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Dewi Anggraeni
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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RANCANGAN BANGUN SISTEM BULLWHIP EFFECT PADA PT. MITRA ASAHAN SELALU JAYA KECAMATAN SIMPANG EMPAT MENGGUNAKAN SUPPLY CHAIN MANAGEMENT (SCM) Nasution, Irmawati; Anggreani, Dewi; Santoso, Santoso
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.6466

Abstract

In distributing 3kg LPG to the public, PT Mitra Asahan Always Jaya has 51 permanent base partners with various contracts and different quota amounts. Currently subsidized 3kg LPG agents are not permitted to sell subsidized 3kg LPG directly to consumers. With a working area with a very large number of requests from each agent, this is due to the large number of base partners having food trading businesses, not to mention having to meet the demand for household gas, micro businesses and retailers. so that the distribution chain at PT Mitra Asahan Always Jaya, Simpang Empat District, has an erratic demand, the gas distribution system to bases is uneven and not fulfilled due to the gas order management data not being well structured, bases are unable to order gas faster than usual. because the gas quota stock at PT Mitra Asahan Always Jaya, Simpang Empat District, is insufficient, this is due to the lack of management analysis in the gas supply at the base. Many bases have made gas orders, but officers in the field do not communicate to management about the gas requirements actually needed by the base, so that distributors or bases sometimes have to bear losses due to running out of stock
Perancangan CRM Penjualan Sparepart Motor Di Imam Motor Desa Bangun Sari Guntur Maha Putra; M. Subhan Saragih; Sudarmin Sudarmin; Dewi Anggraeni
Jurnal Ilmiah Multidisiplin Nusantara (JIMNU) Vol. 1 No. 2 (2023): JIMNU - JULI
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.343 KB) | DOI: 10.59435/jimnu.v1i2.125

Abstract

Penelitian ini bertujuan untuk merancang dan membuat aplikasi penjualan berbasis Customer Relationship Management (CRM) untuk meningkatkan pertumbuhan profitabilitas jangka panjang pada Imam Motor. Permasalahan yang terjadi pada Imam Motor masih melakukan sistem pemasaran secara manual dengan market yang terbatas pada daerah sekitar serta belum adanya sistem Customer Relationship Management (CRM) yang berguna untuk mencari pelanggan baru dan mempertahankan pelanggan lama dengan berbasis web. Hasil dari penelitian yang dilakukan pada Imam Motor adalah penerapan aplikasi Customer Relationship Management (CRM) penjualan sparepart motor sehingga dapat mengelola penjualan dan mendapatkan database pelanggan yang lebih banyak yang dapat melakukan pemesanan secara online.
Penerapan Microsoft Power BI dalam Pengolahan dan Visualisasi Data Statis dan Interktif Dewi Anggraeni; Dewi Maharani; Guntur Maha Putra
Interaksi : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2024): Interaksi - Juni
Publisher : PT. Faaslib Serambi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66341/interaksi.v1i1.32

Abstract

Power BI memfasilitasi integrasi berbagai sumber data, termasuk data pendaftaran siswa, kehadiran, hasil evaluasi, dan feedback peserta kursus. Visualisasi interaktif yang disediakan oleh Power BI memudahkan pengelola lembaga untuk mengidentifikasi tren, pola, dan wawasan penting terkait performa kursus, tingkat kepuasan siswa, serta efektivitas pengajaran. Selain itu, kemampuan untuk membuat dan membagikan laporan serta dashboard secara real-time meningkatkan kolaborasi dan transparansi di antara staf dan manajemen. Studi kasus dari beberapa lembaga kursus komputer menunjukkan bahwa penggunaan Power BI dapat memberikan wawasan yang lebih baik untuk strategi pemasaran, peningkatan kurikulum, dan penjadwalan kursus yang lebih efisien. Dengan demikian, Microsoft Power BI menjadi alat yang vital dalam pengelolaan dan visualisasi Big Data di lembaga kursus komputer
ECRM Strategy In Improving Services And Sales Of Electronic Products Qevin Dwi Rafitrah; Dewi Anggraeni; Ruri Ashari Dalimunthe
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.648

Abstract

Business competition in the era of globalization demands companies to continuously adapt, one of which is through the implementation of Electronic Customer Relationship Management (E-CRM). Mega Cell Sei Piring Pulau Rakyat, a retail store for electronic products, faces challenges in the form of inconsistent sales fluctuations and customer management that is still manual. If this unstable sales pattern continues without improvement, it has the potential to disrupt profitability and create a risk of loss. This study aims to implement an E-CRM strategy as a strategic solution to improve customer service, optimize sales management, and maintain the company's revenue stability. This qualitative research produces a design and prototype of a web-based E-CRM system (PHP and MySQL) that enables transaction recording, product management, promotion management, and integrated sales reporting. The E-CRM system that has been built facilitates market segmentation and better customer interaction, thus it is expected to improve operational efficiency, reach a wider market through online information access, and encourage customer attraction and loyalty through data-based promotional offers
Sistem E-Customer Relationship Management Berbasis Web untuk Pengelolaan Pelanggan Nur Sabrina; Dewi Anggraeni; Akmal Nasution
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3353

