bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilization and Sharing of Cyber Threat Intelligence Produced by Open-Source Intelligence
Authors: Rajamäki Jyri , McMenamin Stephen
Published: March 2024

Open-source intelligence (OSINT) is crucial for enhancing organizational cybersecurity by proactively identifying and mitigating potential threats using publicly available information. This study, part of the DYNAMO project, explores the production of cyber threat information (CTI) through OSINT, its application in safeguarding against cyber threats, and the necessary elements for secure information exchange between organizations. The authors employed an integrative literature review of various sources, including industry literature, articles, blog posts, studies, and organizational websites, which were then systematically analyzed using content analysis. The research focuses on OSINT tools and techniques emphasizing the need for expertise in discerning relevant data and respecting privacy rights. Human judgment is highlighted as crucial in ethical decision-making despite the significant role of technology in data collection. Platforms like the Malware Information Sharing Platform (MISP) facilitate the sharing of threat information, promoting prevention and identification of cyber-attacks. Ethical considerations, adherence to data protection legislation, and compliance with directives like the revision of the Network and Information Security Directive (NIS2) and artificial intelligence regulations are paramount. In conclusion, OSINT is a valuable tool for cybersecurity, requiring expertise, transparent processes, and a balanced integration of technology and human skills. The ethical dimensions of OSINT and the role of artificial intelligence merit separate in-depth studies.
On the Benefits of Vulnerability Data Consolidation in Application Security
Authors: Kasturi Santanam , Li Xiaolong , Li Peng , Pickard John
Published: March 2024

This research aims to build upon a conceptual idea of consolidating all application security vulnerability data from monitoring, detection, and discovery tools into a physical system that allows for convergence of observation and response to an event that is a threat. Multiple application security testing and monitoring tools are deployed at different layers of an application architecture and capture activities that occur at that layer. This multi-layer data capture is disconnected without any analysis of data lineage from the externally exposed web attack surface to deep down into the application and data layers. It is only through this data consolidation can one provide a reliable statistical analysis of correlating multiple vulnerability information and synthesize an attack pattern and predict possible events accurately. The benefits of such a system are discussed in this paper that includes how one can organize the data, identifying temporal and spatial correlation of events, focusing on specific web requests that point to a specific vulnerability, and formulating a fast response to such events. Advantages of integrating with Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR/XSOAR), Extended Detection Response (XDR) are briefly discussed. The analysis can be further used to develop a predictive system using deep learning (DL) techniques using correlation of application security vulnerability information.
An AI Model for Digital Forensic Readiness in the Cloud using Secure Access Service Edge
Authors: Hungwe Taurai , Venter Hein
Published: March 2024

Computing infrastructure has evolved and has brought about changes to the ways that work and business are carried out. Cloud computing has redefined these workspaces by providing connectivity and tools to enable productivity, collaboration, and flexibility.   As work moves outside the centralised office and goes remote, users are accessing the cloud directly, leaving the protection of the corporate network and leaving the users’ computing platforms open to threats. In the pre-cloud era, the data centre for organisations was the single location where digital assets would be housed and non-complicated security parameters implemented. The firewall would be the main security perimeter implemented to secure the network in this pre-cloud era. The advent of cloud computing has brought potential areas and gaps in securing the organisational data, information and communication connectivity to the cloud-based resources. As such, there is need to rethink and redesign the models which can be implemented to secure the cloud computing services. The cloud should be in a state of digital forensics readiness in order to facilitate digital forensics investigation. The study focuses on the development of an artificial intelligence model for digital forensic readiness for the cloud using secure access service edge. This integrated approach might assist in the provisioning of cloud security.
Deep Learning-based Framework for Detecting Malicious Insider-Inspired Cyberattacks Activities in Organisations
Authors: Chengetanai Gibson , Chandigere Teandai R. , Chengetanai Pepukai , Verma Rachna
Published: March 2024

Abstract— Cyberattacks are happening at an alarming rate both in developed and developing countries. This is due to more users now being connected to the global village (internet). Significant strides have been taken by organisations to protect information technology assets together with data, by doing defense-in-depth, using firewalls and access control approaches collectively. These approaches work well in detecting attacks by outsider cyber-attackers. In recent cyberattacks the perpetrators have been those within the organisation, as they can easily bypass security measures especially those with high privileges and they can go undetected for quite a long time. We propose a deep learning approach termed Automatic_ IDS_ Deep model (framework) that is infused with intrusion detection systems to give timely detection of malicious activities by those within the organisation. Experiments were conducted and averaging of results was done to determine accuracy, recall, and precision of the proposed model. The model (framework) offers better results on its performance in detecting attacks that are perpetrated  within the organisation.
A Strategic Path for Digital Transformation in Cyber Warfare for African Militaries
Authors: Thaba Mphahlela James , Mtsweni Jabu
Published: March 2024

Digital disruption has changed the battlefield and increased its complexity for the war fighter. The modern battlefield continues to increase this complexity, due to the evolution of components that constitute military capability. The technologies, processes and the users are such components. The modern battlefield relies on advanced technologies tapping on high connectivity, are more lethal, precise, and autonomous. Due to this evolution, areas once thought to be safe from conventional attacks are increasingly becoming vulnerable. This evolution of technology and shorter development curves have also increased the prominence of the cyberspace, as a domain of war. However, many militaries, especially in Africa are still operating legacy systems and struggling with modernizing their systems to take advantage of the digital evolution. This paper, therefore, uses a systematic literature review and benchmarking focusing on selected super cyber power nations’ indices to propose a strategic path for African militaries to drive digital transformation in their operational environments. The roadmap is proposed to stimulate the establishment and enhancement of African militaries’ cyber warfighting capabilities in the digital age. The objectives of this digital transformation path include establishing a digital backbone, where all the sensors, effectors and the deciders are plugged to share information and intelligence.
Systematic Review to Propose a Blockchain-based Digital Forensic Ready Internet Voting System
Authors: Muyambo Edmore , Baror Stacey
Published: March 2024

