bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensemble Tree untuk Memprediksi Level Resiko Maternal Mortality di Bangladesh
Authors: Damaliana Aviolla Terza , Trimono Trimono , Prasetya Dwi Arman
Published: July 2024

Komplikasi kehamilan banyak terjadi di negara yang berkembang. Menurut WHO, Lebih dari 99% wanita meninggal setiap harinya pada negara berpenghasilan rendah dan menengah  dikarenakan adanya kehamilan dan komplikasi kelahiran. Salah satu negara yang memiliki rata-rata penduduk berpenghasilan rendah dan menengah adalah Bangladesh. Salah satu cara untuk memantau Kesehatan ibu dan janin adalah dengan mengetahui faktor resiko terjadinya maternal mortality yang selanjutnya digunakan untuk memprediksi tingkat resikonya. Berdasarkan hal itu tingkat resiko terjadinya Maternal Mortality perlu diteliti lebih lanjut. Pada penelitian ini menggunakan pendekatan Machine Learning dengan metode ensemble Tree untuk memprediksi tingkat resikonya. Metode yang digunakan antara lain Random Forest, Bagging Decision Tree, Adaptive Booster, GBM, dan XGBoost. Untuk mendapatkan metode terbaik, model dievaluasi menggunakan accuracy, precision, dan recall. Selanjutnya ke-empat metode tersebut dibandingkan, hasilnya adalah metode Random Forest memiliki nilai accuracy tertinggi yaitu sebesar 86,03% dengan atribut paling penting yang mempengaruhi prediksi yaitu Gula Darah.
Model ARMA-GARCH dan Ensemble ARMA-GARCH untuk Prediksi Value-at-Risk pada Portofolio Saham
Authors: Trimono Trimono , Riyantoko Prismahardi Aji , Agista Fira
Published: July 2024

Portofolio saham merupakan salah satu bentuk investasi yang dapat digunakan meminimumkan risiko kerugian. Pada portofolio saham, nilai risiko kerugian dapat diprediksi melalui nilai return. Apabila variansi return portofolio bersifat heteroskedastik, prediksi risiko dapat digunakan menggunakan model VaR ARCH/ GARCH atau VaR ARCH/GARCH Kombinasi. Selanjutnya, keakuratan VaR dalam memprediksi nilai risiko kerugian diuji melalui uji Backtesting. Pada penelitian ini, portofolio saham disusun atas saham PT. Indofood Tbk (INDF) dan saham PT. Astra Agro Lestari (Tbk) periode 2 Agustus 2012 sampai dengan 1 Oktober 2021. Hasil yang diperoleh menunjukkan bahwa model terbaik adalah ARIMA(0,0,[3])-GARCH(1,2) dengan nilai AIC -5.7902 dan MSE 1.8755 × 10-6. Pada tingkat kepercayaan 95%, berdasarkan uji Backtesting VaR ARIMA-ARCH/GARCH terbukti sangat akurat untuk memprediksi risiko kerugian karena nilai rasio pelanggarannya (VR) sama dengan 0.01.
Kata Kunci: Portofolio saham, risiko kerugian, heteroskedastik, VaR, Backtesting
Regresi Data Panel untuk Memodelkan Tingkat Kemiskinan di Provinsi Papua
Authors: Rahmadini Dwi , Alfidayanti Ina , Al Haris M
Published: July 2024

The purpose of this research was to model and determine the factors that influence the poverty rate in the Province of Papua from 2018 to 2020 by applying panel data analysis. The independent variables in this research were life expectancy, average length of schooling, open unemployment rate, and labor force participation rate. The estimation model used was the common effect model (CEM), fixed effect model (FEM) and random effect model (REM). The best model to determine the factors that influence the poverty rate in the Province of Papua was Random Effect Model and (REM) and the independent variable that has a significant effect on the poverty rate in Papua Province in 2018-2020 was the average length of school.
Understanding of Contract Fundamentals for Tourism Awareness Groups in Kare Village, Madiun Regency
Authors: VSJ Lintang Yudhantaka , VSJ Miko Aditya Suharto , VSJ Much. Arief Syahroni
Published: July 2024

Madiun Regency is not only rich in natural resources but also rich in human resources. Until now, there is a lot of business potential in Madiun Regency, and to create a good business climate, good facilities and infrastructure are needed as well. For this reason, strategies and policies, and implementation programs are needed to create good tourism and the importance of synergy between tourism actors. For this reason, the urgency of understanding contracts concerning business development is very much needed in the development and management of Micro, Small, and Medium Enterprises (MSMEs) in Madiun. The contract is intended as a forum for partnership in the development and management of business activities. Understanding contracts in business activities is essential because the existence of a contract can provide a reference or guideline for the parties in carrying out their business activities. In addition, the existence of a contract will undoubtedly provide more legal certainty for the parties. It can reduce the potential for disputes to occur because the distribution of rights and obligations has been regulated based on the parties' agreement.
Education For Waste Management of Covid-19 Medical Mask in Pamotan Village, Porong District, Sidoarjo Regency
Authors: VSJ Aldira Mara Ditta Caesar Purwanto , VSJ Maria Novita Apriyani
Published: July 2024

During the Covid-19 Pandemic, masks are a must-have item for almost everyone. The use of masks, which has become a new habit in society, certainly adds to the generation of waste, which if not managed properly can damage the environment. The activity is aimed at increasing the knowledge of the people of Pamotan Village, Porong District about the management of mask waste. The form of activity is in the form of lectures, discussions and questions and answers. 20 people and village officials participated in the activity. Community participation in the form of participation in socialization activities and questions asked in the question and answer session. The material presented was about the management of mask waste and about the role of the community in the management of Covid-19 medical mask waste. This activity received a good response from the Pamotan Village community and is expected to be sustainable as a form of education for the community.
Analisis Bibliometrik Perkembangan Penelitian Kewirausahaan pada Era Teknologi Digital
Authors: Lili Safitri Diati  , Ganefri  , Asmar Yulastri  , Nizwardi Jalinus  , Jonni Mardizal
Published: July 2024

