Jurnal Data Mining dan Sistem Informasi最新文献

{"title":"DESIGN AND BUILD COMPANY PROFILE WEBSITE BAGASKARA ART STORE WONOSOBO","authors":"Bita Parga Zen, Alfa Hardiyansyah","doi":"10.33365/jdmsi.v4i1.2659","DOIUrl":"https://doi.org/10.33365/jdmsi.v4i1.2659","url":null,"abstract":"Bagaskara Art Studio is a studio that provides training in acting, mime, painting and dance classes. It is located in Tanjunganom Village, Kaliwiro District, Wonosobo Regency, Central Java. Bagaskara Art Studio currently does not have a company profile website. Company profile is a product written by public relations (PR) practitioners that contains an overview of the company so that the company can choose the points that it wants to convey openly to the public. The company profile provides an overview of the company profile, vision and mission, as well as the products or services offered. The problem with Bagaskara Art Studio is that the client does not know in detail what services are offered because the client knows Bagaskara Art Studio only through social media. Information about the studio that is published on social media is only Whatsapp contact for ordering and only mentions the services offered without being explained in detail. so this research has designed a company profile website for Bagaskara Wonosobo Art Studio by applying a PHP framework that focuses on Laravel and Boostrap and MySQL database. The method chosen in this research is Extreme Programming which consists of 5 stages. The first stage is planning, which is to determine the needs of the system by collecting and analyzing existing data at Bagaskara Wonosobo Art Studio through interviews and literature studies. The second stage is design, which is the creation of a system model based on the results of the needs analysis that has been obtained. The third stage is coding, namely the application of the system model design into program code. The fourth stage is testing using the blackbox testing method. The fifth stage is software increment. The results of the research are in the form of the Wonosobo Bagaskara Art Studio website which was built by implementing Backend Hypertext Preprocessor (PHP) with the Laravel framework, Frontend CSS with the Bootstrap framework and MySQL database. The website features of Bagaskara Wonosobo Art Studio are displaying the home page, services, news, portfolio, and my account which displays information so that it can advance Bagaskara Art Studio. All features made on the website can run well and in accordance with the expected functions","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perancangan Sistem Informasi Pendaftaran Anggota Baru Berbasis Web Pada UKMI Ar-Rahman Universitas Teknokrat Indonesia","authors":"Ichwan Sholihin, Fenty Ariyani","doi":"10.33365/jdmsi.v4i1.2618","DOIUrl":"https://doi.org/10.33365/jdmsi.v4i1.2618","url":null,"abstract":"Perkembangan teknologi pada era globalisasi saat ini berkembang sangat pesat, dimana setiap orang dapat dengan mudah mengakses dan menyebarkan informasi dengan cepat. Kebutuhan akan informasi yang cepat dan akurat juga dibutuhkan dalam suatu organisasi dengan tujuan untuk menyebarkan akses kegiatan yang dijalankan hingga pendaftaran anggota. Unit Kegiatan Mahasiswa Islam (UKMI) Ar-Rahman Universitas Teknokrat Indonesia merupakan salah satu organisasi kemahasiswaan yang bergerak dalam bidang kerohanian. Penyebaran informasi keanggotaan dan kepengurusan pada organisasi mahasiswa ini belum sepenuhnya tersosialisasikan dengan baik. Sebagai salah satu UKM yang menjadi role model dalam peran keaktifan mahasiswa khususnya yang beragama muslim di lingkungan kampus, publikasi media menjadi hal yang paling penting untuk menunjang proses perekrutan sekaligus penyebaran informasi kegiatan. Maka dari itu dibuatlah sistem informasi ini untuk menyebarkan informasi seputar kegiatan yang diadakan oleh UKMI Ar-Rahman serta pengelolaan data pendaftaran yang dapat diakses melalui web browser. Sistem informasi ini dikembangkan dengan metode pengembangan perangkat lunak Waterfall. Bahasa pemrograman yang digunakan yakni JavaScript dengan framework CodeIgniter serta database MySQL. Hasil akhir dari sistem informasi ini adalah untuk mempermudah pengelolaan data pendaftaran anggota dan penyebaran informasi kegiatan yang lebih masif.