The ballot paper-based voting system has a high risk of data manipulation and vote tampering due to a lack of immutability, transparency and privacy. This systematic review is conducted with the intention of proposing a digital forensic-ready internet voting process to mitigate issues of vote rigging and vote fraud. The review focused on current and up-to-date literature. Publications that are out of this date range were ignored and considered stale or irrelevant. We extracted and reviewed publications with either or all the following keywords: “digital forensic”, “internet voting”, “e-voting” and “blockchain”. A total of thirteen databases were consulted. These include ACM, IEEE, Web of Science, Science Direct, Academic Search Complete, Access Science, ProQuest, Oxford Academy, Ingenta, Cambridge Core and Clarivate. From the inclusion list of one hundred and five (105) studies that were looked at in detail, twenty of them (i.e.,19%) covered blockchain technology. Two percent (2%) of them were focused on digital forensics in internet voting. The results herein were synthesised and presented in a qualitative methodology. The review shows that a secure and reliable digital forensic system could effectively mitigate vote rigging and fraud. Therefore, we proposed a blockchain-based digital forensic-ready internet voting system. The proposed system is beneficial to the electorate, election observers, electoral candidates, electoral administration bodies as well as the national law enforcement agencies.
The implementation of the “Clear air” Programme in Poland including voivodeships
Authors: Rajchel Dariusz , Rajchel Anna
Published: March 2024

Air pollution is a global problem affecting millions of people worldwide. Climate warming, increasingly difficult access to drinking water resources, and desertification of areas have all resulted in population migrations in search of better areas to live and work. High mortality rates due to smog and crop, soil, and water pollution are just some of the problems facing the whole civilised world. In 2019, in response to these and other climate challenges, the EU adopted the Green Deal, a strategy whereby the EU member states have committed to an energy transition. Climate neutrality, according to the document, should be achieved by 2050. From 2018 to 2029, the government program “Clean Air” will be implemented in Poland with the aim of reducing environmentally damaging emissions from heating single-family houses with harmful fuel in old and polluting stoves. The article presents the program's assumptions in relation to the priorities of the European Green Deal and statistical data concerning the replacement of boilers under the “Clean Air” program by province, the use of various heat sources in Poland, as well as the demand for each heat source based on the number of applications submitted. The paper highlights two aspects related to the functioning of the “Clean Air” program, the first of which is economic in character and pertains to heat source replacement costs, whilst the second concerns the management of renewable energy sources. Statistical data referred to in this article were finalised as of December 2022.
Perkiraan Kebutuhan Air Bersih Domestik Sumber Alami di Perdesaan; Studi di Desa Laramo, Kabupaten Konawe Utara
Authors: Saputra A Aswar Alan , Azis Rudi , Sambari Villa Evadelvia Ginal , Hasddin  , Sakti Putra , Maladeni Eva Safitri , Haydir
Published: March 2024

Tujuan penelitian adalah untuk mengetahui besaran total kebutuhan air bersih di Desa Laramo Kecamatan Lembo Kabupaten Konawe Utara hingga tahun 2033. Tujuan berikutnya adalah mengetahui ketersediaan air yang ada guna mencukupi kebutuhan air bersih di Desa Laramo Kecamatan Lembo Kabupaten Konawe Utara hingga tahun 2033.Penelitian ini menggunakan pendekatan deskriptif kuantitatif guna mengungkap kebutuhan air bersih Desa Laramo. Data penelitian bersumber primer dan sekunder. Data primer di peroleh dari data lapangan,data tersebut meliputi data debit reservoir, dan data Debit Air harian SR. Pengumpulan data sekunder dapat diperoleh dari instansi – instansi terkait, data tersebut meliputi; data jumlah penduduk desa dalam 5 tahun terakhir; data pengguna mata air dalam 5 tahun terakhir; dan data kebutuhan air bersih untuk desa. Kebutuhan Air Bersih berdasarkan Penambahan Jumlah Pengguna/penyambung pada daerah Desa Laramo untuk untuk proyeksi 10 tahun ke depan tidak terlampau jauh dengan tahun tahun sebelumnya dengan hanya naik sekitar 0,09%. Ketersediaan air dari Mata Air desa Laramo masih mampu mencukupi kebutuhan air bersih untuk daerah Laramo sekarang hingga tahun 2033. Hal ini dibuktikan dengan data yang di hitung dari lapangan (0,69 L/det) dan data kebutuhan air yang di hitung sampai tahun 2033 (0,292 L/det) yaitu 0,69 > 0,292.
Working capital and liquidity to the profitability of manufacturing companies listed on the IDX in 2019-2022
Authors: Rahmawati Mulia , Anggraeni Putri Riana , Maulan Shobha Tsaqofa , Haryadi Didit
Published: March 2024