Kewirausahaan dalam era digital telah melalui transformasi yang signifikan, menawarkan peluang baru bagi para pengusaha untuk memasuki pasar global dengan efisien dan hemat biaya. Akses ke alat digital dan platform online menurunkan hambatan masuk, memungkinkan berbagai latar belakang individu untuk meluncurkan usaha baru dan mengembangkan inovasi yang efektif dalam memenuhi kebutuhan pasar spesifik. Di tengah-tengah evolusi ini, kewirausahaan digital menjadi kunci bagi negara berkembang untuk mengintegrasikan dalam ekonomi global, mengatasi hambatan geografis dan infrastruktural. Meskipun demikian, tantangan persisten seperti kesenjangan digital memerlukan investasi dalam infrastruktur dan pendidikan teknologi untuk memanfaatkan ekonomi digital secara inklusif. Pasar digital yang dinamis menuntut para pengusaha untuk terus beradaptasi dengan perkembangan teknologi terbaru agar tetap kompetitif. Penelitian ini menggunakan analisis bibliometrik untuk memetakan dan memahami tren dalam penelitian kewirausahaan digital, mengidentifikasi 218 dokumen yang relevan dari tahun 2019 hingga 2023. Analisis ini menunjukkan bahwa terdapat minat penelitian yang signifikan dalam area ini, dengan 405 penulis yang berkontribusi pada pertumbuhan literatur. Pendekatan ini mengungkapkan hubungan antara kata kunci yang sering muncul bersama, memungkinkan peneliti untuk melacak perkembangan tema penelitian dan memproyeksikan arah masa depan. Tujuan utama dari studi ini adalah untuk menyajikan gambaran menyeluruh tentang publikasi kewirausahaan di era digital dan menyediakan referensi bagi peneliti untuk mengeksplorasi celah penelitian yang ada. Hasil dari analisis bibliometrik ini memberikan pandangan terhadap evolusi teknologi pendidikan, membantu mengidentifikasi dan mengevaluasi perkembangan terkini dan tren masa depan yang penting untuk membimbing penelitian dan praktik pendidikan yang akan datang.
Analysis Quality of Service using Service Performance and Importance Performance Analysis Method at Community Health Center
Authors: Della Puspita Fannysah , Enny Aryanny
Published: July 2024

Community health center is a health services in Indonesia that aims to organize first-level public health efforts. The current condition observed in level one health centers in Indonesia relates to the services provided. A large portion of patients who have experienced the services express dissatisfaction with the level of service provided. This research aims  to determine the quality of service in community health center and provide advices to improve the quality of health center services. The method used in this research is the Servperf method and Importance Performance Analysis. Based on research with the service performance method, the mean performance level is 3,39 and the mean importance level is 4,38. Meanwhile, the Importance Performance Analysis obtained the level of conformity between performance and importance is 77,49% with seven atrributes of service quality dimensions that enter quadrant I and are the top priority for improvement. The proposed improvements are made to improve the quality of health center services in the future by adjusting the main priority attributes of improvements to the Importance Performance Analysis diagram.
Pengaruh Pengetahuan Kewirausahaan dan Media Sosial Terhadap Motivasi Berwirausaha Mahasiswa
Authors: Vivi Oktavia  , Ganefri  , Asmar Yulastri  , Nizwardi Jalinus  , Jonni Mardizal
Published: July 2024

Kewirausahaan di Indonesia mendapat perhatian sebagai cara untuk merangsang pertumbuhan ekonomi dan menciptakan pekerjaan, khususnya di kalangan lulusan perguruan tinggi, dimana tingkat pengangguran masih tinggi. Terlepas dari upaya yang dilakukan, masih ada kesenjangan antara persiapan mahasiswa dan kesiapan berwirausaha yang sesungguhnya. Penelitian ini bertujuan untuk menganalisis pengaruh pengetahuan kewirausahaan, dan penggunaan media sosial, terhadap motivasi berwirausaha mahasiswa di Universitas Negeri Padang. Menggunakan metode survei dengan kuesioner yang disebar secara online kepada 40 mahasiswa, penelitian ini mengumpulkan data yang kemudian dianalisis dengan regresi linear berganda menggunakan SPSS 29. Hasil uji normalitas Kolmogorov-Smirnov menunjukkan data berdistribusi normal, memungkinkan analisis lebih lanjut. Hasil penelitian menunjukkan bahwa pengetahuan kewirausahaan dan penggunaan media sosial secara signifikan meningkatkan motivasi berwirausaha. Dengan pemahaman yang lebih baik tentang faktor-faktor ini, institusi pendidikan dapat merancang program yang lebih efektif untuk mendorong kewirausahaan di kalangan mahasiswa, mengoptimalkan peran media sosial sebagai alat pendorong kesiapan wirausaha.
Analisis Tantangan Penerapan Extended Enterprise Pada Digitalisasi Penyaluran Pembiayaan UMKM: Studi Kasus
Authors: Rianinda Syamei
Published: July 2024

