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Journal : Moneter : Jurnal Keuangan dan Perbankan

Live Migration Performance Test on Linux-based Mail Server Service Triansyah, Muhammad Bugi; Hendrawan, Ade Hendri; Afrianto, Yuggo; Kurniawan, Ridwan; Ritzkal, Ritzkal
Moneter: Jurnal Keuangan dan Perbankan Vol. 12 No. 2 (2024): JULI
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to assess the performance of live migration of Linux-based email server services using Proxmox virtualization technology. The server usedemail that electronic mail serveris Squaremail, an open-source program running on the Ubuntu operating system.is Squaremail, an open-source program running on the Ubuntu operating system. The live migration process transfers Squaremail data and the Ubuntu operating system from one physical host to another without affecting running services.transfers Squaremail data and the Ubuntu operating system from one physical host to another without affecting running services.The migration is performed by utilizing Proxmox's live migration feature, utilizing which allows the transfer of virtual hosts without downtime. Proxmox's live migration feature, which allows the transfer of virtual hosts without downtime. migration process, the mail server was monitored to monitor the impact of live migration on service performance. study report on the results of downtime during the migration process without interruption and analyze the cost of using Proxmox to perform live migration on the Squaremail mail server.
LDA Topic Analysis for Product Reviews in Social Media Platform Alzami, Farrikh; Megantara, Rama Aria; Prabowo, Dwi Puji; Sulistiyawati, Puri; Pramunendar, Ricardus Anggi; Dewi, Ika Novita; Ritzkal, Ritzkal
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 2 (2023): OKTOBER
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/moneter.v11i2.402

Abstract

Social media in recent years is used as platform for product reviews and customer feedback. Thus, to understand the topic which have been discussed, we utilized Latent Dirichlet Allocation for topic modeling. The topic modeling is important due to it can gain insights into the specific features that customers like or dislike about a particular product. Thus, by not using stop words due it have possibilities remove the time domain, the information can be valuable for businesses as it helps them understand customer preferences and inform product development and marketing strategies with the coherence score 0.621520, the topic modeling obtained 3 optimal topics, where the topic 0 discussed about price and time it will be available to purchase. In topic 1 it discussed about the product is hard to obtain due to it not available in market. In topic 2, it discussed about ownership (what they like after usage).
RFM Analysis for Customer Lifetime Value with PARETO/NBD Model in Online Retail Dataset Megantara, Rama Aria; Alzami, Farrikh; Akrom, Ahmad; Pramunendar, Ricardus Anggi; Prabowo, Dwi Puji; Wibowo, Sasono; Ritzkal, Ritzkal
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 2 (2023): OKTOBER
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/moneter.v11i2.409

