bluuebunny/crossref_metadata_2025_split huggingface dataset:
APLIKASI DIGITAL MEDULA (MEDIKASI UNTUK LUKA) SEBAGAI PANDUAN PERAWATAN LUKA DI RUMAH
Authors: Faradisi Firman , Wirotomo Tri Sakti , Fijianto Dwi 
Published: July 2024

Setiap tahun angka pembedahan tinggi dan pembedahan ini tentunya meninggalkan luka post operasi. Luka post operasi memerlukan perawatan yang maksimal dan terjaga sterilitasnya, dikarenakan akan mempengaruhi percepatan penyembuhan luka. Selain luka post bedah, pasien dengan ulkus diabetes juga banyak ditemukan dan memerlukan medikasi luka yang berkelanjutan. Permasalahan yang muncul adalah beberapa pasien memilih melakukan perawatan luka mandiri di rumah karena berbagai hal (biaya, waktu, dll), namun belum memahami perawatan luka yang benar, sehingga melakukan perawatan mandiri seadanya.Penelitian berfokus pada new mobile application berupa aplikasi digital MEDULA (Medikasi Untuk Luka) sebagai panduan keluarga dalam merawat luka post pembedahan dan luka ulkus diabetes di rumah. Hasil penelitian berupa media digital panduan perawatan luka. Tujuan penelitian ini untuk mengetahui apakah penggunaan aplikasi digital ini membantu dalam proses perawatan luka di rumah, penurunan luas luka pada ulkus dan munculnya tanda infeksi pada luka bedah. Metode: Quasi eksperimen, dengan pre-test dan post-test tanpa kelompok kontrol. Teknik pengambilan sampel menggunakan accidental sampling dan didapatkan sejumlah 18 responden. Uji parametrik t-test digunakan untuk analisis data penelitian. Hasil: Terdapat perbedaan signifikan dengan p value 0,000 terhadap nilai luas luka ulkus diabetikum sebelum dan sesudah perawatan luka mengikuti aplikasi MEDULA. pada luka post pembedahan juga tidak muncul adanya tanda-tanda infeksi dan total 18 responden menjawab aplikasi MEDULA bermanfaat dalam perawatan luka mandiri. Hasil penelitian ini ditemukan perbaikan luka ulkus diabetikum dan tidak muncul tanda infeksi pada luka post bedah setelah melakukan perawatan luka mandiri dengan mengikuti aplikasi MEDULA. Simpulan: aplikasi MEDULA ini bermanfaat untuk membantu perawatan luka mandiri dan terbukti terjadi penurunan luas luka ulkus dan tidak muncul tanda infeksi pada luka post bedah. Aplikasi MEDULA ini dapat direkomendasikan untuk pasien ulkus diabetikum dan post bedah yang ingin merawat luka mandiri di rumah.
PERANCANGAN STRATEGI PEMASARAN UKM FAUZI MENGGUNAKAN METODE MARKETING MIX DAN SWOT
Authors: Betanursanti Ida 
Published: July 2024

This research aims to formulate a marketing strategy for Fauzi UMKM bolen cakes so that the company can survive and develop using a Marketing Mix and SWOT analysis. Using optimal marketing strategies is the right step to achieve this goal. SWOT analysis is used to analyze a company's strengths, weaknesses, opportunities, and threats so that the company's position can be determined using IFAS and EFAS analysis. The results of this research show that the IFAS matrix has a score of 0.15, and the EFAS has a score of 0.44. At these coordinates, the company's position is in quadrant I. The appropriate marketing strategy is to use an S-O strategy (strengths and opportunities) where the company uses an aggressive strategy in its marketing. Based on the company's position, the appropriate marketing strategy is to increase production and add flavor variants, maintain prices and provide purchase bonuses, open the official stores, and open branches, and utilize existing social media such as WhatsApp, Instagram, and YouTube.
OPTIMALISASI SISTEM PELAPORAN KEBUTUHAN SPAREPART BERBASIS APLIKASI UNTUK KEGIATAN PREVENTIVE MAINTENANCE DI AREA KALIMANTAN SELATAN
Authors: Manurung Vuko Arief Tua , Irawan Danu , Wanda Wanda , Wibowo Eko Ari 
Published: July 2024

