bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of gender-based violence in university nursing students: Multi-centric Mexican study
Authors: Torres Lagunas María de los Ángeles  , Vega Morales Elsy Guadalupe  , Cortés Escarcega Irma  , Pagola López Laura Yolanda  , Arenas Montaño Guillermina  , Ávila Lara Magdalena
Published: December 2022

Introduction. This study provides crucial information from seven Mexican educational institutions about the experience of gender violence experienced by nursing students during their university education that has not been emphasized in the Mexican scientific literature. Its purpose is to develop an educational strategy to prevent violence in nursing. Objective: To compare the prevalence of gender violence and its characteristics, experienced in the university environment by nursing students from seven Mexican educational entities. Method: Cross-sectional quantitative design, based on the construction and validation of a multidimensional content instrument to measure perception, attitudes, knowledge, and gender-based violence in nursing university students in Mexico that was self-administered online. The 1345 sample was calculated with a confidence level of 0.95% and a probability of 0.5%. The selection was by non-probabilistic convenience sampling. The data were processed in SPSS-21 statistical software and analyzed using descriptive statistics. Informed consent was requested for risks, benefits, and data protection. Approved by the research and ethics committees of the various universities. Results: The prevalence of gender violence in university nursing students is moderately high (49.3%) with high typologies. Physical (76.7%) and sexual violence (64.61%) predominated. Violence is experienced both in the classroom and in clinical practices, with college colleagues being the main perpetrators, especially affecting the emotional health of the victims: stress, depression, anguish, and low self-esteem. By educational institution, the highest prevalence level was obtained by the UADY, 61.05%, followed by the FESZ, 53.13%, and the UV, 51.22%. There is a lack of knowledge among the students of the presence of a department that provides services, 73.5%, and of the protocol for the care of gender violence, 64%. Discussion. Consistency was found in the results of this study regarding the high prevalence of gender violence in the international context. As is the high persistence of sexual violence, as is the case of nursing students in Taiwan, Nigeria, Brazil, and Ecuador, perhaps due to the common denominator of the highest percentage of female students, which shows that a good percentage of Nursing student women in different spaces and moments have gone through an act of sexual assault or harassment. Conclusion. In general, the prevalence of gender-based violence in Mexican nursing schools is moderately high with high typologies. Future research should provide strategies to counteract this problem. The universities must propose policies and legislation also in the clinical environments of the students.
Physicochemical characterization of two agricultural wastes for the formulation of animal feeds
Authors: Yete Pélagie  , Mahunon Reine  , Togbe Alexis  , Ehinnou Casimir  , Wekpon Honorat  , Ahlonsou Daniel  , Aina Pépin  , Wotto Valentin
Published: December 2022

Waste management is a major problem to which the agricultural and food industries must find solutions. The latter use pineapple in most of the processes for the manufacture of fruit juices. These processes result in tons of waste that are often abandoned on dumps near the processing plants, polluting the water table and the quality of surface water after drainage by rainwater. Our study therefore proposed to find an efficient solution to this problem by valorizing agro-industrial pineapple waste in animal feed. Thus, the physicochemical parameters of pineapple peelings and soybean cakes were determined following protocols of French standards. From the results obtained, it appears that pineapple peelings are rich in fermentable sugars, especially cellulose, a source of energy (34% DM) but poor in total nitrogenous matter (6.86%). As feed is a source of protein, soybean meal was added to pineapple peels for enrichment in total nitrogenous matter. The characterized soybean meal showed that it contains 33.46% of total nitrogenous matter. A more complete characterization of the formulated feeds will have to be carried out for their better use in animal feed.
Small RNA interfering effects in chicken embryonic fibroblasts using two sites 8664/p201 and 2122/pll3.7 of chicken s1p1/edg 1 gene
Authors: Karamo Touré  , Cé Camara  , Taliby Dos Camara  , Ye Jun
Published: December 2022

Introduction: Currently, short interfering RNA (siRNA) is an experimental tool in molecular biology to study gene function in cell culture and in vivo in model of organisms (mouse and chicken embryos, etc.) Method: Lentivirus production technique by human embryonic kidney 293T cell lines (HEK293T) with two (2) sites 8664/P201 and 2122/Pll.3.7 of the sphingosine 1 phosphate receptor gene and endothelial differentiation 1 gene (S1P1/ Chicken EDG1) was used to show the effects of small interfering RNA in chicken embryonic fibroblasts during embryogenesis. After preparation of plasmids 8664/P201 and 2122/Pll3.7, lentivirus packaging, transfection with 2xHBS, virus titration and chicken egg preparation, microinjection of lentivirus was performed in the embryos chicken. Results: The results obtained after the microinjection of lentivirus into chicken embryos from the second day to the fourth day of incubation showed the effects of small interfering RNA in the embryonic development of chicken materialized by bleeding in the yolk sac of embryos therefore a decrease in gene function. Conclusion: Previous studies have already proven that expression of small interfering RNA decreases in embryos of certain vertebrates such as mammals.
Computational study on gabapentin as a potential therapy for partial seizures
Authors: Shakira  , Anam Ilyas  , Laiba Anwar  , Anwar Habib  , Najmussehar  , Shagufi Nazar  , Ozair Alam  , Nadeem Siddiqui
Published: December 2022

US Food and Drug Administration (USFDA) approved gabapentin as an adjuvant treatment for refractory partial seizures and several diverse disorders. The drug has a relatively safe profile and is well tolerated; however, awareness is required to monitor the patient's medication, its misuse, and how to approach better patient fate. Despite the enormous scientific hypothesis encircling the drug, there is a requisite to research further about the novelty of the drug. The review delineates the drug profile, synthesis, pharmacology, ADME properties, and computational study of gabapentin.
Metsäalan kehittämisen alueelliset tulkinnat
Authors: Salmivuori Emmi
Published: December 2022

