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Implementation of Clustering K-Means Algorithm classification of the need of Electricity power for each region at PT Lhokseumawe Muhammad Sadli; Wahyu Fuadi; Fajriana; Ermatita; Iwan Pahendra; Mutammimul Ula; Hardi, Richki
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar

PLN (State Electricity Company) is in charge of providing stock of needs for the grouping of electrical power and classification for each region in Lhokseumawe City. The area that were grouped based on the amount of power consists of the four subdistricts, namely Banda Sakti, Blang Mangat, Muara Dua and Muara Satu, each of which is sourced from the village. The importance of clusters is to separate each data between data in the villages that will be input into sub-district data. Furthermore, the K-Means Clustering Classification was used in determining the grouping of electrical power needs in each region in the Lhokseumawe City where this system classify the electricity stock needs in each region categorized into a cluster. In this study, Clustering Classification of K-Means variables include job (V1), overall income (V2), house area (V3), number of rooms (V4), number of electronic equipment (V5) and total of power usage (V6). Results of grouping of C1 system = Subsidy R-1/450 VA, C2 = Subsidy R-1/900 VA, C3 = Non Subsidy R-1/900, C4 = Non Subsidy R-1/1300, C5 = Non Subsidy R- 1/2200 VA. The purpose of this study is to be able to predict the classification of each electric power requirement for each region based on the input data per district. This has an impact on the community and PLN's stock of electricity needs in order to remain stable. It is found out from the Clustering K-Means Classification that there is a new cluster for Banda Sakti. The last step in determining Clustering K- Means stopped at the the iteration 3 until the cluster is optimal. The results of this study are in the form of grouping of PLN Customers from each region displayed in the system in the form of classification of electrical power in each subdistrictdistrict. Furthermore, the grouping can be recommended to predict the power needs of each sub-district and belong to the cluster provided by the PLN.

Analisa Pola Peminjaman Buku di Perpustakaan Fakultas Teknik Universitas Malikussaleh untuk Menentukan Tata Letak Buku Menggunakan Metode Algoritma Fp-Growth Umaiya, Fazilah; Wahyu Fuadi; Fajriana
Jurnal Elektronika dan Teknologi Informasi Vol 5 No 2 (2024): September 2024
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v5i2.490

This study aims to analyze book borrowing patterns in the Faculty of Engineering Library, Malikussaleh University in order to determine the optimal book layout. Book borrowing patterns are analyzed using the FP-growth algorithm method, a data mining technique that is efficient in finding association patterns or relationships between items in large databases. The data used in this study include book borrowing records from January to April 2024. The results of the analysis show that there are several significant borrowing patterns between certain book categories, for example, books on programming are often borrowed together with books on information systems. Based on these findings, book layout recommendations are proposed so that books that are often borrowed together are placed close together, thus facilitating access for users and increasing the efficiency of the library layout. The use of the FP-growth algorithm in this study has proven effective in identifying hidden patterns in book borrowing data. Keywords: Library, Data Mining, FP-growth Algorithm, Web

Aplikasi Tes Kemampuan dalam Melihat Minat Siswa di Sekolah Menengah Atas Lhokseumawe Ilhadi, Veri; Muthmainnah; Wahyu Fuadi; Ayu Widari, Lis; T. Sukma Achriadi Sukiman; Salamah
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i1.22079

Penelitian ini membahas pengembangan aplikasi tes kemampuan siswa untuk mengidentifikasi minat dan potensi mereka di SMA Negeri 1 Lhokseumawe. Tujuan utamanya adalah mengatasi tantangan dalam menilai minat dan kemampuan siswa secara cepat dan akurat, serta mendukung personalisasi pembelajaran. Aplikasi berbasis web dan mobile dikembangkan menggunakan teknologi React, Express.js, dan Dart, menyediakan alat diagnostik komprehensif dan visualisasi data yang mudah dipahami. Metodologi meliputi perancangan aplikasi, pengumpulan data, analisis menggunakan teknik statistik dan machine learning, serta implementasi dan pelatihan. Hasil awal menunjukkan distribusi kemampuan belajar siswa yang bervariasi, dengan mayoritas berada pada level Medium. Tantangan implementasi seperti keterbatasan anggaran dan variasi kemampuan teknologi staf diatasi melalui solusi seperti pelatihan intensif dan implementasi bertahap. Hasil Pengabdian ini aplikasi ini berpotensi signifikan meningkatkan kualitas pembelajaran melalui pendekatan yang lebih personal dan efektif dalam pendidikan.