This study investigates the interaction between modes of employment, profitability, and market liquidity in the manufacturing sector. The goal is to gain insight into how these factors interact and affect the overall value of a company in a particular region and industry. This analysis uses quantitative methods based on financial data and relevant metrics for a sample of 10 manufacturing companies. This study examines the relationship between working model, profitability, and market liquidity through statistical analysis and regression modeling techniques. The results showed that working capital has no effect on profitability, liquidity significantly impacts profitability in the manufacturing industry, and operating capital and liquidity simultaneously affect profitability. The findings contribute to the existing literature on company valuations by providing empirical evidence specific to the manufacturing sector. The research has implications for policymakers, investors, and managers, as it offers valuable insights into the factors that drive corporate value in the industry, helping stakeholders make decisions and strategies to improve performance and competitiveness. Provide benefits in the context of financial management.
Encourage work motivation and work discipline towards employee performance
Authors: Nur Fitri Syifa , Aullora Putri , Firdaus Mohamad , Haryadi Didit
Published: March 2024

Effective management, thinking about the importance of human resources. Employee performance is an essential factor influencing success. In an organization, this is one of the most critical functions of a company. This study aims to determine the variables that affect employee performance and develop a theoretical basis and research model. This study used an associative descriptive quantitative method with a population of 41 respondents drawn into a sample using non-probability sampling, the saturated sampling / total sampling method—and data analysis techniques using linear regression with the help of SPSS software version 26. The results of this study show that the first hypothesis states that employee performance is influenced by work motivation; the higher the work motivation, the higher the employee performance. The second hypothesis states that work discipline does not affect employee performance. The third hypothesis is that employee performance is influenced by work motivation and work discipline, which can simultaneously improve employee performance. This research is expected to make theoretical contributions to the literature in this context, certainly in the c ontext of human resource management.
Key analysis of the hill cipher algorithm (Study of literature)
Authors: Sujarwo Sujarwo
Published: March 2024

The security of the data (message) sent is very important in maintaining the confidentiality of the message. Many algorithms can be used to secure messages. Among them is the Hill Cipher algorithm. The Hill Cipher algorithm is a classic cryptographic algorithm. This algorithm uses a square matrix key. In connection with the Hill Cipher algorithm key, this literature aims to examine the matrix that can be used as a key in the encryption and decryption process in the Hill Cipher algorithm. In this literature, we take a square matrix of order 3x3 and use 36 characters (A-Z, 0-9). To produce cipher text, the method used is to carry out an encryption process based on the Hill Cipher algorithm. The encryption process is carried out by multiplying the key matrix by the plaintext. The decryption process to get the plain text back is done by multiplying the ciphertext by the inverse modulo matrix of the key matrix. The encryption process can always be carried out, but not all decryption processes can be carried out. Because not all matrices can be used as key matrices. The results of this literature show that the key matrix must be a matrix of order mxm. A matrix with determinant value = 0 cannot be used as a key. Likewise, a matrix whose determinant value is not relatively prime with the number of characters to be encrypted or decrypted cannot be used as a key matrix
Taşkın Risk Yönetiminde Sosyal Faktörlerin Değerlendirilmesi ve Doğu Karadeniz Havzası için Risk Algısı Yönetim Önerisi
Authors: Anılan Tuğçe , Sayıl Mahmut Cenk , Yüksek Osman , Bayram Selahattin
Published: March 2024

Son yıllarda, taşkın risk algısının ve vatandaşların koruyucu önlemlere ilişkin bilgi düzeylerinin ve farkındalıklarının değerlendirilmesi, yenilikçi entegre taşkın yönetim stratejilerinin oluşturulmasında odak noktası haline gelmektedir. Bu kapsamda, risk algısı, taşkın farkındalığı, hazırlıklı olma durumu ve sosyo-ekonomik dinamikler gibi sosyal bileşenlerin de mühendislik planlamalarıyla birlikte ele alınması taşkın risk yönetimi açısından oldukça önemlidir. Bu çalışma öncelikle, taşkın riski altındaki bölgelerde vatandaşların risk algısı, farkındalığı ve hazırlıklı olma durumları hakkında literatürde yapılmış çalışmalar hakkında bir değerlendirme yapılmıştır. Ardından taşkınlara sıklıkla maruz kalan Doğu Karadeniz Havzası için taşkın farkındalığı oluşturma yönetim planı önerilmiştir. Bu önerilerin oluşturulmasında literatürdeki mevcut çalışmaların sonuçları da dikkate alınmış ve bölge için uygulanabilirliği değerlendirilmiştir. Toplumun afet bilincini ve dayanıklılığını artırmak konusunda çocukların bilinçlendirilmesinin son derece önemli olduğu vurgulanmıştır. Ayrıca; eğitim faaliyetleri, taşkın müzesi ve ziyaretleri, belli periyotlarda anket uygulanması ve değerlendirmeleri, halkın taşkın erken uyarılara karşı güveninin sağlanması, taşkın izi faaliyet çalışmaları, taşkın tatbikatlarına halkın katılımı, psikolojik destek ve rehberlik birimi oluşturulması ve diğer öneriler değerlendirilmiştir.
Analisis Kinerja Pelayanan Publik di Desa Anggadita Kecamatan Klari Kabupaten Karawang
Authors: Agustin Rina , Diananda Rafli , Chaniago Siti Hafsyah
Published: March 2024