Metsiin liittyvän toimijakentän monipuolistuminen ja metsäalan rakennemurros näkyvät kansallisen metsäpolitiikan pyrkimyksissä edistää metsäalan uudistumista ja monipuolistumista. Suomessa metsäteollisuuden suuryritysten historiallinen asema metsäpolitiikan keskiössä on säilynyt vahvana, ja metsiin perustuva polkuriippuvuus on nähty maaseutualueiden kehityksen ongelmana samalla, kun metsäteollisuutta on arvosteltu uusiutumiskyvyttömyydestä ja vaihtoehdottomuudesta metsien käytön suhteen. Samalla metsäalan uudet innovaatiot, toimintaympäristön muutoksiin sopeutuminen ja metsien käyttöön liittyvien uusien arvojen ja intressien huomioiminen on nähty edellytyksenä metsiin perustuvien elinkeinojen kehitykselle.
Alueellisissa metsäohjelmissa esiintyville kehittämistavoitteille tehdyn dokumenttianalyysin avulla tunnistettiin neljä rinnakkaista ja lomittaista kehityspolkua, jotka ovat metsäsektorin perinteisten funktioiden turvaamisen polku, kasvavan metsäteollisuuden polku, vahvojen alueellisten yritysten polku ja uusien kokeilujen polku. Vaikka metsäalan perinteisten tuotteiden, toimijoiden ja toimintatapojen turvaamiseen tähtäävät tavoitteet ovat alueellisissa metsäohjelmissa voimakkaasti esillä, löytyy ohjelmista myös pyrkimyksiä paikallisen metsiin perustuvan yrityskannan vahvistamiseksi sekä aivan uusien, myös perinteisen metsäalan ulkopuolelle asettuvien tuotteiden ja elinkeinotoimintojen edistämiseksi. Usein tähän vaikuttavat paikallinen yrityskanta, alueella saatavilla oleva metsäalaan liittyvä koulutus ja tutkimus sekä metsäteollisuuden alueellinen merkittävyys. Alueellisiin vahvuuksiin ja erityispiirteisiin perustuvan erilaistumisen edistäminen voisi tukea metsäalan uudistumista ja monipuolistumista. Kriittiseen asemaan saattaa kuitenkin asettua puun ja metsien riittävyys kiristyvässä kilpailussa eri toimijoiden ja tuotteiden kesken, sekä alueiden kyky tunnistaa ja tukea aluespesifejä vahvuuksiaan ja mahdollisuuksiaan metsiin ja metsien käyttöön liittyen.
Use of the First Dorsal Metacarpal Artery Flap in Finger Defects – Case Series
Authors: Uyar Ilker , Basol Tunahan Berk
Published: December 2022

Amaç: Bu çalışmanın amacı, parmaklardaki yumuşak doku defektlerinde FDMA flep kullanımının çok yönlülüğünü değerlendirmektir.
Hastalar ve Yöntemler: Mayıs 2018-Mayıs 2021 tarihleri arasında üst ekstremitede yumuşak doku defekti sebebiyle rekonstrüksiyon yapılan hastalar dosya üzerinden tarandı. Bu hastalardan parmakta defekti olan ve birinci dorsal metakarpal arter flebi ile rekonstrükte edilen hastalar çalışmaya dahil edildi. Bulgular: 12 hasta çalışmaya dahil edildi. Defektin etiyolojisi tüm hastalarda travma idi. Flep adaptasyonu için 5 hastada tünel açma tekniği kullanıldı. Hiçbir hastada total flep veya greft kaybı yaşanmadı. Komplikasyonlar açısından yaş, cinsiyet, komorbidite, defekt lokalizasyonu, defekt boyutu ve operasyon süresi incelendi. İstatistiksel olarak anlamlı bir fark saptanmadı. Sigara içenler ve içmeyenler incelendi, istatistiksel olarak anlamlı fark bulunmadı. Flep adaptasyonu için tünel kullanımı komplikasyon açısından istatistiksel olarak anlamlı bir fark yaratmadı.
Sonuç: Birinci dorsal metakarpal arter flebi 1. ve 3. parmaklardaki defektlerde oldukça güvenilir bir seçenektir. Tünel tekniği kullanılıyorsa tünel genişliğinin yeterli olduğundan emin olunmalıdır.
Efektivitas Layanan Konseling Individu dalam Menghadapi Anak Broken Home di SMA N 1 Tebing Tinggi
Authors: Aini Nur Aini
Published: December 2022

Penelitian ini bertujuan untuk melihat dan mendeskripsikan efektivitas layanan konseling individu dalam menghadapi anak broken home di SMA Negeri 1Tebing Tinggi. Penelitian ini menggunakan jenis penelitian kualitatif dan menggunakan subjek yang disebut informan yaitu guru BK, dan tiga orang siswa yang mengalami broken home. Penentuan tiga orang siswa diambil berdasarkan hasil wawancara dengan guru BK yang benar-benar mengalami kondisi broken home dan berdampak pada kehidupan sehari-hari. Adapun hasil penelitian ini ini menunjukkan bahwa terdapat efektivitas layanan konseling individu dalam menghadapi kasus anak broken home, hal ini dilihat dari perilaku anak antara sebelum dan sesudah mengikuti kegiatan konseling.
Sebelum mengikuti konseling terdapat berbagai permasalahan yang dialami anak sebagai dampak dari broken home, seperti kesulitan mengontrol emosi, insecure dan kehilangan self confident,kehilangan minat belajar sampai kesulitan bersosialisasi dengan lingkungannya. Adapun perubahan perilaku setelah mengikuti layanan konseling individu,terdapat perubahan perilaku yang cukup signifikan. Hal ini dibuktikan dengan wawancara yang dilakukan kepada siswa, serta pihak terdekat siswa seperti wali kelas yang mengakui bahwa adanya perubahan perilaku siswa setelah mengikuti konseling individu secara berkala dan konsisten.
PELAKSANAAN TEORI JOHN HOLLAND UNTUK KEMATANGAN KARIR SISWA DI SMK DWI TUNGGAL TANJUNG MORAWA
Authors: Agustin Mia
Published: December 2022

