Masalah utama yang dihadapi Pemerintah Daerah Provinsi Kepulauan Bangka Belitung saat ini adalah sulitnya mengklasifikasikan data industri rumahan berdasarkan Peraturan Menteri PPPA No 2 Tahun 2016 yaitu pemula, berkembang dan maju. Berdasarkan permasalahan tersebut diusulkan pengembangan algoritma Kmeans yaitu algoritma Dynamic cluster pada K-means dengan tujuan agar dapat menghasilkan klaster yang optimal dalam pengelompokan data industri rumahan dengan membangun aplikasi cerdas berbasis web. Penelitian ini menggunakan metode analisis data mining SEMMA, yang meliputi tahapan-tahapan seperti data sampel, deskripsi data, transformasi data, pemodelan data, dan evaluasi data. 3.466 industri rumah tangga digunakan sebagai sampel data. Kinerja algoritma dievaluasi menggunakan pengukuran validitas klaster Davies Bouldin Index (DBI). Hasil eksperimen menunjukkan bahwa algoritma Dynamic cluster pada K-means memberikan nilai yang optimal pada iterasi ke lima, dengan perolehan sebagai berikut: klaster pemula (C1) diperoleh sebanyak 3214, kemudian klaster berkembang (C2) diperoleh sebanyak 167 dan klaster maju (C3) diperoleh sebanyak 85. Hasil evaluasi validitas klaster menunjukan bahwa algoritma Dynamic cluster pada Kmeans memperoleh nilai DBI lebih kecil dibandingkan dengan algoritma K-means dengan nilai DBI sebesar 0.184. Implementasi algoritma dynamic cluster pada K-means untuk pengelompokan data industri rumahan pada Dinas P3ACSKB di Provinsi Kepulauan Bangka Belitung terbukti menghasilkan kualitas cluster yang lebih optimal.

PT. Benknet is a company that focuses on providing internet services in the village of O'o, Dompu District, Dompu Regency. As of 2018 until now, PT. Benknet controls several areas to provide internet services, including the areas of Dompu District, Hu'u District, Pajo District, Pekat District to include the Bima Regency area to be precise in Woha District, Sila Village and its surroundings. The phenomenon that occurs in this study is the success of PT. Benknet to aggressively expand its services so as to be able to provide internet services in a wide area for 6 years. The qualitative approach is the approach used in this study which is intended to describe reality or know from events that are used as research objects which then make it easier to obtain objective data. The results of this study indicate the management of PT. Benknet performs structured management control in both formal control systems and informal control systems so that all management functions run effectively and efficiently. PT management Benknet is fully aware of the importance of implementing a Management Control System in the company to ensure the company's performance is in accordance with management's plans and expectations. In addition, it turns out that the management of PT. Benknet understands how to apply a good and correct Management Control System so that PT. Benknet was able to achieve success and still survive as one of the largest internet service providers for 6 years.

An agency will thrive if it is supported by qualified employees. So that employees are certainly one of the most important assets in an institution, both private and public institutions, so that agencies are required to recruit prospective contract employees who have competence and talent to support the implementation of work at the Open University of Mataram City. Skilled workers who can bring institutions forward and compete with other agencies so that they can keep up with the times, and the recruitment aspect is starting to get a special view, because the recruitment process is not in accordance with the needs at the Mataram Open University so that it can hinder the rate of development of the agency itself. Therefore, a decision support system is needed for the contract employee recruitment process at the Universitas Terbuka Mataram. Therefore, a decision support system is needed for the contract employee recruitment process at universitas Terbuka Mataram campus. This decision support system uses the Simple Additive Weighting SAW method. In this case, prospective employees are compared with one another so as to provide an output value of priority intensity which results in a system that provides an assessment of each employee. This decision support system helps evaluate each employee, make changes to the criteria, and changes the weight values. This is useful to facilitate decision making related to employee selection issues, so that the most appropriate employees will be received in the company. The purpose of this study was to select the best candidate for employees at the Universitas Terbuka Mataram. The results of this study indicate that the SAW method is appropriate for selecting the best prospective employees because it can obtain qualified employees in accordance with the expectations of the company and the leadership.