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All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat
Ahmad Abdullah Fahmi
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Computer Science & IT Electrical & Electronics Engineering

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Penerapan K-Means Clustering pada Pengelompokan Pelamar di Sistem Rekrutmen Berbasis Web Fiqrul Labib Abdullah; Mufti Ari Bianto; Vico Tegar Rawo Wijoyo; Ahmad Abdullah Fahmi
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1498

Abstract

In an increasingly competitive world of work, companies are required to have a fast, efficient, and objective employee selection process to get the best candidates. However, the high number of job applicants often causes the administrative selection process to be slow, inefficient, and prone to subjective errors in assessment. Therefore, a technology-based solution is needed that is able to systematically classify job applicants based on relevant criteria. This study proposes the application of the K-Means Clustering method to group job applicants based on three main variables, namely last education, work experience, and selection test scores. A total of 20 applicant data were analyzed using the K-Means algorithm with the stages of initial centroid initialization, Euclidean distance calculation, and iteration until the convergence point was reached. The results of the grouping resulted in three main categories: prioritized, considered, and doubtful applicants. Each group has its own characteristics that can help the HRD team in compiling a more selective and accurate list of candidates. This system is implemented in the form of a web-based recruitment platform that makes it easier for companies to conduct early selection automatically, structured, and data-based. The use of this method also increases accuracy and transparency in decision-making and reduces the potential for bias that often occurs in manual selection. These findings prove that K-Means Clustering is an effective and applicable method to support strategic decision-making in the field of human resources, especially in the early stages of employee selection. Additionally, this method can be easily adapted to the needs of other companies that have different selection criteria, making it flexible and widely applicable. The potential for the development of this system is also open to integration with other technologies such as machine learning or big data analytics in the future.
Inovasi Rocket Stove Beres (Bakar Efisien, Ramah, dan Emisi Sedikit) sebagai Solusi Pengelolaan Sampah Anorganik Minim Asap Maghfiroh, Isni Lailatul; Ahmad Abdullah Fahmi; Acha Fadila Putri; Khofifatuz Zaini; Chanda Nurul Fadhila; Nadhaturrahma Cahaya Sabita; Eka Wulan Ndari
ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Vol. 4 No. 3 (2026): Jurnal Pengabdian dan Kemitraan Masyarakat (ALKHIDMAH)
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/wd0y3t44

Abstract

The BERES (Efficient, Friendly, and Low Emission) Rocket Stove innovation is presented as a solution for managing inorganic waste that emphasizes combustion efficiency and environmental friendliness with minimal smoke emissions. This study aims to develop and test the performance of the BERES Rocket Stove in processing inorganic waste using an optimal combustion method so as to reduce waste volume while minimizing the impact of air pollution. The research method includes designing a prototype stove with a special configuration to ensure perfect combustion, followed by testing fuel efficiency and measuring combustion gas emissions using gas analysis equipment. The results show that the BERES Rocket Stove is capable of burning inorganic waste efficiently with lower fuel consumption compared to conventional stoves. In addition, the smoke emissions produced also decreased significantly, thus having a positive impact on the surrounding air quality. This innovation not only facilitates the management of inorganic waste at the household and small community levels, but also provides an economical and easy-to-implement environmentally friendly alternative solution. In conclusion, the BERES Rocket Stove has the potential to be an appropriate technology for effective, efficient, and sustainable inorganic waste management with minimal air pollution. This study recommends further development and widespread implementation of this technology to support waste management and environmental conservation programs
Co-Authors Acha Fadila Putri Chanda Nurul Fadhila Eka Wulan Ndari Fiqrul Labib Abdullah Khofifatuz Zaini Maghfiroh, Isni Lailatul Mufti Ari Bianto Nadhaturrahma Cahaya Sabita Vico Tegar Rawo Wijoyo