bluuebunny/crossref_metadata_2025 huggingface dataset:
Perubahan Kadar Ion Fosfat dalam Limbah Cair Tahu oleh Fitoremidiasi Tanaman Kiambang (Salvinia molesta)
Authors: Ardiana Chevi , Mulyaningsih Sri , Hernawati Dewi , Sumirah Susum , Prasetio Ikhsan Gatot Aji
Published: August 2024

Industri Tahu menghasilkan limbah cair yang mengandung ion Fosfat, ion ini merupakan zat pencemar yang mencemari ekosistem perairan. Pengendalian zat pencemar dapat menggunakan fitoremediasi memanfaatkan tanaman tertentu dengan bantuan mikroorganisme. Penelitian ini bertujuan untuk mengetahui perubahan kadar Ion Fosfat dalam limbah cair tahu oleh fitoremediasi tanaman Kiambang (Salvina molesta). Metode penelitian menggunakan eksperimen dengan desain Rancangan Acak Lengkap (RAL). Penelitian terdiri dari lima perlakuan variasi jumlah tanaman kiambang, yaitu: kontrol (tanpa tanaman), 20 tanaman, 25 tanaman, 30 tanaman, dan 35 tanaman. Analisis Kolorimetri dengan Spektrofotmeter UV-Vis untuk menentukan perubahan kadar ion Fosfat. Hasil percobaan kadar ion Fosfat dalam sampel limbah cair tahu terdiri dari: kontrol (1,37 ppm), 20 tanaman kiambang (1,09 ppm), 25 tanaman kiambang (1,09 ppm), 30 tanaman kiambang (0,82 ppm), dan 35 tanaman kiambang (0,65 ppm). Hasil percobaan menunjukkan bahwa fitoremediasi tanaman kiambang berpengaruh terhadap perubahan kadar ion Fosfat. Berdasarkan hasil percobaan disimpulkan bahwa aplikasi teknik fitoremediasi dengan tanaman Salvinia molesta dapat mengendalikan pencemaran akibat limbah industri tahu. Penurunan kandungan ion Fosfat sejalan dengan semakin banyaknya populasi tanaman kiambang (Salvina molesta).
The unsung heroes in the fight to end HIV: The role of nurses in Indonesia
Authors: Ibrahim, S. Kp., MNS., PhD. Kusman , Kahle Erin M.
Published: August 2024

HIV new cases are continuing to be reported in Indonesia. Although progress in HIV prevention and control has been made, Indonesia continues to face significant challenges in its fight against HIV. Continued efforts to expand treatment, reduce stigma, and strengthen prevention initiatives by involving health care workers and all stakeholders are essential to controlling the epidemic and improving the lives of those affected by HIV in the country. As a healthcare worker, nurses are central to the country's efforts to control and eventually end the HIV epidemic. Their roles are diverse and impactful, ranging from direct patient care to community outreach, education, and policy advocacy. As Indonesia continues to face challenges in its HIV response, the contributions of nurses will remain essential in overcoming these barriers and improving the lives of those affected by HIV.
Sustainable testing strategies for large-scale software applications
Authors: Ramasamy R. Kanesaraj , Teh Teddy , Chan Fook Leong , Dharan Murali
Published: August 2024

As the complexity and scale of software applications increase, the challenges associated with testing these systems grow correspondingly, necessitating innovative and sustainable testing strategies. This paper explores a multifaceted approach aimed at addressing the intricate challenges inherent in testing large-scale software applications. Through a comprehensive examination of current industry practices and emerging trends, this study introduces a novel framework that integrates advanced testing techniques with state-of-the-art tools. This framework not only mitigates the challenges posed by the complexity and size of modern applications but also enhances the efficiency and effectiveness of the testing process. Key aspects of this research include a detailed exploration of test methodologies suited for large-scale applications, an evaluation of advanced tools designed for complex test scenarios, and an analysis of the impact of the test environment on sustainability. The findings offer valuable insights and actionable strategies for software development and testing professionals aiming to optimize testing processes and improve the quality and sustainability of their software in a rapidly evolving technological landscape.
The anatomy of urban regeneration-led gentrification in the middle east and north Africa—A systematic literature review
Authors: Abdelfattah Rawan Sohdy , Maghelal Praveen Kumar
Published: August 2024

Urban regeneration and gentrification are complex, interconnected processes that significantly shape cities. However, these phenomena in the Middle East and North Africa (MENA) region are often understudied and typically viewed through a Western lens. This systematic review of literature from 2010 to 2024 addresses this gap by synthesizing a comprehensive framework for understanding urban regeneration-led gentrification in MENA countries. The review delves into key themes: Gentrification contexts, the regeneration process, gentrification accelerators, and the aftermath of gentrification. It explores the diverse motives behind urban regeneration, identifies key stakeholders, and analyzes catalysts of gentrification. Findings reveal that informal areas and deteriorated heritage sites in major cities are most susceptible to gentrification. The study also highlights the critical issue of insufficient community participation and proposes a participation evaluation framework. The unique socioeconomic and political factors driving gentrification in the MENA region underscore the necessity of context-specific approaches, facilitating the identification of regional similarities and differences. Conclusively, the review asserts that gentrification is a cyclic process, necessitating core interventions through enhanced regeneration strategies or displacement plans to mitigate its effects.
Theoretical innovations in international relations from the perspective of “Global South”
Authors: Cui Hao
Published: August 2024

