bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Machine Learning dalam Klasifikasi Kejadian Hujan di Kabupaten Tuban Tahun 2019-2024
Authors: Khoirunnisa Adilla , Putri Natasya Yunita , Raiqhan Kenny Marsell Venezia , Kurniawan Robert
Published: December 2024

Salah satu dampak dari perubahan iklim dan fenomena El Niño adalah kekeringan ekstrem. Kabupaten Tuban, salah satu bagian penting dari sektor pertanian Indonesia, merupakan daerah yang rawan mengalami bencana kekeringan. Sistem pertanian pada wilayah ini sebagian besar menggunakan sistem sawah tadah hujan dengan air hujan sebagai sumber air utama. Sehingga tujuan dari penelitian ini untuk mengetahui model terbaik dalam mengklasifikasikan terjadinya hujan di Kabupaten Tuban. Data yang digunakan adalah curah hujan harian, kecepatan angin rata-rata, arah angin terbanyak, kelembapan rata-rata, lama penyinaran matahari, dan temperatur rata-rata yang diambil dari situs resmi BMKG. Metode yang digunakan dalam penelitian ini meliputi Decision Tree, Naïve Bayes, dan SVM. Berdasarkan hasil perbandingan metode klasifikasi yang dilakukan, model terbaik adalah Naïve Bayes dengan akurasi sebesar 78,06 persen.
Klasifikasi dan Prediksi Kelembapan Udara Optimal Perkembangbiakan Nyamuk Aedes aegypti
Authors: Febiyanti Putri , Triana Elysia Putri Linda , Muhtar Azwar , Kurniawan Robert
Published: December 2024

Salah satu penyakit yang masih menjadi perhatian di Indonesia adalah Demam Berdarah Dengue (DBD). Kota Bandung menjadi daerah dengan kasus DBD terbanyak di Indonesia pada periode Januari-April tahun 2024. Penyakit DBD disebarkan oleh nyamuk Aedes aegypti. Nyamuk tersebut berkembang biak dengan optimal pada kelembapan 70–90 %. Penelitian ini bertujuan untuk melakukan klasifikasi kelembapan udara optimal bagi perkembangbiakan nyamuk Aedes aegypti.  Data yang digunakan bersumber dari BMKG. Terdapat tiga metode yang digunakan dalam pengklasifikasian yaitu Naïve Bayes, SVM, dan Random Forest. Hasil penelitian menunjukkan bahwa SVM dengan kernel polinomial derajat 2 merupakan classifier terbaik untuk klasifikasi kelembapan udara yang optimal bagi perkembangbiakan nyamuk Aedes aegypti di Kota Bandung.
Optimalisasi Ketahanan Pangan: Perbandingan Metode Machine Learning dan Time Series dalam Memprediksi Produksi Padi di Jawa Tengah
Authors: Mita Ni Komang Ayu , Siddiq Muhammad Fajar , Laurnt Anastasia , Erviana Rissa , Kurniawan Robert
Published: December 2024

Abstrak: Ketahanan pangan masih menjadi tantangan bagi Indonesia. Meskipun pemerintah Indonesia telah menjadikan ketahanan pangan sebagai prioritas kebijakan jangka panjang, kekurangan gizi dan kerawanan pangan tetap menjadi permasalahan. Padi menjadi sumber pangan utama bagi lebih dari 50% populasi dunia dan signifikan berkontribusi terhadap ketahanan pangan dunia. Namun, dampak perubahan iklim terhadap hasil panen padi dan keakuratan metode regresi tradisional dalam memprediksi hasil padi masih dipertanyakan. Penelitian ini bertujuan untuk membandingkan metode machine learning (Support Vector Regression dan Random Forest) dan metode time series (SARIMAX) dengan variabel respons produksi padi serta mempertimbangkan variabel prediktor luas lahan, NDWI, suhu, dan curah hujan dengan lokus Jawa Tengah sebagai salah satu provinsi dengan produksi padi tertinggi di Indonesia. Metode Random Forest memberikan hasil terbaik dengan nilai  R2 tertinggi dan MAPE terkecil sebesar 97,6% dan 7,827.
Kata kunci: produksi padi, SVR, RFR, SARIMAX, ketahanan pangan.
Pemetaan Kabupaten Kota di pulau Jawa Berdasarkan Kemiripan Tingkat Kelaparan, Sampah Makanan, dan Tingkat Kemiskinan
Authors: Zhafarina Nadaa , Azzahrah Fatimah , Dienuari Insan , Kurniawan Robert
Published: December 2024

Indonesia menempati negara dengan urutan ke-4 dengan jumlah food waste tertinggi di dunia. Oleh karena itu, dilakukan penelitian dengan tujuan memetakan kabupaten/kota di Pulau Jawa menurut tingkat kelaparan, sampah makanan, dan tingkat kemiskinan. Data yang digunakan dalam penelitian ini berasal dari BPS dan SIPSN. Metode yang digunakan adalah pengelompokkan dengan DBSCAN. Hasil pengelompokkan menunjukkan terbentuknya dua kelompok, yaitu kelompok dengan sampah makanan, kemiskinan, dan PoU rendah serta kelompok dengan sampah makanan, kemiskinan, dan PoU tinggi. Kelompok dengan sampah makanan dan PoU yang tinggi harus lebih menjadi perhatian pemerintah. Kebaikan clustering dinilai dengan average silhouette coefficient sebesar 0,4443 yang menyatakan model baik.
Klasterisasi Wilayah Jabodetabek Berdasarkan Fenomena Urban Heat Island (UHI)
Authors: Rahmawati Iftina Ika , Amalia Gina , Chairunnisa Tiara , Kurniawan Robert
Published: December 2024