Abstrak

Kematangan karir adalah keberhasilan individu untuk menyelesaikan tugas perkembangan karir yang khusus bagi tahap perkembangan  tertentu. Rumusan masalah dari penelitian  ini adalah 1. Bagaimana tingkat kematangan karir siswa di SMK Dwi Tunggal Tanjung  Morawa? 2. Apa saja faktor-faktor yang mempengaruhi kematangan karir siswa di SMK  Dwi Tunggal Tanjung Morawa? 3. Bagaimana  pelaksanaan teori John Holland untuk kematangan karir siswa di SMK Dwi Tunggal Tanjung Morawa?

Jenis penelitian yang peneliti gunakan dalam  penelitian ini adalah penelitian kualitatif. Adapun  metode yang peneliti gunakan adalah  metode deskriptif. Adapun subjek penelitian ini adalah  informan yang dapat dijadikan sumber untuk mendapatkan informasi terkait dengan  judul penelitian ini adapun yang menjadi subjek dalam penelitian ini adalah Kepala Sekolah, Guru BK, dan Siswa.

Hasil  penelitian  ini menunjukkan bahwa faktor yang mempengaruhi kematangan karir siswa ialah faktor dukungan orang tua siswa, faktor layanan yang di terapkan dan keseriusan siswa dalam  menekuni minat atau karir yang di inginkan. Pelaksanaan teori John Holland  menunjukkan adanya perkembangan tingkat kematangan karir siswa ketika selesai melakukan bimbingan karir dengan  menggunakan teori John Holland. Siswa lebih paham dan mengetahui bakat dan minat mereka sesuai dengan kepribadian yang mereka miliki.

Kata Kunci : Kematangan Karir, Teori John Holland
PERAN GURU BK DALAM MEMBANTU PERENCANAAN PENGEMBANGAN KARIER SISWA MELALUI LAYANAN INFORMASI
Authors: Pratama Angga
Published: December 2022

mengkaji tentang Peran Guru BK dalam membantu perencanaan pengembangan karier siswa melalui Layanan Informasi. Penelitian ini dilatar belakangi oleh banyaknya peristiwa siswa yang salah memilih jurusan dan tidak tau memilih karier yang tepat bagi dirinya. Peneliti juga melihat ketika observasi di sekolah SMA Negeri 1 Binjai terdapat beberapa siswa yang bingung dalam menentukan pilihan kariernya bahkan kebanyakan dari mereka masih tidak memahami potensi yang dia miliki. Penelitian ini bertujuan untuk mendekripsikan tentang perencanaan pengembangan karier siswa dan upaya guru BK dalam memberikan layanan Informasi Bidang Karier pada siswa di SMA Negeri 1 Binjai. Pendekatan yang digunakan adalah pendekatan deskriptif dan merupakan penelitian kualitatif, dengan mengambil latar SMA Negeri 1 Binjai. Pengumpulan data dilakukan dengan mengadakan observasi, wawancara dan dokumentasi. Analisis data yang dilakukan yaitu dengan menelaah seluruh data, mereduksinya, menyajikan dan menyimpulkan data yang ada.
LAYANAN INFORMASI DALAM MENINGKATKAN KEMAMPUAN PERENCANAAN KARIR PADA SISWA KELAS XII SMK MULTI KARYA MEDAN
Authors: Manik Tya Lolita
Published: December 2022

Penelitian ini bertujuan untuk mengetahui tingkat kemampuan perencanaan karir pada siswa kelas XII SMK Multi Karya Medan sebelum dan sesudah diberikan layanan informasi tentang karir. Dengan adanya informasi yang cukup mengenai karir, diharapkan siswa dapat merencanakan karir yang matang.

Penelitian ini menggunakan metode penelitian kuantitatif dengan menggunakan desain penelitian yaitu desain kuasi-eksperimen. Eksperimen dilakukan dengan maksud untuk melihat akibat dari suatu perlakuan. Oleh karena itu, dalam penggunaan desain eksperimen penelitian ini menggunakan pre-test dan post-test. Populasi penelitian ini adalah siswa kelas XII SMK Multi Karya Medan yang berjumlah 315 siswa. Teknik sampling yang digunakan adalah non random sampling di mana sampel adalah siswa yang memiliki tingkat perencanaan karir yang rendah dari hasil pre-test dan yang terpilih hanya 10 orang. Metode pengumpulan data dalam penelitian ini adalah angket, wawancara dan observasi. Validitas instrumen menggunakan rumus product moment. Realiabilitasnya menggunakan rumus alpha cronbach. Sedangkan analisis data menggunakan analisis uji paired t-test.