“Global South” is undoubtedly a broad term that typically refers to developing countries with varying degrees of economic, cultural and political influence. The rise of the Global South signifies the importance of reassessing the existing international order. In terms of international relations theory, this should be an innovative, progressive and reflective field of study. However, this research is predominantly led by the Western mainstream international relations theories. This often neglects the internal and external factors in the development processes of other countries, the formation of relationship frameworks, foreign policy formulation, and the need of foreign relations. Despite the ongoing and intense debate over the innovation of international relations theory, it is difficult to see it keeping pace with contemporary developments. Various schools and thoughts frequently innovate only within their foundational frameworks. Therefore, for Global South countries, there is the need for international relations theories that can reflect their specific needs and actual conditions. This does not only require breaking away from the westcentric theoretical framework, but ensuring that the innovation process is aligned with practical realities that recognize mutual interests and encompass both local and global perspectives. This approach should involve a comprehensive reflection on international relations, allowing innovation of international relations theories to genuinely “enter” the Global South countries.
Carbon farming and nutrient management. Influential factors of Polish farmers’ perception of pro-climate measures
Authors: Kuśmierz Sebastian , Skowrońska Monika
Published: August 2024

Carbon farming and nutrient management, a sustainable pro-environmental and pro-climate approach to enhance soil quality and mitigate carbon losses, faces implementation challenges in the European Union. To explore potentially existing barriers, a survey involved 122 Polish farmers, representing diverse systems and land-use. Utilizing structured questionnaires, in-depth interviews,and Principal Component Analysis, we assessed farmers’ perceptions of six pro-environmental and pro-climate measures. The survey highlighted factors influencing farmers’ willingness to adopt surveyed practices, revealing that the potential to enhance soil carbon and nitrogen stocks outweighed the impact of subsidies, bureaucracy, age, and farm size. Barriers included technical challenges and machinery limitations, notably hindering manure and slurry incorporation. Conservation tillage was considered least feasible nationally, attributed to machinery needs and a preference for conventional practices. Addressing these challenges, especially in conservation tillage, requires targeted education. Raising awareness about measures’ impact on soil carbon stock emerged as a potent means to overcome identified barriers.
Anesthetic management and anesthesia-related complications in dogs with a dilated cardiomyopathy phenotype: a retrospective study of 30 dogs (2010–2024)
Authors: Yankina Irina , Ida Keila K. , Wesselowski Sonya R. , Baetge Courtney L. , Moreno Kara L. , Lepiz Mauricio A. L. , Espinoza Melissa B. G. , Yankin Igor
Published: August 2024

OBJECTIVE

To describe perioperative anesthetic management in canines with a dilated cardiomyopathy (DCM) phenotype and to compare the frequency of general anesthesia–related complications with a control group of dogs without heart disease.

ANIMALS

30 dogs with DCM phenotype (cases) and 30 dogs without heart disease (controls).

METHODS

Dogs presented to a teaching hospital between 2010 and 2024 that were diagnosed with a DCM phenotype via echocardiography were included in this study. Controls were dogs that presented during the same time period and were matched with cases based on their age, breed, and type of procedure; however, no standardization of treatment between the groups was performed. Medical records were reviewed to evaluate the occurrence of anesthetic complications.

RESULTS

Of dogs with a DCM phenotype, 2 had overt DCM, 22 had occult DCM, and 6 had equivocal DCM. Dogs with DCM exhibited a lower likelihood of being premedicated with dexmedetomidine or induced with propofol. Conversely, DCM dogs were more likely to be induced with etomidate or midazolam compared to their counterparts without DCM. Dogs with DCM demonstrated an increased likelihood of experiencing cardiac arrhythmias during anesthesia, received comparatively lower volumes of IV fluids, and were more likely to be administered dobutamine during anesthesia. No significant differences were identified in terms of postanesthesia complications or survival rates to discharge.

CLINICAL RELEVANCE

Dogs with a DCM phenotype, primarily characterized by asymptomatic presentation, demonstrated comparable perioperative outcomes under general anesthesia when compared to matched controls, though the lack of standardization in anesthetic management limits definitive conclusions.
Clustering and Neuromarketing Ecosystem in Regional Growth and Development
Authors: Koyluoglu A. Selcuk
Published: August 2024

Objective: The aim of this study is to conceptually examine the impact of clustering and neuromarketing ecosystem on regional growth and development.
 
Theoretical Framework: The theoretical framework consists of clustering, neuromarketing and regional development concepts.
 
Method: A qualitative research approach was used in the study and secondary data was also used. Clustering has been discussed on a world and Turkish scale.
 
Results and Discussion: As a result, it has been understood that there is a close relationship between clustering, neuromarketing and economic growth and development.
 
Research Implications: Revealing the existence of relationships between these concepts is important in terms of implementing and diversifying applications in both the private and public sectors.
 
Originality/Value: This study contributes to marketing literature and professional business life by bringing together concepts such as clustering, neuromarketing and regional development and revealing the relationship between them.
Average salary in Australia by geographical differentiation
Authors: Митрошин И.В.
Published: August 2024

В условиях происходящих в мире политических и экономических перемен и введения западных санкций против России становится актуальным изучать происходящие в странах Запада и в нашей стране социально-экономические перемены. Показатели уровня жизни населения являются хорошим индикатором состояния экономики страны в целом. Важным индикатором, определяющим уровень жизни граждан, выступает средняя заработная плата. В настоящем исследовании проведен анализ средненедельной заработной платы в штатах и крупных городах Австралии за 2000–2023 гг. По результатам анализа показан рост уровня реальной заработной платы в стране в анализируемом периоде, а также снижение дифференциации между территориями и городами страны. Выявлена тенденция увеличения доли заработной платы при неполной занятости, что связано с ростом уровня жизни граждан и их возможностью работать неполную рабочую неделю, а также с кризисными явлениями в экономике страны, порождающими рост скрытой безработицы.
The relationship between monetary policy and financial stability of the Bank of Japan
Authors: Горчакова М.Е.
Published: August 2024