Jakarta merupakan wilayah megapolitan di Indonesia yang perkembangannya juga berdampak pada pertumbuhan wilayah di sekitarnya. Jakarta dan wilayah sekitarnya yang dikenal dengan sebutan Jabodetabek mengalami fenomena Urban Heat Island (UHI). UHI merupakan salah satu permasalahan yang timbul akibat banyaknya penduduk yang tinggal di perkotaan sebagaimana wilayah Jabodetabek. Adanya pertumbuhan penduduk di perkotaan menarik peneliti untuk mengamati fenomena UHI melalui perubahan suhu permukaan atau Land Surface Temperature (LST) selama dua dekade terakhir (2004 – 2023) di wilayah tersebut, kemudian melakukan klasterisasi dengan tahun 2023 sebagai tahun observasi pada kecamatan-kecamatan yang termasuk dalam wilayah Jabodetabek berdasarkan variabel yang terkait dengan LST, yaitu Normalized Difference Built-up Index (NDBI), Enhanced Vegetation Index (EVI), dan Modified Normalized Water Index (MNDWI). Metode klaterisasi yang digunakan adalah K-Means dan Fuzzy C-Means. Hasil analisis menunjukkan adanya perubahan suhu permukaan dalam dua dekade terakhir yang ditunjukkan dengan meningkatnya suhu permukaan minimum di Jabodetabek. Sementara hasil klasterisasi diperoleh 4 klaster yang masing-masing memiliki rata-rata suhu permukaan yang berbeda. Jakarta sebagai pusat kawasan aglomerasi dari Jabodetabek memiliki rata-rata suhu permukaan yang tinggi, dengan wilayah yang semakin jauh dari Jakarta memiliki rata-rata suhu permukaan yang rendah.
Algoritma Alternating Least Squares Untuk Mesin Rekomendasi Film
Authors: Zamzami Balqis Dwian Fitri , Pratiwi Aisyah Tiara , Septiani Della , Fitri Yani Nadia , Letare Banurea Yosia , Muthoharoh Luluk , Satria Ardika , Maulida Badri Rizty
Published: December 2024

Abstract:  The entertainment world is inseparable from the rapidly growing movie industry and is accompanied by huge data growth. The rapid growth of data has brought about a new era of information. These data are utilized to build innovative, efficient and more effective systems. This research implements a movie recommendation system using the Alternating Least Squares (ALS) algorithm from Apache Spark MLlib with the MovieLens 25M dataset. A collaborative filtering approach with matrix factorization is used to model user preferences and movie characteristics. The evaluation is done by calculating the Root Mean Squared Error (RMSE) on the test data. The first ALS model with default parameters produced the best RMSE of 0.811671, while the second model with different parameters produced an RMSE of 0.839577. The results show that the ALS model with default parameters is able to provide accurate and relevant movie recommendations according to user preferences
Keywords: Film, Recommendation, Big Data, Alternating Least Square, Pyspark
Abstrak: Dunia hiburan tak terlepas dari industri film yang berkembang sangat pesat dan disertai dengan pertumbuhan data yang sangat besar. Pesatnya pertumbuhan data telah membawa era baru informasi. Data-data ini dimanfaatkan untuk membangun sistem-sistem yang inovatif, efisien dan lebih efektif. Penelitian ini mengimplementasikan sistem rekomendasi film menggunakan algoritma Alternating Least Squares (ALS) dari Apache Spark MLlib dengan dataset MovieLens 25M. Pendekatan collaborative filtering dengan matrix factorization digunakan untuk memodelkan preferensi pengguna dan karakteristik film. Evaluasi dilakukan dengan menghitung Root Mean Squared Error (RMSE) pada data uji. Model ALS pertama dengan parameter default menghasilkan RMSE terbaik sebesar 0.811671, sementara model kedua dengan parameter yang berbeda menghasilkan RMSE 0.839577. Hasil menunjukkan bahwa model ALS dengan parameter default mampu memberikan rekomendasi film yang akurat dan relevan sesuai preferensi pengguna
Kata kunci: Alternating Least Square, Big Data, Film, Pyspark, Rekomendasi
Pengelolaan Sampah Kota Surakarta Dengan Data Mining
Authors: Suryanti Tri , Setyono Prabang , Ramelan Ari Handono
Published: December 2024

Peningkatan volume sampah yang disebabkan oleh pertumbuhan penduduk dan aktifitas ekonomi menjadi permasalahan bagi semua pihak mulai dari hal pelaksanaan di lapangan, tata kelola teknis hingga sudut pandang manajerial. Penelitian ini bertujuan untuk menghasilkan alat bantu untuk mengatasi salah satu permasalahan dalam pendukung pengambilan keputusan yang disebabkan oleh kurangnya alat bantu dalam mengolah data untuk memudahkan dalam mendapatkan pengetahuan. Data volume sampah dalam penelitian ini menggunakan data sampah kota surakarta tahun 2017 sampai dengan tahun 2023. Segmentasi pada data volume sampah tersebut bertujuan untuk mengenali pola sumber penghasil sampah terbesar, sedang dan kecil. Pengetahuan terhadap segmen tersebut dapat digunakan sebagai pendukung dalam pengambilan keputusan strategis pengelolaan sampah kota surakarta. Adanya alat bantu ini, diharapkan pengelolaan sampah dapat menjadi lebih efektif dan efisien, serta memberikan solusi jangka panjang yang berkelanjutan bagi kota surakarta dan generasi di masa mendatang.
Prediksi Multivariate Time Series Parameter Cuaca Menggunakan Long Short - Term Memory (LSTM)
Authors: Tanjung Romadona , Listiani Amalia , Lestari Fuji
Published: December 2024

Cuaca yang tidak stabil dapat mempengaruhi produksi tanaman, salah satunya adalah produksi tanaman pisang yang menjadi komoditas utama di Provinsi Lampung. Penyakit daun pada tanaman pisang akibat cuaca mengurangi produksi dan kualitas buah, sehingga prediksi cuaca penting untuk menjaga produktivitas. Penelitian ini menggunakan data dari stasiun di PT. Great Giant Pineapple yang merupakan salah satu perusahaan besar produksi pisang di Indonesia. Berdasarkan data tersebut akan dibangun model Long Short Term Memory (LSTM) untuk memprediksi parameter cuaca seperti Curah Hujan, Kelembapan Tanah, Suhu Tanah, Konduktivitas Elektrik Tanah, Suhu Tunas Daun, Kecepatan Angin, Tekanan Udara, Suhu Udara, Kelembaban Udara, dan Penyinaran Sinar Matahari secara bersama - sama. Variasi teknik pengisian data kosong (nilai tengah, rata – rata, tetap "0") dan tuning hyperparameter (jumlah neuron, fungsi aktivasi, jumlah epoch, learning rate) dilakukan untuk mendapatkan model terbaik. Model optimal menggunakan 100 neuron, fungsi aktivasi tangen hiperbolik, 100 epoch, learning rate 0,005, dan pengisian data kosong dengan nilai rata – rata menghasilkan RMSE 0,0224. Model LSTM menunjukkan kemampuan baik dalam memprediksi faktor-faktor iklim, namun kurang baik untuk nilai ekstrim. Tanaman pisang menghadapi tantangan utama untuk pertumbuhan optimal. Penerapan sistem irigasi tetes, pengelolaan nutrisi tanah, dan langkah adaptasi lainnya penting untuk memastikan tanaman pisang tetap sehat dan produktif.
Peramalan Kualitas Air Danau Toba Melalui Citra Satelit dengan Model Peramalan Univariat
Authors: Parulian Firman Emmanuel Declarantius , Nur Fatih Hasna Arifah , Gurusinga Wimbi Uelsan , Kurniawan Robert
Published: December 2024

