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All Journal Jurnal Scientia Jurnal Multidisiplin West Science West Science Interdisciplinary Studies The Eastasouth Journal of Information System and Computer Science Science Information System and Technology West Science Nature and Technology
Hanifah Nurul Muthmainah
Universitas Siber Muhammadiyah
Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Mathematics Social Sciences

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Pemanfaatan Teknologi Informasi dalam Optimalisasi Produksi Tanaman Pangan: Studi Bibliometrik Skala Nasional Muh Aniar Hari Swasono; Dianta Mustofa K.; Hanifah Nurul Muthmainah
Jurnal Multidisiplin West Science Vol 2 No 08 (2023): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v2i08.589

Abstract

Integrasi teknologi informasi (TI) ke dalam produksi tanaman telah muncul sebagai pendekatan transformatif untuk meningkatkan produktivitas pertanian, efisiensi sumber daya dan keberlanjutan. Analisis bibliometrik ini mengeksplorasi lanskap penelitian yang berkembang di bidang ini, dengan fokus pada pemanfaatan TI untuk mengoptimalkan produksi tanaman. Analisis ini mencakup tren publikasi, penulis berpengaruh, jaringan penulisan bersama, pola kutipan, dan tema yang muncul. Hasilnya menunjukkan peningkatan yang stabil dalam aktivitas penelitian, yang menyoroti meningkatnya pengakuan potensi TI dalam mengatasi tantangan ketahanan pangan global. Penulis terkemuka dan kolaborasi interdisipliner menggarisbawahi sifat multifaset lapangan. Makalah utama menjelaskan pentingnya konsep seperti Internet of Things, manajemen rantai pasokan, dan pembangunan berkelanjutan. Munculnya kata kunci seperti "pertanian presisi", "data besar" dan "ekonomi sirkular" menandakan eksplorasi pendekatan inovatif untuk meningkatkan praktik pengelolaan tanaman. Analisis ini menawarkan wawasan bagi para peneliti, pembuat kebijakan, dan praktisi. Temuan ini menjelaskan arah penelitian utama dan area di mana TI dapat mendorong dampak positif, mulai dari optimalisasi sumber daya hingga pengurangan limbah. Selain itu, penelitian ini mengidentifikasi kesenjangan dan tren yang muncul, memandu pengembangan strategi untuk memanfaatkan potensi TI dalam optimalisasi produksi tanaman.
Penerapan Teknologi Mesin Pembelajaran Dalam Sistem Manufaktur: Kajian Bibliometrik Supriandi Supriandi; Hanifah Nurul Muthmainah
Jurnal Multidisiplin West Science Vol 2 No 09 (2023): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v2i09.670

Abstract

Studi bibliometrik ini menyajikan analisis komprehensif tentang penerapan teknologi pembelajaran mesin dalam sistem manufaktur. Dengan memanfaatkan teknik bibliometrik, kami memeriksa beragam publikasi akademis dari basis data terkemuka untuk mengungkap tren utama, penulis yang berpengaruh, dan tema penelitian yang sedang berkembang di bidang interdisipliner ini. Analisis kami menunjukkan pertumbuhan yang konsisten dalam hasil penelitian selama tiga dekade terakhir, yang menandakan semakin pentingnya pembelajaran mesin di bidang manufaktur. Secara khusus, istilah yang paling sering muncul adalah "industri", "sistem manufaktur", dan "sistem produksi", yang menggarisbawahi pengaruh besar pembelajaran mesin pada berbagai aspek manufaktur. Penulis dan kelompok penelitian yang berpengaruh diidentifikasi, menjelaskan jaringan kolaboratif yang mendorong inovasi dalam domain ini. Publikasi yang paling banyak dikutip, "Business Intelligence and Analytics: Dari Big Data ke Big Impact," menekankan potensi transformatif analitik dalam pengambilan keputusan dalam sistem manufaktur. Selain itu, kami juga mengeksplorasi arah penelitian yang sedang berkembang, seperti keberlanjutan, transformasi digital, dan aplikasi pertanian, yang mencerminkan sifat dinamis dari bidang ini. Istilah-istilah seperti "keberlanjutan" dan "transformasi digital" mengindikasikan tumbuhnya kesadaran akan pertimbangan lingkungan dan teknologi.
VISUALIZATION AND ANALYSIS OF DATA ON ILLITERATE POPULATION IN INDONESIAN PROVINCES USING GOOGLE DATA STUDIO Tobias Duha; Hanifah Nurul Muthmainah; Gentur Wahyu Nyipto Wibowo; Susatyo Adhi Pramono; Rizki Dewantara
Jurnal Scientia Vol. 12 No. 04 (2023): Education, Sosial science and Planning technique, 2023, Edition September-Nov
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v12i04.1943

