bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Persuasive Communication, Discounts, and Consumer Trust on Shopee Live Purchases at Sivali Factory
Authors: Yuliastuti Handini , Mutiasari Annisa Indah , Cahyani Rusnandari Retno 
Published: December 2024

Translator Translator Translator This study examines the impact of persuasive communication, discounts, and consumer trust on purchasing decisions during live-streaming sessions on Shopee, specifically focusing on the Sivali Factory account. The research employs a descriptive quantitative method, using questionnaires distributed to respondents who purchased products from Sivali Factory via Shopee live streaming. The data were analysed using multiple linear regression with SPSS version 25. Findings reveal that discounts and consumer trust significantly influence purchasing decisions, while persuasive communication does not have a significant effect. The study concludes that effective discount strategies and fostering consumer trust are crucial for enhancing purchasing decisions during live-streaming sessions. It is recommended that e-commerce businesses prioritise these factors to boost sales and consumer engagement.
Pathogenic mycoflora of clematis plants in Forest-Steppe of Ukraine
Authors: Shevchuk O. , Afanasieva O. , Makarenko N. , Golosna L. , Zlenko D. , Kryvosheiev S. 
Published: December 2024

Goal. Identification of the fungi present in the plant tissues and rhizosphere of clematis and evaluation of their isolation frequency.
Methods. Laboratory — plant samples collected in 2023—2024 throughout the growing season on three varieties were analyzed in the laboratory using macroscopic and biological methods. Isolation of fungi from the rhizosphere soil was carried out by the method of serial soil dilutions on agarized medium. The pathogens were identified by the cultural and morphological characteristics of the colonies and morphometric features of sporulation.
Results. Nine species of fungi were isolated from the tissues of clematis leaves and stems, and eight species — from the root system and rhizosphere. The genus Alternaria was the most prevalent on leaves and stems, being observed throughout the entire growing season and isolated from 91% of the samples. Cladosporium spp. and Fusarium spp. were less common (isolation rate 58% and 17%, respectively). Neopestalotiopsis spp., Trichothecium spp., Cylindrocarpon spp., Epicoccum spp., and Chaetomium spp. were also found during both years of the study. Among the isolated fungi vast majority are pathogenic to plants. In 2024, symptoms of rust caused by Aecidium clematidis were detected. Rhizoctonia spp. and Fusarium spp. were most often isolated from the root system and rhizosphere soil.
Conclusions. The results obtained indicate that throughout the growing season, plant pathogenic fungi were isolated from the leaves, stems, root systems, and rhizosphere soil. Alternaria spp. were predominantly found in the aboveground parts of the plants, while Rhizoctonia spp. and Fusarium spp. were primarily associated with the underground parts. These species, along with Neopestalotiopsis spp. and Cylindrocarpon spp., require constant monitoring, as they can cause damage on plants under favorable conditions for their development. Monitoring of mycoflora during the growing season makes it possible to establish the optimal periods for disease management.
Pemberdayaan Kemitraan Masyarakat Petani: Penerapan Multi Cropping dan Smart Farming di Dusun Cihieum, Desa Sukanagalih Cianjur, Jawa Barat
Authors: Noriko, M.S. Dr.  Dra Nita , Effendi Yunus , Pambudi Arief , Andi Arni Andi , Armelia Adela , Mandjusri Alma 
Published: December 2024

