bluuebunny/crossref_metadata_2025 huggingface dataset:
Boundary integral equations for the heat flux vector and their solution by the boundary element method
Authors:   Peter the Great St. Petersburg Polytechnic University, Lalin V.V. , Semenov D.A. ,   Peter the Great St. Petersburg Polytechnic University
Published: December 2024

The formulation of the problem of stationary thermal conductivity with respect to the heat
flux vector for an incoherent, semi-infinite region and its solution by the boundary element method
are described. The main advantage of the formulation is the direct determination of the heat flux, this
vector is necessary to solve the problems of thermoelasticity.
To formulate the problem with respect to the heat flux vector, a boundary integral equation is obtained.
The procedure for solving the problem by the boundary element method is described, and a system
of resolving equations is compiled. The solution of the test problem of temperature distribution in a
half-plane with a circular hole is presented. Comparing the calculation results with a known solution
illustrates the reliability and acceptable engineering accuracy of the solutions obtained.
INVESTIGATION OF THE FIRE RESISTANCE OF MASONRY WALLS OF BUILDINGS AND PARTITIONS ERECTED FROM LARGE-FORMAT CERAMIC STONES
Authors:   JSC Research Center of Construction, Ponomarev O.I. , Dozorova A.Yu. ,   JSC Research Center of Construction, Pavlova E.A. ,   JSC Research Center of Construction, Khudainatov A.E. ,   LLC “TH “BRIER”
Published: December 2024

Examination and assessment of the technical condition of masonry walls and partitions damaged
as a result of fire, as well as studies conducted indicate that these structures, depending on the accepted types of masonry wall materials – brick, stone, mortars – and the presence of plasters, have different fire resistance limits. At the same time, as the analysis showed, in some cases, fire resistance does not correspond to the calculated values adopted in Russian regulatory documents in the field of fire safety of buildings and structures.
COMPARATIVE PERFORMANCE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR BUSINESS INTELLIGENCE: A STUDY ON CLASSIFICATION AND REGRESSION MODELS
Authors:   Department of Business Administration, International American University, Los Angeles, CA, USA, Bony Md Nad Vi Al , Das Pritom ,   College of Computer Science, Pacific States University, Los Angeles, CA, USA, Pervin Tamanna ,   Department of Business Administration, International American University, Los Angeles, California, USA, Shak Md Shujan ,   Master of Science in Information Technology, Washington University of Science and Technology, USA, Akter Sharmin ,   Department Of Information Technology Project Management, St. Francis College, USA, Anjum Nafis ,   College of Technology and Engineering, Westcliff University, Irvine, CA, USA, Alam Murshida ,   Department of Business Administration, Westcliff University, Irvine, California, USA, Akter Salma ,   Department of Public Administration, Gannon University, Erie, PA, USA, Rahman Md Khalilor ,   MBA in Business Analytics, Gannon university, Erie, Pennsylvania, USA
Published: December 2024

This study presents a comparative analysis of five widely used machine learning algorithms—Logistic Regression, Support Vector Machines (SVM), Random Forest, Gradient Boosting, and Neural Networks—in the context of business intelligence (BI). The performance of these models was evaluated on both classification and regression tasks, utilizing a comprehensive set of metrics including accuracy, precision, recall, F1 score, AUC-ROC for classification, and R-squared for regression. Results indicate that ensemble models, particularly Random Forest and Gradient Boosting, outperformed other algorithms across both tasks. Random Forest achieved the highest AUC-ROC (96.3%) in classification, while Gradient Boosting led with the highest F1 score (94.2%) and AUC-ROC (97.8%), reflecting its ability to model complex, non-linear relationships. In regression tasks, Gradient Boosting (R² = 0.94) and Random Forest (R² = 0.91) demonstrated superior explanatory power. While Neural Networks (R² = 0.93) performed well, their computational complexity and lack of interpretability pose challenges for certain BI applications. Logistic Regression and SVM, though effective in simpler contexts, were generally outperformed by more complex models. The findings emphasize the importance of selecting the appropriate model based on the business objectives, data characteristics, and computational resources, with ensemble methods being ideal for high-accuracy, complex BI tasks. This study contributes valuable insights for organizations aiming to leverage machine learning for data-driven decision-making and enhances the understanding of algorithmic trade-offs in business intelligence.
Halal Certification Guarantee for Culinary Business Actors in Sambas Regency
Authors: Firmansyah Yuman , Muhammad Amin Abdul Rauf , Muthiadin Cut
Published: December 2024

