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All Journal Jurnal Pengabdian UntukMu NegeRI Jurnal Ilmiah FIFO Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System Informatics for Educators and Professional : Journal of Informatics Applied Industrial Engineering Journal Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika INTI Nusa Mandiri JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Teknika Jurnal Bumigora Information Technology (BITe) Infotek : Jurnal Informatika dan Teknologi Jurnal Kajian Ilmiah Jurnal AbdiMas Nusa Mandiri Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Mahasiswa Sistem Informasi (JMSI) Journal of Students‘ Research in Computer Science (JSRCS) Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Aruna Mengabdi (ARMI) Jurnal Sains dan Teknologi Informasi Jurnal Ilmiah Sistem Informasi Informasi interaktif : jurnal informatika dan teknologi informasi Prawara Jurnal Pengabdian Masyarakat
Syifa Nur Rakhmah, Syifa Nur
Universitas Nusa Mandiri
Religion Humanities 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Pelatihan Design Grafis Online Menggunakan Aplikasi Canva Bagi Remaja Majelis Ta’lim Hidayatul Mubtadiin Aulianita, Rizki; Yunita, Norma; Rakhmah, Syifa Nur; Nisa , Khoirun
Jurnal Pengabdian UntukMu NegeRI Vol. 7 No. 1 (2023): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v7i1.4141

Abstract

Training or workshop is one way to hone one's interests and deepen one's talents. In this community service that has been carried out for the odd 2022-2023 period, we as Nusa Mandiri University lecturers carry out community service activities by carrying out Canva training. The Canva application that we use as a learning media tool for the youth of the Hidayatul Mubtadiin ta'lim assembly. This Canva training was attended by teenagers and the parents of the board of directors of the Hidayatul Mubtadiin ta'lim assembly in Tangerang City. This training aims to improve the ability of millennial youth in mastering Graphic Design, which is useful for increasing youth creativity in entrepreneurship such as making billboards, making banner posters. Logo, template for branding on social media. The method used is Waterfall, with a focus on building products or works using the Canva application. We obtained the results of the training through the distribution of questionnaires. The results of the training showed that 98% of the youth partners of the ta'lim assembly were satisfied with the activity. The assessment variables are mastery of the material, discipline, and satisfaction, each of which gets a score of Very Satisfactory Grade A. Keywords: servant, Canva
Analisis Tingkat Kepuasan Pengunjung Terhadap Website Ancol.Com Menggunakan Metode Webqual 4.0 Rakhmah, Syifa Nur; Nisa, Khoirun
Jurnal Ilmiah FIFO Vol 16, No 2 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i2.002

Abstract

Dengan menggunakan teknik pemasaran digital yang tepat, kita dapat menjangkau audiens yang lebih luas dan meningkatkan visibilitas brand secara online salah satunya pada destinasi wisata, meningkatkan jangkauan pemasaran, dan memudahkan wisatawan mengakses informasi mengenai objek wisata yang ingin dikunjunginya adalah melalui situs web. Ancol.com merupakan situs web resmi Taman Impian Jaya Ancol yang dapat digunakan untuk membeli dan mengiklankan tiket. Saat ini, kepuasan pengunjung menjadi salah satu faktor kunci penentu keberhasilan sebuah situs web. Akan tetapi, keberadaan situs web ini belum tentu menjamin tingkat kepuasan pengunjung secara optimal, karena diketahui bahwa untuk pembelian tiket wisata Ancol masih menggunakan platform pembelian tiket lainnya. Dengan demikian, untuk mengetahui sejauh mana situs web ancol.com telah memenuhi kebutuhan dan harapan pengunjung, maka dilakukan analisis tingkat kepuasan pengunjung terhadap situs web tersebut dengan menggunakan metodologi Webqual 4.0 berdasarkan tiga kriteria: user friendly, kualitas informasi, dan kualitas interaksi layanan. Hasil uji validitas penelitian menunjukkan setiap indikator pada kuesioner memiliki nilai r2 & r3, sehingga disimpulkan bahwa setiap indikator valid. Reliabilitas penelitian ini diukur melalui nilai alpha r sebesar 0,824, menunjukkan tingkat reliabilitas yang baik. Hasil analisis regresi berganda menunjukkan:  H0 ditolak serta H1, H2, dan H3 diterima Dari hasil analisis, tampak bahwa nilai R Square adalah 0,469. Ini menunjukkan bahwa ada pengaruh bersama variabel X1 (Penggunaan) dan X2 (Kualitas interaksi) terhadap variabel Y (Kualitas Informasi) sebesar 46,9%. Hasil pembahasan penelitian memperlihatkan bahwa informasi kualitas, interaksi layanan, dan usability dapat memengaruhi kepuasan pengguna terhadap website Ancol.com.
SISTEM REKOMENDASI POLA MAKAN SEHAT BERBASIS DATA SMARTPHONE DAN MECHINE LEARNING Kurniawan, Andre; Sutikno, Wahyu; Dian Yunita sari; Syifa Nur Rakhmah; Findi Ayu Sariasih; Imam Suyoto
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 7 No. 1 (2025): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v7i1.10608

