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R. Mahdalena Simanjorang
STMIK Pelita Nusantara, Medan Indonesia
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Implementasi Kriptografi Pengamanan Data Pribadi Siswa SMA Swasta Jaya Krama Beringin Dengan Algoritma RC4 Rinaldi Maulana; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.576 KB) | DOI: 10.32672/jnkti.v4i6.3533

Abstract

The personal data of the Jaya Krama Beringin Private High School students is required in the administrative data collection by the school. Personal data includes student identification such as student name, family identification number (NIK), gender, address, mobile number, e-mail, and so on. In today's digital era data is everything, with the development of the internet network that is increasingly easy to access, it is necessary to know and be aware of what things are personal data and what should be done to protect personal data. The research problem is that the personal data security of Jaya Krama Beringin High School students needs attention due to the widespread occurrence of data theft by hackers to be misused, it is necessary to need computer software for data security. The first step in the RC4 algorithm stage is to carry out the KSA (Key Scheduling Algorithm) process which at this stage is the process of forming an S-Box (Array S) with a length of 256 bytes (index 0 to 255) based on the encryption key. After using the XOR operation on the ciphertext with the key, the XOR result of the binary number obtained is converted into plaintext.
Penerapan Metode Weighted Product Untuk Menentukan Petugas Avsec Terbaik Pada PT. Angkasa Pura II Kualanamu Bunga Ncari Putri Lea; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.252 KB) | DOI: 10.32672/jnkti.v3i2.2372

Abstract

PT. Angkasa Pura II Kualanamu is still experiencing problems at this time, where the system for selecting the best Avsec officers has not reached the target and is currently not running optimally, all because the assessment of the selection of the best Avsec officers is still carried out manually / objectively. The system is designed to produce information that can help personnel managers to assess employee performance using data and models to solve problems using the Weighted Product (WP) method. The system development method used in this research is a waterfall which consists of needs analysis, system design using UML, a system designed to produce information that can help PT. Angkasa Pura II Kualanamu to assess the best Avsec officers by using data and models to solve problems using the Weighted Product (WP) method. The assessment is based on the criteria of achievement, performance, discipline, loyalty and responsibility.
Sistem Pendukung Keputusan Pemilihan Kain Terbaik Di Toko Crown Textile & Tailor Dengan Metode Simple Additive Weighting (SAW) Sungguh Zebua; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.579 KB) | DOI: 10.32672/jnkti.v4i6.3553

Abstract

The retail business continues to grow rapidly along with the development of science and technology in the era of globalization, but the purchase of fabric is still done manually and not computerized, such as in choosing fabrics, only looking at the shape of the color and the price tag, if it is suitable and likes it is taken immediately without thinking what type of fabric to use. used for these clothes, when they have been made into clothes or clothes, do not match the criteria desired by consumers and many ready-made clothes are returned because the color becomes dull or faded, and does not match the desired motif. The problem in this study is to determine the selection of the best fabric using SPK with the Simple Additive Weighting (SAW) method in selecting the best fabric at Crown Textile Tailor built using PHP MyAdamin programming. The decision support system method used is Simple Additive Weighting (SAW), because it can determine the weight value for each attribute, through a ranking process selecting the best alternative from a number of alternative data, the results obtained are Viscose Rayon Fabrics worth 0.933, (Rank 1), Brukat Lace Fabrics are worth 0 .9 (Rank 2), Toyobo Cotton Fabric is worth 0.716 (Rank 3), Japanese Cotton Fabric is worth 0.700 (Rank 4).
Sistem Pendukung Keputusan Pemilihan Kain Terbaik Di Toko Crown Textile & Tailor Dengan Metode Simple Additive Weighting (SAW) Sungguh Zebua; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i6.3553

Abstract

The retail business continues to grow rapidly along with the development of science and technology in the era of globalization, but the purchase of fabric is still done manually and not computerized, such as in choosing fabrics, only looking at the shape of the color and the price tag, if it is suitable and likes it is taken immediately without thinking what type of fabric to use. used for these clothes, when they have been made into clothes or clothes, do not match the criteria desired by consumers and many ready-made clothes are returned because the color becomes dull or faded, and does not match the desired motif. The problem in this study is to determine the selection of the best fabric using SPK with the Simple Additive Weighting (SAW) method in selecting the best fabric at Crown Textile Tailor built using PHP MyAdamin programming. The decision support system method used is Simple Additive Weighting (SAW), because it can determine the weight value for each attribute, through a ranking process selecting the best alternative from a number of alternative data, the results obtained are Viscose Rayon Fabrics worth 0.933, (Rank 1), Brukat Lace Fabrics are worth 0 .9 (Rank 2), Toyobo Cotton Fabric is worth 0.716 (Rank 3), Japanese Cotton Fabric is worth 0.700 (Rank 4).
Implementasi Kriptografi Pengamanan Data Pribadi Siswa SMA Swasta Jaya Krama Beringin Dengan Algoritma RC4 Rinaldi Maulana; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i6.3533

Abstract

The personal data of the Jaya Krama Beringin Private High School students is required in the administrative data collection by the school. Personal data includes student identification such as student name, family identification number (NIK), gender, address, mobile number, e-mail, and so on. In today's digital era data is everything, with the development of the internet network that is increasingly easy to access, it is necessary to know and be aware of what things are personal data and what should be done to protect personal data. The research problem is that the personal data security of Jaya Krama Beringin High School students needs attention due to the widespread occurrence of data theft by hackers to be misused, it is necessary to need computer software for data security. The first step in the RC4 algorithm stage is to carry out the KSA (Key Scheduling Algorithm) process which at this stage is the process of forming an S-Box (Array S) with a length of 256 bytes (index 0 to 255) based on the encryption key. After using the XOR operation on the ciphertext with the key, the XOR result of the binary number obtained is converted into plaintext.
Penerapan Metode Weighted Product Untuk Menentukan Petugas Avsec Terbaik Pada PT. Angkasa Pura II Kualanamu Bunga Ncari Putri Lea; R. Mahdalena Simanjorang
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i2.2372

Abstract

PT. Angkasa Pura II Kualanamu is still experiencing problems at this time, where the system for selecting the best Avsec officers has not reached the target and is currently not running optimally, all because the assessment of the selection of the best Avsec officers is still carried out manually / objectively. The system is designed to produce information that can help personnel managers to assess employee performance using data and models to solve problems using the Weighted Product (WP) method. The system development method used in this research is a waterfall which consists of needs analysis, system design using UML, a system designed to produce information that can help PT. Angkasa Pura II Kualanamu to assess the best Avsec officers by using data and models to solve problems using the Weighted Product (WP) method. The assessment is based on the criteria of achievement, performance, discipline, loyalty and responsibility.
Co-Authors Bunga Ncari Putri Lea Rinaldi Maulana Sungguh Zebua