С конца 1990-х годов Банк Японии, столкнувшись с нулевой нижней границей процентных ставок, так же, как и крупнейшие зарубежные центральные банки, существенно ужесточает денежно-кредитную политику в ответ на инфляцию, что приводит к снижению его прибыли и капитала. Учитывая, что такой подход к реализации денежно-кредитной политики, сопровождаемый крупномасштабным расширением банковских балансов, потенциально может оказать большое влияние на финансы центральных банков в случае ужесточения денежно-кредитной политики, ведутся дискуссии о потенциальном влиянии на способность центральных банков проводить денежно-кредитную политику и, как следствие, удерживать доверие к своим валютам. В свете вышесказанного делается вывод о взаимосвязи между финансами центрального банка и проведением денежно-кредитной политики. В системе бумажных денег доверие к валюте напрямую обеспечивается не активами, принадлежащими центральному банку, или его финансовой устойчивостью, а соответствующим проведением денежно-кредитной политики с целью достижения стабильности цен. Исходя из этой предпосылки центральные банки обычно устроены таким образом, что они получают прибыль в более долгосрочной перспективе. Следовательно, даже если центральный банк временно несет убытки или имеет отрицательный капитал, это не ограничивает его способность проводить денежно-кредитную политику. Тем не менее это не означает, что центральный банк не может столкнуться с неограниченными потерями и отрицательным капиталом. Если финансовые риски центрального банка станут предметом чрезмерного внимания общества, существует риск снижения доверия к регулятору. Поэтому обеспечение финансовой устойчивости центрального банка имеет большое значение. Делается вывод, что Банк Японии будет продолжать проведение соответствующей политики, уделяя при этом внимание своей финансовой устойчивости.
Развитие ядерной энергетики в Северо-Восточной Азии: история, тенденции, перспективы
Authors: КОРНИЮК Максим Валерьевич
Published: August 2024

The article provides an overview of the formation and development of the nuclear industry in the countries of Northeast Asia: China, Japan, the Republic of Korea, and Taiwan. The impact of the accident at the Fukushima-1 nuclear power plant in 2011 on the prospects for the development of nuclear energy in Northeast Asia is analyzed. A description of the policies of the countries of the region in the field of development of the "peaceful atom" is also given and their export potential in this area is studied. It is concluded that the "Fukushima syndrome" did not have a fatal impact on the development of nuclear energy in the countries of the region.
Pengaruh Current Ratio, Return On Asset, Earning Per Share, dan Total Asset Turnover Terhadap Harga Saham
Authors: Legawa Samuel Iman , Fanani Baihaqi
Published: August 2024

Penelitian ini bertujuan untuk menguji dan mengetahui pengaruh Current Ratio, Return On Asset, Earning Per Share, dan Total Asset Turnover Terhadap Harga Saham. Populasi penelitian ini yaitu pada Perusahaan Sub Sektor Makanan dan Minuman yang Terdaftar di BEI Tahun 2018-2022. Sampel pada penelitian ini ditentukan dengan menggunakan purposive sampling dan didapatkan 23 sampel perusahaan yang sesuai dengan kriteria. Data yang digunakan menggunakan data sekunder yaitu laporan keuangan perusahaan. Metode yang digunakan yaitu analisis regresi linier berganda yang diolah menggunakan SPSS versi 25. Hasil akhir penelitian menunjukkan bahwa pengaruh Current Ratio, Return On Asset, Earning Per Share, Dan Total Asset Turnover Terhadap Harga Saham dengan nilai signifikansi 0,025 (2,5%). Earning Per Share dengan nilai signifikan sebesar 0,000 maka Earning Per Share berpengaruh positif terhadap Harga Saham. Sedangkan Return On Asset dengan nilai signifikan sebesar 0,033, Current Ratio dengan nilai signifikan sebesar 0,636 dan Total Asset Turnover dengan nilai signifikan sebesar 0,373 maka Return On Asset, Current Ratio dan Total Asset Turnover tidak berpengaruh terhadap Harga Saham.
Pengaruh Cost Of Fund, Non Performing Loan, Net nterest Margin, dan Asset Quality Terhadap Profitabilitas
Authors: Khamidah Ananda Putri Nur , Cahyaningtyas Niken Wahyu
Published: August 2024

Penelitian ini bertujuan untuk menganalisa pengaruh Cost of Fund, Non Performing Loan, Net nterest Margin, Asset Quality terhadap profitabilitas perusahaan perbankan taun 2015-2019. Penelitian ini merupakan penelitian deskriptif kuantitatif dengan data sekunder yang digunakan bersumber dar Bursa Efek ndonesia (BEI). Sampel yang digunakan dalam penelitian ini sebanyak 16 (enam belas) perusahaan perbankan yang terdaftar d BEI metode penelitian yang digunakan metode purposive sampling dimana sampel yang memenuh kriteria penelitian. Alat analisis yang digunakan dalam penelitian ini adaah analisis regres linear berganda. Hasil penelitian menunjukkan secara parsial Cost of Fund, Net nterest Margin, Asset Quality berpengaruh terhadap profitabilitas, sedangkan Non Performing Loan tidak memilik pengaruh signifikan terhadap profitabilitas. Secara simultan Cost of Fund, Non Performing Loan, Net nterest Margin, Asset Quality memilik pengaruh signifikan terhadap profitabilitas
Economic status and anxiety level in third trimester of pregnant women in facing normal labor: A cross-sectional study
Authors: Sukmanawati Dera , Yuliani Eris
Published: August 2024