Tujuan dari penelitian ini untuk mengetahui kinerja aparatur Pemerintah Desa Anggadita Kabupaten Karawang dalam melayani masyarakat setempat dengan menggunakan pendekatan kualitatif dengan prosedur pengumpulan data dengan cara wawancara lapangan dan studi pustaka. Teori yang digunakan pada penelitian ini adalah teori fungsi pemerintahan yang didalam teori tersebut terdapat tiga indikator yaitu pelayanan, pembangunan, dan pemberdayaan. Penelitian ini dilakukan di Kantor Desa Anggadita Kecamatan Klari Kabupaten Karawang. Berdasarkan hasil penelitian yang telah dilakukan, Desa Anggadita telah melaksanakan fungsi pelayanan publik, pembangunan, serta pemberdayaan dengan baik. Namun masih terdapat hambatan-hambatan kecil dalam menjalankan fungsi tersebut seperti penolakan pembangunan dari masyarakat dan ketidakpatuhan masyarakat dalam melaksanakan aturan yang telah dibuat oleh pemerintah Desa Anggadita. Oleh sebab itu aparatur pemerintah Desa Anggadita berharap agar masyarakat dapat ikut berpartisipasi sehingga aparatur Pemerintah Desa Anggadita bisa melaksanakan fungsi pelayanan, pembangunan, dan pemberdayaan dengan optimal.
Tata Kelola Pemerintahan Dalam Pelayanan Publik di Desa Karang Anyar
Authors: Hidayatulloh Rizki , Purnamasari Hanny
Published: March 2024

Tata kelola pemerintahan desa merupakan bagian penting dari struktur pemerintahan di banyak negara, termasuk Indonesia, tata kelola pemerintahan desa sangat penting. Pelayanan publik yang ideal dapat dicapai melalui pemerintahan desa yang profesional, efisien, efektif, terbuka, dan bertanggung jawab, yang dikenal sebagai pemerintahan yang baik. Tata kelola pemerintahan desa ini memiliki kemampuan untuk mewujudkan pemerintahan yang baik melalui program untuk meningkatkan pelayanan publik di tingkat desa. Metode yang digunakan dalam penelitian deskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukan bahwa Penguatan Tata Kelola Pemerintahan Desa dapat meningkatkan Pelayanan Publik di Desa Karang Anyar sudah baik dilihat dari partisipasi masyarakat, transparansi, akuntabilitas, responsivitas, efektivitas dan kualitas kepemimpinan.
Sistem Informasi Pengontrolan Persediaan Barang Pada Gudang Suku Cadang PT. Mayora Indah Tbk, Tangerang
Authors: Wati Embun Fajar
Published: March 2024

Penelitian dilakukan di PT. Mayora Indah Tbk. Perusahaan tersebutmerupakan penghasil produk makanan di Indonesia. Gudang merupakan sistemelemen penting pada sebuah perusahaan, termasuk pada Perusahaan Produksimakanan ini. Gudang menjalankan fungsinya sebagai tempat penyimpanan stokbarang yang akan memberikan support untuk suku cadang mesin produksi.Melalui persediaan suku cadang yang baik pada gudang, maka akan membantubagian maintenance untuk perbaikan mesin demi kelancarannya produksi. Sistemyang berjalan saat ini telah dilakukan secara komputerisasi, yaitu denganmenggunakan Libreoffice, namun masih belum maksimal. Oleh karena itu dalampenelitian ini akan dilakukan pengembangan sistem yang dengan menggunakanaplikasi berbasis VB.Net. Penulis merancang sistem ini dengan berorientasikepada pemrograman berbasis aplikasi dengan memanfaatkan sistem basis datadan bahasa pemrograman yang terus makin menuju ke arah lebih baik.Metodologi yang digunakan yaitu dengan pendekatan analisis danpengembangan berorientasi objek mulai dari menganalisis sistem yang berjalanmelalui UML, melakukan elisitasi, serta menggambarkan sistem yang berjalandengan UML. Hasil yang diperoleh selama melakukan penelitian yaitupembuatan aplikasi pengontrolan persediaan barang menggunakan VB.NETdapat mempermudah pengolahan data dan pencarian data dengan cepat.
Analisis dan Evaluasi Sistem Informasi Akademik Menggunakan COBIT@ 5 PAM (Process Assesment Model) (Studi Kasus Pada Universitas Singaperbangsa Karawang)
Authors: Nugraha Bagja
Published: March 2024

Menganalisis dan mengevaluasi tingkat kapabilitas dalam proses penerapan tatakelola teknologi informasi yang berjalan di Universitas Singaperbangsa Karawang dan disesuaikan dengan standar nasional PTN yang tertuang dalam peraturan Menteri Pendidikan Tinggi Riset dan Teknologi. Metode penelitian yang digunakan adalah metode penelitian deskriptif. COBIT@ 5 PAM (Process Assesment Model) memberikan pedoman proses-proses dan dukungan praktis untuk membantu pimpinan dan manajemen eksekutif dalam memahami dan melaksanakan peran yang sesuai dalam merencanakan SIA. Organisasi dapat menggunakan prinsip-prinsip, proses-proses, dan hal-hal praktis yang terdapat pada COBIT@ 5 PAM (Process Assesment Model) untuk memperoleh manfaat strategik dan menciptakan level bisnis nyata yang lebih berarti. Hasil penelitian ini diketahui bahwa berdasarkan indeks pada capability model berada pada level 2.1 itu berarti UNSIKA telah menggunakan layanan teknologi informasi dari kegiatan operasional akademiknya, dengan COBIT@ 5 PAM (Process Assesment Model) ini diharapkan dapat menghasilkan suatu portofolio atau langkah-langkah yang terbaik bagi pihak UNSIKA pada saat akan mengambil keputusan untuk merencanakan proses Integrasi PTS ke PTN sesuai UU Kemenristek DIKTI.
Peramalan Jumlah Pinjaman Menggunakan Metode Fuzzy Time Series Cheng
Authors: Jamaludin Asep
Published: March 2024

