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All Journal Jurnal Ilmiah Informatika Komputer JUITA : Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Eksplora Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURIKOM (Jurnal Riset Komputer) JURTEKSI Indonesian Journal of Applied Informatics Informasi Interaktif METIK JURNAL Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Innovation and Future Technology (IFTECH) Zonasi: Jurnal Sistem Informasi Respati JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Information System Journal (INFOS) Journal of Computer Science and Informatics Engineering Batara Wisnu : Indonesian Journal of Community Services Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Teknologi Informasi SWAGATI: Journal of Community Service Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Inovasi Indonesia
Fajri, Ika Nur
Program Studi Sistem Informasi, Universitas AMIKOM Yogyakarta
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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FROZEN FOOD SALES SYSTEM AT DAKON STORE USING FRAMEWORK FOR THE APPLICATION SYSTEM THINKING METHOD Mangli, Luh Ajeng Roro; Fajri, Ika Nur
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 3 (2024): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i3.21796

Abstract

Increasingly advanced information and communication technology has triggered various influences, including a significant need for the Internet. This technological development disrupts the business sector, especially trade, which requires a shift from conventional stores to online stores to accelerate and increase sales through e-commerce, which expands market share without limits. The Dakon frozen food shop, established in 2018, needs help with conventional sales, which force buyers to come to the shop, as well as time-consuming manual stock and sales data collection. To overcome this problem, the author proposes developing a website-based information system using the FAST (Framework for the Application of System Thinking) method, making it easier to design systems, analyze needs, and build appropriate systems. Implementing this system is expected to expand the reach of buyers, increase sales, and improve governance. With the FAST method, various operational challenges can be overcome more effectively. Payments have become more efficient through automation of the sales process, although improvements to the website's appearance are still needed to improve the user experience
Sistem Rekomendasi Wisata Magelang Menggunakan Metode Collaborative Filtering Siska, Siska; Fajri, Ika Nur; Rayhan, Radhita; Pratama, Akbar; Rohman, Arif Nur
Eksplora Informatika Vol 14 No 1 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v14i1.1084

Abstract

Pariwisata telah menjadi kegiatan yang populer dan digemari oleh banyak orang, termasuk di Indonesia yang memiliki berbagai destinasi terkenal. Magelang, salah satu daerah di Indonesia, memiliki potensi pariwisata yang besar dengan ragam objek wisata, mulai dari sejarah hingga alam. Penelitian ini membahas tentang pengembangan sistem rekomendasi tempat wisata di Magelang menggunakan metode collaborative filtering. Data yang digunakan berasal dari kaggle.com, mencakup informasi rating dan profil pengguna. Analisis umur menunjukkan partisipasi tinggi dari kelompok usia 21-30 tahun, yang merupakan segmen aktif dalam wisata. Mayoritas pengguna berasal dari Pulau Jawa, menambah dimensi kebudayaan dalam penelitian. Metode penelitian ini melibatkan penggunaan collaborative filtering untuk menghasilkan rekomendasi tempat wisata berdasarkan preferensi pengguna. Pengujian dilakukan pada User_Id 1, yang menghasilkan rekomendasi beragam dengan prediksi skor sekitar 3,81 untuk tiga tempat utama. Hasil ini menunjukkan bahwa sistem rekomendasi dapat membantu pengguna menemukan destinasi yang sesuai dengan preferensi mereka. Kesimpulan penelitian ini menggarisbawahi potensi sistem rekomendasi untuk meningkatkan pengalaman wisata dan mendukung pengembangan sektor pariwisata di Magelang.
Pemanfaatan Sistem Informasi Berbasis Website untuk Mendukung Pengelolaan Administrasi Data Karyawan Yayasan Taruna Alquran Sleman Yogyakarta Nurmasani, Atik; Dyah Anggita, Sharazita; Dwi Hartanto, Anggit; Pujastuti, Eli; Asti Astuti, Ika; Pristyanto, Yoga; Nur Fajri, Ika
Jurnal Pengabdian Masyarakat Inovasi Indonesia Vol 3 No 4 (2025): JPMII - Agustus 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jpmii.829

