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Analisa Produktivitas Tenaga Kerja Pada Pekerjaan Struktur Atas Proyek Pembangunan Sekolah Citra Kasih Ambon Ode, Nur Ardiana; Serang, Rudi; Langi, Jeffrey Payung
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 10: September 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i10.5221

Abstract

Waktu pekerjaan suatu proyek konstruksi sangat bergantung terhadap produktivitas tenaga kerja. Tenaga kerja proyek konstruksi dituntut untuk bekerja secara efektif dan efisien. Namun kenyataannya tenaga kerja kurang efektif dalam bekerja. Penelitian ini bertujuan untuk mengetahui perbandingan produktivitas tenaga kerja dengan AHSP SNI 2022 serta mengetahui faktor yang mempengaruhi produktivitas paling dominan pada pekerjaan struktur atas proyek pembangunan Sekolah Citra Kasih Ambon. Pada pengumpulan data di lapangan dilakukan dengan cara pengamatan secara langsung sedangkan untuk perhitungan produktivitas tenaga kerja menggunakan metode output dibagi dengan input kemudian akan dibandingkan dengan AHSP SNI 2022 bidang cipta karya. Penelitian ini juga dilakukan dengan membagikan kuesioner kepada tenaga kerja untuk mengetahui faktor yang mempengaruhi produktivitas paling dominan. Data kuisioner diolah menggunakan SPSS versi 20. Dari hasil penelitian didapatkan besar perbandingan produktivitas tenaga kerja dengan nilai rata-rata pekerjaan pembesian sebesar 0,76, pekerjaan bekisting sebesar 0,87 Sedangkan pada pekerjaan pengecoran sebesar 0,002. Berdasarkan hasil perbandingan dengan AHSP SNI 2022, pekerjaan struktur atas pada proyek sekolah Citra Kasih Ambon tergolong rendah. Dari hasil analisis SPSS didapatkan faktor dominan yang mempengaruhi produktivitas tenaga kerja struktur atas Sekolah Citra Kasih Ambon berdasarkan koefisien beta adalah pengalaman kerja dengan nilai beta tertinggi 0,868.
PENGARUH TENAGA KERJA TERHADAP PRODUKTIVITAS PROYEK PEMBANGUNAN GEDUNG POLIKLINIK FAKULTAS KEDOKTERAN UNIVERSITAS PATTIMURA AMBON Assel, Mei Salsabila; Selly Metekohy; Langi, Jeffrey Payung
Journal Agregate Vol. 2 No. 2 (2023): September
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v2i2.1695

Abstract

A construction project is a series of activities related to the process of building an infrastructure with a predetermined time limit to estimate the time required to complete the project. In project planning, of course, work productivity must be considered. Especially on factors that can affect work productivity such as age factor, education factor and experience factor. The Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, is one of the government projects that costs up to Rp. 1,711,968,000.00-. The method used in this research is validation test, reliability test, F test and T test using the SPSS V16 tool where in this method the data from the questionnaire will be obtained which will then be analyzed with the SPSS V16 tool. The results obtained. Based on the results of data analysis that has been carried out, it is obtained that 1) the experience factor (X1) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, first floor work, Phase I with a sig value of 0.000 < 0, 05. 2) The age factor (X2) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, on the first floor, with a sig value of 0.000 <0.05. and 3) Educational factor (X3) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, on the first floor, with a sig value of 0.000 <0.05.
Transformasi Integrasi AI Terhadap Pembelajaran Inklusif dan Multikultural dalam Era Digitalisasi Pendidikan Subroto, Desty Endrawati; Runtu, Andro Ruben; Fahrudin, Ahmad; Langi, Jeffrey Payung; Arsyad, Muhammad
PEDAGOGIC: Indonesian Journal of Science Education and Technology Vol. 6 No. 4 (2026): PEDAGOGIC: Indonesian Journal of Science Education and Technology (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ijset.v6i4.6610

Abstract

This article aims to analyze the transformation of artificial intelligence (AI) integration in inclusive and multicultural learning in the era of educational digitalization. The study used a systematic literature review method on 35 scientific articles published in the period 2016–2026 and discussing AI in education, inclusive education, multicultural learning, assistive technology, AI literacy, algorithmic ethics, and generative AI. Article selection was carried out based on predetermined inclusion and exclusion criteria, then analyzed using thematic analysis through a process of grouping, coding, synthesizing, and interpreting key themes. The results of the study indicate that AI contributes to the transformation of learning through personalized learning, adaptive feedback, learning analytics, assistive technology, and expanding access to multicultural learning resources. On the other hand, AI implementation still faces challenges such as algorithmic bias, the digital access gap, low teacher AI literacy, and issues of privacy and ethical data use. These findings indicate that the success of AI integration is determined not only by technological advances, but also by teacher readiness, institutional governance, and the application of inclusive, multicultural, transparent, and ethical pedagogical principles. Therefore, AI needs to be positioned as a technology that supports, not replaces, the pedagogical role of teachers in creating equitable learning that values ​​diversity.