Program pembiayaan Ultra Mikro (UMi) sebagai salah satu kredit program pemerintah untuk membantu akses layanan pembiayaan UMKM, menghadirkan inovasi penyaluran secara digital kepada pelaku UMKM di indonesia. Untuk mewujudkan inovasi tersebut, pemerintah melakukan kerjasama dengan penyedia jasa uang elektronik dalam meningkatkan kapabilitas PIP dalam menyalurkan pembiayaan UMi secara digital. Akan tetapi penyaluran digital tersebut masih menghadapi hambatan dalam penyaluran pembiayaan. Penelitian ini dilakukan untuk menganalisis tantangan pada penyaluran program pembiayaan UMi melalui uang elektronik. Pengambilan data dilakukan melalui wawancara serta analisis dokumen. Beberapa tantangan yang dihadapi adalah integrasi sistem, limit saldo dan ekosistem uang elektronik. Tantangan-tantangan tersebut kemudian dipetakan dengan tiga faktor yang mempengaruhi efektifitas kolaborasi pada extended enterprise. Penelitian ini juga memberikan rekomendasi menggunakan model ABC untuk menjawab tantangan-tantangan tersebut. Rekomendasi yang diberikan meliputi pembuatan unit khusus, penyusunan kebijakan organisasi hingga peningkatan fitur dan modul pada sistem.
Implementasi Association Rule Untuk Rekomendasi Strategi Up-Selling dan Cross-Selling Produk Menggunakan FP-Growth
Authors: Nabiilah Nabiilah , M. Afdal  , Novita Rice , Mustakim
Published: July 2024

BC 4 HNI Pekanbaru merupakan cabang dari PT. HNI-HPAI Indonesia yang menjual berbagai macam produk. Tingginya transaksi namun tidak diiringi dengan promosi yang efektif menyebabkan beberapa produk kurang dikenal sehingga produk kurang laku. Penerapan asosiasi data mining dengan FP-Growth untuk mendapatkan aturan asosiasi produk, bertujuan agar rules dapat dikembangkan menjadi strategi penjualan dengan pendekatan CRM. Pendekatan CRM dengan menggunakan teknik cross-selling dan up-selling dapat meningkatkan penjualan. Pada cross-selling, dilakukan penawaran barang lain yang memiliki kaitan dengan barang yang akan dibeli, sedangkan up-selling dilakukan dengan mengarahkan pembeli untuk melakukan pembelian barang dengan value yang lebih tinggi dari rencana awal sehingga meningkatkan penjualan barang yang kurang laku. Maka dari hasil 20 dengan variasi nilai percobaan menggunakan data transaksi bulan Juli 2023-Desember 2023 yang telah dilakukan dari pengolahan data dengan FP-Growth, rules yang mencukupi nilai min support 5% dan min confidence 70% kemudian menjadi dasar strategi cross-selling serta rules yang mencukupi nilai min support 5% dan min confidence 10% untuk up-selling.
Perbandingan Algoritma XGBoost dan SVM Dalam Analisis Opini Publik Pemilihan Presiden 2024
Authors: Safitri Dea , Susanti  , Rahmaddeni  , Fitri Triyani Arita
Published: July 2024

Pemilihan presiden dipengaruhi oleh berbagai faktor, termasuk latar belakang kandidat, isu politik, dan preferensi ideologi, sehingga pemilihan presiden menjadi subjek klasifikasi yang kompleks dan menarik. Menganalisis sentimen publik terhadap kandidat dan isu-isu politik memberikan wawasan penting mengenai dinamika politik selama pemilu. Penelitian ini berfokus pada pemilihan presiden dan membandingkan kinerja dua algoritma klasifikasi populer, XGBoost dan SVM, untuk menentukan metode mana yang lebih efektif. Setelah melalui beberapa tahapan text preprocessing terhadap 562 tweet, kami menemukan bahwa mayoritas pengguna Twitter cenderung memilih 347 tweet "Prabowo". Model Extreme Gradient Boosting (XGBoost) menunjukkan performa terbaik dengan presisi 78%, presisi 76%, recall 78%, dan skor f1 76%. Hasil tersebut menunjukkan bahwa XGBoost merupakan model terbaik untuk mengklasifikasikan opini publik terkait pemilu presiden 2024 dan memberikan kontribusi penting dalam memahami efektivitas metode klasifikasi dalam konteks pemilu presiden.
Sentiment Analysis Based on Machine Learning Techniques: A Comprehensive Review
Authors: Hamid Ari Ibrahim , Abdulazeez Adnan Mohsin
Published: July 2024

In the landscape of digital communication, sentiment analysis stands out as a pivotal technology for deciphering the vast troves of unstructured text generated online. When integrated with machine learning, sentiment analysis transforms into a powerful tool capable of distilling insights from complex human emotions and opinions expressed across social media, reviews, and forums. This review paper embarks on a thorough exploration of the integration of machine learning techniques with sentiment analysis, shedding light on the latest advancements, challenges, and applications spanning various sectors including public health, finance, and consumer behavior. It meticulously examines the role of machine learning in elevating sentiment analysis through improved accuracy, adaptability, and depth of analysis. Furthermore, the paper discusses the implications of these technologies in understanding consumer sentiment, tracking public health trends, and forecasting market movements. By synthesizing findings from seminal studies and cutting-edge research, this review not only charts the current landscape but also forecasts the trajectory of sentiment analysis. It underscores the necessity for ongoing innovation in machine learning models to keep pace with the evolving digital discourse. The insights presented herein aim to guide future research endeavors, highlight the transformative impact of machine learning on sentiment analysis, and outline the potential for new applications that could benefit society at large.
Quality of Service Pengiriman Data dengan Menggunakan Wireless Sensor Network pada Prototype Greenhouse
Authors: Budiyarto Aris , Hadiani Dini , Ardiyanto Hery
Published: July 2024