Hasil penelitian ini menunjukkan bahwa layanan informasi dapat meningkatkan kemampuan perencanaan karir pada siswa kelas XII SMK Multi Karya Medan. Terdapat perubahan yang signifikan dalam meningkatkan perencanaan karir yaitu 0.000 < 0.05 dengan diberikan layanan informasi karir sebelum dan sesudah kepada siswa.
Kata Kunci : Layanan Informasi Karir, Kemampuan Perencanaan Karir Siswa
PELAKSANAAN HOME VISIT GUNA MENGETAHUI KENDALA BELAJAR SISWA PADA MASA PANDEMI COVID 19 DI MTS ALWASLIYAH PERDAGANGAN
Authors: Azmi Fadia Nurul
Published: December 2022

Kendala belajar atau kesulitan belajar adalah kegagalan dalam mencapai tujuan belajar, ditandai dengan prestasi belajar yang rendah. Penelitian ini dilaksanakan berdasarkan latar belakang yang ada di MTs Al Washliyah Perdagangan yang menunjukan terdapat beberapa siswa yang mengalami kendala belajar pada saat pembelajaran daring. Adapun tujuannya yaitu untuk mengetahui 1) Kendala belajar siswa 2) Pelaksanaan home visit dan faktor pendukung dan penghambat pelaksanaan home visit 3) Hasil belajar siswa setelah pelaksanaan home visit. Subjek dalam penelitian ini adalah kepalah sekolah, guru BK dan guru mata pelajaran dan siswa di MTs Al Washliyah Perdagangan. Metode pengumpulan data yang digunakan yaitu
wawancara, observasi dan dokumentasi. Hasil penelitian ini menunjukan bahwa banyak kendala belajar yang dialami siswa di masa pandemic covid 19 di MTs Al Washliyah Perdagangan yaitu kurang maksimal materi yang disampaikan oleh guru menyebabkan siswa sulit memhami materi, sarana belajar daring yang tidak memadai. Adapun tahapan-tahapan yang dilakukan oleh guru BK pada saat pelaksanaan home visit yaitu: 1) Tahap perencanaan. 2) Tahap pelaksanaan. 3) Evaluasi dan analisis. 4) Tindak lanjut. 5) Menyusun laporan. Hasil belajar siswa MTs Al Washliyah Perdagangan setelah pelaksanaan homevisit Siswa semangkin mudah dalam menerima pembelajaran karena ada kesempatan berinteraksi langsung dengan
guru bapada saat home visit. 

Kata kunci : Kendala belajar, Home visit, Pandemic covid 19
EFEKTIVITAS TEKNIK MODELING UNTUK MENGURANGI KEJENUHAN BELAJAR ONLINE SISWADI MTs. NURUL HIKMAH AEK GERGER SIMALUNGUN
Authors: Hajijah Hajijah
Published: December 2022

Kejenuhan belajar adalah suatu kondisi mental seseorang saat mengalami rasa bosan
dan lelah yang amat sangat sehingga mengakibatkan timbulnya rasa lesu tidak bersemangat atau hidup tidak bergairah untuk melakukan aktivitas belajar. Tujuan penelitian ini adalah untuk mengetahui: 1) Tingkat kejenuhan belajra online siswa di MTs Nurul Hikmah Aek Gerger Simalungun. 2) keefektifan teknik modeling di MTs Nurul Hikmah Aek Gerger Simalungun. 3) Faktor Pendukung dan Penghambat belajar online siswa di MTs Nurul Hikmah Aek Gerger Simalungun. Jenis Penelitian ini adalah penelitian kualitatif dengan metode naturalistik inquiryuntuk mengurangi kejenuhan belajar online siswa di MTs. Nurul Hikmah Aek Gerger Simalungun. Subyek penelitiannya yaitu guru BK, guru mata pelajaran dan siswa. Sumber data pada penelitian ini adalah data primer dan data sekunder. Teknik pengumpulan data
menggunakan wawancara, observasi, dan dokumentasi sedangkan analisis data menggunakan reduksi data, display data, dan komposisi data. Untuk pengujian keabsahan data menggunakan triangulasi data. Hasil penelitian ini adalah :1) kejenuhan belajar online terjadi karena fasilitas yang tidak memadai dan jaringan yang tidak mendukung. 2) ke efektifan teknik modeling dapat dilihat dari usaha guru BK dalam memberikan layanan bimbingan konseling dan perubahan yang ditunjukan oleh siswa. 3). Faktor pendukung belum memadai sehingga menjadi faktor  penghambat belajar online. 

Kata Kunci: Teknik Modeling, Kejenuhan Belajar Online

 
EFEKTIVITAS LAYANAN KONSELING KELOMPOK UNTUK MENINGKATKAN KEMAMPUAN PENYESUAIAN DIRI SISWA KORBAN BROKEN HOME DI SMA NEGERI 1 DOLOK MERAWAN
Authors: Siswita Fani
Published: December 2022

Penyesuaian diri merupakan kemampuan individu untuk mengatasi hal-hal baru yang
membangun hubungan yang lebih baik dan serasi antara individu dengan lingkungan
sekitarnya. Siswa korban broken home cenderung memiliki motivasi belajar yang rendah, kurangnya disiplin remaja dan meningkatnya kenakalan remaja. Penelitian ini dilaksanakan di SMA Negeri 1 Dolok Merawan. Penelitian ini dilakukan untuk mengetahui efektivitas layanan konseling kelompok untuk meningkatkan kemampuan penyesuaian diri siswa korban broken home di SMA Negeri 1 Dolok Merawan. Penelitian ini menggunakan metode kuantitatif eksperimendengan desain penelitian Quasi Experimental Designdan modelnya menggunakanNonequivalent Control Group Design. Populasi penelitiannya adalah 16 siswa dan sampelnya adalah 14 siswa yang dipilih dengan teknik purposive sampling. Metode pengumpulan data yang dilakukan melalui angket dan observasi. Pengujian hipotesis dalam penelitian ini menggunakan uji Paired Sample T-Test. Hasil perhitungan dari uji Paired Sample T-Test diperoleh nilai Sig. (2-tailed)< 0,05 (0,000 < 0,05). Ho ditolak dan Ha diterima. Artinya, layanan konseling kelompok efektif untuk meningkatkan kemampuan penyesuaian diri siswa
korban broken home di SMA Negeri 1 Dolok Merawan dan terdapat peningkatan penyesuaian diri siswa broken home setelah diberikan perlakuan (treatment) berupa layanan konseling kelompok.

