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Strategi Peningkatan Kesadaran Hukum Masyarakat Terhadap UU ITE Dan Pemanfaatan Teknologi Di Era Digital Silviani, Yessi; Muthoharoh, Marfuatin; Julistina, Melly; Oktaria, Nenni; Putra, Adi Pramono; Ninosari, Devina; Khairil, Khairil; Sartika, Devi; Hermana, M.Arafat; Aprianto, Sandi
Jurnal Gotong Royong Vol 2 No 1 (2025): Mei
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/gotong royong.v2i1.7921

Abstract

The increasing use of information and electronic technology has positive and negative impacts on daily life. Information and electronic technology facilitate communication, access to information, and business transactions. Digital utilization is one of the instruments of progress but also has the potential to become a problem if used inappropriately. Therefore, a legal product was made in the form of legislation which is a legal guideline that becomes an instrument for the implementation of Indonesia as a state of law, namely the Electronic Information and Transaction Law (ITE Law) which was issued as an effort to regulate the governance of information and electronic technology in Indonesia. In this context, the socialization activities to increase awareness of the importance of legal awareness and the rules contained in the ITE Law for the community in RT 23 Pematang Gubernur Village, this journal discusses the strategies applied in the Community Service Program (KKN) to increase community awareness of the Electronic Information and Transaction Law (ITE Law) and the use of technology in the digital era. The methods used include socialization, training, and the use of digital technology. Results showed an increase in community understanding of social media ethics and the risks of violating the law.
IMPLEMENTASI DATA MINING DALAM PENGELOMPOKKAN PEGAWAI BERDASARKAN KINERJA PADA BADAN KEPEGAWAIAN DAN PENGEMBANGAN SUMBER DAYA MANUSIA BENGKULU TENGAH Muthoharoh, Marfuatin; Sartika, Devi; Fitter, Ockhy Jey
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4221

Abstract

Abstract: Civil Servants (PNS) have an important role as public servants who must provide fair and quality services. Therefore, it is absolutely necessary to have human resources (HR) who have the capability to carry out their duties effectively, efficiently, productively, and professionally. The current employee performance assessment process is sometimes still subjective, this can be seen from the low productivity of employees in government agencies and the results of employee performance measurements have not been utilized optimally. One way is to use the Clustering technique with the K-Means algorithm which has a high level of accuracy in measuring objects. The final result of this study is a system that can cluster performance quality into 3 parts where the Best Performance Quality consists of 8 people, Fair Performance Quality consists of 1 person and Poor Performance Quality consists of 6 people.Keywords: Clustering, K-Means, Performance Quality Abstrak: Pegawai Negeri Sipil (PNS) memiliki peran penting sebagai pelayan masyarakat yang harus memberikan layanan yang adil dan berkualitas. Oleh karena itu, mutlak diperlukan sumber daya manusia (SDM) yang memiliki kapabilitas untuk menjalankan tugasnya dengan efektif, efisien, produktif, dan profesional. Proses penilaian kinerja pegawai yang dilakukan saati ini kadang masih bersifat subjektif, hal ini dapat dilihat dari rendahnya produktivitas pegawai di lingkungan instansi pemerintah dan hasil pengukuran kinerja pegawai masih belum dimanfaatkan dengan maksimal. Salah satu caranya dengan menggunakan teknik Clustering dengan algoritma K-Means yang memiliki tingkat ketelitian yang tinggi dalam mengukur objek.Hasil akhir dari penelitian ini adalah sebuah sistem sistem yang dapat meng-cluster kualitas kinerja menjadi 3 bagian dimana Kualitas Kinerja Terbaik terdiri dari 8 orang, Kualitas Kinerja Cukup Baik terdiri dari 1 orang dan Kualitas Kinerja Tidak Baik terdiri dari 6 orang.Kata kunci: Clustering, K-Maens, Kualitas Kinerja