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All Journal Jurnal Manajemen Pelayanan Publik Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan YUME : Journal of Management Journal Of Widya Medika Junior PINISI Discretion Review Berdikari : Jurnal Ekonomi dan Statistik Indonesia Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Innovative: Journal Of Social Science Research Journal Of Artificial Intelligence And Software Engineering Jurnal Intelek Dan Cendikiawan Nusantara
Sindrawati, Sindrawati
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Transportation Other

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TEKNIK RESAMPLING UNTUK MENINGKATKAN NILAI AKURASI ALGORITMA RANDOM FOREST PADA DATA PREDIKSI KECACATAN PERANGKAT LUNAK Sindrawati, Sindrawati; Dodi Syaripudin; Abu Walad
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 3 (2024): JUNI - JULI 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Software merupakan perantara terpenting yang dibutuhkan setiap orang untuk menunjang aktivitasnya sehari-hari. Kesalahan perangkat lunak sering kali terjadi dan menjadi kendala, sehingga perlu dilakukan pengujian perangkat lunak untuk mengurangi tingkat kesalahannya, namun proses pengujian kesalahan perangkat lunak memerlukan biaya yang tidak sedikit, untuk meminimalkan biaya pengujian, dilakukan penelitian Data mining diperlukan. untuk memprediksi kesalahan perangkat lunak. Penelitian ini menggunakan 12 kumpulan data arsip NASA yang diklasifikasikan dengan model yang digunakan dalam penelitian ini yaitu model hutan acak yang menggunakan metode resampling filter. Hasil yang diperoleh pada penelitian ini berupa nilai akurasi dan kurva AUC, nilai akurasi tertinggi terdapat pada dataset komputer 2 dengan nilai akurasi sebesar 99,06%, sehingga dapat dikatakan algoritma Random Tree Forest menggunakan teknik Resampling adalah metode yang tepat ketika digunakan untuk mengklasifikasikan kumpulan data perangkat lunak prediksi kegagalan. Arsip NASA.
Developing Employee Integrity through Organizational Culture: A Conceptual Review in the Context of Bribery Prevention Triyani, Triyani; Narimawati, Umi; Sindrawati, Sindrawati; Winanti, Marliana B.
PINISI Discretion Review Volume 9, Issue 1, September 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pdr.v1i1.78030

Abstract

Employee integrity serves as the fundamental pillar for creating an ethical work environment free from bribery practices. Within organizational settings, integrity does not rely solely on formal regulations and control mechanisms; rather, it is profoundly shaped by the strength of organizational culture, which influences employees’ values, norms, and daily behaviors. Organizational culture functions as a key determinant in fostering both individual and collective ethics through a continuous process of value internalization. This article aims to develop a conceptual framework that explains how organizational culture shapes employee integrity as a preventive and sustainable mechanism for bribery prevention. Adopting a qualitative approach through a systematic and thematic literature review of academic sources and policy reports, this study identifies the dimensions of organizational culture that influence the development of integrity. The findings reveal a limited number of studies that explicitly integrate organizational culture, integrity, and bribery prevention within a single analytical framework. Therefore, this article provides a theoretical contribution by highlighting a conceptual gap that has received little attention, as well as a practical contribution for human resource management functions and compliance units in formulating sustainable, value-based anti-bribery cultural strategies.
Co-Authors Abdurrohim, Iim Abu Walad Danika, Andri Dewi, Dewa AL Dina Lesmana Dodi Syaripudin Evi Sofiati Ginanjar Wira Saputra Gumelar, Ikhsan Hanawidjaya, Rd. Ratih Koniah, Koniah Kurniady, Wandy Kurniawati Kurniawati Kusumah, Raden Minda Muslimah, Elis Nia Sumiati Novitayanti, Ni Putu S Pratiwi, Merita Gianti Rahayu, Titien Rezky Afiahtul Barokah Sulistiani, Dewi Sri Suwarno, Panji Triyani Triyani Umi Narimawati Winanti, Marliana B. Zulhazmi, Mohammad Farisan