bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Minat Pelanggan Terhadap Produk Pakaian Dengan Implementasi Algoritma Apriori (Studi Kasus Toko XYZ)
Authors: Rizkiyani Atik , Anwar Nizirwan
Published: July 2023

Toko XYZ adalah salah satu jenis usaha pakaian yang memutuskan setiap item pakaian yang akan disimpan di gudang. Namun, karena saat ini semua penjualan dan pembelian di Toko XYZ masih ditangani secara manual, dengan data penjualan yang dicatat di buku catatan.  Data penjualan produk akan terus bertambah dikarenakan adanya penjualan setiap harinya, sehingga kumpulan data yang terus meningkat dan semakin menumpuk. Untuk mempermudah pengolahan data diperlukan suatu metode pengolahan data baru yaitu data mining yang dapat memberikan informasi yang strategis dan akurat. Pada Data Mining mempunyai beberapa jenis metode sesuai dengan pemanfaatannya yaitu: prediksi, asosiasi, klasifikasi, dan klastering serta estimasi. Pada metode asosiasi memiliki beberapa teknik diantaranya algoritma Apriori. Berdasarkan hasil penelitian dengan analisis asosiasi rules menggunakan nilai minimum support sebesasar 0,8 dan minimum confidence sebesar 1.0, ditemukan beberapa pola yang signifikan. Secara keseluruhan, terdapat pola yang menunjukkan kombinasi yang sesuai antara beberapa produk pakaian yang lain dengan produk pakaian Dirayya.
Analisis Metode Weighted Product Pada Kategori Rumah Tidak Layak Huni Bagi Calon Penerima Bantuan Bedah Rumah
Authors: Pratiwi Putri , Dur Sajaratud , Syahputri Nenna Irsa
Published: July 2023

Tantangan bagi pemerintah daerah dalam melaksanakan pemberian bantuan perbaikan rumah adalah memutuskan siapa yang berhak memperoleh bantuan perbaikan rumah. Masalah ini dapat diatasi dengan membuat sistem peringkat yang efektif dan efisien untuk menerima bantuan perbaikan rumah. Dengan memakai metode weighted product (WP) diharapkan bisa meringankan, mempermudah dan memperlancar kinerja pemerintah daerah saat memilah kandidat penerima bantuan perbaikan rumah. Yang dilakukan metode ini adalah menentukan jumlah nilai dan kriteria yang ditentukan untuk setiap alternatif. Dihitung dengan sistem manual menggunakan 11 kriteria, hasilnya calon penerima berhak mendapatkan bantuan perbaikan rumah jika nilainya berkisar antara 0,044 sampai 0,052, namun jika nilainya berkisar di bawah 0,043 maka calon penerima akan ditinjau kembali tahun depan untuk program RTLH.
Melawan Sistem Keuangan dan di Balik Kehancuran Pasar Properti AS: Sebuah Kajian Moneter dalam Perspektif Islam
Authors: Azizah Syafitri Adriati , Sanjayawati Hilda , Silvi Dinillah Winda , Hartanto Prastya Irawan Dedy
Published: July 2023

Krisis properti yang terjadi di Amerika Serikat, ratusan berita juga sudah menjelaskan apa yang terjadi saat itu. Bencana runtuhnya keuangan Amerika Serikat melalui Pasar properti mendekat secara perlahan dan bertahap.  Obligasi aktif pada pinjaman hipotek tidak segera disusutkan hal ini terlihat dengan adanya beberapa runtutan penyebab tragedi keuangan. Pertama, pinjaman diharuskan untuk membayar dengan jumlah yang tidak tertahankan. Kemudian prosedur kebangkrutan telah dimulai setelah itu diikuti dengan properti peminjam yang pailit disiapkan untuk dijual.  Semua ini terjadi beberapa bulan saja (kondisi obligasi hipotek terjadi seperti penyakit lamat namun sangat berbahaya). Hal pertama yang harus dipahami ialah “leverage” yang merupakan biang permasalahannya. Hal kedua tentang historis kronologis yang diceritakan dalam film adalah penggunaan produk “Prime Mortgage”. Tiga puluh tahun yang lalu, sebagaimana film menceritakan bahwa investor hanya mempunyai peluang kecil terhadap investasi dan obligasi. Kemudian muncullah produk bernama “Prime Mortagage” Produk ini seperti kredit kepemilikan rumah. Orang-orang yang ingin membeli rumah bisa kredit kepada bank pemberi pinjaman.  Persoalan awal terjadi saat bank Investasi membeli (KPR) dengan harga yang sangat tinggi dengan harapan mendapatkan keuntungan serta bank mendapatkan pemasukan dari pembayaran angsuran oleh pemilik rumah. Namun bank menggunakan Leverage untuk membeli (KPR-nya).
Peran BAZNAS dalam Upaya Program Pati Cerdas untuk Meminimalisir Anak Putus Sekolah
Authors: Rohmah Khasanah Noer , Nurul Qomar Mohammad
Published: July 2023