Kata Kunci : Layanan Konseling Kelompok, Penyesuaian Diri, Siswa Broken Home
PERAN GURU BIMBINGAN DAN KONSELING UNTUK MENINGKATKAN KECERDASAN INTERPERSONAL SISWA KELAS X DI SMA AL-ULUM MEDAN
Authors: Andini Vina
Published: December 2022

Tujuan penelitian ini adalah untuk mengidentifikasi kecerdasan interpersonal siswa kelas X, peran guru BK kelas X, dan faktor penghambat guru BK untuk meningkatkan kecerdasan interpersonal siswa kelas X di SMA Al-Ulum Medan. Metode penelitian menggunakan pendekatan deskriptif kualitatif. Adapun teknik yang digunakan peneliti ini adalah: Observasi, Wawancara Mendalam (Indepth Interview), Dokumentasi. Dengan analisis data dilakukan melalui tiga (3) tahapan proses yaitu: Reduksi data, Penyajian data Kesimpulan. Untuk penjaminan keabsahan data penulisan mengunakan teknik Triangulasi yang dilakukan dengan jalan: Membandingkan data hasil pengamatan dengan data hasil wawancara Hasil penelitian mengungkapkan bahwa (1) Kecerdasan interpersonal siswa kelas X berbeda-beda, ada 17 siswa
yang mengalami masalah kecerdasan interpersonal dengan karakteristik sulit bergaul, tidak perduli saat guru/ temannya berbicara, berhubungan tidak baik dengan orang lain, egois/ mau menang sendiri dan sulit diajak bekerja sama, (2) Guru BK berperan meningkatkan kecerdasan interpersonal siswa kelas X melalui layanan klasikal, layanan bimbingan kelompok, dan layanan bimbingan pribadi (face to face), (3) Faktor penghambat guru BK untuk meningkatkan kecerdasan interpersonal siswa kelas X adalah sedikitnya jam guru BK, kurangnya tenaga BK dan kurangnya minat siswa terhadap materi BK. 

Kata Kunci : Peran Guru Bimbingan dan Konseling, Kecerdasan Interpersonal
Personal Authentication System Based on Iris Recognition and Digital Signature Technology
Authors:   Northern Technical University, M Therar Huda , J Ali Ahmed ,   Northern Technical University
Published: December 2022

Authentication based on biometrics is being used to prevent physical access to high-security institutions. Recently, due to the rapid rise of information system technologies, biometrics is now being used in applications to access databases and commercial workflow systems. These applications need to implement measures to counter security threats. Many developers are exploring and developing novel authentication techniques to prevent these attacks. However, the most challenging problem is how to keep biometric data while maintaining the functional performance of identity verification systems. This paper presents a biometrics-based personal authentication system in which a smart card, a Public Key Infrastructure (PKI), and iris verification technologies are combined. Raspberry Pi 4 Model B+ is used as the core of hardware components with an IR Camera. Following that idea, we designed an optimal image processing algorithm in OpenCV, Python, Keras, and sci-kit learn libraries for feature extraction and recognition is chosen for application development in this project. After training, the implemented system gives an accuracy of (97% and 100%) for the left and right (NTU) iris datasets. Later, the person verification based on the iris feature is performed to verify the claimed identity and examine the system authentication. For the NTU iris dataset, the time of key generation, Signature, and Verification is 5.17sec,0.288, and 0.056, respectively. This work offers the realistic architecture to implement identity-based cryptography with biometrics using the Rivest–Shamir–Adleman (RSA) algorithm.
Machine Learning Approach on Cyberstalking Detection in Social Media Using Naive Bayes and Decision Tree
Authors:   Universiti Tun Hussein Onn Malaysia, Md Nasir Auni Filzah , Mohamad Sukri Khairul Amin ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

Social media has increased the chance to communicate through many things such as video calls and can be connected globally. But there is also a growth in the vulnerability of the system. With this advancement, some threat is bound to happen. Cyberbullying is one of the social issues that users deliberately and tenaciously misuse social media. It became an issue because most cases affect the victim's mental health. Before, detecting these crimes only has traditionally used linguistic features, but cyberbullying on social media has more than that. Therefore, technologies today may play an important role in detecting cyberstalking on social media by using Machine Learning (ML). In this paper, cyberbullying detection will use the ML algorithm, which is Naïve Bayes and Decision Tree, and compare which algorithm is better to detect. ML has a wide range of methods that allow systems to quickly access the data and learn from it to make decisions for complicated problems. Cyberstalking has been concerning as it psychologically affects the victims. An experimental result indicates that Naïve Bayes algorithms achieve the best accuracy, which is 0.958.
Depression Prediction Using the Classification and Regression Tree (CART)
Authors:   Universiti Tun Hussein Onn Malaysia, Hasni Khalisa Helwani , Mohd Yasin Suhaila ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