Tujuan penelitian ini adalah melakukan monitoring, membandingkan metode peramalan, dan meramalkan kualitas air Danau Toba. Peramalan dilakukan selama 12 bulan ke depan yang didekati dengan variabel Dissolved Oxygen (DO), pH, Land Surface Temperature (LST), Normalized Difference Turbidity Index (NDTI). Pengambilan data bulanan kualitas air menggunakan citra satelit Landsat 8 dan MODIS. Data diambil pada periode Januari 2014 hingga April 2024. Hasil penelitian menunjukkan keempat variabel kualitas air masih termasuk dalam kategori baik. Metode peramalan yang digunakan adalah SARIMA, Prophet, dan LSTM. Metode terbaik untuk setiap variabel kualitas air Danau Toba untuk DO adalah Prophet, pH menggunakan metode LSTM, dan SARIMA digunakan untuk meramalkan LST dan NDTI. Secara rata-rata RMSE, metode ARIMA/SARIMA merupakan metode terbaik dalam meramalkan variabel-variabel kualitas air Danau Toba. Berdasarkan peramalan 12 bulan ke depan, variabel DO cenderung akan naik. Namun, LST menunjukkan adanya penurunan, sedangkan variabel pH dan NDTI menunjukkan pergerakan yang stagnan.
Analisis Distribusi Kombinasi Spectral Band Value pada Kawasan Taman Nasional Bali Barat
Authors: Aulia Naila Tsamrotul , Muliawati Triyana , Harbowo Danni Gathot
Published: December 2024

Indonesia merupakan salah satu negara yang terletak di garis khatulistiwa dan memiliki iklim tropis. Indonesia memiliki berbagai macam jenis flora maupun fauna oleh karena itu, dibentuklah Taman Nasional untuk menjaga flora dan fauna di habitat aslinya. Pada penelitian ini lokasi yang menjadi tempat penelitian berada di Taman Nasional Bali Barat dimana taman nasional ini berdekatan langsung dengan Pelabuhan Gilimanuk yang sangat ramai karena menjadi penghubung Pulau Jawa dengan Pulau Bali. Pada taman nasional ini juga terdapat tempat destinasi yang sering dikunjungi seperti Pulau Menjangan, Resort Teluk Berumbun, dan Resort Prapat Agung. Adanya kawasan pembangunan dapat mempengaruhi kawasan hijau yang dapat memicu kekeringan. Oleh karena itu, akan diteliti lebih lanjut karakteristik dari keempat area dengan menggunakan analisis spasial kombinasi spectral band value yaitu NDVI, NDWI, NDMI, BSI, dan NDBI. Dari pengolahan parameter tersebut digunakan metode analisis data yaitu regresi linear sederhana. Hasil penelitian menunjukkan bahwa tingkat vegetasi dan kelembaban tanah yang baik pada Teluk Berumbun dan Prapat Agung, tingkat vegetasi kurang baik pada Pulau Menjangan dan tingkat tanah tandus atau area terbangun pada Pelabuhan Gilimanuk.
Implementasi Business Intelligence dengan Platform Tableau untuk Menganalisis Data Kunjungan Wisata di Indonesia
Authors: Mulyani Tri Ayu , Prabowo Agung
Published: December 2024

Indonesia terkenal dengan destinasi wisatanya yang indah, sehingga banyak wisatawan mancanegara yang tertarik untuk datang ke Indonesia. Pariwisata di Indonesia memiliki potensi yang sangat tinggi dalam meningkatkan status ekonomi negara. Pariwisata domestik di Indonesia masih didominasi arus perjalanan wisata di Pulau Jawa. Penelitian ini memanfaatkan sistem Business Intelligence (BI) dengan menggunakan Tableau. Sistem BI tersebut digunakan untuk memvisualisasikan data kunjungan wisata di Indonesia sehingga dapat digunakan untuk mempersingkat waktu dalam proses pengambilan keputusan dalam proses pengolahan dataset. Sedangkang dataset yang digunakan adalah data kunjungan wisata di lima kota besar di Indonesia tahun 2022. Hasil dari penelitian ini berupa dashboard analisis berdasarkan kategori wisata dan dashboard analysis berdasarkan metode berbayar/gratis.
Optimasi Proses Ekstraksi Dan Uji Aplikasi Pewarnaan Kain Menggunakan Pewarna Alami Dari Daun Susupan Gunung (Mimosa pigra L.)
Authors: Zahra Aulia , Mindaryani Aswati , Rahayuningsih Edia
Published: December 2024

Susupan gunung (Mimosa pigra L.) is a weed that grows wild and is often found in peatlands. This plant can grow in tropical and subtropical regions. Phytochemical analysis of the leaves of susupan gunung has shown that the leaves contain tannin compounds, indicating the potential of these leaves to be a source of natural textile dyes. Natural dyes can replace synthetic dyes in the textile industry, which can pollute the environment due to their carcinogenic nature. This research to find the optimal operating conditions for extracting natural dyes from susupan gunung leaves and to test the dyeing quality of cotton fabric using susupan gunung leaf extract. The variables used in the extraction process are temperature, time, and ratio of raw material to solvent volume. The tannin concentration in the extract was analyzed using the volumetric method and optimized using Response Surface Methodology (RSM) with the Box-Behnken model. Fabric dyeing was performed using alum, iron, and calcium as mordants after dyeing the fabric. The result of this research indicate that the optimal operating conditions are at a temperature of 77oC, a time of 40 minutes, and a raw material to solvent volume ratio of 1:8, with a tannin concentration of 0,004 g/ml. The best fabric dyeing quality results were obtained using alum mordant, with a colorfastness rating of 4-5 (good) for washing and a colorfastness rating of 5 (very good)for rubbing.
Eksplorasi Data Craniometry Manusia Indigenous dalam Upaya Pelacakan Pola Biogeografis pada Homo sapiens dengan Menggunakan Metode Complete Linkage Clustering
Authors: Diana Ulfa , Muliawati Triyana , Harbowo Danni Gathot
Published: December 2024