Penelitian ini bertujuan Pertama, untuk mengetahui pendayagunaan dana zakat, infak dan sedekah yang dihadapi dan di kelola di BAZNAS Kabupaten Pati. Kedua, Pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk Program Pati Cerdas. Ketiga, untuk mengetahui apa saja problematik yang dialami ketika pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk Program Pati Cerdas. Keempat, bagaimana solusi dalam menghadapi kendala dalam pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk program Pati Cerdas. Jenis penelitian yang dipakai merupakan penelitian di lapangan, di mana penelitian ini dilaksanakan mendalam dan rinci bertujuan untuk mengumpulkan informasi melalui sejumlah informan secara langsung dan membuat laporan penelitian secara rinci. Sedangkan pendekatan yang dipakai peneliti yaitu pendekatan kualitatif-deskriptif. Penelitian dengan menggunakan metode kualitatif deskriptif. Hal ini dikarenakan untuk menjawab sebuah pertanyaan terkait dengan apa, di mana, kapan, siapa dan bagaimana kaitannya dengan peneliti terdahulu yang sudah dijelaskan. Peneliti deskriptif ini ditunjukkan guna mendapat sebuah informasi mengenai suatu situasi dan kondisi dalam suatu variabel. Hasil penelitian ini dapat disimpulkan bahwa Pertama, pendayagunaan dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk semua program sudah berjalan dengan baik yaitu dengan cara setiap programnya sudah dibagi dananya agar tidak mengganggu dana di program lain dan selalu ada pengecekan setiap bulannya untuk memastikan dan mengetahui dana keluar masuk tersebut digunakan untuk keperluan yang sudah direncanakan. Kedua, mengenai pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk Program Pati Cerdas sudah dilakukan dan diberikan tepat sasaran agar bisa membantu bagi masyarakat yang benar-benar membutuhkan. Ketiga, problematik yang dialami ketika pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk Program Pati Cerdas kurangnya informasi yang jelas ketika proses pendistribusian dilakukan dari pihak sekolah kepada penerima bantuan. Keempat, solusi dalam menghadapi kendala dalam pendistribusian dana zakat, infak dan sedekah di BAZNAS Kabupaten Pati untuk Program Pati Cerdas ini untuk ke depannya akan di realisasikan lebih baik lagi tentang masalah adanya ketidaktahuan diakan pendistribusian tersebut.
Penerapan Green Banking di Lingkungan Bank BJB Syariah Indonesia
Authors: Khodijah Siti , Iqbal Fasa Muhammad , Suharto Suharto
Published: July 2023

Isu-isu yang berkaitan dengan lingkungan, menjaga keseimbangan ekologi dan keberlanjutan ekologi telah menjadi topik diskusi di seluruh dunia. Organisasi dan konsumen telah memahami pentingnya lingkungan bagi kelangsungan hidup manusia, terutama dalam komunitas bisnis, yang memiliki kewajiban untuk mengintegrasikan perlindungan lingkungan dalam operasi bisnisnya. Industri perbankan saat ini harus mempertimbangkan aspek lingkungan dalam perilaku dan operasionalnya, yaitu green banking. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana penerapan green banking di lingkungan Bank BJB Syariah. Metode penelitian adalah analisis deskriptif kualitatif dengan menggunakan data sekunder. Hasil kajian menunjukkan bahwa bank BJB Syariah telah mengimplementasikan beberapa program green banking, yaitu: penerapan prinsip hijau dengan pembiayaan hijau, penggunaan air, kertas, pengolahan limbah.
Digitalization of Islamic Economics in 12 Aspects of Isomorphism: Indonesian Context
Authors: Nor Firman Rachmad
Published: July 2023

The digitalization of the Islamic economy can penetrate various aspects of the economy, both microeconomics and macroeconomics. Right now, the role of digital is extraordinary; almost all economies use information and communication technology or digitization, both in packaging products and in marketing products, making it easier and faster the distribution information used to make economic growth faster and without limits with the support digital technology and information technology. Information technology that has penetrated individuals (personal) can support the era of digitalization of information and communication in conventional economics and Islamic economics; this technology is now in the hands of gadget users, such as mobile applications, which can be downloaded and installed with features easily understood by users. Likewise, in the banking world, in carrying out its activities, Islamic banking cooperates with the information technology sector to build an Islamic banking information system by creating a special application (app) that can facilitate all transaction processes in banking. So, the formation of a digital society, one of which is the digital Islamic economy.
Strategi Penyaluran Pupuk Bersubsidi Di Kecamatan Wonotirto
Authors: Famela Okta , Prayudhi Luhur Aditya , Zamrodah Yuhanin , Widiyatmanta Jeka
Published: July 2023

Pupuk merupakan komponen penunjang pada sektor pertanian yang memilik peran yang terpenting untuk meningkatkan pertanian di Indonesia, hal ini terjadi karena petani menyadari bahwa peran pupuk sangat mempengaruhi pada hasil pertanian. Ketergantungan petani terhadap pupuk semakin besar pada saat pemerintah berhasil membangun pertanian melalui swasembada pangan. Kebutuhan akan produksi pertanian yang terus meningkat seiring dengan meningkatnya laju pertumbuhan penduduk, mengakibatkan kebutuhan akan pupuk juga semakin meningkat. Keadaan ini membuat para produsen pupuk harus berproduksi secara maksimal dengan tujuan untuk memenuhi kebutuhan pasar. Penelitian ini bertujuan dalam penjelasan strategi penyaluran pupuk bersubsidi di Kecamatan Wonotirto sehingga dapat membantu petani dalam hal penyediaan pupuk subsidi sesuai dengan keperluan petani dan sesuai yang telah di tetapkan pada RDKK (Rencana Definitif Kebutuhan Kelompok)
Uji Efefktivitas Jamur Entomopatogen Isolat Kebanggan, Karanggude, dan Pabuwaran Terhadap Hama Ulat Grayak (Spodptera frugiperda J.E. Smith) pada Tanaman Jagung
Authors: Nurtiati Nurtiati , Minarni Endang Warih , Shafira Yunita Khansa
Published: July 2023