Abstract

Perkembangan teknologi informasi telah memberikan efek signifikan dalam sektor kesehatan, salah satunya dengan penggunaan smartphone untuk memonitor aktivitas fisik pemakainya. Namun, banyak aplikasi kesehatan yang tersedia hanya menampilkan informasi aktivitas tanpa memberikan saran mengenai diet yang sesuai dengan kebutuhan individu. Penelitian ini bertujuan untuk menciptakan sistem rekomendasi pola makan sehat yang berbasis data dari smartphone dan machine learning dengan menggunakan algoritma K-Nearest Neighbors (KNN). Sistem ini dirancang untuk memanfaatkan data aktivitas pengguna yang diambil dari Google Fit, seperti jumlah langkah, tekanan darah, kadar gula darah, dan estimasi kalori, yang selanjutnya dikelola menggunakan algoritma KNN untuk mengidentifikasi kategori kebutuhan energi harian pemakai. Hasil dari klasifikasi ini digunakan untuk memberikan rekomendasi makanan yang relevan berdasarkan kondisi fisik pengguna. Proses pengembangan sistem dilakukan melalui metode Agile dengan kerangka kerja Scrum, yang mencakup langkah-langkah Product Backlog, Sprint Planning, Sprint Execution, dan Sprint Review. Implementasi yang berhasil menunjukkan bahwa sistem dapat menampilkan data aktivitas fisik pengguna secara langsung dan memberikan rekomendasi makanan yang sesuai dengan tingkat aktivitas mereka. Dengan demikian, sistem ini diharapkan dapat membantu pengguna dalam mengadopsi pola makan sehat yang disesuaikan serta meningkatkan kesadaran gizi di kalangan masyarakat.
Pelatihan Literasi Digital Gizi dan Tumbuh Kembang Balita: Pembuatan Konten Edukasi Posyandu Menggunakan Canva Sariasih, Findi Ayu; Widiarina; Rakhmah, Syifa Nur; Achyani, Yuni Eka
PRAWARA Jurnal ABDIMAS Vol 4 No 4 (2025): PRAWARA JURNAL ABDIMAS
Publisher : CV. Manha Digital