Untuk pertanian yang menggunakan greenhouse, kesehatan lingkungan khususnya tanah dan udara sangat penting. Oleh karena itu, kualitas tanah dan udara harus  dikelola dengan baik. Salah satu cara untuk mengelola hal tersebut dengan menggunakan sistem wireless sensor network untuk mempermudah melakukan pemantauan oleh petani greenhouse. Konsep wireless sensor network ini menggunakan perangkat NRF24L01+ sebagai modul komunikasi dan ESP32 sebagai mikrokontroler pada master/receiver dan 5 node/transmitter dengan masing-masing node menggunakan sensor DHT22, Soil Moisture Sensor, MH-Z19, MQ-9, dan MQ-2. Fokus dan tujuan pada penelitian ini yaitu menganalisis Quality of Service pada sistem wireless sensor network dengan paramater uji latency/delay, uji throughput, uji jitter, uji packet loss yang diterapkan pada sistem pemantauan sebuah greenhouse. Hasil akhir penelitian membuktikan bahwa performa dari wireless sensor network adalah baik sekali, sehingga sistem dapat diterapkan pada pemantauan kualitas lingkungan pada greenhouse karena sistem dapat berjalan dengan real-time.
Sistem Penyiraman Otomatis berbasis Arduino Pada Kebun Tomat Menggunakan Sensor Soil Moisture
Authors: Dimas Rizky Putra Pratama  , Nunu Nugraha Pratama  , Muhamad Riyad Ariwibowo
Published: July 2024

Tanah merupakan media tumbuh tanaman yang memiliki kandungan mineral tanah yang dapat mempengaruhi kondisi tanah tersebut, di antaranya suhu dan kelembapan tanah. Kondisi tanah yang baik mempunyai nilai kelembapan di atas 50%-80%. Selain kelembapan tanah faktor lain yang mempengaruhi pertumbuhan tanaman salah satunya yaitu suhu, Suhu tanah yang ideal bagi sebagian jenis tumbuhan berada di kisaran 20ºC hingga 35ºC ,Tanaman tomat bisa tumbuh dengan baik dengan minimal kondisi kelembapan tanah di atas 50%,. Oleh karena itu dibutuhkannya pengujian untuk mengetahui kondisi tanah tersebut, dengan cara membuat sistem penyiraman otomatis berbasis arduino menggunakan sensor soil moisture. Hasil pengujian pada sensor soil moisture menunjukkan bahwa kondisi tanah yang ideal ada pada waktu malam hari, dengan rata rata setiap sensor yang digunakan yaitu 66,92 %, 60,19 %, 61,81%, 66,86%, sehingga pengujian sensor pH memperoleh nilai rata rata error 3,89 %, serta nilai pengujian sensor water flow dengan  nilai rata rata 7,828 L/min.
Media Disc Triage Assessment on Improving Triage Skills Using the Australasian Triage Scale (ATS) on Students of Kusuma Husada University Surakarta
Authors: Rosida Nikma Alfi , Afni Annisa Cindy Nurul , Rahmad Muhamad Nur
Published: July 2024

ABSTRACT The Australasian Triage Scale (ATS) is a tool used by triage officers in the emergency department to assess patient severity and prioritize services based on the severity of the patient's condition. To evaluate the effectiveness of using learning tools in the form of Disc Triage Assessment as a learning medium in improving understanding and accuracy in determining triage by nursing students in using ATS triage. The Community Service method used is quasi-experimental with a pre-post test without control design. Community Service will be carried out on Nursing Study Program Students, Diploma Three Program, Faculty of Health Sciences, Kusuma Husada University. Data analysis was performed using the Wilcoxon test. The pretest results showed that the moderate category was 1 respondent (3.1%) and the poor category was 31 respondents (96.9%). The posttest results with the Good category were 3 respondents (9.4%) and the Fair category were 5 respondents (75.0%). The results of the use of Disc Triage Assessment media show that the p-value is 0.016 (<0.05) which means that there is an effect of Disc Triage Assessment Media on Skills to Determine Australasian Triage Scale (ATS) on Students of Kusuma Husada University Surakarta. Keywords: Media Disc Triage Assessment, Triage skills, Australasian Triage Scale (ATS)
Penerapan Terapi Bermain Mewarnai Pada Anak Prasekolah Yang Mengalami Kecemasan Hospitalisasi
Authors: Amalia Luthfiana , Irdawati Irdawati , Putri Rosalia Dian Arsita
Published: July 2024

ABSTRACT Hospitalization of children is a procedure that requires children to be in health services to receive medical treatment until their condition recovers and they are allowed to go home. The reaction of preschool-aged children during the treatment period is anxiety. Anxiety occurs because the child feels a traumatic situation because he is separated from his daily environment. Coloring play therapy is an effective game option for children to play during their hospital stay. Applying coloring play therapy to reduce anxiety in children who are hospitalized. This case study uses a nursing care approach by applying coloring play therapy for 30 minutes given to three preschool age children who experienced anxiety due to hospitalization as measured using the Faces Anxiety Scale (FAS). Coloring play therapy was proven to reduce the anxiety scale in pre-school children due to hospitalization. Play therapy intervention can reduce anxiety in children undergoing hospitalization so that children become cooperative in receiving nursing actions Keywords : Coloring play therapy, Anxiety, Preschool Children ABSTRAK Hospitalisasi pada anak merupakan prosedur yang mengharuskan anak berada di pelayanan kesehatan untuk mendapat perawatan medis hingga kondisi pulih dan diperbolehkan pulang. Reaksi anak usia preschool selama masa perawatan adalah kecemasan, kecemasan terjadi karena anak merasakan situasi traumatis karena terpisah dari lingkungan sehari-hari. Terapi bermain mewarnai menjadi salah satu pilihan permainan yang efektif untuk dilakukan anak saat masa perawatan di rumah sakit. Menerapkan terapi bermain mewarnai untuk mengurangis kecemasan pada anak yang mengalami hospitalisasi. Studi kasus ini menggunakan  pendekatan asuhan keperawatan dengan menerapkan terapi bermain mewarnai selama 30 menit yang diberika pada tiga anak usia prasekolah yang mengalami kecemasan akibat hospitalisasi yang diukur menggunakan Faces Anxiety Scale (FAS). Terapi bermain mewarnai terbukti menurunkan skala kecemasan pada anak usia pra sekolah akibat hospitalisasi. Intervensi terapi bermain dapat menurunkan kecemasan pada anak  yang menjalani hospitalisasi sehingga anak menjadi kooperatif menerima tindakan keperawatan Kata kunci: Terapi Bermain mewarnai, Kecemasan, Anak Prasekolah
Analisis Faktor yang Berhubungan dengan Kanker Payudara Pada Wanita di Klinik Bintang Ki Maja Lampung
Authors: Fadhila Syifa Rahmi , Karyus Aila , Setiaji Bambang , Irianto Sugeng Eko , Za'im Ammar , Nonasri Fitra Galih
Published: July 2024