The process of pregnancy and childbirth is a natural thing for a woman, but before the delivery process, a mother often feels anxiety. One of the factors that influence anxiety during pregnancy is economic status. This study aims to analyze the relationship between economic status and the level of anxiety of pregnant women in the third trimester in the face of normal delivery in the Work Area of Sodonghilir Health Center, Tasikmalaya Regency in 2022. This type of research is quantitative with observational analytic methods and a cross-sectional approach. The sample in this study was 37 third-trimester pregnant women, obtained by accidental sampling technique. The research instrument used a questionnaire. Bivariate analysis using spearman rank statistical test. The results of the univariate analysis showed that most of the economic status of pregnant women in the third trimester, including the upper class, was 64.9%. The anxiety level of pregnant women in the third trimester of pregnancy mostly experienced mild anxiety, namely 54.1%. the results of the bivariate test obtained a p-value 0,000 which mean there is a relationship between economic status and the level of anxiety of pregnant women in the third trimester of childbirth. It is recommended for the Sodonghilir Health Center improve health services, especially for pregnant women in the third trimester by providing information communication and education regarding childbirth preparation so that it can reduce anxiety in maternity mothers
Factors Affecting Cadres’ Knowledge and Ability to Identify Breastfeeding Problems in Malang District
Authors: Wati Linda Ratna , Indahwati Lilik , Putri Rismaina , Jannah Miftahul , Windari Era Nurisa , Hanifarizani Rahma Dian
Published: August 2024

Background: Breast milk is the ideal nutrient to support the growth and development of the baby. The government strives to increase exclusive breastfeeding, one of which is through the empowerment of cadres, so intensive efforts are needed to optimize the role of cadres in supporting exclusive breastfeeding. Objectives: This study aims to analyze factors related to the knowledge and ability of cadres in identifying breastfeeding problems.
Methods: The research design used observational analytic with a cross-sectional approach. A total of 46 posyandu cadres in the Malang Regency area were involved in this research.
Bivariate analysis using Spearman’s correlation with SPSS software version 26 and multivariate using path analysis with Smartpls software version 3.
Results: The cadres' knowledge related to breast milk and breastfeeding is mostly sufficient (65.22%). The ability of cadres to identify the breastfeeding problems the most in the category is sufficient (63.04%). The pathway analysis showed that the factors that influenced knowledge were education (r=0.488) and breastfeeding experience (r=0.336), but age had a negative effect (r=-0.267). Factors that influenced the ability to identify breastfeeding problems were breastfeeding experience (r=0.542) and breastfeeding training history (r=0.469).
Conclusions: Education and age are important factors in the recruitment of cadres, in addition, information and practices related to breast milk and breastfeeding obtained through experience and training are also needed to support exclusive breastfeeding.
Placenta Percreta with Massive Hematuria
Authors: Zulfiqar Yefri
Published: August 2024

Placenta accreta spectrum disorder (PAS) is diagnosed clinically when the placenta cannot be separated from the uterus after delivery. Abnormal placentas can be classified into three different entities such as placenta accreta, increta, and percreta. Placenta percreta is rare. Bladder bleeding due to placenta percreta has a poor prognosis. The main peculiarities of our case were a history of previous cesarean section, uterine curettage for miscarriage, and multiparity. Hematuria occurred in only 5% of patients. Early detection and appropriate treatment can save the patient's life
Komparasi Kinerja Algoritma Blocking Pada Proses Indexing Untuk Deteksi Duplikasi
Authors: Amin M. Miftakul , Dwitayanti Yevi
Published: August 2024

Proses integrasi data dari heterogeneous data sources memerlukan kualitas data yang baik. Salah satu ciri kualitas data yang baik adalah terhindar dari terjadinya duplikasi data. Untuk melakukan deteksi duplikasi, langkah yang dapat dilakukan adalah membandingkan setiap record dalam sebuah dataset sehingga membentuk candidate record pair. Teknik blocking digunakan untuk proses indexing yang dapat mengurangi jumlah pasangan record dalam proses deteksi duplikasi. Penelitian ini bertujuan untuk melakukan perbandingan beberapa algoritma blocking sehingga diperoleh rekomendasi algoritma mana yang paling optimal digunakan. Penelitian ini melakukan investigasi terhadap 6 buah algoritma blocking, yaitu Soundex, NYSIIS, Metaphone, Double Metaphone, Jaro Winkler Similarity, dan Cosine Similarity. Dataset yang digunakan dalam penelitian ini adalah dataset restaurant yang berisi 112 record, yang di dalamnya terdapat beberapa record yang terindikasi duplikat. Hasil penelitian menunjukkan bahwa algoritma NYSIIS memberikan hasil record blocking paling optimal, yaitu sebesar 97 record. Sedangkan algoritma Soundex dan Cosine Similarity memberikan hasil yang paling optimal, yaitu sebesar 8 buah candidate record pair. Sedangkan dari sisi waktu eksekusi algoritma Soundex dan NYSIIS memberikan proses yang paling cepat dengan durasi 0,04 detik.
 
