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Analisis Sentimen Komentar Konsumen Industri Jamu di Media Sosial menggunakan Artificial Neural Network dan K-Nearest Neighbor Kurniawan, Daniel; Purnomo, Hindriyanto Dwi; Iriani, Ade
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp210-223

Abstract

Phytopharmaceutical plants have become one of the main commodities contributing significantly to the economy through their use in the pharmaceutical, cosmetic, and health industries. However, behind this economic potential, traditional herbal medicine businesses often face challenges, particularly in promotion and brand identity. Social media platforms like Instagram have now introduced unique features to support business and marketing, primarily by providing in-depth information about herbal products and offering opportunities for businesses to receive feedback from consumers. Comments on social media are valuable but often unstructured; hence, sentiment analysis is necessary to organize and categorize this data. By combining comment data with information from Google Trends, cause-and-effect relationships from comments during specific periods can be identified using path analysis. This research aims to analyze consumer comments on the Sidomuncul company's Instagram platform, with the hope of benefiting the company and advancing herbal medicine products. The methods used in this study include Artificial Neural Network (ANN) and K-nearest neighbor (KNN) to classify comments into positive, negative, and neutral categories. Both methods show satisfactory results in classification, with an average accuracy of 0.887 for ANN and 0.874 for KNN. However, the ROC curve for the KNN model indicates a relatively low AUC value in classifying negative comments, at 0.598.
Navigating Generational Transitions: Leadership Succession and Sustainability in Family Businesses Kurniawan, Daniel
MES Management Journal Vol. 3 No. 3 (2024): MES Management Journal 
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v3i3.584

Abstract

This study delves into the multifaceted dynamics influencing leadership succession and sustainability in family businesses, focusing on key variables such as intergenerational cooperation, family relationships, intrinsic motivation of successors, the controlling generation, and the presence of good governance. Employing a comprehensive literature review methodology, relevant academic sources were analyzed to construct a conceptual model that synthesizes theoretical and empirical insights. The findings highlight the essential role of strong intergenerational collaboration and robust governance structures in promoting smooth succession and long-term business viability. However, inherent challenges such as generational conflicts and lack of formalized succession plans pose risks to continuity. This study contributes a framework that underscores the importance of balancing familial values with strategic business objectives to sustain family firms across generations.
Pembangunan Pembangunan Sistem Pengelolaan Presensi Mahasiswa Menggunakan .NET Core 5.0 Berbasis Web Kurniawan, Daniel; Sidhi, Thomas Adi Purnomo; Mudjihartono, Paulus
Jurnal Informatika Atma Jogja Vol. 6 No. 2 (2025): Jurnal Informatika Atma Jogja - November
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v6i2.12468

Abstract

Kantor Sistem Informasi Universitas Atma Jaya Yogyakarta merupakan unit pendukung universitas dengan tujuan untuk mendukung tugas manajemen sistem informasi dalam ruang lingkup Universitas Atma Jaya Yogyakarta. Kantor Sistem Informasi memiliki sebuah sistem pengelolaan presensi mahasiswa yang belum terintegrasi dengan MBKM sehingga kurang sesuai dengan tujuan sistem, dan teknologi yang kurang mendukung proses pengembangan di masa depan. Sistem pengelolaan presensi mahasiswa pada penelitian ini diharapkan dapat menyelesaikan masalah tersebut. Hal ini diharapkan dapat memudahkan dosen atau pengguna lain dalam mengakses kegiatan yang berkaitan dengan mahasiswa. Terdapat tiga jalan yang dapat digunakan dalam proses manajemen kehadiran mahasiswa. Jalan tersebut antara lain jenis manipulasi secara manual, berkas Teams, atau Moodle. Fungsi ini diharapkan dapat memudahkan dosen dalam memasukkan kehadiran mahasiswa, terutama dalam pertemuan secara online. Sistem ini juga mendukung manipulasi pertemuan kelas, yang meliputi pertemuan pengganti dan materi pertemuan. Fitur yang disediakan diharapkan dapat memenuhi kebutuhan pengelolaan presensi mahasiswa Universitas Atma Jaya Yogyakarta.   Information Systems Office of Atma Jaya Yogyakarta University is a supporting unit of the university with the sole purpose for assisting and managing numerous other information systems in Atma Jaya Yogyakarta University. The office currently has a student management system that has not yet integrated with MBKM program, therefore it does not align with the system’s intended purpose for the university and lacks foundation or support for future development. The student management system in this study helps to correct said problems. This system aims to help lecturers managing student-related activities. There are three viable ways to record student’s attendance: manual entry, imported attendance file from Microsoft Teams, or attendance file from Moodle. This feature designed to simplify the recording process of student’s attendance especially during online classes. Furthermore, this system could also manage class meetings, which consists of substitute classes and learning materials. The provided functionalities are expected to meet the needs of student’s attendance management at Atma Jaya Yogyakarta University.