<p><em>Biaya produksi yang tinggi dibandingkan dengan penjualan merupakan masalah yang dihadapi petani dusun Cihieum Kampung Cibeureum, desa Sukanagalih. Penyebabnya adalah biaya sewa lahan, kebutuhan pupuk, pestisida, ketersediaan air dan upah tenaga kerja untuk pengolahan lahan. Solusi dalam menghadapi permasalahan ini adalah menerapkan, multi cropping, smart farming, konservasi tanah dan air </em><em>serta</em><em> </em><em>penggunaan </em><em>traktor</em><em> tangan</em><em>. Tujuan yang akan dicapai adalah mengurangi biaya produksi dan meningkatkan hasil pertanian</em><em>.</em><em> Metode yang dilakukan untuk </em><em>menjalankan solusi tersebut </em><em>adalah mengadakan Pemberdayaan Kemitraan Masyarakat(PKM) untuk petani mitra melalui sosialisasi dan workshop. </em><em>Hasil </em><em>PKM </em><em>menunjukkan</em><em> </em><em>adanya p</em><em>eningkatkan pengetahuan dan kemampuan petani untuk melaksanakan multi cropping dan smart farming, konservasi tanah dan air</em><em> serta penggunaan traktor tangan</em><em>.</em><em> </em><em>Pe</em><em>nerapkan multi cropping dan smart farming</em><em>, </em><em>konservasi tanah dan air</em><em> serta traktor tangan</em><em> </em><em>dapat menekan </em><em>biaya produksi hingga 30% dan hasil pertanian pada satu areal terdiri atas</em><em> </em><em>2 komoditi seperti</em><em> </em><em>Capsicum ann</em><em>u</em><em>um</em><em> </em>(cabai merah) <em>dan Phaseolus vulgaris </em>(buncis)<em>. Hasil produksi C</em><em>.</em><em> annu</em><em>u</em><em>m dapat meningkat 30% dan P</em><em>.</em><em> vulgaris</em><em> </em><em>100%</em><em>.</em><em> Peningkatan keuntungan</em><em> bududaya cabai merah </em><em> </em><em>dapat mencapai</em><em> 91%.</em></p>
PENGEMBANGAN MANAJEMEN PRODUK USAHA MIKRO, KECIL DAN MENENGAH KERUPUK SAGU DI KECAMATAN KUANTAN TENGAH KABUPATEN KUANTAN SINGINGI
Authors: Wedayanti Made Devi , Siswanto Apri , Sundari Eva , Kusumawaty Yeni , Prafes Prendy , Fikram Muhammad 
Published: December 2024

Pengabdian Masyarakat ini merupakan hasil kompetisi Hibah Dikti Skema Pemberdayaan Berbasis Kewirausahaan Ruang Lingkup Pemberdayaan Mitra Usaha Produk Unggulan Daerah tahun 2024. Alasan Pemilihan topik atau pentingnya topik pengabdian ini karena kerupuk Sagu merupakan produk unggulan Kabupaten Kuantan Singingi Provinsi Riau yang sudah terkenal dan sudah ada sejak tahun 1983. Sehingga sangat perlu dikembangkan dan dilestarikan. UMKM Kerupuk Sagu Uwit (mitra 1) dan Kerupuk Sagu Sina (mitra 2) menjadi mitra pada pengabdian masyarakat ini. Permasalahan PKM ini adalah belum adanya Standar Operasional Prosedur dan pembagian tugas yang jelas, tidak adanya pembukuan laba rugi secara administrastif dan kurangnya mengelola antara pendapatan usaha dengan biaya pribadi sehingga menyebabkan tidak adanya biaya untuk pengembangan usaha seperti tidak adanya biaya promosi, pelatihan karyawan dll. Permasalahan lainnya juga belum ada pengurusan PIRT dan Sertifikat Halal. Metode PKM ini adalah melakukan tahapan Sosialisasi- pelatihan- penerapan teknologi- pendampingan & evaluasi -keberlanjutan program. Hasil PKM ini berjalan dengan sukses dengan antusias mitra yang tinggi, ada peningkatan pengetahuan sebelumnya yang belum bisa membuat SOP, Job Desk dan pembukuan laba rugi setelah kegiatan UMKM sudah bisa membuat adminstrasi tersebut. Selanjutnya juga tim PKM membantu pengurusan PIRT dan Sertifikat Halal dari 2 UMKM tersebut.
Pendampingan Analisis Laporan Keuangan dan Pengendalian Internal sebagai Strategi Pencegahan Fraud
Authors: Hernat Okevanrianus Putra , Halim Kusuma Indawati , Novianty Novianty , Louw Febriana 
Published: December 2024

