Article Per Year (5 Year)
p-Index From 2021 - 2026
5.328
P-Index
This Author published in this journals
All Journal Dinamik JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Community Development Journal: Jurnal Pengabdian Masyarakat Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Electronic Journal of Education, Social Economics and Technology TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknologi Ilmu Komputer The Indonesian Journal of Computer Science
Rohminatin, Rohminatin
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Nursing Public Health Social Sciences Veterinary Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Implementasi E-Crm Di Ria Reklame Guna Meningkatkan Sektor Penjualan Jasa Cetak Undangan Sihombing, Fadhil Nur Afif; Nofriadi, Nofriadi; Rohminatin, Rohminatin
J-Com (Journal of Computer) Vol. 5 No. 3 (2025): NOVEMBER 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i3.4162

Abstract

Abstract: The increasingly competitive economic growth requires business actors to innovate in their business strategies in order to survive and develop. Ria Reklame Store, a printing business specializing in invitation cards established in 2008, faces several challenges, including limited promotion methods, a manual ordering process, and unorganized transaction recording. These conditions have resulted in limited market reach and inefficient data management. This study aims to implement Electronic Customer Relationship Management (E-CRM) as a digital strategy to enhance operational effectiveness and sales performance at Ria Reklame. By utilizing website-based technology, the store can reach a wider range of customers, simplify the ordering process, and manage transaction data in a more structured and secure manner. The implementation of E-CRM is also expected to improve customer satisfaction, increase loyalty, and support the growth of Ria Reklame Store in an increasingly competitive market. Keywords: customer relationship management; sales; ria reklame Abstrak: Pertumbuhan ekonomi yang semakin kompetitif menuntut pelaku usaha untuk melakukan inovasi dalam strategi bisnis agar dapat bertahan dan berkembang. Toko Ria Reklame sebagai salah satu usaha percetakan undangan yang berdiri sejak tahun 2008 menghadapi beberapa kendala antara lain keterbatasan promosi, proses pemesanan yang masih manual serta pencatatan transaksi yang belum terorganisir dengan baik. Kondisi tersebut berdampak pada keterbatasan jangkauan pasar dan kurang efisiennya pengelolaan data. Penelitian ini bertujuan untuk mengimplementasikan Customer Relationship Management (CRM) sebagai strategi digital dalam meningkatkan efektivitas operasional dan sektor penjualan pada Toko Ria Reklame. Dengan memanfaatkan teknologi berbasis website, toko dapat menjangkau pelanggan lebih luas, mempermudah proses pemesanan serta menyimpan data transaksi secara lebih terstruktur dan aman. Penerapan CRM juga diharapkan mampu meningkatkan kepuasan, loyalitas pelanggan serta mendukung pertumbuhan bisnis Toko Ria Reklame di tengah persaingan yang semakin ketat. Kata kunci: customer relationship management; penjualan; ria reklame
ANALISIS MULTIVARIATE ADAPTIVE REGRESSION SPLINES DALAM PREDIKSI PENCAPAIAN TARGET PROFIT PERUSAHAAN DISTIBUTOR Suparmadi, Suparmadi; Rohminatin, Rohminatin; Rahmadita, Rahmadita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4244

Abstract

Abstract: An objective performance evaluation process that can describe the company's condition is through the achievement of targets from each factor that influences profit achievement. The many variables that influence this profit achievement require in-depth and systematic analysis to obtain complete, fast and accurate information. However, so far the Gerai Mustika distributor company has only focused on sales factors, and ignored other factors. Furthermore, the large amount of financial data that has been computerized so far at Gerai Mustika is only limited to weekly, monthly and annual reports, has not been optimally utilized to help management evaluate performance. The study aims to build a prediction model for achieving profit targets from company financial data using Multivariate Adaptive Regression Splines (MARS) based on machine learning. Based on the analysis results, the MARS model is proven to be superior to conventional multiple regression in predicting Gerai Mustika's profit, indicated by a higher R-squared value (0.756), as well as lower MAE and MAPE, so it is able to capture more complex data patterns and provide more accurate predictions; While multiple regression is still relevant for simple linear relationships, it is less than optimal in representing non-linear data variations. Keywords: Prediction; MARS Method; Distributor; Profit; Machine Learning Abstrak: Proses evaluasi kinerja yang objektif yang dapat menggambarkan konidisi perusahaan yaitu melalui pencapaian target-target dari seti ap faktor yang mempengaruhi pencapaian profit. Banyaknya veriabel yang mempengaruhi percapaian profit ini maka dibutuhkan analisa yang mendalam dan tersistem agar mendapatkan informasi yang utuh, cepat dan akurat. Akan tetapi, selama ini perusahan distributor Gerai Mustika hanya fokus pada faktor penjualan saja, dan mengabaikan factor yang lain. Selanjutnya, jumlah data keuangan yang besar yang telah terkomputerisasi selama ini di Gerai Mustika baru sebatas untuk laporan mingguan, bulanan dan tahunan saja, belum dimanfaatkan secara optimal untuk membantu manajemen mengevalausi kinerja. Penelitian bertujuan untuk membangun model prediksi pencapaian target profit dari data keuangan perusahaan menggunakan Multivariate Adaptive Regression Splines (MARS) berbasis machine learning. Berdasarkan hasil analisis, model MARS terbukti lebih unggul dibandingkan regresi berganda konvensional dalam memprediksi profit Gerai Mustika, ditunjukkan oleh nilai R-squared yang lebih tinggi (0,756), serta MAE dan MAPE yang lebih rendah, sehingga mampu menangkap pola data yang lebih kompleks dan memberikan prediksi yang lebih akurat; sementara regresi berganda masih relevan untuk hubungan linear sederhana, namun kurang optimal dalam merepresentasikan variasi data yang non-linear.Kata kunci: Prediksi;Metode_MARS;Distributor;Profit;Machine_Learning 
WEB-BASED SUPPLY CHAIN MANAGEMENT SYSTEM IMPLEMENTATION USING FEFO METHOD IN CV. SAHABAT JAYA SUKSES Dea Tantri Puspita; Nuriadi Manurung; Rohminatin, Rohminatin
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 2 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i2.4419

