Article Per Year (5 Year)
p-Index From 2021 - 2026
8.497
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi JSI: Jurnal Sistem Informasi (E-Journal) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Prosiding SNATIF E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal DISPROTEK Jurnal Teknologi Informasi MURA Journal of Dedicators Community Jurnal Nasional Komputasi dan Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal SITECH : Sistem Informasi dan Teknologi JURSIMA (Jurnal Sistem Informasi dan Manajemen) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Informasi dan Sistem Komputer Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Software Engineering Ampera Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Jurnal UNITEK Jurnal Dialektika Informatika (Detika) Jurnal Mahasiswa Sistem Informasi (JMSI) GANESHA: Jurnal Pengabdian Masyarakat ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Indonesian Journal of Networking and Security - IJNS Muria Jurnal Layanan Masyarakat Ilmu Komputer untuk Masyarakat Jurnal Teknik Informatika PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Sains Informatika Terapan (JSIT) Malcom: Indonesian Journal of Machine Learning and Computer Science Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Teknik Indonesia JURSIMA Jurnal Teknologi Informasi Mura JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Sistem Informasi dan Manajemen
Diana Laily Fithri
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

Published : 103 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 103 Documents
Search

 7   8   9   10   11 
MODEL KLASIFIKASI TIPE PERUMAHAN DENGAN PENDEKATAN LOGISTIC REGRESSION UNTUK MENDUKUNG KEPUTUSAN INVESTASI PROPERTI Fithri, Diana Laily; Nugraha, Fajar; Romadhon, Zainur
Jurnal Dialektika Informatika (Detika) Vol. 6 No. 2 (2026): Jurnal Dialektika Informatika(Detika) Vol.6 No.2 Mei 2026
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v6i2.16293

Abstract

Perkembangan sektor perumahan di Indonesia mengalami peningkatan signifikan seiring dengan pertumbuhan jumlah penduduk dan urbanisasi yang pesat. Klasifikasi tipe perumahan berdasarkan aspek seperti harga, luas bangunan, jumlah kamar, dan lokasi menjadi penting untuk membantu pengembang, konsumen, serta pemerintah dalam pengambilan keputusan. Namun, permasalahan muncul karena proses klasifikasi tipe perumahan sering dilakukan secara manual dan subjektif, sehingga berpotensi menimbulkan ketidaktepatan dalam pengelompokan dan penentuan kategori hunian. Selain itu, belum banyak penelitian yang memanfaatkan pendekatan machine learning untuk menghasilkan model klasifikasi yang objektif dan efisien dalam konteks pasar properti di Indonesia. Penelitian ini bertujuan untuk mengklasifikasikan tipe perumahan di Kota Bandung menggunakan algoritma Logistic Regression sebagai metode machine learning yang mampu memprediksi kategori berdasarkan variabel input yang tersedia. Dataset yang digunakan berasal dari Kaggle dengan jumlah sekitar 7.000 entri dan delapan atribut utama, yaitu house_name, location, bedroom_count, bathroom_count, carport_count, price, land_area, dan building_area. Proses pengolahan data dilakukan menggunakan Google Colab, dibantu dengan Microsoft Excel (fungsi IF) untuk klasifikasi awal, serta pembuatan model di RapidMiner. Tahapan penelitian mencakup pengumpulan data, praproses data, pemodelan, dan evaluasi performa model. Hasil penelitian menunjukkan bahwa Logistic Regression mampu mengelompokkan tipe perumahan dengan tingkat akurasi yang memadai. Model ini dinilai efektif karena mudah diinterpretasikan dan efisien untuk data terstruktur. Implementasi model ini diharapkan dapat menjadi dasar dalam analisis pasar properti, membantu konsumen dalam menentukan pilihan hunian, serta mendukung kebijakan pengembangan sektor perumahan di Indonesia
Implementasi sistem informasi pelayanan administrasi kelurahan (SIPAKEL) berbasis web untuk digitalisasi administrasi pengajuan surat di Kelurahan Wergu Kulon Nanda Lutfi Rizqiyanto; Diana Laily Fithri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39666

