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Pengelompokan Menggunakan Metode Clustering Pada Pola Hidup Pengguna KB Dio Fani Prakasa; Novriyenni Novriyenni; Lina Arlianan Nur Kadim
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.206

Healthy lifestyles are habits of doing something, be it food, healthy behavior so as to avoid the disturbance of all kinds of diseases, both physical and non-physical diseases, as well as birth control users must also strive for a healthy lifestyle, such as managing a healthy diet, rest, exercise, eating vegetables and fruits, doing optimal physical activity, not consuming alcohol, and maintaining a healthy body. In this problem, many family planning users do not pay attention to a healthy lifestyle because they think that the family planning tools used have no risk to health, but the use of family planning has side effects on health such as menstruation is not smooth, the body is obese, the body feels warm or feverish, there are blood clots, nausea, bloating, changes in vision, difficulty in getting back to normal, headaches, and others. To be able to attract the attention of the community in implementing a healthy lifestyle for family planning users, it is very necessary to have a system that can help people in changing their unhealthy lifestyle to a healthier one by grouping family planning user data based on variables that have been determined using the clustering method, to group data on healthy lifestyles for family planning users which later the results of this study can be used as input and guidance for a healthy lifestyle for family planning users, so that family planning users are more careful and have a healthy life. Of the 20 data, there are 3 groups, namely group 1 there are 4 data and group 2 there are 4 data and group 3 there are 12 data from the above results it can be seen that in cluster 3 is a group on family planning users based on a lot with a total of 12 data and is located in the contraceptive type group (X) is injectable birth control, and for the lifestyle group (Y), namely Frequent Night Baths and Risk (Z), namely Decreased Bone Strength.

EVALUASI PEMAHAMAN MAHASISWA DALAM MEMAHAMI MANAJEMEN RESIKO suria Alamsyah Putra; Lina Arliana Nur Kadim
Jurnal Pengabdian Masyarakat Disiplin Ilmu (JPMASDI) Vol. 2 No. 1 (2024): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v2i1.3548

Evaluasi pemahaman mahasiswa dalam memahami manajemen risiko merupakan aspek penting dalam pendidikan tinggi yang bertujuan untuk mempersiapkan mereka dalam menghadapi tantangan di dunia kerja yang penuh risiko. Penelitian ini bertujuan untuk mengevaluasi tingkat pemahaman mahasiswa terhadap konsep dan praktik manajemen risiko serta faktor-faktor yang mempengaruhinya. Metode pengabdian yang digunakan adalah survei dan analisis data menggunakan instrumen penelitian yang telah disusun sebelumnya. Hasil penangbdian menunjukkan bahwa sebagian besar mahasiswa memiliki pemahaman yang cukup tentang konsep dasar manajemen risiko, tetapi masih terdapat area yang perlu ditingkatkan, terutama dalam hal penerapan konsep-konsep tersebut dalam konteks praktis. Faktor-faktor seperti latar belakang pendidikan, pengalaman kerja, dan tingkat kepercayaan diri dalam pengambilan keputusan juga memengaruhi tingkat pemahaman mahasiswa terhadap manajemen risiko. Berdasarkan temuan ini, disarankan agar pendidikan tinggi terus meningkatkan kurikulum dan metode pengajaran yang mendukung pembelajaran yang lebih aktif dan terintegrasi dalam manajemen risiko. Pemberian studi kasus, simulasi, dan proyek-proyek praktis dapat membantu mahasiswa mengembangkan pemahaman yang lebih mendalam dan keterampilan yang diperlukan untuk mengelola risiko secara efektif di masa depan.

APPLICATION OF K-MEANS CLUSTERING ALGORITHM TO ANALYZE INSURANCE COMPANY BUSINESS (CASE STUDY: PT. JASINDO INSURANCE) Elni Arbaeti, Endang; Hara Pardede, Akim Manaor; Nur Kadim, Lina Arliana
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.161

Asuransi Jasindo is an insurance company that accepts insurance coverage, both directly and indirectly, with the ownership of 1 series A dwiwarna share owned by the Republic of Indonesia and 424,999 Series B shares owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia or known as Asuransi Jasindo, has a qualified, long and mature experience in the field of general insurance even since the colonial era. This experience provides its own pioneering value for the existence and growth of Asuransi Jasindo's performance to date, so that it has succeeded in gaining public trust both at home and abroad. PT Asuransi Jasa Indonesia has several products and options in choosing which insurance is needed by customers, both agriculture, health, education and many more. Due to the large amount of insurance data, it is difficult for companies to process existing data and information. Therefore the author wants to create an application that can help companies process and classify existing insurance user data to produce information that can make it easier for insurers to provide better service to meet insurance user satisfaction using the K-Means Algorithm method. Of the 1089 data analyzed, the results that were most widely used were insurance data with ages 26-35 years, located in the Medan city sub-district with the type of insurance used, namely Jasindo Micro insurance.

PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN SPANDUK MENGGUNAKAN ALGORITMA C4.5 Triawan, Bagus; Lubis, Imran; Kadim, Lina Arliana Nur
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.172

Selling banners is an essential part of the advertising business, and having the ability to predict sales can assist companies in more effective production and marketing planning. In this research, we collected banner sales data from January to June 2023 and used the C4.5 algorithm to process the data. The decision tree method can help address issues occurring in the store. RapidMiner will aid in determining which products are more popular and less popular. Using the RapidMiner method will yield more accurate decision data and simplify product analysis. Based on the research findings, banners frequently ordered by consumers. The results of this research can serve as a guide for companies to optimize their banner sales strategies.

EVALUASI PEMAHAMAN MAHASISWA DALAM MEMAHAMI MANAJEMEN RESIKO Putra, suria Alamsyah; Kadim, Lina Arliana Nur
Jurnal Pengabdian Masyarakat Disiplin Ilmu Vol. 2 No. 1 (2024): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Januari 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v2i1.3548

Evaluasi pemahaman mahasiswa dalam memahami manajemen risiko merupakan aspek penting dalam pendidikan tinggi yang bertujuan untuk mempersiapkan mereka dalam menghadapi tantangan di dunia kerja yang penuh risiko. Penelitian ini bertujuan untuk mengevaluasi tingkat pemahaman mahasiswa terhadap konsep dan praktik manajemen risiko serta faktor-faktor yang mempengaruhinya. Metode pengabdian yang digunakan adalah survei dan analisis data menggunakan instrumen penelitian yang telah disusun sebelumnya. Hasil penangbdian menunjukkan bahwa sebagian besar mahasiswa memiliki pemahaman yang cukup tentang konsep dasar manajemen risiko, tetapi masih terdapat area yang perlu ditingkatkan, terutama dalam hal penerapan konsep-konsep tersebut dalam konteks praktis. Faktor-faktor seperti latar belakang pendidikan, pengalaman kerja, dan tingkat kepercayaan diri dalam pengambilan keputusan juga memengaruhi tingkat pemahaman mahasiswa terhadap manajemen risiko. Berdasarkan temuan ini, disarankan agar pendidikan tinggi terus meningkatkan kurikulum dan metode pengajaran yang mendukung pembelajaran yang lebih aktif dan terintegrasi dalam manajemen risiko. Pemberian studi kasus, simulasi, dan proyek-proyek praktis dapat membantu mahasiswa mengembangkan pemahaman yang lebih mendalam dan keterampilan yang diperlukan untuk mengelola risiko secara efektif di masa depan.

Perancangan Sistem Penentuan Peluang Usaha pada Usaha Mikro di Kota Binjai Menggunakan Metode Topsis: Studi Kasus; Dinas Koperasi & Umkm Kota Binjai Heka Herawati Br Tarigan; Relita Buaton; Lina Arliana Nur Kadim
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.336

As a developing city, Binjai has a variety of business potential that can be exploited by micro entrepreneurs. However, in identifying and exploiting these opportunities, they are often faced with various obstacles, such as lack of access to market information, intense competition, and changes in consumer needs. Therefore, determining effective business opportunities is the key to the growth and sustainability of micro businesses in Binjai City. Determining business opportunities for micro businesses in Binjai City includes an understanding of the complexities and challenges faced by the MSME sector in identifying and exploiting business opportunities. Determining business opportunities requires alternative types of business in the TOPSIS method to compare various business opportunities based on important factors so that you can choose the one with the most potential and profit. In this context, the use of the TOPSIS method is important to assist in making more informed and effective decisions for authorities such as the Department of Cooperatives and MSMEs. This method will provide a systematic framework for evaluating various existing business opportunities, enabling a more objective and accurate assessment to support the development of MSMEs in Binjai City.

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

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) 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

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; 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

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.

Pengelompokan UMKM Kota Binjai Menggunakan Metode Clustering K-Means Untuk Mengidentifikasi Pola Perkembangan Bisnis Intan Sari; Yani Maulita; Lina Arliana Nur Kadim
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 3 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.148

Grouping is a process or activity to develop a system that is more organized and easy to understand, making it easier to analyze, identify or manage data and can also be used to explore information so that it becomes new knowledge for anyone who wants to obtain it. and in this case the information we want to explore is about MSME data in Binjai City. Namely, it is difficult to know how to identify existing business development patterns, whether they are not yet developed, less developed, already developed, and very developed. Offline and online promotions have not been optimal in increasing the growth and change of a business from time to time. And most MSMEs still don't understand how to market their products and services effectively and efficiently. MSMEs are one of the most numerous community business groups in Binjai City. To obtain this information, one solution that can be implemented is by utilizing data mining using input data in the form of Binjai City MSME data. This data will be processed using the clustering method with the k-means algorithm using MSME business type variables, sales type variables and development pattern variables. .Based on the results of grouping Binjai City MSMEs using the K-Means Clustering Method from 20 grouped data, 3 clusters and 2 iterations were obtained where cluster 1 contained 4 data and was located in the MSME business type group, namely the businesses included in this cluster were businesses in the field of Fashion, for the sales type group, uses online and offline types, and for business development patterns, it has a development pattern that has developed. cluster 2 has 11 and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group the offline type is used, and for the business development pattern it has a development pattern that has developed. and cluster 3 has 5 data and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group it is using the offline type, and for the business development pattern it has a less developed development pattern. so it can be concluded that the pattern of business development of Binjai City MSMEs produces relevant data so as to produce designs that can be used for this research.

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