Abstract

Advances in information technology are driving businesses to utilize digital systems to improve the quality of customer service. Cafe Kekynian, as a culinary business, still faces challenges in managing customer data and transactions, which were previously handled manually, making it difficult to record transaction histories and monitor customer activity. This study aims to design and implement a web-based Customer Relationship Management (CRM) system to support more effective customer relationship management. The research method employed is software engineering using the Software Development Life Cycle (SDLC) approach, which includes the stages of requirements analysis, system design, implementation, and system testing. Research data was obtained through observation, interviews, and documentation conducted at Cafe Kekynian. System testing was performed using the Black Box Testing method to ensure that every system function operates in accordance with user needs. The results of the study indicate that the developed CRM system is capable of integrating customer data management, transaction recording, and purchase history storage into a single centralized database. The implementation of this system facilitates managers in monitoring customer activities, improves the efficiency of transaction data management, and supports the formulation of more effective customer service strategies.
Penerapan Spk Untuk Rekomendasi Obat Batuk Anak Berbasis Topsis Di Apotek Keluarga Irma Dewi; Dewi Anggraeni; Mustika Fitri Larasati
J-Com (Journal of Computer) Vol. 6 No. 1 (2026): MARET 2026
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v6i1.4433

Abstract

Abstract: The selection of pediatric cough medicine at Apotek Keluarga is currently subjective and highly dependent on the pharmacist's experience, which potentially leads to inconsistent recommendations for customers. This research aims to develop a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to provide objective, fast, and accurate drug recommendations. The assessment criteria used in this system include cough type, side effects, age, and drug price, which are adjusted to clinical needs and consumer preferences. TOPSIS was chosen for its ability to rank drug alternatives based on their relative closeness to the positive ideal solution and the farthest distance from the negative ideal solution. The system development process involved problem identification, literature study, and data collection through interviews and direct field observations. The results indicate that the implementation of the TOPSIS method is effective in producing a list of cough medicine recommendations tailored to the specific conditions of pediatric patients. With this web-based system, the drug selection process becomes more transparent, systematic, and efficient, thereby enhancing the quality of pharmaceutical services at Apotek Keluarga. Keywords: Decision Support System, TOPSIS, Pediatric Cough Medicine, Apotek Keluarga. Abstrak: Pemilihan obat batuk anak di Apotek Keluarga saat ini masih bersifat subjektif dan sangat bergantung pada pengalaman apoteker, sehingga berpotensi menimbulkan ketidakkonsistenan dalam pemberian rekomendasi kepada pelanggan. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) guna memberikan rekomendasi obat secara objektif, cepat, dan akurat. Kriteria penilaian yang digunakan dalam sistem ini meliputi jenis batuk, efek samping, usia, dan harga obat, yang disesuaikan dengan kebutuhan klinis serta preferensi konsumen. Metode TOPSIS dipilih karena kemampuannya dalam meranking alternatif obat berdasarkan kedekatan relatif terhadap solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Proses pengembangan sistem dilakukan melalui tahapan identifikasi masalah, studi literatur, serta pengumpulan data melalui wawancara dan observasi langsung di lapangan. Hasil penelitian menunjukkan bahwa penerapan metode TOPSIS efektif dalam menghasilkan urutan rekomendasi obat batuk yang paling sesuai dengan kondisi spesifik pasien anak. Dengan adanya sistem berbasis web ini, proses pemilihan obat menjadi lebih transparan, sistematis, dan efisien, sehingga mampu meningkatkan kualitas pelayanan farmasi di Apotek Keluarga. Kata kunci: Sistem Pendukung Keputusan, TOPSIS, Obat Batuk Anak, Apotek Keluarga.
IMPLEMENTATION OF XGBOOST FOR PREDICTING STUDENT GRADUATION USING SIMULATED DATASET Dewi Anggraeni; Sri Rezki Maulina Azmi
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 3 (2026): Juni 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.v12i3.4644

