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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma CSRID (Computer Science Research and Its Development Journal) JISICOM (Journal of Information System, Infomatics and Computing) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Manajemen Informatika Jayakarta Indonesian Journal of Education And Computer Science Scientica: Jurnal Ilmiah Sains dan Teknologi Greenation International Journal of Engineering Science Nusantara Journal of Multidisciplinary Science Journal of Computer Science Contributions (Jucosco) Jurnal Siber Multi Disiplin Journal of Informatics and Information Security Greenation International Journal of Engineering Science Jurnal Greenation Ilmu Teknik
Nurfiyah
Universitas Bhayangkara Jakarta Raya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Pelatihan Keamanan Data Pada Penggunaan Microsoft Office Bagi Guru di SDIT Mutiara Bekasi Nurfiyah, Nurfiyah; Salkiawati, Ratna; Lubis, Hendarman
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 2 (2023): Juli 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/rem1b822

Abstract

Information Technology Security is increasingly advanced, not only in the world of the manufacturing industrybut also penetrates the world of education. This forces educators to be able to develop their abilities to know howto secure data in Ms.Office. Therefore, as a manifestation of Bhayangkara Jakarta Raya University's commitmentto carrying out the Tri Dharma of Higher Education in community service, the Informatics Study Program carriedout activities with the theme "Data Security Training on the Use of Ms.Office at SDIT Mutiara" as an effort toapply knowledge about information technology security. At the moment. The purpose of this training is to increaseknowledge and insight for participants in terms of Data Security at Ms. Office, as well as providing training tomake data security and broaden knowledge of the use of Ms. Office for teachers of SDIT Mutiara. The materialprovided in this training is in the form of an introduction to the concept of Data Security, types of software inmaking teaching materials with Ms. office. The methodology for carrying out this activity begins with datacollection, determining the theme of the service to be given, literature study, making training materials, presentingtraining. The result of this training is an increased understanding of data security by 97%. From the data securitytraining activities in Microsoft Office that have been carried out for teachers and administrators of SDIT MutiaraBekasi, it can be seen that the participants were very enthusiastic and motivated to do security for their data sothat during the training the participants did not feel bored with the material delivered by the tutor.
ANALISIS PREDIKSI PENJUALAN PRODUK MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR REGRESSION Salkiawati, Ratna; Lubis, Hendarman; Nurfiyah, Nurfiyah; Al Malik MK, Abdillah Syah
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2132

Abstract

Toko Sembako merupakan usaha yang bergerak dibidang perdagangan, produk yang menyediakan produk sembako. Permasalahan yang ada yaitu belum adanya prediksi penjualan produk di masa mendatang berdasarkan data yang telah direkam sebelumnya. Prediksi ini untuk mempermudah serta memberitahu pemilik toko mengenai produk yang paling banyak dibeli konsumen. Untuk mengetahui prediksi penjualan produk digunakan metode K-Nearest Neighbor Regression, selanjutnya akan melewati tahapan Knowledge Discovery in Database (KDD). Hasil yang diperoleh penulis dari penelitian ini adalah nilai k = 2 mendapat RMSE 0.31318 untuk produk Beras pada bulan ke-11, k = 2 mendapat RMSE 0.29367 untuk produk Gula Pasir pada bulan ke-11 dan bulan ke-12, k = 4 mendapat RMSE 0.34002 untuk produk Minyak Goreng 2 Ltr pada bulan ke-11 dan bulan ke-12, k = 3 mendapat RMSE 0.31820 untuk produk Telur Ayam pada bulan ke-11, k = 6 mendapat RMSE 0.44437 untuk produk Tepung Terigu pada bulan ke-8. Seperti yang tertera dalam pedoman RMSE dapat disimpukan bahwa seluruh model yang penulis uji memiliki satu kesalahan yang kecil yaitu 0,00 – 0,299 dan empat kesalahan sedang yaitu 0,30 – 0,559.
Co-Authors Achmad Noeman Ade Irawan Al Malik MK, Abdillah Syah Alexander, Allan D Alifia Salsabila Apriliani, Lita Ardilla, Al Ihsan Fauzi Arfan Dwi Madya Arif Rifai Dwiyanto Arin Novita Dewi Arizky Kurniawan, Wisnu Bagas Djoko Haryanto Darmawan , Krisna Devi Putri Ningsih Dimas Abimanyu Prasetyo El Ghozy, Ilham Nur Elvangga , Kelvin Farhan Dwi Setiawan Firdaus, Imansyah Abinda Fried Sinlae Hadi , Fairuz Irfan Ikbal Eka Saputra Jeremiah Marvin Kapoyos Joniwarta Kustanto , Prio Linda Fitriyani Lubis, Hendarman Lubis, Hendarman Lubis Maulana , Rifqi Mochamad Reyhan Gusnaldi Muhamad Akbar Putra Prasetyo Muhamad Dicky Alfaridzi Muhamad Rinjani Ramadan Muhammad Ali Mustaqim Muhammad Yasir Mujiono Sadikin Nanda Eka Rindiati Noe’man, Achmad Nurfan Ramadhandi Pratama Yusuf, Ajif Yunizar Purwanto S. Katidjan, Purwanto S. Rakhmat Purnomo Ratna Salkiawati Ridwan, Ridwan Rifqi Hafidz Riyan Fauzi Hakim Trisnojuwono, Adi Ubaidillah , Muhammad Rofiq Wildan Hamzah Nur Fadholi Yolanda Zahrah Khairunnisa Zahwa Erikamaretha