Penelitian ini bertujuan untuk mengetahui pengaruh jamur entomopatogen isolat Kebanggan, Karanggude, dan Pabuwaran terhadap mortalitas larva Spodoptera frugiperda dan uji efikasi ketiga isolat jamur entomopatogen. Penelitian dilaksanakan di Laboratorium Perlindungan Tanaman Fakultas Pertanian Universitas Jenderal Soedirman, Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) non faktorial. Perlakuan yang diberikan, E0: dengan air steril, E1: dengan isolat Kebanggan, E2: isolat Karanggude, E3: isolat Pabuwaran, E4: insektisida sintetis (b.a emamektin benzoate+lufenuron) yang dikombinasikan dengan metode aplikasi K1: semprot dan K2: celup. Setiap perlakuan diulang tiga kali. Variabel pengamatan ialah, mortalitas larva dan efektivitas jamur entomopatogen, Hasil penelitian menunjukkan: Jamur entomopatogen isolat Kebanggan menyebabkan mortalitas 7% 4 HSP (Hari setelah perlakuan), Karanggude 3% 4 HSP metode penyemprotan, dan isolat Pabuwaran tidak menyebabkan mortalitas pada larva S. frugiperda. Nilai efikasi ketiga jamur entomopatogen, antara lain, isolat Kebanggan 7%, Karanggude 3%, Pabuwaran 0% metode aplikasi semprot, dan isolat Kebanggan 7%, Karanggude 7%, Pabuwaran 0% aplikasi celup.
Keragaman Lichen di Kawasan Wisata Alam Kandung Kabupaten Tulungagung
Authors: Widodo Gading Anom , Kartikasari Desi , Ichyaiddina Annisa Nayla , Pitaloka Dyah
Published: July 2023

Spesies lichen yang terdapat di kawasan wisata Alam Kandung Kabupaten Tulungagung belum teridentifikasi. Tujuan penelitian ini untuk mengetahui keragaman lichen yang ada di kawasan wisata Alam Kandung Kabupaten Tulungagung. Metode pengumpulan data yang digunakan adalah metode survey atau jelajah bebas yang dilakukan ditiga stasiun penelitian dengan ketinggian yang berbeda, yaitu 223 mdpl, 230 mdpl, dan 245 mdpl. Data hasil penelitian dianalisis secara deskriptif kuantitatif, disajikan dalam bentuk tabel dan gambar. Hasil penelitian diperoleh 6 spesies lichen yang termasuk dalam 5 famili diantaranya Flavoparmelia caperata, Caloplaca marina, Lepraria membranacea, Arthonia cinnabarina, Cryptothecia striata, dan Chrysothrix candelaris. Pengamatan yang telah dilakukan pada ketiga stasiun menunjukkan bahwa persentase penutupan lichen pada substrat kulit batang pohon menunjukkan nilai yang berbeda. Setiap spesies lichen pada masing-masing stasiun memiliki nilai prsentase penutupan di bawah 50%. Indeks keanekaragaman (H`) lichen di kawasan wisata Alam Kandung termasuk dalam kriteria sedang yaitu H’ sebesar 1,7. Hasil pengukuran faktor abiotik suhu udara di kawasan wisata Alam Kandung berikisar 31°C-32°C, kelembaban udara berikisar 73%-74%, pH tanah 6-7, dan intensitas cahaya 1300 lux. Kondisi ini masih sesuai dengan kehidupan lichen atau lumut kerak.
Uji Pemanfaatan Penggunaan Urine Kelinci Terhadap Pertumbuhan Tanaman Kailan (Brassica oleracea) Dengan Metode Penanaman Vertical Garden
Authors: Ika Paramitha Astrid , Mussa AM Muhammad , Hadi Pratiwi Anggraeni
Published: July 2023

Konsep Urban Farming merupakan pemeberdayaan perkebunan dari lahan terbuka maupun terbatas menjadi perkebunan hijau baik di pedesaan atau di perkotaan dengan tujuan jangka panjang. Kegiatan Urban Farming dapat mempermudah masyarakat dalam memperoleh kebutuhan pangannya. Dalam konsep urban farming juga mengenal istilah yakni, vertical garden. Di ruang lingkup Universitas Islam Raden Rahmat Malang, konsep Urban Farming dilakukan dengan pemanfaatan  vertical garden. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh interval pemberian pupuk urine kelinci terhadap pertumbuhan tanaman kailan (Brassica oleracea) secara vertical garden . Penelitian ini dilaksanakan mulai bulan April hingga Juni 2021 di Lahan dan Laboratorium Dasar Universitas Islam Raden Rahmat Desa Mojosari, Kecamatan Kepanjen Kabupaten Malang. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) dengan 4 perlakuan dan diulang  sebanyak 3kali. Analisis di penelitian ini mengunakan analisis of varians (ANOVA). Uji lanjutan dengan uji BNT (Beda Nyata Terkecil) pada tingkat signifikan tarif uji 5%. Hasil penelitian menunjukkan bahwa pemberian urine kelinci dengan interval 1 minggu 2 kali  (P2) mampu meningkatkan pertumbuhan tinggi tanaman, jumlah daun, luas daun, bobot basah dan bobot kering tanaman kailan.
Kata Kunci: urban farming, urine kelinci, tanaman kailan
Analysis of cholesterol and triglyceride levels in obese patients
Authors: Pratiwi Chalies Diah , Puspitasari Eka , Hermawati Andyanita Hanif
Published: July 2023