Abstract

In recent years, there has been a growing interest in analyzing Customer Lifetime Value (CLV) due to its ability to provide valuable insights into customer profitability and worth. CLV analysis predicts the net profit attributed to the entire future relationship with a customer. This analysis involves calculating the present value of a customer's expected future spending with the company, facilitating an understanding of the economic value of long-term customer relationships. CLV analysis empowers businesses to identify their most profitable customers and develop strategies for retaining them, ultimately maximizing long-term profitability. CLV analysis relies on various models and techniques, including the RFM analysis categorizes customers based on recency, frequency, and monetary value, helping to segment customers and predict future behavior. Then, The Pareto/NBD model combines probability distributions to estimate CLV and is commonly used for customer base analysis. This research article explores the application of RFM analysis for estimating customer lifetime value using the Pareto/NBD model in an online retail dataset. This metric is crucial for businesses as it assists in identifying valuable customers and formulating retention strategies to maximize long-term profitability.
Co-Authors .S.T., M.Kom., Suhadi Abdul Karim Abdul Karim Abdul Karim Halim Abdul Khayr Abdul Rahman Acep Ansor Achmad Faris Nasyarudin Ade Hendrawan Adhi Prakosa, Bayu Afif Rafyan Ahmad Suhaedi Ahya Ibadina Syahida Akhmad Abdul Aziz Akrom, Ahmad Al-Wahid, M. Azhar Algista, Grevin Dionaldy Alief Juan Aprian Alzami, Farrikh Aminudin Aminudin Anak Agung Gede Sugianthara Anggra Triawan Apip Supriana Ariagi Juliano Arief Goeritno Arif Sulistio Arthur Dida Batistuta Asep Ramdhani M Asep Sumantri Astuti, Nuraeni Puji Ayumi Johan Ayumi Johan Azhar Al Wahid Azhar Al-Wahid Bahagia Bahagia Bahagia Bahagia Batistuta, Arthur Dida Bayu Adhi Prakosa Chayati, Nurul Dahlia Widhyaestoeti Dani Darmawan Dede Sunardi Dedi Setiadi Dewi Primasari Dewi, Kalih Puspita Dhimas Bagus Adi Saputro Dian Anwar Dian Wulandari Dicky Hermawan Dicky Septian Firdaus Diki Rahsidin Dwi Puji Prabowo, Dwi Puji Ebim Fatur Rohman Eko Hadi Purwanto Engkos Supriatna Enomi Muhamad Giri Salako Fadly Cahya Ramadhan Febby Hendrian Febby Hendrian Fety Fatimah Fikriyadi Fikriyadi Fitrah Satrya Fajar Kusumah Fitria Rachmawati Freza Riana Gani Fajar Kusuma, Mohamad Hambal Azhari, Muhammad Hariyanto, M Wujut Hendra Ginanjar Hendrawan, A. Hendri Hendrian, Febby Hersanto Fajri Hurriyaturrohman Hurriyaturrohman I Gusti Bagus Wiksuana Ika Novita Dewi Indriyawati Indriyawati Intan Kamilah Joniwarta Juhariansyah, Juhariansyah Juliano, Ariagi Kamaludin Mubarok, Muhamad Kodarsyah Kodarsyah Kodarsyah Leni Muniroh Luluk Dianarini M Wujut Hariyanto M. Azhar Al-Wahid M. Imam Sundarta M. Khairun Nur Al Fadjri Maulana, Kevin Megantara, Rama Aria Melodia Cantika Moh Risnandar Moh Subchan Muhamad Fariz Syarif Muhamad Lutfi Muhammad Fauzan Adhima Muhammad Khaerudin Muhammad Nadhif Muhammad Shiddiq Ilham Noor Muniroh, Leni Muniroh, Leny Mutiara Karbella Naufal Agung Pambudi Noor, Muhammad Shiddiq Ilham Noor, Zakky Muhammad Nuraeni Puji Astuti Nuraeni Puji Astuti Nurul Reski Amalia P, Eko Hadi P, Eko Hadi Pahri Muhammad Kasypurohman Prakosa, Bayu Adhi Prayoga Aldi Kurniawan Predyus Fan Suhery Priatna , Wowon Puri Sulistiyawati Puspa Putri Amalia Putra Pratama, Saga Eka Rahman, Randa Rendi Juhar Maulana Rezi Setria Ricardus Anggi Pramunendar Ridwan Kurniawan Rimun Wibowo Rimun Wibowo Rimun Wibowo, Rimun Rizky Amalia Roy Waluyo Rudi Hartono Rudi Irawan Rulhendri Rulhendri SANTI LISNAWATI Sasono Wibowo Shania Meiriestiani Siswanti, Tiwi Siti Khodijah Parinduri Siti Patimah Siti Rahma Bahrain Subchan, Moh Suhartono Suhartono Syafrial Syafrial Syaiful Syaiful Syaiful Syaiful Titing Suharti Tiwi Siswanti Triansyah, Muhammad Bugi Wahid, Azhar Al Willy Mandela Willy Mandela Yoga Permana Yophyana Firman Hidayat Yuggo Afrianto Zakky Muhammad Noor Zakky Muhammad Noor Zakky Muhammad Noor