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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Multidisiplin West Science Science Information System and Technology West Science Nature and Technology
Muthmainah, Hanifah Nurul
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Computer Science & IT Economics, Econometrics & Finance Education Energy Languange, Linguistic, Communication & Media Social Sciences Other

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Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant Hakim, Nur; Hazmi, Muhammad; Gunawan, Syam; Vandika, Arnes Yuli; Muthmainah, Hanifah Nurul
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1296

Abstract

This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.
Pengaruh Implementasi IoT, Sistem Manajemen Aset, dan Analisis Data terhadap Efisiensi Operasional pada Perusahaan Start-up di Jakarta Nanjar, Agi; Hamzali, Said; Muthmainah, Hanifah Nurul; Sihite, Mislan; Sudarmanto, Eko
Jurnal Multidisiplin West Science Vol 3 No 06 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i06.1345

Abstract

Penelitian ini menyelidiki dampak dari implementasi IoT, sistem manajemen aset, dan analitik data terhadap efisiensi operasional dalam perusahaan start-up di Jakarta. Dengan menggunakan Structural Equation Modeling (SEM-PLS), penelitian ini meneliti bagaimana praktik teknologi dan manajerial ini mempengaruhi kinerja bisnis. Temuan menunjukkan hubungan positif yang signifikan antara implementasi IoT, sistem manajemen aset, analisis data, dan efisiensi operasional. Validasi model pengukuran menegaskan keandalan dan validitas konstruk. Implikasi praktis menyoroti pentingnya integrasi teknologi secara strategis untuk mengoptimalkan operasi dan mendapatkan keunggulan kompetitif dalam ekosistem start-up.
Pengaruh Pengembangan Aplikasi Mobile, Internet of Things (IoT), dan Kualitas Sistem terhadap Kepuasan Pengguna pada Industri Manufaktur di Jakarta Fildansyah, Rully; Muthmainah, Hanifah Nurul; Hidayat, Deddy
Jurnal Multidisiplin West Science Vol 3 No 08 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i08.1582

Abstract

Penelitian ini menyelidiki dampak dari pengembangan aplikasi mobile, integrasi Internet of Things (IoT), dan kualitas sistem terhadap kepuasan pengguna dalam industri manufaktur di Jakarta. Pendekatan penelitian kuantitatif digunakan, dengan mengumpulkan data dari 80 responden melalui kuesioner terstruktur yang menggunakan skala Likert mulai dari 1 hingga 5. Analisis data yang dilakukan dengan menggunakan SPSS versi 26 menunjukkan bahwa semua hipotesis yang diajukan positif dan signifikan secara statistik. Temuan ini menunjukkan bahwa kemajuan dalam pengembangan aplikasi mobile, adopsi teknologi IoT, dan peningkatan kualitas sistem secara signifikan berkontribusi terhadap peningkatan kepuasan pengguna. Di antara faktor-faktor tersebut, kualitas sistem muncul sebagai prediktor terkuat untuk kepuasan, diikuti oleh pengembangan aplikasi mobile dan integrasi IoT. Studi ini menggarisbawahi pentingnya inovasi teknologi dan keandalan sistem dalam mencapai kepuasan pengguna di sektor manufaktur di Jakarta, serta memberikan wawasan yang berharga bagi para praktisi industri dan pembuat kebijakan.
Artificial Intelligence dan Big Data: Analisis Bibliometrik terhadap Inovasi Teknologi dan Tantangan Penelitian Judijanto, Loso; Mayasari, Nanny; Widiastuti, Sri; Saputri, Dwi Yuniasih; Muthmainah, Hanifah Nurul
Jurnal Multidisiplin West Science Vol 3 No 09 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i09.1606