Manusia indigenous merupakan masyarakat adat yang berasal dari berbagai belahan dunia dan memiliki karakteristik yang beragam. Karakteristik dari  manusia indigenous dapat dilihat dari keberagaman bentuk tengkorak. Sehingga diperlukan data pengukuran dimensi tengkorak atau craniometry yang digunakan untuk menganalisis tentang keragaman biologis dan evolusi pada manusia, termasuk manusia indigenous diberbagai wilayah. Untuk menganalisis karakteristik craniometry di setiap wilayah, dapat digunakan ilmu matematika yaitu analisis cluster. Salah satu metode pada analisis cluster adalah complete linkage clustering yang digunakan untuk melakukan pengelompokan terhadap pesebaran dari craniometry berdasarkan pada bagian tengkorak yang diukur. Pada penelitian ini digunakan data sebanyak 2524 sampel dengan 82 variabel pengukuran bagian tengkorak dan tersebar pada 30 populasi dunia. Berdasarkan hasil pengelompokan 2, 4, 6, 8, 10, dan 12 cluster diperoleh hasil bahwa hampir seluruh spesimen di seluruh subregional berada pada setiap cluster yang artinya spesimen memiliki karakteristik ukuran tengkorak yang mirip. Hal ini menunjukkan bahwa terdapat jalur migrasi yang menyebabkan manusia saling berinteraksi sehingga ukuran dan bentuk tengkorak pada setiap subregional cenderung lebih beragam. Selain itu, diperoleh variabel JUB (Bijugal Breadth) atau ukuran dari lebar wajah yang menjadi variabel signifikan atau utama.
Pemetaan Wilayah Aman dan Berkelanjutan dalam Dimensi Lingkungan di Indonesia dengan Pendekatan K-Means Clustering
Authors: A'mal Ikhlasul , Pramesty Ni Putu Lidya , Shaleh Landha Pratiwi , Kurniawan Robert
Published: December 2024

Tujuan ke-11 dalam SDGs adalah menjadikan kota dan pemukiman yang inklusif, aman, tangguh dan berkelanjutan. Karakteristik masing-masing provinsi di Indonesia sangat beragam, namun belum ada informasi mengenai ketercapaian kriteria menuju target tersebut. Dengan berfokus pada target wilayah aman dan berkelanjutan dari perspektif lingkungan, penelitian ini bertujuan untuk melakukan klasifikasi 34 provinsi di Indonesia berdasarkan tiga dimensi, yaitu ketahanan terhadap bencana alam, tingkat pencemaran lingkungan, dan akses terhadap energi serta menganalisis asosiasi antara ketiga dimensi. Data yang diperoleh dari BPS dan Google Earth Engine dianalisis dengan metode K-means clustering dan odds ratio. Hasil penelitian menunjukkan bahwa belum ada provinsi yang sudah tergolong baik pada semua dimensi, 11 provinsi sudah tergolong baik pada 2 dimensi, dan masih ada 2 provinsi yang belum tergolong baik pada dimensi mana pun. Masing-masing dimensi berasosiasi dengan dimensi lainnya, yang diharapkan dapat menjadi pertimbangan dalam pembuatan kebijakan.
Prediksi Gender Username Twitter Indonesia Terkait Otomotif Menggunakan Hierarchical Classification dan BERT
Authors: Ghaisani Syifa , Sutanto Taufik Edy
Published: December 2024

Preferensi dalam industri otomotif seringkali dipengaruhi oleh faktor gender, dengan pria dan wanita menunjukkan kecenderungan yang berbeda dalam memilih jenis, desain, dan fitur kendaraan. Media sosial seperti Twitter telah menjadi sumber informasi yang berharga bagi perusahaan otomotif untuk memahami preferensi konsumen, mengidentifikasi tren pasar, dan merancang strategi pemasaran yang lebih efektif. Penelitian ini menggunakan data dari media sosial Twitter Indonesia dengan fokus pada kata kunci otomotif untuk melakukan prediksi gender pengguna berdasarkan nama pengguna mereka. Dataset yang digunakan terdiri dari 14.805 data berlabel dan 5.443 data uji. Metode yang diterapkan dalam penelitian ini meliputi Hierarchical Classification Heuristic dan Bidirectional Encoder Representations from Transformers (BERT), serta analisis efektivitas pemotongan suku kata melalui proses rekayasa fitur. Selain itu, penelitian ini juga memperkenalkan nameXpander, sebuah metode rekayasa fitur yang mengembangkan representasi nama pengguna dengan memperluas nama pengguna asli menggunakan ekspansi kata-kata berbahasa Indonesia yang umum digunakan. Hasil penelitian menunjukkan bahwa model kombinasi antara BERT dengan nameXpander mencapai akurasi prediksi tertinggi sebesar 90%. Hal ini menegaskan bahwa analisis data media sosial, khususnya melalui kombinasi metode BERT dengan nameXpander, dapat menjadi alat yang efektif untuk memahami dan merespons preferensi gender dalam pasar otomotif.
Implementasi Random Forest dalam Klasifikasi Kasus Stunting pada Balita dengan Hyperparameter Tuning Grid Search
Authors: Khusna Nida Faoziatun , Rahmah Alfidha , Nur Rachmat Kahfian , Izzah Nasyiatul , Chumairoh Kamilah Citra , Fauzi Fatkhurokhman
Published: December 2024

Stunting adalah isu kesehatan yang menjadi perhatian global. Stunting berkaitan erat dengan kondisi pertumbuhan dan perkembangan yang mengalami gangguan disebabkan oleh kekurangan gizi kronis. Untuk mengatasi masalah ini, diperlukan deteksi dini dengan mengklasifikasikan status stunting pada balita. Random Forest adalah sebuah metode klasifikasi yang dikembangkan dari Decision Tree, dapat digunakan untuk mengolah data kesehatan anak dan faktor-faktor terkait guna memprediksi risiko stunting dengan lebih akurat. Dalam penelitian ini, digunakan dataset yang terdiri dari 10.000 baris data, dengan 80% data sebagai data latih dan sebanyak 20% data uji. Diperoleh hasil pemodelan Random Forest dengan akurasi 0.7730. Selanjutnya digunakan optimasi parameter menggunakan Grid Search yang berhasil meningkatkan akurasi model menjadi 0.9578.
Interpolasi Curah Hujan Menggunakan Model Spatial Ordinary Kriging di Kabupaten Tulang Bawang Barat
Authors: Mubarok Husni Na'fa , Septiani Della , Kurnia Muhammad Bagas , Fadilah Hartiti , Putri Helma Lia , Irawati Febri Dwi , Permana Rizki Dimas , Badri Rizty Maulida
Published: December 2024