Abstract

Abstrak Pelayanan administrasi persuratan di Kelurahan Wergu Kulon saat ini masih dilakukan secara manual, yang menyebabkan proses pelayanan menjadi lambat, rentan terhadap kesalahan pencatatan, dan memiliki transparansi yang rendah. Kegiatan pengabdian ini bertujuan untuk mengimplementasikan Sistem Informasi Pelayanan Administrasi Kelurahan (SIPAKEL) berbasis web guna mendigitalisasi layanan administrasi persuratan secara end-to-end. Kegiatan pengabdian dilaksanakan pada 12 Januari hingga 21 Februari 2026 di Kelurahan Wergu Kulon, Kota Kudus, dengan melibatkan 3 perangkat kelurahan sebagai mitra utama, yaitu Kepala Kelurahan, Sekretaris Kelurahan, dan staf operator administrasi, serta 1 orang perwakilan pengurus RT dan warga sebagai pengguna sistem. Metode yang digunakan adalah pendekatan Participatory Action Research (PAR) yang dikombinasikan dengan metode pengembangan perangkat lunak Waterfall, mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Secara kualitatif, hasil dari kegiatan ini adalah beroperasinya SIPAKEL (berbasis PHP Native dan MySQL) yang menerapkan empat hak akses utama (Warga, RT, Operator, Admin), serta dilengkapi fitur audit log dan notifikasi real-time untuk menjamin akuntabilitas data. Secara kuantitatif, sistem ini dirancang untuk mengurai antrian secara terukur, dimana digitalisasi sistem serupa terbukti mampu memangkas waktu tunggu pelayanan dari 2-3 hari menjadi 1 hari kerja saja. Secara keseluruhan, sistem ini diharapkan dapat mewujudkan tata kelola pelayanan yang lebih tertib, cepat, dan modern. Kata kunci: digitalisasi; pelayanan publik; sistem informasi; kelurahan; SIPAKEL. Abstract The administrative letter service in Wergu Kulon Subdistrict is currently still carried out manually, which causes the service process to be slow, prone to recording errors, and has low transparency. This community service activity aims to implement a Web-based Subdistrict Administrative Service Information System (SIPAKEL) to digitize administrative letter services end-to-end. The community service activity was carried out from January 12 to February 21, 2026, in Wergu Kulon Subdistrict, Kudus City, involving 3 subdistrict officials as main partners, namely the Head of Subdistrict, Subdistrict Secretary, and administrative operator staff, as well as 1 representative of the RT management and residents as system users. The method used is a Participatory Action Research (PAR) approach combined with the Waterfall software development method, covering the stages of requirements analysis, system design, implementation, testing, and maintenance. Qualitatively, the result of this activity is the operation of SIPAKEL (based on PHP Native and MySQL) which implements four main access rights (Citizen, Neighborhood, Operator, Admin), and is equipped with audit log features and real-time notifications to ensure data accountability. Quantitatively, this system is designed to manage queues in a measurable manner, where the digitization of a similar system has been proven to reduce service waiting time from 2-3 days to only 1 working day. Overall, this system is expected to realize a more orderly, faster, and modern service management. Keywords: digitalization; public service; information system; village administration; SIPAKEL.
Penerapan sistem informasi pembuatan surat keterangan waris berbasis web sebagai upaya meningkatkan pelayanan administrasi di Kelurahan Wergu Kulon Mohammad Maulana Afriza; Diana Laily Fithri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39683

