdiferensiasi yang mengutamakan  kebutuhan siswa dalam proses pembelajaran. Akan tetapi, penelitian yang mengangkat tema  implementasi pembelajaran berdiferensiasi masih sedikit khusunya tingkat sekolah dasar. Dari permasalahan ini, peneliti tertarik untuk melakukan literatur riview  tentang pembelajaran berdiferensiasi pada kurikulum merdeka di sekolah dasar. Penelitian ini memiliki dua tujuan antara lain pertama menguraikan pembelajaran berdiferensiasi. Kedua memaparkan hasil dari penerapan pembelajaran berdiferensiasi dalam kurikulum merdeka. Metode yang digunakan yaitu literatur riview dengan bantuan Google Scholar dan Scopus dengan rentang waktu dari tahun 2021 hingga 2023 dan dengan bantuan kata kunci “pembelajaran berdiferensiasi, kurikulum merdeka dan gaya belajar siswa”  diperoleh 38 artikel. Dari 28 artikel di lakukan analisis sesuai dengan tema dan kajian sehingga diperoleh 5 artikel. Hasil dari kajian literatur riview  yaitu terdapat tiga aspek dalam pembeljaran berdiferensiasi yaitu konten, proses dan produk/proyek dan pembelajaran berdiferensiasi dasar dari tujuan kurikulum merdeka yang menekan pada pembelajaran yang disesuaikan dengan kebutuhan dan karakteristik siswa sehingga dapat menumbuh kembangkan potensi dan hasil belajar siswa.
Implementasi Pembelajaran Berbasis Masalah dalam Meningkatkan Kompetensi Pedagogik Guru Sejarah Kebudayaan Islam
Authors: Hakim M. Luqman , Ulandari Sri , Hidayati Noorazmah
Published: December 2024

Tujuan penelitian ini adalah menganalisis penerapan metode pembelajaran berbasis masalah dalam meningkatkan kompetensi pedagogik guru Sejarah Budaya Islam. Metode penelitian yang digunakan adalah kajian pustaka, yaitu menganalisis artikel dan sumber terbaru yang terkait dengan upaya peningkatan pembelajaran SKI di Madrasah Aliyah. Artikel yang dianalisis sebanyak 30 artikel yang terbit antara tahun 2018-2024. Hasil penelitian menunjukkan bahwa metode pembelajaran berbasis masalah efektif dalam meningkatkan kompetensi pedagogik guru karena memerlukan peran aktif guru sebagai fasilitator pembelajaran yang handal. Pembelajaran berbasis masalah mampu meningkatkan kompetensi pedagogik guru, menjadikan siswa sebagai pusat kegiatan pembelajaran, dan memperkaya proses pembelajaran di madrasah
The Cross-border Insolvency Provision as Ius Contituendum of Bankruptcy Act of Indonesia
Authors: Andrian Andrian , Lie Gunardi
Published: December 2024

The lack of cross-border insolvency regulation in Indonesia is an issue that hasn't been resolved until now. Borderless business patterns that developed continuously resulted in the promulgation of cross-border insolvency regulations becoming increasingly urgent. Even more, Indonesia as a member state of ASEAN must be fully aware that currently there is a process of economic integration in ASEAN as outlined in the ASEAN Economic Community Blueprint. In consequence, harmonious cross-border insolvency regulations are needed. Philippines, Singapore, and Myanmar already had cross-border insolvency regulation through the adoption of the UNCITRAL Model Law on Cross-border Insolvency while Indonesia still stuck to territorialism approach, not only in cross border insolvency proceeding, but also in civil proceedings in general. Indonesia has to synchronize civil code, civil procedural code, international civil code, and bankruptcy code to create legal certainty in bankruptcy law system. Therefore, in this article writing, there are several approaches that will be used, namely the comparative approach and statutory approach, with the research method of normative juridical. The objectives to be achieved in this article are to construct the lack of cross-border insolvency regulation in Indonesia and to describe cross-border insolvency regulation and practices in Philippines, Singapore, and Myanmar. At the end of this article, there is a recommendation to the Indonesian Government to immediately regulate cross-border insolvency in Indonesia, either by adoption of Model Law or by mutual agreement with certain countries.
The Legal Protection on Consumers of E-Commerce Transactions in Indonesia
Authors: Daud Edward Zeth , Suyanto Heru
Published: December 2024

As time progresses, people's lives are starting to be influenced by developments in information technology, including in the field of trade, where buying and selling transactions that can be carried out using the internet are known as electronic commerce or e-commerce for short. However, in its implementation it is necessary to pay attention to consumer protection. The method that will be used in this research is an empirical normative legal approach. The results of this research show that the form of legal protection for consumers in e-commerce transactions has been regulated based on the provisions of statutory regulations which have been contained in Law No. 8 of 1999 concerning Consumer Protection (UUPK), then in purchasing and selling transactions, although carried out online, based on the ITE Law and PP PSTE, it is still recognized as an electronic transaction that can be accounted for through an electronic contract. Legal protection for consumers due to default in electronic transactions is by providing compensation, compensation, and/or services received or utilized that are not in accordance with the agreement. Based on regulations regarding the responsibility of business actors, the actions of business actors must refer to the principles of responsibility in law.
Juridical Implications on the Implementation of Marriages What is not Recorded at the Office of Religious Affairs in the Conception of Legal Certainty
Authors: Gultom Maria Yosephine , Tri Bawono Bambang
Published: December 2024