Curah hujan adalah jumlah hujan (mm) yang turun pada suatu daerah dalam waktu tertentu. Curah hujan ini memiliki dampak signifikan terhadap berbagai aspek kehidupan, termasuk pertanian, pengelolaan sumber daya air, dan mitigasi bencana. Kabupaten Tulang Bawang Barat, yang terletak di Provinsi Lampung, Indonesia, seringkali mengalami variasi curah hujan yang signifikan. Metode yang digunakan dalam melakukan interpolasi yaitu Ordinary Kriging. Penelitian ini bertujuan untuk mengaplikasikan model Spatial Ordinary Kriging dalam interpolasi curah hujan di Kabupaten Tulang Bawang Barat pada periode Januari 2024 - April 2024.  Hasil evaluasi model dengan model Gaussian yang menunjukan RMSE dan R-Squared terbaik yaitu 544924.400 dan 0.813. Peta ini menunjukkan variasi spasial yang signifikan dalam curah hujan di wilayah Tulang Bawang Barat. Bagian utara dan pusat memiliki curah hujan yang lebih tinggi dibandingkan dengan bagian selatan.
Prediksi Harga Beras di Pasar Grosir Indonesia Menggunakan Metode Triple Exponential Smoothing Holt-Winters
Authors: Supriadin Supriadin , Amri Ihsan Fathoni , Al-haris M. , Ninu Maria Febronia , Kamila Kamila , Ghafari Ghafari , Hisani Zahra Aura
Published: December 2024

Beras merupakan makanan pokok bagi sebagian besar masyarakat Indonesia. Maka menjaga stabilitas harga dan pasokan beras merupakan suatu keharusan untuk memperoleh ketahanan pangan, yang menjadi prioritas pertama pada pembangunan nasional. Oleh sebab itu, prediksi harga beras diperlukan untuk menjaga stabilitas harga bahan pangan, karena fluktuasi nilai komoditas dapat menyebabkan inflasi atau deflasi. Metode Triple Exponential Smoothing Holt-Winters digunakan pada penelitian ini untuk meramalkan harga beras. Data yang digunakan pada penelitian ini adalah data harga beras perbulan dari bulan Januari 2018 sampai Desember 2023. Akurasi peramalan diukur dengan Mean Absolute Percentage Error jika dideolasi MAPE. Penelitian ini menunjukkan bahwa pemakaian Metode Triple Exponential Smoothing Holt-Winters memberikan akurasi yang tinggi, dengan rata-rata nilai MAPE sebesar 1,069% untuk Model Aditif dan 1,065% untuk Model Multiplikatif.
Yetişkin Bireylerin Çeşitli Özellikleri ile Gıda Tiksinmeleri Arasındaki İlişki Üzerine Bir Araştırma: Türkiye Örneği
Authors: Alptekin İsmail Mücahit , Canbolat Eren
Published: December 2024

Amaç: Bu çalışmada Türkiye’deki yetişkin bireylerin çeşitli özellikleri ile gıda tiksinme durumları arasındaki ilişkinin incelenmesi amaçlanmıştır.
Bireyler ve Yöntem: Çalışmaya Haziran-Aralık 2023 tarihleri arasında Türkiye’de yaşayan 639 gönüllü yetişkin birey katılmıştır. Katılımcılara 13 adet demografik ve genel bilgi sorusu, 9 adet beslenme alışkanlıklarını belirleyen bilgi sorusu ve 32 sorudan oluşan “Gıda Tiksinme Ölçeğini (Food Disgust Scale-FDS)” içeren anket formu online ortamda uygulanmıştır. Çalışmada elde edilen cinsiyet, yaş, eğitim ve gelir durumu gibi demografik verilerin yanı sıra çeşitli beslenme alışkanlıkları, Beden Kütle İndeksi (BKİ) gibi değişkenler ile gıda tiksinme ölçeği skorları arasındaki ilişki incelenmiştir.
Bulgular: Çalışmaya katılan bireylerin yaş ortalaması 25.8±7.4 yıl olup büyük çoğunluğunu 18-24 yaş aralığında (%66.8), kadın (%77.5) ve bekar (%78.6) bireyler oluşturmaktadır. Yapılan istatistiksel analizde kadınların (p<0.001), 18-24 yaş arası olanların (p<0.05), bekarların (p<0.001), herhangi bir işte çalışmayanların (p<0.05) ölçeğin birçok alt boyutunda ve toplamda gıda tiksinme ölçeği skorları daha yüksek olarak tespit edilmiştir. Daha önce besin zehirlenmesi yaşayanların gıda tiksinme ölçeği skorları daha düşük olarak bulunmuştur (p<0.05). Ayrıca katılımcıların dışarıda yemek yeme sıklığı arttıkça gıda tiksinme ölçeği skorları azalsa da bu durum istatistiksel olarak anlamlı bulunmamıştır (p>0.05). Normal BKİ aralığında olan bireylerin fazla kilolu ve obez bireylere kıyasla daha yüksek gıda tiksinme skoruna sahip olduğu tespit edilmiştir (p<0.05). Son olarak katılımcıların eğitim durumu ve gelir düzeyi ile gıda tiksinmesi arasında anlamlı bir ilişki bulunmamıştır (p>0.05).
Sonuç: Bu çalışmada yetişkin bireylerin çeşitli özelliklerinin gıda tiksinmesi ile ilişkisi incelenmiş olup birçok faktörle gıda tiksinmesi arasında istatistiksel olarak anlamlı ilişkiler bulunmuştur. Gıda tiksinmesinin temelinde birçok neden yatmakla birlikte hijyenik açıdan insan sağlığı için önemli bir savunma mekanizmasıdır. Ancak tiksinme davranışlarını tetikleyen faktörler bireyin yeme bozuklukları ile karşılaşmasına yol açabilir. Bu nedenle beslenme eğitiminin yaygınlaştırılması ve temel düzeyden uygulanması gerekmektedir.
Alasan dan Implikasi Penilaian Ulama’ Hadis Terhadap Pendongeng (Al-Quṣṣās) serta Orang Soleh (Al-Ṣālihīn)
Authors: Yahya Yuniar Indra , Ali Umar , Khamim
Published: December 2024