Abstract

Abstract: Distributors in the Fast Moving Consumer Goods (FMCG) sector, such as CV. Sahabat Jaya Sukses, face significant challenges in inventory control, particularly related to product expiration and stock discrepancies caused by manual recording. This study aims to design and implement a web-based Supply Chain Management (SCM) system that integrates the flow of goods from suppliers to retailers by applying the First Expired First Out (FEFO) method to minimize financial losses due to expired products. The research methodology employs the Waterfall model, which is selected because of its structured and systematic development stages and its suitability for systems with clear and stable requirements, facilitating effective analysis, design, implementation, and testing processes. The research stages include requirements analysis, system design, implementation, and testing. The results show that the SCM system successfully integrates data across the entire supply chain, automates inventory recording, and effectively prioritizes product distribution based on the nearest expiration dates. Black Box testing confirms that all system functionalities, including FEFO logic, operate properly, thereby improving operational efficiency and data accuracy. Keywords: supply chain management; FEFO; web-based system; distributor; inventory controls Abstrak: Distributor di sektor Fast Moving Consumer Goods (FMCG) seperti CV. Sahabat Jaya Sukses menghadapi tantangan dalam pengendalian persediaan, khususnya terkait produk kedaluwarsa dan selisih stok akibat pencatatan manual. Penelitian ini bertujuan merancang dan mengimplementasikan sistem Supply Chain Management (SCM) berbasis web yang mengintegrasikan aliran barang dari pemasok hingga pengecer dengan menerapkan metode First Expired First Out (FEFO) untuk meminimalkan kerugian akibat produk kedaluwarsa. Metodologi penelitian menggunakan model Waterfall yang dipilih karena memiliki tahapan pengembangan yang terstruktur, sistematis, dan sesuai dengan kebutuhan sistem yang jelas serta stabil, sehingga memudahkan proses perancangan, implementasi, dan pengujian. Tahapan penelitian meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa sistem SCM berhasil mengintegrasikan data di seluruh rantai pasok, mengotomatisasi pencatatan stok, serta memprioritaskan distribusi barang berdasarkan tanggal kedaluwarsa terdekat. Pengujian Black Box membuktikan bahwa seluruh fungsi sistem, termasuk logika FEFO, berjalan dengan baik sehingga meningkatkan efisiensi operasional dan akurasi data. Kata kunci: distributor; FEFO; manajemen rantai pasok; pengendalian stok; sistem berbasis web
Co-Authors Abda Abda Agus, Raja Tama Andri Amalia Amalia Aritonang, Nurmala Plorensia Br Azhari, Irvan br sinambela, salsabilah ramadani Chaerani, Silva Cristifani, Cristifani Dali Ansa, Sri Devi Dalimunthe, Roni Dea Tantri Puspita dermawan, ari Dewi Anggraini Fransiska, Rani Gunawan, M Haryono, Rocky Helmia, Fauriatun Herman Saputra Hutauruk, Tascha Adela Ickhsan, Muhammad Indriani, Meliya Irianto, IriantoR Jhonson Efendi Hutagalung Khairani, Alya Fauza Khairani, Siti Fadillah Kifti, Wan Mariatul Maringan Sianturi Marpaung, Nasrun Mayhaky, Ade Mesran, Mesran Muhammad Ardiansyah Sembiring Muhammad Iqbal Ningsih, Ade Irma Suriya Nofriadi Nofriadi Novita, Ine Nuriadi Manurung Nursela, Imay Nurwati Nurwati Nurwijayanti Panjaitan, Arya Armando Pradipa, Naila Hanni Putra, Wikra Wardhana Wijaya Putri, Pristiyanilicia Rahmadani, Nurul Rahmadita, Rahmadita Rahmawati, Rahmawati Riki Andri Yusda Risnawati Risnawati Rolly Yesputra SANTOSO SANTOSO Saputra, Endra Siagian , Yessica Siagian, Yessica Sihombing, Fadhil Nur Afif Siregar, Iqbal Kamil Sri Wulan, Sri Suginam Suparmadi, Suparmadi Syafrida Hafni Sahir Syahputra, Abdul Karim Titin, Tri Wanti Umairoh, Siti Ummi Kalsum Veronika, Devina Yusda, Riki Andri