Sirri marriages, which are often not registered under Indonesian positive law, create legal complexities that have the potential to harm the rights of the individuals involved, especially children. Even though in Islamic teachings, this kind of marriage is considered legal, Indonesia's positive legal perspective views it differently. This gives rise to a number of problems that threaten children's welfare, such as the lack of legal certainty regarding marital status, maintenance rights and inheritance rights. At the national legal level, Law No. 16 of 2019 concerning Amendments to Law No. 1 of 1974 concerning Marriage and regulations related to children's rights, such as Law No. 39 of 1999 concerning Human Rights, emphasize the importance of the protection and welfare of children. This research aims to identify and analyze the legal implications of unregistered marriages on the rights of the individuals involved, especially the rights of children. The focus of the research will be on legal certainty regarding marital status, maintenance rights and inheritance rights for children born from unregistered marriages. This research takes a normative juridical approach to examine positive criminal law regulations related to the criminalization of unregistered marriages, with a focus on the protection of wives and children. Using a legislative approach and a comparative approach, this research compares the legal rules of other countries to fill in legal ambiguities. Primary legal materials based on the 1945 Constitution of the Republic of Indonesia, the Criminal Code, and other related laws. Data collection methods include literature studies, documents and limited interviews to gain a deeper understanding. Data analysis was carried out using qualitative methods to produce a comprehensive understanding of the phenomenon studied. This research aims to contribute ideas and solutions that can be used in the context of positive criminal law regarding unregistered marriages to prevent harm to the family. The absence of marriage registration can also result in children born from the marriage experiencing difficulties in obtaining their legal rights. For example, the right to inheritance or the right to receive social assistance provided by the government. Without official proof in the form of a marriage record, these children may have difficulty proving their familial relationship with their parents. This can lead to injustice and difficulties in obtaining the rights they should get as Indonesian citizens. Thus, marriages that are not registered at the religious affairs office can have serious consequences for legal certainty, protection of individual rights, and family welfare as a whole. overall. Therefore, it is important for every married couple to ensure that their marriage is officially registered at the authorized office in accordance with the legal provisions in force in Indonesia.
An Analysis of The Application of Medical Rehabilitation & Social Rehabilitation for People Convicted of Drug Abuse
Authors: Panjiyoga Indrawienny , Sudiro Ahmad
Published: December 2024

The importance of the implementation of rehabilitation for narcotics users is not merely to replace the sentence period, but rehabilitation is intended for narcotics users to cure them from addiction to be free from their dependence on narcotics. The problems faced in this study are how the rehabilitation arrangements for narcotics users based on Law No. 35 of 2009 concerning Narcotics and how the application of medical rehabilitation and social rehabilitation for convicted narcotics abusers in the case of Decision Number 582/Pid.Susof 2021/PN.Jkt.Brt. The research method used in this writing is normative juridical research. The results show that Law No. 35 of 2009 concerning Narcotics pays special attention to rehabilitation efforts for narcotics users. This is based on the understanding that drug abuse is a health and social problem that requires special handling, not merely a legal problem. Law No. 35 of 2009 has provided a strong legal umbrella for the implementation of rehabilitation for people who use drugs. However, there are still many challenges that must be overcome in order for the rehabilitation program to run effectively. In general, based on Law No. 35 of 2009 on Narcotics, specifically Article 54, every drug addict is required to undergo medical and social rehabilitation. This rehabilitation aims to restore the physical and mental condition of drug users and restore their function in society.
The Criminal Acts of Perpetrators for Threats on the Social Media
Authors: Perwitasari Dinda Tri Novia , Hapsari Ifahda Pratama
Published: December 2024

This study aims to learn more about the criminal provisions applied and identify the nature of the criminal consequences for perpetrators of threats in Indonesia, especially on social media by considering the elements of criminal acts and legal subjects. The writing method uses normative legal techniques. To resolve legal disputes, conceptual and legislative frameworks are used. The novelty of this research lies in the discussion of a broader scope, namely regarding the basis for criminal responsibility of perpetrators of threats and elements of criminal acts for perpetrators of threats in Indonesia. Based on the research concluded It is proven from the results that an act of threat and insult on social media can be subject to the articles regulated by Law No. 19 of 2016 (Articles 29 and 45B) concerning ITE has provided sanctions in accordance with a criminal penalty of no more than four (4) years in prison or a fine of 7,500,000 rupiah (Rp). On the other hand, when it comes to finding out how those who insult or threaten others in Indonesia may face criminal charges, it is not only seen from the elements but it is important to see it from the perspective of the legal subject. So that perpetrators who meet the requirements for criminal responsibility for threats on social media are required to be responsible for their actions before the law.
The Government Liability for Environmental Damage Caused by Mining
Authors: Fadlulloh Muhammad Dito , Wardana Dodi Jaya
Published: December 2024