Obesity is excessive fat accumulation in the body. Continuous obesity and excessive food intake can cause metabolic system disorders in the form of hypercholesterolemia. Analysis of cholesterol and triglyceride levels in obese patients needs to be carried out to assist them in making healthier lifestyle changes. This study aims to analyze cholesterol and triglyceride levels in obese patients. The research method used is experimental with a laboratory approach. The samples to be analyzed were 20 obese people obtained by purposive sampling technique in the Tulungagung area. The research instruments used were height and weight check sheets and cholesterol and triglyceride test results sheets. Research data analysis technique by examining cholesterol and triglyceride levels using a MicroLab C-300 spectrophotometer and will be analyzed descriptively quantitatively. The results showed that 15 patients had normal cholesterol levels (75%) with criteria <200 mg/dl and 5 patients had high cholesterol levels (25%) with criteria >200 mg/dl, while there were 17 patients with normal triglyceride levels (85 %) with criteria <150 mg/dl and 3 patients had high triglyceride levels (15%) with criteria >150 mg/dl. The conclusion of this study is that people who are obese do not necessarily have high cholesterol and triglyceride levels. However, when a person weighs > 80 kg, it is recommended to start paying attention to a healthier lifestyle.
AN ANALYTICAL SURVEY OF ACCEPTABILITY AND VARIED VIEWS OF PARENTS FOR CONTINUOUS AND COMPREHENSIVE EVALUATION SYSTEM
Authors: Duhan Dr. Suman , . DR Kavita ,   BPS Women University,
Published: July 2023

CCE is a streamlined tool for providing a holistic profile of the learner through the use of appropriate tools spread over the total span of instructional time in the institution. It helps to identify every single aspect of individual personality including attitude, aptitude, inclination and preferences. It has been observed that parents are not fully aware about the concept and they have their own dilemmas. Hence, there is a need to identify the preparedness level of parents regarding implementation of CCE in the school systems so that they could be oriented towards CCE in an effective way. This study will assist the educational policy makers to address the concern of parents regarding the implementation of CCE and its impact in School system. In view of the above, investigator conducted a study regarding preparedness (perception, observation, knowledge, impact, awareness and opinion) of parents about continuous and comprehensive evaluation. The primary data was collected from the respondents (whose children are studying in 9th or 10th standard) through modified structured questionnaire (Nivedita and Manju, 2018) consistingquestions about six aspects of CCE implementation.The results found that Parents were not very well aware about CCE and its aspects. The study recommended thatthe strength and success of an educational system depends on a sound examination system which is necessary to determine the effectiveness of the dissemination of knowledge by all concerned stakeholders.
SIGN LANGUAGE RECOGNITION USING LSTM DEEP LEARNING MODEL
Authors:   B.E. Information Technology Graduate, SVIT,, Nitinchandra Patel Rutkumar
Published: July 2023

Speech impaired people use hand signs and gestures to communicate. The problem is translator needs every time to translate sign language. Artificial Intelligence capture hand expression with the help of camera show us what a person says and result shown in the text format. In the starting stage we provide the data for sign language for better result with good accuracy and testing this model. Various deepmachine learning algorithms are applied on the datasets, including Long Short-Term Memory (LSTM) RNN.
REVIEW OF PERFORMANCE MEASUREMENT ON SUPPLY CHAIN MANAGEMENT
Authors: Dixit Pooja , Kumar Yadav Tarun ,   Babulal Tarabai Institute Of Research and Technology Sagar
Published: July 2023

The purpose of this paper is to find out the extraordinary features of the public sector in developing nations and the impact of reforms in this sector. Describes the improvement and testing of a structured methodology for the design of performance measurement systems. It became clear that a good deal of the writing about performance measurement so far has been very superficial, neglecting the complexity involved in the actual design of measurement systems. Performance measurement is in the stage of identifying difficulties and pitfalls based totally on practitioner experience with some published research studies. This paper is aimed at small and medium businesses and large corporations and proposes a research agenda for the future. The results of the literature review expose a certain maturity of the literature pertaining to large companies and a significant lack of PMS for SMEs. It additionally discusses PMS in the context of an emerging enterprise environment such as globalization, servicing, and networking in the context of a multicultural environment. The place of PMS has been heavily researched and but some of the basic standards of PMS, especially the particular meaning and software of PMS characteristics, data, measurement residences including measurements, metrics and indicators, and size methods continue to be unclear.
DESIGN AND STRUCTURAL ANALYSIS OF UNDER-RUN PROTECTION DEVICE FOR HEAVY COMMERCIAL VEHICLES
Authors: Patil Omkar , Choudhari Rupesh , Patil Kaustubh , Waghmare Sainath , Bangar Gaurav ,   Fr. C. Rodrigues Institute of Technology
Published: July 2023

The Underride Protective Device (UPD) is a structure for absorbing the energy of collisions during an impact. It is essential to enhance the energy absorption characteristics of UPDs. The current project aims to design a good UPD for a heavy commercial vehicle that is effective enough to stop a passenger from falling under the rear of the truck and able to absorb a great deal of crash energy to attenuate accident severity. Also, an effective SUPD is designed to stop road users such as cyclists and pedestrians from falling under the wheels of a truck or trailer.
FGD (FLUE GAS DESULPHURIZATION) SYTEM -OVER VIEW
Authors:   Fluor Daniel India Private Limited, Santhanamarisamy Sasi kumar
Published: July 2023

Advantage of using dry FGD (FLUE GAS DESULPHURIZATION) System instead of the WET FGD System in terms of efficiency and cost-effective solution. Though, the high cost of expensive slaked/quick lime required as reagent in dry FGDs, considering the capital cost of the project and considering the Water saving (useful in the water scarcity area) the Dry FGD system shall be recommended.
APPLICATION OF STATISTICAL PROCESS CONTROL CHARTS: A CASE STUDY IN DAIRY INDUSTRY
Authors:   Tribhuvan University, Institute of Engineering, Thapathali Campus, Kathmandu, Nepal, Bahadur Bhandari Bhakta
Published: July 2023

