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All Journal JURNAL ILMIAH KESEHATAN KEPERAWATAN Semesta Teknika MNJ (Malang Neurology Journal) Jurnal Pilar Nusa Mandiri Jurnal Dimensi Pendidikan dan Pembelajaran Journal of ELT Research Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Ilmiah Ilmu Keperawatan Indonesia (Indonesian Nursing Scientific Journal) Bunda Edu-Midwifery Journal (BEMJ) INTI Nusa Mandiri Jurnal Infortech Cakrawala Repositori Imwi BUDGETING : Journal of Business, Management and Accounting JPM: JURNAL PENGABDIAN MASYARAKAT JURNAL AKSIOMA AL-ASAS Majalah Ilmiah UPI YPTK Jurnal Pengabdian kepada Masyarakat Empowerment Society Jurnal Minfo Polgan (JMP) Golden Ratio of Mapping Idea and Literature Format Jurnal Manajemen Jurnal Ilmu Multidisplin Jurnal Ilmiah Pendidikan dan Keislaman Innovative: Journal Of Social Science Research Jurnal Pariwisata, Bisnis Digital dan Manajemen Jurnal Pelita Manajemen Jurnal Sains dan Teknologi Informasi Indonesian Journal of Economics and Strategic Management Cakrawala: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Awal Bros Journal of Community Development JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) PESHUM SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa Proceeding Mulawarman International Conference on Tropical Public Health
siti nurlela
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : Jurnal Pilar Nusa Mandiri

 1 
PENYELEKSIAN JURUSAN TERFAVORIT PADA SMK SIRAJUL FALAH DENGAN METODE SAW Nurlela, Siti; Akmaludin, Akmaludin; Hadianti, Sri; Yusuf, Lestari
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1096.159 KB) | DOI: 10.33480/pilar.v15i1.1

Abstract

SMK Sirajul Falah is a Vocational High School located in the Bogor area. However, the selection of the favorite majors in SMK Sirajul Falah is still qualitative so that the process of choosing the favorite majors become not accurate. This is what makes the need for a method that is able to manage the data of the selection of the favorite majors and generate a ranking of the calculation of the weight of the selection of the favorite majors. In the selection of these favorite majors, there is a method of Simple Additive Weighting (SAW) which can be used in quantitative problem-solving. The SAW method is used to compare each criterion with one another, so as to give the results of the favorite majors and provide an assessment of each department at the Sirajul Falah Vocational School.
KERANGKA PENGAMBILAN KEPUTUSAN UNTUK PEMASARAN PRESISI MENGGUNAKAN METODE RFM, ALGORITMA K-MEANS DAN DECISION TREE Jupriyanto, Jupriyanto; Nurlela, Siti
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1516.957 KB) | DOI: 10.33480/pilar.v15i2.618

Abstract

Pemasaran presisi memberikan kemampuan pada perusahaan untuk menawarkan produk-produk yang dibuat secara khusus kepada pelanggan dan memberikan kemampuan kepada perusahaan untuk menarik minat pelanggan dengan pesan-pesan pemasaran yang dibuat secara khusus. Penelitian ini menyajikan kerangka kerja pengambilan keputusan baru menggunakan teknik data mining. Pertama, penelitian ini menyajikan model tren untuk memprediksi secara akurat kuantitas pasokan bulanan; kedua, menggunakan model RFM (Recency,Frequency, Monetary) untuk memilih atribut untuk mengelompokkan pelanggan ke dalam kelompok sesuai history transaksi belanjanya; ketiga, menggunakan Algoritma K-Means untuk membuat clustering pelanggan berdasarkan data RFM masing-masing pelanggan, keempat, menggunakan Decision Tree untuk mengidentifikasi nilai atribut penting untuk membedakan kelompok pelanggan yang berbeda; dan akhirnya, dari proses data mining yang peneliti lakukan menciptakan berbagai strategi penawaran yang menargetkan setiap cluster pelanggan. Data penjualan dari Syifamart di Subang Jawa Barat, dikumpulkan dan digunakan dalam studi kasus untuk menggambarkan bagaimana mengimplementasikan kerangka yang diusulkan. Dari penelitian yang telah dilakukan menunjukan bahwa proses data mining dari history transaksi penjualan 351,158 rows, dengan agregasi berdasarkan pelanggan menggunakan metode RFM dan diekstraksi dengan menggunakan algoritma clustering k-means membentuk 4 (empat) cluster optimal. Keempat (empat) cluster tersebut diklasifikasikan dengan menggunakan algoritma decision tree sehingga Syifamart dapat mengetahui mana pelanggan potensial dan mana pelanggan yang tidak potensial. Untuk ketersediaan pasokan stok, manajemen memprediksi kebutuhan persediaan produk dengan menggunakan metode tren dimana stok di bulan selanjutnya di prediksi dengan menggunkana history penjualan di bulan sebelumnya.
TELEMARKETING BANK SUCCESS PREDICTION USING MULTILAYER PERCEPTRON (MLP) ALGORITHM WITH RESAMPLING Masturoh, Siti; Nugraha, Fitra Septia; Nurlela, Siti; Saelan, M. Rangga Ramadhan; Saputri, Daniati Uki Eka; Nurfalah, Ridan
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.2168

