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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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IMPLEMENTASI METODE SCRUM DALAM PENGEMBANGAN WEBSITE E-COMMERCE PADA TWINS PETSHOP Ayurira, Caren Legisna Aqila; Nur Fajri, Ika
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 2 (2024): Vol 6 No 2 (August 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i2.3397

Abstract

Rapid technological advancements have triggered a significant global transformation in the digital economy. The utilization of digital technology has reshaped paradigms and behaviors across various aspects of life, including the business realm. Twins Petshop, as a mid-tier business player, faces several operational challenges, such as slow sales processes and limited promotional capabilities. To address these hurdles, the effective solution of developing an e-commerce website was pursued. This research implements the Scrum methodology in website development for Twins Petshop. Scrum methodology comprises five stages: product backlog, Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. This approach was chosen for its superior flexibility and responsiveness to change, while also fostering intensive and productive team collaboration. Blackbox testing successfully identified and rectified functional errors, although further improvements are needed to bolster security aspects and enhance website functionality.
Aplikasi E-marketplace Agribisnis Berbasis Website pada Desa Cucukan Irwanto, Bagas; Nugroho, Agung; Fajri, Ika Nur
Jurnal Teknologi Informasi Vol 3, No 1 (2024): Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/juti.v3i1.1388

Abstract

Perkembangan ekonomi digital yang dipicu oleh kemajuan teknologi informasi dan komunikasi telah membawa perubahan signifikan, termasuk dalam sektor agribisnis. Sistem ini dibangun menggunakan metode penelitian waterfall, bahasa pemrograman PHP, Framework Laravel, basis data MySQL, dan di dilengkapi fitur payment gateway sebagai metode pembayaran di dalam marketplace yang dibangun, diharapkan dengan adanya penelitian ini dapat bermanfaat dan menumbuhkan inovasi-inovasi baru di bidang agribisnis. Sistem ini dirancang untuk memfasilitasi penjualan hasil panen petani dan peternak secara online, sehingga dapat meningkatkan efisiensi transaksi dan mengurangi kesalahan dalam pengelolaan penjualan. Sistem ini tidak hanya mempermudah proses penjualan dan pembelian, tetapi juga berpotensi mengurangi selisih harga antara pasar dan petani dengan menyediakan platform transaksi yang kompetitif dan transparan. Selain itu, dengan fitur-fitur yang user-friendly, diharapkan aplikasi ini dapat diakses dan digunakan di berbagai perangkat. E-marketplace untuk meningkatkan kinerja penjualan dan juga mendukung kesejahteraan petani melalui proses penjualan dan pembelian yang lebih efisien dan transparan.
Perancangan Aplikasi Donor Plasma Darah Konvalesen Berbasis Android Irvan, Muhammad; Fajri, Ika Nur
Jurnal Teknologi Informasi Vol 2, No 2 (2024): Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/juti.v2i2.1223

