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All Journal JAIS (Journal of Applied Intelligent System) Journal of Information System Jurnal Eksplora Informatika Conference SENATIK STT Adisutjipto Yogyakarta Indonesian Journal of Business Intelligence (IJUBI) Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Zonasi: Jurnal Sistem Informasi Joined Journal (Journal of Informatics Education REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Telecommunication, Electronics and Control Engineering (JTECE) Journal Of World Science Indonesian Journal of Informatics and Research Journal Of Human And Education (JAHE) Jurnal Pengabdian Mitra Masyarakat (JPMM) SmartComp Media Elektrik
Rito Cipta sigitta Hariyono
Universitas Bhamada Slawi
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Media Elektrik

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ANALYSIS MATURITY LEVEL MEDICAL SERVICES ELECTRONIC USING COBIT 5 FRAMEWORK (CASE STUDY: RSUD XYZ) Rito Cipta Sigitta Hariyono; Sri Hartati; Arif Rahman; Arif Nursetyo; Firman Ardy Prasetyo
Jurnal Media Elektrik Vol. 21 No. 1 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v21i1.561

Abstract

The objective of this study is to develop an audit strategy for information system security at XYZ General Hospital, perform a comprehensive security assessment of the REMPEYEK (Electronic Service Medical Record) information system, and provide recommendations for improvement. Quantitative research is a methodology that involves the collection of data through direct assessment of the individuals or entities under investigation. In addition, the COBIT 5 tool is employed to analyze the gathered data in order to acquire a quantitative capability analysis. This study examines the COBIT 5 framework's relevance to the identification of business objectives for information system security in the context of the Rempeyek information system. The identified problems and obstacles in the system include inadequate budget management, insufficient coordination between Diklitbang and the units involved in application development, and a misalignment between information technology systems and security measures. The findings of the assessment on the maturity of the information system security indicate that the DSS05 and APO13 domains have achieved a level 2 status, known as "Managed Process." The capability values for these domains are recorded as 2.02 and 2.68, respectively. This suggests that the relevant procedures have been effectively executed, supervised, and regulated.
FACE RECOGNITION MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER DAN LOCAL BINARY PATTERN HISTOGRAM Nurul Mega Saraswati; Rito Cipta Sigitta Hariyono; David Chandra
Jurnal Media Elektrik Vol. 20 No. 3 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v20i3.5546

Abstract

Peningkatan ancaman keamanan data menjadi konsekuensi dari kemajuan teknologi yang terus berkembang, terutama dengan adanya teknologi yang memungkinkan akses ke data dari jarak jauh. Penting untuk selalu menjaga keamanan data dan mengambil langkah-langkah preventif untuk mencegah terjadinya pencurian data. Face Recognition (pengenalan wajah) merupakan salah satu dari beberapa teknologi biometrik yang dapat digunakan untuk sistem verifikasi identitas. Tujuan penelitian ini adalah untuk mengetahui akurasi dari penerapan metode Haar Cascade Classifier dan Local Binary Pattern Histogram untuk pengenalan wajah. Data yang digunakan berjumlah 5 kelas, dengan masing-masing kelas memiliki250 citra wajah. Total data yang digunakan berjumlah 1250 citra wajah, terdiri dari 1000 data latih (train) dan 250 data uji (test). Proses pengambilan gambar dilakukan secara otomatis, sistem secara otomatis mengambil 250 wajah per kelas. Tahapan selanjutnya adalah ekstraksi fitur dengan menggunakan metode Local Binary Patterns Histograms (LBPH). Selanjutnya sistem akan mengenali wajah yang dideteksi dengan yang ada di dataset. Penggunaan metode Haar Cascade Classifier dan Local Binary Pattern Histogram (LBPH) untuk mendeteksi wajah menggunakan 250 data uji (test) mendapatkan nilai akurasi sebesar 92%. Pengujian secara real time dilakukan sebanyak 75 kali dengan jarak 30 cm, 50 cm, dan 100 cm. Penggunaan metode Haar Cascade Classifier dan Local Binary Pattern Histogram (LBPH) untuk mendeteksi wajah secara real time mendapatkan akurasi sebesar 90%.
Co-Authors Aang Alim Murtopo Achmad Zahruddin Afif Fauzi Angga Saputra Arif Nursetyo Arif Rahman Asfahani Asfahani Ben Rahman Chintia Iscahayawati David Chandra David Chandra Dhawuh Rahayu Dhio, M.Syafiq Khairun Dwi Septiani Fadilah Falah Syifa Fathulloh Fathulloh Firman Ardy Prasetyo Fuaida Nabyla Furqon, Mohamad Isfauzi Hadi Nugroho Khasanah, Muthi'atul Khasbulloh, M. Wahab Khoerunisa Khurotul Aeni, Khurotul M Ghozi Ghozali M. Zidan Alfariki Muamar Fahmi Muhammad Zidan Alfarikhi Nabyla, Fuaida Nasrulloh Nasrulloh Ningsih, Natasya Wahyu Nur, Muhammad Arifin Nursetyo, Arif Nurul Mega Saraswati Nurul Mega Saraswati Prasetyo, Firman Ardhi Randi Adzin Murdiantoro Rima Ruktiari Rizki Noor Prasetyono Rizky Mubarok Roni Halim Saputra Rudi Juniyanto Saraswati, Nurul Mega Saraswati, Nurul Mega Saraswati Sarif Surorejo Septi, Ariani Dwi Sigit Tri Wibowo Sorikhi Sorikhi, Sorikhi Sri Hartati Sri Hartati Sulistyani , Anggraeni Mashinta Syarifah Wahyuni Al Syarief Tezhar Rayendra Trastaronny Pastika Nugraha Yustira .