Pendampingan dalam pengelolaan laporan keuangan dan penguatan pengendalian internal sangat penting bagi perusahaan dagang untuk mencegah terjadinya fraud. Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk memberikan pendampingan kepada PT Central Kapuas Utama dalam melakukan analisis dan pengelolaan laporan keuangan, serta memperkuat sistem pengendalian internal sebagai strategi utama dalam pencegahan fraud. Pencegahan fraud memerlukan langkah-langkah sistematis, salah satunya melalui pengelolaan laporan keuangan yang transparan dan penguatan pengendalian internal yang efektif. Penelitian ini bertujuan untuk melakukan pendampingan kepada PT Central Kapuas Utama dalam mengelola laporan keuangan serta memperkuat sistem pengendalian internal sebagai strategi utama dalam pencegahan fraud. Pendekatan yang digunakan dalam kegiatan pendampingan ini adalah partisipatif dengan metode pelatihan, konsultasi, dan evaluasi berkelanjutan. Pendampingan difokuskan pada pengelolaan laporan keuangan yang akurat dan sesuai dengan standar akuntansi, serta penerapan pengendalian internal yang efektif untuk mendeteksi dan mencegah potensi fraud. Selama proses pendampingan, dilakukan audit internal untuk mengidentifikasi kelemahan sistem, serta simulasi kasus fraud untuk meningkatkan kesadaran dan kesiapan perusahaan dalam menghadapi ancaman tersebut. Hasil dari kegiatan ini menunjukkan peningkatan pemahaman manajemen PT Central Kapuas Utama tentang pentingnya laporan keuangan yang valid dan andal, serta penguatan sistem pengendalian internal. Penerapan kontrol yang lebih ketat dalam proses operasional terbukti meningkatkan deteksi dini terhadap potensi fraud dan meminimalisir risiko keuangan. Selain itu, pendampingan ini berhasil memperkuat integritas sistem pelaporan keuangan dan meningkatkan kesadaran seluruh staf terhadap pentingnya pengendalian internal dalam pencegahan fraud.
Peningkatan Pemberdayaan Kelompok Kumis Lele dengan Penggunaan Listrik Tenaga Surya dan Teknologi Pengemasan Vakum
Authors: Trisnawati Chatarina Yayuk , Lestariningsih Diana , Gunadhi Albert 
Published: December 2024

Kelompok Kumis Lele memiliki usaha budidaya ikan lele dengan tiga kolam pemijahan/pembibitan, lima kolam pendederan dan dua kolam pembesaran yang memerlukan sirkulasi air dengan pompa air. Kelompok Kumis Lele berusaha menghasilkan listrik secara mandiri dengan membangun sistem panel surya sebagai penghasil energi listrik, akan tetapi daya yang dihasilkan terbatas dan belum memenuhi kebutuhan untuk seluruh kolam lele. Untuk itu perlu dilakukan penambahan peralatan sistem panel surya dan pemeliharaan yang baik agar daya listrik yang dihasilkan lebih besar dan mampu memenuhi daya seluruh pompa air di semua kolam. Selain budidaya ikan lele, Kelompok Kumis Lele juga memproduksi beberapa produk olahan ikan lele seperti lele siap goreng, nugget dan siomay. Produk olahan tersebut disimpan beku akan tetapi umur simpannya hanya tiga bulan. Untuk itu perlu cara pengolahan yang baik dan penggunaan teknologi pengemasan vakum untuk memperbaiki kualitas produk olahan ikan lele. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan produktivitas mitra dalam budidaya ikan lele maupun produksi produk olahan ikan lele melalui pelatihan dan penerapan teknologi dan inovasi. Pelaksanaan kegiatan terdiri dari empat tahapan, yaitu sosialisasi, pelatihan, penerapan teknologi, serta pendampingan dan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan pemahaman mitra Kelompok Kumis Lele terhadap pengelolaan dan pemeliharaan sistem panel surya serta peningkatan jumlah peralatan sistem panel surya sehingga daya listrik yang dihasilkan lebih besar. Hasil kegiatan juga meningkatkan pemahaman mitra tentang cara produksi pangan olahan baik dan meningkatkan kualitas produk olahan ikan lele dengan memperpanjang umur simpannya. Melalui kegiatan ini pemberdayaan Kelompok Kumis Lele diharapkan meningkat.
Penerapan Metode Composite Performance Index (CPI) Dalam Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Kabupaten Bengkulu Utara
Authors: Andre pranata Andre Pranat , Supardi Reno , Fredricka Jhoanne 
Published: December 2024

North Bengkulu Regency has a list of village heads who serve as village heads. Based on the current list of village heads in North Bengkulu Regency, the best village head will be selected. The problem faced in this research is that in selecting the best village head we only look at the abilities of the village head, even though there are several criteria that can be considered by the district in selecting the best village head. The criteria used in this research are Integrity (C1), Commitment to advancing the village (C2), Ability to manage village resources (C3), Work attitude (C4). To overcome the problems encountered, a decision support system is needed. The method used in this research is the Composite Performance Index (CPI) method, this method uses 54 criteria, namely: Integrity, Commitment to advancing the village, Ability to manage village resources, Work attitude. From the results of the research, the decision results were obtained with the best alternative, namely A5 in the name of Sugeng R with a value of 218.3333333
Decision Support System For Hiring Honorary Teachers At State Junior High School 12 Kota Bengkulu Using The Simple Multi Attribute Rating Technique Method
Authors: Nurhalifah Silvy Dwi , Yupianti Yupianti , Kanedi Indra 
Published: December 2024

