bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Electromobility in Poland as a Way to Reduce the Negative Impact of Land Transport on the Climate
Authors: Kozłowska Małgorzata 
Published: February 2024

Abstract
Public authorities should pursue a policy ensuring ecological security for present and future generations. Furthermore, the protection of the environment is the responsibility of public authorities. Environmental protection means all activities and instruments counteracting the deterioration of the environment; it is particularly important in this respect to counteract the negative effects of environmental degradation on health. Under Polish law, climate protection law is one of the most intensively developing areas of public law. This is because the responsibility for environmental protection should lie with the state, as it has all the tools to achieve this goal. In Poland, climate protection issues have found their rightful place in public discourse. Stopping climate change is now covered by a multi-level public policy, in which the leading role is assigned to administrative law regulations. The development of electric vehicles has a significant impact on the decarbonisation of transport, which mainly relies on diesel and petrol. The popularisation of green vehicles requires strategic management of demand for petroleum-based fuels, which is undoubtedly a public task.
The European Hydrogen Bank as an Element of Support for the EU Hydrogen Strategy
Authors: Spasowska Hanna Małgorzata 
Published: February 2024

Abstract
The European Hydrogen Bank is a new platform intended to connect users with producers and stimulate the private sector’s interest in new, environmentally friendly, hydrogen technologies. One of the purposes of this new institution is to reduce the cost difference between hydrogen produced in accordance with the guidelines of the delegated acts of the REDII (renewable hydrogen) and hydrogen produced from fossil fuels, and to increase the predictability of producer incomes. The institution is also designed to play a coordinating role, for instance, by collecting information on demand and supply, providing transparent information on prices and developing hydrogen market price benchmarks.
The bank is expected to become operational by the end of 2023. Particular emphasis is put on the financing of projects that contribute to the objectives of the European Green Deal, such as decarbonisation of industrial sectors that are difficult to electrify. The EHB is a key tool for driving the development and deployment of hydrogen technologies from renewable sources across the European Union. By providing financial support for hydrogen projects and supporting cooperation between EU Member States, the EHB can streamline the transition to a green hydrogen economy and contribute to Europe’s climate and energy objectives.
The Energy Poverty in Poland and Polish Communes
Authors: Puczko Aleksandra 
Published: February 2024

Abstract
This study attempts to analyse and provide details about the phenomenon of energy poverty in Poland and Polish, especially by characterizing the issue from a factual and legal point of view. Therefore, it focuses both on the meaning of energy poverty existing in research and its reflection in the legal system by linking it with the concepts of energy safety and the right to energy and power resources. The suitability of the normative separation of the phenomenon of energy poverty shows its interrelation with the public interest, which makes it the responsibility of administrative authorities, especially the self-government in communes, to counteract the issue. It also determines a new role of communes and extends the scope of tools introduced to rectify the situation of residents suffering from energy poverty. At the same time, it also burdens communes with new responsibilities (i.e., providing financial support to residents and balancing the need to combat energy poverty with other values and obligations, such as environmental protection). It also aggravates the existing multi-faceted nature of energy poverty and its effects.
BRANDING SUSTANABLE FOREST CITY AT IBU KOTA NEGARA (IKN) NUSANTARA VIEWED FROM THE PERCEPTION OF PENTAHELIX STAKEHOLDERS IN MANADO CITY
Authors: Warouw Felly Ferol , Pusung Piet Hein , Herdiawanto Heri , Luthfi R. Mokhamad 
Published: February 2024

