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All Journal Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Indonesian Journal of Education And Computer Science Nusantara Journal of Multidisciplinary Science Jurnal Ilmu Komputer dan Sistem Informasi
Novriyenni
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Dentistry Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Occupational Correlation to the Level of Community Welfare Using The Apriori Algorithm (Case Study: Mangga Village) Adlin Revaldi, Aulia; Novriyenni; Kadim, Lina Arliana Nur
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.257

Abstract

Mango village is one of the areas that participates in various welfare programs for the local community, where in this village there are still people who are far from prosperous because of various factors that affect the welfare of the local community, one of which is the jobs owned by the community. Therefore, it is important for people to understand that work also greatly influences the level of welfare for their own lives, so that they are fulfilled in the economy, education and others. Therefore the author wants to create a system that can assist the government in developing community welfare programs in Mango Village by knowing the relationship between work and the level of social welfare. After carrying out the above case trials with minimum support = 25%, confidence = 100% so that the rule results that meet the support and confidence values are obtained, it can be concluded that if the assets owned are A4 (motorcycles), with T2 dependents (3-4), with M2 jobs (Private Employees) and A4 assets (Motorcycles), with P2 income (> 1,000,000 - < 2,000,000), then enter K2 (welfare stage II) with a support value of 20%, 100% confidence.
Diagnosis of Herpes Zoster Using Bayes Theorem Method Frisca Prastiwi, Kellyn; Novriyenni; Khair, Husnul
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.259

Abstract

Expert Systems is one branch of Artificial Intelligence (AI) that makes widespread use of knowledge or knowledge specifically for solving expert human-level problems. Kartini Clinic has several health workers such as nurses, midwives to doctors who are ready to serve people who suffer from various diseases, one of which is Herpers Zoster disease. Shingles is an acute inflammation of the skin usually characterized by the appearance of red bubbles like small blisters that cluster on the surface of the skin and watery and accompanied by itching and heat. This disease will appear more if there is irritation, wounds or abrasions and a long healing process. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities.
Determination of Priority for Recipients of Distribution Assistance Facility IKM Business Actors (Small and Medium Industries) Using the Moora Method in Langkat District Fatimah; Novriyenni; Kadim, Lina Arliana Nur
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i2.298

Abstract

To determine priority recipients of assistance facilities for IKM business actors in Langkat Regency, the criteria used in this study are the type of production, capital requirements, sales results, number of employees, and length of business. The data used in this study comes from the Department of Trade and Industry. In this study the MOORA method was used which aims to design and build a decision support system in determining priority recipients of facilities for IKM business actors. The author wants to make this decision support system using the Visual Basic application and supported by the MySQL Database so that the results are more effective and efficient. From the 10 sample data obtained by means of prioritizing recipients of assistance facilities for IKM business actors, it can be seen that those who get rank I with the highest score i.e. 0.1133 is A06 in the name of devi.
PELATIHAN JARINGAN UNTUK MENINGKATKAN JIWA KEWIRAUSAHAAN SISWA SMK (IbM) Pardede, Akim Manaor Hara; Novriyenni
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.578

Abstract

Jurusan bidang informatika mencakup Teknik Komputer Jaringan, Audio Visual, Design Grafis, Teknik Informatika, dll terus meningkat baik tingkat sekolah menengah maupun tingkat perguruan tinggi. Jumlah pengangguran terbesar pada kabupaten Langkat saat ini adalah tamatan SMA/SMK/SMA, hal ini terkait dengan semakin tinggiya tingkat pendidikan masyarakat, yang umumnya telah tamat SLTA melanjut ke perguruan tinggi. Banyaknya peminat jurusan bidang informatika mengakibatkan kuatnya persaingan para lulusan untuk mendapatkan pekerjaan, sehingga perlu ada upaya penanggulangan untuk meningkatkan skill siswa-siswi dan lulusan jurusan bidang informatika agar tidak semata-mata ingin mencari perkerjaan tetapi mampu membuka lapangan kerja. STMIK Kaputama merupakan perguruan tinggi pertama dalam bidang informatika di Kota Binjai. Kaputama merupakan singkatan dari Karya Putra Utama, sesuai dengan tugas utamanya melaksanakan tridharma perguruan tinggi maka dosen STMIK Kaputama terus melakukan kegiatan pengajaran, penelitian dan pengabdian masyarakat, melihat kuatnya persaingan lulusan dan kebutuhan masyarakat Kabupaten Langkat dan sekitarnya, dosen STMIK Kaputama merasa terpanggil untuk melaksanakan pengabdian masyarakat untuk meningkatkan skill siswa SMK Swasta Esa Prakarsa dan SMK Harapan Bangsa Kuala dalam bentuk pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet untuk membangun jaringan warnet, perkantoran dan internet desa dalam meningkatkan kemandirian siswa. Dengan adanya pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet, diharapkan siswa-siswi SMK Swasta Esa Prakarsa dan SMK Swasta Harapan Bangsa Kuala dapat lebih meningkatkan skill dan jiwa wirausahaan sehingga mereka mampu berwirausaha sekaligus membuka lapangan kerja secara khusus untuk dapat menerima perbaikan komputer dan membangun jaringan warnet, jaringan internet perkantoran dan jaringan internet masuk desa. Selain adanya jiwa wirausaha, masyarakat juga terbantu khususnya pedesaan agar percepatan informasi dan komunikasi dapat lebih meningkat.
ANALISIS HYBRID CRYPTOSYSTEM ALGORITMA ALGORITMA RSA DAN TRIPLE DES Fauzi, Achmad; Novriyenni; Maulita, Yani; Pardede, A M H
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.585

