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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Edukasi dan Penelitian Informatika (JEPIN) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal RESISTOR (Rekayasa Sistem Komputer) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Elektro dan Telkomunikasi Jurnal Mantik JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ilmu Komputer dan Informatika Hello World JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Manajemen, Pendidikan dan Ilmu Komputer (JMENDIKKOM)
Dewi, Rafiqa
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Aerospace Engineering Humanities Astronomy 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 Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Pemanfaatan Matrix Factorization Berbasis Android Berdasarkan Preferensi Pengguna untuk Optimasi Promosi Objek Wisata Saputra, Widodo; Dewi, Rafiqa
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.v6i1.5954

Abstract

This research aims to optimize the promotion of tourist attractions in Simalungun Regency and Pematangsiantar City by utilizing Artificial Intelligence (AI) technology based on Matrix Factorization. The lack of information about tourist spots in these areas has resulted in many attractions being relatively unknown to the public, making current promotional efforts less effective. Through the application of AI, it is hoped that the promotion of tourist attractions will become more efficient, providing users with a better experience in finding destinations that match their preferences. The data used in this study was collected through web scraping from Google Maps, including information about tourist spots such as name, location, rating, number of reviews, and category. This data was then processed using Matrix Factorization, which analyzes user preferences based on their visit history and ratings of tourist attractions. The ultimate goal is to generate personalized and relevant recommendations. The research was implemented in the form of an Android application, allowing users to easily access tourism recommendations via mobile devices. Testing results showed that the recommendation system successfully provided suggestions for tourist attractions that matched users' needs. The model was evaluated using Root Mean Squared Error (RMSE), yielding a result of 0.0835 on training data and 0.2362 on validation data, demonstrating good performance. Overall, this research proves that Collaborative Filtering technology based on Matrix Factorization is effective for tourism recommendation systems.
Ambulance integration model in smart city for health services Dewi, Rafiqa; Tulus, Tulus; Zarlis, Muhammad; Budhiarti Nababan, Erna
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.7202

Abstract

Smart city is a city built to create efficient, sustainable, fair and livable cities. Increasing the percentage of population survival in standard and emergency times or emergency medical services (EMS) is one of the main pillars of a smart city. This study develops previous research. The weakness of this model is that it needs to consider the dynamic travel time factor. The model only considers the fixed travel time between two locations, which may not represent the actual conditions on the highway. It is less flexible because it only finds one threshold value α for all λi. Researchers succeeded in developing a model to overcome the model weaknesses in (4) by adding new constraints that consider ambulance capacity and overcome the shortcomings of the model (5) by adding tighter limits on the value of α to minimize the difference between the values of λi and αλi. In addition, constraints can also be added to ensure that α is a realistic value and meets business requirements.
Tinjauan Keamanan Informasi Terhadap Sistem Integrasi EKTP pada Kota Cerdas Rafiqa Dewi
Jurnal Manajemen, Pendidikan Dan Ilmu Komputer Vol. 1 No. 2 (2024): Volume 1 No 2 Juli 2024
Publisher : Yayasan Darus Soleh Parung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65309/0byabc69

Abstract

Dalam mendukung terwujudnya E-Government cerdas dimana warga sudah menggunakan Kartu Tanda Penduduk Elektronik (EKTP), pemerintah mulai mengintegrasikan EKTP dengan beberapa pusat layanan. Sehingga sistem akan dapat mengetahui riwayat perjalanan dan layanan yang digunakan oleh warga. Hal ini tentu saja akan bertentangan dengan hak privasi penghuninya. Sedangkan proses integrasi EKTP dengan sejumlah pusat layanan tentunya memiliki celah yang dapat dimanfaatkan oleh pihak yang tidak berkepentingan sehingga dapat disalahgunakan. Artikel ini akan mengulas bagaimana keamanan informasi pada sistem integrasi EKTP, artikel ini meninjau mekanisme apa saja yang dilakukan untuk mencegah aktivitas ilegal terhadap informasi yang dihasilkan.
Co-Authors Ahmad Revi Ahmad Yani Ambariyanto Ambariyanto Angga Riadi Budhiarti Nababan, Erna Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Desi Ayu Ningsih Eka Irawan Eva Desiana Eva Desiana Febriani Fitri Anggraini Fitri Anggraini, Fitri Hartama, Dedy Heru Satria Tambunan Iin Parlina Iin Parlina Iin Parlina Ika Okta Kirana Ika Okta Kirana Ika Purnama Sari Imelda Asih Rohani Simbolon Indra Gunawan Indra Gunawan Indra Gunawan Indra Gunawan Irawan Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Juli Wahyuni Kevin Jukandika Leonardo Purba Marina Rajagukguk Marlina Drawati Saragih Melati Sitinjak Muhammad Ade Dharamawan Nasution Muhammad Fahrur Rozi Muhammad Ridwan Lubis Muhammad Sya'i Muhammad Zarlis, Muhammad Nurhidayana Nurhidayana Parlina, Iin Poningsih Poningsih Rahmat Kurniawan Rahmat W Sembiring Revi, Ahmad Rido Maruli Tua Pasaribu Risky, Stefani Nadia Roulina Simarmata S Solikhun Safii, M. Saifullah Saifullah Siburian, Theresia Solikhun Lihun Solikhun Solikhun Solikhun Solikhun Stefani Nadia Risky Suhada Suhada Suhada Suhada Sundari Retno Andani Sundari Retno Andani Sundari Retno Andani Neno Syaputri, Vera Theresia Siburian Tulus Tulus Wanto, Anjar Widodo Saputra Widodo Widodo Widodo Widodo Zulaini Masruro Nasution Zulia Almaida Siregar Zulia Almaida Siregar