Aim: This research aims to find the perceptions of these stakeholders towards sustainable forest city branding in the relocation of the Ibu Kota Negara-IKN (National Capital City) of the Nusantara (archipelago) to Kalimantan through a study in Manado City as one of the buffer cities of the IKN Nusantara. Methodology and results: The research method is descriptive and justified by correlational research method. The population in this study were stakeholders involved in urban life activities from various backgrounds. A sample of 30 respondents representing urban pentahelix stakeholders residing in the city of Manado was identified randomly and determined purposively. This research is conducted on the existing city pentahelix stakeholders and encourages the sustainability of development and the city environment itself.Conclusion, significance, and impact study: The results showed that pentahelix stakeholders' understanding of sustainable forest city branding is understood by all pentahelix-based stakeholders. At the next level, whether these stakeholders understand and agree to implement what the sustainable forest city program is, the level of agreement of the respondents is above 70 percent. But then whether the content of sustainable forest city branding already exists, there is a decrease in understanding by these stakeholders. For this reason, intervention is needed in the form of socialization of more massive sustainable forest city branding so that it is understood by each pentahelix stakeholder so that collaboration can be improved with the hope of being able to improve the quality of the IKN itself and the surrounding cities of this IKN.
Efektifitas Metode Preference Selection Index (PSI) dalam Menentukan Penyaluran Dana Bantuan Sosial COVID-19 pada Kecamatan Mandau
Authors: Radillah Teuku , Fauzansyah  , Widodo Pulla Pandika , Mursalan Hafiz , Putra Budi Permana 
Published: February 2024

COVID-19 merupakan pandemi global yang penyebarannya sangat cepat, termasuk di Indonesia. Untuk memulihkan perekonomian di tengah kondisi pandemi ini, pemerintah berupaya memberikan dana bantuan sosial (bansos) COVID-19 disetiap kecamatan di berbagai wilayah, termasuk Kecamatan Mandau di Kota Duri seperti bantuan bahan pokok makanan. Namun dalam pelaksanaannya terdapat kendala dalam penyaluran dana bantuan sosial tersebut karena data yang diterima oleh petugas kecamatan masih menggunakan sistem pencatatan manual sehingga pendataan penerima bantuan tidak akurat dan tidak memiliki acuan kriteria persyaratan sebagai penerima bantuan, yang menyebabkan penerima bantuan sosial tidak tepat sasaran. Dalam penelitian ini, untuk mengatasi masalah tersebut telah dirancang analisa perhitungan berbasis website dengan menggunakan metode Preference Selection Index (PSI) yang mampu mengklasifikasikan penerima bantuan sesuai kriteria yang diharapkan. Hasil dari penerapan metode PSI kedalam aplikasi berbasis web ini memberikan kemudahan bagi calon penerima bantuan untuk mendaftar secara online, dan untuk proses penyaluran bantuan sosial menjadi lebih mudah, transparan, dan tepat sasaran. dengan kriteria data yang akurat dengan skala prioritas pengurutan secara descending untuk nilai tertinggi yaitu 0.883, dan hasil nilai terendah atau non prioritas yaitu 0.322.

Abstract
COVID-19 is a global pandemic with rapid spread, including in Indonesia. To restore the economy amid this pandemic, the government is trying to provide COVID-19 social assistance funds in every sub-district in various regions, including Mandau District in Duri City, such as assistance with staple foods. However, in practice there are obstacles in the distribution of social assistance funds because the data received by sub-district officials still uses a manual recording system so that the data collection on beneficiaries is inaccurate and does not have a reference to the eligibility criteria as beneficiaries, which causes social assistance recipients to be not on target. In this study, to overcome this problem a website-based calculation analysis has been designed using the Preference Selection Index (PSI) method that can classify the beneficiaries according to the expected criteria, and after this calculation analysis is implemented in this sub-district, the social assistance distribution process becomes easier and on target with accurate criteria.
Implementasi Algoritme Spongent sebagai Algoritme Hashing untuk Integritas pada Modul Komunikasi Lora
Authors: Kusyanti Ari , Agrahita Wiguna I Putu , Andri Bakhtiar Fariz 
Published: February 2024

Internet of Things (IoT) merupakan konsep terbaru dalam ranah teknologi dan informasi komunikasi dengan fondasinya berdasarkan pada pertukaran informasi antara objek-objek pintar. Komunikasi dalam lingkup IoT memiliki peran penting untuk saling terhubung dengan beberapa perangkat untuk mengirimkan pesan. Teknologi yang secara khusus menargetkan situasi di mana cakupan area yang luas dengan biaya penerapan yang rendah dan konsumsi daya yang rendah menggunakan frekuensi radio ialah LoRa. LoRa dioptimalkan untuk implementasi pada perangkat dengan sumber daya yang terbatas, namun pada penerapan IoT, keamanan data menjadi tantangan selain keterbatasan sumber daya. Pengamanan data dapat dilakukan dengan algoritme hashing seperti algoritme SPONGENT. Algoritme SPONGENT dipilih untuk menjamin integritas data. Berdasarkan hasil penelitian, algoritme SPONGENT telah berhasil diimplementasikan sebagai keamanan integritas data pada LoRa. Pengujian terhadap keamanan data dengan pengujian serangan aktif berhasil dilakukan karena ketika penyerang mengirimkan data yang sudah diubah, telah dilakukan pengecekan pada gateway dan data yang dihasilkan tidak valid. Algoritme SPONGENT menunjukkan kinerja yang lebih baik dari Algoritme QUARK berdasarkan kinerja waktu hashing.

