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Implementasi Budaya Organisasi Tats Dalam Peningkatan Efektivitas Layanan Ujian Negara Amatir Radio Paat, Johny Christofel; Sudarsono, Sudarsono; Muhammad, Ikram
Gorontalo Management Research Vol. 8 No. 2 (2025): Gorontalo Management Research
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/gomares.v8i2.4457

Abstract

This study explores the implementation of the organizational culture “Total Action – Total Solution (TATS)” as an instrument to improve the effectiveness and efficiency of public services, with a focus on the Amateur Radio Examination (UNAR) at Loka Monitor SFR Gorontalo. The study aims to (1) describe the stages and mechanisms of TATS implementation, (2) identify supporting and inhibiting factors in its application, and (3) analyze the relationship between TATS and the improvement of UNAR service performance. Using a qualitative descriptive method, data were collected through interviews, documentation, and observation, and analyzed thematically. The results show that TATS has been internalized by employees and translated into actions emphasizing speed, accuracy, transparency, and accountability. Supporting factors include leadership commitment, digital technology adoption, and teamwork, while challenges remain in terms of limited human resources, network instability, and participants’ digital literacy. The implementation of TATS has proven to increase service quality, particularly in responsiveness, reliability, and user satisfaction. This research contributes to the discourse on public sector organizational culture by demonstrating how cultural values can be institutionalized through regulation and practice to strengthen good governance
SYSTEMATIC LITERATURE REVIEW: BIG DATA DAN ARTIFICIAL NEURAL NETWORKS DALAM KERANGKA STRATEGI DIGITAL MARKETING Sudarsono, Sudarsono
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 10 No. 2 (2022): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v10i2.295

Abstract

Abstrak: Systematic Literature Review: Big Data Dan Artificial Neural Networks Dalam Kerangka Strategi Digital Marketing. Tujuan dari penelitian ini untuk mengetahui dan memahami big data dan artificial neural networks dalam kerangka strategi pemasaran digital. Penelitian ini menggunakan basis desk research dengan metode penelitian yang digunakan adalah systematic literature review. Dengan bantuan aplikasi Pulish or Perish dan VOSviewer data dikumpulkan dari Google Scholar, CrossReff, OpenAlex dan PubMed melalui kata kunci big data, artificial neural networks dan digital marketing sejumlah 168 artikel dari hasil penelusuran dan lolos screening yang dilakukan berdasarkan relevansi topik yang diangkat. Hasil penelitian menunjukkan bahwa adanya data yang terstruktur dan tidak terstruktur dan memungkinkan untuk dijadikan sebegai referensi dalam pengambilan keputusan pembelian secara digital terbagi dalam dua jenis big data yakni big data negatif dan big data positif. Big data tersebut menjadi rujukan bagi pelaku usaha untuk menerapkan artificial neural networks dalam aktifitas pemasaran yang dilakukan. Artificial neural networks memungkinkan bagi pelaku usaha untuk memberikan layanan secara customization pada setiap konsumennya karena dengan adanya artificial neural networks, memungkinkan bagi pelaku usaha untuk mengetahui dan mengidentifikasi serta melakukan penelusuran terhadap aktifitas konsumen di internet. Kata kunci: big data; artificial neural networks; digital marketing Abstract: Systematic Literature Review: Big Data and Artificial Neural Networks Within the Framework of a Digital Marketing Strategy. The purpose of this research is to identify and understand big data and artificial neural networks within the framework of a digital marketing strategy. This study uses a desk research basis with the research method used is a systematic literature review. Using the Pulish or Perish and VOSviewer applications, data was collected from Google Scholar, CrossReff, OpenAlex and PubMed through the keywords big data, artificial neural network and digital marketing, a total of 168 articles from search results and passed the screening which was carried out based on the relevance of the topics raised. The results of the study show that there is structured and unstructured data that allows it to be used as a reference in making digital purchasing decisions divided into two types of big data, namely negative big data and positive big data. The big data is a reference for business actors to implement artificial neural networks in their marketing activities. Artificial neural networks make it possible for business actors to provide customized services to each of their customers because with the presence of artificial neural networks, it allows business actors to identify and identify and track consumer activities on the internet. Keyword: big data; artificial neural networks; digital marketing
Strategi Peningkatan Prestasi Atlit Di Kabupaten Gorontalo Utara arbie, rosnawati; Muhammad, Ikram; Sudarsono, Sudarsono
Gorontalo Management Research Vol. 8 No. 2 (2025): Gorontalo Management Research
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Prestasi atlet merupakan salah satu indikator keberhasilan pembinaan olahraga di daerah. Kabupaten Gorontalo Utara memiliki potensi besar dalam menghasilkan atlet berbakat, namun capaian prestasi pada tingkat regional maupun nasional masih belum optimal. Penelitian ini bertujuan untuk menganalisis strategi yang dapat diterapkan dalam meningkatkan prestasi atlet di Kabupaten Gorontalo Utara. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan teknik pengumpulan data berupa wawancara mendalam, observasi, dan studi dokumentasi terhadap 25 informan yang terdiri atas atlet, pelatih, pengurus KONI, pejabat Dinas Pemuda dan Olahraga, serta tokoh masyarakat.Hasil penelitian menunjukkan bahwa strategi peningkatan prestasi atlet meliputi penguatan sistem pembinaan berjenjang sejak usia dini melalui sekolah dan klub olahraga, peningkatan kapasitas pelatih melalui sertifikasi, workshop, dan studi banding, pemenuhan sarana dan prasarana latihan yang sesuai standar, penyediaan dukungan pembiayaan yang konsisten dari pemerintah daerah, serta pemanfaatan sport science dan teknologi digital untuk monitoring dan evaluasi kinerja atlet. Kendala utama yang dihadapi meliputi keterbatasan anggaran, minimnya fasilitas olahraga yang memadai, lemahnya manajemen organisasi olahraga, dan rendahnya dukungan masyarakat.Strategi yang dinilai efektif dalam penelitian ini adalah kolaborasi lintas sektor antara pemerintah daerah, KONI, lembaga pendidikan, sponsor swasta, serta keluarga atlet. Kesimpulannya, peningkatan prestasi atlet di Kabupaten Gorontalo Utara membutuhkan sinergi berkelanjutan, komitmen politik, serta inovasi dalam sistem pembinaan. Dengan penerapan strategi yang terintegrasi, diharapkan Gorontalo Utara mampu mencetak atlet unggul yang berdaya saing di tingkat nasional maupun internasional.Kata Kunci: Prestasi, Atlet, Kabupaten Gorontalo Utara.
The influence of big data, content marketing, and artificial neural networks on purchase decisions: the moderating role of purchase intentions Sudarsono Sudarsono; Azis Rachman
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 10 No. 4 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020244722