Abstract

Ringkasan Pandemi Virus Corona 2019 (Covid-19) menjadi pandemik global sejak awal tahun 2020. Banyak manusia yang terjangkit virus ini dan juga tidak sedikit jiwa yang tidak terselamatkan. Salah satu cara untuk memberikan pengobatan bagi penderita Covid-19 adalah dengan menggunakan terapi tambahan dengan mengajak orang yang sudah sembuh dari Covid-19 untuk menjadi pendonor plasma, atau disebut dengan Donor Plasma Konvalesen. Pemerintah Indonesia memberikan fasilitas untuk donasi ini, namun tidak jarang mengalami kekurangan, dan tidak jarang mencari pendonor secara individu dengan memanfaatkan siaran melalui status di media sosial yang diakhiri dengan rangkaian tanya jawab, alhasil penderita Covid-19 terhambat mendapatkan terapi melalui metode ini. Untuk mengatasi hal tersebut Aplikasi Donor Plasma Darah Konvalesen dibuat untuk memudahkan para penderita Covid-19 yang membutuhkan terapi Donor Plasma Konvalesen untuk mendapatkan pendonor dari pendonor yang telah memenuhi syarat kemudian bertemu di titik lokasi rumah sakit atau Palang Merah Indonesia. (PMI). dipilih oleh pasien. Dengan demikian aplikasi Donor Plasma Darah Konvalesen dapat membantu memudahkan para penderita Covid-19 yang membutuhkan pendonor untuk terapi. Kata kunci:Android, Covid-19, Donor, Konvalesen, Mobile Abstract The 2019 Corona Virus (Covid-19) pandemic has become a global pandemic since the beginning of 2020. Many people have been infected with this virus and also many lives have not been saved. One of the methods to provide treatment for Covid19 sufferers is using additional therapy by inviting people who have recovered from Covid-19 to become plasma donors, or called Convalescent Plasma Donors. Government in Indonesia provide facilities for this donation, but it is not uncommon for this convalescent plasma stock to be in short supply, and it is not uncommon for people to look for donors by using broadcasts via status on Social Media which ends in a series of questions and answers, as a result, Covid-19 sufferers are hampered from getting therapy through this method. To overcome this, the Convalescent Blood Plasma Donor Application was created to make it easier for Covid-19 sufferers who need Convalescent Plasma Donor therapy to get donors from who have met the requirements and then meet at the location point of the Hospital or PMI chosen by the patient. Thus the Convalescent Blood Plasma Donor application can make it easier to help Covid-19 sufferers who need donors for therapy KeyWords: Android, Covid-19, Donor, Konvalesen, Mobile
Prediksi Harga Rumah menggunakan Machine Learning Algoritma Regresi Linier hallan, rosalia roja; Fajri, Ika Nur
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1732

Abstract

The property sector plays a vital role in the global economy, especially regarding property price prediction, which is a complex challenge influenced by factors such as building size, number of rooms, location, and property condition. This study aims to build a property price prediction model using the Linear Regression algorithm. The data used in this research was obtained from Kaggle, consisting of 1460 data points on house prices in Ames, USA. The preprocessing phase includes handling missing data, outlier management, and feature standardization using StandardScaler to ensure data consistency. The linear regression model was trained and evaluated using R-squared (R²) and Root Mean Squared Error (RMSE) metrics. The evaluation results show an R² of 0.81, indicating the model explains 81% of the variation in house prices. Additionally, the RMSE value of 35,830.40 shows the model's relatively low and consistent error when tested with different data. Features such as overall house quality (OverallQual) and living area size (GrLivArea) significantly correlate with house prices. These findings demonstrate that linear regression is an effective tool for predicting property prices.
Improving Service Quality at Bank Sampah APEL, Sleman Yogyakarta, Through a Digitalization Program Saidah, Zahrotus; Fitriarti, Etik Anjar; Fajri, Ika Nur; Rohim, Dwi Nur; Ardani, Lutfasari; Putri Anggara, Rindina Adisya; Pangestu, Rafel Alansyah; Setioadi, Rizkiansyah Eka
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 5 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v5i2.11598

Abstract

Background: Yogyakarta faces a waste crisis due to the Piyungan landfill closure, with Sleman generating 320 tons of waste daily. Waste Banks like APEL in Sleman manage waste through composting, recycling, and crafting, reducing waste and offering economic benefits. Contribution: The application of excel in the preparation of financial statements will contribute greatly to improve the quality of financial statements presented by BUMDes and have an impact on the effectiveness of decision making which ultimately supports the progress of these BUMDes. Method: APEL employs the 3R system, raising environmental awareness but faces challenges in manual management and limited digital promotion. BUMDes Damar Limo manages diverse transactions and must produce key financial reports. Results: BUMDes Damar Limo of central Bengkulu Region. has CekDam tourism, tourist trains and batik production as main business. Transactions that occur in these BUMdes include receipt of capital deposits, purchases of vehicles, equipment, raw materials, merchandise inventory, and supplies, payment of salaries and other costs, and revenue generation. The reports that must be presented include the income statement, statement of financial position, and statement of BUMdes health. Conclusion: The implementation of the Excel Accounting has an impact on presenting higher quality financial statements and managing BUMDes efficiently and professionally
SISTEM REKOMENDASI PARIWISATA GUNUNGKIDUL BERBASIS WEB MENGGUNAKAN METODE CONTENT-BASED FILTERING Sifa’ul Husna, Siti Okta; Nur Fajri , Ika; Pristyanto, Yoga
Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Vol 6 No 3 (2024): JURSISTEKNI (Jurnal Sistem Informasi dan Teknologi Informasi)
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/jursistekni.v6i3.363