The storytellers (quṣṣāṣ) and righteous individuals (al-Ṣāliḥīn) are among those who frequently narrate hadiths, but Nawawi in the introduction of Sahih Muslim doubts the authenticity of their narrations, as they are considered to often fabricate hadiths. Therefore, this article will attempt to answer how the criteria for storytellers (quṣṣāṣ) and righteous individuals (al-Shalihin) are viewed by hadith scholars and the implications of both on hadith criticism. Through literature review, whether through classical texts, journals, or relevant books on the topic, the author found that there are two typologies of storytellers: the official storytellers (al-qussas al-rasmi) and the unofficial storytellers (al-qussas tatahwwu’i syakhsyi). Meanwhile, the role of the righteous individuals (al-Ṣāliḥīn) here is portrayed as spreading the fabrications of the storytellers (al-Quṣṣāṣ).
Analisis Fakta Sirah Berkaitan Kelahiran dan Kewafatan Nabi Saw dalam Buku Teks Pendidikan Islam Tingkatan Satu Berdasarkan Manhaj Al-Muḥaddithīn
Authors: Abd Kadir Fadzlan , Shamsudin Roshimah
Published: December 2024

This study is ‎predicated, among other things, on the disclosure of mistakes related to the sirah of Prophet ‎PBUH, which can be partly attributed to a lack of adherence to the strict method of criticism. ‎Furthermore, several prior analyses and critiques of textbooks demonstrate that there is no ‎guarantee that textbooks are error-free, even when it comes to the subject of sirah. Therefore, ‎this study attempts to analyze the facts of the sirah related to the birth and death of the Prophet PBUH using the muḥaddithīn’s methodology as a ‎reliable method. The study focuses on the content of sirah ‎in the Form One Islamic Education textbook. The method for data collection employed in ‎this study was library research. The data was then analyzed using the ‎inductive and comparative methods, as well as the method of the muḥaddithīn. The study discovered that the facts concerning the birth and death of the Prophet Muhammad (PBUH) vary, based on authentic hadiths, well-known opinions, agreed-upon facts, as well as facts that lack support from authentic hadiths. Furthermore, certain ‎narrations are accepted even though they are not backed up by an authentic narrative when ‎there is consensus among the scholars. Additionally, the study discovered that the analysis of the facts in the textbook yielded results that indicated both a high degree of factual accuracy and some facts that needed to be reviewed and corrected. These findings call for the attention ‎and action of pertinent parties to guarantee the highest standards of education.
Hakikat Bidaah Hasanah dan Sayyi’ah Menurut Ahli Akademik di IPTA Malaysia
Authors: Abdul Halim Amran
Published: December 2024

This paper aims to explore the perspectives of academic scholars on Imam al-Shafi'i's categorization of bidaah into hasanah (good) and sayyi'ah (bad). The selected scholars are from the Academy of Islamic Studies at Universiti Malaya, Universiti Kebangsaan Malaysia, Universiti Sains Islam Malaysia, and Universiti Islam Antarabangsa, representing various fields within Islamic Studies. The research employs a survey method, specifically using cluster sampling. The author distributed the survey forms to academic staff at these universities. Based on the descriptive analysis of the survey results, it can be concluded that the scholars possess a strong understanding of hadith and the concept of bidaah. They also perceive that the study of hadith is insufficiently emphasized within society. Analyzing the overall responses, particularly regarding the concept of bidaah as derived from the hadiths of Kutub al-Tis'ah, their views align closely with those of scholars such as al-Nawawi, al-Syatibi, Ibn Hajar al-‘Asqalani, and others. Consequently, these scholars are well-positioned to serve as references for the community in addressing issues related to bidaah, particularly those specializing in hadith. It is hoped that this paper will provide guidance to educators, institutions, religious departments, and others in contributing valuable knowledge to the Muslim community, enhancing their understanding of the hadith of the Prophet Muhammad (SAW), applying these teachings in their lives, and clarifying any confusion or misunderstandings regarding Imam al-Shafi'i's categorization of bidaah.
Development of the public authority and business partnership under the conditions of digitalization
Authors: Yurchenko Kristina
Published: December 2024

The issue of partnership and cooperation between public authorities and business is one of the modern trends in the conditions of digitization of society. The article reveals the relevance of this issue, which is due to the latest trends in the activity of political and economic systems of states. The works of foreign scientists were analyzed, which shed light on the issue of partnership between public authorities and business. It is noted that the provision of services by public authorities is improving in modern conditions. Digitalization promotes the development of e-government, and digital government promotes cooperation with business. The need for digital transformation of the activities of public authorities is due to 279 both external and internal challenges. Partnership between public authorities and business is revealed through three dimensions — political, economic and social. The main areas of partnership between public authorities and business are defined and the open problems faced by such a partnership. The main result of digitalization in partnership relations of public authorities and business is shown through efficiency, impact and consequence. Shown characteristic of the value of digitization in the development of partnership between public authorities and business. Suggested the main directions for improving the partnership between public authorities and business and measures as a tool of partnership between public authorities and business, which increases efficiency and effectiveness.
Formation of an Open Information Environment for Monitoring the Results of R&D of Scientific and Educational Institutions Subordinate to the Ministry of Agriculture of Russia
Authors:   Rosinformagrotech”, Chavykin Yu.I. , Naumova L.M. ,   Rosinformagrotech
Published: December 2024

The article deals with the information services of the database in the form of open digital environment to monitor and record the results of intellectual activity (RIA). The principles of operation of the information services of the DB for systematization and extraction of data for analytical processing are presented, possible ways of integrating several databases are proposed. The industry RIAs were analyzed with the use of the developed information services, the results of the analysis were presented. The structure of the unified open information platform to systematize and analyze the results of the R&D of scientific and educational institutions subordinate to the Ministry of Agriculture of Russia is proposed.
Evaluation of the Surface Condition of the Electrodeposited Coatings Obtained Using hard Alloys Dispersed by Electrical Erosion
Authors:   Southwestern State University, Ageeva E.V. , Serebrovsky V.I. ,   Kursk State Agrarian University named after I.I. Ivanov, Sernikova O.S. ,   Kursk State Agrarian University named after I.I. Ivanov
Published: December 2024

The article presents the results of experimental studies of the surface condition of the electrodeposited coatings obtained using hard alloys dispersed by electrical erosion. The average value of the microhardness of the obtained coatings is 0.726 GPa, and the surface roughness parameter Ra is 2.14 μm. The experimental studies of the surface properties of coatings obtained by introducing into the solution strengthening additives in the form of finely dispersed hard alloy electrical erosion powder will make it possible to determine the most rational area of their practical application.
Results of the Assessment of Maximum Ground Pressure Levels of the Wheel Systems of Trucks
Authors:   Rosinformagrotech, Revenko V.Yu. , Skorlyakov V.I. ,   Rosinformagrotech
Published: December 2024

