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All Journal Building of Informatics, Technology and Science Management Studies and Entrepreneurship Journal (MSEJ) Community Development Journal: Jurnal Pengabdian Masyarakat Journal Competency of Business Nomico
Nurcahyo, Narwanto
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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The Impact Of Human Resource Information Systems And Artificial Intelligence On Defense Industry Performance Riatmaja, Dodi Setiawan; Sukmaningrum, Dinda; Nurcahyo, Narwanto; Saptyawati, Laksmindra
Nomico Vol. 1 No. 6 (2024): Nomico - July
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/jwt23y16

Abstract

The purpose of this research is to investigate how HRIS and AI have influenced the productivity of the military sector in this era of disruption. This inquiry will use a quantitative approach to its methods. The sample pool consisted of one hundred fifty persons who were employed in the military industry. As the main form of data collecting, we will be sending out questionnaires to all of the participants. A Likert scale is provided in the questionnaire, and it is used to assign ratings to the various pieces of information. In order to do an analysis on the data, structured equation modeling in SmartPLS 3.0 was used. In this research, the variable known as "employee performance" acts as the dependent variable, while the variables known as "HRIS" and "work satisfaction" serve as the independent variables. The significance level that was discovered in the data analysis for this research provides evidence in support of the hypothesis that HRIS has a beneficial effect on productivity in the workplace. The HRIS program will be more precise, exact, and comprehensive to the extent that the employee's performance on work assignments is higher. Improving the defense industry's ability to make intelligent decisions about its human resource allocations by implementing methodical HRIS procedures, such as the collection, storage, maintenance, retrieval, and validation of data. Plans for the strategic use of information technology may have an impact on the future direction of the military industry by modifying both the extent to which human resources are used and the depth to which individuals comprehend the context in which they operate. There is a correlation between the use of artificial intelligence (AI) in the workplace and increased levels of productivity
Analisa Perbandingan Latent Semantic Indexing (LSI) dan Latent Dirichlet Allocation (LDA) untuk Topic Modelling Aplikasi Identitas Kependudukan Digital (IKD) Cahyono, Nuri; Nurcahyo, Narwanto; Restu Agung, Akmal Fauzan
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5970

Abstract

This study aims to analyze and compare two topic modeling methods, Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA), in understanding user reviews of the Digital Population Identity (IKD) Application obtained from the Google Play Store. The main problem addressed is the large number of user reviews with diverse topics that are difficult to categorize manually, necessitating an automated method to identify the main themes in the data. The research process began with scraping 5,000 recent reviews, followed by data preprocessing (Remove Punctuation, Lowercase, and Tokenization) and vectorization using Bag of Words and DOC2BOW. Subsequently, topic modeling was performed using LSI and LDA, and the results were evaluated using the Coherence Score metric. The findings indicated that Latent Dirichlet Allocation (LDA) outperformed LSI, achieving a Coherence Score of 0.4163 compared to LSI's 0.3512, indicating that Latent Dirichlet Allocation (LDA) is more effective in identifying hidden topics within user reviews. Latent Dirichlet Allocation (LDA) is a superior method for topic modeling in IKD application reviews and can assist developers in understanding user needs and issues, thereby enhancing the application's service quality.
ANALISIS PENGARUH RASIO LEVERAGE, AKTIVITAS DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN (Studi Empiris Pada Perusahaan Manufaktur Sektor Industri Dasar Dan Kimia yang Terdaftar di BEI Dalam Kurun Waktu 2018-2020) Kay, Sahyuni; Pamungkas, Leo Dadyo; Nurcahyo, Narwanto
Journal Competency of Business Vol. 6 No. 1 (2022): Journal Competency of Business
Publisher : Program Studi Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47200/jcob.v6i01.1310