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131040275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PERANCANGAN DATA BASE TOKO PAKAIAN MENGGUNAKAN MONGODB","authors":"Erdi Sanafi","doi":"10.33365/jdmsi.v4i1.2565","DOIUrl":"https://doi.org/10.33365/jdmsi.v4i1.2565","url":null,"abstract":"berikut aalah penggunaan mongodb pada toko pakaian","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130418431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENERAPAN CRISP-DM MENGGUNAKAN MLR K-FOLD PADA DATA SAHAM PT. TELKOM INDONESIA (PERSERO) TBK (TLKM) (STUDI KASUS: BURSA EFEK INDONESIA TAHUN 2015-2022)","authors":"A. Pambudi","doi":"10.33365/jdmsi.v4i1.2462","DOIUrl":"https://doi.org/10.33365/jdmsi.v4i1.2462","url":null,"abstract":"Teknik data mining telah diadopsi secara luas selama beberapa dekade terakhir, terutama dalam domain bisnis dan keuangan. Untuk mencapai manfaat berkelanjutan dari teknik ini, sebuah organisasi atau perusahaan harus mengadopsi proses standar untuk mengelola proyek penambangan data, sebagian besar menggunakan CRISP-DM. Penelitian telah menunjukkan bahwa proses standar ini sering tidak digunakan seperti yang telah ditentukan untuk memenuhi berbagai kebutuhan proyek data mining. Fase awal CRISP-DM, Business Understanding (BU), berfokus pada pemahaman tujuan bisnis dan terjemahan ke dalam tujuan data mining untuk menentukan rencana desain dan sumber daya yang diperlukan. Fase Data Understanding (DU) kemudian mengumpulkan dan mengeksplorasi data awal untuk mendapatkan wawasan tentang kualitas data. Dataset akhir kemudian dibuat dari dataset mentah melalui berbagai kegiatan dalam tahap Data Preparation (DP), seperti pemilihan catatan dan fitur atau transformasi dan pembersihan data untuk alat pemodelan. Beberapa teknik pemodelan kemudian dipilih pada fase Modeling (MO) dan diterapkan pada dataset yang telah disiapkan. Kinerja model dievaluasi dalam fase Evaluasi (EV) dan dimasukkan ke dalam konteks tujuan bisnis. Fase Deployment (DE) kemudian menjelaskan proses penerapan model dalam konteks pengguna akhir. Untuk meningkatkan pemahaman tentang bagaimana proses data mining digunakan sebagai standar acuan, diperluas dan diadaptasi dalam praktik, penelitian ini melaporkan studi kasus di bidang keuangan khususnya perdagangan saham. Studi kasus dilakukan berdasarkan dokumentasi dari portofolio proyek data mining, dilengkapi dengan data yang bersumber langsung dari Bursa Efek Indonesia. Hasilnya mengungkapkan dalam CRISP-DM memiliki dampak dan mekanisme yang digunakan untuk mengatasi prediksi saham pada PT. Telkom Indonesia (Persero) Tbk (TLKM). Studi ini memberikan nilai R2 sebesar 100% dengan nilai MAPE sebesar 0,0013% dengan menerapkan CRISP-DM di bidang bisnis dan keuangan. Kata Kunci: CRISP-DM, Data Mining, Indonesia Stock Exchange, Business, Stock Trading","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"65 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123446829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Klasifikasi UMKM Menggunakan Algoritma Naive Bayes Berdasarkan Sudah Pernah Mempunyai Atau Mengurus Sertifikat Halal","authors":"Guritna Wijaya","doi":"10.33365/jdmsi.v4i1.2634","DOIUrl":"https://doi.org/10.33365/jdmsi.v4i1.2634","url":null,"abstract":"Peran UMKM sangat besar untuk pertumbuhan perekonomian Indonesia. Pada tahun 2021 tercatat ada 288 data UMKM yang sudah atau belum memiliki setifikasi halal dari ruang halal. namun pada perkembangnya UMKM ini sangat minim kesadaran sekali dalam Sertifikasi Halalkan usahanya, karena seiring perkembangan ekonomi di dunia, para konsumen dunia terlebih di Indonesia ini di dominasikan oleh Penduduk muslim. Tujuan penelitian ini adalah untuk mengetahui berapa nilai akurasi yang diperoleh dari data ikm-halal-2022 Mitra RuangHalal Pulau Jawa 7 Des 2022. Metode penelitian dalam penelitian ini menggunakan metode Knowledge Discovery in Databases (KDD) dengan penerapan model klasifikasi metode naive bayes dengan tahapan pertama Menginput Data Latih pada RapidMiner, Melakukan proses data di Pilih & bersihkan, lakukan transformasi data, proses penambangan data, dan terakhir evaluasi. Hasil yang didapat menunjukkan nilai akurasi sebesar 92,41% dengan prediksi Belum dan ternyata Ya Belum sebanyak 2128, prediksi Belum dan tenyata Ya Sudah sebanyak 0, prediksi Sudah dan ternyata Ya Belum sebanyak 22, prediksi Sudah dan ternyata Ya Sudah sebanyak 212.