The article presents the results of an experimental assessment of the maximum pressure on the soil of the wheel systems of the trucks operating as part of a harvesting and transport unit during the harvesting of winter wheat in the central zone of the Krasnodar Territory. The share of vehicle tracks with an excessive impact on the soil from the total area of the harvested field was determined through the use of a satellite monitoring system.
Technologies of Accelerated Propagation of Initial Seed Material from in vitro Micro Plants on the Biotechnological Module AGM-60
Authors:   Federal Research Center of Potato named after A.G. Lorkh, Khutinaev O.S. , Shchegolikhin T.A. ,   Rosinformagrotech, Manokhina A.A. ,   RGAU - MSHA named after K.A. Timiryazev
Published: December 2024

The device for growing plants without using soil in a water-air nutrient medium for mass replication of healthy minitubers of potatoes is presented which allows to increase the planting density to 60 plants per 1 m2, the multiplication coefficient - up to 50 or more tubers per plant, the yield of tubers - up to 3000 pcs/m2 and more. In the absence of the substrate it becomes possible to actively influence the growth-stimulating characteristics of the grown plants and control metabolic processes, apply a differentiated nutrition regime to control of plant development by phases.
Pengaruh Perencanaan Pajak, Asimetri Informasi Dan Beban Pajak Tangguhan Terhadap Manajemen Laba
Authors: Aura Azzahra  , Vita Aprilina
Published: December 2024

ABSTRAK
Analisis disini memiliki arah yang menunjukkan pengaruh dari perencanaan pajak, asimetri informasi dan beban pajak tangguhan pada manajemen laba atas perusahaan bidang consumer non cyclicals yang tercantum dalam Bursa Efek Indonesia (BEI) dalam ambang 2020-2022. Metode yang digunakan pada analisis ini ialah metode dari kuantitatif. Sampel pada analisis ini menerapkan metode purposive sampling, dengan populasi yang terdapat di perusahaan bidang consumer non cyclicals pada Bursa Efek Indonesia dalam ambang 2020-2022. Berdasarkan perolehan dalam analisis ini, menyatakan perencanaan pajak memiliki pengaruh positif kepada manajemen laba, asimetri informasi dan beban pajak tangguhan tidak memiliki pengaruh kepada manajemen laba.
Kata kunci: perencanaan pajak, asimetri informasi, beban pajak tangguhan, manajemen laba.
Türkçe Öğretmenlerinin Eleştirel Düşünme Eğilimleri, Öğretim Yeterlikleri Ve Uygulama Düzeyleri
Authors: Duman Demet , Koç Mustafa
Published: December 2024

Bu çalışmanın amacı ortaokullarda görev yapan Türkçe öğretmenlerinin eleştirel düşünme eğilimleri, öğretim yeterlikleri ve bu yönde öğretim uygulama düzeyleri arasındaki ilişkiyi ortaya çıkarmaktır. Çalışma nicel araştırma yöntemlerinden biri olan korelasyonel model (ilişkisel tarama modeli) ile desenlenmiştir. Araştırmanın çalışma grubunu 2023-2024 eğitim-öğretim yılı güz döneminde Türkiye’nin çeşitli yerlerindeki kamuya bağlı ve özel okullarda görev yapan ve araştırmaya gönüllü olarak katılmayı kabul eden 112 öğretmen oluşturmuştur. Veriler kişisel bilgi formu ve alanyazından elde edilmiş ölçeklerden oluşturulmuş anket formu ile toplanmıştır. Araştırma sonucunda katılımcıların eleştirel düşünme eğilimleri, öğretim yeterlikleri ve uygulama düzeylerinin yüksek olduğu ve birbirleriyle pozitif yönde orta ve yüksek düzeyde anlamlı ilişkili olduğu görülmüştür. Eleştirel düşünme eğilim düzeylerinde cinsiyete, kıdeme ve eleştirel düşünme hakkında eğitim alma durumuna göre anlamlı farklılık bulunamamıştır. Ayrıca eleştirel düşünme öğretimi yeterlik düzeyinde ve eleştirel düşünme uygulama ölçeği puanlarında kıdem ve eleştirel düşünme hakkında eğitim alma durumuna göre anlamlı bir fark bulunmazken eleştirel düşünme öğretim yeterlik düzeyinde ve uygulama düzeyi ölçeğinin öğretim ortamı boyutunda kadın öğretmenler lehine anlamlı farklılıklar tespit edilmiştir.
Utilization of basic diabetes mellitus services among adult patients with diabetes mellitus at Mbarara Regional Referral Hospital diabetes clinic, Uganda: a cross-sectional study
Authors: Muramuzi Dan , Mugambe Richard , Muteebwa Laban , Albert Ipola Patrick , Nduhukyire Lawrence , Nnannyanzi Claire , Mukose Aggrey David
Published: December 2024

Background

Utilization of diabetic care services remains a challenge among adult patients in low- and middle-income countries. Optimal utilization of diabetic care services could reduce morbidity and mortality and delay the development of long-term complications. This study assessed the utilization of basic diabetic care services and associated factors among diabetes mellitus patients at Mbarara Regional Referral Hospital in Western Uganda.

Methods

We enrolled 208 patients with either type 1 or 2 diabetes mellitus in a cross-sectional study between June and August 2022 at Mbarara Regional Referral Hospital, Uganda. Consecutive sampling was used to select patients with diabetes mellitus who attended the diabetes clinic based on their scheduled date of appointment. Optimal utilization of basic diabetic services was defined as receiving at least three of the four core services: health education, assessment of vital signs (blood sugar, blood pressure, and body mass index), assessment of diabetic complications, and diabetic drug refills. Modified Poisson regression analysis was used to assess the determinants of utilization of basic diabetic services in STATA version 14.0.

Results

Three-quarters of the study participants were female patients (75.0%), and the median (inter-quartile range, IQR) age was 52 (43, 56). Moreover, 62.0% [95% confidence interval (CI): 55.3–68.7] self-reported to have utilized basic diabetic care services. In the adjusted analysis, waiting longer than 120 min to receive any service [adjusted prevalence ratio (aPR) 0.46, 95% CI 0.27–0.80), being 45–54 years old (aPR 1.48, 95% CI:1.11–1.98), and being 55–60 years old (aPR, 1.38, 95% CI: 1.02 1.86)] were significantly associated with the utilization of basic diabetic care services.