Abstract

Penerapan sistem informasi pada suatu institusi penting untuk mendukung proses bisnis. Yayasan Taruna Al-Quran ingin memaksimalkan teknologi dalam mengelola administrasi data unit kerja. Masalah yang dialami pada pengelolaan administrasi data yaitu keterbatasan dalam pengelolaan arsip dan tidak optimalnya proses pencarian data. Sistem informasi berbasis website dibuat untuk mengatasi masalah pengelolaan administrasi dan kemudahan akses bagi seluruh unit kerja. Metode yang diterapkan pada kegiatan terdiri dari perencanaan, pelaksanaan, dan evaluasi. Hasil kegiatan perencanaan berupa perencanaan yang sesuai kebutuhan sebagai dasar pelaksanaan.  Hasil kegiatan pelaksanaan berupa sistem informasi yang siap diserahkan kepada mitra. Hasil evaluasi berupa masukan pengguna dari mitra terhadap sistem informasi, dimana pengguna mudah menggunakan sistem informasi dengan skor 5.9 atau 86%. Sistem informasi yang diterapkan dapat membantu mitra mengelola administrasi data karyawan dengan mudah. Seluruh pengguna dapat mengakses data secara online sesuai kebutuhan.
IMPLEMENTATION OF RANDOM FOREST CLASSIFIER FOR STUDENT GRADUATION CLASSIFICATION Zaidan Putra, Bazil; Nur Fajri, Ika; Nugroho, Agung
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 1 (2025): Desember 2025
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.v12i1.4160

Abstract

Abstract: Higher education plays an essential role in improving human resource quality, one of which is through the institution’s ability to monitor and predict student graduation outcomes. This study does not focus on a specific university but utilizes the publicly available Students Performance in Exams dataset from Kaggle, consisting of 1,000 student records containing mathematics, reading, and writing scores, along with demographic attributes such as gender, parental education level, lunch type, and test preparation participation. The data were processed through a feature engineering stage by adding an average score variable as an early indicator of graduation status. A predictive model was developed using the Random Forest Classifier, achieving an accuracy of 94.5%. The final model was integrated into a Streamlit-based web application to provide an accessible tool for academic stakeholders. The results indicate that the proposed model can serve as an effective decision-support tool for early evaluation of students’ likelihood of graduation. Keywords: prediction; random forest classifier, streamlit, student graduation. Abstrak: Pendidikan tinggi memegang peran penting dalam peningkatan kualitas sumber daya manusia, salah satunya melalui kemampuan institusi dalam memantau dan memprediksi tingkat kelulusan mahasiswa. Penelitian ini tidak berfokus pada perguruan tinggi tertentu, melainkan menggunakan dataset publik Students Performance in Exams dari Kaggle yang berisi 1.000 data mahasiswa, terdiri atas nilai matematika, membaca, menulis, serta atribut demografis seperti gender, tingkat pendidikan orang tua, jenis makan siang, dan partisipasi kursus persiapan. Data diolah melalui tahap feature engineering dengan menambahkan variabel average score sebagai indikator awal kelulusan. Model prediksi dibangun menggunakan algoritma Random Forest Classifier, yang menghasilkan tingkat akurasi sebesar 94,5%. Model ini kemudian diimplementasikan ke dalam aplikasi web berbasis Streamlit untuk memberikan layanan prediksi yang mudah diakses oleh pihak akademik. Hasil penelitian menunjukkan bahwa model mampu digunakan sebagai alat pendukung keputusan untuk melakukan evaluasi dini terhadap potensi kelulusan mahasiswa. Kata kunci: kelulusan mahasiswa; prediksi; random forest classifier; streamlit.
Perancangan dan Implementasi Sistem Informasi Berbasis Website pada Toko Sembako Sayur Amanah Radhita Rayhan; Ika Nur Fajri
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.656

Abstract

In the midst of the rapid development of digital technology, various business sectors, including the trade sector, have begun to adopt digital-based information systems to improve operational efficiency and effectiveness. Toko Sembako Sayur Amanah currently still relies on a manual system for recording transactions, managing stock items, and financial reporting using a cash book. This manual system causes the sales process to be inefficient, time-consuming, and prone to errors such as misrecording or data loss. In addition, the manual system is unable to meet the needs of customers who have limited time and makes it difficult to manage transactions and stock items effectively. To overcome these problems, this research aims to design and implement a website-based information system using the Waterfall method, which includes requirements analysis, system design, implementation, and system testing. Testing is carried out with a Black-box Testing approach to ensure the suitability of system functionality with predetermined needs. The test results show that the developed system has succeeded in increasing the efficiency of managing categories and goods by the admin and making it easier for customers to place orders and make payments online. This research is expected to be a reference for the development of similar systems in other grocery stores with the potential to increase competitiveness in an increasingly competitive market. As a follow-up, this research opens up opportunities for further development, such as integration with mobile applications or more sophisticated inventory management systems.
Penerapan Metode Design Thinking dalam Perancangan UI/UX Website Pintu Rumah Roy Wenang Robbani; Ika Nur Fajri
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 2 (2025): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i2.714

