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All Journal Nursing News : Jurnal Ilmiah Keperawatan Jurnal Kreativitas PKM YUME : Journal of Management Portal: Jurnal Teknik Sipil Puteri Hijau : Jurnal Pendidikan Sejarah Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika JPMI (Jurnal Pembelajaran Matematika Inovatif) Jurnal Pengabdian Masyarakat Teknik Ethical Lingua: Journal of Language Teaching and Literature Journal of Computer Networks, Architecture and High Performance Computing Mitra Raflesia (Journal of Health Science) Jurnal AlphaEuclidEdu MAHESA : Malahayati Health Student Journal Khidmatul Ummah: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Teknik Bangunan Informatics and Enginering Dedication SEUNEUBOK LADA: Jurnal ilmu-ilmu Sejarah, Sosial, Budaya dan Kependidikan SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya MDP Student Conference Jurnal Sains Student Research Lontara Journal Of Health Science And Technology Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Jurnal Abdimas Kesehatan Jurnal Generasi Tarbiyah: Jurnal Pendidikan Islam
Mardiani Mardiani
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Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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ANALYSIS OF SEGMENTATION AND CLIENT TARGET MARKET BUSINESS DECISIONS IN CONSTRUCTION SERVICE COMPANY USING K-MEANS AND DECISION TREE ALGORITHMS : CASE STUDY AT CV JOWON SOLUSINDO Setia, Wondho; Mardiani, Mardiani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 8 No. 2 (2026): Research Paper April 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v8i2.7942

Abstract

High competition in the construction service industry requires companies to adopt efficient marketing strategies to reduce Customer Acquisition Costs (CAC). CV Jowon Solusindo faces challenges regarding marketing inefficiency due to the implementation of a one size fits all strategy and a high number of unconverted leads (Lost Prospects). This study aims to classify customer characteristics and discover decision rules to formulate personalized marketing strategies. This research employs a quantitative approach with Data Mining methods based on the CRISP-DM framework. The dataset consists of 576 historical transaction records that have undergone data cleaning processes. The method used is a hybrid approach, combining the K-Means Clustering algorithm for customer segmentation and the Decision Tree (C4.5) for rule pattern extraction. The results indicate that the K-Means algorithm with k=3 successfully mapped customers into three distinctive segments, Young Emerging Clients (Average age 33 years with the highest project value), Established Senior Clients (Average age 54 years with stable frequency), and Lost Prospects (Average age 42 years with the lowest offer value). The Decision Tree analysis yielded an accuracy of 67% and identified Age as the primary determinant factor with a split point at 43.5 years. Based on these findings, it is recommended to differentiate marketing strategies into digital visual approaches for customers under 43.5 years and personal approaches for those above that age, as well as pricing strategy adjustments to minimize failure in the Lost Prospects segment.
Implementasi Metode SAW Pada Sistem Pendukung Keputusan Pemilihan Sales Terbaik ., Stephen; Mardiani, Mardiani
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15329

Abstract

The sales evaluation process at PT Inti Bharu Mas currently relies on manual monitoring and Microsoft Excel, leading to slow processing, calculation errors, and a lack of transparency. These inefficiencies hinder management from making timely, objective decisions regarding employee performance and rewards. This study develops a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to streamline evaluations. The system incorporates five key criteria: total sales, ordering outlets, visit frequency, service quality, and attendance. Developed using the Laravel framework, MySQL, and the Rational Unified Process (RUP) methodology, the system automates the ranking process. Results demonstrate that the DSS produces accurate, consistent sales rankings while significantly enhancing efficiency and transparency. By digitizing the evaluation workflow, PT Inti Bharu Mas ensures more objective managerial decision-making and provides a reliable basis for employee recognition and rewards through a more structured and automated approach.
Penerapan Data Mining Dengan Metode FP-Growth Untuk Menganalisis Pola Pembelian Konsumen Salim, Ignasius Felix; Mardiani, Mardiani
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

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

Abstract

CV. Sukses Inti Prima is a distribution company engaged in the consumer goods sector, including both food and non-food products, operating in the South Sumatra region. In order to enhance the efficiency of sales strategies and inventory management, the company requires an analytical system capable of identifying customer purchasing patterns based on available transaction data. This study aims to implement data mining techniques using the FP-Growth algorithm to discover associations between products that are frequently purchased together. By leveraging the FP-Growth algorithm, the research is expected to successfully reveal purchasing patterns that can serve as a basis for developing marketing strategies, such as product bundling recommendations and more strategic product placement. These findings will also play a vital role in minimizing the risk of overstock or stockouts, while providing a data-driven foundation for business decision-making to increase product sales and customer satisfaction.
Pola Pembelian Produk Bangunan Menggunakan Algoritma FP-GROWTH pada PT Dharmaputra Jaya Bersama Yeremia, Deryl Andeya; Mardiani, Mardiani
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15380