This article discusses the opportunities for implementing halal certification to increase their economic growth. It is said that new opportunities for business actors who are benchmarks are the guarantee of halalness of products sold to consumers in attracting the business opportunities they are undergoing. Therefore, the Sambas Regency Government is always optimal and strives to develop the halal food and beverage industry in each region in order to encourage the growth of the halal industry for culinary business actors. In implementing the acceleration of the implementation of halal standards where one of the things needed is halal products, article 4 states that halal certification of a product is mandatory. To support one of the developments of the halal industry, an in-depth study is needed in this study to find out the extent of application in providing halal product assurance through halal certification for MSME food and beverage products in Sambas district. The research method used is a descriptive qualitative approach research method. Based on the results of observations that show that superior food and beverage products, culinary business actors have great potential in realizing halal product guarantees so that they have optimal potential and are found to be quite strategic and appropriate in realizing the design of the halal food and beverage industry.
Mekanisme Pengusulan dan Penetapan Propemperda di Tingkat Legislatif dan Eksekutif dalam Pelaksanaan Keputusan DPRD Nomor 14 Tahun 2020 Tentang Penetapan Program Pembentukan Peraturan Daerah Kabupaten Sambas Tahun 2021
Authors: Nadia Nadia
Published: December 2024

Penelitian ini bertujuan untuk menganalisis mekanisme pengusulan dan penetapan propemperda di tingkat legislatif maupun eksekutif dalam pelaksanaan Keputusan DPRD Nomor 14 Tahun 2020 Tentang Penetapan Program Pembentukan Peraturan Daerah Kabupaten Sambas Tahun 2021.Fokus masalah dalam penelitian ini bagaimana mekanisme pengusulan dan penetapan Propemperda di tingkat Legislatif maupun Eksekutif dalam pelaksanaan Keputusan DPRD Nomor 14 Tahun 2020 Tentang Penetapan Program Pembentukan Peraturan Daerah Kabupaten Sambas Tahun 2021.Jenis penelitian ini termasuk kedalam penelitian kualitatif. Penelitian kualitatif adalah penelitian yang melakukan pengamatan tentang fenomena dalam suatu keadaan ilmiah untuk menelaah penelitian. Penggunaan penelitian kualitatif bertujuan untuk menjalankan fenomena melalui pengumpulan data sedalam-dalamnya. Pendekatan empiris merupakan pendekatan dalam meneliti hukum sebagai obyek penelitiannya tidak hanya dipandang sebagai disiplin yang preskriptif dan terapan belaka, tetapi juga empirical atau kenyataan hukum. Untuk memperoleh data, menggunakan teknik observasi, wawancara dan dokumentasi. Hasil penelitian Mekanisme pengajuan Propemperda oleh Bupati yaitu dimana Bupati menugaskan pimpinan perangkat daerah dalam penyusunan propemperda si lingkungan Pemerintah. Penyusunan propemperda dikoordinasikan oleh Bagian Hukum, dan dapat mengikutsertakan instansi vertikal terkait. Hasil penyusunan Propemperda diajukan oleh Bagian Hukum kepada Bupati melalui Sekretaris Daerah. Selanjutnya Bupati menyampaikan hasil penyusunan Propemperda di lingkungan Pemerintah Kabupaten kepada Bapemperda melalui Pimpinan DPRD Kabupaten.
The Effect of Degree Quality, Career, and Motivation on Students' Interest in Continuing Masters Studies
Authors: Amalia Siti , Afif M. Nur , Hutomo Yoyok Priyo
Published: December 2024