Quality is a major part for entire industrial ecosystem when it comes to achieving, maintaining, and, improving the quality of products and services taking consideration of customer needs. Special causes responsible for controllable variations can be detected with the help of quality control charts-one of the quality management tools. Process can be improved by removing detected causes of variation bringing process under control. Statistical Process Control (SPC) Charts are quality control tools based on statistical principles which help to achieve quality of products by detecting special cause(s) of variation in the process involved. This paper incorporates a case study on application of Statistical Process Control (SPC) Charts tested at Sujal Dairy Pvt Ltd, Kathmandu, Nepal. Corresponding mean charts (Xbar charts) and range charts (R-Charts) represent data regarding quality variation for weight of milk pouch and SNF (Solid-Non-Fats) for both packaging machine 1 and machine 2. Results show that SNF variation for both machine and weight variation for machine 2 have been found to be under control whereas weight variation for machine 1 has been found to be out of control. Possible causes of variation have been grouped with the help of fishbone diagram and then compared with standard operating procedures for machine which led to detection of causes of variation. Finally, process has been better improved after removal of detected causes of variation bringing process under control.
PERFORMANCE ENHANCEMENT OF DWDMFSO SYSTEM UNDER DIVERSE WEATHER CONDITIONS WITH OPTIMIZED MODULATION FORMAT
Authors:   CT institute of Technology & Research, Parkash Sooraj , Banga Amita , Kumar Dinesh ,   CT institute of Technology & Research,   Torrens University
Published: July 2023

This paper is successfully demonstrating simulating comparison and investigation of 48 channels of dense wavelength division multiplexing free space optical (DWDM−FSO) network with a 10 GB/s data rate on each channel separated by 100 GHz frequency spacing under a clear sky, haze and light rain climate conditions. Apart from this, comparison of a series of modulation formats such as non−return to zero (NRZ), return to zero (RZ), carrier suppressed return to zero (CSRZ), Soliton pulse, and offset quadrature phase shift keying (OQPSK) have been performed and optimized the performance of the designed system with best suited modulated system. The performance of the proposed work has been evaluated in terms of bit error rate (BER), quality factor (Q), signal−to−noise ratio (SNR), received signal power and eye diagrams. It has been observed that OQPSK modulated system has shown more robust performance as compared to other line encoding techniques. The minimum simulation work reports for OQPSK modulated system have been recorded with the acceptable performance BER ≤ 10−10, Q ≥ 6 dB at the 2000 meters FSO link range.
A REVIEW ON BLUETOOTH LOW ENERGY ENABLED DOOR LOCKING SYSTEMS
Authors: Kumar N L Ujwal , S Vaishak , N Vinay , B Kavyashree , A S Vinutha ,   Vidyavardhaka College of Engineering
Published: July 2023

The Business market for smart phone applications using Bluetooth Low Energy (BLE) is constantly amplifying nowadays. The Bluetooth Special Interest Groups (SIG) expected that in future they will encounter more than 90 percent of all Bluetooth enabled devices which supports BLE systems. Bluetooth Low Energy is becoming progressively popular in smart phone applications due to the circumstance of using it for the proximity data. This project gauges the Bluetooth Low Energy in the context of using mobile applications to unlock a door automatically when an intruder approaches the door. Computations were performed to determine the reliability, signal strength, connection latency and energy consumption for the same. The hardware designed for this door lock system is the union of components like a Bluetooth module to act as a command agent, an android mobile phone which functions as the task master, an Arduino microcontroller to process the data or to operate as a control center and a solenoid as a output for the door lock system. All of the tests stipulated above will go according to the initial design of this research.This paper provides a insight on various available security system
2.4 G HZ MINIATURISED RECTANGULAR MPA WITH DEFECTED GROUND AND PATCH
Authors: Ravikiran HK , Jayanth J , Farheen H. S Naziya , Yogeesh GH ,   GSSS Institute of Engineering and Technology for Women,   Navkis College of Engineering
Published: July 2023

This study aimed to develop a miniaturised rectangular microstrip patch antenna with a resonance frequency of 2.4 GHz. In order to achieve this, an initial microstrip antenna's resonance frequency was shifted from 3 GHz to a lower frequency by employing a defective ground structure (DGS) with a triangular-shaped slot into the ground plane. Also Triangular ring slots used defect the patch to improve co- and cross-polarization separation. Finally, a successful downsizing of up to 28% along the length and 18% along the width of the patch is achieved compared to the traditional 2.4 GHz microstrip antenna. The findings of the experiments have been obtained using high-frequency structure simulator software (HFSS). The substrate used in this work is RT/ Duroid 5880, which has a dielectric constant of 2.2 and a thickness of 1.575 mm.
ANALYSIS OF ENERGY EFFICIENCY USING IED WITH SELECTION COMBINING IN PROPOSED CSS NETWORK OVER WEIBULL CHANNEL
Authors: Dameragidde Srinivas Rao , Aditya Mutnuri Krishna , Ponuganti Harshitha , Kunamalla Sathwika , Raj Padala Soumya ,   Kakatiya Institute of Technology and Science
Published: July 2023