Abstract

AbstrakPelayanan pembuatan Surat Keterangan Waris di Kelurahan Wergu Kulon, Kabupaten Kudus, sejauh ini masih bersifat manual sehingga proses pencatatan data kurang terstruktur, pencarian arsip lambat, dan rawan kesalahan penulisan. Program pengabdian ini dilaksanakan dengan tujuan menghadirkan Sistem Informasi berbasis web untuk pengelolaan SKW sebagai langkah peningkatan efektivitas dan keteraturan layanan administrasi Kelurahan. Kegiatan dilaksanakan di Kantor Kelurahan Wergu Kulon pada 12 Januari hingga 21 Februari 2026, dengan melibatkan 2 orang tim pelaksana serta 4 peserta dari pihak kelurahan yang terdiri atas Lurah, Sekretaris, Staf Administrasi, dan Perwakilan Warga sebagai penguji sistem. Metode pelaksanaan mencakup observasi proses manual, pengembangan sistem, demo kepada penyelia, pengujian Black Box Testing, dan penyerahan sistem. Sistem dilengkapi fitur login, dashboard user/admin, form pengajuan data pemohon/pewaris/ahli waris, pengelolaan arsip, pencarian data, dan cetak surat.. Hasil kegiatan menunjukkan semua 9 fitur utama berfungsi optimal (100% sukses pada Black Box Testing). Evaluasi bersama pihak kelurahan menunjukkan bahwa pegawai merasa puas dengan sistem yang diterapkan. Satu masukan yang diperoleh adalah penambahan fitur unggah file tanda tangan, yang kemudian ditindaklanjuti dengan perbaikan sistem sebelum diserahterimakan.. Sistem mengurangi pekerjaan berulang, mempercepat proses dari manual ke digital, mempermudah pemantauan status pengajuan oleh pemohon, serta meningkatkan kerapian pengelolaan data bagi petugas. Secara keseluruhan, pelayanan kini lebih efektif dan efisien. Kata kunci: kelurahan; pelayanan publik; pengabdian masyarakat; surat keterangan waris; sistem informasi. AbstractThe issuance of Inheritance Certificates (SKW) at Wergu Kulon Village Office, Kudus Regency, has been conducted manually, resulting in unstructured data recording, slow archive retrieval, and error-prone documentation. This community service program was carried out to introduce a web-based information system for SKW management as a means of enhancing the effectiveness and orderliness of village administrative services. The activity was conducted at Wergu Kulon Village Office from January 12 to February 21, 2026, involving 2 team members and 4 participants from the village office, consisting of the Village Head, Secretary, Administrative Staff, and Community Representative as system testers. Implementation methods included observation of manual processes, system development, demonstration to supervisors, Black Box Testing, and system handover. The system features login, user/admin dashboards, applicant/heir data submission forms, archive management, data search, and certificate printing. Results show that all 9 main features functioned optimally, achieving 100% success in Black Box Testing. Evaluation conducted with the village office showed a positive response, with staff expressing satisfaction with the implemented system. One feedback received was the addition of a signature file upload feature, which was subsequently addressed before the system was officially handed over. The system reduces repetitive tasks, accelerates the transition from manual to digital processes, facilitates application status monitoring for applicants, and improves data management for staff. Overall, administrative services are now more effective and efficient. Keywords: community service; information system; inheritance certificate; public service; village.
PERBANDINGAN KINERJA KNN DAN DECISION TREE DALAM KLASIFIKASI POTENSI AKADEMIK SISWA SMP WILAYAH MEJOBO: COMPARISON OF KNN AND DECISION TREE PERFORMANCE IN CLASSIFICATION OF ACADEMIC POTENTIAL OF JUNIOR HIGH SCHOOL STUDENTS IN MEJOBO AREA Muhammad Fahrino Haykal Febrian; Wiwit Agus Triyanto; Diana Laily Fithri
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6412

Abstract

Identification of student academic potential, which still relies on traditional methods, is often inaccurate and time-consuming, potentially hindering early intervention for students who need support. This study offers a solution, comparing the effectiveness of the K-Nearest Neighbor (KNN) and Decision Tree algorithms in classifying the academic potential of 7th-grade students at SMP Negeri 1 Mejobo Kudus and SMP Negeri 2 Mejobo Kudus. This study utilized a dataset of 1,100 student data, with key features including Indonesian and Mathematics scores, reading, writing, and arithmetic test results, and behavioral records. Our goal is to help schools precisely identify students who require special attention early on. This system was developed through comprehensive data collection and the application of refined classification models. The results showed that the KNN model achieved 99% accuracy, while the Decision Tree model fell slightly short at 98%. Despite the high accuracy achieved, cross-validation and in-depth analysis were conducted to ensure model generalization and mitigate potential overfitting. Both algorithms proved highly effective in providing accurate mapping of academic potential, with KNN demonstrating slightly superior performance. With the presence of this web-based system, it is hoped that schools can more easily and quickly identify student potential, reduce misidentification, and make more appropriate and inclusive educational decisions, for the sake of better student learning quality.  
PENERAPAN ALGORITMA MACHINE LEARNING UNTUK PENGELOMPOKAN SISWA BERDASARKAN ASPEK AKADEMIK DAN NON-AKADEMIK Hesti Sabrila Aulia; Muhammad Arifin; Diana Laily Fithri
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.v11i1.7249