Depression is a mood disorder that involves the continuing feeling of sadness and loss of interest. The crucial life events for an individual, such as losing a job may lead to depression. However, the feelings of grief and sadness are clinically diagnosed as part of depression only if the symptoms persist for at least two weeks. Eventually, depression can last for several weeks, months, or years. Some symptoms of depression may overlap with other somatic illnesses and cause difficulty in diagnosing it. This research aims to use the developed forecast model to predict future depression cases and it uses classification and regression tree (CART) of data mining approach, to predict or classify whether an individual suffers from depression or not. The dataset that was used in this research is the depression dataset from the Dataset of Students’ Mental Health at an international university in Japan. This dataset consists of 268 numbers of instances and it has 10 attributes. In addition, to acquire the results, the machine learning software that was used is R Studio and the language that was used is R Programming. Besides that, evaluation metrics were used to evaluate the performance of the forecasted model and the evaluation metrics that were used were accuracy, precision and recall. From the research, it shows that the value for accuracy is 0.50(50%), precision is 1.00 (100%) and recall is 0.50 (50%). Following that, it shows that this forecasting model has the highest value of precision which is 1.00(100%). Furthermore, from the data, it also shows that teenagers in the age range from 18-22 are most likely to get depression and they also have the intention of suicide. Lastly, in the future, this research could be continued with more training on different datasets and more different techniques could be used. Besides that, this research could be improved by adding other algorithms to best understand the strengths and weaknesses of other techniques.
UTHM E-Voting System Using Blockchain
Authors:   Universiti Tun Hussein Onn Malaysia, Mohamed Kassim Nur Hafizah , Ibrahim Noraini ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

UTHM E-Voting System using Blockchain is a web-based system that develops to enhance and help to improve the efficiency of the existing system and also make the UTHM election process run smoothly and efficiently. In this system, the advantages of blockchain technology are used in the E-Voting system to make it more secure and effective. Lack of security is a primary concern of the current UTHM voting system, such as authentication, confidentiality, integrity, and non-repetition. Besides, the voting process can be inconvenient due to the limited number of polling stations. The distance between these polling stations and college residences causes difficulties for the students to go to a polling station. Moreover, students have to line up for some time before they can vote, which means that some of them leave without even voting. Finally, communication problems cause much misunderstanding between the election council, which is the Jawatankuasa Pemilihan Majlis Perwakilan Pelajar (JPMPP), which leads to an electoral process that cannot function smoothly. Thus, the UTHM E-voting system using blockchain is developed to overcome those problems in this project. The Prototyping Model drives the activities in this project with five main SDLC phases: planning, analysis, design, prototype, and implementation, which are very flexible compared to other software process models. This system is a web-based system that is developed using PHP as programming language and MySQL as database software. This system uses blockchain technology and the ring signature algorithm when conducting and counting the vote to improve the security of the electronic voting system. The test result shows that the system passed 25 of the 25 test cases, accounting for 100% of all the test cases. To conclude, this system is useful because it can improve the efficiency of the entire electoral process compared to the manual system that facilitates the management of the electoral process.
Energy-Harvesting for IoT-based Wireless Nodes: A Progress Study
Authors:   Faculty of Science, SUMAIT University, Abdul-Qawy Antar Shaddad Hamed
Published: December 2022

Energy-harvesting technology is a promising renewable energy source for many applications through deriving energy from ambient environments. In IoT-based devices, this plays a significant role in providing sustainable energy and overcomes the need for battery maintenance and replacement, leading to increased efficiency, reliability, and operation time. This paper focuses on energy- harvesting in the context of IoT-based wireless nodes, its current progress, and future expectations. The main components, energy dissipations, and powering sources of IoT-based nodes are, first, identified. Then, the various ambient energy-harvesting sources and general architecture of the IoT-based energy-harvesting node are presented and concisely discussed. Finally, a progress discussion on the current and future trends of energy-harvesting technology for IoT devices is provided from different aspects, while shedding light on the key challenges facing the growth of energy harvesting for IoT-based systems. Overall, the paper provides a contemporary study that helps researchers who are working in this area and aiming to participate in its developments.
BIM Sign Language Translator Using Machine Learning (TensorFlow)
Authors:   Universiti Tun Hussein Onn Malaysia, Han Lin Herrick Yeap , Murli Norhanifah ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

This project is developed to provide an application service to assist the deaf community where the deaf community in Malaysia has been facing difficulties conveying their messages to the non-deaf community. This project aims to design an offline and stand-alone BIM sign language translator, develop a BIM sign language translator system using TensorFlow machine learning, and conduct acceptance and functionality testing of the prototype to the deaf community non-fluent BIM user. The study uses Waterfall Model as a software development guide and uses TensorFlow, Python, OpenCV, and Qt as a core development library. The working application that translates sign language is then tested on the target users. The testing result shows that the target user can easily use the application to translate their sign language and shows positive indications while using the application. Even though there exist some limitations, such as the lack of a sign language dictionary that the application can translate. Still, it is hoped that this application will benefit the users.
An Internet of Things-based Air Pollution Detection System
Authors:   Universiti Tun Hussein Onn Malaysia, Mat Saari Nurul Aida , Kamaludin Hazalila ,   Universiti Tun Hussein Onn Malaysia, Mohd Safa Noor Zuraidin ,   Universiti Tun Hussein Onn Malaysia, Abd.Hamid Isredza Rahmi ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

The Internet of Things (IoT)-based air pollution detection system using gas sensors is a system that is developed to detect air pollution using IoT technology. Air pollution is a condition where there is a mixture of harmful chemicals in the air we inhale that can cause damage to humans and the surroundings. The issue of polluted air nowadays has made people become more aware of the air quality they inhale. The system has been developed using MQ2 and MQ9 gas sensors to detect the air pollution level. The system involved two features in helping users read the air pollution level and notify the reading through a mobile app. Users also get notified of the reading through a pop-up notification. The mobile application development uses Android Studio, while Google Firebase is used as the database for the system. This IoT-based air pollution detection system is successfully developed and notified users about the air pollution reading to be more aware of their surroundings.
Mobile Learning for Manually Coded Malay Sign Language Using Augmented Reality
Authors:   Universiti Tun Hussein Onn Malaysia, Abdul Razak Raz Nur Izzatu , Senan Norhalina ,   Universiti Tun Hussein Onn Malaysia
Published: December 2022