The purpose of this study was to determine the effect of quality motivation, career motivation, and degree motivation on the interest of accounting students to continue their master's studies in accounting with tuition fees as a moderating variable. The population in this study was 397 accounting students of the 2020 intake at 5 private universities in Bogor and the sample determination used a simple random sampling technique with the Slovin formula of 80 students. The analytical tools used were multiple linear regression analysis and Moderated Regression Analysis (MRA). The results of the study prove that quality motivation and career motivation partially have a significant effect on the interest in continuing their master's studies in accounting, while degree motivation does not have a significant effect on the interest in continuing their master's studies in accounting. Quality motivation, career motivation, and degree motivation simultaneously have a significant effect on the interest in continuing their master's studies in accounting. Tuition fees as a moderating variable can moderate the effect of career motivation on the interest in continuing their master's studies in accounting, while tuition fees as a moderating variable cannot moderate the effect of quality motivation and degree motivation on the interest in continuing their master's studies in accounting.
Türkiye’de Biyoloji Lisans Müfredatının Biyokorsanlık Kavramı Üzerinden İncelenmesi
Authors: Güler Erdal , Ay Hatice
Published: December 2024

Bu araştırmanın amacı, biyoloji bölümü lisans müfredatlarının biyokorsanlık kavramı üzerinden incelenmesini ve değerlendirilmesini ortaya koymaktır. Araştırmanın evreni, Türkiye’de biyoloji eğitimi veren lisans bölümleri oluşturmaktadır. Araştırmanın amacına uygun olarak amaçsal örnekleme yöntemi kullanılarak, 57 biyoloji bölümü ve 9 biyoloji öğretmenliği bölümü araştırmanın örneklemini kapsamaktadır. Araştırmada, veriler toplanırken nitel araştırma veri toplama yöntemlerinden doküman incelemesi tekniği ile biyoloji ve biyoloji öğretmenliği bölümlerinin müfredatlarında yer alan biyokorsanlık kavramı ve buna ilişkin kodlanan kavramlarla ilgili ders ve içerikleri ders bilgi paketleri üzerinden elde edilmiştir. Elde edilen verilerin analizinde içerik analiz türü olan kavramsal içerik analizi yöntemi kullanılmıştır. Araştırmanın analizinde MAXQDA 24 nitel araştırma programı aracılığıyla kodlamalara ilişkin bulgular tablolar ve grafikler halinde sunulmuştur. Araştırmanın sonucunda incelenen her iki bölümde doğrudan biyokorsanlıkla ilgili dersin olmadığı sadece biyoloji bölümünün bulunduğu bir üniversitede biyokaçakçılıkla ilgili dersin yer aldığı tespit edilmiştir. Genel olarak değerlendirildiğinde, biyoloji bölümü lisans müfredatlarının flora, fauna ve ekosistem ile birlikte geleneksel bilgi ve çevre sorunları bakımından birçok seçmeli veya zorunlu derslere yer verilirken biyoteknolojideki gelişmeler göz önünde bulundurularak canlı türlerinin fikri mülkiyet ve hukuk aracılığıyla korunmasına dair derslerin ve farkındalığın artırılması açısından yararlı olacağı ifade edilebilir.
Sistem Pendukung Keputusan Untuk Meningkatkan Efektivitas Dalam Pembayaran Pajak Bumi Dan Bangunan Di Badan Pendapatan Daerah Kabupaten Seluma
Authors: Amandika Rama , Pahrizal Pahrizal , Darnita Yulia , Muntahanah Muntahanah
Published: December 2024

The increasing development of computer technology has an impact on various fields. Including land and building taxes. Determination of property tax which was done manually has gradually developed using computers. Along with this, mapping technology is also developing rapidly. Therefore, integration between taxpayer data and mapping data is very important for each individual. A Decision Support System is a computer-based information system that takes an approach to generating various decision alternatives to help certain parties in dealing with problems using data and models. The proposed method is Analytic Hierarchy Process (AHP) which is a method that is able to create a sequence of alternative decisions and select the best alternative in a decision support system to increase effectiveness in paying building taxes. AHP allows judgment and decision making based on uncertain and insignificant data. By using the AHP method, hopefully it can help make decisions easier in increasing the effectiveness of land and building tax payments at the Seluma Regency Revenue Agency Service. The decision support system application to increase effectiveness in paying land and building taxes in the regional revenue agency of Seluma district was successfully built using the Analytic Hierarchy Process (AHP) method. Incremental research methods can be applied for application development. Application testing was carried out using the Blackcox method and the results the application is declared suitable for implementation.Keywords: SPK, Property TAX, AHP
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
Prediksi Tingkat Pengangguran di Wilayah Provinsi Jawa Timur Menggunakan Metode Elman Recurrent Neural Network (ERNN)
Authors: Panjaitan Tompo , Anggraeny Fetty Tri , Al Haromainy Muhammad Muharrom
Published: December 2024

