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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Techno Nusa Mandiri : Journal of Computing and Information Technology Minda Baharu JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Community Development Journal: Jurnal Pengabdian Masyarakat International Journal on Social Science, Economics and Art Jurnal Sistem Informasi Bisnis (JUNSIBI) Digital Transformation Technology (Digitech) Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research West Science Business and Management West Science Journal Economic and Entrepreneurship West Science Interdisciplinary Studies West Science Interdisciplinary Studies Jurnal MediaTIK Edumaspul: Jurnal Pendidikan
Eri Mardiani
Universitas Nasional
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Sistem Pendukung Keputusan Pada Sistem Penjualan Catur Naga Steelindo Eri Mardiani; Ferdan Akbar Ramadhan
Innovative: Journal Of Social Science Research Vol. 3 No. 3 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i3.2898

Abstract

Pertumbuhan ekonomi dan perkembangan tehnologi dalam dunia usaha mengalami perkembangan sangat pesat ditandai dengan munculnya perusahaan - perusahaan yang berusaha menciptakan produk dan jasa guna memenuhi kebutuhan konsumen. Perkembangan usaha memberikan gambaran bahwa kesejahteraan masyarakat semakin meningkat, sehingga menyebabkan peningkatan daya beli masyarakat. Dari sisi lain, perkembangan mengakibatkan timbulnya persaingan yang semakin ketat. Perusahaan yang awalnya memiliki pangsa pasar cukup besar dan daerah pemasaran yang luas, kini mereka dituntut agar bekerja lebih efisien dan efektif pada saat itu maupun yang akan datang. Karena perkembangan pasar Indonesia yang fluktuatif semakin menuntut perusahaan-perusahaan untuk dapat menciptakan keputusan yang tepat dan cepat. Ketepatan waktu dalam membuat keputusan dan kualitas keputusan yang dihasilkan adalah suatu hal yang sangat penting. Keputusan-keputusan yang baik membutuhkan pertimbangan dan analisis yang baik untuk memastikan agar keputusan yang dipilih merupakan keputusan yang tepat. Keputusan-keputusan ini juga harus dilaksanakan dengan cepat, sehingga dapat menghasilkan keputusan yang efektif.
The Role of Online Education in Encouraging Employee Empowerment in the Digital Era : A Study on E-commerce companies Eri Mardiani; Eva Yuniarti Utami
West Science Business and Management Vol. 1 No. 04 (2023): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v1i04.209

Abstract

In the rapidly evolving landscape of the digital age, employee empowerment within organizations has become a critical success factor. This research explores the role of online education in enhancing employee empowerment, focusing on an e-commerce company operating in Indonesia. A quantitative method approach, and a quantitative survey to collect data from 100 respondents. Findings showed that most participants perceived the online education program to have a positive impact on their empowerment. This perception underscores the value of online education in providing employees with the necessary skills, knowledge and autonomy to thrive in the digital age. This study contributes valuable insights for organizations looking to leverage online education as a means to empower their workforce and navigate the challenges of the digital age.
Market Dynamics and Investor Perceptions After the Acquisition of Shares by GoTo Directors: A Case Study of the Impact of Management Attitudes on Market Sentiment and Stock Performance Eri Mardiani; Maiza Fikri; Atika Atika
West Science Business and Management Vol. 1 No. 04 (2023): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v1i04.213

Abstract

This research explores the intricate relationship between management attitudes, investor perceptions, market sentiment, and stock performance within the context of GoTo directors' share acquisitions. Using a case study approach, interviews with key stakeholders and surveys of retail and institutional investors were conducted to gather primary data. The results reveal a complex interplay of factors: management attitudes driving acquisitions, mixed investor perceptions, short-term market dynamics influenced by behavioral biases, and limited long-term effects on stock performance. These findings emphasize the importance of transparency in corporate governance and the need for communication strategies that address investor concerns. While share acquisitions can generate short-term market reactions, long-term stock performance is influenced by broader economic and industry-specific factors. The study contributes to our understanding of corporate governance and investor relations dynamics and their implications for both investors and corporate leaders.
Innovation Performance Measurement in Entrepreneurial Business: A Comparative Study between Start-ups and More Established Enterprises Eri Mardiani; A.Ratna Sari Dewi; Feliks Anggia Binsar Kristian Panjaitan; Unika Oktaviani Damau
West Science Journal Economic and Entrepreneurship Vol. 1 No. 10 (2023): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v1i10.302