Abstract
 
The process of integrating data from heterogeneous data sources requires good data quality. One of the characteristics of good data quality is avoiding data duplication. To perform duplication detection, a step that can be done is to compare each record in a dataset to form a candidate record pair. The blocking algorithm is used for the indexing process which can reduce the number of record pairs in the duplication detection process. This research aims to compare several blocking algorithms so as to obtain recommendations on which algorithm is most optimally used. This research investigates 6 blocking algorithms, namely Soundex, NYSIIS, Metaphone, Double Metaphone, Jaro Winkler Similarity, and Cosine Similarity. The dataset used in this research is a restaurant dataset containing 112 records, in which there are several records that indicate duplicates. The results showed that the NYSIIS algorithm provided the most optimal record blocking results, which amounted to 97 records. While the Soundex and Cosine Similarity algorithms provide the most optimal results, which are 8 candidate record pairs. In terms of execution time, the Soundex and NYSIIS algorithms provide the fastest process with a duration of 0.04 seconds.
Perbandingan Instance Segmentation Image Pada Yolo8
Authors: Wulanningrum Resty , Handayani Anik Nur , Wibawa Aji Prasetya
Published: August 2024

Seorang pejalan kaki sangat rawan terhadap kecelakaan di jalan. Deteksi pejalan kaki merupakan salah satu cara untuk mengidentifikasi atau megklasifikasikan antara orang, jalan atau yang lainnya. Instance segmentation adalah salah satu proses untuk melakukan segmentasi antara orang dan jalan. Instance segmentation dan penggunaan yolov8 merupakan salah satu implementasi dalam deteksi pejalan kaki. Perbandingan segmentasi pada dataset Penn-Fundan Database menggunakan yolov8 dengan model yolov8n-seg, yolov8s-seg, yolov8m-seg, yolov8l-seg, yolov8x-seg. Penelitian ini menggunakan dataset publik pedestrian atau pejalan kaki dengan objek multi person yang diambil dari dataset Penn-Fudan Database. Dataset mempunyai 2 kelas, yaitu orang dan jalan. Hasil perbandingan penggunaan model yolov8 model segmentasi yang terbaik adalah menggunakan model yolov8l-seg. Hasil penelitian didapatkan Instance segmentation valid box pada data orang, mAP50 tertinggi pada yolov8l-seg dengan nilai 0,828 dan mAP50-95 adalah 0,723. Instance segmentation valid mask pada orang nilai mAP50 tertinggi pada yolov8l-seg dengan nilai 0,825 dan mAP50-95 adalah 0,645. Pada penelitian ini, yolov8l-seg menjadi nilai terbaik dibandingkan versi yang lain, karena berdasarkan nilai mAP tertinggi pada valid mask sebesar 0,825.
 
Abstract
 
A pedestrian is very vulnerable to road accidents. Pedestrian detection is one way to identify or classify between people, roads or others. Instance segmentation is one of the processes to segment people and roads. Instance segmentation and the use of yolov8 is one of the implementations in pedestrian detection. Comparison of segmentation on Penn-Fundan Database dataset using yolov8 with yolov8n-seg, yolov8s-seg, yolov8m-seg, yolov8l-seg, yolov8x-seg models. This research uses a public pedestrian dataset with multi-person objects taken from the Penn-Fudan Database dataset. The dataset has 2 classes, namely people and roads. The results of the comparison using the yolov8 model, the best segmentation model is using the yolov8l-seg model. The results obtained Instance segmentation valid box on people data, the highest mAP50 on yolov8l-seg with a value of 0.828 and mAP50-95 is 0.723. Instance segmentation valid mask on people the highest mAP50 value on yolov8l-seg with a value of 0.825 and mAP50-95 is 0.645. In  his study, yolov8l-seg is the best value compared to other versions, because based on the highest mAP value on the valid mask of 0.825.
Pengaruh Tahapan Preprocessing Terhadap Model Indobert Dan Indobertweet Untuk Mendeteksi Emosi Pada Komentar Akun Berita Instagram
Authors: Khairani Ulfia , Mutiawani Viska , Ahmadian Hendri
Published: August 2024

Platform media sosial seperti Instagram telah membentuk ruang di mana berita dapat dengan mudah ditemukan dan menarik perhatian individu. Pada Instagram, dapat memberikan komentar-komentar terhadap berita yang telah dibaca. Pemahaman terhadap emosi yang mengiringi komentar-komentar yang telah diberikan pengguna pada postingan berita dapat membantu memahami bagaimana berita tersebut diserap, diinterpretasi, dan direspons oleh publik. Penelitian ini mengkategorikan empat emosi yaitu marah, senang, takut, dan sedih dengan menggunakan model terlatih IndoBERT dan IndoBERTweet. Penelitian ini bertujuan untuk membandingkan model IndoBERT dan IndoBERTweet dalam mendeteksi emosi pada komentar akun berita Instagram dan mengeksplorasi dampak penggunaan tahapan preprocessing khususnya remove stopwords dan stemming pada kedua model. Hasil penelitian menunjukkan bahwa model yang tidak melalui tahapan remove stopwords dan stemming menghasilkan kinerja yang lebih baik dibandingkan model yang melalui tahapan remove stopwords dan stemming, dengan perolehan akurasi sebesar 92,54% untuk model IndoBERTweet dan 88,81% untuk model IndoBERT.
 
Abstract
 
Social media platforms such as Instagram have created a space where news can be easily discovered and attract the attention of individuals. On Instagram, people can provide comments on the news they have read. Understanding the emotions that accompany the comments that users have given on news posts can help understand how the news is absorbed, interpreted and responded to by the public. This research categorizes four emotions, anger, happiness, fear and sadness, using pre-trained models IndoBERT and IndoBERTweet. This research aims to compare the IndoBERT and IndoBERTweet models in detecting emotions in Instagram news account comments and explore the impact of preprocessing stages, especially removing stopwords and stemming on both models. The research results showed that the model that did not go through the remove stopwords and stemming stages produced better performance than the model that went through the remove stopwords and stemming stages, with an accuracy of 92.54% for the IndoBERTweet model and 88.81% for the IndoBERT model.
Perancangan Disaster Recovery Plan Pada Pusat Data Dan Teknologi Informasi Komunikasi Instansi XYZ
Authors: Weni Sari Sefiulki , Ramli Kalamullah
Published: August 2024

