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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Journal of Information Systems Engineering and Business Intelligence JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sebatik Kilat JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Infotekmesin Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika ABDI MOESTOPO: Jurnal Pengabdian pada Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Telematika MKOM Jurnal Pengabdian Masyarakat Nasional
Juanita, Safitri
Program Studi Sistem Informasi,Fakultas Teknologi Informasi, Universitas Budi Luhur
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Transportation Other

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Aplikasi Electronic Customer Relationship Management (E-CRM) untuk Meningkatkan Layanan Orang Tua pada Madrasah Aliyah Al-Falah Fadil Muhammad Zuhri; Safitri Juanita
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9439

Abstract

Competition between private schools in New Student Admissions (PSB) requires the right strategy, namely implementing Electronic Customer Relationship Management (E-CRM). Madrasah Aliyah (MA) Al-Falah is currently having a problem with decreasing the number of prospective new students (CSB) during the pandemic because the CSB registration process is carried out offline, and brochures are distributed when CSB comes to school. Apart from that, there is no media for alumni to provide positive reviews or for students' parents to give criticism and suggestions. Therefore, this research contributes to designing an E-CRM application to increase the number of CSB and student-parent services at MA Al-Falah. This research aims to simplify the CSB admission process by implementing two stages of CRM, namely acquiring and retaining, to increase the loyalty of parents so that their children return to school at MA Al-Falah and provide solutions in terms of school promotions, alumni reviews, and criticism of suggestions from students' parents. The method used in this research is qualitative research with descriptive analysis and the Waterfall system development method. This research concludes that the E-CRM application at MA Al-Falah helps make the PSB process easier because it features a registration form, registration fee information and discount coupons. The E-CRM system can also increase the loyalty of students' parents because it has a suggestion and criticism feature.
PREDIKSI JUMLAH TENAGA KERJA ASING DI JAWA BARAT MENGGUNAKAN PERBANDINGAN ALGORITMA SUPPORT VECTOR REGRESSION DAN DECISION TREE REGRESSION Farill Andika Wardana; Safitri Juanita
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6003

Abstract

Beberapa tahun ini, Indonesia sedang menghadapkan masalah mengenai peningkatan jumlah tenaga kerja asing yang masuk ke Indonesia, salah satunya di provinsi Jawa Barat. Sehingga diperlukan model prediksi untuk memprediksi jumlah tenaga kerja asing yang masuk di provinsi Jawa Barat. Metode yang digunakan pada penelitian ini adalah CRISP-DM, dengan menggunakan dataset jumlah tenaga kerja asing di Jawa Barat periode 2014-2023, dan pada tahap pemodelan membandingkan 2 algoritma yaitu Decision Tree Regression (DTR) dan Support Vector Regression (SVR) dengan metode pengujian Cross-Validation (CV). Hasil pengujian performa kedua algoritma menggunakan Mean Squared Error (RMSE) dan Mean Absolute Error (MAE). Penelitian ini bertujuan untuk menemukan model peramalan untuk melakukan prediksi terhadap jumlah tenaga kerja asing yang masuk di provinsi Jawa Barat. Kesimpulan penelitian ini adalah model prediksi yang memiliki performa lebih unggul adalah Decision Tree Regression (DTR) dengan nilai RMSE sebesar 78.04% dan MAE sebesar 69.57%, sedangkan Support Vector Regression (SVR) hanya memiliki nilai RMSE sebesar 81.80%. dan MAE sebesar 70.79%. 
Co-Authors Abid Famasya Abdillah Ahya Ulumuddin Ananda Heruansyah Apriantoni Apriantoni Asef Solehuddin Atha Shalih Fatin Azrul Akbar Cornelius Bagus Purnama Putra Devita Diah Prasetyaningrum Diana Permatasari Diana Purwitasari Dolly Virgian Shaka Yudha Sakti Eva Febriyanti Fadil Muhammad Zuhri Farill Andika Wardana Fildzah Fitriani Grace Gata, Grace Ika Disja Afriyani Ita Novita Joko Wijayanto Kurnia Ramadhan Laura Putri Wijaya Handoyo Lukas Ono Harsongko M. Anif Mahmud Didi Nugraha Misbahul Fajri Mochamad Andri Muhammad Anif Muhammad Wildan Muzdalifah Muzdalifah Peter Jaya Putri Hayati Reva Ragam Santika Ripal Abadi Rizky Indra Ramadhani Samsinar Samsinar Sarita Fabriani Siswanto Siswanto Sopan Bukhari Lubis Syahnaz Sofinar Amru Wahyu Pramusinto Win darto Yuliazmi, Yuliazmi