bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH MOTIVASI TERHADAP KINERJA KARYAWAN PADA PT. ELFRIDA PLASTIK INDUSTRI Tbk.
Authors: Rahardjo Sukoari
Published: December 2023

Tujuan penelitian ini adalah untuk membahas dan mengetahui pengaruh motivasi terhadap kinerja karyawan pada PT Efrida Plastik Industri. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kuantitatif. Teknik pengambilan data menggunakan Teknik observasi dan wawancara, analisis yang digunakan adalag dengan analisis regresi sederhana. Hasil penelitian Hasil analisis kolerasi diperoleh koefisien determinasi (R2) sebesar 0,849 yang berarti hubungan – hubungan variabel bebas motivasi (X) terhadap kinerja karyawan (Y) pada PT Elfrida Plastik Industri Tbk.
ANALISIS MANAJEMEN STRATEGI DALAM MENGHADAPI PERSAINGAN BISNIS PADA ERAFONE METROPOLITAN MALL CILEUNGSI BOGOR
Authors: Aditya Elza , Fadhilah Nurul
Published: December 2023

Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis Pengaruh Profesionalisme, Banyaknya persaingan dibidang sejenis tentunya tidak mudah untuk mempertahankan posisi Erafone yang sudah melekat pada masyarakat. Ditambah dengan kemajuan teknologi yang berkembang dengan adanya perdagangan online maka menjadi tantangan tersendiri untuk mempertahankan konsumen agar datang dan mengunjungi toko Erafone. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis stategi apa yang cocok digunakan Erafone Metropolitan Mall Cileungsi Bogor. Penelitian yang digunakan adalah penelitian kualitatif dengan menggunakan analisis deskriftif atau analisis yang dilakukan dengan memaparkan atau mendeksripsi data melalui kuesioner dan wawancara. Dengan jumlah responden sebanyak 4 orang.  Metode yang digunakan dalam metode penelitian ini adalah QSPM (Quantitative Strategy Planning Matrix) yaitu sebuah metode untuk menentukan prioritas alternatif strategi yang diperoleh dari analisis SWOT (Strength, Weakness, Opportunity, Threat). Analisis data yang digunakan adalah analisis Matriks IFE, Matriks EFE, Matriks IE, Matriks SWOT dan Matriks QSPM. Berdasarkan hasil yang diperoleh dari matriks IFE adalah total skor sebesar 2,72 dan Matriks EFE sebesar 2,85 menempatkan Erafone Metropolitan Mall Cileungsi Bogor pada posisi kuadran V adalah Hold and Maintan (pertahankan dan memelihara), yaitu dengan melaksanakan penetrasi pasar dan pengembangan produk.
ANALISIS STRATEGI BISNIS WIFI.ID PADA PT. TELEKOMUNIKASI Tbk. WILAYAH TELKOM BOGOR
Authors: Dianawati Altatit , Nabila Putri
Published: December 2023

Sebagai negara berkembang dengan jumlah penduduk Indonesia yang mencapai 270 juta lebih membuat Indonesia menjadi negara dengan tingkat penggunaan internet yang tinggi. Peningkatan permintaan penggunaan layanan internet di masyarakat Indonesia dimanfaatkan dengan baik oleh pihak PT. Telkom Indonesia (Persero) Tbk (Telkom) untuk memenuhi kebutuhan dan permintaan masyarakat Indonesia. PT. Telkom menyediakan berbagai fasilitas komunikasi untuk memenuhi kebutuhan masyarakat dalam sektor telekomunikasi menyediakan layanan yang beragam (multi service) bagi pelanggannya yaitu layanan suara (telepon), data (internet), dan gambar (IP-TV).
Tujuan dari penelitian ini adalah untuk mengetahui model bisnis Wifi.id saat ini dan menganalisis Strategi Bisnis Wifi.id PT. Telekomunikasi Indonesia Tbk. Wilayah Telkom Bogor. Jenis penelitian yang digunakan adalah penelitian deskriptif kualitatif dengan metode penelitian berupa observasi, wawancara, dan pengumpulan data menggunakan kuesioner. Model analisis data yang digunakan adalah Business Model Canvas (BMC), Analisis Lingkungan Internal-Eksternal, Matriks IE, dan QSPM. Adapun narasumber untuk memperoleh informasi sebanyak 9 orang dan untuk responden kuesioner tersebut berjumlah 3 responden.
Hasil dari Model Bisnis Wifi.id saat ini menunjukkan bahwa Wifi.id sudah menerapkan Model Bisnis dengan baik. Pada tahap input menunjukkan hasil Matriks IFE sebesar 2,567 dan Matriks EFE sebesar 3,881. Sehingga, pada Matriks IE menunjukkan bahwa posisi Wifi.id pada Matriks IE berada dalam Sel II dengan kategori Grow and Build. Strategi alternatif yang dihasilkan yaitu Penetrasi Pasar, Pengembangan Pasar, Pengembangan Produk, Merger, dan Akuisisi. Setelah dilakukan perhitungan menggunakan QSPM didapatkan tiga prioritas strategi alternatif untuk Wifi.id. yaitu Merger, Akuisisi, dan Pengembangan Pasar. Dengan melakukan Merger dapat menekan biaya operasi dan juga peluang memperluas pangsa pasar dengan perusahaan yang akan diajak bekerjasama. Selain melakukan merger, perusahaan dapat mengakuisisi perusahaan lain untung meningkatkan pertumbuhan perusahaan. Untuk strategi pengembangan pasar, Wifi.id dapat lebih fokus untuk mengenalkan produk mereka kepada pasar yang lebih luas.
دور اعادة هندسة العمليات المصرفية في تحقيق الاداء الاستراتيجي
Authors: السدمي د.مطهر
Published: December 2023

