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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Manajemen Informatika Jayakarta Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI Jurnal Penelitian Teknologi Informasi dan Sains Jurnal ABDIMAS MUTIARA Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Jurnal Ilmiah METHONOMI Jurnal Publikasi Ilmu Komputer dan Multimedia
Kadim, Lina Arliana Nur
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Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Transportation Other

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Cluster Analysis Based on McKinsey 7s Framework in Improving University Services Deny Jollyta; Dwi Oktarina; Gusrianty; Renita Astri; Lina Arliana Nur Kadim; Ni Gusti Ayu Dasriani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2005.51 KB) | DOI: 10.59934/jaiea.v1i1.45

Abstract

The epidemic of Covid-19 has impacted all aspects of human life, including education. Academic and administrative services for academic community are suffering, as a result of the fact that not all universities are able to provide online services to help break the chain of Covid-19 distribution. This is due to a lack of human competencies to use technology and a lack of information technology resources, necessitating the development of new strategies by universities to address these flaws. The goal of this study is to develop a university service strategy based on McKinsey 7s cluster results on the part that is having issues based on questionnaire data. The questionnaire is organized on seven McKinsey elements. The Manhattan distance calculation and the K-Medoids algorithm results demonstrated that the structure, system, skill and staff are all part of elements that clustered in k=2 and has to be addressed in aiding services during the Covid-19 pandemic. The McKinsey 7s showed that universities service enhancements may be achieved by combining clustering techniques and McKinsey framework.
Occupational Correlation to the Level of Community Welfare Using The Apriori Algorithm (Case Study: Mangga Village) Aulia Adlin Revaldi; Novriyenni; Lina Arliana Nur Kadim
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.
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; Lina Arliana Nur Kadim
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.
Co-Authors ., Novriyenni ACHMAD FAUZI Ahmad Fauzi Ambarita, Indah Ameliana Sihotang Ardianti Ardianti Aulia Adlin Revaldi Ayu Dasriani, Ni Gusti Bagus Triawan, Bagus Brema Daniel Ginting Buaton, Relita Dea Syafitri Deny Jollyta Dio Fani Prakasa Dwi Oktarina Elisa Br. Sembiring Elni Arbaeti, Endang Fatimah Gusrianty Gusrianty Heka Herawati Br Tarigan Imran Lubis Intan Sari Khair, Husnul Kristina Annatasia Melda Pita Uli Sitompul Novriyenni Novriyenni Novriyenni Novriyenni Nursakinah Pardede, Akim Manaor Hara Putra, Suria Alamsyah Ramadani, Suci Ratih Puspadini Renita Astri Retni Noviyanti Siregar Ronauli Silaban Sihombing, Anton Simanjuntak, Magdalena Simanjuntak, Magdalena Siregar, Retni Noviyanti Suci Rahmadani suria Alamsyah Putra Yani Maulita Yusfrizal Yusfrizal Zema Zema Zira Fatmahira