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All Journal Autotech: Jurnal Pendidikan Teknik Otomotif Universitas Muhammadiyah Purworejo Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Jurnal Kesehatan Andalas El Tarbawi KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) HIMMAH Jurnal Pendidikan Islam Indonesian Akuatik: Jurnal Sumberdaya Perairan Proceedings of the International Conference on Applied Science and Health Unes Law Review Majalah Ilmu Pengetahuan dan Pemikiran Keagamaan Tajdid Jurnal Bisnis Tani JURNAL PENDIDIKAN IPS Tarbiyah Islamiyah: Jurnal Ilmiah Pendidikan Agama Islam Wijaya Putra Law Review Jurnal Pendidikan Islam Indonesia Jurnal Manajemen dan Ekonomi Kreatif Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Maeswara: Jurnal Riset Ilmu Manajemen dan Kewirausahaan Jurnal Budi Pekerti Agama Islam Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika Digital Innovation : International Journal Of Management Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian Hadlonah : Jurnal Pendidikan dan Pengasuhan Anak
Taufiqurrahman Taufiqurrahman
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Leveraging the RFM Model for Customer Segmentation in a Software-as-a-Service (SaaS) Business Using Python Andy Hermawan; Nila Rusiardi Jayanti; Aji Saputra; Army Putera Parta; Muhammad Abizar Algiffary Thahir; Taufiqurrahman Taufiqurrahman
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 2 No. 5 (2024): OKTOBER : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v2i5.1283

Abstract

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.
Development of Artificial Intelligence-Assisted Learning Videos to Improve Students' Understanding of Islamic History Materials Robi’atul ‘Adawiyah; Taufiqurrahman Taufiqurrahman
Jurnal Pendidikan Islam Indonesia Vol. 10 No. 1 (2025)
Publisher : Program Pascasarjana Universitas Ibrahimy

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

Abstract

The delivery of Islamic history material in several schools, including SMK Khamas, still uses conventional methods such as lectures, which tend to be monotonous. The delivery of material through textual explanations and teacher-centered learning is less appealing to students. Furthermore, students' low interest in reading history materials, which are typically very long texts with few visuals, has resulted in a low level of understanding of the material. In response to this issue, artificial intelligence-assisted learning videos were developed with the aim of presenting the material in a more interesting and easy-to-understand manner. The main objective of this activity is to design educational videos that meet students' needs and to determine their effectiveness in improving students' understanding. The development process utilises a Research and Development (R&D) approach with a 4D model, comprising the Define, Design, Develop, and Disseminate stages. The effectiveness test was conducted by involving two departments, namely TJKT and DKV, using the Mann Whitney U Test. The test results showed a statistical value of W = 351 and a p-value = 0.0006539 (two-sided), which means that there is a significant difference in student understanding between the two departments. The one-sided (greater) test also produced a p-value = 0.0003269, indicating that the scores of students in the TJKT department were significantly higher than those in the DKV department. Based on these findings, it can be concluded that the development of AI-based learning videos effectively improves students' understanding of Islamic history material. This video is expected to be a more engaging alternative learning medium that is tailored to the needs of today's digital generation.
Development of Artificial Intelligence-Assisted Learning Videos to Improve Students' Understanding of Islamic History Materials Robi’atul ‘Adawiyah; Taufiqurrahman Taufiqurrahman
Jurnal Pendidikan Islam Indonesia Vol. 10 No. 1 (2025)
Publisher : Program Pascasarjana Universitas Ibrahimy

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

Abstract

The delivery of Islamic history material in several schools, including SMK Khamas, still uses conventional methods such as lectures, which tend to be monotonous. The delivery of material through textual explanations and teacher-centered learning is less appealing to students. Furthermore, students' low interest in reading history materials, which are typically very long texts with few visuals, has resulted in a low level of understanding of the material. In response to this issue, artificial intelligence-assisted learning videos were developed with the aim of presenting the material in a more interesting and easy-to-understand manner. The main objective of this activity is to design educational videos that meet students' needs and to determine their effectiveness in improving students' understanding. The development process utilises a Research and Development (R&D) approach with a 4D model, comprising the Define, Design, Develop, and Disseminate stages. The effectiveness test was conducted by involving two departments, namely TJKT and DKV, using the Mann Whitney U Test. The test results showed a statistical value of W = 351 and a p-value = 0.0006539 (two-sided), which means that there is a significant difference in student understanding between the two departments. The one-sided (greater) test also produced a p-value = 0.0003269, indicating that the scores of students in the TJKT department were significantly higher than those in the DKV department. Based on these findings, it can be concluded that the development of AI-based learning videos effectively improves students' understanding of Islamic history material. This video is expected to be a more engaging alternative learning medium that is tailored to the needs of today's digital generation.
Feasibility study of functional facilities (ice factory) and level of need for ice supporting capture fisheries activities at the Meureudu Fish Landing Base Imelda Agustina; Ratna Mutia Aprilla; Taufiqurrahman Taufiqurrahman; Rizwan Thaib; Makwiyah Chaliluddin; Salmarika Salmarika; Alvi Rahmah
Depik Vol 13, No 2 (2024): AUGUST 2024
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.13.2.31496