ABSTRACT Breast cancer is the first contributor to cancer in women in Indonesia. The early detection rate for breast cancer in Bandar Lampung City in 2022 through the SADANIS examination is quite low (40.8%), the prevalence of breast cancer in Bandar Lampung City is high. Bintang Ki Maja Clinic founded by oncology surgeons, has a community of breast cancer sufferers “Komunitas Tetap Semangat”. To examining factors related to the incidence of breast cancer in women at the Lampung Bintang Ki Maja Clinic in 2024. This research is a quantitative research with a case control design. The minimum sample size is 100 people, using consecutive sampling technique. Data were collected using a breast cancer risk factors and smoking behavior questionnaires, then analyzed and presented in univariate, bivariate and multivariate analysis, using chi square and binary logistic regression. Age at first pregnancy (p=0.021), hormonal contraception use (p=0.003), family history (p=0.021), and smoking behavior (p=0.025) were associated with the incidence of breast cancer and the dominant factor is hormonal contraception use (OR 4.872). Hormonal contraceptive use, family history, and smoking behavior are related to the incidence of breast cancer and hormonal contraceptive use is the dominant factor. Keywords: Breast Cancer, Hormones, Women of Childbearing Age  ABSTRAK Kanker payudara menjadi penyumbang pertama kanker pada wanita di Indonesia. Angka deteksi dini kanker payudara di Kota Bandar Lampung tahun 2022 melalui pemeriksaan SADANIS cukup rendah (40,8%), sehingga prevalensi kejadian kanker payudara di Kota Bandar Lampung masih tinggi. Klinik Bintang Ki Maja yang didirikan oleh dokter spesialis bedah onkologi memiliki komunitas penderita kanker payudara “Komunitas Tetap Semangat”. Untuk meneliti faktor-faktor yang berhubungan dengan kejadian kanker payudara pada wanita di Klinik Bintang Ki Maja Lampung tahun 2024. Penelitian ini menggunakan desain case control. Jumlah sampel minimal 100 orang diambil dengan teknik consecutive sampling. Pengambilan data dilakukan menggunakan kuesioner faktor risiko kanker payudara dan perilaku merokok, kemudian dianalisis, dan disajikan dalam analisis univariat, bivariat, dan multivariat, menggunakan chi square dan regresi logistik ganda. Faktor usia pada kehamilan pertama (p=0,021), pemakaian kontrasepsi hormonal (p=0,003), riwayat keluarga (p=0,021), dan perilaku merokok (p=0,025) berhubungan dengan kejadian kanker payudara. Faktor yang dominan berhubungan dengan kejadian kanker payudara pada wanita di Klinik Bintang Ki Maja Lampung adalah pemakaian kontrasepsi hormonal (OR 4,872).  Faktor pemakaian kontrasepsi hormonal, riwayat keluarga, dan perilaku merokok berhubungan dengan kejadian kanker payudara dengan faktor yang dominan berhubungan adalah pemakaian kontrasepsi hormonal. Kata Kunci: Hormon, Kanker Payudara, Wanita Usia Subur
Analysis and trends in the organisation of military catering in diﬀerent countries of the world
Authors: Goyko I. , Stetsenko N.
Published: July 2024

The state of nutrition of military personnel is one of the main features that determine the combat capability of the military contingent, especially in the context of russia's large-scale invasion of our country. The high physical and moral and psychological stresses faced by military personnel while performing combat missions lead, frst and foremost, to a signifcant increase in the body's need for essential substances, such as vitamins and minerals. In order to maintain a high level of combat capability, physical and emotional state of servicemen and to perform combat missions, it is necessary to provide personnel with adequate nutrition in the feld with a cut-oﬀ from supply bases. In accordance with the purpose of the work, the article provides a scientifc analysis and coverage of the current state of nutrition of the Armed Forces of Ukraine servicemen, compared to the armies of the world's leading countries, in accordance with the current legislative and regulatory documents. It is shown that Norm No. 10, which is used by the Armed Forces of Ukraine servicemen in the feld, contains canned meat and meat and vegetable products that are ready for consumption, and Norm No. 15 contains ready-to-eat dishes (biscuits, crackers, jam, honey, spices). In addition, an enhanced dry ration with dried fruit, dark chocolate, ready-to-eat meat and instant coffee was developed for servicemen directly involved in combat operations. The author has analysed the food supply of personnel in the armies of diﬀerent countries of the world and considered the principles of their formation. It is found that the food rations for the military personnel of the Armed Forces of Ukraine meet the current physiological standards in terms of energy value and are not inferior to those abroad, but the analysis of their composition showed the absence of dairy products, vegetables, fruits and dishes for vegetarians. To diversify the rations, it is proposed to use foods of increased nutritional value enriched with functional ingredients.
Keywords: servicemen, army, rations, dry rations, food products, energy value.
Pengaruh Problem Based Learning (PBL) Terhadap Keterampilan Berpikir Kritis dan Kolaboratif dalam Pembelajaran Biologi Terintegrasi Nilai Islam
Authors: Nova Fauziah Rahman  , Listyono  , Mirtaati Na'ima
Published: July 2024