Abstract

PT Dharmaputra Jaya Bersama is a company engaged in the sale of building materials such as nails, cement, sand, and ceramics, located in Palembang, South Sumatra. To improve the efficiency of sales strategies an inventory management, the company requires an analytical system capable of identifying customer purchasing patterns based on transaction data. This analysis applies data mining techniques using the FP-Growth algorithm to discover associations between products thatare frequently purchased together. The results can support decision-making in inventory control and sales strategies. By utilizing this approach, the company is expected to enhance operational efficiency, minimize overstocking or stockouts, and design more accurate promotional efforts based on customer purchasing behavior.
ASUHAN KEPERAWATAN PALIATIF PADA Ny. R DENGAN CA MAMMAE METASTASIS PARU DI RUANG JASMINE RUMAH SAKIT Hj. BUNDA HALIMAH BATAM Liana, Liana; Noni Hadiyati; Rahmat Hidayat; Mardiani Mardiani; Serly Mardiah Tullah
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 3 (2026): JUNI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i3.9979

Abstract

Breast cancer with lung metastasis is an advanced-stage condition that causes physical and psychological problems requiring comprehensive palliative care. The purpose of this paper was to describe the implementation of palliative nursing care for Mrs. R with breast cancer and lung metastasis in Jasmine Ward at Hj. Bunda Halimah Hospital Batam. The method used was a case study approach through the nursing process including assessment, diagnosis, intervention, implementation, and evaluation. Assessment results showed acute pain, ineffective breathing pattern, anxiety, imbalanced nutrition less than body requirements, risk of shock, and risk of infection. Nursing interventions included pain management, oxygen therapy, wound care, psychological support, nutritional support, and family education. After 3×24 hours of nursing care, pain and dyspnea decreased, the patient appeared calmer, although several nursing problems were not fully resolved due to disease progression. In conclusion, palliative nursing care can improve comfort and quality of life in patients with breast cancer and lung metastasis.
Co-Authors ., Stephen Agung Riyadi Ahmad Yani T Akrajas Ali Umar Annisa R Arent, Ease Asrinia Desilia Bong, Adryanto Wisesa Buston, Erni Chandra Dinata Chendana, Nicholas Ignatius Corry, Corry Dafid Dafid Darma, Dimas Dewa Dedy Suryadi Dien Novita Dina, Risma Djaswadi Dasuki Dona Fitriawan Farisi, Ahmad Fitriansyah, Yudi Fransiska Prihatini Sihotang, Fransiska Halini - Hapsari, Alya Sekar Hariadi, Efrizon Harianja, Tuangkus Hendry, Tivelin Herwan Dermawan Husni Husni Indah Indah istiqomah istiqomah Jovita, Neysa Kheli Fitria Annuril Liana Liana Marjoni Imamora Ali Umar Mawarnis, Elvy Rahmi Meisy Meisy Muhammad Fachri Muhammad Ferdiansyah, Muhammad Nafriza, Elsa Napitu, Hasian Napitu, Ulung Nasution, Ade Mey Lisca Noni Hadiyati Nur Elly Nur Jannah Nur Rachmat Octaria, Orissa Odih Supratman Pardosi, Sariman Pibriana, Desi Rahmat Hidayat Ridha Mardiani Rina Marina Masri, Rina Marina Rizani Teguh rusbandi rusbandi, rusbandi Sahran, Sahran Salim, Ignasius Felix Sari, Dewi Tarita Sarita, Rezeki Oktari Sasabone, Luana Septiyanti, Septiyanti Serly Mardiah Tullah Setia, Wondho Sinurat, Anggiat Siti Nurasiyah, Siti Stevanus, Andry Sudiadi, Sudiadi Sugiatno Sugiatno Sujarwo Sujarwo Sukmawati Sukmawati Sutrisno Sutrisno Syam, Nur Ina Syam Tineke Wolok Widia Lestari Wijaya, Andra Saferi Winata, Praja Yasmin, Nuramalia Yeremia, Deryl Andeya Yoga Wahyu Pratama Yuriatson, Yuriatson Yusuf, Rakhmat