أن نموذج إعادة الهندسة لا يقتصر على المؤسسات ذات المواصفات الخاصة بينما يمكن تطبيقه على كل المؤسسات ومن هنا فإن المؤسسات التي تواجه مشكلات ستتغير بالدرجة التي تجعلها تستعيد قواها أما المؤسسات التي تتوقع مشكلات ستعد نفسها للمواجهة وأخيراً المؤسسات الناجحة سيزداد نجاحها ويتدعم تقدمها.وقد ذكر رمضان وجوده في كتابهما أن النواحي الإدارية في المصارف لم تلق الاهتمام الكافي من الباحثين والدارسين والكتاب المتخصصين في الإدارة فغالبية الدراسات التي تناولت النشاط المصرفي كانت تركز أساساً على اقتصاديات المصارف Money & Banking معتبرة المصرف مجرد (دكان) لتداول الأموال على الرغم من أن الأمر يختلف في جوهره عن ذلك فالمصرف بالدرجة الأولى تنظيم للمجهودات البشرية يهدف إلى تقديم خدمة لأزمة ونافعة للمجتمع الأمر الذي يحتم توافر الأركان الأساسية للعمل الإداري الناجح من تخطيط وتنظيم ومتابعة وتقييم وتلعب العملية الإدارية في المصرف شأن أية منظمة أخرى دور العامل الحاسم في تحديد كفاءة العمل وتقييم الانجازات (رمضان وجودة، 2003).
أثر تعدد القوة الشرائية للعملة الوطنية على القياس والإفصاح المحاسبي
Authors: علي ياسين سيف مقبل
Published: December 2023

تناولت هذه الدراسة ظاهرة وجود أكثر من سعر صرف للعملة الوطنية، وهدفت إلى التعرف على واقع القوة الشرائية للعملة الوطنية ومشاكلها، وكذلك التعرف على أهم المعوقات التي يواجهها المحاسب عند القيام بعمله في ظل تعدد القوة الشرائية. اعتمدت الدراسة على فرضية أساسية تفيد بوجود أثر ذو دلالة إحصائية عند مستوى 0.05% بين تعدد القوة الشرائية للعملة وعملية القياس المحاسبي، وكذلك بين تعدد القوة الشرائية وعملية الإفصاح المحاسبي. توصلت الدراسة إلى أن تعدد القوة الشرائية للعملة الوطنية له تأثير كبير على القياس والإفصاح المحاسبي، حيث أن المتغير المستقل (تعدد القوة الشرائية) له درجة موافقة عالية. جاء بعد القياس في المرتبة الأولى يليه بعد الإفصاح، مما يدل على أن تعدد القوة الشرائية للعملة الوطنية يؤثر بشكل واضح على العمليات المحاسبية. بناءً على النتائج، أوصت الدراسة بضرورة توحيد القوة الشرائية للعملة الوطنية لتحسين دقة الإفصاح المحاسبي وتعزيز الثقة في التقارير المالية.
Newspaper Coverage of Healthcare: A Content Analysis of English and Hindi Dailies in Gurugram, India
Authors: Kasturia Shivani , . Divya
Published: December 2023

Aim: Health is a critical component of an individual’s existence. In recent years, there has been an increased recognition of its severity. It has been steadily accepted that individuals with higher health information are better capable of making informed decisions regarding their health. The media has established a precedent in its reporting of COVID-19. The unique nature of the situation has played a vital role in persuading individuals to confront and address the pandemic. Nevertheless, some diseases are widespread and considerably harm the population. However, multiple studies have repeatedly demonstrated that individuals have a significant deficit in their capacity to manage this issue efficiently. Media, particularly newspapers, can fulfill a critical duty in distributing information regarding numerous health concerns to the larger population.Methods: The paper conducted a content analysis of healthcare-related news published in four dailies, namely ‘Times of India,’ ‘Hindustan Times’, ‘Dainik Jagran’ and ‘Navbharat Times’. Five hundred seven (507) news reports on health were collected and analyzed by subscribing to these four papers over six months, from August 2022 to January 2023.Results: The coders recognized eleven categories for news report categorization: awareness campaign, disease prevention, disease diagnosis, disease outbreak, disease symptoms, disease treatment, COVID-related news, death update, vaccine update, expert views and government health scheme. Under this, COVID-related news, including the case upload, was 29.39%, whereas prevention was 1.78%, diagnosis was 1.97%, and treatment was 4.93%.Conclusion: The research would provide insights into national daily trends in reporting on healthcare issues. The extent of coverage has become restricted. Furthermore, there is a persistent focus on updates of COVID-19, while other health concerns are not adequately prioritized.
Unraveling Bollywood’s Propaganda: A Framework for Analysing Political Narratives in Indian Cinema
Authors: Palasseri Aneesunneesa
Published: December 2023

This research paper delves into the intricate relationship between Bollywood cinema and propaganda. Bollywood, India’s film industry, has been a powerful force in shaping national identity and cultural norms. However, as with any form of media, films can serve as vehicles for propagating ideologies and agendas. Against the backdrop of the Bharatiya Janata Party (BJP)-led government’s second tenure, marked by an upsurge in propaganda-laden films, this paper seeks to develop a comprehensive framework for evaluating propaganda elements in Bollywood movies. Drawing inspiration from Herman and Chomsky’s propaganda model and Matthew Alford’s adaptation of it for Hollywood, this research establishes the Bollywood propaganda model. The model comprises five key filters namely, concentrated corporate ownership, advertising, sourcing, flak and the enforcers and anti-‘other’ as a control mechanism. This research paper underscores the applicability of the propaganda model to Bollywood, shedding light on the industry’s role in shaping public perceptions and beliefs. While the model offers valuable insights, further research is needed to address the complexities and variations within the Bollywood film landscape comprehensively. Continuous exploration and refinement of the framework are essential for a more nuanced understanding of propaganda’s implications in Bollywood cinema.
Characterization of mango hybrids and their parents for vigor, flowering, yield components and biochemical traits
Authors: K H Jnapika , Arumugam Nagaraja , Srivastav Manish , Verma M. K. , Krishnan S Gopala , Amitha S.V. , Sharma Nimisha
Published: December 2023