Abstract

Innovation performance measurement is an important aspect of understanding and improving entrepreneurial success, which has implications for economic development, organizational growth, and community welfare. This study uses comprehensive bibliometric analysis to systematically review and analyze the literature on innovation performance measurement in entrepreneurial business. The research covers startups and established companies, aiming to uncover key themes, influential works, and an ever-evolving research landscape in this dynamic field. His methodological approach integrates bibliometric analysis and visualization using VOSviewer, which provides a holistic view of the intellectual structure in the domain. Key findings include the identification of thematic groups, influential authors, and important works, which provide valuable insights for academics, practitioners, and policymakers involved in fostering innovation and entrepreneurship.
Analisis Prediksi Pendapatan Penduduk dengan Metode K-Nearest Neighbor, Decision Tree, Naive Bayes, Ensemble Methods, dan Linear Regression Eri Mardiani; Nur Rahmansyah; Endah Tri Esti Handayani; Sari Ningsih; Deny Hidayatullah; Dhieka Avrilia Lantana; Yuni Latifah; Alica Dwi Fahira; Keysha Belynda Tyva Panggabean; Imelta Natalia Ginting
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4121

Abstract

Data mining bermula dari peningkatan data yang cukup pesat dilihat dari segi volume serta variasi data yang dihasilkan oleh berbagai sumber, dan jumlahnya yang sangat besar, serta kompleksitasnya data hingga pembuatannya yang cepat. Dengan data bisa menghasilkan prediksi yang membantu pemerintah dalam mengambil keputusan dan kebijakan di masa mendatang. Selain itu prediksi dapat membantu pemerintah dalam perencanaan kegiatan yang akan dilakukan untuk mencapai tujuan, karena prediksi ini dapat memberikan output terbaik sehingga diharapkan resiko kesalahan yang disebabkan oleh kesalahan perencanaan dapat ditekan seminimal mungkin. Prediksi biasanya digunakan untuk  menemukan informasi dari sejumlah data yang besar sehingga diperlukan data mining. Data mining dapat digunakan untuk menggali informasi dari data yang besar sehingga didapatkan informasi yang dapat digunakan dalam memprediksi sesuatu. Dalam data mining terdapat banyak teknik dalam pengerjaannya, untuk menemukan pola atau informasi yang tersembunyi diantaranya adalah Klasterisasi (clustering), Regresi (regression), Asosiasi (association), dan Klasifikasi (classification)
Analyzing the Global Visibility and Influence of Social Enterprise Research: A Bibliometric Review of Citation, International Collaboration, and Cross-Cultural Perspectives Eri Mardiani; Waqiah; Siska Jeanete Saununu; Benny Novico Zani
West Science Interdisciplinary Studies Vol. 1 No. 08 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i08.182

Abstract

The literature review highlights the growing research on social enterprises, exploring key concepts such as double bottom line and social impact assessment. While there has been progress, there are still gaps in understanding the global visibility and influence of social enterprise research. This research method fills the gap by using bibliometric analysis as a quantitative research method. The methodology section presents a comprehensive approach to data collection, extraction, and analysis. Relevant databases and sources are identified, and inclusion/exclusion criteria for publication are established. Keywords and search strategies are used to collect data on authorship, year of publication, journal, and number of citations. Bibliometric analysis techniques, including citation analysis and network analysis, are used to analyze data and uncover patterns and trends. The results and discussion sections present the findings of the bibliometric analysis. Citation patterns, influential works, and authors are identified, thus providing insight into the intellectual structure of the field. International collaboration trends and cross-cultural perspectives are analysed, highlighting global research networks and the application of social enterprise concepts across multiple contexts.
Mapping the Landscape of Artificial Intelligence Research: A Bibliometric Approach Eri Mardiani; Muhammad Subhan Iswahyudi
West Science Interdisciplinary Studies Vol. 1 No. 08 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i08.183

