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All Journal Jurnal Manajemen Risiko Adopsi Teknologi dan Sistem Informasi
Chalsi Mala Sari
Mulawarman University
Computer Science & IT Decision Sciences, Operations Research & Management

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Identification of Risks of Delays in the Construction of Jalan Animal Hospital Mochamad Gaharu Dida Devedo; Ardhan Ismail; Ridzky Zul Asdi; Chalsi Mala Sari; Kartika Tristanto; Muhammad Ibadurrahman Arrasyid Supriyanto
JURNAL MANAJEMEN RISIKO Vol. 6 No. 2 (2025): December
Publisher : Pasca Sarjana UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/mr.v6i2.7350

Abstract

Timely completion of hospital construction projects is crucial to support public health services, but delays are a common problem that has an impact on increased costs and delayed social benefits. This study aims to identify the risk factors for causing delays and analyze the level of significance in the case study of the construction of the Jalan Kehewanan Hospital in Tenggarong. This study uses a qualitative approach with primary data collected through semi-structured interviews with the implementing contractor. Data analysis is carried out by mapping identified risks into risk matrices based on likelihood and impact. The results of the study identified four main risk factors, namely (1) Design Changes, (2) High Rainfall, (3) Restrictions on Working Hours by Residents, and (4) Equipment Damage. The risk assessment showed that Design Change (value 15) and High Rainfall (value 12) were the two factors with the most significant High risk level, while the other two factors were at Medium levels. These findings imply that project management should prioritize mitigation strategies on aspects of internal design management and anticipation of external weather factors to ensure the smooth running of the project
Estimasi Gerakan Olahraga Push Up Menggunakan Multilayer Perceptron Classifier dan Mediapipe Pose Bimasakti Cahyo Utomo; Awang Harsa Kridalaksana; Muhammad Ibadurrahman Arrasyid Supriyanto; Chalsi Mala Sari; Hidayatul Muttaqien; Muhammad Labib Jundillah; Vina Zahrotun Kamila
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 5 No. 2 (2026): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/atasi.v5i2.5102

Abstract

Olahraga push up sangat diminati masyarakat untuk melatih kekuatan otot lengan dan dada. Penelitian ini bertujuan mengembangkan dan mengevaluasi model berbasis Multilayer Perceptron (MLP) dan MediaPipe Pose untuk mengestimasi teknik gerakan push up. Model memanfaatkan keypoints tubuh manusia yang diekstrak dari dataset gambar, yang diklasifikasikan ke dalam tiga kelas: fase ascend, descend, dan non-pushup. Pengujian model menggunakan confusion matrix dan macro average menunjukkan akurasi sebesar 89,8%, serta nilai recall, precision, dan F1-score masing-masing sebesar 88,8%, 89,7%, dan 89,2%. Selain itu, evaluasi kesesuaian gerakan (form) diuji menggunakan video dari tiga sudut pandang berbeda berdasarkan jumlah poin dan average confidence. Hasilnya menunjukkan performa model paling optimal pada sudut pandang samping dan diagonal dibandingkan sudut depan. Penelitian ini berkontribusi dalam menyediakan model berbasis keypoints untuk mendeteksi form push up secara lebih objektif.
Co-Authors Ardhan Ismail Awang Harsa Kridalaksana Bimasakti Cahyo Utomo Hidayatul Muttaqien Kartika Tristanto Mochamad Gaharu Dida Devedo Muhammad Ibadurrahman Arrasyid Supriyanto Muhammad Labib Jundillah Ridzky Zul Asdi Vina Zahrotun Kamila