The vigour, blooming, yield, and biochemical features of seventy mango hybrids, including their parents,‘Amrapali’ and ‘Sensation’, were evaluated. The hybrid ‘H-13-5’ had the greatest plant height (10.11m), wherestem girth was maximum in ‘H-1-6’ (132.21cm), and ‘H-13-1’ had the largest canopy spread (9.77 m). The hybrid‘H-13-4’ exhibited the highest bark-wood ratio (7.59), signifying a higher percentage of mature wood surroundingthe entire stem. Hybrid ‘H-1-9’ had the highest stomatal density (797 stomata/mm2) as a dwarfing trait. Regardingreproductive characteristics, hybrid ‘H-11-4’ produced the maximum number of fruits (2.51) per panicle. Witha more significant fruit retention percentage of 62%, the hybrid ‘H-11-1’ showed improved fruit retention onthe tree. The tree with the higher fruit output, hybrid ‘H-1-8’, produced 43 kg of fruit per tree. The hybrid ‘H-1-5’ produced the maximum size of fruits (317 g/ per fruit). These signify that the resultant hybrids have a lotof potential for future breeding and commercial exploitation be cause of their advantageous economic traits
Ongoing Outbreak of Monkeypox Virus
Authors: Tani Tanishka
Published: December 2023

The cases for Monkey pox virus are noted to be increasing day by day in many areas and many deaths are also being reported in shorter span of time. This article deals with the ongoing outbreak of monkeypox virus (zoonotic) that belongs to genus orthopoxvirus which was confirmed in May,2022 and has similar symptoms as of smallpox but less contagious and less severe illness than smallpox. The article also deals with its signs and symptoms, diagnosis, prevention and treatment.
Giant Cell Fibroblastoma of Hand in an Adult: An Uncommon Presentation
Authors: Surana Akshay , Nandedkar Shirish , Mehta Virendra K.
Published: December 2023

Giant cell fibroblastoma is a rare intermediate grade fibrohistiocytic tumour of childhood and even rarer in adults. It is seen in first decade of life. It is known for its recurrence, but its metastasis has never been reported. Giant cell fibroblastoma requires attention as it was previously misdiagnosed as sarcoma.  So histology  is mandatory and remains the gold standard for its diagnosis. We present a case of 21 year old female who presented with complains of painless lesion over the dorsal aspect of left hand.
A estratégia de diversificação rural e o acesso aos capitais: um estudo de caso no interior do Rio Grande do Sul
Authors: Schaeffer Stefany Martha , Padilha Ana Claudia Machado , Secchi Morgana
Published: December 2023

A diversificação rural não se refere apenas em complementar as atividades dos agricultores com novas atividades não agrícolas, mas, também, cria uma nova base para a economia rural local. Nesse contexto, esse estudo tem como objetivo identificar as alternativas de implementação de estratégia de diversificação para a Propriedade Rural Schaeffer localizada em Tio Hugo (RS) a partir da plataforma de capitais disponíveis. Como procedimentos metodológicos, foi desenvolvido uma pesquisa com abordagem qualitativa e exploratória, por meio da técnica estudo de caso único. Além disso, utilizou-se da entrevista em profundidade, através de um roteiro de perguntas, com categorias determinadas a priori que emergiram da revisão da literatura, sendo que, as respostas foram gravadas em áudio, degravadas, tabuladas com a utilização do software Microsoft® Excel™ e analisadas a partir da técnica de análise de conteúdo. Como dados significativos do estudo, percebe-se que os principais motivos para a família diversificar as atividades no meio rural foram para ampliar. A família possui uma ampla interação com a comunidade, facilitando a comercialização dos produtos.
Aspectos econômicos da produção de feijões pretos e cores: quatro anos de acompanhamento em 1ª e 2ª safras no Paraná
Authors: Robusti Eliane Araujo , Júnior Dimas Soares , Menezes Junior Ayres de Oliveira
Published: December 2023

Nos últimos anos a produção brasileira de feijão (Phaseolus vulgaris L.) destacou-se pelo aumento da produtividade e o Paraná tem grande representatividade no cenário nacional do produto, tornando relevante a análise dos aspectos econômicos associados à produção do mesmo no contexto do estado. Desse modo, o presente artigo objetivou apresentar estudos associados à economia da produção de feijão no Paraná, quais sejam a caracterização dos custos e receitas operacionais para os feijões dos grupos preto e cores, produzidos em 1ª e 2ª safras no período de 2014 a 2018, em 49 áreas produtivas do estado do Paraná, assim como as análises das margens de comercialização do grão. Os resultados apontam para diferenças entre 1ª e 2ª safras na cultura do feijão em termos de custos, produtividades e consequentemente receitas, mas também são encontradas diferenças significantes entre os grupos de feijões preto e cores. Adubação, controle de doenças e aquisição de sementes representam uma parcela significativa dos custos. As maiores receitas foram obtidas na primeira safra. No tocante às margens de comercialização, as variações nos preços foram prejudiciais aos agricultores nos anos de 2015 para feijão preto e 2018 para feijão cores. Em contraste com o produtor, o segmento atacadista manteve uma de composição dos preços próxima a uma constante entre os anos de 2015 a 2019, independente do grupo de feijão estudado.
Rancang Bangun Alat Sortir Jeruk Medan Berdasarkan Luas Lingkar Berbasis Mikrokontroler ATMega2560
Authors: Ginting Yafet Nikolas , Abdillah Junindo , Sarimole Frencis Matheos
Published: December 2023