Abstract

This study aims to develop a student potential clustering system as a strategy to address the limitations of academic identification processes that have traditionally been conducted manually, subjectively, and are prone to observational bias. The K-Means Clustering and K-Medoids algorithms were applied to a dataset consisting of 1,023 student records from SMP Negeri 2 Jekulo Kudus and SMP Negeri 3 Jekulo Kudus, using variables such as semester report card grades, core subjects including Mathematics, Science, and Indonesian Language, overall average scores, attitude assessments, and participation in extracurricular activities. The study employed a cluster number of (k = 3), representing High, Medium, and Low student potential categories for educational mapping purposes. The data preprocessing stage included missing value imputation using mean values and normalization of numerical features using RobustScaler to minimize the influence of outliers without removing student data. The evaluation results indicate that the K-Means algorithm achieved better clustering performance than K-Medoids based on evaluation metrics, with a Silhouette score of 0.529 and a Davies–Bouldin Index of 0.879, making it more suitable for the characteristics of the student dataset used. The system was subsequently implemented as an interactive web-based application developed in Python using the Flask framework and a MySQL database, enabling centralized data management, real-time access, and visualization of clustering results through a user-friendly interface. With this system, schools are expected to be able to map student potential more objectively, efficiently, and in a data-driven manner, thereby supporting learning strategy planning, intervention programs, and more targeted and inclusive educational decision-making.
IMPLEMENTATION OF EOQ AND ROP METHODS IN WEB-BASED INVENTORY MANAGEMENT AT CV KALIREJO MAKMUR fiki Marzuqi; Supriyono; Diana Laily Fithri
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.v11i1.7448

Abstract

CV Kalirejo Makmur is a distribution and trading company with several branch stores and a central warehouse for storing goods before distribution. Currently, the company faces challenges in inventory management, particularly in the process of requesting goods from branches, which is still conducted manually via WhatsApp. This condition leads to inefficiencies, delivery delays, recording errors, and difficulties in monitoring and reconciling stock data, resulting in overstock or understock situations that increase storage costs and disrupt distribution operations. The lack of an integrated system and real-time stock visibility also hinders management in making accurate decisions. To address these issues, the implementation of the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods is proposed as a strategic solution to optimize order quantities and improve inventory control. The EOQ and ROP based inventory management information system was developed using the PHP programming language and MySQL database with a responsive web-based interface. The implementation results show that the system generates an optimal order quantity recommendation of 3,435 units and a reorder point of 281 units, which can be used as a reference for procurement and replenishment decisions. These results indicate that the system is capable of reducing the risk of overstock and understock, improving inventory management accuracy, accelerating distribution processes, and supporting effective data-driven decision making.
Analisis Gaya Hidup Mahasiswa dalam Memprediksi Tingkat Stres Menggunakan Algoritma Decision Tree dan Random Forest Muchammad Thoha; Muhammad Ary Sanjaya Putra; Ary Kania Sya'diah; Aulia Nurhaliza; Diana Laily Fithri
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 2 (2025): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i2.282

Abstract

HIgh Stress levels in students are an important issue that can affect their mental health and academic performance. This study aims to analyze the influence of students' lifestyles on stress levels using Machine Learning approaches, specifically Decision Tree and Random Forest algorithms. Data was collected through surveys on sleep habits, diet, physical activity, and social media usage. The analysis results show that lifestyle has a significant correlation with stress levels, and the Random Forest model provides higher prediction accuracy than Decision Tree. The findings are expected to provide a basis for preventive decision-making to manage stress among students.
Comparative Study of Machine Learning Algorithms for Student Performance Prediction in Islamic Boarding Schools Ari Adaninggar; Muhammad Arifin; Diana Laily Fithri
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18673