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

Abstract

Pelaksanaan kegiatan Pos Pelayanan Terpadu (Posyandu) berperan penting dalam meningkatkan kesehatan masyarakat, terutama pada aspek gizi dan tumbuh kembang balita. Namun, kegiatan promosi kesehatan di Posyandu umumnya masih dilakukan secara konvensional, seperti penyuluhan langsung dan penggunaan media cetak, sehingga belum menjangkau masyarakat luas secara optimal. Seiring meningkatnya penggunaan media sosial di kalangan ibu muda, diperlukan inovasi dalam penyampaian pesan kesehatan melalui media digital. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital kader Posyandu Mawar Melati melalui pelatihan pembuatan konten edukatif gizi dan tumbuh kembang balita menggunakan aplikasi Canva. Metode yang digunakan berupa pelatihan partisipatif yang mencakup penyampaian materi, demonstrasi, praktik langsung, serta sesi tanya jawab. Hasil kegiatan menunjukkan peningkatan keterampilan kader dalam merancang poster digital dan video pendek yang menarik, informatif, serta relevan dengan kebutuhan masyarakat. Selain menghasilkan konten digital yang dapat digunakan untuk edukasi rutin Posyandu, kegiatan ini juga mendorong kader untuk lebih percaya diri dalam memanfaatkan media sosial sebagai sarana promosi kesehatan. Dengan demikian, pelatihan ini menjadi langkah awal dalam memperkuat kapasitas kader Posyandu menuju transformasi digital di bidang kesehatan masyarakat.
Prediksi dan Pencegahan Risiko Burnout pada Pekerja Fleksibel Menggunakan Algoritma Random Forest Fauziah Mk, Noha Noor; Hakim, Dimas Lukman; Cahyani, Ainun; Sariasih, Findi Ayu; Rakhmah, Syifa Nur; Sutoyo, Imam
Jurnal Sains dan Teknologi Informasi Vol 5 No 1 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i1.8937

Abstract

Flexible workers operating under remote, hybrid, and freelance schemes face burnout risks that are difficult to detect early due to irregular work patterns and blurred work-time boundaries. Conventional burnout monitoring relying on manual surveys is static and lacks sensitivity to the dynamics of workers' psychological changes. This study aims to develop a machine learning-based burnout prediction system for flexible workers capable of providing real-time risk predictions accompanied by personalized prevention recommendations. The method employed is Random Forest Classifier using a dataset from Kaggle titled "Mental Health & Burnout in the Workplace" encompassing 5.000 observations. System development follows the Agile approach and is implemented through a Streamlit-based web application. Preprocessing stages include binary label transformation, data leakage elimination, one-hot encoding, class imbalance handling using SMOTE, and stratified split with a 90:10 ratio. The Random Forest model is configured with 800 trees, max_depth of 20, and other optimal hyperparameters. Evaluation results demonstrate that the model achieves 87% accuracy with precision of 0.89, recall of 0.91, and F1-score of 0.90 for the burnout class. Feature importance analysis identifies CareerGrowthScore, StressLevel, and ProductivityScore as dominant factors. The system provides real-time predictions with latency <2 seconds and prevention recommendations tailored to individual risk profiles. This research contributes a practical solution for self-monitoring mental health among flexible workers and provides organizations with an instrument for monitoring remote workforce well-being. Black-box testing validates that all functionalities operate according to specifications.
SISTEM REKOMENDASI MAKANAN MULTI – KRITERIA UNTUK KONSUMEN DENGAN ANGGARAN TERBATAS MENGGUNAKAN ALGORITMA CONTENT BASED FILTERING Azhar, Raniah; Shidqin, Dhuha Shobiyan; Prakoso, Azzam Ade; Rakhmah, Syifa Nur; Sariasih, Findi Ayu; Sutoyo, Imam
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 10 No. 1 (2026): Volume 10, Nomor 1, Januari 2026
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v10i1.1186

