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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal of Social Sciences and Technology for Community Service
Asep Denih
Universitas Pakuan
Humanities Computer Science & IT Engineering Languange, Linguistic, Communication & Media Library & Information Science

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OUTSOURCED EMPLOYEE RECRUITMENT DECISION SUPPORT SYSTEM WITH FUZZY TOPSIS INTEGRATED REST API METHOD Asep Denih; Asep Saepulrohman; Febri Febriansyah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5521

Abstract

PT Dina Mika Muda Mandiri is a logistics and transportation company that is facing challenges in recruiting outsourced employees to meet the company's standards with complex assessment criteria. In overcoming this problem, the research developed a decision support system that is integrated with Rest API and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The system aims to improve the efficiency and accuracy of candidate selection by evaluating criteria such as interviews, knowledge, testing, curriculum vitae (CV), processing time, and salary. Two case studies were conducted involving 36 applicants for a website upgrade project and 24 applicants for an outsourced goods transit system. The results demonstrate that the decision support system integrated with Fuzzy TOPSIS significantly enhanced the selection process, improving accuracy by 91% for the website upgrade project and 97% for the goods transit system when compared to traditional human resource development (HRD) decision criteria. This demonstrates the system's effectiveness in aligning with HRD standards, making the recruitment process more effective, accurate and efficient. Future research should explore methods to refine the weighting of criteria and integrate expert opinions or more sophisticated machine learning algorithms to support more objective decision support systems in outsourcing employee recruitment.
Edukasi Penggunaan Teknologi Drone dan IoT Untuk Identifikasi Limbah Sawit di Desa Wirajaya, Bogor Ema Kurnia; Asep Denih
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.316

Abstract

Desa Wirajaya, Kecamatan Jasinga, Kabupaten Bogor, merupakan salah satu wilayah dengan potensi besar dalam sektor perkebunan kelapa sawit. Namun, pengelolaan limbah padat seperti tandan kosong, cangkang, dan serat sawit belum dilakukan secara optimal dan masih berdampak negatif terhadap lingkungan. Masyarakat desa, khususnya petani dan kelompok pemuda, belum memiliki akses maupun keterampilan dalam pemanfaatan teknologi modern untuk mendukung pengelolaan limbah secara efisien dan ramah lingkungan. Kegiatan pengabdian ini bertujuan untuk meningkatkan kapasitas masyarakat dalam menggunakan teknologi drone dan Internet of Things (IoT) untuk mengidentifikasi dan memetakan lokasi penumpukan limbah sawit. Metode pelaksanaan meliputi observasi lapangan, pelatihan operasional drone, dan pelatihan penggunaan sensor IoT sederhana. Hasil kegiatan menunjukkan peningkatan keterampilan teknis peserta, munculnya kesadaran lingkungan yang lebih tinggi, dan terbentuknya kelompok pemuda yang lebih berwawasan. Program ini diharapkan dapat memberikan dampak berkelanjutan dalam mendorong inovasi berbasis teknologi di sektor perkebunan sawit skala desa.
Co-Authors Asep Saepulrohman Ema Kurnia Febri Febriansyah