Memberikan layanan terbaik dalam hal ketersediaan dana pinjaman  kepada anggota adalah salah satu kewajiban pengurus atau pengelola koperasi. Sehingga peramalan jumlah pinjaman dibutuhkan untuk membantu dalam menentukan kebijakan berapa jumlah dana yang harus disediakan. Fuzzy Time Series (FTS) merupakan salah satu soft computing yang telah digunakan dan dikembangkan oleh banyak peneliti. Salah satunya adalah Fuzzy Time Series yang dikembangkan oleh Cheng. Dengan mengunakan 36 data diperoleh nilai Mean Absolute Percentage Error (MAPE) sebesar 16,41%. Hal ini menunjukkan bahwa metode Fuzzy Time Series Cheng mempunyai kinerja bagus.
Rancang Bangun Aplikasi Media Pembelajaran Huruf Hijayah Visual 3d Dengan Metode Marker Based Tracking (Studi Kasus: TPA AL-Barkah Rapia)
Authors: Zidmy Irfan Maulana , Nurkifli E. Haodudin , Suharso Aries
Published: March 2024

Proses belajar membaca Al-Qur’an terdapat kaidah-kaidah dalam pengucapan huruf hijaiyah. Kendala-kendala yang dihadapi dalam pengucapan huruf hijaiyah yaitu lafal yang hampir sama. Masalah lain yang dihadapi oleh anak ketika membaca buku iqro’, mereka cepat merasa bosan dan menjadi malas untuk belajar karena media pembelajaran yang digunakan kurang menarik perhatian anak. Oleh karena itu untuk menangani masalah tersebut, salah satunya dengan membuat sebuah media tambahan pembelajaran huruf hijaiyah. Penelitian ini menggunakan metode Multimedia Development Life Cycle (MDLC) dengan tahapan konsep, perancangan, pengumpulan materi, pembuatan, pengujian dan distribusi. Hasil penelitian ini dapat membantu sarana pembelajaran dan menambah pemahaman, hal tersebut terlihat aplikasi ini dinilai baik dengan persentase sebesar 51% dan juga berdasarkan hasil tabel penilaian skor yang didapat setelah dilakukan perhitungan kuesioner dengan nilai 1275, angka tersebut termasuk dalam kategori interval 1200(baik) - 1600(sangat baik). Tetapi angka tersebut lebih mendekati interval “baik”.
Potential of soil and water conservation technologies for dryland agriculture and forestry
Authors: Mwadalu Riziki , Kisiwa Abdalla , Elema Mohamed , Gathara Mary
Published: March 2024

ABSTRACT Objective: Drylands cover 41% of the earth’s terrestrial landmass while in Kenya; they cover 80% of the land surface with production in these areas often impeded by soil moisture limitation thereby necessitating soil moisture conservation. The study aimed at identifying feasible soil moisture conservation technologies for agriculture and forestry development. Methodology and Results: The current metadata analysis evaluated 80 reference materials comprising of journal papers, book chapters and conference proceedings; 38.8% being research conducted in Kenya, 31.2% was research undertaken in other parts of Africa while 30.0% was research done in other parts of the globe. Available data shows that mulching enhanced infiltration by 81% reduced runoff by 54% and enhanced crop yield by 39%; terraces enhanced infiltration by 8% and reduced runoff by 30%. Micro-catchments enhanced moisture content by 45%, reduced runoff by 63% and enhanced crop yield by 17%. Further, the use of polymers enhanced crop yield by up to 45%. In Kenya, soil and water conservation technologies have been tested in Machakos, Embu, Kitui, Busia, Makueni and Tharaka Nthi counties. The main impediments to adoption of these technologies in Kenya and other parts of the globe include increased risk of pest and diseases incidences; high labour requirements; require large land sizes and increased cost of production resulting from labour requirements. The research gaps identified by different researchers concerning soil water conservation technologies are: lack of effective dissemination platforms to highlight efficiency of the different technologies; cost-benefit analysis of the different soil water conservation technologies and limited data on potential of various soil water conservation technologies for tree growing in ASALs. Conclusion: This review has revealed that adequate information on soil and moisture conservation technologies is needed and tailored to specific farmers’ needs to enhance level of adoption. In order to realize the full potential of soil and moisture conservation technologies, effective dissemination platforms such as use of demonstration plots and farmers’ field schools are required. Key words: soil moisture, technologies, conservation, adoption, ASALs
KONDISI KESEHATAN PADANG LAMUN DI PERAIRAN LANTUNG KECAMATAN WORI KABUPATEN MINAHASA UTARA
Authors: Sipayung Soniya Br , Sondak Calvyn F.A. , Warouw Veibe , Rimper Joice R. , Kemer Kurniati , Mamuaja Jane M. , Tilaar Ferdinand F.
Published: March 2024