Abstract

Keindahan alam dan kekayaan budaya di Gunungkidul, Yogyakarta, menjadi daya tarik utama bagi wisatawan. Namun, dengan banyaknya pilihan tempat wisata, menentukan destinasi yang tepat bisa menjadi hal yang membingungkan. Untuk mengatasi hal ini, penelitian ini mengembangkan sistem rekomendasi pariwisata berbasis web dengan metode content-based filtering. Sistem ini diharapkan dapat membantu wisatawan dalam menemukan tempat wisata yang sesuai dengan minat dan preferensi mereka, sehingga meningkatkan pengalaman wisata di Gunungkidul. Penelitian ini berfokus pada pengembangan sistem rekomendasi yang memanfaatkan informasi deskripsi tempat wisata. Metode content-based filtering digunakan untuk menganalisis kesamaan antara deskripsi tempat wisata. Hasil analisis ini kemudian digunakan untuk merekomendasikan tempat wisata yang paling sesuai dengan minat dan preferensi wisatawan. Penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan kualitas layanan wisata di Gunungkidul. Sistem rekomendasi pariwisata ini dapat menjadi alat yang bermanfaat bagi wisatawan dalam memilih destinasi wisata yang tepat, sehingga meningkatkan kepuasan dan loyalitas wisatawan terhadap Gunungkidul sebagai destinasi wisata
ANALISIS DAN IMPLEMENTASI PROGRESSIVE WEB APP (PWA) SERTA FITUR NOTIFIKASI PADA SISTEM INFORMASI PENDAFTARAN VOLUNTEER VOLHUB Hanifan, Hafid; Fajri, Ika Nur
Information System Journal Vol. 7 No. 02 (2024): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2024v7i02.1986

Abstract

Perkembangan internet di Indonesia mendorong transformasi digital dalam berbagai aspek, termasuk kegiatan volunteer. Namun, tingkat partisipasi pemuda mengalami penurunan akibat akses dan mekanisme yang kurang memadai. Website VolHub dikembangkan untuk memfasilitasi pendaftaran volunteer secara efisien dan transparan, tetapi masih menghadapi tantangan dalam keandalan sistem. Progressive Web App (PWA) menjadi solusi untuk meningkatkan reliabilitas VolHub dengan fitur seperti akses offline, instalasi langsung dari browser, dan push notifications. Penelitian ini mengimplementasikan PWA pada VolHub menggunakan metode pengembangan berbasis Agile. Hasil menunjukkan peningkatan pengalaman pengguna, dengan akses lebih cepat dan stabil tanpa koneksi internet. Kesimpulannya, penerapan PWA dapat meningkatkan keandalan website VolHub serta mendorong partisipasi pemuda dalam kegiatan volunteer. The rapid growth of the internet in Indonesia has driven digital transformation in various sectors, including volunteer activities. However, youth participation has declined due to inadequate access and mechanisms. VolHub is a website designed to facilitate volunteer registration efficiently and transparently but still faces reliability challenges. Progressive Web App (PWA) is a solution to enhance VolHub’s reliability by enabling offline access, direct installation from browsers, and push notifications. This research implements PWA on VolHub using an Agile-based development approach. The results indicate improved user experience, with faster and more stable access even without an internet connection. In conclusion, PWA implementation enhances VolHub’s reliability and encourages youth participation in volunteer activities.
Sistem Rekomendasi Wisata Berbasis Konten dengan Algoritma Naïve Bayes Multinomial Mahfud, Arisman; Fajri, Ika Nur
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.875