Abstract

Property rental is the activity of utilizing property by tenants for a certain period of time at an agreed-upon cost. The types of property rented include residential, commercial, and industrial, which are the choices of many people because of their flexibility. As technology evolves, property searches and transactions are now more accessible through digital platforms such as websites and mobile applications. This platform allows tenants or buyers to get faster and more precise in-formation according to their needs. However, many property rental platforms still face challenges in providing an optimal user experience, such as a complicated interface and a lack of direct in-teraction between tenants and property owners. This study aims to improve the user experience on property rental platforms by adding an appointment feature that allows direct communication between tenants and property owners. The method used in this study is Design Thinking, which consists of five stages: Empathy, Define, Ideate, Prototype, and Test. The developed prototype was tested using Maze, a real-time user testing platform. The test results show that this platform has a Maze Usability Score (MAUS) of 69.63%, which is classified as “Good”. Although in general the platform can be used well, there are areas that need improvement, such as the high level of click errors in the process of adding properties by the owner. The conclusion of this study is that alt-hough the platform functions effectively, there is still room for improvement in terms of clarity and ease of navigation.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEBSITE PADA PONDOK PESANTREN AL HARIS MAKASSAR MENGGUNAKAN METODE WATERFALL Muhammad Farhan; Ika Nur Fajri; Agung Nugroho
Information System Journal Vol. 9 No. 01 (2026): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2026v9i01.2680

Abstract

Pondok Pesantren Al Haris Makassar merupakan lembaga pendidikan Islam yang pengelolaan data akademik santrinya masih dilakukan secara manual, sehingga menyebabkan keterlambatan penyampaian informasi kepada wali santri terkait nilai, laporan perkembangan, dan administrasi. Penelitian ini bertujuan merancang dan membangun sistem informasi akademik berbasis website menggunakan metode Waterfall dengan teknologi PHP dan database MySQL. Sistem dikembangkan melalui tahapan analisis kebutuhan, perancangan sistem menggunakan UML, implementasi, pengujian, dan pemeliharaan. Pengujian dilakukan menggunakan Black Box Testing yang menunjukkan seluruh fungsi sistem berjalan sesuai kebutuhan, serta User Acceptance Testing (UAT) terhadap 10 responden dengan nilai rata-rata 91,2% dalam kategori Sangat Setuju. Pengujian performa menunjukkan waktu respons halaman login sebesar 94 ms dalam kondisi stabil. Sistem ini terbukti mampu meningkatkan efisiensi pengelolaan data akademik dan memudahkan wali santri dalam memantau perkembangan akademik santri secara real-time melalui website.
Sistem Rekomendasi Skincare Berdasarkan Jenis Kulit Menggunakan Content-Based Filtering dan Knowledge-Based Normalization Joy Raphaela; Arif Nur Rohman; Ika Nur Fajri
METIK Jurnal Vol. 10 No. 1 (2026): METIK Jurnal Issue Published
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/aa1yds57

Abstract

The rapid growth of the skincare industry has triggered information overload, complicating consumer decision-making particularly among Generation Z users on e-commerce platforms. Conventional Collaborative Filtering approaches are limited by popularity bias and the cold-start problem, and are unable to account for ingredient-level compatibility with individual skin conditions. Addressing this gap, this study proposes a novel Content-Based Filtering recommendation system that integrates TF-IDF and Cosine Similarity with a Knowledge-Based Normalization layer. This original framework maps informal consumer terminology into standardized dermatological categories, effectively reducing semantic inconsistency in unstructured product descriptions. Data were obtained from the Kaggle public repository (third-party extracted dataset) and underwent a validation process, yielding a final dataset of 91 skincare products. The system was evaluated using Precision@K across five skin-condition scenarios. Results yield an average Precision@5 of 0.80 (80%), with a peak cosine similarity score of 0.3606. The low absolute cosine value is attributable to TF-IDF vector sparsity in short-text descriptions, a characteristic acknowledged in prior literature. Implementation as a web application confirms the system's practical utility in guiding users toward biologically appropriate skincare choices, independent of market-trend bias.
SISTEM REKOMENDASI WISATA BOGOR MENGGUNAKAN N-GRAM DAN INDOBERT Panji Ihsanudin Fajri; Arif Nur Rohman; Ika Nur Fajri
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7835

Abstract

Bogor Regency has significant tourism potential; however, available tourism information is mostly static and does not support preference-based recommendations. This study aims to develop a tourism recommendation system for Bogor Regency using a content-based filtering approach by integrating N-Gram, TF-IDF, and IndoBERT methods. The tourism destination dataset was collected through web scraping from online tourism sources and processed using text preprocessing techniques. Feature extraction was performed using N-Gram and TF-IDF to capture lexical similarity, while IndoBERT was trained using an Unsupervised SimCSE approach to generate contextual semantic representations. Destination similarity was calculated using cosine similarity, and system performance was evaluated using Precision, Recall, and F1-Score under Top-3, Top-5, and Top-10 scenarios. The experimental results show that the N-Gram and TF-IDF approach achieved the highest Precision of 63.95% in the Top-3 scenario and an F1-Score of 16.71% in the Top-10 scenario, indicating strong category consistency. Meanwhile, IndoBERT provided more context-aware recommendations with lower Precision, demonstrating its ability to capture semantic similarity beyond keyword matching. These findings indicate that lexical and semantic approaches complement each other and can be effectively combined to support more flexible and adaptive tourism recommendation systems.
Prediksi Harga Rumah Menggunakan XGBoost Berbasis Optuna Hyperparameter Optimization: House Price Prediction using XGBoost Based on Optuna Hyperparameter Optimization Natasaskara, Nandana Ayudya; Pristyanto, Yoga; Fajri, Ika Nur
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2704