Abstract

Keamanan data sangat dibutuhkan dalam hal berkomunikasi. Untuk menjamin keamananan data dibutuhkan teknik untuk menyadikan data dan informasi yang disebut dengan Kritografi. Penelitian ini bertujuan untuk mengalisis proses Hybrid Didalam Kritografi simetris dan Asimetris yang mengunakan Algoritma RSA dan Algoritma Triple DES. Hal ini dapat meningkatkan keamanan data sehingga data menjadi lebih terjaga kerahasiaannya. Metode yang digunakan Algoritma RSA (Riverst – Shamir- Adleman) ini merupakan algoritma asimetris menggunakan sistem bilangan prima secara Acak dalam proses keamanannya dan Algoritma Triple DES yang disebut jugan dengan algoritma simetris adalah metode OFB (Output feeback), dan sehingga ketika kedua algoritma ini digabungkan dalam proses Hybrid maka keamanan datanya semakin akurat. Analisis Hybrid Kriptosistem algoritma RSA dan algoritma Triple DES menunjukan bahwa data yang dibuat secara text akan dienkripsi menjadi chipertext dengan menggunakan kedua metode tersebut dan di deskripsikan kembali. Sehingga keamanan data nya relative aman.
Grouping of Student Learning Interest Data after the Pandemic at SMK Abdi Negara Binjai Using the K-Means Algorithm Clustering Method Ivan Candra Dinata; Relita Buaton; Novriyenni
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.988 KB) | DOI: 10.55227/ijhet.v1i3.75

Abstract

The online learning system is a learning system without face to face directly between teachers and students but is carried out online using the internet network. This is in accordance with the regulation of the Minister of Education and Culture of the Republic of Indonesia regarding Circular Letter Number 4 of 2020 concerning the Implementation of Educational Policies in the Emergency Period for the Spread of Corona Virus Disease (COVID-19). Abdi Negara Vocational School is one of the schools in Binjai City that carries out offline and online learning for its students, learning began in March 2020 when COVID-19 began to hit Binjai City. The COVID-19 pandemic has had many impacts on the state of society, one of which is in the field of education. All educational institutions are trying hard to maximize their respective ways of learning according to the circumstances of their students. Abdi Negara Vocational School which follows government regulations through the Minister of Education and Culture of the Republic of Indonesia also carries out online learning, with the aim that teachers, staff and students are not infected with COVID-19 and can break the chain of spreading the virus. With these conditions, SMK Abdi Negara Binjai needs to build a system that can classify student learning interests, so that it can be used as material for consideration and evaluation of student learning outcomes. Data grouping can apply the Data Mining process with the K-Means algorithm Clustering method which is a process of processing very large amounts of data using statistical, mathematical methods, to utilizing Artificial Intelligence technology to produce a data group. The system is designed with the MATLAB R2014a programming application, after testing with the system the results are that in group 1 there are 836 data, group 2 there are 178 data and group 3 there are 91 data with a total of 1105 student data from the questionnaire results on August 31, 2022 .
Co-Authors Achmad Fauzi Adlin Revaldi, Aulia ANDIKA Ayu Syahfitri Buaton, Relita Defita Br. Manurung, Sella Fatimah Frisca Prastiwi, Kellyn Gultom, Imeldawaty Ivan Candra Dinata Kadim, Lina Arliana Nur Karonika Br Barus Khair, Husnul M. Fadli Magdalena Simanjuntak Nurfadillah Pardede, Akim Manaor Hara Prahmana, I Gusti Raihan, Muhammad Ramadani, Suci Ramadhan, Said Rusmin Saragih, Rusmin Sholawati, Fitria Sihombing, Marto Simanjuntak, Magdalena Siswan Syahputra Sri Rezeki Syari, Milli Alfhi Yani Maulita