Tingkat pengangguran merupakan indikator penting dalam mengukur kesehatan ekonomi suatu negara dan kesejahteraan masyarakatnya. Dalam konteks Indonesia, masalah pengangguran terbuka menjadi tantangan yang perlu ditangani secara serius untuk mencapai pertumbuhan ekonomi yang inklusif dan berkelanjutan. Oleh karena itu dilakukan penelitian penerapan metode Elman Recurrent Neural Network untuk prediksi tingkat Pengangguran di wilayah Provinsi Jawa Timur. Data yang digunakan yaitu data Tingkat Pengangguran Terbuka (TPT) Provinsi Jawa Timur dari tahun 2001 sampai dengan tahun 2022. Data tersebut dirubah kedalam bentuk data time series dengan variabel berjumlah 5. Penelitian ini menggunakan jumlah epoch 500, learning rate (α) 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,0.9 dan 0.1, dan toleransi error 0.001. Hasil pengujian MSE pada penelitian ini menunjukkan nilai MSE terkecil pada learning rate 0.01 dengan data latih 90% dan data uji 10% dengan nilai MSE 0,061227.
Evaluasi Efektivitas Sistem Akademik Menggunakan Model Servqual Untuk Meningkatkan Kualitas Layanan
Authors: Hidayat Jerry Wahyu , Juansen Monsya , Kirman Kirman , Saputera Surya Ade
Published: December 2024

Academic Information System is a computer-based system built with the hope of academic interests which aims to increase the quality of academic services, performance and human resources, as well as the resulting competitiveness. The Academic information system makes it easy for students to access important information related to the University such as course lists, grades, administration, academic calendars, information about each department and others. With the development of information systems in the academic field, it is also necessary to test information systems to find out whether the development and objectives of the information system are as expected. The purpose of this research is to determine the level of student satisfaction with the quality of academic information system services (SIKAMU) using The ServQual method provides recommendations for which variables need improvement in improving the quality of SIKAMU academic information system services. The research method used in this research is e-service quality or what is called e-servqual. From the research results, it was found that the gap or gap between expectations and reality is not too big, which means that the quality of the academic information system in the SIKAMU application is good, only a few small aspects need to be improved. Furthermore, from the aspect of student satisfaction, it can be concluded that Bengkulu Muhammadiyah University students are satisfied with the services provided by the SIKAMU information system. With an average overall rating of 80% (satisfied). This means that students' expectations regarding the five dimensions of service have been fulfilled even though they are not very in line with what students expected
Rancang Bangun Sistem Presensi Pegawai Berbasis Geo Lokasi Dan Pengenalan Wajah Menggunakan Facenet
Authors: Firdaus Renanda Auzan , Wahyuni Eka Dyar , Agussalim Agussalim
Published: December 2024

Presensi adalah cara untuk mencatat kehadiran seseorang dalam sebuah kegiatan atau acara. Presensi sangat penting dan berguna di dunia pekerjaan. Perusahaan X, sebuah lembaga pendidikan dan kursus yang berlokasi di Kalimantan Selatan, masih menggunakan proses pencatatan kehadiran yang tidak akurat. Saat ini, Perusahaan X telah menggunakan sebuah website dan memanfaatkan foto selfie untuk mencatat kehadiran pegawai mereka. Namun, sistem tersebut mempunyai beberapa kekurangan seperti pegawai bisa melakukan presensi diluar kantor, karena sistem tersebut belum menerapkan geo lokasi sebagai validasi presensi, kemudian pegawai bisa melakukan presensi dengan foto yang tidak sesuai, karena sistem tersebut belum menerapkan fitur validasi gambar seperti pengenalan wajah, sehingga supervisor harus selalu memeriksa foto presensi pegawai satu per satu, hal ini rentan terhadap kesalahan karena dilakukan secara manual. Peneliti berencana untuk membuat aplikasi android sebagai alat untuk melakukan presensi. Adapun metode peneletian yaitu menggunakan metode scrum. Diharapkan bahwa penggunaan aplikasi presensi yang diusulkan, akan mengatasi permasalahan yang dihadapi oleh Perusahaan X dalam manajemen kehadiran pegawai.
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.
Rancang Bangun Sistem Pemesanan Produk Jasa Percetakan Berbasis Web Di CV. Fajar Advertising
Authors: Sania Yuni , Khairil Khairil , Sallaby Achmad Fikri
Published: December 2024