Abstract

Fluktuasi dan kompleksitas atribut pasar properti membuat prediksi harga rumah sulit dan kurang akurat jika hanya mengandalkan parameter algoritma bawaan. Kinerja optimal algoritma Machine learning seperti Extreme Gradient Boosting (XGBoost) sangat bergantung pada pengaturan hyperparameter yang tepat, namun banyak penelitian sebelumnya mengabaikan optimasi atau menggunakan metode konvensional yang tidak efisien. Untuk mengatasi masalah tersebut, penelitian ini mengusulkan model XGBoost yang dioptimasi secara dinamis menggunakan kerangka kerja Optuna Hyperparameter Optimization. Optuna, yang bekerja berdasarkan optimasi Bayesian, secara cerdas dan efisien mengeksplorasi ruang parameter guna menemukan konvergensi yang lebih cepat. Hasil eksperimen membuktikan bahwa integrasi Optuna berhasil meningkatkan keakurasian prediksi secara signifikan. Model XGBoost berbasis Optuna menghasilkan performa yang lebih unggul dengan peningkatan skor R² dari 0.8204 menjadi 0.8263, serta berhasil menekan tingkat kesalahan di mana RMSE turun menjadi Rp 301.132.090,80, MAE menjadi Rp 196.869.100,79, dan MAPE menyusut menjadi 16,53%. Pendekatan ini terbukti lebih tangguh, stabil, dan presisi dibandingkan model tanpa optimasi (baseline) dalam memetakan pola harga yang non-linear. Meskipun akurasi meningkat, hal ini menuntut waktu komputasi pelatihan yang jauh lebih tinggi, yakni melonjak drastis menjadi 3.550,34 detik. Dataset akhir yang digunakan dalam penelitian ini berjumlah 16.674 catatan, yang diperoleh setelah proses preprocessing dan eliminasi outlier secara ekstensif dari 40.200 catatan awal.
Co-Authors Aditya Salman Agung Nugroho Agung Nugroho Aldyan Gilang Primanda Andi Muh. Rahul Rajes Topares Anggit Dwi Hartanto Anggit Dwi Hartanto, Anggit Dwi Ardani, Lutfasari arif nur rohman Arif Nur Rohman Arif Nur Rohman Arif Nur Rohman Asti Astuti, Ika ATIK NURMASANI Ayurira, Caren Legisna Aqila Az Zahra Hijriah Barus, Herianta Bety Wulan Sari Bety Wulan Sari, Bety Wulan Dari, Aprillia Wulan Nanda Dendi Agung Muhaziz Dewi Ayu Murtiningsih Dismas Banar Purnandi Donni Prabowo Dwi Hartanto, Anggit Dyah Anggita, Sharazita Elda Putri Darmayanti Eli Pujastuti, Eli Etik Anjar Fitriarti, Etik Anjar Femi Dwi Astuti Gilberth Patrick Daniel hallan, rosalia roja Hanifan, Hafid Hayaty, Mardhiya Hendra Kurniawan Hendra Kurniawan Ike Verawati Irwanto, Bagas Joy Raphaela Kelvin Jaya Pratama Kono, Maria Fatima Kurniawan, Febri Dwi Mahfud, Arisman Mangli, Luh Ajeng Roro Muhammad Fachmi Syahrial Muhammad Farhan Muhammad Irvan Murtiningsih, Dewi Ayu Mu’alif Lihawa Nasrul Amin Muis Natasaskara, Nandana Ayudya Norhikmah Norhikmah Nur Indah Kusumawardhani Nurhalisa, Vitra Pangestu, Rafel Alansyah Panji Ihsanudin Fajri Pinasti, Rafa Hadiya Pratama, Akbar Pratama, Subhan Rizky Putri Anggara, Rindina Adisya Radhita Rayhan Rahman Saputra, Rahman Rana Aphrodita, Ishiqa Rayhan, Radhita Rohim, Dwi Nur Roy Wenang Robbani Sergius Septiade Masmur Setioadi, Rizkiansyah Eka Sifa’ul Husna, Siti Okta Siska Siska Syamsul A Syahdan, Syamsul A W, Bambang Soedijono Widodo, Tegar Robi Wiwi Widayani Yoga Pristyanto Yoga Pristyanto Yoga Prisyanto Zahrotus Sa'idah Zaidan Putra, Bazil