Seagrasses are flowering plants (angiosperms) that live on a substrate of sand, muddy sand, and sand mixed with coral fragments. Seagrass beds have an important role both for supports the life of various types of marine biota as well as protein source for the coastal community. The purposes of this study were to find out the types of seagrasses and to assess seagrass bed conditions around Lantung village waters. The line transect quadrat method was using for data collection. Four transects were laid perpendicular from the sea to the shoreline. A 50 x 50 cm frame was used to asstimet seagrass percent cover and laid every ten meters along the transect line. This study found 7 species of seagrass namely Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, Syringodium isoetifolium, Halodule pinifolia, Halophila decipiens, and Halophila ovalis. The average value of seagrass percent cover at the location was 66.44% and it was categorized as ‘healthy’. The environmental parameters values were 29.86°C, 29.05‰ and 8.45 for temperature, salinity and pH respectively.Keywords: Lantung, seagrass, health condition, percent coverABSTRAK Lamun adalah tumbuh-tumbuhan berbunga (angiospermae) yang hidup pada substrat pasir, pasir berlumpur, dan pasir bercampur pecahan karang. Padang lamun memiliki peran penting dalam suatu ekosistem perairan dangkal yang menunjang kehidupan beragam jenis biota laut dan lumbung protein bagi masyarakat. Adapun tujuan dari penelitian ini ialah mengetahui jenis-jenis lamun yang ada di lokasi penelitian dan mengkaji kondisi kesehatan padang lamun dengan teknik pengumpulan data mengunakan metode transek kuadran yang ditarik tegak lurus garis pantai, dengan ukuran frame 50x 50 cm. Hasil penelitian di Perairan Lantung, Kecamatan Wori, Kabupaten Minahasa Utara, Sulawesi Utara ditemukan 7 jenis lamun yaitu Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, Syringodium isoetifolium, Halodule pinifolia, Halophila decipiens, dan Halophila ovalis. Nilai rata- rata penutupan lamun pada lokasi penelitian sebesar 66,44% dan di kategorikan sehat. Parameter di Perairan Lantung yaitu suhu, salinitas, pH, dan substrat tergolong baik dengan nilai rata- rata parameter tergolong optimun dan berada pada kisaran baku mutu air laut dan dapat di toleransi lamun dengan nilai suhu 29,86°C, nilai salinitas 29,05‰ dan nilai pH 8,45.Kata kunci: Lantung, lamun, kondisi kesehatan, penutupan
ASOSIASI ECHINODERMATA DENGAN KOMUNITAS PADANG LAMUN DI PERAIRAN DESA MANGON KECAMATAN SANANA KABUPATEN KEPULAUAN SULA
Authors: Bilmona Syakirin , Kaligis Erly Y. , Wagey Billy Th. , Losung Fitje , Rumampuk Natalie D.C. , Lumingas Lawrence J.L.
Published: March 2024

The purpose of this study was to determine the association between the phylum Echinodermataand the seagrass community in the waters of Mangon Village. This research was conducted in thewaters of Mangon Village, Sanana District, Sula Islands Regency in October 2022. The researchmethod used was the quadratic transect method. This method consists of 2 research stations which areabout 500m apart. The transect line is drawn straight from the beach to the sea for 100m then aquadratic plot is placed in a zig-zag manner to the left and right of the transect line. There were 10 plotsthat were observed and spaced 10m each and 3 repetitions were carried out with a distance of 50m pertransect. From this method the results obtained in the waters of Mangon Village showed that at stationone, the species found at two stations in Mangon Village waters were 7 species of Echinodermata and6 species of seagrass. Based on the person product moment correlation value, there is a correlation inthe form of a positive association between seagrasses and echinoderms at the study site. Theenvironmental parameters owned by the waters of Mangon Village, Sula Islands Regency, namely,temperature has a range of 24-28˚C, salinity has a range of 28 – 340/00, and pH has a range of 7,08-8,08. The substrate obtained is sand and sand mixed with coral fragments.Keywords: Association of Echinodermata with Seagrass Community, Mangon Village Waters

ABSTRAKTujuan penelitian ini adalah untuk mengetahui asosiasi antara filum Echinodermata denganKomunitas padang lamun di perairan Desa Mangon. Penelitian ini dilakukan di perairan Desa MangonKecamatan Sanana Kabupaten Kepulauan Sula pada bulan Oktober 2022. Metode penelitian yangdigunakan adalah metode transek kuadrat, Dalam metode ini terdiri dari 2 stasiun penelitian yangmemiliki jarak sekitar 500m. Garis transek ditarik lurus dari pantai menuju laut sepanjang 100mkemudian diletakkan plot kuadrat secara zig-zag disamping kiri-kanan pada garis transek. Terdapat 10buah plot yang diamati dan diberi jarak masing-masing 10m dan dilakukan sebanyak 3 kalipengulangan dengan jarak 50m per transek. Dari Metode tersbut hasil yang didapatkan di perairanDesa Mangon menunjukan bahwa pada stasiun satu, Spesies yang ditemukan pada dua stasiun diPerairan Desa Mangon adalah 7 spesies Echinodermata dan 6 spesies lamun. Berdasarkan nilaikorelasi person product moment, terdapat korelasi dalam bentuk asosisasi positif antara lamun danEchinodermata di lokasi penelitian. Parameter lingkungan yang dimiliki oleh perairan Desa MangonKabupaten Kepulauan Sula yaitu, suhu memiliki kisaran 24-28˚C, salinitas memiliki kisaran 28 - 340/00,dan pH memiliki kisaran 7,08-8,08. Substrat yang di dapat yaitu pasir dan pasir bercampur pecahankarang.