The increasing demand in the agricultural sector demands efficient fruit sorting solutions. This study considered the design and implementation of a orange fruit sorter combining ultrasonic sensor technology, servo motor, and infrared proximity. This tool aims to measure small to large dimensions of orange fruits. The use of infrared proximity aims to counter the fruit in each path where the orange runs to its container, and then the calculated information is displayed on the LCD screen to provide clear information for farmers. The main advantage of this tool is its ability to automatically classify orange fruits by size and amount. The integration of ultrasonic sensors and infrared proximity provides accuracy in distance measurement and fruit counting. This tool innovation provides unprecedented solutions and potential in orange fruit sorting, and can increase productivity in the agricultural industry. This research uses a technology design and implementation approach by integrating ultrasonic sensors, servo motors, IR proximity, on microcontrollers. The designed tool is able to classify orange fruits automatically by size and number. The design of this orange sorter promises to increase efficiency in the agricultural industry. The implementation of sensor technology and automation systems has the potential to provide the right solution for fruit sorting needs.
Pendampingan Madrasah dalam Penguatan Toleransi dalam Minimalisasi Bullying Siswa di MTs Miftahul Ulum Kerang Sukosari Bondowoso
Authors: Pathollah Akhmad Ghasi , Munir Misbahul
Published: December 2023

Artikel ini bertujuan untuk mendeskripsikan tentang pendampingan madrasah dalam penguatan toleransi dan minimalisasi bullying siswa. Pasalnya, perilaku bullying marak terjadi di antara siswa tanpa memandang letak geografis. MTs Miftahul Ulum yang ada di pelosok desa juga tak luput dari adanya perilaku bullying di antara para siswa. Perilaku ini sebetulnya bermula dari hal kecil dan remeh, yang dalam bahasa madura dikelanl dengan ‘congucho’, namun ketika prilaku ini terjadi secara intensif dan dalam skala luas, maka mengakibatkan mental down pada korban bullying itu. Sebegai sebuah langkah antisipasi, sosialisasi dan penguatan toleransi menjadi penting untuk dilakukan bagi siswa dan guru serta orang tua. Metode yang dipakai dalam artikel pengabdian ini adalah Partipatory Action Research (PAR). Sebuah metode yang menuntut peneliti terlibat dalam pelaksanaan proses di lapangan. Metode ini sesuai karena pengabdian yang berupa pendampingan menuntut partisipasi peneliti dalam proses. Hasil dari pembahasan artikel ini adalah bahwa perilaku bullying jamak terjadi di antara para siswa mulai dari bullying verbal dan bullying non-verbal, fisik dan non-fisik. Perilaku bullying ini menyerang terhadap mental siswa apalagi bila dilakukan secara berkelompok. Langkah antisipatif dibutuhkan agar perilaku bullying tidak menjadi karakter bagi siswa sehingga menjadi kebiasaan yang buruk yang dijaga dan dilestarikan. Artikel ini diharapkan akan membangun kesadaran toleransi dan keterbukaan yang tinggi pada siswa dan pada gilirannya mengurangi terhadap prilaku bullying dalam kadar yang paling minimal.
Pendampingan Membaca Al-Quran terhadap Siswi Kelas Vii Smp Islam Paiton di Sumberanyar Paiton Probolinggo
Authors: Romziana Luthviyah , Hasanah Mamluatul , Azizah Nur , Habsyi Nabilai
Published: December 2023

Abstrak: Pendampingan pembelajaran membaca Al-Quran sangatlah penting karena banyak siswi-siswi di SMP Islam Paiton yang memiliki kemampuan membaca Al-Quran yang sangat kurang, utamanya dalam memahami ilmu tajwid dan pelafalan huruf hijaiyah yang benar. Adapun Tujuan pendampingan pembelajaran membaca Al-Quran ini yaitu untuk memberikan pemahaman tentang ilmu tajwid dan pelafalan huruf hijaiyah yang baik dan benar (makhorijul huruf) kepada siswi-siswi di SMP Islam Paiton, khususnya kelas VII. Metode pelaksanaan pengabdian ini dilakukan dengan tutorial yaitu penyampaian materi-materi terkait masalah ilmu tajwid dan makhorijul huruf yang dilanjutkan dengan praktek membaca Al-Quran secara secara langsung oleh para siswi. Adapun metode pembelajaran Al-Quran yang dipakai yaitu metode Tartila. Hasil pengabdian ini menunjukkan bahwa dengan adanya pendampingan membaca Al-Quran oleh mahasiswi pengabdian, menjadikan siswi-siswi di SMP Islam Paiton, memahami tentang ilmu tajwid dan makhorijul huruf dan dapat menjadikan siswi siswi fashih dalam membaca Al-Quran.
Gasification Burner Performance Test Using Bio-Coal Fuel
Authors: Nurhadi N. , Kornarius Yoke Pribadi , Handoko Slamet , K. Sirait Johannes , Azhar Lutfi Muhamad
Published: December 2023

Fuel for high-energy solid fuel combustion systems must meet abundant availability, affordability, and environmental friendliness criteria, particularly having low greenhouse gas emissions. One type of fuel that meets these criteria is bio-coal. Gasification burners employ staged combustion techniques that enhance combustion efficiency and reduce the formation of harmful substances, making them more environmentally friendly. This article discusses the performance testing of gasification burners using bio-coal as fuel, with variable primary air flow rates of 25, 30, 35, 40, and 50 m3/hour and biomass percentages in the bio-coal of 25%, 50%, and 75% by weight. The parameters observed are burner capacity, temperature, and CO2 gas emission factor. The experimental results show that increasing the air flow rate from 25 to 35 m3/hour significantly increases burner capacity and temperature, while further increasing the primary air flow rate to 50 m3/hour results in a gradual increase in burner capacity. The experiments also indicate that increasing the biomass percentage in the bio-coal slightly increases burner capacity and temperature due to the similar calorific values of palm pellet and coal used. The gasification burner technology developed by BBP Tekmira has proven to operate effectively within a capacity range of 8 to 20 kg/hour for bio-coal fuel with biomass percentages ranging from 25% to 75% by weight, producing burner temperatures between 805 and 933 degrees Celsius. Using bio-coal for gasification burners has also been shown to reduce greenhouse gas emissions when the biomass percentage in bio-coal exceeds 64%.
The Effect Of Trust On Loyalty Mediated By Customer Satisfaction And Commitment
Authors: Budiyanti Theresia
Published: December 2023

