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Analisis Kinerja Algoritma Klasifikasi terhadap Dataset Penerimaan Pegawai Outsourcing Syahputra, Firman; Tanjung, Dahri Yani Hakim; Verina, Wiwi; Ihsan, Ok.Muhammad; Dewi, Rofiqoh; Sanjaya, Andi
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14729

Abstract

Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja tiga algoritma klasifikasi, yaitu Decision Tree, Naive Bayes, dan K-Nearest Neighbors (K-NN), dalam memprediksi kelayakan calon pegawai outsourcing berdasarkan data historis. Evaluasi dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score. Dari hasil pengujian yang telah dilakukan dimana nilai akurasi dari algoritma C4.5 yang dihasilkan adalah 75,00%. Nilai akurasi ini lebih besar daripada model algoritma klasifikasi K-NN sebesar 73,00% dan naïve bayes sebesar 64,00%, namun nilai performa algoritma KNN ini memiliki keunggulan nilai performa akurasi dibandingkan dengan Naïve bayes. Hasil analisis menunjukkan bahwa algoritma Decision Tree memiliki kinerja terbaik dibandingkan dua algoritma lainnya, baik dari sisi akurasi maupun keseimbangan antara presisi dan recall. Hal ini menunjukkan bahwa model Decision Tree cukup efektif dalam menangani data campuran dan menghasilkan prediksi yang andal dalam konteks klasifikasi calon pegawai outsourcing. Dengan hasil ini, diharapkan model klasifikasi berbasis Decision Tree dapat diterapkan dalam sistem pendukung keputusan untuk meningkatkan efisiensi dan akurasi dalam proses rekrutmen tenaga kerja outsourcing. Penelitian ini diharapkan dapat menjadi acuan untuk penelitian lebih lanjut di bidang penerapan data mining dalam manajemen sumber daya manusia.
Sosialisasi Budaya Menabung Melalui Platform Dinaran Riski, Bagus; Setiawan, Adil; Ridwan, Muhammad; Ananda, Dea; Syahputra, Firman; Aulia, Novi
Publikasi Pengabdian Masyarakat Vol 4 No 1 (2024): PUBLIDIMAS Vol. 4 No. 1 MEI 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i1.363

Abstract

Islamic This community service program aims to socialize the importance of a saving culture to the students of BLK Darul Musthofa using the digital platform Dinaran. The Dinaran platform, designed to facilitate the saving process with advanced digital features, is introduced as an effective tool in forming sustainable saving habits. The socialization activities include seminars and training that provide in-depth understanding of personal financial management and the benefits of saving. By using the Dinaran platform, participants are taught how to create savings plans, monitor expenses, and leverage technology to achieve their financial goals. Gold is an instrument that can protect wealth due to its inflation-resistant nature compared to paper money. The community service activities held at the Darul Musthofa Vocational Training Center (BLK), specifically attended by the students of BLK Darul Musthofa, provide the younger generation with the opportunity to understand the importance of saving from an early age. In these activities, the community is also introduced to the concept of saving in gold through the Dinaran platform. Saving in the form of gold has various advantages, such as protection against asset value from inflation and economic fluctuations. The Dinaran platform provides convenience for the community to buy, store, and manage gold digitally, making gold investment more accessible and safe. Students are taught how to use the Dinaran platform to buy gold in small amounts regularly, enabling them to start saving with affordable capital. Additionally, through this platform, they can monitor the value of their investments in real-time and sell their gold whenever needed. This offers greater flexibility and accessibility compared to traditional methods of storing physical gold. In this socialization, practitioners or lecturers provide insights into the history and market trends of gold, as well as effective investment strategies. They also discuss potential risks and how to manage them. Thus, participants gain a comprehensive understanding of saving in gold and how to utilize it to achieve long-term financial stability. Although the activities mainly involve students, it is hoped that the students will also share the information with their parents and the community. This aims to create collective awareness about the importance of saving and investing culture. With collaboration between students, parents, and the community, it is expected that the saving culture can be implemented comprehensively and sustainably. This program is expected to increase public awareness of the importance of saving and provide them with the necessary knowledge to manage their finances better in the digital era. By saving through the Dinaran platform, students are expected to achieve better financial security and more effective wealth protection through digital gold saving.
The Effectivity of Giving Citronella Ark Blok to Improve the Quality of Etawah Crossbreed Goat Milk Dzarnisa, Dzarnisa; Syahputra, Firman; Asril, Asril
Jurnal Agripet Vol 25, No 1 (2025): Volume 25, No. 1, April 2025
Publisher : Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/agripet.v25i1.45052

Abstract

This study aimed to evaluate the effect of citronella ark blocks on the fat, lactose, and protein content of Etawah crossbreed goat milk. The study used five female Etawah crossbreed goats, each in their first and fifth lactation periods. A Latin Square Design (LSD) was employed, with five treatments and five replications, as follows: P0: 0% citronella block, P1: 2% of total ration, P2: 4% of total ration, P3: 6% of total ration, and P4: 8% of total ration. The parameters measured included milk fat, lactose, and protein content. The results indicated that the administration of citronella ark blocks had no significant effect (P0.05) on the milk quality of Etawah crossbreed goats. Before treatment, the milk had an average fat content of 4.16%, lactose content of 3.91%, and protein content of 4.11%. After treatment, the milk quality improved, with fat content reaching 4.9%, lactose content 4%, and protein content 4.16%. Therefore, the use of citronella ark blocks may enhance milk quality, offering significant benefits for the dairy goat farming industry.