Ilmu pengetahuan dan teknologi pada abad 21 berkembang sangat pesat, salah satunya di bidang pendidikan. Berpikir kritis menjadi salah satu keterampilan berpikir yang dibutuhkan pada abad 21 (21st Century Skill). Peserta didik tidak hanya dituntut harus memiliki keterampilan berpikir kritis saja, namun keterampilan kolaboratif juga perlu dimiliki. Berdasarkan uji awal yang dilakukan diketahui bahwa keterampilan berpikir kritis dan kolaboratif peserta didik di MA Matholi’ul Huda Sokopuluhan Pati masih dalam kategori rendah, sehingga diperlukan upaya untuk dapat meningkatkan keterampilan tersebut. Namun dalam pelaksanaannya membutuhkan sebuah model pembelajaran yang dapat membantu, yakni model probelm based learning (PBL). Model PBL berpengaruh baik terhadap peserta didik jika diterapkan pada materi sains yang diintegrasikan dengan nilai Islam. Tujuan dari penelitian ini yaitu untuk menganalisis pengaruh model PBL terhadap keterampilan berpikir kritis dan kolaboratif peserta didik dalam pembelajaran biologi terintegrasi nilai Islam. Metode yang digunakan dalam penelitian yaitu kuasi eksperimen dengan desain pretest posttest control group design. Hasil dari penelitian menunjukkan bahwa terdapat pengaruh model pembelajaran PBL terhadap keterampilan berpikir kritis dan kolaboratif peserta didik dalam pembelajaran biologi terintegrasi nilai Islam. Hal tersebut dibuktikan dengan hasil uji anacova instrumen berpikir kritis dengan nilai signifikansi sebesar 0,000, artinya H1 diterima. Kesimpulan dalam penelitian ini yakni model pembelajaran PBL dapat meningkatkan keterampilan berpikir kritis dan kolaboratif peserta didik dalam pembeljaran biologi terintegrasi nilai Islam.
The Effect of Using Cake Application on Students’ Vocabulary Mastery of Junior High School
Authors: Gaol Desi Sastria Lumban , Safna Nur Anjelina , Zebua Vilmin Artinia , Sipayung Kammer Tuahman , Wafa Ali
Published: July 2024

Cake application is an excellent English-learning tool for mastering English. The study aims to determine whether the Cake app affects students' vocabulary mastery. The present study used a quantitative method of experimental design. The data were collected from forty second-grade students at Junior High School (SMP) HKBP Sidorame Medan, Indonesia. The sample was divided into twenty students in the experimental group and twenty students in the control group, in which pre-and post-tests were given separately to each group and a vocabulary test was taken. The results demonstrate that the average pre-test score for the experimental group in this study was 42.8 points, while the average post-test score was 72. The average pre-test score for the control group was 42.65 points, while the average post-test score was 6.8. It was also found that Ha was accepted. However, Ho was rejected due to the fact that T-count > T-table = 4.41 > 1,686, indicating that this program is highly effective and helpful for learning English vocabulary. These findings suggest that traditional or existing methods may be less effective, highlighting the necessity for innovative approaches to vocabulary learning. Educational policymakers can use these findings to support decisions regarding the integration of successful programs into the curriculum, potentially leading to enhanced English language education standards. Furthermore, the results indicate a need for additional research to identify the specific elements of the program that most significantly impact its effectiveness. This further investigation could facilitate the refinement and optimization of the program to achieve even better outcomes.
The Linguistic Impact of Tiktok Usage on a Preschooler's Language Development
Authors: Elchaira Nadya , Perangin-angin Alemina Br. , Rosa Rusdi Noor
Published: July 2024

Tik Tok is incredibly popular across all age groups, including young children. Its attractiveness, use, and accessibility have a big influence on how children perceive linguistic exceptions when using the app. The focus on this study is to investigate the impact of TikTok on the linguistic development of a five-year-old child. This study utilizes a case study methodology and a qualitative research strategy. In this study, interviews and observations are the methods used to collect data. Feiza Elhayatein, a five-year-old child who watches Tik Tok videos at times, is the study's subject. The study's findings indicated that Feiza had a greater capacity for language use, but parents should exercise greater caution in this regard. Feiza's parents do need to set limits and restrictions for her Tiktok video consumption, even though this application may help her learn the language.
Euphemism in News Elections Discourses in the Daily Jawa Pos
Authors: Hadwijaya Munawwir , Mukarom Mukarom
Published: July 2024

Newspapers these days tend to be less kind, especially when reporting on elections. Euphemisms can be used because journalistic discourse surrounding elections is essentially political. The purpose of this study is to describe the usage of euphemisms, including their form, meaning, and purpose. In this study, a qualitative descriptive method was employed. This research data is presented as words, phrases, and clauses found throughout the whole news discourse column concerning elections in the daily Jawa Pos issue from November 2023 for 12 discourses. The documentation approach was used to acquire data. The research findings demonstrate that euphemisms in simple words, phrases, and clauses are present in the news discourse regarding the election in the daily Jawa Pos for November. In news discussions around elections, euphemisms typically have meanings related to linguistic refinement and the concealment of unpleasant facts or events.
Adoption of adaptive behavior and its peer effects on grain growers in Jiangxi Province, China
Authors: Zhong Q , He YL , Peng HY , Liu Y , Li HJ
Published: July 2024