This study aims to analyze the effect of trust on customer loyalty by mediating customer satisfaction and commitment. This study uses a quantitative approach by collecting data through surveys using questionnaires to respondents who are customers of an organization or company. Data analysis was performed using regression methods to evaluate how trust can affect loyalty, with customer satisfaction and commitment as intermediary variables. The results of this study are expected to provide a better understanding of the relationship between trust, customer satisfaction, commitment, and customer loyalty. The implications may provide valuable insight for business practitioners in developing strategies that increase customer loyalty through increased trust, customer satisfaction, and commitment. This research can also make theoretical contributions to the marketing management literature regarding the relationship between these variables.
Rethinking Global Supply Chain Management in a Changing Environment to Develop an Integrated Freight Transportation System in Bangladesh
Authors: Sabur H M Abdus
Published: December 2023

Global supply chain management has been a critical aspect of the international business community for decades. With the rapid growth of globalization, companies have been expanding their businesses to different parts of the world, establishing cross-border partnerships and operations, and relying on global trade for their success. In recent years, the environment in which these supply chains operate has undergone significant changes. The COVID-19 pandemic, changes in government policies, and fluctuations in global trade and investment have created a more complex and challenging landscape for companies to manage their supply chains effectively. This has resulted in a need for companies to rethink their supply chain strategies, especially in developing countries such as Bangladesh. The study employs qualitative research methodology to develop an integrated freight transportation system in Bangladesh just after the changing environment of supply chain management due to COVID-19, geopolitics, and other negative impacts that brought supply chain risks/disruptions in the global freight movement from/to Bangladesh through Bangladeshi seaports. The findings of the research brought the transportation disruptions that lead to problems like operation shutdown, lost sales, late deliveries, and reputation loss remarkably. River transport emerges as the overwhelmingly preferred mode, presenting a substantial 60% of the respondents' choices whereas rail mode is only 30% but rail offers advantages in terms of efficiency and cost-effectiveness to make it a strong candidate for transporting goods Furthermore, 41.58% of respondents expressed the view that COVID-19 has significantly disrupted various activities, including the global supply chain and shipping trade. The purpose of this research is to provide a comprehensive analysis of the current state of global supply chain management in Bangladesh and to identify ways to enhance the country's integrated freight transportation system. This research will examine the existing infrastructure, policies, and practices, and suggest mechanisms for improving the efficiency and competitiveness of the supply chain in Bangladesh.
Assessment of Groundwater Resources in the Hard Basement Rocks of Yemen, Al Bayda City Case Study
Authors: Abdul Aziz Ahmed , Al Kadhy Abdulaleem
Published: December 2023

The present study was carried out with the aim of assessing the availability of groundwater in a typical hard basement complex area in Yemen, the catchment area of Al-Bayda city catchment in the mountainous region of the country. The main objective of this study is to evaluate and quantify the groundwater resources available in this area. The available regional data on climate, topography, and geology as well as ASTER and Landsat imaginary data were collected, reviewed, and analyzed together with local hydrogeological studies and well inventories and then used to identify the general geohydrology of the catchment, characterize the local aquifer system, assess the groundwater situation and quantify the available groundwater in the study area. The results of this study show that the aquifer system accounts for only about 5 % of the entire catchment area and has a total thickness of 10 - 30 m. This aquifer has a small lateral extent and is interrupted by faults, dykes, and plutonic intrusions. Limited amounts of groundwater occur in isolated bodies along the main wadis at the base of the aquifer system. The groundwater level in these bodies has dropped by 19 m since 1983, on average by 0.5 m per year. Groundwater recharge for the current state is estimated at 1.95 million m3/year, which is only 3% of the total annual precipitation. The total amount of groundwater withdrawn is estimated at 2.2 million m3/year, which is 80% below the current (2023) total annual demand of around 11 million m3. The study underlines the need to implement an urgent action plan to improve groundwater recharge through water extraction techniques. The research results can be used for the improvement and development of water resources in this area in particular and in the Yemen region in general.
Studi Pendahuluan Analisis Potensi Baji Pada Rencana Bukaan Terowongan Jalan Sipil Di Daerah Gunung Manggah
Authors: Satria Bekti Nanda , Trides Tommy , Dina Devy Shalaho , Oktaviani Revia , Juvensius Pontus Albertus
Published: December 2023