Abstract

This study aims to explore the direct effect of big data variables, content marketing and artificial neural networks on purchase intention variables and purchasing decisions; and 2) the indirect effect of big data variables, content marketing and artificial neural networks on purchasing decisions moderated by purchase interest variables. The method in this study uses a quantitative approach and sampling techniques with simple random sampling, data distributed by google form and offline conducted January - March 2024, a total of 385 data collected. These findings were analyzed with Structural Equation Modeling (SEM) software in the Smart PLS (Partial Least Square) application with indirect and direct. The results showed that directly, big data has a negative but significant effect on purchase intention. Content marketing, directly on purchase intention or purchase decision, has a positive but insignificant effect. And directly, artificial neural networks have a negative but significant effect on purchasing decisions.
The Readiness of Print Media Human Resources in the Digital Transformation Process (A Case Study of Gorontalo Post) Mohamad Caisar Ntoma; Arifin Tahir; Sudarsono
ABM: International Journal of Administration, Business and Management Vol 8 No 1 (2025): June 2025 - November 2025
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v8i1.1671

Abstract

Changes in people's information consumption behavior in today's digital era require print media outlets like Gorontalo Post to begin implementing adaptive work strategies. To support the implementation of these work adaptation strategies, several key elements are needed to make the necessary changes. One of these essential elements is the readiness of human resources (HR) to adapt to technological developments and the work Environment. This research uses a case study Analys and a qualitative approach to analyze Gorontalo Post's HR readiness to implement the digital transformation process, focusing on digital competency, attitudes toward change, and managerial support. Following participant observation, in-depth interviews, and internal document analysis, data were collected and analyzed using a SWOT analysis. The results indicate that Gorontalo Post's HR has the ability to adapt, but they still face obstacles such as limited digital competency, resistance to change, and a weak internal training strategy.