Preventive maintenance merupakan kegiatan pencegahan terjadinya kerusakan pada unit atau kendaraan dengan melakukan item-item perawatan harian seperti pemeriksaan oli, pemberian pelumasan pada komponen tertentu, testing dan adjusting. Kegiatan pendampingan Pemeriksaan dan Perawatan Harian mekanik di PT XYZ belum memberikan dampak yang signifikan, salah satu penyebabnya adalah kebutuhan suku cadang untuk rencana perbaikan unit belum diketahui secara rinci oleh supervisor. Penelitian ini bertujuan untuk melakukan perbaikan terhadap sistem pelaporan kebutuhan sparepart yang masih menggunakan kertas sebagai media pencatatan menjadi metode digitalisasi pencatatan kebutuhan sparepart berbasis aplikasi.
RANCANG BANGUN SISTEM PEMANTAUAN DATA PENGUJIAN PERFORMA TRANSMISI KOMATSU HD785-7 PADA MESIN MARUMA MH-125D BERBASIS MICROCONTROLLER
Authors: - Leo Setiawan 
Published: July 2024

PT X merupakan salah satu perusahaan di bidang industri alat berat yang berdomisili di Balikpapan Kalimantan Timur. Bidang alat berat yang dimaksud ada remanufaktur komponen alat berat. Salah satu komponen alat berat yang diremanufaktur adalah transmisi. Transmisi alat berat yang menjadi objek penelitian kami adalah Torqflow Transmission Komatsu HD785-7 dengan menggunakan alat uji performa Maruma MH-125D. Dengan alat ini transmisi dikondisikan layaknya transmisi yang dipasang di unit alat berat, transmisi diputar 1200-1950 RPM dan diberikan tekanan oli hidrolik 1,7-33,5 kg/cm2. Adapun nilai rpm dan tekanan oli hidrolik tersebut merujuk pada nilai standar yang tercantum pada Shop Manual Komatsu HD465-7. Untuk pengukuran tekanan oli yang diberikan ke transimisi masih menggunakan analog pressure gauge. Sehingga hasil ukur harus dicatat secara manual, operator harus terus mengamati setiap perubahan jarum pressure gauge, mencatat tekanan minimum dan maksimum. Pada akhirnya akuisisi data secara manual, ini dinilai tidak efisien. Sehingga diperlukan cara mengakuisisi data secara digital agar analisis data sampai dengan penyajian data berupa testing report dapat lebih cepat dan akurat.
EFFECTIVENESS OF PREBIOTICS ADMINISTRATION IN CHILDREN UNDER FIVE WITH DIARRHEA
Authors: Wakhidah Nur , Rahmadhani Wulan , Sarwono Sarwono 
Published: July 2024

Background: Diarrhea in children under five is caused by viral and bacterial infections in the digestive tract system characterized by liquid feces, frequent bowel movements or more than 3 times a day, and accompanied by both blood and mucus or just one of them. Method: This study used a literature review method to collect data related to the effectiveness of prebiotics administration in children under five with diarrhea. Articles or journals were obtained from some databases, both national and international such as Google Scholar and Research Gate. Search for articles using keywords of "effectiveness", "children under five diarrhea" and "prebiotic administration". Results: Based on the results of a review conducted on 10 articles, 7 articles revealed that the administration of prebiotic bacteria and yogurt containing prebiotics and plain yogurt (non-prebiotics) could reduce the frequency and duration of diarrhea as well as prevent diarrhea in children. However, some other articles stated that there was no significant difference between the group given prebiotics and the control group without given prebiotics.
APPLICATION OF REPRODUCTIVE HEALTH MONOPOLY GAME MEDIA TO INCREASE KNOWLEDGE ABOUT THE KRR TRIAD (SEXUALITY, HIV/AIDS AND DRUGS) AT PMB YUSTIN TRESNOWATI
Authors: Rahmadhani Wulan , Hamidah Talita Khairunnisa Jihan 
Published: July 2024

Background: Adolescents are vulnerable to reproductive health problems. The problem of HIV/AIDS and Narcotics, Psychotropic, and Addictive Substance Abuse (NAPZA) in adolescents has not been properly resolved, even though the government has made both formal and informal efforts. Adolescents aged 10-17 years are eligible to receive early reproductive health education using suitable media. "Reproductive Health Monopoly Game About three risks faced by Adolescents (TRIAD KRR)" is designed for adolescents to increase their reproductive health knowledge. Monopoly games provide opportunities to play monopoly games that continuously educate the player to try, imitate, and apply it. Objective: This study aims to determine the effect of the Monopoly Game on Reproductive Health knowledge about the TRIAD KRR in adolescents; Method: This qualitative descriptive study used a case study design. Data were obtained from questionnaire scores. This study involved 5 adolescents aged 16-18 years as respondents. The instruments used were pre-test and post-test questionnaires;Results: The use of the Reproductive Health Monopoly Game about the TRIAD KRR managed to increase adolescents knowledge about the TRIAD KRR with the good category;Conclusion: Monopoly game media can help increase adolescents' knowledge about reproductive health, particularly the TRIAD KRR;
COMBINATION OF PERINEUM MASSAGE AND PELVIC ROCKING TO REDUCE THE OCCURRENCE OF RUPTURE PERINEUM
Authors: Novyriana Eka 
Published: July 2024