Abstract

Telemarketing is a promotion that is considered effective for promoting a product to consumers by telephone, other than that telemarketing is easier to accept because of its direct nature of offering products to consumers. Telemarketing is also considered to help increase a company's revenue. The problem of predicting the success of a bank's telemarketing data must be done using machine learning techniques. Machine learning used in the available historical data is a bank dataset of 45211 instances at 17 features using the multilayer perceptron algorithm (MLP) with resampling. The use of resampling aims to balance the unbalanced data resulting in an accuracy value of 90.18% and a ROC of 0.89%. Meanwhile, if the data resampling is not used in the multilayer perceptron (MLP) algorithm, the accuracy value is 88.6 and ROC is 0.88%. The use of resampling data becomes more effective and results in higher accuracy values.
Co-Authors 'Aina 'Uruba, Huurul Achmad Fauzi Adelita, Rafanda Aditya Ananda, Aditya Adrianto, Ratno Agustini, Rina Tri Akmaludin Akmaludin, Akmaludin Alfarizzy, Vito Faza Amanda, Sasa Aprilia Amin, Mustangin Aminah Aatinaa Adhyatma Anggraini, Feny Savira Annisa Nurrachmawati Anton, A Antonius Yadi Kuntoro Aprida, Siti Nurul AR, Chaerunnisa Ariska, Dina Atikah, Fifi Auliya, Jumi Azizah , Siti Nur Azizah, Mirsa Nur Balqis, Salsabila Putri Cahyani Budihartanti, Cahyani Dailami, D. Daniati Uki Eka Saputri Denis, Rafael Fernando Deya Ramadhan, Indah Din Azwar Uswatun Diwani, Meftyane Liz Dwi Soegiarto, Dwi Edi Kurniadi Ekastuti, Zaidatun Eko Arisetijono Fahlapi, Riza Fahmi Sahlan Fania, Liza febriyanti febriyanti Fikriy, Mohamad Fryda Fatmayati Galuh Putra, Rifqi Gunawan Suryoputro Gunawan Suryoputro, Gunawan Gutami, Anggie Dia Hendra Ts, Kartika Hermanto Hermanto Hidayat, Irwan Hurairah, Rizky Abu Iis Nurasiah Ilham, Muhamad INDAH PURNAMASARI Irawan, Okta Saputra isma yuniar juanda, muhammad Jumawan Jupriyanto Jupriyanto, Jupriyanto Khairudin Khairudin Khalisha, Nailah Kurnia, Lita Lasari, Aramika Laska, Yulinda Lasman Effendi Lenik Gah, Regina Lestari Yusuf Mardika, Nanda Harry maruloh Maulana, Ady Maulani, Rici Gusti Miftakhur Rizki Muhammad Iqbal Nainggolan, Lenni Lea Netty Herawaty Purba Nitra, Ridatu Oca Nugraha, Fitra Septia Nur Rohmah Nurfalah, Ridan Nurfauzan, Nabil Nurwahyuni, Linda Pakpahan, Yohana Fransiska Pasha, Yuliana Permana, Lies Pratiwi, Widya Ayu Primadani, Dimas Rahmawati, Dessika Rahmawati, Rahmawati rangga ramadhan saelan Rehani, Siti Rio Pratama, Salza Risca Lusiana Pratiwi Saelan, M. Rangga Ramadhan Sarwani, Audi Aprilia Saryono, M.Or. S.Pd. Jas. Sasetio, Jalalludin Selasih Putri Isnawati Hadi Sembiring, David JM Sholeha, Bella Bina Sholihat, Siti Siti Maemunah Siti Masturoh Siti Masturoh Siti Rahayu Situmorang, Coky Atmajaya solihat, siti Sri Hadianti Sudarsono Sukarelawati, Sukarelawati Sulaeman, Sania Khaira Ikhsanti Supriatna Supriatna Susi Susanti Syafitri, Nadya Tampubolon, Erwin Cristian Taopik Hidayat Taqiyyah, Mia Risyah Teguh Prasetyo, Ery TIDIANA Undang Suryatna Wahyudi, Hegel Widiyanto, Aldi Widodo Mardi Santoso, Widodo Mardi Yohana, Dina Yulinda Laska Zulkarnain Zulkarnain