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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Multidisiplin West Science The Eastasouth Journal of Information System and Computer 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.
The Impact of Scalability and Consistency Management on Database Management System Performance in Big Data Environment in Indonesia Mardiani, Eri; Sriyeni, Yesi; Sitorus, Astrid Napita; Muthmainah, Hanifah Nurul
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.181

Abstract

The swift expansion of technology start-up enterprises in Indonesia demands a deep comprehension of the variables impacting the functionality of Big Data Environments (BDE) and Database Management Systems (DMS). In the context of Indonesian start-ups, this study examines the effects of scalability and consistency management on DMS and BDE. Data from 134 participants were examined using Structural Equation Modeling (SEM-PLS) in a quantitative manner. The findings showed a strong favorable correlation between DMS -> BDE, Scalability -> DMS, and Consistency Management -> DMS. Strong reliability was exhibited by the measurement model, and discriminant validity was verified. While the model fit indices revealed places for improvement, the R Square values indicated an effective explanation of variation. An overview of Indonesian start-up characteristics that is representative was given by the demographic sample study. This research adds knowledge for improving big data and database operations in the dynamic startup environment.
The Influence of Data Quality and Machine Learning Algorithms on AI Prediction Performance in Business Analysis in Indonesia Judijanto, Loso; Muda Priyangan, Donny; Muthmainah, Hanifah Nurul; Jata, I Wayan
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.182

Abstract

This research investigates the intricate relationships among AI prediction performance, business analysis, data quality, and machine learning algorithms within the manufacturing sector in Indonesia. Through structural equation modeling analysis, the study explores the impact of these variables on one another, shedding light on the dynamics that contribute to successful AI adoption and business decision-making. The findings underscore the pivotal role of data quality in influencing AI prediction performance and machine learning algorithms, ultimately shaping the effectiveness of business analysis. The results provide practical insights for manufacturing companies seeking to optimize their data management practices and harness the potential of advanced technologies for strategic decision-making.
The Role of Digital Technology in Realizing the Sustainable Development Goals (SDGs) Soelistianto, Farida Arinie; Muthmainah, Hanifah Nurul
West Science Information System and Technology Vol. 3 No. 03 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i03.2553

Abstract

Digital technology has increasingly become a strategic instrument in accelerating the achievement of the Sustainable Development Goals (SDGs), particularly in developing countries such as Indonesia. This study aims to examine the role of digital technology in supporting the achievement of SDGs in Indonesia using a quantitative research approach. Data were collected from 85 respondents through a structured questionnaire measured using a Likert scale. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 25, employing descriptive statistics, validity and reliability testing, and simple linear regression analysis. The results indicate that digital technology has a positive and statistically significant effect on SDG achievement, with digital technology explaining 50.7% of the variance in sustainable development outcomes. These findings suggest that increased utilization of digital platforms and systems contributes to improved economic efficiency, social inclusion, and sustainable development practices. This study provides empirical evidence on the importance of digital transformation in achieving SDGs and offers practical insights for policymakers and stakeholders to strengthen digital-based development strategies in Indonesia
Co-Authors Agstriningtyas, Alvionitha Sari Andi Muh Akbar Saputra Arnes Yuli Vandika Fauzi Fauzi Febrian, Wenny Desty Fildansyah, Rully Hakim, Nur Hamzali, Said Hidayat, Deddy Jata, I Wayan Judijanto, Loso Mardiani, Eri Mayasari, Nanny Mislan Sihite, Mislan Moh. Erkamim Mohammad, Wily Muda Priyangan, Donny Muhammad Hazmi Nabilah, Annisa Nurul Nanjar, Agi Purnamasari, Etika Rifky Lana Rahardian Saputri, Dwi Yuniasih Sitorus, Astrid Napita Soelistianto, Farida Arinie Sri Widiastuti, Sri Sriyeni, Yesi Sudarmanto, Eko Syam Gunawan