IMPLEMENTATION OF THE EDAS (DISTANCE FROM AVERAGE SOLUTION) ALGORITHM FOR CLASSIFICATION OF MID-RANGE SMARTPHONE RECOMMENDATIONS Irshad Ahmad Reshi; Dr M Rajeswari; Ramadhana Juseva; Wahyu Fuadi; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.5

This research aims to help people choose the best smartphones at affordable prices in the range of 2-5 million using the EDAS (DISTANCE FROM AVERAGE SOLUTION) method. Visual language modeling such as UML is used to input smartphone lists and judgments from experts or smartphone brand sales regarding features such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera size, and others. The EDAS calculation process was carried out with 34 smartphone data samples from various brands such as VIVO, OPPO, Realme, Xiaomi, Samsung and Infinix which were taken from the GSM Arena API as the main source of data. To achieve this goal, visual language modeling is first carried out using UML (Unified Modeling Language) such as Class Diagrams, Use Case diagrams, and Activity diagrams. The concept of this application is to input a list of smartphones that interest the user and assess the specifications of the smartphone using the assessment of experts or parties experienced in selling and evaluating smartphones, such as assessments from sales of a smartphone brand. Weighting is also carried out by evaluating each specification such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera megapixel size, telephoto, depth sensor, macro camera, monochrome camera, screen, screen type, processor, and processor type. Weighting is done on a scale from 0 to 10. Weighting from 0-10 is done to assess each specification. The results of the EDAS implementation are the 5 most recommended smartphones and the 5 least recommended smartphones. namely for the 5 most recommended smartphones Redmi 8 with a score of 1.2431, Infinix S5 Lite with a score of 1.2143, Infinix S5 with a score of 1.2143, Tecno i7 with a score of 1.1344 and Oppo F3 Plus with a score of 1.0397. also the least recommended smartphones are Infinix Zero 5 with a score of -2.0970, Redmi Note 7 Pro with a score of 0.2334, Vivo Z1 Pro with a score of 0.2628, LG W30 Pro with a score of 0.2922, Xiaomi Mi A3 with a score of 0.3120.

EMPOWERMENT OF TAMBAK FARMERS GROUPS IN COMMUNITY ECONOMIC DEVELOPMENT IN THE VILLAGE PADANG SAKTI Khairawati; Wahyu Fuadi; Eva Ayuzar; Nurainun; Rahmaniar
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 3 No. 3 (2023): November 2023 - February 2024
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/irpitage.v3i3.1294

The problems faced by the pond farmer group partners are very complex, namely from the macro production aspect where the limitations of the shrimp cultivation technology applied are still very traditional, large areas of land but not yet properly utilized, expensive feed costs, lack of business capital, while at the micro level they are constrained by limitations in mastery. technology and shrimp cultivation process with the latest technology. The marketing management aspect is still traditional where the harvest is only sold in local markets and also to agents who buy directly from farms so that their sales turnover is not too large. Aspects of Business Management where the harvest results are not utilized properly in empowering the community's economy. The aim of implementing environmentally assisted village service activities in Padang Sakti Village, Muara Satu District is to find solutions to the problems faced by partners in empowering and developing the economy of the pond farmer group community. The approach method that will be used in providing solutions to problems faced by partners by providing knowledge is by providing training/counseling and mentoring with the use and application of good and correct shrimp farming management cultivation technology, correct marketing management by utilizing information technology to carry out online promotions so that harvest results can be distributed properly as well as providing training on processing pond products to make healthy food at economical prices which can empower the community's economic income. Based on the implementation of community service programs in environmentally assisted villages that have been implemented smoothly, the Meuhasae farmer group, Padang Sakti Village, Muara Satu District, is very enthusiastic in participating in training, mentoring and playing an active role in asking discussion questions or sharing knowledge with the material provided both in terms of management. aquaculture and from a marketing perspective. It is hoped that the results from the shrimp farming sector will improve and the harvest results will be able to help partners in increasing the income of the Partner group.

Analisa Pola Peminjaman Buku di Perpustakaan Fakultas Teknik Universitas Malikussaleh untuk Menentukan Tata Letak Buku Menggunakan Metode Algoritma Fp-Growth Umaiya, Fazilah; Wahyu Fuadi; Fajriana
Jurnal Elektronika dan Teknologi Informasi Vol 5 No 2 (2024): September 2024
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v5i2.490

This study aims to analyze book borrowing patterns in the Faculty of Engineering Library, Malikussaleh University in order to determine the optimal book layout. Book borrowing patterns are analyzed using the FP-growth algorithm method, a data mining technique that is efficient in finding association patterns or relationships between items in large databases. The data used in this study include book borrowing records from January to April 2024. The results of the analysis show that there are several significant borrowing patterns between certain book categories, for example, books on programming are often borrowed together with books on information systems. Based on these findings, book layout recommendations are proposed so that books that are often borrowed together are placed close together, thus facilitating access for users and increasing the efficiency of the library layout. The use of the FP-growth algorithm in this study has proven effective in identifying hidden patterns in book borrowing data. Keywords: Library, Data Mining, FP-growth Algorithm, Web

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