Drivers and Barriers to IT Service Management Adoption in Indonesian Start-up Based on the Diffusion of Innovation Theory

Sipahutar, Rini Juliana; Hidayanto, Achmad Nizar; Solikin,; Rahardja, Untung; Phusavat, Kongkiti

doi:10.1109/icic50835.2020.9288556

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…Sebesar 86,3% dari kematian tersebut penyebabnya adalah penyakit yang berhubungan dengan pekerjaan, sementara sisanya (13,7%) karena kecelakaan akibat kerja (Pramodini, 2018) [17]. Berdasarkan analisis yang dilakukan oleh United State Bureau of Labor Statistic (U.S BLS), di tahun 2015, terdapat 4.836 kasus kecelakaan fatal [18]. Kejadian ini mengalami tren peningkatan, hingga di tahun 2017 terdapat 5.147 kasus kecelakaan kerja di bidang konstruksi (U.S Bureau of Labor Statistic, 2017) [19].…”

Section: Pendahuluanunclassified

Faktor-Faktor Yang Berhubungan Dengan Tindakan Tidak Aman (Unsafe Action) Pada Pekerja Di Pt. X Jakarta Tahun 2021

Roosmiati,

Wijayanti,

Nalahudin

et al. 2024

TMJ

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Tindakan tidak aman adalah suatu kegagalan (human failure) dalam mengikuti persyaratan dan prosedur kerja yang benar, sehingga berdampak terjadinya kecelakaan kerja. Terdapat faktor internal dan eksternal yang mempengaruhi terbentuknya perilaku. Faktor internal seperti motivasi dan persepsi, serta faktor eksternal seperti pengawasan, ketersediaan APD, komunikasi, peraturan, dan pelatihan K3. Kecelakaan kerja sektor industri paling banyak disebabkan oleh tindakan tidak aman dari manusia dengan persentase sebesar 88%. Penelitian ini bertujuan mengetahui faktor-faktor yang berhubungan dengan tindakan tidak aman pekerja. Jenis penelitian adalah kuantitatif dengan metode observasional yang bersifat analitik dengan pendekatan cross sectional. Sampel sebanyak 95 pekerja. Analisis data yang dilakukan adalah analisis univariat dan analisis bivariat dengan menggunakan uji chi-square. Hasil penelitian ini adalah sebanyak 48,4% pekerja berisiko tinggi melakukan tindakan tidak aman dan sisanya berisiko rendah melakukan tindakan tidak aman (51,6%). Tidak terdapat hubungan antara motivasi (p=1,000) dan komunikasi (p=0,316) dengan tindakan tidak aman dan terdapat hubungan antara persepsi (p=0,000), pengawasan (p=0,000), ketersediaan APD (p=0,000), peraturan (p=0,027), dan pelatihan K3 (p=0,000) dengan tindakan tidak aman pada pekerja di PT. X Jakarta tahun 2021.

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Section: Pendahuluanunclassified

Faktor-Faktor Yang Berhubungan Dengan Tindakan Tidak Aman (Unsafe Action) Pada Pekerja Di Pt. X Jakarta Tahun 2021

Roosmiati,

Wijayanti,

Nalahudin

et al. 2024

TMJ

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“…In the meanwhile, communication was considered as a process in which members generated and exchanged information with one another to enhance the similar understanding or knowledge [ 27 ]. As such, the diffusion of innovation was referred to a type of social process to communicate innovation through a variety of media in a certain period between all the members within a social system [ 28 ]. In this study, DC was pondered to be such innovation whilst SAE was deemed as a channel or a system through which that innovation was being diffused.…”

Section: Literature Reviewmentioning

confidence: 99%

Unfolding sustainable auditing ecosystem formation path through digitalization transformation: How digital intelligence of accountant fosters the digitalization capabilities

Huy¹,

Phuc²

2023

Heliyon

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“…Furthermore, the objective of Carmona et al (2019) was to anticipate bank failure in the United States financial system (Mahardika & Irawan, 2022). Expanded Gradient Boosting was used for empirical analysis (Sipahutar et al, 2020). This method evolved from previous boosting methods such as AdaBoost and boosted classification trees (Widiastuti et al, 2023).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Ensemble learning with imbalanced data handling in the early detection of capital markets

Mukhlashin,

Fitrianto,

Soleh

et al. 2023

JAI

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Research aims: This study aims to create an early detection model to predict events in the Indonesian capital market.Design/Methodology/Approach: A quantitative study comparing ensemble learning models with imbalanced data handling detected early capital market events. This study used five ensemble learning models—Random Forest, ExtraTrees, CatBoost, XGBoost, and LightGBM—to detect early events in the Indonesian capital market by handling imbalanced data, such as under sampling (RUS), oversampling (SMOTE, SMOTE-Broder, ADASYN), and over-under sampling (SMOTE-Tomek, SMOTE-ENN), weighted (class weight). Global and regional stock markets, commodities, exchange rates, technical indicators, sectoral indices, JCI leaders, MSCI, net buys of foreign stocks, national securities, and national share ownership all predicted the lowest return of Crisis Management Protocol (CMP) binary responses.Research findings: Hyperparameters and thresholds were tuned to produce the optimum model. The best model had the highest G-mean. ExtraTrees with SMOTE-ENN predicted the highest number of one-day events, with a G-Mean of 96.88%. LightGBM with SMOTE handling best predicted five-day events with an 89.21% G-Mean. With a G-Mean of 89.49%, CatBoost with SMOTE-Border handling was the best for a 15-day event. In addition, LightGBM with SMOTE-Tomek handling and 68.02% G-Mean was best for 30-day events. Further, performance evaluation scores decreased with increased prediction time.Theoretical contribution/Originality: This work relates more imbalance handling methods and ensemble learning to capital market early detection cases.Practitioner/Policy implication: Capital markets can indicate economic stability. Maintaining capital market efficacy and economic value requires a system to detect pressure.Research limitation/Implication: This study used ensemble learning models to predict capital market events 1, 5, 15, and 30 days ahead, assuming Indonesian working days. The model's forecast results are expected to be utilized to monitor the capital market and take precautions.

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Drivers and Barriers to IT Service Management Adoption in Indonesian Start-up Based on the Diffusion of Innovation Theory

Cited by 10 publications

References 17 publications

Faktor-Faktor Yang Berhubungan Dengan Tindakan Tidak Aman (Unsafe Action) Pada Pekerja Di Pt. X Jakarta Tahun 2021

Faktor-Faktor Yang Berhubungan Dengan Tindakan Tidak Aman (Unsafe Action) Pada Pekerja Di Pt. X Jakarta Tahun 2021

Unfolding sustainable auditing ecosystem formation path through digitalization transformation: How digital intelligence of accountant fosters the digitalization capabilities

Ensemble learning with imbalanced data handling in the early detection of capital markets

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