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementasi Metode Simple Additive Weighting (SAW) untuk analisa kepuasan pasien terhadap layanan poli rawat jalan (Studi Kasus: Rumah Sakit Pertamina Bintang Amin)","authors":"Agung Deni","doi":"10.33365/jdmsi.v3i2.2208","DOIUrl":"https://doi.org/10.33365/jdmsi.v3i2.2208","url":null,"abstract":"Hospital is a health service institution that provides complete individual health services that provide inpatient, outpatient, and emergency services. One of the hospitals in Lampung province has the motto \"Excellent Service, Healthy Belongs to All\", \"We Care We Cure\" which has the goal of becoming a referral hospital for hospitals in Lampung Province. With this goal, the hospital should provide excellent service to patients. Several ways are carried out by the hospital to measure how good the quality of existing services is, including by making a means of contact for criticism and suggestions as well as an sms center. However, the hospital has not implemented the measurement of patient satisfaction using any method so that the hospital has difficulty in measuring the quality of service and patient satisfaction. The author conducted research in hospitals to measure patient satisfaction. In calculating patient satisfaction using the SAW (Simple Additive Weighting) method by determining criteria such as registration services, doctors, nurses, pharmacies, cashiers, facilities and the weight value that has been determined by the number of respondents using Population and Sample calculations. Which is expected to help the hospital in assessing and knowing the satisfaction of outpatient poly patients.This study uses the Java programming language, MySQL database, uses a UML-oriented system design and tests the system program using black box testing, obtaining a value of 100% (Very Eligible). The results of this study are the highest ranking obtained on the criteria of doctors with a value of 0.297 and the lowest value is on registration with a value of 0.098.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122550123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PERANCANGAN BUSINESS INTELLIGENCE SYSTEM PADA PUSKESMAS UPTD TANJUNG SARI NATAR","authors":"Sindu Tangguh Dewanto","doi":"10.33365/jdmsi.v3i2.2174","DOIUrl":"https://doi.org/10.33365/jdmsi.v3i2.2174","url":null,"abstract":"Puskesmas merupakan tempat terdekat bagi masyarakat untuk memeriksakan kesehatan, di sisi lain puskesmas juga mempunyai tugas untuk menyerahkan laporan aktifitas yang terjadi di puskesmas secara periodik kepada dinas kesehatan. Sebagai salah satu upaya untuk mencapai tujuan tersebut, perlu dibangun sebuah sistem yang dapat membantu puskesmas dalam merekam data rawat jalan dan menghasilkan laporan. Salah satunya teknologi informasi yang dapat dimanfaatkan sebagai alat untuk menyimpan data transaksi dalam jumlah yang banyak. Data tersebut tentunya membutuhkan analisa yang sangat teliti untuk dapat menghasilkan informasi yang membantu dalam proses pengambilan keputusan. Dengan pendekatan Business Intelligence (BI). Pada sistem yang dibangun menggunakan teknologi multiuser yang berjalan dalam sebuah jaringan Local Area Network (LAN) dengan arsitektur aplikasi client/server yang diharapkan dapat secara langsung diperoleh informasi mengenai rekam medis dalam waktu yang relatif singkat serta dapat dimanajemen secara periodik. Instrumen pengumpulan data menggunakan riset pustaka, wawancara, dan dokumentasi. Sedangkan software untuk membangun aplikasi menggunakan MS. Visual Basic, MS SQL Database server.