Indonesia is rich in natural resources that can be utilized for development purposes and generate profits. One of the natural resources that can provide benefits is the mining sector. However, ironically, in addition to generating profits, mining businesses can also cause losses in the form of damage/pollution to the environment around the mine. This type of research is normative research that includes various approaches, research specifications, data collection methods, and data analysis techniques. In this study, a normative approach was used with the aim of analyzing various legal regulations related to mining cases in Indonesia, both those applicable nationally and regionally. The results of the study indicate that mining activities can damage the surrounding environment and deplete natural resources. Conflicts of interest between mining companies, the government, and indigenous peoples are another factor causing social unrest. As a result, adequate government regulations are needed to control mining activities, including operating permit requirements, environmental responsibility, and supervision. To ensure that the community can benefit from mining activities, the government must also focus on regional economic development and education initiatives.
Relative water content and electrolyte leakage of cherry and plum leaves under osmotic stress
Authors:   Federal State Budget Scientific Institution «North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making», Krasnodar, Russia, Mishko A.E. , Kopnina T.A. ,   Federal State Budget Scientific Institution «North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making», Krasnodar, Russia, Karavaeva A.V. ,   Federal State Budget Scientific Institution «North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making», Krasnodar, Russia
Published: December 2024

Absract. One of the modern tasks of breeding today is the search for promising vrieties of fruit crops
characterized by high adaptation and production potential. Studies of perennial woody plants are complicated by a long life cycle of tree and labor intensity of setting up model experiments. This work presents
the results of assessing the physiological state of cherry (Hodosa, Krasnodarskaya sladkaya, Tamaris, Timati) and plum (Milena, Podruga, Jo-jo) vaireties under controlled conditions of osmotic stress simulating
artificial drought. A 15 % solution of sorbitol and a 5 % solution of polyethylene glycol (PEG) were used
as osmotically active compounds. In the selected leaf samples, under and without stress conditions, the
relative water content (RWC) and the level of electrolyte leakage (EL) were determined during the summer
period of 2023-2024 in the hottest summer months – July and August. It was found that the most optimal
variant of the model experiment was short-term using of PEG. Plum varieties were more susceptible to this
stress factor, with maximum EL values about ~65 %. For cherry, the EL values did not exceed 44 %. The
RWC values decreased on average after stress by 8–25 % for cherry plants and by 3–23 % for plums. During
the two years of the study, plum varieties Podruga and Milena had a lower adaptive potential to osmotic
stress, which physiological parameters changing by 1.3–5.3 times. Cherry varieties were characterized by
a smaller difference between the control and stress variants, among them, the Krasnodarskaya sladkaya
variety was more resistant, with the maximum variability of parameters not exceeding 2.5 times. Thus, the
use of the experimental model makes it possible to quickly assess fruit varieties for drought resistance.

Key words: cherry, plum, osmotic stress, relative water content, electrolyte leakage.
Agrobiological evaluation of the Ag Izyum Urozhaynyi grape variety clone in the conditions of southern Dagestan
Authors:   Dagestan breeding experimental station of viticulture and vegetable growing – branch of the Federal State Budget Scientific Institution North Caucasian Federal Scientific Center of «Horticulture, Viticulture, Wine-making», Derbent, Russian Federation, Feyzullaev B.A.
Published: December 2024

Abstract. The article presents the results of studies on the evaluation of agrobiological and morphological
characteristics of the Ag Izyum variety and its clone Ag Izyum Urozhaynyi. The studies were conducted on
the ampelographic collection of the DBESV&VG – branch of the NCFSCHVW. The purpose of the research
was to study the agrobiological and economically valuable traits and properties of the Ag Izyum Urozhaynyi
table grape clone variety for further improvement of its performance in the conditions of the southern coastal
zone of the Republic of Dagestan. The research methodology is generally accepted in viticulture. The object
of the research was fruiting plants of the Ag Izyum variety and its clone Ag Izyum Urozhaynyi. Vineyards
are own-rooted. Planting scheme is 3,0 x 1,5 m. The bushes are formed as a two-sided high-standard cordon.
Based on the research results, it was revealed that, according to their phenological characteristics, the Ag
Izyum Urozhaynyi clone variety and the control variety Ag Izyum belong to mid-late ripening varieties. The
main agrobiological parameters of the clone variety Ag Izyum Urozhaynyi are at the level of or slightly
higher than those of the control variety Ag Izyum. The percentage of opened buds in the clone variety Ag
Izyum Urozhaynyi averaged 80 %, while in the variety Ag Izyum it was 76 %. The yield per bush is 9,96 kg
and 7,4 kg; the yield capacity per 1 ha is 22,2 t/ha and 16,5 t/ha. The clone variety Ag Izyum Urozhaynyi
surpasses the variety Ag Izyum (control) in having a larger bunch (289,8 g versus 243,3 g) and a denser
constitution. The shoot productivity index of the clone Ag-Izyum Urozhaynyi is 25,5 % higher than that of
the control variety Ag Izyum (170,98 g), while that of the control is 136,24 g. The quality indicators (mass
concentration of sugars and titratable acids) are within the permissible conditions – 149 g /100 cm3
and 6,6 g / dm3
. Taking into account the duration of the production period (130-135 days, respectively) and
the sum of active temperatures (2800-2900 °С), the Ag izum variety and the Ag izum urozhaynyi clone
variety belong to the average ripening period. The Ag izum urozhaynyi clone variety is recommended for
fresh consumption and for making compotes.