Humans as technology users must be able to utilize currently available technology. With the help of technology and information using the web, an ordering system that can be done via the internet, which is often called the web, will facilitate the marketing reach of the services and products sold by the Company. Dawn Advertising. The aim of this research is to build a web-based product ordering system. The research method used is the system design method. which can be accessed by all parties who need information on purchasing products at the company. Fajar Advertising. The supporting programs used are Dreamweaver as a web editor, PHP as a programming language, and MySQL as a database storage system. The design of this system makes it easier to efficiently market printing products and services online without limitations on space and time. The author's suggestion is that the system can be used according to the company's needs. It is hoped that the development of the system will eventually make this program an online program.
Penerapan Metode Holt-Winter Exponential Smoothing Dalam Prediksi Jumlah Siswa-Siswi Baru Di Sma Negeri 09 Bengkulu Selatan
Authors: Saputra Wiwin Irianto , Kanedi Indra , Trianggana Dimas Aulia
Published: December 2024

Admission of new students is a routine activity carried out every academic year at the school. High School 09 South Bengkulu is one of the high schools in South Bengkulu Regency which accepts new students every academic year. The number of new students is based on the gender of the new students (boys and girls) and age group (14-15 years, 16-17 years, and 18-19 years). The application of the Holt-Winter Exponential Smoothing Method in predicting the number of new students at South Bengkulu High School 09 can make it easier to obtain information on predictions of the number of students in the school in the upcoming new academic year, where the prediction of the number of new students is based on gender. New students (boys and girls) and age groups (14-15 years, 16-17 years, and 18-19 years). Based on data obtained from South Bengkulu High School 09, the predicted results for the number of students were obtained. female students for the 2024/2025 academic year, namely 65 male students in the 14-15 year age group, 42 female students in the 14-15 year age group, 42 female students, 16-17 year old male students as many as 31 students, female gender in the 16-17 year age group as many as 0 students, male gender in the 18-19 year age group as many as 3 students, and female gender in the 18-19 year age group as many as 0 Students.
Sistem Informasi Pemasaran Kerupuk Ganepo Menggunakan E-Commerce Berbasis Web
Authors: Ferdiansya Cahya , Handayani Sri , Kirman Kirman , Juansen Monsya
Published: December 2024

The development of technology and information has had a significant impact on the business world, especially through the use of the internet as a means of information and communication. E-commerce is a major business trend today, enabling expanded marketing and increased profits for business people. Effective marketing is the key to success in business, with a focus on retaining customers and meeting their expectations. The use of the internet and digital technology has made it possible to sell goods and services online through various platforms, including online shops, social media and websites. Previous research shows that the application of e-commerce in marketing products such as local crafts and snacks has succeeded in increasing competitiveness and sales. Case studies on Small, Micro and Medium Enterprises (MSMEs) also highlight the importance of using web-based media to increase product promotion and sales. In this context, further research was conducted to explore the potential of online marketing for MSME businesses, with a focus on developing a web-based online shop for Ganepo cracker products. It is hoped that the results of this research can contribute to improving the understanding and practice of online marketing for MSME players, as well as expanding the reach and knowledge of their products in the digital market
Aplikasi Penjualan Fokus Komputer Menggunakan Bahasa Pemrograman PHP dan Metode Apriori
Authors: Ramadhan Arya Gilang , Pahrizal Pahrizal , Wijaya Ardi , Toyib Rozali
Published: December 2024