Abstract

This study examines the percentage of illiterate individuals in 34 Indonesian provinces in 2022. This data is analyzed by segregating the percentage of the illiterate population by age, specifically 15 years, 15-44 years, and 45 years and older. The analysis begins by examining the percentage of 15-year-olds who are illiterate. Significant disparities exist between provinces, with Papua province having the highest percentage (18.81%) and North Sulawesi province having the lowest percentage (0.19%). Visualization of the data as tables and maps plainly demonstrates this distinction. Next, the analysis examined the percentage of the 15-44-year-old population that was illiterate. Papua province has the greatest percentage, at 15.06%, while North Sulawesi and Riau provinces have the lowest percentage, at 0.07% each. This comparison is also clarified by means of data visualization. Finally, data regarding the percentage of illiterate individuals aged 45 and older were analyzed. Again, the province of Papua has the highest percentage at 28.35%, while the province of North Sulawesi has the lowest percentage at 0.34%. In addition to tables and maps, the results of this analysis are also presented in tabular format. This data provides a clear picture of the level of illiteracy in various Indonesian provinces in 2022, and the results can be used to devise more effective education programs and more targeted solutions to combat illiteracy in Indonesia.
Strategi Pengurangan Sampah Makanan Menggunakan Analisis Data dan Teknologi Aditya Djaini; Andi Haslinah; Hanifah Nurul Muthmainah
Jurnal Multidisiplin West Science Vol 2 No 10 (2023): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v2i10.701

Abstract

Sampah makanan adalah masalah global utama yang berdampak pada ekonomi, lingkungan, dan masyarakat. Pendekatan inovatif diperlukan untuk mengatasi masalah ini, dan menggabungkan teknologi dan analisis data telah terbukti menjadi salah satu pendekatan yang tepat. Untuk menyelidiki lingkungan penelitian seputar inisiatif pengurangan sampah makanan dan hubungannya dengan teknologi dan analisis data, penelitian ini melakukan analisis bibliometrik. Kepenulisan bersama, kemunculan bersama kata kunci, dan jaringan kutipan bersama semuanya dianalisis, memperlihatkan kelompok penelitian dan area tematik yang penting. Dengan kelompok-kelompok yang mencakup pendekatan berbasis data untuk ketahanan pangan, kebijakan kota pintar, blockchain dan rantai pasokan makanan, pengolahan limbah organik, dan peran kecerdasan buatan dalam kelestarian lingkungan, hasilnya menyoroti sifat multidisiplin penelitian di bidang ini. Selain itu, analisis kejadian jangka panjang mengakui pengaturan lingkungan dan perkotaan yang lebih besar sambil menyoroti peran penting yang dimainkan oleh sampah, pengelolaan limbah, dan rantai pasokan makanan. Hasil penelitian ini menawarkan perspektif yang berharga bagi para akademisi dan pengambil keputusan, menyoroti pentingnya kerja sama multidisiplin, pendekatan berbasis data, dan penekanan pada aspek perkotaan dan lingkungan dalam mengatasi masalah rumit limbah makanan. Jalan studi yang prospektif mencakup melakukan evaluasi konten yang komprehensif, menyelidiki publikasi non-Inggris, dan mendorong solusi berbasis teknologi.
Mengoptimalkan Jaringan Sensor Nirkabel dalam Aplikasi Monitor Lingkungan dengan Teknologi IoT di Indonesia Zunan Setiawan; Abrar Hiswara; Hanifah Nurul Muthmainah
Jurnal Multidisiplin West Science Vol 2 No 10 (2023): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v2i10.704

Abstract

Integrasi teknologi Internet of Things (IoT) dengan jaringan sensor nirkabel (WSN) telah mengantarkan era baru dalam pemantauan lingkungan dan pengumpulan data. Di Indonesia, negara yang kaya akan keanekaragaman ekologi dan tantangan lingkungan, penerapan teknologi IoT untuk mengoptimalkan WSN untuk pemantauan lingkungan menjadi sangat penting. Penelitian ini mengeksplorasi kondisi pemantauan lingkungan saat ini di Indonesia, mengidentifikasi tantangan dan peluang, dan mengevaluasi aspek teknis dari optimalisasi WSN. Survei dan wawancara mendalam dengan para pemangku kepentingan mengungkapkan terbatasnya adopsi IoT, tantangan infrastruktur, dan kekhawatiran mengenai privasi dan keamanan data. Evaluasi teknis penyebaran node sensor menunjukkan tantangan dalam efisiensi transmisi data dan konsumsi daya. Studi kasus menggambarkan tantangan kontekstual dan solusi inovatif dalam pengaturan lingkungan yang beragam. Untuk mengatasi masalah-masalah ini, rekomendasi yang diberikan termasuk mempromosikan adopsi IoT, standarisasi, peningkatan infrastruktur, keamanan data, efisiensi energi, inisiatif kolaboratif, dan pemantauan berkelanjutan. Rekomendasi-rekomendasi ini bertujuan untuk mendorong Indonesia menuju infrastruktur pemantauan lingkungan yang lebih efisien dan berkelanjutan, serta memastikan kelestarian ekosistem dan sumber dayanya yang unik.
Analysis of Reliability, Transaction Speed, and User Experience on Information System Integration in E-commerce Business in Indonesia Loso Judijanto; Wily Mohammad; Etika Purnamasari; Hanifah Nurul Muthmainah
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 Loso Judijanto; Rifky Lana Rahardian; Hanifah Nurul Muthmainah; Moh. Erkamim
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.
Implementation of Edge Computing IoT-based Database Management System for Renewable Energy Management in Indonesia Widyatmoko Widyatmoko; Salfin Salfin; Nanny Mayasari; Hanifah Nurul Muthmainah
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.v1i02.480