Kata Kunci: Asosiasi Echinodermata, Komunitas Padang Lamun, Perariran Desa Mangon
Monitoring Data Nilai Gizi Balita menggunakan Tableau Public (Studi Kasus : Posyandu Sedap Malam)
Authors: Akbar Yuma , Azzahra Yasmin Aulia , Hartinah Suci Sugih , Arfadhillah Zahra
Published: March 2024

In Indonesia, there are still toddlers with poor nutritional status. Nutrition is food substances needed for the development, growth, and health of a person's body. Toddlers who experience nutritional problems will have an impact on their growth and development, be susceptible to disease, and can even result in death in children under five. Children's growth and development are monitored regularly to detect potential problems early. Utilizing a community-based health system such as Posyandu is the most important key to improving the quality of children's growth and development. Monitoring of children's growth and development in Indonesia is carried out by measuring body weight every month at Posyandu with the Healthy Way Card (KMS) as a supporting tool. Through KMS, growth and development disorders in children can be identified early and appropriate steps can be taken to correct these problems. The Berbabis Tablue Posyandu Service Analysis Information System can help monitor data and information on the nutritional status of each child. The results of this paper show that the use of Tableau in analyzing data on the nutritional status of toddlers can provide a comprehensive and in-depth picture. Interactive visualization allows users to explore data directly, identify patterns, and quickly retrieve important information. With visualization, posyandu cadres can make decisions regarding toddler nutrition programs
Implementasi Platform Edukasi Pada Klinik Medikasih Pondok Kelapa Jakarta Timur
Authors: Akbar Yuma , Maulana Rizki , Ramadhan Muhammad Arya , Sibarani Julvan Marzuki Putra
Published: March 2024

Medikasih Clinic, which is located in Pondok Kelapa Village, Duren Sawit District, East Jakarta City, Special Capital Region of Jakarta, currently relies on a paid platform to manage clinic operations. However, there is no specific health education platform available for patients/customers, and the importance of improving the quality of health services at this clinic is highly recognized. To overcome these challenges, the service team plans to launch a web-based health education platform. This platform aims to support increased patient participation and health literacy by presenting health information from various medical sources. Based on the analysis of popular medical record diagnoses at Medikasih Clinic, we are determined to provide users with easy and reliable access to understanding health conditions, preventive measures, and healthy lifestyle practices. In conclusion, the development of this platform is a progressive step to create a positive impact. A focus on increasing health literacy and patient participation will create a society that is more informed and involved in personal health management. Our recommendation is to engage health experts and specialists to contribute educational content, ensuring the accuracy and reliability of the information presented
Design and Analysis of Simple Compact MIMO Antenna for Ultra-Wide Band Application
Authors:   Department of Electronics and Telecommunication, Ramrao Adik Institution of Technology, Dr. D. Y. Patil University Nerul, Navi Mumbai (M.H), India, Konade Shivanand , Dongre Dr. Manoj ,   Department of Electronics and Telecommunication, Ramrao Adik Institution of Technology, Dr. D. Y. Patil University Nerul, Navi Mumbai (M.H), India.
Published: March 2024

The proposed research presents a compact two ports Multiple Input Multiple Output (MIMO) antenna for the Ultra-Wide Band Application. The two symmetrical radiators consist for presented antenna and developed on an FR4 substrate for the overall size of the antenna is 20 × 44.1 × 1.6mm3 . The microstrip line is fed with a 50Ω for the proposed antenna. The lower than isolation is < −25 dB from 3.1 to 10.6 GHz. The gain is 4.3dB and The Envelope Correlation Coefficients (ECC) < 0.01. The radiators for the better isolations used for the F-shaped stub. The size of the vertical block of stub is 12.3 X 5 mm. Antenna parameters are evaluation for the return loss, ECC, DG, gain, radiation pattern and isolation.
Power Demand Forecasting Using ANN and Prophet Models for the Load Despatch Center in Andhra Pradesh, India
Authors:   Assistant Executive Engineer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India., Swargam Damini , Natte Mahitha ,   Assistant Executive Engineer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India., Javvadi Durga Aparajitha ,   Statistical Officer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India., Aray Vamsi Krishna Chaitanya ,   Assistant Executive Engineer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India., Rachuri Venkata Rama Santosh ,   Deputy Executive Engineer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India., Veguru Sreedhar Reddy ,   Executive Engineer, Department of Andhra Pradesh State Load Despatch Center, Transmission Corporation of Andhra Pradesh Limited, Vijayawada (Andhra Pradesh), India.
Published: March 2024

This paper uses various data variables to develop and analyze ANN and Prophet models for power demand forecasting in Andhra Pradesh, India. The electricity power consumption in Andhra Pradesh was about 51,756.000 GWh in 2021. Currently, there is a great emphasis on saving power. Power Demand Forecasting is creating much interest, and many models, such as artificial neural networks combined with other techniques based on real-life phenomena, are used and tested. These models have become an essential part of the power and energy sector. This paper considered specific time-series analysis methods and deep-learning techniques for short-term power demand forecasting. This paper also analyzes and compares results between the prophet and ANN models to predict power demand in Andhra Pradesh, India. Our results comparatively revealed the model's appropriateness for the problem. Both models performed well in three performance metrics: accuracy, generalization, and robustness. However, the AI model exhibits better accuracy than Prophet for the historical data set. The time taken for model fitting is also comparatively less for the AI models. The forecast accuracy of the electricity was in the range of 95 to 97.65.
Remote Diagnosis of Timed I/O-Automata
Authors: Schlage Thorsten , Lunze Jan
Published: March 2024