Background: In Asia, perineal lacerations are quite a problem in society, 50% of perineal ruptures occur in the world. Maternity mothers who experience perineal lacerations in Indonesia at the age of 25-30 years is 24%, while for mothers aged 32-39 years it is 62%.Objective: Applying Perineal Massage and Pelvic Rocking to reduce the incidence of rupture perinealMethod: This study uses descriptive research, data collection techniques in the form of primary and secondary data. Participants in this care were pregnant women with a gestational age of more than 36 weeks, a total of 3 participantsResult: After applying perineal massage and pelvic rocking, there was an effect of perineal massage and pelvic rocking on the occurrence of rupture perinealConclusion: From the results of applying perineal massage and pelvic rocking to the three participants, none of them experienced perineal rupture.
PELATIHAN PEMANFAATAN MEDIA PEMBELAJARAN DIGITAL BERBASIS GAME DAN ARTIFICIAL INTELEGENCE BAGI GURU-GURU SEKOLAH DASAR DI KECAMATAN CUGENANG
Authors: Nurviyani Vina , Helmie Jauhar , Kurniawati Nia , Halimah Halimah , Maolida Elis Homsini , Saepuloh Asep , Salsabila Vina Aini , Sofarini Anisa , Rahman Reza , Azhar Muhammad Helmi , Utama Gina Nanda , Nasrullah Muhamad Lifadhli 
Published: July 2024

Dalam merencanakan, melaksanakan, dan menilai pembelajaran yang efektif, setiap guru sekolah dasar harus memiliki kompetensi pedagogik. Namun, hasil temuan dari beberapa riset menunjukan bahwa banyak guru sekolah dasar yang membutuhkan peningkatan keterampilan dan pengetahuan yang memadai dalam menggunakan media pembelajaran digital sebagai bagian dari kompetensi pedagogik selama proses pembelajaran. Hal tersebut selaras dengan hasil analisis kebutuhan di Kecamatan Cugenang yang menunjukan bahwa kompetensi pedagogik yang dimiliki guru-guru sekolah dasar di Kec. Cugenang, khususnya dalam pemanfaatan media pembelajaran digital, perlu ditingkatkan. Salah satu upaya untuk mengatasi hal tersebut adalah pelaksanaan pelatihan pemanfaatan media pembelajaran digital bagi guru-guru sekolah dasar di Kec. Cugenang. Pelatihan tersebut bertujuan untuk meningkatkan kompetensi pedagogik guru-guru sekolah dasar di Kecamatan Cugenang terutama kemampuan dalam memanfaatkan teknologi untuk proses pembelajaran. Pelatihan tersebut dilaksanakan melalui webinar dengan melibatkan 214 guru-guru sekolah dasar yang berasal dari 50 sekolah dasar di Kec. Cugenang, Cianjur. Penyelenggaraan pelatihan tersebut dilakukan dalam tiga tahapan, yakni 1) persiapan pelatihan, 2) pelaksanaan pelatihan, dan 3) evaluasi pelatihan. Berdasarkan data yang diperoleh dari observasi selama webinar dan kuisioner yang diisi oleh semua partisipan, hasil menunjukan bahwa penyelenggaraan pelatihan tersebut memberikan inspirasi serta memperluas wawasan para guru sekolah dasar di Kec. Cugenang tentang pemanfaatan media pembelajaran digital berbasis game dan artificial intelligence untuk mengoptimalkan kompetensi pedagogik yang mereka miliki serta untuk mengeefektifan proses belajar mengajar.
Studi Korelasi Pengetahuan Kesehatan Gigi dan Mulut dengan Kejadian Periodontal pada Masyarakat
Authors: Anggraini Devita Anugrah , Galaresa Achmad Vindo , Nilasari Elsa 
Published: July 2024