Pusat Data dan Teknologi Informasi Komunikasi (Pusdatik) adalah bagian penting dari Instansi XYZ yang bertanggung jawab atas manajemen teknologi informasi dan pengoperasian pusat data. Dalam menghadapi tantangan dari era digital dan konektivitas yang cepat, Pusdatik harus memiliki kesiapan untuk mengatasi gangguan layanan dan operasional yang disebabkan oleh bencana dan ancaman. Salah satu langkah untuk meminimalkan dampak dari gangguan tersebut dengan melalui penyusunan Disaster Recovery Plan (DRP). Dalam penelitian ini, berdasarkan hasil wawancara dengan pimpinan, ketua tim, dan staf Pusdatik, terungkap bahwa layanan yang dikelola oleh Pusdatik memiliki peran yang krusial dalam mendukung proses bisnis organisasi. Namun, saat ini Pusdatik belum memiliki DRP yang dapat dijalankan dalam situasi bencana. Oleh karena itu, diperlukan perancangan DRP yang akan menjadi panduan dalam menghadapi gangguan dan bencana yang tidak terduga. Metode kualitatif dengan pendekatan studi kasus yang digunakan dalam penelitian ini. Data dikumpulkan dengan proses wawancara, studi pustaka, dan observasi langsung ke pusat data. Perancangan DRP dilakukan dengan merujuk pada NIST SP 800-34 Rev 1. Tahapan penelitian meliputi analisis proses bisnis, identifikasi aset, penilaian risiko, analisis dampak bisnis, evaluasi kontrol pencegahan sesuai dengan standar SNI 8799-1:2023, dan penyusunan dokumen DRP. Hasil penelitian ini merupakan dokumen DRP yang sesuai dengan kondisi Pusdatik saat ini.
 
Abstract
 
The Data Center and Communication Technology Information (Pusdatik) is an essential part of Institution XYZ responsible for managing information technology and operating data centers. In facing the challenges of the digital era and rapid connectivity, Pusdatik must be prepared to address disruptions in services and operations caused by disasters and threats. One step to minimize the impact of such disruptions is through the development of a Disaster Recovery Plan (DRP). In this study, based on interviews with leaders, team leaders, and staff of Pusdatik, it was revealed that the services managed by Pusdatik play a crucial role in supporting the organizational business processes. However, currently, Pusdatik does not have a DRP that can be implemented in disaster situations. Therefore, the development of a DRP is needed to serve as a guide in facing unforeseen disruptions and disasters. The research method used is qualitative with a case study approach. Data was collected through interviews, literature review, and direct observation of the data center. DRP development was carried out with reference to NIST SP 800-34 Rev 1. The research stages include business process analysis, asset identification, risk assessment, business impact analysis, preventive control evaluation in accordance with the SNI 8799-1:2023 standard, and DRP document preparation. The result of this study is a DRP document that aligns with the current condition of Pusdatik.
Analisis Burnout Programmer Terhadap Penerapan Secure Coding
Authors: Saputra Candra Heru , Ujianto Erik Iman Heri , Rianto
Published: August 2024

Di tengah perkembangan teknologi yang semakin pesat dan meningkatnya insiden keamanan siber, fokus terhadap aspek keamanan dalam pengembangan perangkat lunak menjadi sangat kritikal. Penelitian ini bertujuan untuk mengkaji dampak burnout pada programmer terhadap praktik secure coding. Studi ini dirancang untuk menggali korelasi antara tingkat kelelahan emosional programmer dan efektivitas mereka dalam menerapkan teknik secure coding, memberikan wawasan baru terhadap tantangan dalam pengembangan perangkat lunak yang aman. Penelitian ini mengadopsi pendekatan kuantitatif, dengan mengumpulkan data menggunakan kuesioner yang didistribusikan ke berbagai forum dan komunitas yang terdiri dari praktisi pengembangan perangkat lunak. Melalui teknik analisis statistik yang komprehensif, termasuk penerapan uji-t independen, studi ini berhasil mengidentifikasi adanya pengaruh yang signifikan dari kondisi burnout terhadap persepsi dan implementasi secure coding. Hasil analisis menunjukkan bahwa programmer yang mengalami burnout memiliki kecenderungan untuk menilai secure coding sebagai sesuatu yang kurang penting, yang berimplikasi pada pengurangan kualitas dan konsistensi dalam menerapkan standar pengkodean keamanan yang direkomendasikan. Temuan ini tidak hanya menekankan urgensi mengatasi isu burnout di kalangan programmer untuk meningkatkan praktik keamanan perangkat lunak tetapi juga berkontribusi pada literatur keamanan siber dengan menghubungkan faktor kelelahan emosional dengan keamanan pengembangan perangkat lunak.
 
Abstract
In the midst of rapidly advancing technology and increasing cybersecurity incidents, focusing on security aspects in software development has become critically important. This research aims to examine the impact of burnout on programmers regarding secure coding practices. The study is designed to explore the correlation between programmers' levels of emotional exhaustion and their effectiveness in implementing secure coding techniques, providing new insights into the challenges of developing secure software. This research adopts a quantitative approach, collecting data through questionnaires distributed across various forums and communities consisting of software development practitioners. Through comprehensive statistical analysis techniques, including the application of independent t-tests, this study successfully identifies a significant influence of burnout conditions on the perception and implementation of secure coding. The analysis results show that programmers experiencing burnout tend to perceive secure coding as less important, implicating a decrease in the quality and consistency of applying recommended security coding standards. These findings not only underscore the urgency of addressing burnout issues among programmers to enhance software security practices but also contribute to the cybersecurity literature by linking emotional exhaustion to software development security.
ELECTRONIC NOSE UNTUK SKRINING PENYAKIT DIABETES MELLITUS MENGGUNAKAN K-NEAREST NEIGHBOR DAN LARIK SENSOR
Authors: Arti Pipit Puji , Yanti Indri , Pauzan Muh
Published: August 2024