The global climate has shown an increasing warming trend and the occurrence of abnormal weather has become more frequent as a result. As a leading agricultural province, Jiangxi Province is susceptible to the impacts of weather-related disasters. Utilizing a sample of 324 large grain-farming households in Jiangxi Province and employing the 2-stage least-squares (2SLS) instrumental variables estimator, this study investigates the impact of the adoption of adaptive behavior by grain farmers in response to meteorological disasters on the farming community of the province. The results reveal a significant peer effect on the decision-making process of grain-farming households. Information transmission and role model mechanisms are key ways through which the peer effect manifests. The peer effect on adaptive behavior is more significant in full-time farming households with higher levels of education and larger numbers of family members engaged in agricultural activities than in part-time farming households with lower levels of education and smaller numbers of family members engaged in agricultural activities. This study provides valuable insight into developing a scientifically rational decision-making process for grain-farming households in Jiangxi Province, beyond administrative policy, with the goal of reducing losses incurred by farmers/farming households due to meteorological disasters.
Writing about Masud Khan
Authors: Hopkins Linda
Published: July 2024

This article tells the story of a three-decade delay in the publication of Masud Khan’s personal diary, which he called his Work Books. They were meant for publication after his death in 1989, yet he neglected to name a literary executor prior to his death, and the copyright was subsequently allocated to the International Psychoanalytical Association (IPA). The IPA chose to destroy their copy of the Work Books in 2019, alongside all other Khan-related materials in their possession, yet Linda Hopkins, author of an acclaimed biography of Khan, worked alongside Steven Kuchuck to obtain permission from the IPA Executive Committee to publish an edited version of an exact copy of the Work Books which Khan had given to his close friends Robert and Sybil Stoller for eventual publication. This is the story of a struggle to get permissions, after objections were raised by various psychoanalysts who mistakenly feared the contents of the Work Books would invade the privacy rights of Khan’s patients.
An Interview with M. Masud R. Khan
Authors: Anderson James William
Published: July 2024

In an interview created in 1981–1982, M. Masud R. Khan told of his background as a Muslim from a wealthy landed family in British India. He narrated how he came to London in his early twenties. He met with John Bowlby to inquire about receiving a psychoanalysis. Bowlby mistakenly thought he wanted to become a psychoanalyst. Intrigued by the idea, Khan ended up applying for training as a psychoanalyst and was accepted to and then completed the training course. The interview includes his anecdotes about Melanie Klein, Donald W. Winnicott, and Anna Freud. In his supervision with Klein, she provided some ‘marvelous interpretations’, he noted, but, in his view, she undervalued the analysands’ personal experiences. Not only did he have an analysis with Winnicott, but he assisted Winnicott in the elder analyst's writing. Despite their long association, Khan claimed that he and Winnicott respected but disliked each other. Anna Freud generously helped Khan when he was ill. She also told him that her father, Sigmund Freud, largely gave up on friendships with men after his breaks with Carl Jung and Otto Rank and the death of Karl Abraham. Khan described his work-in-progress on Virginia Woolf.
Generation of lysolipin derivatives by genetic engineering
Authors: Robertsen Helene , Rohrer Sabrina , Kulik Andreas , Wohlleben Wolfgang , Mast Yvonne
Published: July 2024

Lysolipin I is a halogenated, polycyclic xanthone natural product belonging to the polyketide class of antibiotics, naturally produced by Streptomyces violaceoniger TÜ96 and Streptomyces tendae TÜ4042. The biosynthesis is encoded on a 43 kb-spanning biosynthetic gene cluster. Heterologous expression of the gene cluster has been established in previous work by using the cosmid 4H04, which was transferred to Streptomyces albus. In the current study, we demonstrate the optimization of production yields of therapeutically interesting lysolipin derivatives with extended activity against Gram-negatives and less cytotoxic bioactivities, respectively, by using mutated heterologous S. albus producer strains. Production yields were significantly increased by adapting cultivation conditions as well as by inactivating the transcriptional repressor gene llpRI, which lead to increased and consistent lysolipin (derivatives) production. Furthermore, cultivation of a S. albus 4H04∆llpOI mutant strain in bromide-containing fermentation medium resulted in the production of a new brominated lysolipin derivative (C28H20BrNO9).
Study on the formation and dewatering process of the surface filter cake of geotextile on the lateral boundary of geotextile tubes under constant flow grouting
Authors: Sheng Mingqiang , Zhu Qixin , Huang Faming , Zou Chun , Gao Yang , Liu Xinxin
Published: July 2024

In this article, physical model test and numerical simulation are used to study the formation of filter cake and the filtration performance of the geotextile on the lateral boundary of the ultra-fine tailings grouting geotextile tubes from macro and micro levels. At the macro level, the effects of different grouting flow rates and tailings slurry mass concentrations on the surface filter cake formation and the dehydration performance of geotextile on the lateral boundary of the geotextile tubes were analyzed. At the micro level, the use of CFD-DEM method for fluid and particle of two-way coupling numerical simulation research, lateral drainage boundary of superfine tailings in tubes filter cake forming process is analyzed. The research shows that the increase of grouting flow rates and tailings slurry mass concentrations will make the thickness of filter cake great and the structure more compact, which will lead to more serious silting of the surface layer of geotextile and greatly reduce the dehydration performance; The numerical simulation results regularity is consistent with the results regularity of physical model test on the formation of filter cake on geotextile surface of geotextile tubes: the larger the slurry inlet speed and particles concentrations, the more complete the formation of filter cake on geotextile surface, the denser the cake structure, and the less tailings loss. By studying the effects of grouting flow rates and slurry mass concentrations on the surface filter cake formation and tubes dehydration, this article aims to find suitable slurry filling construction conditions and explore the main influencing factors caused by dehydration and consolidation of ultra-fine tailings grouting geotextile tubes, so as to provide some help for the subsequent flocculating of ultra-fine tailings to solve the problem of surface drying and internal wetting of geotextile tubes.
We need targeted policy interventions in the EU to save soil carbon
Authors: Mäkipää R. , Bruun O. , Lehtonen A. , Peltoniemi M. , Kulovesi K.
Published: July 2024