Abstract

This study uses a quantitative descriptive approach with a purposive sampling technique for collecting data. This research was conducted using the documentation method using annual financial statement data for companies listed on the Indonesia Stock Exchange in 2018-2020. The results of this study indicate that, (1) leverage (DER) has a negative effect on firm value (PER), this is indicated by a significant value of 0.007 which means it is smaller than = 0.05 with a coefficient value of -3.514. (2) activity (TATO) has no effect on firm value (PER), this is indicated by a significant value of 0.147 which means it is greater than = 0.05 with a coefficient value of 0.508. (3) profitability has a positive effect on firm value (PER), this is indicated by a significant value of 0.043 which is smaller than = 0.05 with a coefficient of 2.908.
PENGARUH GAMIFIKASI DALAM PEMBELAJARAN ONLINE TERHADAP MOTIVASI BELAJAR SISWA Nurcahyo, Narwanto; Riatmaja, Dodi Setiawan; Rizki, Melinda Yusri; Rukhmana, Trisna; Ikhlas, Al; Wahyuni, Loria; Hastin, Mira
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.46555

Abstract

Perkembangan teknologi digital telah membawa perubahan signifikan dalam metode pembelajaran, khususnya pembelajaran online. Gamifikasi, yaitu penerapan elemen-elemen permainan seperti poin, badge, leaderboard, dan tantangan, menjadi salah satu inovasi yang dapat meningkatkan motivasi belajar siswa. Penelitian pengabdian masyarakat ini bertujuan untuk menganalisis pengaruh gamifikasi dalam pembelajaran online terhadap motivasi belajar siswa. Metode yang digunakan adalah quasi-experiment dengan desain pretest-posttest nonequivalent control group. Sampel terdiri dari siswa SMP/SMA yang terbagi dalam kelompok eksperimen yang menggunakan gamifikasi dan kelompok kontrol yang menggunakan pembelajaran online konvensional. Data motivasi belajar dikumpulkan melalui kuesioner skala Likert dan dianalisis menggunakan uji statistik Independent Samples t-test. Hasil penelitian menunjukkan peningkatan motivasi belajar yang signifikan pada kelompok yang menggunakan gamifikasi dibandingkan kelompok kontrol. Peningkatan tersebut terlihat dari aspek motivasi intrinsik maupun ekstrinsik siswa. Selain itu, respon positif dari siswa terhadap elemen gamifikasi memperkuat efektivitas metode ini dalam pembelajaran daring. Temuan ini memberikan rekomendasi bagi pendidik dan pengembang platform e-learning untuk mengintegrasikan gamifikasi dalam strategi pembelajaran guna meningkatkan keterlibatan dan hasil belajar siswa secara optimal.
Peminjaman Digital: Peran Rasionalitas, Pengalaman, Dan Niat Perilaku Dalam Re-Apply P2P Lending Di Yogyakarta Sukmaningrum, Dinda; Riatmaja, Dodi Setiawan; Nurcahyo, Narwanto; Nurhayanto, Nurhayanto
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 5 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i5.9270

Abstract

This study examines the impact of rationality and experience on users' decision to reapply for a digital peer-to-peer (P2P) loan, with behavioral intention as an intermediary factor, in the context of Yogyakarta, Indonesia. As the popularity of digital lending platforms increases, understanding the behavioral factors behind loan reapplication decisions is crucial. This study uses quantitative methods with Structural Equation Models (SEM), with data collected from active P2P users who have previously reapplied for a loan. Findings show that both rationality and experience significantly affect behavioral intention rates, which in turn affect reapplication behavior. Behavioral intention plays a crucial mediating role, linking cognitive and experiential factors to the decision to reapply for a loan. These results highlight the importance of cognitive evaluation and experiential memory in shaping financial behavior in the digital context, providing insights for financial technology providers, regulators, and educators.
Co-Authors Al Ikhlas, Al Ikhlas Kay, Sahyuni Loria Wahyuni, Loria Melinda Yusri Rizki Mira Hastin Nurhayanto, Nurhayanto Nuri Cahyono Pamungkas, Leo Dadyo Restu Agung, Akmal Fauzan Riatmaja, Dodi Setiawan Rukhmana, Trisna Saptyawati, Laksmindra Sukmaningrum, Dinda