Ambrukan atau subsidence merupakan salah satu masalah yang kerap terjadi pada saat konstruksi pembangunan terowongan bisa disebabkan oleh kondisi geologi maupun kualitas batuan penyusunnya. Dengan metode analisis streografis ambrukan dapat ditentukan baik tipe, bentuk, bahkan volumenya. Selain itu nilai kualitas batuan juga menjadi salah satu parameter penting untuk mengetahui tingkat kekuatan batuan pada sekitar rencana bukaan terowongan tersebut. Hasil analisis streografis pada bukaan terowongan pada bukaan  inlet dengan 5 joint set dan bukaan outlet dengan 3 joint set keduanya memiliki potensi terbentuknya baji. Untuk nilai kualitas batuan pada bukaan inlet memiliki nilai RQD 97,63% dan pada bukaan outlet memiliki nilai 99,82% dimana dari kedua nilai tersebut termasuk dalam kategori sangat baik. Dengan bantuan perangkat lunak titik baji pada sisi geometri terowongan dapat dilihat dimana pada bukaan inlet terowongan baji yang terbentuk ada pada sisi kiri terowongan dengan FK stabil ; sisi kanan bawah terowongan dengan FK 1,73 ; sisi kanan atas terowongan dengan FK 0,00 ; sisi atas terowongan dengan FK 0,00 ; dan sisi bawah terowongan dengan FK 0,06. Pada bukaan outlet terowongan baji yang terbentuk ada pada sisi kiri atas terowongan dengan FK 1,43 ; pada sisi kanan bawah terowongan dengan FK stabil ; sisi kanan atas dengan FK 0,17. Setelah dikentahui titik mana baji terbentuk maka dilakukan perkuatan pada bukaan inlet  bagian sisi atas terowongan dengan menggunakan rockbolt berjenis mechanical anchor. Pada inlet terowongan  spesifikasi rockbolt yang digunakan pada sisi bawah (panjang 1,5 m, jarak vertikal 1,5 m, jarak horizontal 1,5 m, kapasitas rockbolt 15 ton, FK 2,25), sisi kanan bawah (panjang 1,5 m, jarak vertikal 1,5 m, jarak horizontal 1,5 m, kapasitas rockbolt 15 ton, FK 2,09), kanan atas (panjang 1 m, jarak vertikal 2 m, jarak horizontal 2 m, kapasitas rockbolt 5 ton, FK 2,00), sisi atas (panjang 1 m, jarak vertikal 1,5 m, jarak horizontal 2 m, kapasitas rockbolt 10 ton, FK 2,20), dan sisi kiri (panjang 0,5 m, jarak vertikal 2 m, jarak horizontal 2 m, kapasitas rockbolt 5 ton, FK stabil). Untuk outlet terowongan spesifikasi rockbolt yang digunakan pada sisi kiri (panjang 2 m, jarak vertikal 1 m, jarak horizontal 1 m, kapasitas rockbolt 20 ton dengan penambahan shotcrete 10 cm, FK 2,05), sisi kanan atas (shotcrete 10 m, FK 23), sisi kanan dan bawah (panjang 0,5 m, jarak vertikal 2 m, jarak horizontal 2 m, kapasitas rockbolt 5 ton, FK stabil).
Mengukur Usability Pada Website Simak Universitas Khairun Menggunakan Hauristic Evaluation Methode
Authors: Aswidani Aswidani
Published: December 2023

Penelitian ini adalah penelitian studi kasus menggunakan pendekatan kualitatif deskriptif dengan teknik observasi. Tujuannya mengetahui seberapa besar usability atau daya guna dari website SIMAK Universitas Khairun (Unkhair). Metode pengukuran menggunakan Ten Heuristic Evaluation Methode yang dikembangkan oleh Nielsen Jakob & Mack pada tahun 1990. Dalam pengukuran ini Nielsen menambahkan savering rating untuk mengetahui tingkat keparahan dari produk yang diteliti. Terdapat 4 savering rating; dari angka 0 (tidak parah) sampai angka 4 (fatal/parah). Pada penelitian ini, peneliti menambahkan skala linkert 1 sampai 5, untuk mengukur tingkat kesesuaian fungsi konten website SIMAK dengan 10 point evaluasi heuristik. Adapun variabel yang diukur adalah variabel usability dan variabel website SIMAK. Variabel usability terdiri atas 10 evaluasi hauristik dan variabel dari web simak terdiri atas 4 Laman/konten utama yaitu Login, Branda, Akademik dan Keluar. Hasil penelitian menunjukan bahwa rata-rata konten yang terdapat pada website SIMAK Unkhair memiliki skala 3,9 atau “sesuai kebutuhan”, dengan savering rating pada tingkat 1 atau tidak parah, karena permasalahan hanya terdapat pada tampilan sehingga tidak perlu perbaikan. Ini menjelaskan bahwa Website SIMAK Unkhair memiliki unsur Usability yang “BAIK”.
Implementasi Konsep Sapta Pesona Dan Partisipasi Masyarakat Di Desa Riam Tinggi, Kecamatan Delang, Kabupaten Lamandau, Kalimantan Tengah
Authors: Marantina Cicik , Riassy Christa Usup , Isfarudi Isfarudi
Published: December 2023

Keindahan alam yang dimiliki oleh Desa Riam Tinggi, Kecamatan Delang menjadikan desa tersebut mendapat penghargaan dari Program Anugerah Desa Wisata Indonesia pada tahun 2021. Dilansir dalam Badan Pusat Statistik (BPS) Kalimantan Tengah bahwa lama tinggal wisatawan di Provinsi tersebut, termasuk di Desa Riam Tinggi cukup rendah, yaitu tidak lebih dari dua malam. Hal tersebut dapat diatasi salah satunya dengan penerapan unsur-unsur Sapta Pesona dan adanya komitmen dari masyarakat untuk berpartisipasi dalam penerapannya. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana implementasi Sapta Pesona di Desa Riam Tinggi dan untuk mengetahui partisipasi masyarakat Desa Riam Tinggi dalam penerapan Sapta Pesona. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Kuesioner disebarkan kepada wisatawan yang pernah mengunjungi Desa Riam Tinggi untuk berwisata dalam kurun waktu satu bulan terakhir, serta masyarakat Desa Riam Tinggi.
Fifth Generation Non-Standalone to Standalone Wireless Architecture Reconstruction Solution and Implementation: South Africa Context
Authors: Omar Ahmed S. , Ogudo KingsleyA.
Published: December 2023