Kadar gula darah dalam tubuh harus dijaga agar tidak melebihi batas normal glukosa atau gula darah pada tubuh manusia. Jika batas ini terlampaui maka dapat menyebabkan diabetes mellitus. Efek penyakit tersebut sangat membahayakan dan dapat menyebabkan komplikasi penyakit lainnya. Diabetes mellitus adalah salah satu penyakit kronis yang prevalensinya terus meningkat secara global. Diagnosis dini dan pengelolaan yang tepat dapat membantu meningkatkan prognosis (prediksi) pasien. Penelitian ini mengembangkan penggunaan electronic nose (hidung elektronik) menggunakan kumpulan sensor (larik sensor) yang berfungsi untuk mengumpulkan informasi mengenai gas yang sedang diuji yang terdiri dari sensor gas MQ136 dan TGS822, dengan pemroses berupa Arduino Mega Pro 2560 untuk skrining penyakit diabetes mellitus menggunakan metode K-Nearest Neighbor (KNN) dengan k = 5. Pelatihan model KNN menggunakan data latih dan menguji kinerja model menggunakan data uji yang terpisah. Data latih yang digunakan sebanyak 100 data, sedangkan data uji yang digunakan sebanyak 20 data. Perhitungan dengan menggunakan confusion matrix diperoleh presisi sebesar 100%, recall atau sensitivitas sebesar 80% dan akurasi sebesar 90%. Penelitian ini diharapkan akan memberikan kontribusi dalam pengembangan teknologi deteksi diabetes mellitus yang cepat, non-invasif, dan berpotensi digunakan dalam skrining awal. 
 
Abstract
Blood sugar levels in the body must be maintained so that they do not exceed the normal limit for human blood glucose. If this limit is exceeded it can cause diabetes mellitus. The effects of this disease are very dangerous and can cause complications from other diseases. Diabetes mellitus is one of the chronic diseases whose prevalence continues to increase globally. Early diagnosis and proper management can help improve patient prognosis. This research develops the use of an electronic nose using a collection of gas sensors (sensor array) which functions to collect information about the gas being tested consisting of MQ136 and TGS822 gas sensors, with a processor in the form of an Arduino Mega Pro 2560 for screening diabetes mellitus using K-Nearest Neighbor (KNN) method with k = 5. The KNN model is trained using training data and the model's performance is tested using separate test data. A total of 100 training data were used, while 20 test data were employed. Calculations using the confusion matrix yielded a precision of 100%, a recall or sensitivity of 80%, and an accuracy of 90%. This research is expected to contribute to the development of fast, non-invasive diabetes mellitus detection technology that has the potential to be used in early screening.
Dramatic Influence of Temperature on Charging
Authors: Bodeau J. Michael , Altshuler Nina
Published: August 2024

Charging of cables outside of a spacecraft has been cited as the cause of multiple spacecraft anomalies based upon correlations with peaks in the energetic electron environment and because the electron flux exposure of external cables is much higher than internal cables. However, external cables are subject to much wider temperature changes than hardware located inside a thermally regulated spacecraft. Temperature affects bulk resistivity and radiation-induced conductivity, but temperature is often ignored in charging analyses and tests. In this paper, temperature effects are combined with a diurnal temperature variation and an external electron environment to simulate the charging of an external coax. The simulation shows that the coax dielectrics behave as perfect insulators during the cold portion of the 24 h cycle, but the accumulated charge leaks out during the hot portion of the cycle. There is no memory or hysteresis of charge density from one day to the next. This behavior is compared to the behavior of materials inside the spacecraft, where low flux and stable temperatures lead to charging time constants ranging from weeks to months that produce a slow, stair-step increase of trapped charge in response to multiple electron storms. These variations in charging response explain why some anomalies correlate best with peak 24 h average flux, whereas others correlate well with 14- or 21-day averaged flux. Analyses and tests used to qualify designs or investigate anomalies must account for the dramatic effects that temperature variation can have on the charging of insulators and isolated conductors.
Analytical Linearization of Aerodynamic Loads in Unsteady Vortex-Lattice Method for Nonlinear Aeroelastic Applications
Authors: Hente Christian , Roccia Bruno A. , Rolfes Raimund , Gebhardt Cristian G.
Published: August 2024

This paper presents the analytical linearization of aerodynamic loads (computed with the unsteady vortex-lattice method), which is formulated as tangent matrices with respect to the kinematic states of the aerodynamic grid. The loads and their linearization are then mapped to a nonlinear structural model by means of radial-basis functions, allowing for a two-way strong interaction scheme. The structural model comprises geometrically exact beams formulated in a director-based total Lagrangian description, circumventing the need for rotational degrees of freedom. The structural model is spatially discretized into finite elements and temporally discretized with the help of an implicit scheme that identically preserves momenta and energy. The resulting nonlinear discrete equations are solved by applying Newton’s method, requiring calculating the Jacobians of the whole aeroelastic system. The correctness of the linearized loads is then shown by direct comparison with their numerical counterparts. In addition, we employ our strongly coupled aeroelastic model to investigate the nonlinear static and dynamic behavior of a suspension bridge. With this approach, we successfully investigate the numerical features of the aeroelastic system under divergence and flutter conditions.
Unsteady Lifting-Line Theory for Camber Morphing Wings State-Space Aeroelastic Modeling
Authors: Giansante Riccardo , Bernardini Giovanni , Gennaretti Massimo
Published: August 2024

