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All Journal International Journal of Engineering, Science and Information Technology MUARA EKONOMI : Jurnal Ilmiah Ilmu Ekonomi, Manajemen & Bisnis
Irdam Irdam
Politeknik Sorowako
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Systematic Literature Review Berbasis PRISMA: Integrasi Capaian KPI, Critical Incident Technique, dan 360-Degree Feedback dalam Penilaian Kinerja Karyawan Musakirawati Musakirawati; Abdul Tahir; Irdam Irdam
MUARA EKONOMI : Jurnal Ilmiah Ilmu Ekonomi, Manajemen & Bisnis Vol. 2 No. 3 (2026): Juli : Jurnal Ilmiah Ilmu Ekonomi, Manajemen & Bisnis
Publisher : CV Muara Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64365/muanomi.v2i3.486

Abstract

Penilaian kinerja karyawan merupakan salah satu praktik penting dalam manajemen sumber daya manusia karena hasilnya memengaruhi pengembangan kompetensi, promosi, kompensasi, suksesi, dan pengambilan keputusan organisasi. Namun, sistem penilaian kinerja sering menghadapi persoalan subjektivitas, bias penilai, keterbatasan indikator, serta lemahnya keterkaitan antara hasil kerja, perilaku, dan bukti kontekstual. Artikel ini menyajikan systematic literature review mengenai model penilaian kinerja yang berkaitan dengan integrasi capaian Key Performance Indicator (KPI), Critical Incident Technique (CIT), dan 360-degree feedback. Kajian disusun dengan mengacu pada prinsip PRISMA 2020. Sebanyak 31 dokumen PDF diidentifikasi dari korpus yang diberikan, empat dokumen duplikat dihapus, dan 27 artikel unik disaring. Satu artikel klasik tentang CIT tahun 1954 digunakan sebagai dasar konseptual, tetapi tidak dimasukkan dalam sintesis utama karena berada di luar rentang 2019-2025. Dengan demikian, sintesis tematik dilakukan terhadap 26 studi utama. Hasil kajian menunjukkan bahwa KPI dan balanced scorecard kuat dalam mengukur pencapaian sasaran strategis; 360-degree feedback memperkaya bukti perilaku melalui penilaian multisumber; CIT memberikan data insiden yang konkret dan kontekstual; sedangkan HR analytics dan sistem pendukung keputusan membantu integrasi, visualisasi, dan kalibrasi hasil penilaian. Meskipun demikian, literatur masih terfragmentasi karena sebagian besar studi hanya menonjolkan satu pendekatan. Artikel ini mengusulkan model penilaian kinerja terintegrasi KPI-CIT-360 yang menggabungkan capaian hasil, perilaku kerja, dan bukti insiden kritis melalui pembobotan, kalibrasi kualitas bukti, dan jalur keputusan SDM yang transparan.
Design and Development of a Mini Excavator as Innovative Learning Media Abdul Tahir; Irdam Irdam; Jasman Jasman; Musakirawati Musakirawati
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1775

Abstract

The rapid advancement of mechanical and electronic engineering, particularly in heavy equipment and construction automation, requires innovative learning media that effectively bridge theoretical knowledge and practical implementation. Conventional instructional methods often provide limited opportunities for students to develop hands-on experience with complex mechatronic systems. This study presents the design, development, and evaluation of a miniature battery-electric excavator intended as an educational platform for teaching construction robotics, automation, and sustainable engineering principles. The development process followed a structured methodology consisting of conceptual design, mechanical fabrication, electronic integration, simulation, and functional testing. Unlike conventional excavators that rely on hydraulic actuators, the proposed system employs electric motors to drive the boom, arm, and bucket mechanisms, demonstrating an energy-efficient and environmentally friendly alternative. Locomotion is achieved using DC gearbox motors for wheel movement, while an independent DC motor enables 90° rotational motion. The control architecture is based on an Arduino Mega microcontroller integrated with a wireless PS2 joystick, providing intuitive and precise user control. Lightweight aluminum was selected for the backhoe assembly to reduce overall weight, whereas the main chassis was constructed from mild steel to ensure structural strength and operational stability. Experimental evaluation confirmed that the prototype successfully performed essential excavation motions, achieving a maximum horizontal reach of 1,400 mm, a vertical reach of 1,420 mm, an average operating speed of 0.5 m/s, and a maximum speed of 1.0 m/s. With compact dimensions of 800 × 600 × 750 mm, the system is safe, portable, and suitable for laboratory-based education. Furthermore, the platform supports Deep Neural Network (DNN) data generation and reinforcement learning research, providing a cost-effective and safe environment for advancing student competencies in intelligent construction technologies
Co-Authors Jasman Jasman Musakirawati Musakirawati Tahir, Abdul