Abstract

The development of tourism in Indonesia offers vast business opportunities for tourism stakeholders, especially in Yogyakarta, which is rich in natural tourist destinations. However, visitors often face difficulties in selecting suitable destinations due to limited information. This study aims to develop a tourism recommendation system in Yogyakarta by utilizing the Naïve Bayes Multinomial algorithm to improve the accuracy of recommendations and the overall tourism experience. The system leverages word frequency information from textual data to generate better recommendations. Data from 40 tourist destinations, including descriptions, locations, ratings, categories, and facilities, is used in this study. The model's results show an accuracy of 81.2%, precision of 62.5%, recall of 62.5%, and an F1 score of 62.5%. Testing with the keyword "photo spot" yields an accuracy of 50%, precision of 25%, recall of 50%, and an F1 score of 33.33%, while the keyword "natural scenery" achieves 100% accuracy, 100% precision, 100% recall, and an F1 score of 100%. These results demonstrate that the system can provide accurate and useful tourism recommendations for users.
Penerapan Algoritma K-Nearest Neighbor (KNN) Untuk Klasifikasi Resiko Penyakit Jantung Dari, Aprillia Wulan Nanda; Fajri, Ika Nur
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6038

Abstract

Heart disease is one of the deadliest diseases in the world, where there is a disruption in the function of the heart and blood vessels that causes chest pain, irregular heartbeat, and difficulty breathing. According to data from the World Health Organization (WHO), there are 17.9 million deaths each year due to heart disease. The difficulty in classifying heart disease accurately and quickly is a significant problem. From this problem, researchers conducted data mining research using the KNN algorithm to classify the risk of heart disease by taking data from the official Kaggle website. In this study, there are 4 stages, namely data collection, model formation, mode evaluation, and prediction interface. By using the KNN algorithm, the analysis results obtained an accuracy of 83%, precision 0.88, recall 0.77 and f1-score 0.82. With the results of the model evaluation data, it shows that the classification of heart disease risk using the KNN algorithm has quite good performance. The results of the modeling are then presented in the form of a website by deploying the model.
Pembuatan Media Promosi Online Berupa Website pada Gutera Olah Pangan Kurniawan, Hendra; Fajri, Ika Nur
SWAGATI : Journal of Community Service Vol. 1 No. 2 (2023): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2023v1i2.1146

Abstract

Pasca pendemi Covid-19 yang terjadi di Indonesia telah banyak merubah gaya promosi para pelaku usaha. Banyak pelaku usaha UMKM (Usaha Mikro, Kecil, dan Menengah) yang terdorong untuk memanfaatkan teknologi sebagai media promosi online agar mampu bersaing. Gutera Olah Pangan sebagai mitra merupakan UMKM yang bergerak di bidang makanan yang telah mempunyai produk berupa sari kacang hijau, olahan kacang, buah beku, katering, dan berbagai minuman buah. Menurut data dari BPS (Badan Pusat Statistik) tahun 2020 bahwa kendala terbesar UMKM adalah pemasaran atau penjualan produk dengan prosentase 48,60%. Kendala ini juga dialami oleh mitra yang sulit melakukan penjualan produk yang disebabkan oleh banyaknya produk makanan dan kencenderungan masyarakat memilih produk murah. Upaya promosi menggunakan marketplace dan media sosial telah dilakukan, tetapi belum berdampak signifikan terhadap penjualan. Oleh karena itu, dibutuhkan upaya lain berupa pemanfaatan website agar dapat mendukung kegiatan promosi yang telah dilakukan oleh mitra dan membangun brand image di masyarakat.
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