In the Present Scenario, a message can be transmitted to the user, if the signal in which it contains must be efficient and accurate. There are many parameters like noise signals and unknown signals etc, which shows great impact on signal efficiency and its range. The removal of unknown signals is the primary objective in order to prevent loss of information from the signal. Unknown signals which causes disturbances in effective signal transmission are detected and its energy efficiency is compared before and after removal of unknown signals. This Research Paper mainly uses a Improved Energy Detector which consists of Cognitive nodes which helps the identification of unknown signals by applying various variations (i.e fading environment). Each nodes are subjected with some number of antennas. Probability functions are used to detect the false probability alarm signals which causes interrupts in the signal. Analysis of overall channel is done throughout the process of detecting and removing of unknown signals.
A FULL DUPLEX 5G WIRELESS COMMUNICATION SYSTEM USING NI USRP 2944
Authors: C Shyamala , LA Nithyashree , SJ Sushma ,   GSSSIETW
Published: July 2023

Full-duplex (FD) transmission is an emerging wireless technology that holds a great promise in improving the wireless throughput. The concept of fullduplex communication is simple. A single device can simultaneously transmit and receive on the same frequency channel. However, as the transmitted signal is many orders of magnitude stronger than the desired signal at the input of the receiver, it is extremely challenging to recover the desired signal and enable such a communication. In particular, the self-interfering (SI) signal needs to be suppressed by a factor of a billion to a trillion, requiring 90 − 120 dB of self-interference cancellation (SIC). Full-duplex wireless transceivers are typically operated over two concurrent half duplex channels, one for the transmitter (Tx) and one for the receiver (Rx). These half-duplex links have RF carriers separated in the frequency domain, namely using a TDD or Frequency Division Duplexing (FDD) scheme. This allows the receiver’s sensitive front-end to be isolated from the high power generated by the co-located transmitter. In this paper, a full duplex communication system is implemented using Universal Software Radio Peripheral (USRP) and interfaced to a system installed with LabVIEW software. IQ signals transmission scenario was applied and tested.
PROMOTING START-UPS AMONG STUDENTS BY IDEATION WORKSHOP
Authors:   NAHEP-IDP, Kulkarni Kiran , Puttannanavara Anila
Published: July 2023

Thirteen groups of students have started Start Up journey conceiving an idea to address specific problems of farmers. The main ideas include improved seed drills, weed management devices, harvesters, livestock feed, value addition to agri products, apps on labour management, etc. University of Agricultural Sciences, Dharwad has conducted ideation workshops under Institutional Development Plan of National Agricultural Higher Education Project. In order to encourage students to generate idea and develop a product/innovation to address the problems of farming community and other stake holders, ideathon workshop were conducted in all constituent colleges of UAS, Dharwad. The students were oriented about the process and design thinking concepts. Out of 70 student groups who have presented the idea for a specific problem of students, 35 groups have been short listed and 10 groups were successfully developed the prototypes. Among them, four groups have are at the stage of commercial production and registered as a private limited company. The impact assessment result revealed that the ideation workshops were useful in terms of building Entrepreneurship Skills, Self-Confidence and created opportunity to find solutions to the problems. The experience of students in product development revealed that 24.79 per cent students have learnt to design prototypes and 47.01 per cent expressed that they learnt to modify prototypes and make suitable changes. The overall benefit was expressed as high in building solutions by 52.14 percent of students, 49.57 percent gained confidence to startup and over 50 percent gained confidence to manage a startup. The major support expected by students includes financial assistance , moral support , laboratory and other techinical support. The overall benefit realize by students inicludes exposure to the idea development 26.50 percent understanding pros and cons of idea 32.48 percent and confidence building 64.96 percent. It is clear from the study that students can generate effective ideas for the problems of the farmers and other stake holders. There is need for facilitating and guiding the students in the startup journey. Ideation workshops serve as a first step in promotion of startups among the students
A WEB-BASED PLATFORM FOR IMPROVING LAND MANAGEMENT SYSTEM
Authors:   Air Force Institute of Technology, Kaduna, Nigeria, Calistus Dialoke Ikenna , Tooswem Apeh Simon , Paul Audu Henry Agbomemeh ,   University of Benin, Benin City, Nigeria
Published: July 2023

Most of the challenges associated with land and housing management especially in the developing countries are majorly attributed to various methods of managements. These challenges have resulted to poor record keeping and accountability, ownership conflicts, and economic losses. With the advancement in information system technologies such as web-based systems, satellite remote sensing, and mapping technologies, a modern management platform known as web-based management platform can be developed and employed to address land management challenges which have brought severe socio-economic problems. This webbased management system shall be built with the help some information and web technological tools; programming language, application server and web server. This management system shall ensure proper handling of land data/information and other major services associated with land. Hence, the implementation of this web-based platform will bring about great improvement in the field of land administration and management.
EFFECTS OF TWO BIO-PRESERVATIVES ON KEEPING QUALITY OF AFRICAN MUD CATFISH, CLARIAS GARIEPINUS
Authors: AWOSUSI AO , AKINWUMI FO , ADEYEMO AS ,   Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria
Published: July 2023

The study evaluated the effects of two commonly used household bio-preservatives, Sodium chloride and Ascorbic acid on the proximate and microbial compositions of smoked African mud catfish, Clariasgariepinus during a six weeks’ storage period. Fresh fish samples weighing 450-500g each obtained from the fish farm of the Department of Animal and Environmental Biology, Adekunle Ajasin University, Akungba-Akoko, Nigeria were degutted and cleaned with water. A group of fresh fish sample was soaked in a mixture of 25% NaCl and 1% ascorbic acid for 1hour and 30min and then prepared for smoking while another untreated batch served as the control. The samples were smoked dried in the smoking kiln at 80oC for 12hrs, cooled and packed in open and air tight containers in the laboratory for six weeks. The samples were then analysed for pH, proximate and microbial compositions at zero, two, four and six weeks respectively following standard procedures. There were significant differences (p≤0.05) between the treated and untreated groups. Pre-treatment of fish samples with a mixture of 25% NaCl and 1% ascorbic acid prior to smoking enhanced the keeping quality and stability of fish during storage.
AN OPTIMISED PHISHING EMAIL DETECTION AND PREVENTION USING CLASSIFICATION MODELS
Authors: Mohammed Usman Abdullahi , Sanusi Muhammad ,   University of Abuja, FCT, Nigeria
Published: July 2023