Latar Belakang: Kesehatan mulut dan gigi dapat menyebabkan dampak negatif terhadap perkembangan dan kualitas hidup. Kebersihan mulut dan gigi menyebabkan terjadinya kalkulus dan peradangan pada gusi sehingga menyebabkan penyakit Periodontal. Keberhasilan menjaga kesehatan gigi dan mulut dapat tergantung pada pengetahuan masyarakat sekitar. Tujuan penelitian: untuk mengetahui hubungan pengetahuan tentang kesehatan gigi dan mulut dengan kejadin Periodontal di desa jatigembol kecamatan kedunggalar kabupaten Ngawi. Metode penelitian: Jenis korelasi dengan desain Cross sectional. Teknik sampling menggunakan Simple Random Sampling dengan jumlah seluruh sampel 82 orang. Analisa dengan menggunakan uji statistik Chi Square dengan progam SPPS Hasil: Sebagian besar Masyarakat terjadi periodontal dengan total responden 47 (57,3%) sedangkan Masyarakat yang lain tidak terjadi periodontal dengan jumlah 35 responden dengan presentase 42,7 %. yang berarti ada hubungan antara pengetahuan kesehatan gigi dan mulut dengan kejadian penyakit Periodontal di Desa Jatigembol Kecamatan Kedunggalar Kabupaten Ngawi. Kesimpulan: Sebagian besar masyarakat di Desa Jatigembol Kecamatan Kedunggalar Kabupaten Ngawi mengetahui kejadian penyakit Periodontal. Menjaga kesehatan gigi dan mulut itu sangat penting karena untuk mencegah terjadinya penyakit periodontal.
Pemilihan Paket Wisata One Day Tour Menggunakan Model Pendukung Keputusan TOPSIS
Authors: Singgalen Yerik Afrianto 
Published: July 2024

The development of Labuan Bajo tourism attracts foreign and domestic tourists to explore various natural beauties through fun activities. Tour agents provide a variety of interesting activities and tourist visits to the islands around Labuan Bajo that can provide new experiences for tourists. The activities are sold through One-day tour packages in Labuan Bajo. Still, depending on the service provider, the itinerary description, admission ticket, and order of visit to the destination are very complicated. Considering this, this study uses the TOPSIS decision model in choosing One Day Tour tour packages in Labuan Bajo by considering the criteria of price, destination, duration, admission ticket, and service rating. Based on the results of this study, it can be seen that the highest preference value from the ranking results is the Full Day Trip to Explore 6 Destinations in Labuan Bajo and Komodo tour package, with a value of 0.673056111. Furthermore, the tour package that occupies the second position from the ranking results is the 1-day Komodo island Tour hopping around by Speed Boat with a preference value of 0.628303746. Meanwhile, the tour package that occupies the third position from the ranking results is One day Komodo trip with Bintang Komodo Tours with a preference value of 0.53181476. This shows that the TOPSIS method produces recommendations for One Day Tour packages in Labuan Bajo for tourists by considering the price of tour packages, the number of destinations visited, the length of time or duration of tourist time, admission tickets in tour packages, and ratings The services of the travelers were previously related to the tour package. Thus, the selection of TOPSIS-based One Day Tour tour packages can minimize the risk that causes misunderstandings or tourist dissatisfaction related to the tour packages prepared by each travel agent.
Single-Label and Multi-Label Text Classification using ANN and Comparison with Naïve Bayes and SVM
Authors: Karsana M. Mahfi Nurandi , L. Kemas Muslim , Astuti Widi 
Published: July 2024

Machine learning has become useful in daily life thanks to improvements in machine learning techniques. Text classification as an important part in machine learning. There are already many methods used for text classification such as Artificial Neural Network (ANN), Naïve Bayes, SVM, Decision Tree etc. ANN is a branch in machine learning which approximate the function of natural neural network. ANN have been used extensively for classification. In this research a simple architecture of ANN is used. But it needs to be pointed out that the architecture used in this research is relatively simple compared to the cutting edge in ANN development and research to show the potential that ANN have compared to other classification method. ANN, Naïve Bayes and SVM performance are measured using f1-macro. Performance of classification model is measured of multiple single-label and multi-label dataset. This research found that in single-label classification ANN have a comparable f1-macro with 0.79 compared to 0.82 for SVM. In multi-label classification ANN have the best f1-macro with 0.48 compared to 0.44 in SVM.
Penerapan Aplikasi Sistem Pakar Untuk Mendiagnosa Penyakit Kucing Berbasis Web Menggunakan Metode Forward Chaining Dan Certainty Factor
Authors: Nurrachma Febrina Shanti , Azizah Nuril Lutvi , Mauliana Metatia Intan 
Published: July 2024