Keywords: grapes, productivity, variety, variety plot, clone, clonal breeding, productivity index
ἀνθρωπεία, ἀνθρωπίνη (Moer. α 48, Poll. 2.5)
Authors: Andrea Pellettieri
Published: December 2024

This article provides a philological and linguistic commentary on the adjectives ἀνθρωπεία and ἀνθρωπίνη, discussed in the Atticist lexica Moer. α 48, Poll. 2.5.
ἀνοητία, ἀνοησία (Phryn. PS 35.8–9, Poll. 2.227–8, Poll. 3.140, Poll. 4.9, Moer. α 58, Moer. α 69)
Authors: Andrea Pellettieri
Published: December 2024

This article provides a philological and linguistic commentary on the nouns ἀνοητία and ἀνοησία, discussed in the Atticist lexica Phryn. PS 35.8–9, Poll. 2.227–8, Poll. 3.140, Poll. 4.9, Moer. α 58, Moer. α 69.
ἴδιος (Phryn. Ecl. 409)
Authors: Benuzzi Federica
Published: December 2024

This article provides a philological and linguistic commentary on the adjective ἴδιος, discussed in the Atticist lexicon Phryn. Ecl. 409.
ἐρυγγάνω, ἤρυγον, ἐρεύγομαι, ἠρευξάμην (Phryn. PS 73.15‒7, Phryn. Ecl. 42, Moer. ε 50, Philemo [Vindob.] 393.17‒20)
Authors: Batisti Roberto
Published: December 2024

This article provides a philological and linguistic commentary on the verbal forms ἐρυγγάνω, ἤρυγον, ἐρεύγομαι, and ἠρευξάμην, discussed in the Atticist lexica Phryn. PS 73.15‒7, Phryn. Ecl. 42, Moer. ε 50, Philemo [Vindob.] 393.17‒20.
ἀκμήν (Phryn. Ecl. 93, Moer. α 149, Antiatt. α 21)
Authors: Gerbi Giulia
Published: December 2024

This article provides a philological and linguistic commentary on the adverb ἀκμήν, discussed in the Atticist lexica Phryn. Ecl. 93, Moer. α 149, Antiatt. α 21.
κρεμάθρα, κρεμάστρα (Moer. κ 67, [Hdn.] Philet. 158, Phryn. PS 19.8–11)
Authors: Andrea Pellettieri
Published: December 2024

This article provides a philological and linguistic commentary on the forms κρεμάθρα and κρεμάστρα, discussed in the Atticist lexica Moer. κ 67, [Hdn.] Philet. 158, Phryn. PS 19.8–11.
λάγυνος (Moer. λ 9)
Authors: Merisio Elisa Nuria
Published: December 2024

This article provides a philological and linguistic commentary on the noun λάγυνος, discussed in the Atticist lexicon Moer. λ 9.
κράστις, γράστις (Moer. κ 14, Antiatt. γ 13)
Authors: Benuzzi Federica
Published: December 2024

This article provides a philological and linguistic commentary on the forms κράστις and γράστις, discussed in the Atticist lexica Moer. κ 14, Antiatt. γ 13.
μέθυσος, μεθύση, μεθυστικός (Phryn. Ecl. 122, Poll. 6.25–6, Antiatt. μ 1, Moer. μ 13, [Hdn.] Philet. 2)
Authors: Batisti Roberto
Published: December 2024

This article provides a philological and linguistic commentary on the words μέθυσος, μεθύση, and μεθυστικός, discussed in the Atticist lexica Phryn. Ecl. 122, Poll. 6.25–6, Antiatt. μ 1, Moer. μ 13, [Hdn.] Philet. 2.
μονομάχης, μονομάχος (Moer. μ 11)
Authors: Andrea Pellettieri
Published: December 2024

This article provides a philological and linguistic commentary on the compounds μονομάχης and μονομάχος, discussed in the Atticist lexicon Moer. μ 11.
κοχλιάριον, λίστριον (Phryn. Ecl. 292, Phryn. PS 88.4–7, Poll. 6.89, Poll. 10.98)
Authors: Merisio Elisa Nuria
Published: December 2024

This article collects the erudite texts on the nouns κοχλιάριον and λίστριον and the ancient loci classici concerning them.
πανδοχεῖον, πανδοκεῖον (Phryn. Ecl. 275, Poll. 7.16)
Authors: Merisio Elisa Nuria
Published: December 2024

This article collects the erudite texts on the forms πανδοχεῖον and πανδοκεῖον and the ancient loci classici concerning them.
ποταπός, ποδαπός (Phryn. Ecl. 36)
Authors: Batisti Roberto
Published: December 2024

This article provides a philological and linguistic commentary on the forms ποταπός and ποδαπός, discussed in the Atticist lexicon Phryn. Ecl. 36.
“The Malcolm X Stare”: Messages from David Fennario on Where We Should Stand
Authors: Galli Mastrodonato Paola Irene
Published: December 2024

This is a selection of the almost ten-year-long email correspondence Paola Irene Galli Mastrodonati enjoyed with David Fennario, an author on whom she has extensively written and published.
Unheard Voices: The Migrant Workers of Mumbai’s Cotton Mills and Narayan Surve’s Poetic Legacy
Authors: Banga Harjot
Published: December 2024