Abstract
The Internet of Things (IoT) is a recent concept in the realm of technology and information communication, built on the foundation of information exchange among smart objects. Communication within the scope of IoT has an important role to connect with multiple devices to send messages. Technology that specifically targets situations where large area coverage with low deployment costs and low power consumption use a radio frequency is LoRa. LoRa is optimized for implementation on limited resource devices, but in IoT deployment, data security becomes a challenge in addition to resource limitations. Data security can be done with hashing algorithms such as SPONGENT algorithm. The SPONGENT algorithm was chosen to ensure data integrity. Based on the research results, the SPONGENT algorithm has been successfully implemented as data integrity security in LoRa. Testing of data security with active attack testing is successful because when the attacker sends the modified data, it has been checked on the gateway node and the resulting data is invalid. SPONGENT algorithm shows better performance than QUARK algorithm based on hashing time performance.
Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai
Authors: Pradani Kharisma Ayu , Suadaa Lya Hulliyyatus 
Published: February 2024

Ujian berbasis esai seringkali digunakan untuk menguji pemahaman siswa dalam menyelesaikan permasalahan. Tak terkecuali dalam pelaksanaan ujian di Politeknik Statistika STIS. Dalam melakukan penilaian pada jawaban tipe ini, dibutuhkan waktu serta tenaga yang besar, dan sering kali menimbulkan ketidakkonsistenan dalam penilaian. Hal ini dapat terjadi salah satunya karena perbedaan cara penilaian yang dilakukan oleh orang yang berbeda. Oleh karena itu diperlukan penyelesaian yang bisa mengefektifkan waktu, tenaga serta menjaga kekonsistenan aspek penilaian, diantaranya yaitu dengan automated essay scoring (AES). AES merupakan suatu model yang dilatih untuk menilai suatu esai secara otomatis berdasarkan kemiripan jawaban dengan kunci jawaban. Pada penelitian ini, metode yang diusulkan untuk menghitung kemiripan semantik teks berbahasa Indonesia antara jawaban esai dan kunci jawabannya yaitu model berbasis Transformers IndoBERT. Sebagai baseline, digunakan teknik ekstraksi fitur Term Frequency - Inverse Document Frequency (TF-IDF) dan penghitungan kemiripan fitur menggunakan cosine similarity dan linear regression. Selanjutnya nilai kemiripan tersebut dikonversi ke rentang nilai yang diinginkan sebagai prediksi nilai dari setiap esai. Berdasarkan hasil evaluasi, diperoleh bahwa model fine-tuned IndoBERT merupakan model terbaik dengan nilai MAE dan RMSE sebesar 0.1285 dan 0.2001.

Abstract
Essay-based exams are often used to test students’ understanding of solving problems. However, assessing this type of answer takes a lot of time and effort and often results in inconsistencies. One of the reasons is the different ways between people while doing the assessment. Therefore, a solution is needed to streamline time, effort, and maintain consistency in aspects of assessment, including automated essay scoring (AES). AES is a model trained to assess an essay automatically based on the similarity of answers with the answer key. In this study, the method proposed to calculate the semantic similarity of Indonesian text between essay answers and answer keys is a model based on the Transformer BERT. As a baseline, the Term Frequency – Inverse Document Frequency (TF-IDF) feature extraction technique is used and calculating feature similarity using cosine similarity and linear regression. Then the similarity value is converted to the desired range of values as the predicted value of each essay. Based on the evaluation results, it was found that the fine-tuned IndoBERT model was the best model, with MAE and RMSE values of 0.1285 and 0.2001.
Model Prognosis Masa Pengobatan Pasien Tuberkulosis Dengan Metode C4.5
Authors: Rusdah Rusdah , Bregastantyo Brian Agni 
Published: February 2024