The wireless mobile communication industry has evolved immensely over the past five decades, starting from the voice-centric 1G technology to the current data-centric 5G technology because of the increasing data traffic and the need for higher data speed rates. To provide the initial experience of 5G technology, many network operators worldwide started their deployment with the Non-Standalone (NSA) solution to mainly reduce the cost and time. 5G NSA solution already provides lower latency, higher network capacity, and bandwidth compared to the legacy network, however, there is growing oncern about its reliance on the 4G core network, capability, and the long-term migration plan to 5G Standalone (SA) network solution. This paper discusses a brief review of 5G evolution, standardization formulation, deployment strategies, security enhancement, challenges, and presents the reconstruction of 5G NSA to SA solution implementation. Furthermore, a 5G field test will be performed to analyze the user experience under the NSA NR in South Africa, and key practical challenges facing the South African MNOs from the perspective of business and technical challenges will be discussed with recommendations.
Reflections on Feature Engineering and Design Using Causal Machine Learning (CML) for African Swine Fever (ASF) Diagnosis
Authors: Lububu Steven , Kabaso Boniface
Published: December 2023

Feature engineering is a crucial step in the process of machine learning, where raw data is transformed into meaningful features that can effectively represent the underlying patterns and relationships in the data. The goal is to improve the performance of machine learning models by providing them with more informative and meaningful input features. Automated feature engineering techniques, such as genetic algorithms, can also be used to automatically generate and optimise features. These methods search a space of potential features and select or create features based on their impact on the model's performance. Overall, feature engineering plays a crucial role in machine learning by enabling models to exploit the most relevant and informative aspects of the data, thereby improving their accuracy, robustness, and interpretability. This paper reports empirical studies aimed at demonstrating which types of technical features are best suited to establish relationships between ASF viruses and clinical symptoms to accurately diagnose ASF disease. Various machine learning models such as neural networks, decision trees, random forests, linear regression, and Bayesian regression accept ASF features and provide predictions. The experiment demonstrates the extent to which the machine learning model can establish correlations between ASF viruses and clinical symptoms by independently analysing the required feature. The focus is on establishing relationships between ASF viruses and clinical symptoms for diagnosis. Data from the European Union Reference Laboratory for African swine fever (ASF) was collected for the study. This paper provides essential information on ASF datasets based on the interpretation of results obtained by using appropriate samples and validated tests in combination with information from laboratory tests on ASF disease epidemiology, scenario, clinical signs, and lesions caused by different virulence. The study proposes to use causal ML to establish relationships between ASF viruses and symptoms to improve the accuracy of the ASF disease. In this study, the performance and validation of the models were measured using metrics such as R-squared, mean absolute error (MAE) and mean square error (MSE).
Optic Disc and Vessel Segmentation in Retinal Images using Correlation Texture
Authors: Fatoki Olawuyi Olubunmi , Owolawi Pius Adewale , Mapayi Temitope
Published: December 2023

Globally, glaucoma has been recognized as the secondmost common reason for blindness. This affects the anatomy of the eyes, including blood vessels (BVs) and optic disc (OD). State-of-the-art literature has revealed that this disease is the root cause of degeneration in the OD, with some effects on the morphology of the BVs in the retina. These can result in total blindness if left untreated. Previous studies have shown that to effectively diagnose a disease, it is necessary to automatically detect the OD and the BVs with high accuracy in the fundus image. Segmentation of OD and BVs has, however, been challenging, due to the complex and poor segmentation performances. Such performances arise from the intricacies of vascular network width variation, illumination of images, and the structure of retinal images. Examples are retinal image boundaries on ODs and retinal lesions, due to disease. Hence the need for an investigation of the appropriate image feature(s) that will facilitate improvements to OD and BV segmentation performances. Texture is an important indicator used in image analysis for object segmentation. This work proposed the use of image-correlation texture information computational approaches for the segmentation of BVs, using variant window sizes; and OD using grayscale and green channel in the retinal images. This study revealed that the segmentation of BVs using variant window sizes (15x15) and (17x17) achieved high accuracy values of 95.11 per cent and 94.93 per cent; with accuracy values of 94.21 per cent and 93.98 per cent revealed in the DRIVE and STARE databases, respectively. Usually, sensitivity values of 74.84 per cent and 75.94 per cent, with average sensitivity values of 74.58 percent and 78.48 per cent, are achieved BV segmentation on the window sizes (15x15) and (17x17), indicated in DRIVE and STARE databases, respectively. Also, an average specificity value of 97.08 per cent and 96.77 per cent with average specificity values of 95.77 per cent and 95.18 per cent are achieved for BV segmentation on the window sizes (15x15) and (17x17), on DRIVE and STARE databases, respectively. Further, the segmentation of OD using grayscale achieved a slightly greater accuracy rate (98.59%) compared to the accuracy rate (98.36%) realized on green channel. This study also showed that the proposed approaches for BV and OD segmentation in this research achieved better results compared with several existing methods in the literature.
The Integration of Automated Business Models and the Participants within the Workforce in Implementing Digital Transformation
Authors: Mokoena Marphil , Baduza Gugulethu
Published: December 2023

As technologies are constantly evolving, businesses are seeking out different methods they could use to leverage their competitive advantage; however, there’s often the downside of innovation posing the risk of human replacement. Technological advances tend to decrease the need for additional human labour because autonomous systems can perform tasks without human intervention. This potentially threatens the job security of participants in the workforce. To help adopt the research concept of Automating Business Models, they’ll require buy-in from the workforce population. Acquiring the adoption of automated business models from the workforce will be essential for the business to facilitate Digital Transformation within their organisation, which is the context of this study. This study uses scoping review methods to analyse the existing literature to support and identify the key themes that impact digital transformation. The key themes identified are used to assist in the integration of automated business models with the Participants within the Workforce to facilitate Digital Transformation through several jobs, job quality, social protection, wages and income, social dialogue, and industrial relations. Technology is used to help automate business models to help innovate firms, business development is essential to compete with competitors and bring value to customers, industry life cycles explain the need to transform before firms become displaced digitally, firms should always aim to keep stakeholders satisfied to create value, and economic growth is necessary for the improvement of society’s standard of living.
Machine learning as a feedback tool for the gestalt principle of proximity
Authors: Haskins Bertram , Haskins Marna
Published: December 2023