Conclusion

Utilization of basic diabetic care services among adult patients remains sub-optimal. Age and waiting time were significantly associated with the utilization of diabetic care services. Interventions should be directed toward shortening the waiting time in service delivery at diabetes clinics.
The role of DNA methylation in placental development and its implications for preeclampsia
Authors: Meng Yizi , Meng Yimei , Li Linli , Li Yuan , He Jin , Shan Yanhong
Published: December 2024

Preeclampsia (PE) is a prevalent and multifaceted pregnancy disorder, characterized by high blood pressure, edema, proteinuria, and systemic organ dysfunction. It remains one of the leading causes of pregnancy complications, yet its exact origins and pathophysiological mechanisms are not fully understood. Currently, the only definitive treatment is delivery, often requiring preterm termination of pregnancy, which increases neonatal and maternal morbidity and mortality rates, particularly in severe cases. This highlights the urgent need for further research to elucidate its underlying mechanisms and develop targeted interventions. PE is thought to result from a combination of factors, including inflammatory cytokines, trophoblast dysfunction, and environmental influences, which may trigger epigenetic changes, particularly DNA methylation. The placenta, a vital organ for fetal and maternal exchange, plays a central role in the onset of PE. Increasing evidence suggests a strong association between DNA methylation, placental function, and the development of PE. This review focuses on the impact of DNA methylation on placental development and its contribution to PE pathophysiology. It aims to clarify the epigenetic processes essential for normal placental development and explore potential epigenetic biomarkers and therapeutic targets for PE. Such insights could lead to the development of novel preventive and therapeutic strategies for this condition.
Swine IFN cocktail can reduce mortality and lessen the tissue injury caused by African swine-fever-virus-infected piglets
Authors: Jiang Yitong , Jiang Fei , Zhai Wenzhu , Huang Ying , Pang Zhongbao , Tao Chunhao , Wang Zhen , He Yuheng , Chu Yuanyuan , Zhu Hongfei , Wu Jiajun , Jia Hong
Published: December 2024

African swine fever (ASF), a highly virulent viral infection, poses a significant threat to the global pig industry. Currently, there are no commercially available vaccines against ASF. While the crucial role of interferon (IFN) in combating viral infections is well-established, its impact on the clinical signs and mortality rates of ASF remains unclear. In this study, swine IFN-α2, IFN-γ, and IFN-λ3 were fused with the Fc segment of immunoglobulin G (IgG) and expressed in mammalian cells (293T), and the antiviral efficacy were detected by VSV-3D4/2 and VSV-PK15 systems. Then, the interferon stimulating genes (ISGs) induced by IFNs-hFc in 3D4/2 cells were determined by qRT-PCR. Also, the preventive potential of the interferon (IFN) cocktail (a mixture of IFNα2-hFc, IFNγ-hFc, and IFNλ3-hFc) were evaluated in vivo by 25-day-old piglets. The results showed that the specific activities of IFNα2-hFc, IFNγ-hFc, and IFNλ3-hFc were 2.46 × 107 IU/mL, 4.54 × 109 IU/mL and 7.54 × 1010 IU/mL, respectively. The IFN-hFc significantly induced the expression of various IFN-stimulated genes (ISGs) in 3D4/2 cells after IFNs-Fc treatment, including IFIT5, Mx1, OASL, ISG12, STAT1, IRF1, PKR, CXCL10, and GBP1. Furthermore, the IFN cocktail treatment reduced the viral load, delayed death, and reduced tissue injury in the piglets infected with ASF virus (ASFV). in conclusion, these results suggest that the IFNs-hFc showed high anti-viral activity, and the IFN cocktail may be potential for the prevention and treatment of ASF.
Correlation between thrombocytopenia and adverse outcomes in patients with atrial fibrillation: a systematic review and meta-analysis
Authors: Ding Qiuhua , Xu Wenlin , Chen Yaoyao , Chang Sijie , Zhang Jinhua
Published: December 2024

Background

Thrombocytopenia is often associated with adverse outcomes in patients with atrial fibrillation. Therefore, we conducted a meta-analysis to comprehensively assess the impact of thrombocytopenia on ischemic stroke/systemic embolism, major bleeding and all-cause mortality in patients with atrial fibrillation.

Methods

Two electronic databases, PubMed and Web of Science, were systematically searched from their inception to December 1, 2023, including the studies on the correlation between atrial fibrillation patients with thrombocytopenia and adverse outcomes. Relevant data was extracted, literature quality was evaluated, meta-analysis was performed by using REVMAN 5.4 software, and the results were reported with odds ratio (OR) of 95% confidence interval (CI).

Results

A total of 12 studies included 73,824 patients with atrial fibrillation (average age: 72.67, males: 42,275, 57.3%), among them, there were 7,673 patients combined with thrombocytopenia. The average follow-up time of these studies was 87 days to 55 months. Compared to no thrombocytopenia, atrial fibrillation patients combined with thrombocytopenia have a significant risk reduction of ischemic stroke/systemic embolism [OR: 0.79, 95% CI: (0.69, 0.91); P < 0.01]. Nevertheless, the risk of both major bleeding [OR: 1.51, 95% CI: (1.20, 1.79), P < 0.01] and all-cause mortality [OR: 1.40, 95% CI: (1.23, 1.61); P < 0.01] is significantly higher in thrombocytopenia group.

Conclusions

Thrombocytopenia has an important impact on the prognosis of patients with atrial fibrillation. Thrombocytopenia is significantly associated with a lower risk of ischemic stroke/systemic embolism but a higher risk of major bleeding and all-cause mortality. Attention to thrombocytopenia and optimization of treatment may be the effective way to improve the prognosis of atrial fibrillation with thrombocytopenia.

Systematic Review Registration

https://www.crd.york.ac.uk/, PROSPERO Registration Number: (CRD42023459916).
Case Report: A novel method of needle-free transseptal puncture
Authors: Lee Chia-Chen , Chao Chen-An , Chang Su-Huan , Chen Chun-Kai , Chen Yen-Siou , Lin Chang-En , Jeng Tsung-Ping , Yu Chih-Chieh
Published: December 2024

Background

In the era of fluoroless catheter ablation (CA), achieving a successful transseptal puncture (TSP) presents a significant challenge. We introduce a novel technique for zero-fluoroscopy and cost-effective needle-free TSP.

Case summary

We describe two cases where a GMS-1 guidewire (0.025 inch, pigtail configuration; Toray Medical Co., Ltd., Japan) was utilized for TSP. This technique was performed using either fluoroscopy or intracardiac echocardiography (ICE). The procedure was completed successfully in both cases, with no complications reported.

Conclusion

The use of a 0.025 inch GMS-1 guidewire with an electrocautery technique enables effective transseptal puncture without the need for a needle or fluoroscopy. This novel approach offers a safe, efficient, and zero-fluoroscopic alternative for TSP.