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130071831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANALISIS SENTIMEN TWEET VAKSIN COVID 19 SINOVAC MENGGUNAKAN METODE SUPPORT VECOR MACHINE","authors":"Bita Parga Zen, D. Wicaksana, Halim Alfidzar","doi":"10.33365/jdmsi.v3i2.1926","DOIUrl":"https://doi.org/10.33365/jdmsi.v3i2.1926","url":null,"abstract":"Di awal tahun 2020 dunia dikagetkan dengan kejadian infeksi berat dengan penyebab yang belum diketahui, virus Covid-19 yang sedang melanda dunia saat ini yang menyebabkan penyakit pada manusia dan hewan. Kebayanakan orang masih merasa sedih, takut, marah ataupun merasa gembira dengan masih menyebarnya penyakit ini dan belum ditemukanya obat atau vaksin yang berhasil melumpuhkan virus ini yang sejauh ini sudah ada beberapa institusi atau perusahaan yang sedang mengambangkan vaksin Covid-19 salah satunya Sinovac. Twitter merupakan situs web layanan jejaring sosial yang banyak diminati pengguna internet yang sangat sering digunakan masyarakat dalam memberikan pendapat mengenai vaksin Sinovac ini. Menggunakan algoritma Support Vector Machine (SVM) merupakan salah satu metode klasifikasi yang memprediksi kelas berdasarkan model atau pola dari hasil proses training, analisis sentiment dilakukan untuk mengetahui respon sebagian masyarakat sebagian besar mengenai vaksin Sinovac ini. Dan diapatkan akurasi yang baik sebesar 74%.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121425501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENERAPAN ALGORITMA ECLAT DAN APRIORI PADA DATA MINING UNTUK MARKET BASET ANALISIS PENJUALAN","authors":"Aldino Aldino","doi":"10.33365/jdmsi.v3i2.2207","DOIUrl":"https://doi.org/10.33365/jdmsi.v3i2.2207","url":null,"abstract":"Growth of the retail business makes competition in implementing better marketing strategies. This research aims to analyze the shopping basket or market basket analysis in a mini market. Using two algorithms, namely the Eclat algorithm and the Apriori algorithm to analyze sales data, the purpose of this study is to find out the best algorithm in finding association rules or association rules from sales data and provide information regarding what items are the most sold as well as to find out what items. which must be displayed on the sales shelf at the same time. Based on the results of the implementation of thealgorithms Eclat and Apriori concluded that the algorithm Eclat works better thanalgorithm Apriori can be seen from the process of seeking the rule of 212 Mart sales data, Eclat algorithm produces a rule as much as 86 items with a time of 0.01s.","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114473636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IMPLEMENTASI FORECASTING PADA PERENCANAAN SISTEM PEMESANAN BUKU LKS (LEMBAR KERJA SISWA) MENGGUNAKAN ALGORITMA REGRESI LINEAR. (STUDI KASUS: TOKO BUKU DARUL ULUM, PUNGGUR, LAMPUNG TENGAH","authors":"P. Permata","doi":"10.33365/jdmsi.v3i2.2162","DOIUrl":"https://doi.org/10.33365/jdmsi.v3i2.2162","url":null,"abstract":"Darul Ulum Bookstore is engaged in distributing LKS books to be sent to schools. The need for worksheets that support learning is one of the most important aspects of availability in the store. so it takes sufficient stock in the order at the beginning of the semester. In this case, the shop owner has difficulty in estimating the number of books to be ordered, so a calculation model is needed to estimate how many books will be ordered at the beginning of the semester. The Multiple Linear Regression method is one of the methods used to predict how many books will be ordered. This method uses the dependent variable and the independent variable as the basis by taking into account the initial stock of books for 2018 and 2019 as the independent variable (x) and the initial stock of 2020 as the dependent variable (y). The results of this study obtained a predictive accuracy value from each printing, namely for CV. Hasan Pratama with MAPE testing of 6.42% with very good indicators. CV. Pratama Mitra Aksara with MAPE testing of 23.52% the results of the indicators are feasible, and CV. Pilar Pustaka with MAPE testing of 6.75% the indicator results are very good. And visualization of predictive data using R-Markdown. Keywords: Linear Regression, Predicting, Interactive Website, R-Markdown","PeriodicalId":430799,"journal":{"name":"Jurnal Data Mining dan Sistem Informasi","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}