Pasien Tuberkulosis mempunyai jangka waktu pengobatan yang relatif beragam karena tingkat kepatuhan tiap pasien untuk meminum obat sampai dengan habis dan jangka waktu yang sudah ditentukan oleh Dokter Spesialis Paru. Apabila salah diagnosa terkait dosis obat maka akan meningkatkan faktor resiko kesehatan yaitu dimana proses pengobatan akan lebih memakan waktu dan lebih lama karena adanya kondisi Multi-Drug Resistant. Hal ini yang harus menjadi perhatian semua pihak agat tingkat kegagalan atas proses pengobatan pasien Tuberkulosis harus ditekan se minimal mungkin. Faktor kebiasaan pasien dan waktu minum obat pasien harus dijaga ketat agar masa pengobatan dapat lebih dipersingkat. Dokter Spesialis Paru berupaya untuk menekan tingkat Drop Out pasien Tuberkulosis dengan cara mengawasi jadwal mereka dengan pengelolaan yang baik. Oleh karena itu, dibutuhkan sistem untuk membantu proses prediksi masa pengobatan pasien dengan menerapkan Cross-Industry Standard Process for Data Mining (CRISP-DM) dan menggunakan pendekatan data mining dengan mengimplementasikan algoritma C4.5 setelah dilakukan eksplorasi data menggunakan beberapa algoritma untuk klasifikasi dengan tujuan untuk hasil akurasi performa model untuk prognosis masa pengobatan pasien tuberkulosis. Melalui tahap Data Understanding dan Data Preprocessing menghasilkan atribut baru yaitu Lama Pengobatan. Dengan menggunakan 596 record mendapatkan hasil akurasi sebesar 74.33%.

Abstract
Tuberculosis patients have a relatively diverse treatment period because of the level of compliance of each patient to take the drug until it runs out and the time period has been determined by the Pulmonary Specialist. If a wrong diagnosis is related to drug dosage, it will increase health risk factors, namely where the treatment process will take more time and longer due to the Multi-Drug Resistant condition. This should be the concern of all parties so that the failure rate of the treatment process for tuberculosis patients must be kept to a minimum. The patient's habit factor and the patient's time to take medication must be closely monitored so that the treatment period can be shortened. Pulmonary Specialists try to reduce the Drop Out rate of Tuberculosis patients by monitoring their schedule with good management. Therefore, a system is needed to help predict the patient's treatment period by applying the Cross-Industry Standard Process for Data Mining (CRISP-DM) and using a data mining approach by implementing the C4.5 algorithm after exploring the data using several algorithms for classification with the aim of for the results of model performance accuracy for the prognosis of the treatment period of tuberculosis patients. Through the Data Understanding and Data Preprocessing stages, a new attribute is produced, namely the Length of Treatment. By using 596 records to get an accuracy of 74.33%.
Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV)
Authors: Setiawan Budi Darma , Rusydi Alfi Nur 
Published: February 2024

Pengamatan terhadap tata letak sebuah wilayah, terutama wilayah berpenduduk, penting dilakukan untuk mengetahui perkembangan dan perubahan yang terjadi. Salah satu pendekatan yang dapat digunakan untuk pengamatan perkembangan suatu wilayah dari waktu ke waktu adalah dengan dengan melihat perubahan tutupan lahan (land cover) secara spasial dengan menggunakan citra foto udara. Foto udara yang mencakup sebuah wilayah dianalisis dengan mengelompokan jenis tutupan lahan atau dikenal dengan land cover classification (klasifikasi tutupan lahan). Metode klasifikasi yang digunakan adalah dengan genetic fuzzy system, yaitu metode klasifikasi dengan menggunakan sistem fuzzy yang aturannya dan fungsi keanggotaannya dioptimasi dengan menggunakan algoritma genetika. Proses metode ini terdiri dari dua tahap yaitu training process, untuk mencari aturan fuzzy yang baik, dan kemudian dilanjutkan dengan tuning process, yaitu proses untuk menggeser batasan nilai pada fungsi keanggotaan himpunan fuzzy yang digunakan. Input program ini adalah nilai red (R), green (G), dan blue (B) dari tiap pixel di dalam citra, dan outputnya adalah kelas pixel yang dikelompokkan (tanah, air, vegetasi, bangunan, dan jalan). Hasil penelitian menunjukkan bahwa nilai fitness tertinggi yang diperoleh adalah hingga 0.84 atau 84%.