Information technology-based sales applications have emerged as essential solutions for optimizing sales processes, tracking inventory, and understanding customer purchasing patterns. Fokus Computer Store offers a range of products, including computer components, laptops, as well as accessories such as mice, mouse pads, keyboards, USB drives, and other computer components. However, challenges arise in sales efficiency, where certain items tend to accumulate without being sold over extended periods, impacting the store's cash flow. Therefore, an application capable of providing product recommendations based on previous sales data becomes crucial in assisting the store in effective inventory management and maintaining a smooth cash flow. The Apriori method is one form of association rule in the field of data mining. Alongside Apriori, there are other methods within this category, such as Generalized Rule Induction and Hash-Based Algorithms. The Apriori method, being a proven effective algorithm for association analysis, will be employed to uncover potential hidden purchasing patterns within the store's transactional data. By analyzing customer purchase data, this application can identify relationships between frequently co-purchased products. The results of this analysis can be utilized to formulate product recommendations for customers, enhance cross-product sales opportunities, and support inventory management decisions. This application can serve as a point-of-sale system at Fokus Computer Store, with the ability to display the outcomes of the Apriori algorithm calculations based on the input sales data. Despite the application developed by the author having certain limitations, particularly in terms of user interface and data, the author anticipates receiving constructive criticism and suggestions to aid in refining the application for the betterment of its future iterations
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.
Determining the Location Scheme and Area of Logistics Centers to Optimize the Distribution of Disaster Cluster Areas in West Java
Authors: Nafia Isya , Darwin Darwin
Published: December 2024

The West Java province, with an area of ​​35,377.76 km² and consisting of 27 districts/cities, frequently experiences earthquakes, floods, and volcanic eruptions. This study identifies five efficient logistics center points to reach all areas within the Golden Hour (3 hours) during disasters. Using Voronoi diagrams and the K-Means algorithm, each logistics center point has specific requirements for logistics packages, including minimum volume and warehouse area. This underscores the importance of technology in enhancing precise and efficient emergency responses in West Java.
Klasifikasi Penjualan Perhiasan Menggunakan Metode Decision Tree Algoritma C4.5 (Studi Kasus: Toko Emas Berkat Famili)
Authors: Syafputra Herizal , Sari Herlina Latipa , Khairil Khairil
Published: December 2024

Jewelry sales classification using Decision Tree Method with C4.5 Algorithm at Berkat Famili Gold Shop can facilitate and assist the store in obtaining information on the classification of sales of goods that are most in demand (in demand) and those that are less in demand (less in demand) from the results of sales data processing. The aspects or attributes used as parameters for the classification process are item type, item name, price, weight per gram, grade, inventory, sales, and sales status. Of the 14 test data used, the results of rule formation were obtained as many as 8 rules. Based on the results of rule formation, it is obtained that the most popular items (in demand) are Indian earrings, plain rings, rice necklaces, crystal earrings if the price is more than Rp. 726667, model rings if the weight is more than 2gram. Based on the system tests that have been carried out, it can be concluded that the functional of the jewelry sales classification application at Berkat Famili Gold Shop can has run well and can provide the results of the classification of sales of goods automatically through the C4.5 Method.
Analisa Rugi Daya untuk Meningkatkan Kinerja Sistem Listrik Rusun Griya Tipar Cakung
Authors: Arsadi Anastasya D. A.
Published: December 2024

Analisis data menunjukkan bahwa panel utama mengalami rugi daya tertinggi, sedangkan panel distribusi dan koridor lantai memiliki rugi daya yang lebih rendah. Peningkatan resistansi dan arus di panel utama perlu mendapatkan perhatian khusus melalui pemeliharaan dan optimasi sistem. Panel distribusi menunjukkan efisiensi yang lebih baik, namun tetap perlu pemantauan untuk menghindari peningkatan resistansi. Sistem penerangan di koridor cukup efisien dan dapat dijadikan model untuk area lain.
Implementasi Metode Certanty Factor Untuk Diagnosa Penyakit Tanaman Tebu Hijau Pada PT. Perkebunan Nusantara VII
Authors: Kubroh Darojatul , Elfianty Lena , Fredricka Jhoanne
Published: December 2024

This research aims to create an expert system application in diagnose green sugarcane plant diseases using the certainty factor method. Green sugar cane is one of the plantation crop commodities in Indonesia. However, cultivating green sugar cane does not escape various problems related to diseases that are likely to attack green sugar cane plants. If green sugar cane plants are attacked by disease, the yield and quality of green sugar cane will decrease which will then cause significant losses for green sugar cane farmers and green sugar plantation owners. If it is not immediately addressed, it will spread widely and worsen over time. The MySQL database can accommodate information and data from patients who consult with an expert system which can make it easy for patients to consult about green sugarcane plant diseases. The resulting expert system can make it easy for users to diagnose green sugarcane plant diseases online.
Penerapan Metode K-Means Clustering Dalam Mengetahui Minat Siswa Terhadap Mata Pelajaran Matematika Di SMP Negeri 19 Kota Bengkulu
Authors: Tiana Murni , Siswanto Siswanto , Kanedi Indra
Published: December 2024