: The act of sending a fake e-mail to a user is known as phishing. It involves imitating a legitimate financial institution or organization in order to trick the recipient into providing their personal information. Due to the harmful effects of phishing emails, the development of classification models that can help identify and prevent fraudulent emails has been considered. Four of the most prominent models in the literature for analyzing phishing emails are K-Nearest Neighbor, Support Vector Machine, Random Forest and Nave Bayes. A model that combines three of the models with better performance metrics using 47 features was developed. It was tested against various existing models and performed well in comparison to them. Finally, the comparison analysis of the model is conducted to archive a realistic accuracy rate of 99 percent.
URBAN MOBILITY AND TRANSPORTATION STRATEGIES FOR SUSTAINABLE CITIES: A CASE STUDY IN KABUL, AFGHANISTAN
Authors: Maihan Regina , Öcalir Ebru Vesile ,   Gazi University
Published: July 2023

— In recent decades, the rates of urbanization, motorization, population growth, and population density have increased. Congestion has detrimental effects on the efficiency of transportation, as well as on travel times, air pollution levels, and fuel consumption. Kabul is the most crowded city in Afghanistan. Unrestrained urbanization and motorization often lead to a socially, economically, and ecologically unsustainable urban land use and transportation system. In developing nations, urban mobility systems are quite diverse, taking into consideration their components in terms of transport modes and the development path associated with urban expansion. As a case study, this article examines Kabul, the most populated and economically significant city in Afghanistan. This study starts by doing a literature review on sustainable transportation systems to help the reader comprehend the link between sustainable development and transportation. The article then assesses the present transportation and infrastructure system, national transportation regulations, and urban transportation initiatives to see whether the current paradigm is shifting toward or away from sustainable mobility. Furthermore, the principles for sustainable urban transportation are designed to determine the importance that national transportation policies have given to urban transportation from the standpoint of sustainable transportation. Finally, I proposed several public transportation alternatives and strategies for Kabul city, the implementation of which may result in a more sustainable urban development and transportation system in the future.
DETECTING ONLINE FAKE NEWS USING MACHINE LEARNING AND TOPOLOGICAL DATA ANALYSIS
Authors: Valerian Chinedum Agbasonu , Bethran Chibuike Amanze , A. Onyekachi Agbakwuru ,   Imo State University Owerri, Nigeria
Published: July 2023

The internet is rife with different types of disinformation openly available to the public. The spreading of accidental or malicious misinformation on social media, specifically in critical situations, such as real-world emergencies, can have negative consequences on our health, democracy and economy. This facilitates the spread of rumors on social media where users share and exchange the latest information with many readers, including a large volume of new information every second. However, updated news sharing on social media is not always true. Consequently, disinformation is rapidly being recognized as a global risk alongside terrorism, cancer and global warming. The increasing demand for fact checking at scale has stimulated a rapid development of automated solutions using technologies such as Natural Language Processing (NLP) and Machine Learning (ML) in order to reduce the required human effort. This paper will explore novel methods for automated fake news detection through the integration of two powerful approaches to data science, ML and Topological Data Analysis (TDA). The main strength of ML lies in its predictive power. Deep learning in particular has yielded some impressive practical successes in various text processing tasks. However, ML can fail in more exploratory talks aimed at understanding the nature of the data and uncovering its insights. TDA is a fairly new field that applies topology and geometry to analyze high-dimensional data and construct its compressed representation offering a more exploratory approach. This paper will explore how the strengths of those two fields can be integrated in order to create novel method for the analysis of text data, which will potentially lead to the creation of a state-of-the-art fake news detection model.
ML APPROACH FOR BRAIN STROKE PREDICTION USING IST DATABASE
Authors: Rohit A.P.V , Chowdary M.Umesh , Ashish G.B.S , Anitha V ,   Lendi Institute of Engineering & Technology, Sana Swaroop ,   Lendi Institute of Engineering & Technology
Published: July 2023

Stroke is one of the most serious diseases worldwide, directly or indirectly responsible for a significant number of deaths. Various data mining techniques are used in the healthcare industry to aid in the diagnosis and early detection of diseases. Current research considers several elements that lead to stroke. First, we examine the characteristics of those who suffer a stroke more often than others. The dataset is from a freely available source and various classification algorithms are used to predict the onset of a stroke shortly. Using the Naïve Bays and Decision Tree, it was possible to achieve an accurate percent. Using various statistical techniques and principal component analysis, we identify the most important factors for stroke prediction. We conclude that age, heart disease, average glucose level, and hypertension are the most important factors for detecting stroke in patients by using Machine Learning Approach.
IMPACT OF INDUSTRIALIZATION ON THE PHYSICO-CHEMICAL PARAMETERS OF THE AMI RIVER
Authors: Jahan Sarwat , Singh Ajay ,   Deen Dayal Upadhayaya Gorakhpur University
Published: July 2023