Abstract
Observation of the layout of an area, especially populated areas, is important to monitor what has been changed during the time period. To observe the development of an area from time to time, one approach that can be done is to observe land cover changes from above. Aerial imagery of an area is analyzed by grouping some subareas based on their land cover types or known as land cover classification. This study proposed the genetic fuzzy system to classify each pixel in the image. The genetic fuzzy system is a classification method using a fuzzy system whose membership function is optimized using a genetic algorithm. The process consists of two stages, namely the training process, to find good fuzzy rules, and then proceed with tuning processes, namely the process of shifting the value constraints on the membership function of the fuzzy set used. The input of this program is the red (R), green (G), and blue (B) values of each pixel in the image, and the output is the class in which the pixels are grouped (soil, water, vegetation, buildings, and roads). From the experimental results, the highest fitness value was obtained up to 0.84 or 84%.
Pengembangan Gim Simulasi Kehidupan untuk Peningkatan Literasi Grafik Menggunakan Framework DPE
Authors: Silitonga Erico , Muhammad Adams Jonemaro Eriq , Aminul Akbar Muhammad 
Published: February 2024

Literasi grafik merupakan kemampuan untuk memahami dan menginterpretasikan informasi yang ditampilkan dalam bentuk grafik. Berdasarkan survei yang dilakukan oleh Tiro pada 155 mahasiswa di Universitas Negeri Makassar, didapatkan bahwa tingkat pemahaman konsep tabel dan grafik hanya sebesar 43%, selain itu, terdapat juga riset yang dilakukan oleh Mustain pada 59 murid yang duduk di bangku kelas 8 SMP, pada risetnya, didapatkan bahwa kurang dari 15% dari 59 murid tersebut memiliki nilai yang cukup untuk mendapatkan nilai Kriteria Ketuntasan Minimal dalam pembelajaran grafik. Hal ini terbilang mengkhawatirkan karena kemampuan untuk menginterpretasikan data dari membaca grafik merupakan kemampuan yang sangat penting dimiliki. Solusi yang ditawarkan pada penelitian ini adalah sebuah alternatif pembelajaran grafik menggunakan gim serius sebagai sumber pembelajaran. Pengembangan gim serius akan menggunakan kerangka kerja DPE pada proses desainnya. Pada penelitian ini akan dilakukan dua pengujian, yaitu pengujian black box, dan juga uji kompetensi pre-test dan post-test. Hasil dari pengujian black box menunjukan 100% valid pada pengujiannya, sehingga sistem terbukti dapat berjalan dengan baik. Dari pengujian uji kompetensi juga dapat dilihat peningkatan rata-rata nilai dari 70.657 menjadi 81.090, hasil ini membuktikan bahwa gim simulasi kehidupan dapat dijadikan sarana pembelajaran alternatif untuk grafik.

Abstract
Graphic literacy is the ability to understand and interpret information presented in graphical form. Based on a survey conducted by Tiro on 155 students at Makassar State University, it was found that the level of understanding of the concept of tables and graphs was only 43%, besides that, there was also research conducted by Mustain on 59 students who were in grade 8 junior high school, in his research, it was found that less than 15% of the 59 students had sufficient scores to get the Minimum Mastery Criteria score in learning graphics. This is somewhat worrying because the ability to interpret data from reading charts is a very important ability to have. The solution offered in this study is an alternative to graphic learning using serious games as a learning resource. Serious game development will use the DPE framework in their design process. In this study, two tests will be carried out, namely black box testing, as well as pre-test and post-test competency tests. The results of the black box testing show 100% valid in the test, so the system is proven to work properly. From the competency tests it can also be seen that the average score has increased from 70,657 to 81,090. These results prove that life simulation games can be used as an alternative learning tool for graphics.