Migrants play a key role in Mumbai’s dynamics, shaping its identity through cultural fusion. This paper shifts focus from the city’s colonial legacy and Dharavi to overlooked cotton mill workers, mostly migrants from nearby villages. Recruited by ‘jobbers’ and housed in cramped chawls, their lives mirrored subaltern destitution. Narayan Surve, an orphan poet raised by mill workers, captures their struggles in his Marxist poetry, giving voice to the marginalised and highlighting the socio-economic and cultural challenges faced by Mumbai’s migrant labourers.
Fantastic and Marvellous Reality; Witchcraft and Miscellaneous Events
Le commerce des Allongés by Alain Mabanckou
Authors: Paraboschi Francesca
Published: December 2024

The novel Le commerce des Allongés by Alain Mabanckou, launched at la rentrée littéraire in September 2022, is a fulfilment of the novelist’s desire to reconnect with the oral narratives of his childhood: by his own admission, Mabanckou draws on the répertoire by his mother bequeathed to him. The result is a singular work in which the fantastic is grafted onto news and gives way to the magic realism, while exploring workings of black magic rites. My purpose is to study the writer’s use of the supernatural and his manipulation of stereotypes, prejudices and commonplaces associated with Africa. The aim of Mabanckou’s work is to convey a strong, though biased, criticism of the powerful and influent African men who are stifling and corrupting their country’s society, and to plunge Western readers into a fearsome reality that is likely to amuse, shock and outrage them at the same time.
Evaluación de respuesta a glucocorticoides en neumonitis química por humo blanco de pólvora negra, reporte de caso
Authors: Quintero Romero Juan Manuel , Perez Perdomo Ingrid Viviana , Agudelo Rojas Lina María
Published: December 2024

Historically, different types of explosives have been used in mining. Black gunpowder is the most widely used, composed of carbon, sulfur, and potassium nitrate. Knowing that the fumes emitted after an explosion are highly toxic is essential. Chemical pneumonitis due to inhalation of pyrotechnic smoke (black powder) is associated with the different products of its combustion, where potassium compounds are dominant and very toxic. We report the case of a man in his third decade of life who, working as a miner, was exposed to the inhalation of white smoke from black powder for an approximate time of 10 minutes with the subsequent appearance of signs of respiratory difficulty pulmonary involvement that was demonstrated. Through images (x-ray and chest tomography) with bilateral inflammatory lung involvement at the interstitial level secondary to inhaled toxic and after the start of early corticosteroid therapy, in tomographic control, adequate resolution of the interstitial lung involvement is recorded by adequate clinical and respiratory response.
Pelvic Disorders in Patients with Multiple Sclerosis in the Presence of Comorbidity
Authors: Svyrydova Nataliа , Chupryna Gennadii , Sereda Vitaly
Published: December 2024

The prevalence and features of pelvic disorders in patients with multiple sclerosis with comorbidity were investigated. In total, 216 patients with various forms of the disease were examined. Clinical and demographic data, paraclinical characteristics, significance of nervous system dysfunction and disability, degree of pelvic dysfunction, severity of pain, severity of fatigue, severity of depression, severity of cognitive disorders, indicators of quality of life were analyzed.
During the clinical examination, the body mass index, the presence or absence of comorbid diseases and their duration were clinically determined, laboratory, instrumental studies and examinations by other specialists were used (ophthalmologist, therapist, cardiologist, rheumatologist, urologist, dentist).
When conducting a study of patients with multiple sclerosis of the general sample, symptoms associated with a violation of pyramidal functions were registered in 191 patients (88.4%), symptoms caused by a violation of cerebellar functions – in 178 patients (82.4%), symptoms caused by a violation of the functions of the trunk of the brain and cranial nerves – in 161 patients (74.5%), symptoms associated with impaired sensitivity functions – in 169 patients (78.2%), symptoms due to pelvic disorders – in 187 patients (87.0%), symptoms, caused by impaired visual functions – in 116 patients (53.7%), symptoms associated with impaired cerebral (mental) functions – in 184 patients (85.2%).
Pelvic organ dysfunction in patients with multiple sclerosis were most clearly correlated with the duration of the disease, level of disability, female sex, level of fatigue and indicators of quality of life. In the group of patients with multiple sclerosis with comorbid pathology, there is a significant prevalence of symptoms of pelvic organ dysfunction and combined forms of pelvic organ dysfuncion.
Bagging Nearest Neighbor and its Enhancement for Machinery Predictive Maintenance
Authors: Arisani Muhammad Irfan , Muljono Muljono
Published: December 2024