Abstract

The implementation of an IoT Smart Computing-based Database Management System (DBMS) for renewable energy management in Indonesia represents a pivotal step toward sustainable energy practices. This research conducted a comprehensive analysis using both descriptive and inferential statistics based on data collected from 100 renewable energy sources. The results revealed a mean energy production of 500 kWh, coupled with a high mean reliability index of 0.92, indicating a stable and consistent energy supply. Regression analysis highlighted a positive correlation between sunlight exposure and energy production, emphasizing the need for adaptive strategies in harnessing varying climatic conditions. Hypothesis testing confirmed the significant improvement in energy management metrics compared to traditional systems (p < 0.001). The findings provide valuable insights for optimizing renewable energy utilization and offer practical recommendations for stakeholders involved in Indonesia's renewable energy landscape.
Implementation of Internet of Things (IoT) Technology in Air Pollution Monitoring in Jakarta: Quantitative Analysis of the Influence of Air Quality Change and Its Impact on Public Health in Jakarta Arief Budi Pratomo; Hanifah Nurul Muthmainah; Natal Kristiono; Gogor Christmass Setyawan
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.225

Abstract

Air pollution is a pressing global issue, particularly in urban areas where rapid industrialization and urbanization have led to deteriorating air quality. Jakarta, as one of the world's most populous megacities, faces significant challenges in managing air pollution and safeguarding public health. This research paper explores the implementation of Internet of Things (IoT) technology for air pollution monitoring in Jakarta and quantitatively assesses the influence of air quality changes on public health outcomes. The study involves the deployment of IoT sensors to collect real-time data on key air pollutants, including particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3). Statistical analyses, including regression and correlation analyses, reveal strong associations between air quality variables and health indicators. Findings indicate that elevated levels of PM2.5 and NO2 are linked to increased hospital admissions for respiratory diseases, and CO levels are associated with hypertension and cardiovascular diseases. The study also explores public perception through surveys and questionnaires, highlighting a high level of awareness and support for government initiatives to improve air quality. The results emphasize the need for informed policy decisions, including stricter emission standards and public awareness campaigns, to combat air pollution and protect public health in Jakarta.
Multidisciplinary Research Mapping in Automation and Artificial Intelligence: A Bibliometric Analysis to Identify Science Convergence Nanny Mayasari; Hanifah Nurul Muthmainah; Natal Kristiono
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.234

Abstract

The field of Automation and Artificial Intelligence (AI) has witnessed rapid evolution, marked by interdisciplinary collaborations and groundbreaking advancements. This bibliometric analysis delves into the multidisciplinary research landscape within Automation and AI, aiming to identify science convergence and key trends. Utilizing a comprehensive dataset, we employed co-authorship analysis, citation analysis, keyword analysis, temporal analysis, and VOSviewer visualizations to map the dynamic landscape of Automation and AI research. Our analysis revealed extensive interdisciplinary collaboration among researchers from diverse domains, highlighting the role of cross-disciplinary innovation in advancing the field. Influential authors and highly cited papers were identified, emphasizing the impact of key contributions. Dominant research themes, such as machine learning, ethics in AI, and AI applications in healthcare, emerged from keyword analysis, reflecting the field's evolving priorities. VOSviewer visualizations provided clear representations of science convergence, showcasing the interconnectedness of disciplines like computer science, engineering, ethics, and economics. Interdisciplinary hubs and bridges were identified, underscoring the importance of cross-disciplinary research in shaping the future of Automation and AI. The findings of this analysis offer valuable insights for researchers, policymakers, and practitioners, providing a foundation for enhanced collaboration, ethical considerations, innovation in healthcare, and tailored education and training programs to meet evolving demands.
Co-Authors Abrar Hiswara Aditya Djaini Agi Nanjar Andi Haslinah ARIEF BUDI PRATOMO Arnes Yuli Vandika Astrid Napita Sitorus Deddy Hidayat Devi Susiati Dewantara, Rizki Dianta Mustofa K. Donny Muda Priyangan Eri Mardiani Gogor Christmass Setyawan Hazmi, Muhammad Jata, I Wayan Khamaludin Khamaludin Kristiono, Natal Loso Judijanto Mahmudin Mahmudin Mislan Sihite, Mislan Moh. Erkamim Muh. Aniar Hari Swasono Nanny Mayasari Nur Hakim Purnamasari, Etika Rifky Lana Rahardian Rully Fildansyah Said Hamzali Saputri, Dwi Yuniasih Sri Widiastuti Sriyeni, Yesi Sudarmanto, Eko Supriandi Supriandi Susatyo Adhi Pramono, Susatyo Adhi Syam Gunawan Tobias Duha Wibowo, Gentur Wahyu Nyipto Widyatmoko Widyatmoko Wily Mohammad Zunan Setiawan