Junior High School 19 Bengkulu City is one of the public junior high schools in Bengkulu City. In this school there is a Mathematics subject that is taught to students. Students' ability to understand the subject varies, so that sometimes it is difficult for teachers when the learning process is taking place. Interest in learning tends to produce high achievement, on the other hand, lack of interest in learning will result in low achievement and there are differences in interest in each subject. The implementation of K-Means Clustering Method in knowing students’ interest in mathematics subjects at Junior High School 19 Bengkulu City can make it easier for teachers to find out students’ interest and can be used as material for teacher evaluation in teaching and learning process in order to create high interest in subjects, especially mathematics. Based on the sample data used in class VIII.E on mathematics subject with 10 students in the odd semester of the 2023/2024 school year. The results of grouping students who fall into cluster C1 (very interested) are 4 students, while students who fall into cluster C2 (less interested) are 6 students. If it is percented, the Cluster C1 result is 60%.
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.
Sistem Pakar Untuk Mendiagnosa Penyakit Angular Cheilitis Menggunakan Metode Case Based Reasoning (CBR)
Authors: Putri Rozi Eka , Kanedi Indra , Yupianti Yupianti
Published: December 2024

This research aims to create an expert system application to diagnose Angular Ceilitis using the Case Based Reasoning (CBR) method to get solutions and information easily and quickly about the disease. This research method uses the waterfall method which begins with the requirements, design, implementation, verification and maintenance stages. This expert system was created using the PHP programming language and MySQL database. The Case Based Reasoing method can be used as a solution in using an expert system to diagnose angular ceilitis. In its application, the Case Based Reasoing method can provide a percentage of angular ceilitis. So that users can use this expert system as an application that can provide assistance in the initial diagnosis of angular ceilitis.
Perancangan UI/UX PPDB Studi Kasus TK Darussalam Plus Yogyakarta Metode Design Thinking
Authors: Agusta Baggas Fariel , Mulyati Sri
Published: December 2024

Penelitian ini bertujuan untuk merancang UI/UX sistem Penerimaan Peserta Didik Baru (PPDB) di TK Darussalam Plus Yogyakarta dengan menggunakan metode Design Thinking. Masalah utama yang dihadapi adalah adanya berbagai ketidaknyamanan dan ketidakefisienan dalam sistem saat ini, yang menyebabkan pengalaman pengguna yang buruk bagi orang tua dan administrator sekolah. Penelitian ini akan mengidentifikasi kebutuhan dan masalah pengguna, mengembangkan konsep dan prototipe, serta melakukan pengujian dan iterasi desain berdasarkan umpan balik pengguna untuk memastikan sistem yang lebih intuitif dan efisien. Implementasi desain baru ini diharapkan dapat meningkatkan kepuasan pengguna dan kinerja sistem secara keseluruhan. Berdasarkan hasil pengujian usability kepada responden yang berjumlah 15 orang dengan menggunakan perhitungan System Usability Scale (SUS), diperoleh skor rata- rata SUS sebesar 71, sedangkan ambang batas skor SUS sebesar 73. Berdasarkan perhitungan tersebut, hasil skor SUS berada pada Katagori C (OK). jadi kita bisa bilang begitu desain tersebut mendapat nilai minimum kepuasan , kebaikan, dan bisa digunakan tapi ada beberapa hal yang diperbaiki.
Membangun Aplikasi Penyuluhan Usaha Mandiri Berbasis Android
Authors: Reswan Yuza , Pahrizal Pahrizal , Juhardi Ujang , Adesio Lambardo
Published: December 2024