K-nearest Neighbor is a simple algorithm in Machine learning for such a prediction classification task which plays in valuable aspects of understanding big data. However, this algorithm sometimes does a lacking job of classification tasks for many different dataset characteristics. Therefore, this study will adopt enhancement methods to create a better performance of the nearest-neighbor model. Thus, this study focused on nearest neighbor enhancement to do a binary classification task from the extremely unbalanced dataset of a machine failure problem. Firstly, this study will create new features from the machinery dataset through the feature engineering processes and transform the chosen numerical features with standardization steps as the proper scaling. Then, the modified under-sampling method will be given which will reduce the amount of the majority class to 4.75 times that of the minority class. Next is the applied grid-search tuning which will find the right parameter combinations for the nearest-neighbor model being applied. Furthermore, the previous pre-processing steps will be combined with an additional bagging method. Finally, the resulting bagged KNN will present a 0.971 rate of accuracy, 0.555 rate of precision, 0.781 rate of recall, 0.649 rate of f1-score, 0.95 auc of ROC curve, and 0.702 auc of precision-recall curve.
Automatic Vegetable Watering System Using Fuzzy Logic with Integration of Soil Moisture, Rain Sensors, and RTC
Authors: Arginanta Dallarizki , Ashari Wahid Miftahul
Published: December 2024

Conventional vegetable watering often presents challenges, particularly in ensuring that plants receive adequate water without excessive manual intervention. This research proposes a solution in the form of an automatic watering system using fuzzy logic, which integrates soil moisture sensors, rain sensors, and an RTC (Real-Time Clock) for scheduling. The system is designed to replace manual watering methods with an automated process, thus improving the efficiency and effectiveness of vegetable cultivation. The developed device uses a soil moisture sensor to monitor soil conditions, a rain sensor to detect rainfall, and an RTC to determine the optimal watering times. The Arduino Uno acts as the main controller that activates the water pump via a relay driver based on data received from the sensors. Test results show that the system operates according to the established criteria, with a satisfactory accuracy level. The system successfully waters the plants at 07:00 WIB and 15:00 WIB, based on dry soil conditions and no rain. The trials showed that the device has an average soil moisture measurement error of 5%, and a time discrepancy of about 22 seconds on the RTC module. Each 1% increase in soil moisture requires approximately 1 second of watering duration. Watering times are adjusted to prevent the plants from drying out or dying, with a soil moisture threshold of below 40% set as the condition for requiring watering.
Predicting Startup Success Using Machine Learning Approach
Authors: Ningrum Icha Wahyu Kusuma , Ridho Farid , Wijayanto Arie Wahyu
Published: December 2024

Predicting startup success is important because it helps investors, entrepreneurs, and stakeholders allocate resources more efficiently, minimize risks, and enhance decision-making in an uncertain and competitive environment. Therefore, investors need to predict whether a startup will succeed or fail. Investors conduct this assessment to determine if a startup is worthy of funding. The company's founders mark success here by receiving a sum of money through the Initial Public Offering (IPO) or Merger and Acquisition (M&A) process. If the startup closes, we will consider it a failure. The data used consists of 923 startup companies in the United States. We carried out the classification using four methods: Random Forest, Support Vector Machines (SVM), Gradient Boosting, and K-Nearest Neighbor (KNN). We then compare the results from the four methods with and without feature selection. We determine the feature selection based on the relative importance of each method. The results of this study indicate that the Random Forest method with feature selection has the best accuracy, precision, recall, and F1 score than the other methods, respectively 81.85%, 80.19%, 87.09%, and 83.44%.
Application of MobileNetV2 and SVM Combination for Enhanced Accuracy in Pneumonia Classification
Authors: Meindiawan Eka Putra Agus , Muljono Muljono
Published: December 2024

Pneumonia is a very common respiratory infection in low- and middle-income countries and is still a leading cause of death, especially among children under five years old. Modern technologies, such as machine learning, offer significant potential in improving the automatic detection of pneumonia through chest X-ray (CXR) image analysis. This study aims to develop a more accurate pneumonia diagnosis system by evaluating various feature extraction methods. CXR datasets of pneumonia patients were resized to 180x180 pixels and balanced using the SMOTE-Tomek technique. Three main approaches were investigated: direct classification using Support Vector Machine (SVM) on the SMOTE-Tomek balanced dataset, feature extraction using Sobel edge detection followed by SVM classification, and feature extraction using MobileNet-V2 followed by SVM classification. The results showed that Scheme 1 achieved 97% accuracy, Scheme 2 decreased to 95%, and Scheme 3 achieved the highest accuracy at 98%. The lower accuracy in Scheme 2 is due to the limitations of Sobel edge detection, which reduces the key features in the CXR image. On the other hand, the improvement in Scheme 3 is due to the effective feature extraction capability of MobileNet-V2. In conclusion, the choice of feature extraction method plays an important role in determining the accuracy of an automated diagnostic system. This study builds on existing research and is expected to make a significant contribution to the development of more accurate and efficient automated diagnostic systems, which can ultimately help reduce pneumonia-related mortality.
ROVIGA: Model-Driven Soil Moisture Sensor for Internet-Connected Plant Pot
Authors: Setiawan Iman , Musa Mohammad Dahlan Th. , Nurrahma Andi , Alfina Alfina , Rachman Rohis , Ariza Moh
Published: December 2024