Honorary teachers are auxiliary teachers who are given teaching time according to the number of teaching hours with a salary in accordance with the hours of lessons they teach and have been arranged by several schools for the smooth teaching process. The acceptance of honorary teachers carried out at junior high school 12 Kota Bengkulu is still done onventionally without paying attention to quality and competence in the selection process, resulting in human error, open opportunities for nepotism activities. For this reason, a decision support system is needed that can help solve these problems. The method implemented in this system is SMART (Simple Multi Attribute Rating Technique). The simplicity of the SMART method in analyzing responses, responding to the wishes of decision makers, and the simplicity of calculations in decision making. This SMART method aims to facilitate the decision making of honorary teacher acceptance at SMP Negeri 12 Bengkulu City so as not to use the manual system anymore. From the results of the tests that have been carried out, it can be concluded that the honorary teacher acceptance system with the SMART method can provide a good and more objective assessment.
Pemanfaatan Kecerdasan Buatan dalam Penghitungan Ekuitas Harga Obat di Gudang Farmasi Dinas Kesehatan Kabupaten Purworejo
Authors: Irdianto Agoes , Supatman Supatman 
Published: December 2024

Laporan keuangan terkait harga obat merupakan kegiatan rutinitas di Dinas Kesehatan Kabupaten Purworejo, khususnya dalam hal penghitungan ekuitas harga obat dilakukan dengan cara manual yang mengakibatkan prosen laporan yang lama dan rentan terhadap kesalahan. Salah satu solusinya adalah dengan penggunaan teknologi Artificial Intelligence (AI) yang dapat melakukan perhitungan secara otomatis. Dengan memanfaatkan AI yaitu powerdrill.ai, penghitungan ekuitas harga obat yang sebelumnya dilakukan secara manual kini dapat dilakukan dengan lebih cepat dan memiliki akurasi yang tinggi. Data obat yang diperoleh, mencakup data transaksi pengadaan obat dan distribusi obat selama periode 1 Januari 2024 hingga 31 April 2024. Hasil pemrosesan data secara manual dikerjakan doleh beberapa orang dibutuhkan Waktu satu hari kerja sedangkan dikerjakan de ngan powerdrill.ai dengan satu petugas dibuthkan waktu kurang dari 5 menit. Sehingga diperoleh effisiensi waktu sebasar 98.,95%. Sehingga powerdrill.ai dapat mempercepat perhitungan penghitungan ekuitas harga obat.
Penerapan Metode K-Means Clustering Dalam Pengelompokan Data Pasien Rawat Inap Peserta BPJS Di Rumah Sakit Umum Daerah Kabupaten Kaur
Authors: Shepyantoni Faizal , Kanedi Indra , Suryana Eko 
Published: December 2024

The Kaur Regency Regional General Hospital is one of the health institutions where the majority of patients are members of the Social Security Administering Agency for Health. The problem with data management is that it is still done manually, where the data is captured and written in books, so that the goal is to make it difficult for hospital management to make decisions related to optimal service for patients, as well as the lack of information obtained by the hospital regarding information on the diseases most frequently suffered by hospitalized patients. inpatients, especially patients participating in the Social Security Administration. Applying the K-Means Clustering Method in grouping data on inpatients participating in the Social Security Administering Agency at the Kaur Regency Regional General Hospital can find out information on the results of grouping data on inpatients participating in the Social Security Administering Agency which is divided into 2 groups, namely few and many based on age, gender and class level of the Social Security Administering Body, and can also help evaluate data on the most and least inpatients at the Kaur Regency Regional General Hospital based on grouping results by looking at age, gender and class level of the Social Security Administering Body and the patient's illness. . Based on the results of testing on 30 data on inpatients participating in the Social Security Administration, grouping results were obtained, namely Cluster I with 20 patients and Cluster II with 10 patients. Where Cluster I (a lot of treatment) is dominated by women in the age group 40 – 59 years and the Social Security Administering Body class level III with Type 2 DM. Meanwhile, Cluster II (a little treatment) is dominated by men who are in the age group 20 – 39 years and Social Security Administering Agency level III class with dyspepsia syndrome and gero
Implementasi Machine Learning Untuk Prediksi Penjualan Oli Shell Pada CV. Harapan Karya Mandiri Bengkulu
Authors: Septari Dellya , Kanedi Indra , Jumadi Juju 
Published: December 2024