Abstract

Penelitian ini melakukan analisis bibliometrik untuk mengeksplorasi evolusi dan hubungan antardisiplin dalam penelitian Artificial Intelligence (AI) menggunakan VOSviewer. Hasil studi mengungkapkan bahwa AI telah berintegrasi secara luas dalam berbagai sektor, termasuk kesehatan, keuangan, dan pengembangan kota cerdas, menunjukkan dampak transformasionalnya di berbagai bidang. Analisis ini juga menyoroti pentingnya data science dan cloud computing dalam mendukung kapabilitas AI serta menekankan isu keamanan, privasi, dan etika sebagai pertimbangan penting dalam pengembangan AI. Selanjutnya, temuan menunjukkan kebutuhan kolaborasi interdisipliner untuk mengatasi tantangan kompleks yang dihadapi dalam penerapan AI. Studi ini memberikan panduan yang berguna untuk pengembangan kebijakan dan strategi yang dapat memanfaatkan potensi AI sambil mengatasi risiko yang terkait.
EVALUASI PENGGUNAAN TEKNOLOGI BIG DATA UNTUK ANALISIS DATA BISNIS DAN PENGAMBILAN KEPUTUSAN Fauzi, Fauzi; Saputra, Andi Muh Akbar; Agstriningtyas, Alvionitha Sari; Febrian, Wenny Desty; Nabilah, Annisa Nurul; Muthmainah, Hanifah Nurul
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 1 (2024): Volume 7 No 1 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i1.25989

Abstract

Penelitian ini mengevaluasi penggunaan teknologi Big Data dalam konteks analisis data bisnis dan pengambilan keputusan. Dengan menggali literatur-literatur terkait, penelitian ini menyoroti kontribusi positif teknologi Big Data terhadap efisiensi operasional dan pengembangan strategi bisnis. Analisis mendalam dilakukan untuk mengidentifikasi keunggulan teknologi Big Data, kendala implementasinya, serta dampaknya pada pengambilan keputusan strategis. Hasil penelitian menunjukkan bahwa teknologi Big Data membuka peluang baru dalam memahami perilaku pelanggan, meramalkan tren pasar, dan meningkatkan responsivitas terhadap perubahan lingkungan bisnis.
Analysis of Reliability, Transaction Speed, and User Experience on Information System Integration in E-commerce Business in Indonesia Judijanto, Loso; Mohammad, Wily; Purnamasari, Etika; Muthmainah, Hanifah Nurul
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.478

Abstract

This research investigates the dynamics of information system integration in the context of e-commerce businesses in Indonesia, focusing on the critical factors of reliability, transaction speed, and user experience. Employing a quantitative approach, the study utilizes Structural Equation Modeling with Partial Least Squares (SEM-PLS) to analyze data from a sample of 175 participants. The measurement model assessment reveals robust factor loadings and reliability measures, establishing the foundation for further analysis. Discriminant validity analysis highlights the distinctiveness of the constructs, though attention to refining measurement items for user experience is recommended. The model fit assessment indicates that the proposed structural model aligns well with the observed data. The structural model analysis uncovers significant positive relationships between reliability, transaction speed, user experience, and information system integration. Furthermore, the R-Square values underscore the substantial impact of these factors, explaining approximately 60.2% of the variance in information system integration. The findings provide valuable insights for businesses and policymakers, emphasizing the need to prioritize reliability, transaction speed, and user experience to enhance information system integration in Indonesian e-commerce.
Analysis of Threat Detection, Prevention Strategies, and Cyber Risk Management for Computer Network Security in Government Information Systems in Indonesia Judijanto, Loso; Rahardian, Rifky Lana; Muthmainah, Hanifah Nurul; Erkamim, Moh.
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.479

Abstract

This research investigates the landscape of threat detection, prevention strategies, and cyber risk management within Government Information Systems in Indonesia. A quantitative approach, employing Structural Equation Modeling - Partial Least Squares (SEM-PLS), was utilized to analyze data collected from 150 participants across diverse government institutions. The study assessed perceived cyber threats, the effectiveness of threat detection mechanisms, prevention strategy implementation, and cyber risk management practices. Findings revealed significant regional variations in threat perception and underscored the importance of both technological and human-centric approaches. The Structural Equation Model demonstrated satisfactory fit, with notable path coefficients indicating strong relationships among latent variables. The study contributes valuable insights to cybersecurity practices in the Indonesian government sector, informing policymakers and practitioners on strategies to enhance network security resilience.
Co-Authors Agstriningtyas, Alvionitha Sari Arnes Yuli Vandika Fauzi Fauzi Febrian, Wenny Desty Fildansyah, Rully Hakim, Nur Hamzali, Said Hidayat, Deddy Judijanto, Loso Mayasari, Nanny Mislan Sihite, Mislan Moh. Erkamim Mohammad, Wily Muhammad Hazmi Nabilah, Annisa Nurul Nanjar, Agi Purnamasari, Etika Rifky Lana Rahardian Saputra, Andi Muh Akbar Saputri, Dwi Yuniasih Sri Widiastuti, Sri Sudarmanto, Eko Syam Gunawan