Abstract

ABSTRACTThe primary challenge in current digital recommendation services is aligning product quality with the economic constraints of the user. This study focuses on the development and implementation of a Food Recommendation System operating on Multi-Criteria, namely Maximum Budget (Price) and Quality (Predicted Rating). The methodology applied is Content-Based Filtering, where the system analyzes nutritional content data and the estimated ingredient cost of each menu to determine the level of compatibility with the user’s preference profile. The processing flow begins with receiving a price limit set by the consumer, followed by a strict filtering phase to exclude menus outside the budget, and subsequently ranking the qualified menus based on the quality score generated by a Machine Learning model. This implementation successfully delivers ordered and cost-efficient menu recommendations, demonstrating its high potential as an effective assistant in supporting food purchasing decisions for consumers facing financial limitations.Keywords: Recommendation System, Multi-Criteria, Budget Constraint, Content-Based Filtering, Predicted Rating.
Sistem Rekomendasi Destinasi Wisata Menggunakan Content-Based Filtering dan Analisis Fitur Geospasial Widika, Arya; Susilo, Putri Salsabila; Ramadhan, Andhika Ibnu; Rakhmah, Syifa Nur; Sariasih, Findi Ayu; Sutoyo, Imam
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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

Abstract

This study develops a tourism destination recommendation system based on Content-Based Filtering integrated with geospatial feature analysis to enhance the relevance and contextual accuracy of recommendations for users. The system addresses the limitations of existing tourism recommendation platforms that primarily focus on popularity and ratings without considering users’ location proximity and personal preferences. The dataset used in this research originates from Tourism in Indonesia (Kaggle), focusing on the Jakarta and Bandung regions. Text features are extracted using the Term Frequency–Inverse Document Frequency (TF-IDF) method, while the similarity between destinations is measured using Cosine Similarity. Additionally, geographic distances are analyzed through the Haversine formula to strengthen the spatial context of the recommendations. The system was developed using the Agile (Scrum) methodology to ensure an iterative and adaptive development process aligned with user needs. Evaluation results indicate strong system performance, achieving a Precision of 0.63, Recall of 0.90, and an F1-Score of 0.73. These findings demonstrate that integrating content-based and spatial analysis approaches effectively improves the accuracy and personalization of tourism recommendations based on users’ preferences and location context.
Sistem Klasifikasi Citra AI Dan Human Menggunakan CNN Multi-Modal Berbasis Web Ardiyansyah, Oscar; Muhammad ‘Aziz Hidayatullah; Derrylen Fernanda; Syifa Nur Rakhmah; Findi Ayu Sariasih; Imam Sutoyo
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 5 No. 1 (2026): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v5i1.10543

Abstract

Penelitian ini mengembangkan sistem klasifikasi citra berbasis web menggunakan arsitektur Convolutional Neural Network (CNN) multi-modal untuk membedakan citra buatan manusia dan hasil generasi AI. Sistem yang diajukan menggabungkan tiga jenis input, yaitu citra asli, Error Level Analysis (ELA), dan Residual Noise Map (RDM) guna memperkaya representasi fitur pada proses klasifikasi. Model dibangun dengan backbone VGG16 pre-trained dan diuji pada 2.102 data citra yang terbagi seimbang antara dua kelas. Hasil eksperimen menunjukkan akurasi validasi sebesar 91% dan nilai macro F1-score sebesar 0,91, mengungguli pendekatan unimodal pada tugas serupa. Sistem diimplementasikan menggunakan framework Flask yang memungkinkan uji keaslian citra secara real-time, sehingga sangat relevan diterapkan di bidang forensik digital, verifikasi hak cipta, dan mitigasi disinformasi visual.
Perancangan Sistem Rekomendasi Adaptif Latihan dan Nutrisi Berbasis Reinforcement Learning Rifai Alinza Putra; Angga Putra Laziman Sadiarta; Satria Baihaqi Yaasiin; Syifa Nur Rakhmah; Findi Ayu Sariasih
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i1.32968