This paper considers the consistency-based remote diagnosis of discrete-event systems, where the diagnostic task is decomposed into an on- board and an off-board task. The system to be diagnosed is modelled by a new type of timed automata possessing discrete inputs and outputs. Faults are modelled as parameters of the edges and invariants of the automata. A consistency-based diagnostic method is derived for this model class by extending a method developed for timed automata without inputs and outputs. This method can be used for fault detection on the on-board component and for fault identification on the off-board component of the remote diagnostic system. The results are illustrated by an example.
MBD Techniques for Internet Delay Diagnosis
Authors: Stern Roni , Kalech Meir
Published: March 2024

Internet service providers (ISP) and administrators of Local Area Networks (LAN) aim to provide a certain level of service to end-users. However, network elements such as routers and switches may malfunction, resulting in abnormal communication delays. When such delays are observed, network administrators try to diagnose which network elements cause the abnormal delays. While most common techniques use additional measurements to identify the faulty device, we propose a non-intrusive model-based approach. The first approach translates classical MBD terms to this problem and shows a complete and sound solution. The second approach uses linear programming to produce a single minimum cardinality diagnosis in polynomial time. Both approaches are analyzed and evaluated empirically using the standard NS2 network simulator, and are able to find diagnoses or the minimal cardinality diagnosis in less than half a second for network models with up to 1,000 nodes.
Diagnosis of Autosub 6000 using Automatically Generated Software Models
Authors: Ernits Juhan , Dearden Richard , Pebody Miles , Guggenheim James
Published: March 2024

Modern systems frequently consist of a complex mixture of hardware and software. Model-based diagnosis typically assumes that the effects of the software can be summarised by the commands sent to the hardware and thus the software can be left out of the model. In our effort to build a diagnosis system for an autonomous underwater vehicle (AUV) we have an example where this is not the case—commands sent to the hardware are not all available to the diagnosis system for a variety of reasons. In addition, the software controlling the AUV, the mission script is frequently completely changed from one mission to the next. Taking advantage of the fact that the mission script has a relatively simple structure that does not include loops we show that a diagnosis model of the mission script can be generated automatically that integrates with the model of the physical hardware. We show that this model allows us to diagnose faults that cannot be detected from the hardware model alone.
Diagnosing Process Trajectories Under Partially Known Behavior
Authors: Friedrich Gerhard , Mayer Wolfgang , Stumptner Markus
Published: March 2024

Diagnosis of process executions is an important task in many application domains, especially in the area of workflow management systems and orchestrated Web Services. If executions fail because activities of the process do not behave as intended, recovery procedures re-execute some activities to recover from the failure. We present a diagnosis method for identifying incorrect activities in process executions. Our method is novel both in that it does not require exact behavioral models for the activities and that its accuracy improves upon dependency-based methods. Observations obtained from partial executions and re executions of a process are exploited. We formally characterize the diagnosis problem and develop a symbolic encoding that can be solved using constraint logic programming techniques. Our evaluation demonstrates that the framework yields superior accuracy to dependency-based methods on realistically-sized examples.
Diagnosing Intermittent and Persistent Faults using Static Bayesian Networks
Authors: W. Ricks Brian , J. Mengshoel Ole
Published: March 2024

Both intermittent and persistent faults may occur in a wide range of systems. We present in this paper the introduction of intermittent fault handling techniques into ProDiagnose, an algorithm that previously only handled persistent faults. We discuss novel algorithmic techniques as well as how our static Bayesian networks help diagnose, in an integrated manner, a range of intermittent and persistent faults. Through experiments with data from the ADAPT electrical power system test bed, generated as part of the Second International Diagnostic Competition (DXC-10), we show that this novel variant of ProDiagnose diagnoses intermittent faults accurately and quickly while maintaining strong performance on persistent faults.
Fault Detection in Non Gaussian Problems Using Statistical Analysis and Variable Selection
Authors: P. P. Gomes João , P. Leão Bruno , K. H. Galvão Roberto , Yoneyama Takashi
Published: March 2024

This work concers the problem of fault detection using data-driven methods without the assumption of gaussianity. The main idea is extend the Runger's U2 statistical distance measures to the case where the monitored variables are not gaussian. The proposed extension is based on Gaussian Mixture Models and Parzen windows classifiers to estimate the required conditional probability distributions. The proposed methodology was applied to an APU dynamic model and showed better results when compared to classical fault detection techniques using Multivariate Statistical Process control with Hotelling’s T metrics
Defect source location of a natural defect on a high speed- rolling element bearing with Acoustic Emission
Authors: Eftekharnejad B , Addali A. , Mba D
Published: March 2024

The application of Acoustic Emission (AE) technology for machine health monitoring is gaining ground as powerful tool for health diagnosis of rolling element bearings. The successful application of AE to life prognosis of bearings is very dependent on the ability of the technology to identify and locate a defect at its earliest stage. Determining source locations of AE signals originating in real time from materials under load is one of the major advantages of the technology. This paper presents results which highlight the ability of AE to locate naturally initiated defects on high-speed roller element bearing in-situ. To date such location has only be successfully demonstrated at rotational speeds of less than 100 rpm.