Abstract

Al-Manshurin Ar-Rikzan Jepara Islamic Boarding School faces challenges in the early detection of potential declines in student achievement because the evaluation process still relies on manual recording. This study aims to design an interactive website-based Early Warning System to predict the final performance predicate of students by integrating academic data and non-academic behavior (mutabaah yaumiyah). The methodology used refers to the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. This study compares three classification algorithms: Decision Tree (C4.5), Naïve Bayes, and K-Nearest Neighbor (K-NN). To address class imbalance in the 210 original data records, the Synthetic Minority Over-sampling Technique (SMOTE) was applied to generate 450 balanced records, which were then evaluated using 10-Fold Cross Validation. The test results show that the Decision Tree (C4.5) algorithm produces the most superior performance with an Accuracy of 97.62%, Precision of 97.96%, and Recall of 97.62%. This superiority is driven by the decision tree structure's ability to map non-linear conditional rules relevant to the pesantren's absolute rules. As an applicative output, the best model is extracted into a Streamlit-based dashboard equipped with expert recommendations (feature importances). This system automatically highlights the variables contributing the highest risk, enabling administrators to formulate accurate intervention and mentoring steps before the semester evaluation ends.
Penerapan Customer Relationship Management pada Aplikasi Penjualan Online Toko Azzahra Integrasi Midtrans Muhammad Amzis Susanto; Diana Laily Fithri; Supriyono Supriyono
Jurnal SITECH : Sistem Informasi dan Teknologi Vol. 8 No. 1 (2025): JURNAL SITECH VOLUME 8 NO 1 TAHUN 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v8i1.15530

Abstract

Abstrak: Penelitian ini berfokus pada perancangan dan implementasi aplikasi penjualan online berbasis web untuk Toko Azzahra, sebuah toko baju yang berlokasi di Kota Kudus, dengan penerapan Customer Relationship Management (CRM) dan integrasi sistem pembayaran digital melalui Midtrans. Aplikasi ini dirancang untuk memperluas jangkauan pasar dan meningkatkan efisiensi operasional toko melalui pengelolaan data pelanggan, riwayat transaksi, serta pemberian promosi yang dipersonalisasi. Integrasi Midtrans mendukung proses transaksi digital yang aman dan otomatis mulai dari checkout hingga notifikasi pembayaran.Pengembangan sistem dilakukan dengan pendekatan rekayasa perangkat lunak, menggunakan framework Codegniter dan pengujian melalui Midtrans sandbox. Pengujian fungsional menunjukkan bahwa sistem berjalan stabil dengan waktu respons rata-rata 1,8 detik dan tingkat keberhasilan proses pembayaran mencapai 100% pada skenario uji lokal. Evaluasi awal terhadap pengguna terbatas mengungkapkan bahwa fitur CRM memudahkan pencatatan pelanggan dan meningkatkan potensi loyalitas. Meskipun sistem belum sepenuhnya diimplementasikan dalam lingkungan produksi, hasil pengujian awal menunjukkan bahwa aplikasi ini layak untuk digunakan dan berpotensi mendukung peningkatan performa bisnis Toko Azzahra. Penelitian ini memberikan kontribusi terhadap pengembangan aplikasi CRM berbasis web untuk sektor UMKM, khususnya dalam penerapan transaksi digital terintegrasi.
Analisis Churn Menggunakan Metode K-Means Clustering Berdasarkan Model LRFM Untuk Meningkatkan Retensi Pada Mahes Printing Bagus Joko Winarso; Diana Laily Fithri; Soni Adiyono
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4584