Globally, annual emissions from managed organic soils accounts for up to 5% of all anthropogenic greenhouse gas (GHG) emissions. Climate-wise management and restoration of degraded organic soils could reduce GHG emissions quickly and at relatively low costs. The European Union (EU) Member States that have large areas of organic soils with high GHG emissions are Sweden, Finland, Germany, Ireland, Poland, Netherlands, and the Baltic countries. To meet the climate targets and objectives of the Paris Agreement the land-use sector is indispensable and mitigation policies targeting organic soils will be needed. The international regulatory framework is broad and quite unspecific. In contrast, the European Union has initiated binding regulation for the land-use sector through the EU Climate Law, the EU LULUCF regulation, and the proposed EU Nature Restoration Law. However, even this regulatory approach is not on track to deliver on its binding ambitions, indicating the need for more effective implementation measures also on organic soils in the EU and its member states. Furthermore, we argue that appropriate policy selection should consider current knowledge regarding the climate impacts of management options of organic soils. Lastly, we need more studies on GHG emissions, and standardized methods for GHG inventories, to resolve uncertainties surrounding the impacts of management to GHG emissions. Successful policy implementation requires more efforts but also improved scientific justification through continuous consideration of climate policy integrity and strengthening of the reliability of GHG inventories.
Remote sensing data fusion approach for estimating forest degradation: a case study of boreal forests damaged by Polygraphus proximus
Authors: Illarionova Svetlana , Tregubova Polina , Shukhratov Islomjon , Shadrin Dmitrii , Kedrov Alexander , Burnaev Evgeny
Published: July 2024

In the context of global climate change and rising anthropogenic loads, outbreaks of both endemic and invasive pests, pathogens, and diseases pose an increasing threat to the health, resilience, and productivity of natural forests and forest plantations worldwide. The effective management of such threats depends on the opportunity for early-stage action helping to limit the damage expand, which is difficult to implement for large territories. Recognition technologies based on the analysis of Earth observation data are the basis for effective tools for monitoring the spread of degradation processes, supporting pest population control, forest management, and conservation strategies in general. In this study, we present a machine learning-based approach for recognizing damaged forests using open source remote sensing images of Sentinel-2 supported with Google Earth data on the example of bark beetle, Polygraphus proximus Blandford, polygraph. For the algorithm development, we first investigated and annotated images in channels corresponding to natural color perception—red, green, and blue—available at Google Earth. Deep neural networks were applied in two problem formulations: semantic segmentation and detection. As a result of conducted experiments, we developed a model that is effective for a quantitative assessment of the changes in target objects with high accuracy, achieving 84.56% of F1-score, determining the number of damaged trees and estimating the areas occupied by withered stands. The obtained damage masks were further integrated with medium-resolution Sentinel-2 images and achieved 81.26% of accuracy, which opened the opportunity for operational monitoring systems to recognize damaged forests in the region, making the solution both rapid and cost-effective. Additionally, a unique annotated dataset has been collected to recognize forest areas damaged by the polygraph in the region of study.
Precision oncology revolution: CRISPR-Cas9 and PROTAC technologies unleashed
Authors: Kanbar Karim , El Darzi Roy , Jaalouk Diana E.
Published: July 2024

Cancer continues to present a substantial global health challenge, with its incidence and mortality rates persistently reflecting its significant impact. The emergence of precision oncology has provided a breakthrough in targeting oncogenic drivers previously deemed “undruggable” by conventional therapeutics and by limiting off-target cytotoxicity. Two groundbreaking technologies that have revolutionized the field of precision oncology are primarily CRISPR-Cas9 gene editing and more recently PROTAC (PROteolysis TArgeting Chimeras) targeted protein degradation technology. CRISPR-Cas9, in particular, has gained widespread recognition and acclaim due to its remarkable ability to modify DNA sequences precisely. Rather than editing the genetic code, PROTACs harness the ubiquitin proteasome degradation machinery to degrade proteins of interest selectively. Even though CRISPR-Cas9 and PROTAC technologies operate on different principles, they share a common goal of advancing precision oncology whereby both approaches have demonstrated remarkable potential in preclinical and promising data in clinical trials. CRISPR-Cas9 has demonstrated its clinical potential in this field due to its ability to modify genes directly and indirectly in a precise, efficient, reversible, adaptable, and tissue-specific manner, and its potential as a diagnostic tool. On the other hand, the ability to administer in low doses orally, broad targeting, tissue specificity, and controllability have reinforced the clinical potential of PROTAC. Thus, in the field of precision oncology, gene editing using CRISPR technology has revolutionized targeted interventions, while the emergence of PROTACs has further expanded the therapeutic landscape by enabling selective protein degradation. Rather than viewing them as mutually exclusive or competing methods in the field of precision oncology, their use is context-dependent (i.e., based on the molecular mechanisms of the disease) and they potentially could be used synergistically complementing the strengths of CRISPR and vice versa. Herein, we review the current status of CRISPR and PROTAC designs and their implications in the field of precision oncology in terms of clinical potential, clinical trial data, limitations, and compare their implications in precision clinical oncology.