Abstract

Abstract: Student graduation is an urgent matter that is an indicator of the success of a university in producing its learning output. Several factors influence student graduation such as GPA, attendance, late taking credits, and lack of student involvement in academic activities. The urgency of this research, universities need a method that is able to predict student graduation early so that it can provide academic intervention to students who have the potential to experience delays or fail to graduate. However, limited access to real academic data is often an obstacle in the development of predictive models, Therefore, this study aims to implement the XGBoost algorithm to predict student graduation based on several academic variables, namely the Cumulative Grade Point Average (GPA), the number of credits taken, the percentage of attendance, and the average grade of students. Model training using the XGBoost algorithm using a simulation dataset of 500 students who are labeled as graduating into two classes, namely passed and failed. The results of the study showed that the classification performance was very good with an accuracy value of 99.6%, Precision 99.7%, recall 99.4%. Keywords: xgboost algorithm; data mining; student graduation Abstrak: Kelulusan mahasiswa merupakan hal urgensi yang menjadi indikator keberhasilan sebuah perguruan tinggi dalam menghasilkan output pembelajarannya. Beberapa Faktor yang mempengaruhi kelulusan mahasiswa seperti IPK, kehadiran, keterlambatan pengambilan SKS, serta kurangnya keterlibatan mahasiswa dalam aktifitas akademik. Yang menjadi urgensi penelitian ini, Perguruan tinggi memerlukan suatu metode yang mampu memprediksi kelulusan mahasiswa secara dini sehingga dapat memberikan intervensi akademik kepada mahasiswa yang berpotensi mengalami keterlambatan atau tidak lulus. Namun, keterbatasan akses terhadap data akademik riil sering menjadi kendala dalam pengembangan model prediksi, Oleh karena itu, penelitian ini bertujuan mengimplementasikan algoritma XGBoost untuk memprediksi kelulusan mahasiswa berdasarkan beberapa variabel akademik, yaitu Indeks Prestasi Kumulatif (IPK), jumlah SKS yang ditempuh, persentase kehadiran, dan nilai rata-rata mahasiswa. Pelatihan model menggunakan algoritma XGBoost dengan menggunakan dataset simulasi 500 mahasiswa yang diberi label kelulusan menjadi dua kelas yaitu lulus dan tidak lulus. Hasil penelitian menunjukan bahwa performance klasifikasi yang sangat baik dengan nilai accurasi sebesar 99,6%, Precision 99,7%, recall 99,4%. Kata kunci: algoritma xgbosst; kelulusan mahasiswa; penambangan data
Edukasi Literasi Digital Al-Qur’an Berbasis Web Untuk Penguatan Pengetahuan Dan Sikap Spiritual Dewi Maharani; Dewi Anggraeni; Arninda Sekar Sari Siregar
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 2 (2026): April 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i2.4591

Abstract

Abstract: This community service activity aims to address the problem of low digital lit-eracy and limited access to reliable Islamic references among members of the Mothers' Association of PT Bakrie Sumatera Plantations Tbk Tanjung Raja Estate 2. The method applied is community education and training by introducing a web-based Islamic infor-mation system, namely the Al-Wa’ie portal. This portal provides comprehensive Islamic solutions and easy-to-understand interpretations of the Quran. The results of the activity showed that technical assistance successfully increased the digital skills of participants in accessing religious information independently (success reached 70% through interview techniques). In addition, the integration of spiritual guidance with technology training has strengthened the spiritual attitudes of the congregation. In conclusion, the use of web-based information systems has proven effective in bridging the gap between technology and spir-ituality, and encouraging the formation of a more knowledgeable and spiritually steadfast community. Keywords: portal al-wa’ie; digital literacy; perwiritan; religious information; spiritual attitude Abstrak: Kegiatan pengabdian masyarakat ini bertujuan untuk mengatasi permasalahan rendahnya literasi digital dan keterbatasan akses rujukan keislaman yang tepercaya pada anggota Perwiritan Ibu-ibu Pondok PT Bakrie Sumatera Plantations Tbk Tanjung Raja Es-tate 2. Metode yang diterapkan adalah pendidikan masyarakat dan pelatihan dengan mem-perkenalkan sistem informasi keislaman berbasis web, yaitu portal Al-Wa’ie. Portal ini menyediakan solusi islami yang komprehensif dan tafsir Al-Qur'an yang mudah dipahami. Hasil kegiatan menunjukkan bahwa pendampingan teknis berhasil menambah kecakapan digital peserta dalam mengakses informasi keagamaan secara mandiri (keberhasilan men-capai 70% melalui teknik wawancara). Selain itu, integrasi bimbingan spiritual bersama pelatihan teknologi telah memperkuat sikap spiritual jamaah. Simpulannya, penggunaan sistem informasi berbasis web terbukti efektif menjembatani celah antara teknologi dan spiritualitas, serta mendorong terbentuknya komunitas yang lebih berpengetahuan dan teguh secara spiritual. Kata kunci: portal al-wa’ie; literasi digital; majelis taklim; sikap spiritual; sistem informasi
METODE K-MEANS UNTUK KLASIFIKASI PENJUALAN DI TOKO SINAR FASHION DAN BANANA BABY SHOP DI KOTA KISARAN Dhea Nurul Utami; Dewi Anggraeni; Mardalius
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6620