Prediction is an activity of guessing or estimating something that will happen in the future by utilizing historical data through a scientific method. CV. Harapan Karya Mandiri in predicting oil sales is still in a conventional way. The weaknesses of conventional systems are in addition to human error in doing calculations and writing and can also be lost when doing recapitulation. For this reason, a machine learning technique is needed that is able to predict sales. One of the algorithms included in Machine Learning is K-Nearest Neighbor. The system implementation uses the PHP programming language with the MySql database and the method used in this research is the Waterfall method. The waterfall method is able to analyze the needs used to find out from the weaknesses of the old system, then make a design of the design and continue with the design of the new system. The conclusion from the results of this study explains that the sales prediction process with the K-Nearest Neighbor method first goes through a training process. The prediction results are also strongly influenced by the amount of data being trained and the value of "k" in this method.
Implementasi Metode Certainty Factor Dalam Mendeteksi Hama Dan Penyakit Pada Jamur Tiram Putih
Authors: Do Nia Ade , Suranti Dewi , Suryana Eko 
Published: December 2024

White oyster mushroom (Pleurotus ostreatus) is a type of mushroom that is semicircular in its hood so that it is similar to an oyster shell with a slightly concave center. In the oyster mushroom cultivation business, it is not free from the risk of losses that arise if the cultivator is not diligent and careful in maintaining oyster mushrooms. New cultivators have difficulty identifying pests or pests that attack oyster mushroom plants so that the prevention that will be carried out in handling the maintenance process of oyster mushroom plants is less precise. The implementation of certainty factor method in detecting pests and diseases in white oyster mushrooms at Rafflesia Mushrooms can make it easy to find out information and procedures for dealing with pests and diseases in White Oyster Mushrooms by entering the symptoms experienced by the white oyster mushroom. The application of the implementation of certainty factor method in detecting pests and diseases in white oyster mushrooms at Rafflesia Mushrooms is made using PHP programming language and MySQL database, which can be accessed online via the link http://hamapenyakitjamurtiramputih.my.id. To determine the level of confidence in the symptoms felt against pests and diseases of white oyster mushrooms based on the user's CF value and the expert's CF value. Based on the black box method testing that has been carried out, it can be concluded that the functional of the application has run well and can provide consultation results on diagnosing pests or diseases experienced by white oyster mushrooms based on symptoms that have been selected by the user through Certainty Factor method stage.
Implementasi Metode Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Untuk Seleksi Calon Petugas Sensus Di Badan Pusat Statistik Seluma
Authors: Aribowo Deko , Yupianti Yupianti , Fredricka Jhoanne 
Published: December 2024

Central Bureau of Statistics is an institution tasked with providing quality statistical data through statistical activities that are integrated and have national and international standards. The purpose of this research is to produce a decision support system application for selecting prospective census officers at Central Bureau of Statistics of Seluma using Simple Additive Weighting (SAW) method. SAW is one of the methods used to solve problems. A decision Support System for the selection of prospective census officers at Central Bureau of Statistics of Seluma was created using PHP Programming Language and MySQL Database. This application can accommodate data on prospective census officers who will be assessed. This application can be used to facilitate the selection of prospective census officers at Central Bureau of Statistics of Seluma by applying SAW method which can rank the assessment results.
Numerical Modelling and Optimization of Thermal Performance of Heat Sink with Uniform Cross - Sectional Area using Shape Optimized Al2O3 - SiC Nanoparticles in Base Fluid
Authors: Pai Ammembal Gopalkrishna , Pai Rekha Gopalkrishna , Abdul Samat Abdullah , Laxmish Akshatha Bekal 
Published: December 2024

This study explores the flow characteristics of proposed “Integrated hybrid nanofluid heat sink model (IHNFHSM)” with a novel mixture of Al2O3–SiC nanoparticles of various shape in base fluid. The primary objective is to evaluate the influence of various similarity parameters on the heat transfer performance of the fin structure subjected to convective and insulated tip boundary conditions. A novel combination of Al2O3–SiC hybrid nanoparticles offer a significant potential for improved dissipation of heat in engineering applications. The analysis is carried out using Darcy's model, incorporating temperature-dependent natural convection, and radiation effects. The governing energy equations are non - dimensionalized and solved using three stage Lobatto quadrature numerical technique with suitable boundary conditions. The results provide insight into the effect of similarity parameters on the thermal performance of the system under consideration. Quantitatively, the findings reveal an increase of 23% in the thermal conductivity of base fluid with hybrid nanoparticles. The heat transfer rate of convective fin tip was enhanced by an average of 17.13% at = m2 = 1 compared to an insulated fin tip. An optimal thermal performance of the model in terms of heat transfer rate was observed by an enhancement of 100% in and m2 values from 10 to 20. Additionally, dimensionless fin temperature at = 1 enhanced by 12.16% for the lamina – lamina shape combination of nanoparticles over lamina – spherical, clearly showing its dominance in the thermal performance over the rest of the combinations.