lagging in education as compared to their hearing peers. This can affect their communication skills and affect their academic achievement. However, the existing applications developed for sign language education have a few drawbacks, such as only consisting of a Learning Module, and the media used was only learning videos. Hence, the Mobile Learning for Manually Coded Malay Sign Language using Augmented Reality (KTBM AR) is developed to provide users with Learning and Activity Modules where users can interact with and test their knowledge. Not only that, but KTBM AR also included Augmented Reality (AR) as an interactive learning medium to engage users more in learning. The methodology used in developing this application is the ADDIE model, which comprises five main phases: analysis, design, development, implementation, and evaluation. The result from testing shows that the application was successfully developed with a range of 94% acceptable according to the System Usability Scale (SUS). Thus, it can be concluded that KTBM AR is suitable to be implemented in sign language learning.
Development of Computational Model of Motorcycle and Rider During Collision
Authors:   Faculty of Mechanical and Manufacturing Engineering,Universiti Tun Hussein Onn Malaysia, Parit Raja,86400, MALAYSIA, Arwardy Aziz Fathurrahman , Mohamad Zaleha ,   Faculty of Mechanical and Manufacturing Engineering,Universiti Tun Hussein Onn Malaysia, Parit Raja,86400, MALAYSIA
Published: December 2022

The goal of this project is to develop the computational model of motorcycle and rider for deformable body. Also, to identify the response of rider and motorcycle on collision. Computationalmodel is the one method that can replace the actual experiment on crash test. From the simulation can save cost by actual impact crash test. This project begins with design the model of actual motorcycle. Because the model of the project using Honda Wave 100R is to complex and the computer not powerful enough to generate mesh the simplified model is use for the project. Then, the material of this project using ANSI 304 stainless steel. The simulation of the experiment run by the ANSYS software to calculatemathematical model result after impact. Finally, the result of deformation was recorded to compare the result of deformation on actual crash test. The Comparison result of deformation actual and simulation are quietly similar
On the Generalized Pareto Probability Density Function of the Mean Annual Rainfall of Katsina State
Authors:   Obafemi Awolowo University, Taofik O Dauda , Adewale O Adetayo ,   Obafemi Awolowo University
Published: December 2022

This work was accomplished to assess the rainfall probability density function (pdf) of Katsina State and adopt the most parsimonious density function using 2003 –2018 rainfall data from the Nigeria Institute of Meteorological Services. The data were subjected to cleaning, descriptive statistics and investigation of five distribution functions (General pareto, general extreme value, Gumbel maximum, Uniform and Normal distribution) through parameterizations. The results intimated that Daura experienced the highest mean annual rainfall ranging between 75.667 mm for 2003 and 82.417 mm for 2018. Both Dutsin-Ma and Safana local Government returned the least mean annual rainfall alternately and it ranged between 57.500 mm (2009 rainfall for Dutsin-Ma) and 67.167 mm for 2018 mean annual rainfall of Safana. The order of performance of the five (5) prominent pdf in each of the sites differs but the Generalized Pareto distribution (GPD) ranked highest across all the sites. The distribution characteristics for the GPD (the most parsimonious of the pdf) are, mean = 61.15098 (Duara), 58.93371 (Dutsinma) and 79.20851 (Safana) and variance of 9212.603 (Duara), 6709.908 (Dutsinma) and 6687.102 (Safana). The examination of the visual analysis of the residuals of the mean annual rainfall indicated that only the mean rainfall for Dutsin-Ma gave the most precise parameter estimates.
Voltage Generation in Piezoelectric Energy Harvesting with Magnet: FEA Simulation and Experimental Analysis
Authors:   International Islamic University Malaysia, Jaafar Muhammad Imran , Rabah Hossameldin M.M.M. ,   International Islamic University Malaysia, Nordin N.H. Diyana ,   International Islamic University Malaysia, Muthalif Asan G.A. ,   Qatar University, Wahid Azni N. ,   International Islamic University Malaysia
Published: December 2022

Energy harvesting devices are needed as an alternative to batteries as it is costly to power up wireless sensor network. However, the power generated and operating bandwidth for the typical energy harvester are still compromised. Therefore, in this work, the use of permanent magnet in Piezoelectric Energy Harvester (PEH) is proposed to increase the operating bandwidth. A simulation study was conducted using COMSOL Multiphysics software to observe the effect of mechanical tuning using magnet on the voltage produced. It shows that PEH with oscillating magnetic field is capable of reaching generated peak power of 0.775 mW and increase the operating bandwidth by 10%. Experimental setup was also fabricated to further validate the observation at different polarities and varying distances with permanent magnets. It is observed that while the peak power achieved in the attractive mode is smaller as compared to its counterpart, however, its bandwidth is larger.
Analysing Land-use Land Cover (LULC) and Development Change in Nearby University Campuses’ Area: A Case of Universiti Teknologi MARA Negeri Sembilan, Malaysia
Authors:   Universiti Teknologi MARA, Mohd Zain Wahidah , Idris Sufy Rabea Adawiya ,   Universiti Teknologi MARA, Mohd Ramsi Mohd Faizal ,   Universiti Teknologi MARA, Nordin Siti Khairiyah ,   Universiti Teknologi MARA
Published: December 2022