A novel frequency-domain analytical-numerical model for the aerodynamic solution of camber morphing wings is developed. The model combines an unsteady lifting-line formulation with Küssner–Schwarz aerodynamic theory to provide the pressure distribution and thus the transcendental aerodynamic matrix that relates the generalized aerodynamic forces to the Lagrangian coordinates of a given wing structural dynamics model. The state-space form of the aerodynamic loads is obtained from the rational matrix approximation of the aerodynamic matrix. This, combined with the wing structural dynamics operator, can readily provide the state-space form of the aeroelastic problem. To assess the accuracy of the proposed aerodynamic solution method, numerical investigations are performed. These consist of its application to several conventional wing configurations and wings with camber morphing, followed by the comparisons of the corresponding solutions with the predictions given by a well-validated panel-method solver for potential flows. These results are shown to be in very good agreement, thus demonstrating that the proposed approach can capture the effects due to wing tapering, sweep angle, and camber morphing, while requiring a remarkably lower computational effort. The excellent accuracy of a few-pole finite-state approximation of the aerodynamic matrix is finally proven for a swept wing with camber morphing.
Rancang Bangun Kotak Penerima Paket Pintar
Authors: Gunawan Harjadi , Aldily Kevin , Shandyanto Valencia Angelica , Darmawan Marten
Published: August 2024

Aktivitas manusia telah berubah dari waktu ke waktu. ketika teknologi belum ditemukan, semuanya rumit. Namun kini, penemuan teknologi telah membantu kita dengan cara yang lebih efektif dan lebih mudah. Hal ini membuat aktivitas kita sehari-hari menjadi jauh lebih mudah. Seiring dengan perkembangan teknologi yang pesat, proses jual beli menjadi lebih mudah karena dapat dilakukan melalui e-commerce. Namun, hal tersebut berdampak pada beberapa orang seperti orang menjadi tidak produktif dalam bekerja karena khawatir dengan kemasannya. Seringkali, ada paket yang datang dengan kondisi tidak sesuai harapan, serta tidak higienis karena telah mengalami banyak kontak dari orang-orang. Oleh karena itu, dibuatlah kotak penerima paket pintar (Smart Package Receiver) berbasis IoT menggunakan modul Wi-Fi ESP8266. Teknologi ini membantu menghilangkan kekhawatiran tentang kebersihan paket. Ketika kurir memasukkan paket ke dalam kotak, modul akan segera mengirimkan notifikasi melalui aplikasi discord ke perangkat-perangkat penerima. Kemudian, Sinar UV akan dipaparkan ke paket untuk mensterilkannya. Tujuan dari Smart Package Receiver adalah untuk menciptakan suatu sistem yang memudahkan masyarakat dalam menerima paketnya, juga menguntungkan bagi kurir dan penerima.
Studi Kasus Perancangan Alat Pemanas Sampah Menggunakan Heater Electric pada PT. XYZ
Authors: Darmawan Marten , Satryanatha Josaphat Febrian , Soewono Arka
Published: August 2024

Studi kasus dilakukan di PT. XYZ dengan tujuan untuk mempelajari dan melakukan analisis terhadap alat pengolah sampah yang diklaim mampu mengatasi permasalahan sampah di indonesia dari masalah penumpukan, pencemaran, serta efek keberlanjutannya. Cara kerja alat ini adalah dengan memanaskan sampah bukan dengan cara dipanaskan melalui pembakaran melainkan dipanaskan dengan bantuan listrik, singkatnya mengubah energi listrik menjadi energi panas, dan dilakukan dengan siklus tertutup sehingga mencegah polusi udara akibat pembakaran sampah. Hasil akhir yang didapatkan adalah sampah yang bervolume kecil, berwujud keras, namun masih mempertahankan fisik dari sampah tersebut. Walau jauh dari sempurna karena beberapa faktor, hasil akhir ini kemudian dihancurkan melalui mesin pencacah untuk mengubahnya menjadi butir-butir dimana butir-butir ini dapat dimanfaatkan untuk berbagai hal seperti pupuk tanaman, unsur tambahan untuk aspal, atau dijadikan unsur tambahan bahan bangunan.
Keratosis Linearis with Ichthyosis Congenita and Sclerosing Keratoderma Syndrome – An Unusual Presentation
Authors: Tauseef Shahzer , Sharmeen Ayesha , Adil Mohammad , Ahmad Murad
Published: August 2024

Keratosis linearis with ichthyosis congenita and sclerosing keratoderma syndrome is a rare autosomal recessive disorder which is characterised by palmoplantar keratoderma, linear hyperkeratotic plaques, ichthyosiform scaling, pseudoainhum and plaques distributed linearly in the flexures. A 7-year-boy presented with ichthyosiform scaling over body since birth, hyperkeratotic plaques over palms and soles. On cutaneous examination, diffuse ichthyosiform scales were present all over body with non-transgradient type of palmoplantar keratoderma with bilaterally symmetrical linear hyperkeratotic plaques over 5th metatarsophalangeal joint. In our case, hyperkeratotic plaque was seen in extensor region over the feet. This case is being reported on account of its rarity and rare presentation.
Do we really need ligands in Ir-catalyzed C–H borylation?
Authors: Zakis Janis M. , Kuhn Simone L. , Wencel-Delord Joanna , Smejkal Tomas
Published: August 2024

Direct borylation of C–H bonds is a privileged strategy to access versatile building blocks and valuable derivatives of complex molecules (late-stage functionalization, metabolite synthesis). This perspective aims to provide an overview and classification of the catalytic systems developed in this fast-growing area of research. Unexpected selectivity differences between two established directed-borylation systems have been discovered using high-throughput experimentation highlighting the importance of classical control experiments in catalysis research.