Abstract

In the competitive digital era, customer retention has become a critical factor for business sustainability, particularly in the digital printing industry which faces intense competition. Mahes Printing, despite recording a high transaction volume, continues to experience low repurchase rates due to fragmented and manual management of customer data and transaction history. This study aims to implement churn analysis within a Sales Management Information System using a Customer Relationship Management (CRM) approach supported by the LRFM (Length, Recency, Frequency, Monetary) model and the K-Means clustering algorithm. The results indicate that customers can be effectively grouped into three main clusters representing low, medium, and high churn risk levels. This segmentation facilitates the identification of customers with high churn potential, characterized by low Recency and Frequency values, thereby providing strategic insights to support data-driven decision-making and the development of more targeted and effective customer retention strategies.
Co-Authors - Sucipto - Supriyono Achmad Ridwan Achmad Ridwan, Achmad Aditiya, Natasya Aditya Firman Syah Adiyono, Soni Agil Rafsanjani, Ahmad Syaifudin Andani, Indah Setia Andy Prasetyo Utomo Andy Prasetyo Utomo Anindya, Dika Mufti Anteng Widodo Aprilia Damayanti Ari Adaninggar Arif Setiawan Arif Setiawan Arina Fawaida Arkanda, Rizal Naufal Farras Ary Kania Sya'diah Ashari Mahfud Aulia Ina Rahma Aulia Nurhaliza Bagus Joko Winarso Budi Gunawan Budiman, Nita Adriyani Budiman, Nita Andriani Burhanuddin, Anas Deni Agus Haryadi Diah Ayu Susanti Dian Aditya Dwika Mahendra Edris Zamroni Eka Wakhyu Agustina Eko Darmanto Fajar Nugraha Fajar Nugraha Fajar Nugraha Fandi Ahmad Fathon, Ulil fiki Marzuqi Firdausiyah, Auliya Gutti Zaidan Syauqi Habibullah, Eggy Agusti Handayani, Anisa Hesti Sabrila Aulia Hidayah, Lisna Iftikhar Rizqullah Ijlal, Muhammad Yusuf Luthfi Indah Lestari, Indah Indah Setia Andani Kurniawan, Muhammad David Lina Anjelina Mochammad Imron Awalludin Moh Adi Kurniawan Moh. Rizal Alfi Na'im Mohammad Fajar Sirullah Mohammad Maulana Afriza Muchammad Thoha Muhammad Amzis Susanto Muhammad Arifin Muhammad Ary Sanjaya Putra Muhammad Fahrino Haykal Febrian Muhammad Fajar Maulana Muhammad Rafif Rabbani Muhammad Rizki Arrohman Muhammad Wifqi Aufal Maulana Muhammad Zuliyanto Mukhamad Taqwa Nuddin, Mukhamad Taqwa Nanda Lutfi Rizqiyanto Narendra Saputra Natasya Aditiya Nesicha, Yutia Nia Nikmatul Khoiriyah Noor Latifah Noor Latifah Oktafiyani, Feby Oktavia, Adinda Bintang Paramitha Sylvia Dewi Pratama, Wildan Pratomo Setiaji Putri Kurnia Handayani Putri, Fadina Salwa Aulia Putri, Indriani Zabrina Putri, Noor Syafa’ah Kusuma R Rhoedy Setiawan Rahmawati, Sinta Devi Ratri Rahmawati Rika Santi Risnawati, Heni Rizkysari Meimaharani Rochim, Galuh Nur Rochmad Winarso Rochmad Winarso Rokhman, Arif Maulana Romadhon, Zainur Safera, Asywila Huda Safrida Ika Febrianti Saidun Basyar, Aminun Fais Salsabila, Syafira Sandi Ashriel Nugraha Santoso Santoso Sari, Nesti Listia Setiawan, Dave Andre Setiawan, Dave Andre Setyawan, Moh Dodi Shifaul Akmal Dzauqi Silvia Himmatul Aliyyah Soni Adiyono Sonia Shekha Anggriani Sri Mulyani Sulistiowati Apriliya Eka Wardani Supriyono Supriyono Supriyono Supriyono Supriyono Susanti, Diah Ayu Susanto, Muhammad Amzis Syaputa, Muhammad Rioardian Taufiq Hidayat Wiwit Agus Triyanto Yudie Irawan Yudie Irawan Zulfa Himmatul Ulya