The soil moisture sensor provides numerical measurements to detect changes in soil moisture using an analog voltage output. This research aims to develop a capacitive sensor based on a statistical model to detect soil moisture for plant watering, leveraging the Internet of Things (IoT). The analysis was conducted using polynomial and linear regression models. The modeling process was based on primary gravimetric test results from dried soil. The best model coefficients, selected based on the highest adjusted R-squared value, were used for sensor recalibration. A watering system was then developed using an Arduino and a model-driven capacitive soil moisture sensor integrated into an internet-connected smart plant pot, enabling remote control via a mobile phone. The research findings indicate that the 8th-order polynomial model, with the highest adjusted R-squared value of 0.9583, is the most accurate. The smart watering system using the model-driven capacitive sensor achieved soil moisture prediction outcomes ranging from 0.08 to 1.01 for 150 to 418 sensor data points. The internet-connected smart plant pot allows precise and real-time control, delivering notifications and enabling actions when plants require watering.
A Comparison of Convolutional Neural Network (CNN) and Transfer Learning MobileNetV2 Performance on Spices Images Classification
Authors: Velarati Khoirizqi , Sari Christy Atika , Rachmawanto Eko Hari
Published: December 2024

This research was conducted to analyze the performance of the CNN algorithm without transfer learning in classifying spice images and compare it with the CNN algorithm using transfer learning on the MobileNetV2 architecture. This comparison aims to evaluate both methods' accuracy, efficiency, and overall performance and analyze the impact of transfer learning on classification results in the context of spices. The dataset consists of 1500 spice images divided into 10 classes, with each class of 150 images. In the first experiment, CNN without transfer learning resulted in 93% accuracy performance. For the second experiment using MobileNetV2, there was an increase in accuracy, reaching a value of 99% for all spice classes. The results of this study confirm that MobileNetV2 architecture significantly improves the accuracy and performance of spice classification compared to CNN without transfer learning, which can be recommended for spice image classification.
Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price
Authors: Putra Dhendy Mardiansyah , Abdulloh Ferian Fauzi
Published: December 2024

This study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices. The data used includes features such as price, building area, land area, number of bedrooms, number of bathrooms, and availability of garages. The performance of these algorithms was evaluated using Silhouette Score and Davies-Bouldin Score to determine the quality of cluster separation. The results indicate that K-Means achieved the best performance with the highest Silhouette Score of 0.7702 for two clusters, followed by Fuzzy C-Means, which excelled in handling overlapping clusters. DBSCAN, while effective in detecting outliers, showed suboptimal performance for this housing dataset. These findings suggest that K-Means is the most suitable clustering method for housing data, while Fuzzy C-Means and DBSCAN can serve as alternatives depending on the data characteristics. This research is expected to assist in making the house searching and classification process more efficient and provide additional insights for developers in shaping housing market strategies.
Sentiment Analysis of Indonesian Responses to the Conflict in Palestine Using KNN and SVM Methods
Authors: Fauzi Rizky , Ujianto Erik Iman Heri
Published: December 2024

The prolonged conflict between Palestine and Israel has attracted worldwide attention, including Indonesia, which has a history of strong support for the Palestinian cause. This study aims to analyze the sentiment of Indonesian people towards the Palestinian-Israeli conflict using the K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) methods. The subject of this research is user data X (Twitter) which contains opinions about the conflict. After preprocessing, weighting, and labeling, 2960 tweets were collected and classified into three sentiment categories: positive, negative, and neutral. The KNN+SVM method is applied to classify the sentiment of the processed tweet data. The results showed that of the 2960 data analyzed, 33.8% were labeled positive, 38.9% were labeled negative, and 27.4% were labeled neutral with 82% accuracy, 83% precision, 82% recall, and 82% F1-Score. These results show that the majority of Indonesians tend to be negative in expressing their views on the Palestinian-Israeli conflict. This analysis provides greater insight into sentiment patterns in Indonesian responses to sensitive issues, and contributes to the study of public opinion and social dynamics on social media.
Comparative Study: Flower Classification using Deep Learning, SMOTE and Fine-Tuning
Authors: Praskatama Vincentius , Shidik Guruh Fajar , Ningrum Amanda Prawita
Published: December 2024

Deep learning is a technology that can be used to classify flowers. In this research, flower type classification using the CNN method with several existing CNN architectures will be discussed. The data consists of 4317 images in .jpg format, covering 5 classes that is sunflower, dandelion, daisy, tulip and rose. The distribution of data for each class is daisy with 764 pictures, dandelion with 1052 pictures, rose with 784 pictures, sunflower with 733 pictures, and tulip with 984 pictures. With total dataset of 4317 pictures is further split to training data with ratio of 60%,  validation with ratio of 10%, and testing with ratio of 30% to process with the CNN method and CNN framework. Due to the imbalance data distribution, the SMOTE method is applied to balancing number of samples in each class. This research compares CNN architectures, including CNN, GoogleNet, DenseNet, and MobileNet, where each transfer learning model undergoes fine-tuning to improve performance. At the classification stage, performance will be measured based on model testing accuracy. The accuracy obtained using CNN is 74.61%, using GoogleNet is 87.45%, DenseNet is 93.92%, and MobileNet is 88.34%.
Comparison of Machine Learning Models for Heart Disease Classification with Web-Based Implementation
Authors: Ramadhan Angga Ramda , Saefulloh Nandang , Utami Nisa , Diana Muji , Utomo Abiyyu Aji Prasetyo , Wicaksana Yusuf Eka
Published: December 2024