Abstract

Sinar Fashion and Banana Baby Shop are businesses that sell children's supplies with a wide variety of products. However, the problem they face is suboptimal inventory management due to the lack of an accurate sales classification system. This makes it difficult to understand consumer preferences and determine efficient procurement strategies. This study aims to apply a web-based K-Means Clustering algorithm to automatically group children's product sales based on characteristics and sales volume. The research methodology includes six stages: data collection, problem identification, literature review, system design using UML, system development using PHP and Sublime Text, and system implementation. Sales data from February to May 2025 was used as training data for the clustering process. The system is designed to group products into several clusters, such as best-selling, less popular, and non-selling products. The results of the study indicate that the K-Means method is effective in identifying similar sales patterns between products. The quality of the clustering was evaluated using two metrics, namely the silhouette score and the Davies-Bouldin Index. A silhouette score of 0.74 indicates good clustering quality, while the Davies-Bouldin Index of 0.42 shows a fairly clear separation between clusters. The combination of these two metrics reinforces the validity of the clustering results. The application of this system helps store owners make more informed decisions, such as inventory planning, promotional strategies, and distribution efficiency.
Analysis Of Consumer Satisfaction Of Smartphone Repair Services At Samsung Service Center Using SAW Fahmi Fatdhlurrahman Manurung; Dewi Anggraeni; Rohminatin Rohminatin
Brilliance: Research of Artificial Intelligence Vol. 6 No. 3 (2026): Brilliance: Research of Artificial Intelligence, Article Research August 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i3.8760

Abstract

This study aims to develop a decision support system to evaluate customer satisfaction levels using the Simple Additive Weighting (SAW) method. The background of this research is based on the need for an objective and structured approach in assessing customer satisfaction in service environments, where manual evaluation is often subjective and inefficient. The problem addressed in this study is the difficulty in measuring customer satisfaction accurately and consistently based on multiple criteria. The objective of this research is to implement the SAW method in a computerized system to improve the accuracy and efficiency of customer satisfaction evaluation. The research method involves data collection through observation and documentation, followed by system development and implementation of the SAW method. Several criteria are used in the evaluation process, including service attitude, repair speed, communication, facilities, and service cost, each assigned with specific weights. The results show that the system is able to calculate customer satisfaction scores effectively and rank customers based on predefined criteria. The implementation of the SAW method provides more objective and consistent evaluation results compared to manual assessment. The conclusion indicates that the developed system can assist administrators in making better decisions related to service quality improvement and customer satisfaction management.
Co-Authors Abdul Kholiq Abidi, Ihsan Afnida, Riska Fadila Ahmad Arif Ajrian Pra mudya Akmal Akmal Akmal Akmal Akmal Nasution Anggraini, Fevi Dwi Apridonal M, Yori Ariddha Zikra Syah Arninda Sekar Sari Siregar Arridha Zikra Syah Astriani, Nurullita Ayu Anggraini Dewi Maharani Dewi Maharani Dewi Safitri Dhea Nurul Utami Fahdrina, Jihan Aulia Putri Fahmi Fatdhlurrahman Manurung Feby Wulandari Sembiring Guntur Maha Putra Guntur Maha Putra Harahap, Indra Ramadona Hommy Dorthy Ellyany Sinaga Hutagaol, Vria Irma Dewi Irmawati Nasution Jamhari Jamhari M. Subhan Saragih Maharani, Dewi Mardalius Margolang, Ririn Yulia Sari Muhammad Rizki Mustika Fitri Larasati Muthia Dewi Muthia Dewi Nata, Andri Nur Aini Nur Sabrina Nurul Fadila Putri Nurwati Nurwati Pristiyanilicia Putri Qevin Dwi Rafitrah Rahayu, Elly Rahmadhani, Siti Rangkuti, Bucin Ramadhani Reza Arif Sya’bana Rika Nofitri Rizaldi Rizaldi Rizaldi Rizaldi, Rizaldi Rohminatin Rohminatin Ruri Ashari Dalimunthe safrian aswati sahren, sahren Santoso Santoso SANTOSO SANTOSO Sapriani Lubis Sri Rezeki Maulina Azmi Sri Rezki Maulina Azmi Sri Rezki Maulina Azmi Sudarmin Sudarmin Sudarmin Sumantri Sumantri Suparmadi Suparmadi Tika Christy