After 20 years of establishment, the number of Universiti Teknologi MARA (UiTM) campuses across Malaysia has reached 35 in number. Although the campuses' development of campuses had somehow made the location widely known as one of the education hubs in Malaysia, there exist doubts about the extent of development of each campus in an area that can benefit the locality. The focus of this paper is assessing the land-use changes due to the development of three campuses of UiTM Negeri Sembilan from 1999 to 2019. This study uses satellite images, GIS technology, and web-based maps applications as data collection tools. Two aspects were assessed, viz; Land-use Land Cover (LULC) and change detection. The result shows an increasing pattern of LULC. Also, the land conversion occurred more in Seremban compared to UiTM Kuala Pilah and Rembau. Change detection analysis in this paper reveals that the green area is declining via a higher percentage of deforestation and urbanization. Land-use change detection technique is confirmed as an effective method for measuring and evaluating urban development operations and their effect. Therefore, this research emphasized that LULC and change detection analysis results beneficial in identifying the development impact and important to facilitate strategize steps and policies in averting the affected areas from pollution and deforestation side effects. This study also suggests that such research extended to more Institutes of Higher Learning in Malaysia and South East Asia. The findings should be valuable to researchers, town planners, university administrators, and local authorities alike and contribute towards sustainable land-use planning and management in Malaysiain the near future.
Application of Mathematical Models for Optimizing Inspection Frequency in Maintenance and Management of Pavement
Authors:   Yazd University, Khabiri Mohammad Mehdi , Fard Zohreh Ghafoori ,   Yazd University
Published: December 2022

Mathematical optimization, also called mathematical programming, is the process by which the best answer (according to a set of criteria) is selected from a set of possible answers to a particular problem. Today, optimization problems are used in all quantitative fields such as computer science, engineering, operations research, economics, and more; one of the engineering disciplines in which optimization is very important is road and transportation engineering. Road repair is one of the most important componentsof pavement management that requires regular road inspection by road specialists. One of the most important measures to prevent failure is maintenance inspection; Assessment of the condition of road surfaces to ensure their performance, while the road still provides maximum safety for existing traffic, should be done to ensure timely and effective repair and reconstruction operations. But exactly when these inspections should take place and when they are effective is an issue that is addressed in this study. The aim of this study is to optimize the frequency of maintenance inspections for a high-traffic suburban road by optimizing the frequency of inspections with a certain degree of reliability; so, the breakage function was considered as a pavement condition index (PCI). The results show that in order to pave the suburban road with high traffic in order to perform the desired pavement with 95% reliability, 218 inspections should be carried out annually (on average once every two days).
New Inequality for L-Lipschitzian Functions and Applications
Authors:   University of Engineering and Management, Chhabra Praphull
Published: December 2022

This article gives a really vital and curiously inequality on Jain-Saraswat’s functional discrimination in terms of the Hellinger discrimination and Bhattacharya discrimination by taking into thoughtL-Lipschitzian functions. Encourage, we outlined a few vital results by utilizing the inferred inequality with numerical confirmation.
Deformation Characteristics of Lime Stabilized Clay Soil Using Finite Element Method
Authors:   Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Roslan Ain Soraya , Md Yusof Zeety ,   Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA
Published: December 2022

Clay soil provides a poor working platform due to its plastic characteristics that could affect a structure’s safety and other common structure failure including excessive foundation settlement, the production of cracks in the superstructure and other structural element failure. Thus, there is a challenge for clay soil to be a support for a foundation. The objective of this study is to compile a set data from past research studies that include the parameters of untreated and treated clay soil properties as to be used in the PLAXIS 2D generate its deformation over no load and 100 kPa stress as well as increasing its shear strength and reduce the excessive settlement. Accordingly, the suitable lime content to improve clay strength can be determined. The numerical analysis is done by running the parameters collected from previous studies in PLAXIS 2D in order to generate the final deform soil. The soil with lime content 0%, 3%, 6%, and 9% deformed under both without and with loading of 100 kPa. The result that can be observed from the deformed soil, the treated clay behaved well under loading compared to the untreated. From the result, the amount of lime content did affect the properties of the soil by showing the settlement of each soil and the deformation pattern.
Effect Of Soil Shear Strength on Shoreline Changes at Batu Pahat Coastal Area
Authors:   Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Sabri Muhamad Syamil , Daud Mohd Effendi ,   Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, MALAYSIA, Mokhtar Mardiha ,   Department of Civil Engineering, Centre for Diploma Studies,   Universiti Tun Hussein Onn Malaysia (Pagoh Campus), Pagoh Higher Education Hub, Jalan Panchor, MALAYSIA
Published: December 2022

This study focuses on the effect of soil shear strengthdue to the shoreline changes in Batu Pahat Coastal Area. The shorelines of Pantai Punggur were chosen as the subject location for this investigation on soil shear strength and shoreline changes of eroded areas in Batu Pahat, Johor. Pantai Punggur is situated on the west coast of Johor, with a latitude of 1.62° to 1.87° N and a longitude of 102.78° to 103.19° E. Aerial photographs and field observation data were used to determine the geomorphological components of the Pantai Punggur shoreline using an unmanned aerial vehicle (UAV). The study conducted is to produce shoreline changes mapping diagram and analysis soil shear strengths across different sampling locations were measured and correlate with shoreline changes at zones A, B, C, D and E. The aerial image that has been captured by the drone was analyzed using Pix4D and Global Mapper software. Based on the data of shoreline changes zone A portrays the highest changes followed by zone B and C. As for zone D and E its shows quite a small change. Within one month interval, Pantai Punggur coastline experiences changes in about 1.57 meters. From the undrained shear strength test at 0.5 m depth at HT and MT data for December 2021, zone A with Cu reading are more than 4.5 kPa followed by zones B, C, D and lowest at zone E. Next, at depth 0.5 m and 1.0 m data for December 2021 at HT level, zone A with Cu reading is more than 4.5 kPa at the 0.5 m and 1.0 m depth and other zones are below than 3.0 kPa. The depth of soil also influences the data of this study. The correlation of changes in soil shear strength with shoreline changes is reported to have a linear correlation with R2 value is 0.9261. It can conclude that the effect of soil shear strength on shoreline changes at Batu Pahat coastal area cause by the changes in soil shear strength (Cu) gives a large effect of shoreline changes.