Abstract

Pidie Jaya Regency is one of the districts that contributes to capture fisheries production in Aceh Province. Pidie Jaya Harbor is the Fish Landing Base (PPI) in Meureudu. As capture fisheries activities developed at PPI Meureudu, the local government began to pay attention to building several port facilities such as basic facilities, functional facilities and supporting facilities. Supporting facilities or supporting facilities are facilities that support fishing activities at the port, one of these facilities is an ice factory. The ice factory at PPI Meureudu belongs to the Aceh marine and fisheries service which was built in 2012. The Aceh Development Fund (ADF) built an ice factory with a production capacity of up to 30 tons/day at the Meureudu Fish Landing Base (PPI), through an environmentally friendly technology program for industry fishing process. Under normal conditions, the PPI Meureudu ice factory is currently producing ice cubes in excess of fishermen's needs, so ice cubes are sold by fishermen operating in the Peulimbang and Peudada areas, Bireuen Regency. Sometimes, when the fish catch is abundant, ice is not enough to meet the ice needs for ships at PPI Meureudu and must be supplied from Sigli, Pidie Regency. This study aims to determine the need for ice in fishing and handling operations to the feasibility of the ice factory business at PPI Meureudu. This research was carried out for one month, namely in November 2022 at the Meureudu Fish Landing Base (PPI), Meureudu City, Kec. Meureudu, Pidie Jaya Regency. The data used in this study are primary data secondary data. using business feasibility analysis. The results showed that the need for ice blocks at PPI Meureudu for fishing operations within one month was 221.80 tons, and the need for ice for fish handling activities at PPI Meureudu within one month required the amount of ice to be 2,879 blocks of ice or 144,864 tons which is the result of the analysis financial value obtained from the NPV Rp. 95,761,105 can be said to be feasible because the value is greater than 0. At an IRR value of 5% it can be said to be feasible because the results of the IRR calculation are greater than the discount factor, and a Net B/C value of 1 is said to be a breakeven project because = 1. These three values have been carried out in the Meureudu PPI block ice factory business that business it is worth continuing.Keywords:Business FeasibilityIce Block FacilityPidie Jaya
Co-Authors Aida Nursanti Aida Nursanti Aji Saputra Ali Bardadi Alvi Rahmah Amanta Annajma Khaularahma Andi Fedrawan Andy Hermawan An’Imatun Musa’adah Army Putera Parta Asnita Yuli Nova Ayu Nabila Busyra Azheri Camelia Herdini Dewita Suryati Ningsih Dinda Lestarini Eliyin Eliyin ELLY SUSANTI Embun Febryanti Panggabean Fachry Abda El Rahman Fitri Nurul Maghfira Fuat Alfauzi Gatot Wijayanto Gunawan Gunawan Hesty Ananta Yunas Husna Husna Imelda Agustina Jushermi Jushermi Kevin Odie Nugraha Lia Winda Sari Lubis Lisfah Asbi Syahfitri Maftuhah Maftuhah Makwiyah Chaliluddin Manurung Yustina Icha Mardiati Nadjib Mariska Zizia Meliansari Tiya Melisa Melisa Muhammad Abizar Algiffary Thahir Muhammad Afif Musfar Firli Tengku N. Nurjanah Naldi Wija Agus Nazwa Aulia Nila Rusiardi Jayanti Noviasari Henni Nuri Aslami Nursanti Aida Nuryanto A. Daim Pratama Anugrah Aditiya Putri Yuliana Lusi Ratna Mutia Aprilla Rembrandt Rembrandt Restuti Sri Riri Fitria Rizwan Thaib Robi’atul ‘Adawiyah Roesdi Rosnelly Salmarika, Salmarika Sarifah Putri Raflesia Sartika Dewi Sasmita Sasmita Septina Maulia Putri Silfi Iriyani Sisean Baga Susanti Maya Susi Hendriani Suwarno Abadi T. Fauzi T. Firli Musfar TATI NURHAYATI Ulfa Syalisah Ulfah Amini Wasnury Rendra Winda A. Cahyaningrum Yovie Shafa Aulia Maymalaputri Zulfadil Zulfadil Zulkarnain Zulkarnain