Cats are animals that are loved and admired by the public because of their beautiful physical shape and adorable behavior. But most cat keepers do not know how to treat and do not know the disease experienced by their pets just by looking at the symptoms of the disease that occurs in cats. So many cat owners are not aware if their cat has a disease and is late in providing treatment. From these problems, an expert system is needed that can help in solving problems, an expert system application that adopts artificial intelligence in the field of veterinary medicine that can diagnose diseases in cats. The purpose of this research is to build an expert system that is useful as a tool for diagnosing diseases in cats based on the web using forward chaining and certainty factor methods. This system is built using PHP and MySQL programming languages and based on the results of system functional testing using black box testing which states that the system is running well and all components produce the expected results and are able to assist users in diagnosing cat diseases, the results of disease diagnosis and the confidence value is in accordance between manual calculations and calculations on the system by bringing up the results of certainty value calculations factor in each possible disease detected on the website. From the day of diagnostic testing, it was concluded that 33% of cats were diagnosed with feline calciirus, 33% of cats were diagnosed with feline panleuopenia, 40% of cats were diagnosed with feline rhinotracheitis, 37% of cats were diagnosed with helmathiasis, 80% of cats were diagnosed with otitis, 36% of cats were diagnosed with ringworm, 68% of cats were diagnosed with scabies.
Analisa Market Basket Analysis untuk Melihat Pola Transaksi Customer Menggunakan Algoritma Apriori dan FP-Growth
Authors: Pabutungan Griya Jitri , Purnomo Hindriyanto Dwi 
Published: July 2024

Online sales are considered an alternative approach that can positively impact product marketing. But the more online shops, the greater the competition in the business world. From the problems above, so that the store can survive among busy competitors, a strategy that is qualified as an effort to attract customer attention is needed. One effort that can be done is to look at customer patterns or tendencies during transactions. Knowing this is expected to provide additional information to stores to increase loyalty and meet customer needs so that online business stores that are built can last a long time. Based on the description that has been explained, the purpose of writing this research is to find customer spending patterns so that it can support XYZ company as one of the retail application managers in creating business strategies that can be used to attract customer interest using the market basket analysis method and the help of the a priori algorithm and fp-growth as a comparison. The market basket looks at product categories often purchased together in one receipt by customers. This study uses transaction data of 34,159,477, a minimum confidence value of 0.2, and a minimum support of 0.01 for both algorithms. The results of the two algorithms using the same minimum value give the same result in the form of 10 association rules itemset.
Perbandingan Metode Naïve Bayes dan K-NN dengan Ekstraksi Fitur GLCM pada Klasifikasi Daun Herbal
Authors: Nurjulianty A. , Purnawansyah Purnawansyah , Darwis Herdianti 
Published: July 2024

Indonesia is a country with various types of herbal plants that have the potential to be very effective medicines. Herbal plants have been used since ancient times as natural medicines. One part that has health benefits is the leaves, however, there are many similarities between the different types of leaves. This research aims to classify digital images of herbal leaves implementing the Naïve Bayes and K-Nearest Neighbor (KNN) methods with Gray Level Co-occurrence Matrix (GLCM) feature extraction. The dataset consisted of sauropus androgynus and moringa leaves with data collection in bright and dark scenarios. A total of 480 data which was divided into two parts, namely 80% for training data and 20% for testing images. The KNN distances used for comparison are Euclidean, Manhattan, Chebyshev, Minkowski, and Hamming. Meanwhile, Naïve Bayes uses Gaussian, Multinomial, and Bernoulli kernels. The results of the study showed that the KNN method with the Manhattan distance obtained the best results with an accuracy rate of up to 94% in bright scenarios.
Analisis Sentimen Ulasan Pengguna Pada Aplikasi BRImo BRI Menggunakan Metode Klasifikasi Algoritma Naive Bayes
Authors: Umair Muhammad , Susanto Erliyan Redy 
Published: July 2024

Sentiment analysis is the process of collecting, measuring, understanding and interpreting opinions or sentiments expressed in text to understand or evaluate the opinions contained in a topic. BRImo BRI application analysis research aims to analyze the sentiment of user reviews of the BRImo BRI application via the Google Play Store platform using the Naive Bayes Algorithm Classification method. This algorithm is used to identify Positive, Negative and Neutral sentiment patterns contained in user reviews of the BRImo BRI application via the Google Play Store platform. The data used in this research was 199 data. The sentiment results obtained from these data were Positive sentiment as many as 47, Negative as many as 125 and Neutral as many as 27. After analyzing the data using the Naive Bayes algorithm classification, the data results obtained were accuracy results of 65%, precision results of 67%, recall results of 92%. and f1_score results 77%. This research aims to analyze the sentiment of user reviews of the BRImo BRI application regarding payment features via the Google Play Store platform using the Naive Bayes Algorithm Classification method. The Naive Bayes algorithm is used to analyze Positive, Negative and Neutral sentiments that appear in user reviews of the BRImo BRI Application regarding payment features. Analysis of user sentiment towards the application is very important for service providers to understand user perceptions and needs in the BRImo BRI application.