Heart disease has become one of the most concerning diseases in Indonesia according to research published in 2018 by the Health Ministry of Indonesia. Based on said research, 15 out of 1000 Indonesians suffer from heart disease. Furthermore, according to data published by the Health Ministry of Indonesia, 3 million premature deaths (under 60 years old) occurred in 2013 due to heart disease. Therefore, this research aims to develop a web-based system designed to aid health workers in screening for heart diseases and producing early diagnosis. In developing this system, 5 models were evaluated based on performance and the model with the best metrics was selected to be used in the final system. These models were: Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, and K-Nearest Neighbours. SMOTE and ADASYN was also used to deal with imbalanced data, and the resulting balanced data was used as additional training scenarios in order to compare the result with algorithms trained using imbalanced data. Cross validation, accuracy, precision, recall, f1-score, and ROC with AUC were set as evaluation metrics. Results show that Random Forest trained with data balanced using ADASYN achieved the highest AUC score of 0.920. Meanwhile, Logistic Regression scored lowest with an AUC score of 0.500. These results indicate that Random Forest is the most suitable for this system Therefore, Random Forest was selected as the algorithm to be used in the final system. Furthermore, this system has been tested successfully using the black-box method and is ready to be implemented.
The noise immunity of IEEE 802.15.4 standard radio communication systems under the interference effect of wideband noise
Authors:   Voronezh State University 394018, Russia, Voronezh, Universitetskaya str., 1, Korchagin Yu.E. , Titov K.D. ,   Voronezh State University 394018, Russia, Voronezh, Universitetskaya str., 1, Petrov Yu.G. ,   Voronezh State University 394018, Russia, Voronezh, Universitetskaya str., 1, Kondratovich P.A. ,   Voronezh State University 394018, Russia, Voronezh, Universitetskaya str., 1
Published: December 2024

The simulation model of a radio communication channel of IEEE 802.15.4-2020 and IEEE 802.15.4z-2020 standards is developed using the MATLAB. A developed model estimates bit error rate under interference effect of noise with different bandwidth and distance between central frequency of the clutter signal and central frequency of the useful signal. The noise immunity of radio communication systems based on IEEE 802.15.4-2020 and IEEE 802.15.4z-2020 standards under interference effect of wideband noise with different useful signal overlap is investigated. The comparison between the noise immunity of different standard modes is performed. The obtained results of noise immunity estimation can be used for development of perspective ultra-wideband radio communication systems and increasing the efficiency of existing radio communication systems.
Evaluation of the stability of phase difference measurement in a passive bistatic GNSS radar system based on a software receiver
Authors:   Russian metrological institute of technical physics and radio enginering 141570, Russia Moscow region., Mendeleevo, industrial zone of FSUE «VNIIFTRI», Fateev V.F. , Ksendzuk A.V. ,   Russian metrological institute of technical physics and radio enginering 141570, Russia Moscow region., Mendeleevo, industrial zone of FSUE «VNIIFTRI»,   Interstate corporation «Vympel» 125480, Russia Moscow, Geroyev Panfilovtsev st., 10, bld.1, Lopatin V.P. ,   Russian metrological institute of technical physics and radio enginering 141570, Russia Moscow region., Mendeleevo, industrial zone of FSUE «VNIIFTRI», Artyushchev D.A. ,   Russian metrological institute of technical physics and radio enginering 141570, Russia Moscow region., Mendeleevo, industrial zone of FSUE «VNIIFTRI»
Published: December 2024

The passive bistatic radar method using signals of global navigation satellite systems reflected from the Earth's surface can be used to determine and monitor various geophysical parameters of the reflecting surface. Most receiver architectures for this method are based on specialized hardware receivers, but software-defined radio (SDR) technology is rapidly evolving and allows real-time signal processing. This allows to develop a bistatic GNSS-reflectometry system on its basis. The article analyzes that the use of a software receiver will allow receiving and processing existing and future signals of all navigation satellite systems. Experiments with various parameters of different software receivers have been conducted, which have shown the stability of the phase difference between the receiving channels. It is shown that for some types of software receivers, a significant improvement in the measurement error of the phase difference is observed when synchronizing from an external highly stable reference generator.
Public Opinion about European Researchers’ Night on Climate Change and Polar Science in Türkiye
Authors: Güner Demir Tuğba , Taşkın Pelin , Mızıkacı Fatma , Ergüven Nasıh Sarp
Published: December 2024

The European Researchers' Night is an annual event held across Europe on the last Friday of September, with the primary goal of promoting public recognition of scientists, disseminating information about the real-world impact of their research, inspiring young people to pursue careers in science, and raising awareness about research and innovation activities. In 2022, European Researcher’s Night focused on climate change and polar science in Istanbul and Gaziantep provinces. The central aim was to enhance public awareness of polar regions and global climate change, as well as to facilitate the acknowledgment of researchers and their work by the general public. This study examined the opinions of participants who attended these events, including 221 primary school students, 687 secondary school students, 525 high school students, and 319 adults. Utilizing a mixed-method approach, participant opinions were collected through both quantitative questionnaires and qualitative interviews conducted concurrently during the events. The results revealed overwhelmingly positive feedback from all participants regarding the events, with unanimous support for the continuation of such engaging public outreach initiatives. In conclusion, these events serve as effective channels for communicating scientific research with the public and underscore the importance of research extending beyond the confines of research communities.