When teaching students about the underlying structure of images, the Gestalt Principles are frequently used. Students and teachers may not always agree on the Gestalt Principles that an image contains, making assessment activities focusing on this topic very subjective. When working with large class sizes or when using multiple markers, this subjectivity becomes more problematic. A DBSCAN-based feature generation process and a multi-layer perceptron-based model are suggested in this study for categorising images as exhibiting the principle of proximity. When classifying images as containing aspects of proximity, the model displays a high level of accuracy. The model was integrated as a component of a larger process that alters the original input images to highlight areas that demonstrate proximity. The use of these annotated images can aid in giving students feedback. However, as the model was trained on a synthetic data set, its accuracy on real-world student submissions is yet to be tested.
An Exploration of Flow Control Using Machine Learning and Computational Fluid Dynamics
Authors: Cornfield Matthew , Bradshaw Karen
Published: December 2023

Although numerous studies relating to computational fluid dynamics and machine learning have been conducted in relation to automotive development, the majority focus on either early development using completed 3D models, or the final testing stages of development, or machine learning accelerated computational fluid dynamic simulations. While this approach is helpful in software development and simulation, it is not easily adaptable to automotive design where the final model is constantly changing and being modified. Consequently, the aim of this study is to propose a method for conducting computational fluid dynamics and machine learning concurrently to accelerate the development process. The proposed method is used to design and improve the aerodynamic efficiency of an object. The approach focuses on developing, implementing, and comparing machine learning models capable of generating optimised three-dimensional objects with the required geometry to direct airflow paths required in applications such as pressure generation, as needed for both active and passive flow control. The study concludes that both decision tree regression and long short-term memory (LSTM) autoencoder models could be used to optimise the aerodynamic efficiency of solid bodies, but that the LSTM autoencoder performs better overall. An undesirable effect of the shape optimisation is an overall reduction in shape size as optimization increases.
Measuring Misinformation Trends on Social Media in South Africa using Machine Learning
Authors: Mtsweni Jabu , Ndlovu Lungisani , Mthethwa Sthembile , Mkuzangwe Nenekazi
Published: December 2023

Misinformation, disinformation, malinformation, and/or fake news have gained attention for good and bad in South Africa, especially since the COVID-19 pandemic. The research-based and non-research-based interventions to tackle misinformation have also been slowly gaining traction, particularly through fact checkers, fake news reporting systems such as those by real411, research on automated systems to detect fake news online using machine learning, sentiment analysis of fake news, tagging of fake news data, and so on. Nevertheless, the spread of misinformation and/or fake news still represents a serious threat and challenge to social media platform owners, citizens, lawmakers, governments, and businesses alike. We hypothesized that the awareness, engagement, influence, and impact levels of misinformation on citizens, politicians, journalists, and lawmakers are relatively low, especially in South Africa. However, no sufficient research has been done in this area to understand engagements, awareness, and reporting of fake news online. This research uses open-source intelligence and selected machine learning techniques to analyse publicly collected social media data to monitor and measure the awareness and engagements of fake news in South Africa over a period of 30 days. The research further identifies key drivers of spreading or reporting misinformation online. We conclude that misinformation engagements on social media in South Africa are active, but only in affluent regions and influenced by mobile device users, who are mostly male. The study recommends further research that may support raising misinformation awareness and positive engagements on social media.
Smart Water Metering System (SWMS) Adoption: A Systematic Literature Review
Authors: Okoli Nwakego Joy
Published: December 2023

Water is fundamental for the economy and for our lives. Managing water scarcity remains one of the most pressing challenges across the globe. Smart Water Meter Systems (SWMS) are Internet of Things (IoT) innovations that have been around for over a decade and several studies on the use of smart water metering data for water management have been conducted. However, they are dispersed across various topics. For sustainable implementation of SWMS, it is necessary to review the existing practical adoption of the system. This paper is a review aimed at finding practical evidence on SWMS adoption by water utilities. A systematic literature review search of relevant databases was conducted using relevant search strings. Papers for the study were chosen based on predefined inclusion and exclusion criteria. The main findings of the paper show real-world examples of water utilities that have successfully implemented SWMS, the key benefits of SWMS, and the challenges to SWMS adoption. The study identifies areas where future research can be pursued to better realize SWMS's full potential in promoting sustainable water management.
Enhancing Grain Moisture Prediction with Artificial Neural Networks and Computational Fluid Dynamic
Authors: Kelvin Cubaka Birhakahwa , Tartibu Lagouge
Published: December 2023

Drying cereals is a vital process to reduce moisture content, enabling efficient storage. This study investigates the convective drying behaviour of cereals through numerical simulations and feedforward neural networks. Key parameters considered include temperature, ambient air speed, relative humidity, porosity, intrinsic permeability, density, thermal capacity, thermal conductivity, and initial relative humidity of stored grains. Training data were generated using numerical methods, solving heat and mass transfer equations based on Whitaker's model within COMSOL Multiphysics® 5.6. Simulation results reveal that moisture in cereals gradually equilibrates with the ambient environment, commencing from the exposed surfaces. The artificial neural network (ANN) demonstrates remarkable predictive accuracy using 100 data points, yielding an overall correlation coefficient of 0.99458 and a mean squared error (MSE) of 3.132 ×10-4. The combination of these two methods offers distinct advantages, with ANN saving computational time and numerical simulations not requiring initial samples. This combined approach proves promising for grain moisture prediction, though results must undergo rigorous validation to ensure reliability and accuracy.