Rapid industrialization, along with other human activities, has had a negative impact on the environment in India. Major industries lack of insufficient effluent treatment facilities. It contributes to environmental degradation. Present study of the physicochemical analysis of Ami River. Samples were collected from GIDA sector-13, Gorakhpur. Physicochemical parameters were studied one year 2020- 2021. All parameters reported less or more than standard permissible limits of CPCB and WHO. pH reported 8.5 to 8.85. Temperature 32° C in summer, color brownish black and brown in site-1 and site-2, odor, pungent smell recorded site-1 and site-2, turbidity 48 NTU in summer, EC 111.1 µmhos/cm2 in rainy season, TSS 1300 mg/L, TDS 597.56 mg/L, free CO2 12 mg/L, DO 2.0 mg/L in summer, BOD 1167 mg/L in winter, COD 1063.5 mg/L, in summer, very higher than permissible limit. The value found above 0.5 has been highlighted and considered the relationship study. The correlation analysis is identified that EC, COD, BOD, CO2, turbidity, TSS, alkalinity, observed higherlevel correlation with water quality parameters in all seasons. These studies prove that the river is carrying a heavy load of organic waste that exceeds its dilution, self purification capability. High anthropogenic activities, improper sanitation and direct discharge of effluent by industrial and domestic sewage that is finally altered into the below class E- categories water
ESSENTIAL SECURITY DESIGN AND IMPLEMENTATION IN CLOUD COMPUTING
Authors:   Karpagam Academy of Higher Education, Coimbatore, Subbareddy Ramakrishna , Begam Dr. Firdaus ,   Karpagam Academy of Higher Education, Coimbatore
Published: July 2023

Cloud computing is a provision structure of online computer service on request and pay per use access to shared resources such as servers, storage, networks, applications, and resources virtual access. Cloud computing is entirely dependent on the internet technology in which client data is stored in data cloud provider center like Google, Amazon and Microsoft etc. This paper presents the computer history of cloud and service models, as well as the security issues and challenges of cloud computing, and discusses cloud computing privacy and explains current laws to protect data and guidelines around the world. Designing a secure virtual cloud path equipment and websites using open-source software (OpenStack) and explain the recommended tips that should always be followed by cloud protection according to the intended categories
PRACTICAL CLASSIFICATION TEMPLATE FOR DATASETS IN MACHINE LEARNING
Authors:   HKBK College of Engineering, Idris Syed Mohammed
Published: July 2023

In this work, different Machine Learning (ML) algorithms are used and evaluated based on their performance of classifying peer reviewed content of the dataset provided. The ultimate objective is to extract meaningful information from the classification of the given dataset. In pursuing this objective, the ML techniques are utilized to classify different datasets into: Validation Dataset and Test Dataset. The ML techniques applied in this work are Logistic Regression, Support Vector Machines, Naïve Bayes, Linear Discriminant Analysis, KNearest Neighbor, and Decision Tree. In addition to the description of the utilized ML algorithms, the methodology and algorithms for classification using the aforementioned ML techniques are provided. The comparative study based on six different performance measures suggests that - with the exception of Support Vector Machines algorithm - the proposed ML techniques with the detailed pre-processing algorithms may or may not work well for classifying the iris flower dataset.
CROP RECOMMENDER SYSTEM
Authors: Sai Samhith Shivanoori , Rajinikanth Dr. T. V. , Kavya Burma , Sai Krishna Alley Yashwanth
Published: July 2023

The development of farming techniques improved food supply to the nation's GDP and made it simpler for farmers to grow the precise and suitable crop without any risk or loss in productivity. Agriculture is important to human existence and livelihood because it has become a necessary and crucial part of our daily lives. To maintain the sustainability in rate and quality of production, we need to involve and introduce the best portable and noncomplex strategies such as machine learning tools to carry on the needed operations and procedures to get desired and expected crop by coordinating and initiating data exchange between the scientific and practical platforms which is the trending existing system. The idea behind this project, called the crop recommendation system, is to define and state that the appropriate crop should be grown based on a number of relative parameters, including soil features like nitrogen, phosphorus, and potassium that are extracted from the soil through filtration, and weather conditions that are embedded in a dataset in the form of structured data. This dataset is taken over by machine learning algorithms that will perform some operations like classification and will be finding the accuracy where in detail to be explained we will be splitting the given dataset into training and testing data and compare the results of those algorithms based on accuracy that each model gives and that will be our preferred algorithm. Along with a few dimensionality reduction techniques including PCA, LDA, andcross validation, we applied machine learning techniques like Decision Tree, Random Forest, and KNN.
THE USE OF BIG DATA ANALYTICS TO IMPROVEDECISION MAKING IN COMPANIES
Authors: Pradhan Yash H , H Sagar Urvashi ,   Mumbai
Published: July 2023

This research paper explores the use of big data analytics to improve decision-making in companies. The paper begins with a comprehensive literature review that defines and examines the evolution of big data analytics, identifies theoretical frameworks for big data analytics and decision-making, and highlights the benefits and challenges of using big data analytics in decision-making. The research then utilizes a mixedmethods approach that combines expert interviews, case studies, and surveys to further explore the use of big data analytics in decision-making in companies. The findings from the literature review and empirical research demonstrate that big data analytics can significantly improve decision-making by providing businesses with timely and accurate insights, enhancing collaboration and communication, and facilitating more informed and data-driven decision-making. However, the research also highlights the importance of addressing the challenges associated with the adoption of big data analytics, such as data privacy and security concerns and the need for specialized skills and infrastructure. The research concludes with a discussion of the implications for theory and practice, as well as recommendations for future research. Overall, this research paper provides valuable insights into the use of big data analytics as a strategic tool to improve decision-making in companies