Indonesia is the most populous country in Southeast Asia and a great asset for the development of the Indonesian nation. A large population, if not managed properly, can pose problems in the future. The significant number of unemployed individuals in Indonesia creates its own challenges. The workforce in Indonesia still consists of a significant portion with primary and secondary education, while those with tertiary education are relatively few. The workforce can become the spearhead by creating job opportunities (job creators), so reducing unemployment cannot solely rely on job creation through private or foreign investment and the government. The tough competition among the increasing number of unemployed individuals each year has led to a new option, namely starting a self-employed business, which falls under the category of micro, small, and medium enterprises (MSMEs). MSMEs play a crucial role in improving and growing the community's economy. MSMEs are considered capable of withstanding any situation to achieve the welfare of the society. Establishing a new MSME is a challenging decision for those with limited funds, and careful consideration is required before starting one. The abundance of business options that can serve as references does not always guarantee success since not all businesses will thrive. Before deciding on the type of self-employment to pursue, prospective entrepreneurs must conduct research first. Therefore, there is a need for education and guidance for prospective entrepreneurs to avoid missteps when starting an MSME. The current technological advancements can be utilized to assist prospective entrepreneurs in providing relevant data related to self-employment, one of which is through the use of smartphone technology. Users can access literature regarding the process of establishing a self-employed business and learn from the experiences shared by entrepreneurs who are currently building their businesses
Implementasi Sistem Absensi Menggunakan Qrcode Berbasis Client Server Di SMK N 1 Bengkulu Selatan
Authors: Ikhsan M. Azzahrul , Kalsum Toibah Umi , Alamsyah Hendry
Published: December 2024

SMK N 1 Bengkulu Selatan is one of the vocational schools in Seluma Regency with Accreditation A which is located on Jl. A. Yani - Manna, Bengkulu Province. Currently the student attendance system still uses a manual method, namely by filling in or checking on the attendance sheet that has been provided, so that when checking attendance it will take time to collect attendance sheets and there are also attendance sheets that are no longer clear or legible so that attendance data will be lost. The attendance system using QRCode at SMK N 1 Bengkulu Selatan was built using the PHP programming language and MySQL database. Where in doing attendance by presenting each student's QRCode to a predetermined camera. Where this QRCode is based on the student's NIS, so that each student has their own QRCode. With this attendance system students, teachers and education personnel can see or check attendance at any time because attendance data is stored digitally in the database.
Control Motor Pompa Air Daur Ulang STP Berbasis Arduino dengan Sensor Kelembaban Tanah
Authors: Haryanto Gilang Putra
Published: December 2024

Rancang bangun pengontrolan motor pompa dengan sensor kelembaban tanah dengan menggunakan aplikasi arduino. Smart Garden adalah sebuah konsep perkebunan atau taman menggunakan kecerdasan teknologi, informasi kondisi tanaman dan tingkat kelembaban tanah terkendali oleh sistem sebuah alat. Dalam perancangan ini penyiraman tanaman otomatis dengan mengunakan beberapa alat berupa sensor kelembaban tanah, mikrokontroler arduino uno, i2c lcd, relay dan motor pompa air. Tujuan dalam perancangan ini adalah untuk mengetahui simulasi pada aplikasi pengontrolan kelembaban tanah menggunakan arduino uno dan untuk mengontrol kelembaban tanah mengunakan kecerdasan teknologi dalam memudahkan pekerjaan, agar kelak bisa diaplikasikan pada perancangan selanjutnya dan masyarakat. Hasil pengujian alat mengunakan mikrokontroler sebagai kontrol, sensor kelembaban tanah sebagai input dan lcd dan relay sebagai output. Hasil penelitian dari pagi sampai sore tanggal 25 juni 2024 pada tanah tanaman menunjukkan Tingkat kelembaban tanah pada layar lcd, ketika kelembaban tanah 250% dikatakan tanah kering. Ketika dinyatakan tanah kering membuat secara otomatis alat menyirami tanaman.
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.
Membangun Network Attached Storage (NAS) Untuk Integrasi Data Pada Stikes Al-Fatah Bengkulu
Authors: Utomo Debi , Sapri Sapri , Mesterjon Mesterjon
Published: December 2024

One system that can be used as a network attached storage system or that can be used for storage is the Linux Ubuntu Server 20.04 operating system, which is an open source operating system, this operating system is very good for use as a server because it does not require high hardware specifications and It can also be obtained for free because it is open source. The network attached storage system using Linux Ubuntu server is very well applied to the Al-Fatah Stikes in Bengkulu City, this is because the Al-Fatah Stikes in Bengkulu City requires a shared storage system to make it easier for lecturers and students to collect, create and provide modules, with the existence of This system can help students and lecturers in lecture activities. The use of this system can help students in submitting assignments and searching for modules provided by lecturers. Each lecturer and student can only access the storage folder according to their respective account