Abstract

This research aims to design and develop a personalized Adaptive Exercise and Nutrition Recommendation System, using a Reinforcement Learning (RL) approach, to overcome the limitations of conventional fitness programs that are generic and static. Unhealthy lifestyle trends have increased non-communicable diseases, but available wellness solutions fail to adapt in real-time to users' dynamic conditions—such as fatigue levels, weight changes, or nutritional responses—making them a major factor in consistent failure. This research adopts the Design Science Research Methodology (DSRM) methodology. The main problem is solved through designing an intelligent system architecture that is capable of managing and processing dynamic user data. The Deep Q-Network (DQN) algorithm is implemented effectively to produce optimal and personalized training and nutrition program recommendations on an ongoing basis. The system is trained and evaluated using synthetic data to enable simulation of complex feedback scenarios and address sensitive data privacy issues. The research output is a functional prototype (Proof-of-Concept) which will be analyzed and evaluated for its performance comparatively with conventional fitness programs to measure the level of program optimization and user consistency.
Sistem Informasi Pelayanan Jasa Laundry Sepatu Pada Queen Shoes Cleaning Syifa Nur Rakhmah; Irfan Rizki
Jurnal Kajian Ilmiah Vol. 22 No. 1 (2022): January 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/81k7m525

Abstract

Shoes are one of the complementary tools to support one's appearance, over time shoes become a very important aspect to pay attention to, the development of the times makes the shoe industry compete in innovation in terms of design or color. With the technology that has developed at this time, it can be used in all aspects of the industry, one of which is in the business or business sector at the Queen Shoes Cleaning store. The process used at this time is still carried out by recording services, making reports, and also storing transaction evidence manually so that the documents are messy. In the future, there is a very big risk of losing the documents in the store. For this reason, the author makes the idea of building a website-based information system in which you can order services, print reports, make receipts, and see shoe washing prices. There are 3 users in this system, namely regular visitors, registered visitors, and admins. For ordinary employees can only see the price list, about the store, the type of service. Then members can make transactions, print transaction receipts, and admins can process incoming transactions, print incoming reports, view user data, and view admin data. The method used in conducting this research is descriptive method, combining data collection methods and system development methods. With this website-based shoe washing service information system, it can help and simplify the shoe washing service process.
Co-Authors Adam Maulana Putra Ageng Basari Aliya Rafida Amelianda Mega Putri Andre Kurniawan Angga Putra Laziman Sadiarta Anis Rahmawati Anna Mukhayaroh Anna Mukhayaroh, Anna Ardiyansyah, Oscar Arif Ismail Husin Azhar, Raniah Cahyani, Ainun Dea Kartika Aulia Arawi Derrylen Fernanda Dhefine Armelsa Dian Yunita sari Endang Zulfikar Fajri Khairullah Fauziah Mk, Noha Noor Feru Adiningrat Findi Ayu Sariasih Findi Ayu Sariasih Galih Khrisna Rangga Ganda Wijaya Hakim, Dimas Lukman Hani Harafani Henny Leidiyana Icuk Maris Kuncoro Imam Sutoyo Imam Suyoto Irfan Rizki Izzudin Ijtara’a Kardinal Novel Khoirun Nisa Lusa Indah Prahartiwi Maulidana Athur Fadilla Mochammad Imron Awalludin Muhammad Fauzan Azmi Muhammad Zaky Muhammad ‘Aziz Hidayatullah Murni Cahyati Musyaffa, Nu’man Nisa , Khoirun Norma Yunita Norma Yunita Norma Yunita Nu’man Musyaffa Prakoso, Azzam Ade Putri, Amelianda Mega Raden Aldhi Rajendra Yusuf Ramadhan, Andhika Ibnu Ratna Fitria Reza Reza Rifai Alinza Putra Rizki Aulianita Rizki Aulianita Rizki Aulianita, Rizki Satria Baihaqi Yaasiin Shidqin, Dhuha Shobiyan Susilo, Putri Salsabila Sutikno, Wahyu Sutoyo, Imam Upi Dwi Desi Yanti Widiarina Widika, Arya Widyastuty, Wiwiek Yoraeni, Ani Yuni Eka Achyani, Yuni Eka Yunita, Norma