Abstract

This research study employs a comprehensive bibliometric approach, enhanced by the utilization of VOS viewer, to map the expansive landscape of artificial intelligence (AI) research. Through the meticulous collection, pre-processing, and analysis of a diverse dataset, this study uncovers the multifaceted dimensions that define AI research. The analysis encompasses publication trends, authorship dynamics, citation patterns, and emergent research themes. The integration of VOS viewer’s visualization capabilities enriches the exploration by offering intuitive representations of collaboration networks, citation maps, and thematic clusters. The results highlight the growth trajectory of AI research, the collaborative networks among researchers and institutions, the influence of seminal works, and the emergence of thematic trends. Moreover, the study contextualizes the findings, discussing their implications for interdisciplinary collaboration, ethical considerations, and the societal impact of AI research. Ultimately, this research contributes to a comprehensive understanding of AI research dynamics, guiding future exploration, collaboration, and innovation within this rapidly evolving domain.
B2B Digital Marketing and ROI Measurement: Challenges and Opportunities in the Business-to-Business Industry for MSMEs in Indonesia Eri Mardiani; Eva Yuniarti Utami; Muhammad Umer Farooq Mujahid
West Science Interdisciplinary Studies Vol. 1 No. 09 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i09.249

Abstract

In order to maintain growth and competitiveness in the modern business environment, digital marketing must be strategically integrated, especially for Micro, Small, and Medium-Sized Enterprises (MSMEs) that conduct business-to-business (B2B) transactions. This study looks into the potential and difficulties that come with B2B digital marketing as well as how to measure return on investment (ROI) for MSMEs in Indonesia. Surveys and in-depth interviews were used in a mixed-methods approach to collect both quantitative and qualitative data. The results show that MSMEs have widely adopted digital marketing tactics, with social media and content marketing being the most popular. There are still issues like tight budgets, hard ROI calculations, and fierce market competition. The report makes actionable suggestions, such as group marketing campaigns, the creation of uniform ROI measurements, and a focus on innovation via emerging technologies and niche targeting. The insights provide practitioners, policymakers, and industry stakeholders with practical advice for improving the knowledge of the dynamics in B2B digital marketing for MSMEs in Indonesia.
Improving Trust and Accountability in AI Systems through Technological Era Advancement for Decision Support in Indonesian Manufacturing Companies Eri Mardiani; Loso Judijanto; Arief Yanto Rukmana
West Science Interdisciplinary Studies Vol. 1 No. 10 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i10.301

Abstract

This study explores how technological developments in Artificial Intelligence (AI) decision support systems within Indonesian manufacturing organizations interact with the intricate dynamics of trust, accountability, and technology. The study employed a cross-sectional quantitative research approach to gather responses from a representative sample of professionals spanning different organizational levels, age groups, and functions. The results show that there is a high degree of trust in AI systems, which is largely impacted by dependability and transparency. Strong perceived accountability frameworks encourage prudent decision-making. Technological developments have a big impact on trust and responsibility, especially in Explainable AI and bias prevention. A nuanced interpretation is ensured by the study's demographic analysis, which provides practitioners and policymakers with practical insights to support ethical AI integration in Indonesia's industrial sector.
Penerapan Algoritma Supervised Learning untuk Klasifikasi Data Music Listening: Application of Supervised Learning Algorithm for Music Listening Data Classification Eri Mardiani; Nur Rahmansyah; Ira Kurniati; Andy Setiawan; Diah Widiastuti; Muhammad Ridwan; Muhammad Zidan Rosyid; Ari Febriansyah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 2 (2023): MALCOM October 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i2.879

Abstract

Perkembangan teknologi informasi semakin pesat hingga saat ini terus dikembangkan teknologi-teknologi terbaru, penggunaan data sebagai pengolahan kini semakin banyak diterapkan pada berbagai bidang, dengan penggunaan data dapat dilakukan perkembangan teknologi yang dapat meningkatkankan kualitas dan efisiensi, pengolahan data dapat diterapkan di semua bidang dan salah satunya adalah di bidang musik. Musik sudah menjadi bagian dari kehidupan manusia sehari-hari. Sudah banyak media-media yang menyajikan berbagai macam lagu dengan genre yang beragam pula mulai dari Pop, Jazz, Rock, R&B, dan genre-genre lainnya. Dengan  menggunakan data mining untuk mengolah data maupun menganalisis data-data musik kita dapat memprediksi keanekaragaman preferensi mendengarkan musik dan dengan menggunakan tools aplikasi Orange Data Mining dapat membantu masyarakat untuk mengetahui musik apa saja yang diminat dengan memprediksi melalui beberapa metode dalam tools orange, dengan Algoritma Naive Bayes memiliki tingkat akurasi yang lebih baik.
Co-Authors . Syamsulbahri A.Ratna Sari Dewi Adi Nugroho Susanto Putro Adisti Suryaningtyas Putri Wirawan Aditya Nur Rohman Adityo Rahman Agung Triayudi Ahmad Rifqi Alfian Muhharam Ali Rahman Alica Dwi Fahira Andika Isma Andy Setiawan Annisa Amalia Fitri Ari Febriansyah Arief Yanto Rukmana Arief Zikry Atika Atika Atira Syakira Azzaleya Agashi Lombu Bagus Hari Sugiharto Benny Novico Zani Budi Tri Utomo Cintia Marito Sihombing Deny Hidayatullah Deta Muliyani Dhieka Avrilia Lantana Diah Widiastuti Dinda Amelia Zanitha Dinda Nurkhaliza Putri Dini Fatihatul Hidayah Dwi Juliastuti Eka Febriyanto Riski Endah Tri Esti Handayani Era Era Hia Eva Yuniarti Utami Eva Yuniarti Utami Fachri Faiq Husain Pratama Fatimah Nur Arifah Fauziah Fauziah Feliks Anggia Binsar Kristian Panjaitan Ferdan Akbar Ramadhan Guing Tri Suhatmojo Ika Agustina ilwandri ilwandri Imelta Natalia Ginting Inayah Romzy Indra Permana Ira Kurniati Ira Kurniati Irma Rahmawati Iskandar Fitri Iskandar Fitri Iwan Riswandi Kelfin Nurfaizi Keysha Belynda Tyva Panggabean Komang Mustika Pramesti Legito . Lidya Cahyani Loso Judijanto Maiza Fikri Matondang, Nurhafifah Mega Ilhamiwati Mila Surahmi Misria Attanggo Moh. Erkamim Mohammad Edy Nurtamam Muhammad Ariel Djamaludin Muhammad Bitrayoga Muhammad Ridwan Muhammad Rizky Perdana Muhammad Romadhoni Rizki Muhammad Subhan Iswahyudi Muhammad Umer Farooq Mujahid Muhammad Zidan Rosyid Nabila Puspita Wulandana Nindi Permata Riau Nofri Yudi Arifin Novi Djafri Nur Rahmansyah Nur Rahmansyah Occe Luciana Prayogo Dwi Cahyo Putro Ratih Tri Lestari Rayhan Mustafa Salestinus Petrus Dhema Sari Ningsih Satriawan Desmana Sepriano Sepriano Septi Andryana Sifonne Adi Wijaya Sisca Budyarti Siska Armawati Sufa Siska Jeanete Saununu Soni Suardi Suharto Suharto Syamsuri Syamsuri Tesalonika Tomi Apra Santosa Trie Widiarti Ningsih Unika Oktaviani Damau Upi Resti Wahyuni Vicky Agnes Arundy Waqiah Yayat Suharyat Yoga Dwi Prasetyo Yunan Fauzi Wijaya Yuni Latifah Yusriana Chusna Fadilah Zakila Cahya Ronika