191 research outputs found
The Impact of Stress on Healthcare Staffs’ Cybersecurity Practices
No full textDigitalization has revolutionized the healthcare industry, offering numerous advantages. However, it has also introduced the risk of data breaches through cyber-attacks. Healthcare information systems, containing valuable data that can be sold at high prices, are often targeted by adversaries. Surprisingly, a recent report revealed that 82% of data leaks involved a human element. As a result, the study of human behavior in cybersecurity has gained significant attention. However, the relationship between stress levels and cybersecurity practices, particularly in the healthcare setting, has only been the subject of a small number of peer-reviewed studies. This study aims to fill this gap by examining the relationship between stress levels and risky cybersecurity practices among hospital workers. Additionally, it investigates how stress impacts email judgment performance. Furthermore, the study compares different strategies to develop effective multimodal stress detection systems. To achieve these objectives, the research methodology employs correlation analysis, causal analysis utilizing a randomized controlled trial (RCT), and comparative analysis of various machine learning models.
The correlation analysis reveals a positive correlation between stress levels and risky cybersecurity practices in Ghana, Indonesia, and the combined dataset from three countries (Ghana, Norway, and Indonesia), indicating that individuals experiencing higher stress are more likely to engage in behaviors compromising cybersecurity. The causal analysis shows that while stress does not directly compromise participants’ ability to detect phishing emails, higher stress levels are significantly correlated with lower accuracy in the Indonesian context. Furthermore, completion time is identified as a potential mediator of the impact of stress on email judgment performance, with longer time associated with better performance. While the result from Norway showed no significant difference, the result from Indonesia suggested that participants in the non-stress group took a significantly longer time to complete judging emails than participants in the stress group.
The comparative analysis of multimodal stress detection systems demonstrates the superiority of multiple sensor fusion models over individual sensors with the weighted score-level fusion approach getting the best performance. Furthermore, preprocessing such as feature normalization and feature selection was proven to improve system performance. In term of classifier, using Logistic Regression as the classifier yield the best results.
This study contributes to our understanding of the impact of stress on cybersecurity practices and emails judgment performance. These findings have important implications for hospital management, emphasizing the need for targeted training programs and support systems to enhance cybersecurity practices among staff. The comparative analysis provides insights into effective multimodal stress detection systems, promoting privacy and accuracy. In conclusion, It offers practical recommendations for healthcare organizations to enhance cybersecurity and provides insights for the development of effective multimodal stress detection systems
Alumni UMP sumbang ilmu kepada bakal usahawan siswa
No full textSeramai 20 mahasiswa Universiti Malaysia Pahang (MP) dari Perwakilan Kolej Kediaman 5 (PEKA 5) di bawah Exco Keusahawanan dan Tajaan berpeluang mengikuti program Jejak Usahawan 1.0 bagi berkongsi pengalaman dengan tiga usahawan terkenal yang telah berjaya dalam bidang masing-masing. Mereka adalah Pengasas Benang Hijau Sdn.Bhd, Fadzilah Muhammad@Mamat, Pengasas Supercat International Sdn.Bhd. Mohd. Dzul Qarnain Ahmad Suhaimi dan Pengasas Easy Technology Resources, Ali Ikhwan Mohd Noordin
PERDAMAIAN DALAM PERSPEKTIF A. MUKTI ALI
No full textKemajemukan adalah sesuatu yang tidak bisa dihindari. Keragaman merupakan keniscayaan yang telah ditakdirkan Tuhan Yang Maha Esa. Termasuk dalam keragaman berfikir dan beragama. Dalam kondisi yang serba majemuk ini, peluang terjadinya benturan dan kesalahpahaman antar pemeluk agama terbuka lebar, sehingga sebagian mereka menganggap agamanya yang paling benar dan tidak melihat sesuatu yang berharga dari agama lain. Cara pandang yang seperti ini kerap berujung pada ketegangan satu sama lain, bahkan bisa berujung pada konflik, kekerasan dan bahkan menimbulkan perpecahan. Oleh karenanya, dibutuhkan suatu gagasan tentang perdamaian yang menjadi konsensus bersama untuk meredam konflik, kekerasan hingga perpecahan yang tidak diinginkan.
Penelitian ini adalah penelitian kualitatif dengan menyajikan jenis data literer atau kepustakaan secara deskriptif, interpretatif disertai analisis. Untuk mempermudah analisis, penelitian ini menggunakan teori rasionalisme Mannheim yang merupakan pengembangan lebih jauh dari teori sosiologi pengetahuan Ibn Khaldun. Teori rasionalisme adalah teori yang menjelaskan bahwa setiap pemikiran selalu berkaitan dengan keseluruhan struktur sosial yang melingkupinya,
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sehingga pengetahuan dan kepercayaan yang ada dalam masyarakat bisa dikatakan merupakan hasil dari proses sosio-politik. Teori ini digunakan untuk menganalisis pemikiran A. Mukti Ali dalam peranannya sebagai Menteri Agama dan Ketua Jurusan Perbandingan Agama, sehingga mampu memotret konteks yang melatarbelakangi pandangan A. Mukti Ali tentang perdamaian.
Dalam penelitian tersebut, peneliti menyimpulkan, untuk mencapai suatu perdamaian menurut A. Mukti Ali, hal yang paling mendasar adalah pembangunan manusia seutuhnya, dalam artian pendidikan perdamaian. Dalam proses pendidikan perdamian ini, terdapat tiga faktor untuk mencapai suatu perdamaian, yaitu spiritual, moral dan intelektual, sebagaimana tercermin pada tiga ranah aplikasi, yaitu dialog antar umat beragama secara spiritual; yang melahirkan gagasan tentang konsep agree and disagreement yang menjadi ciri khasnya, pengajaran disiplin Ilmu Perbandingan Agama di IAIN secara intelektual, dan kerukunan umat beragama secara moral. Pandangan A. Mukti Ali tersebut dilatarbelakangi oleh konflik antar agama yang terjadi di beberapa tempat di Indonesia pada masa Orde Baru
Etika peserta didik dalam pendidikan Islam: Telaah terhadap kitab al-’Ilm karya Muhammad Salih al-’Usaimin
No full textPeserta didik dalam belajar tentunya dituntut untuk beretika. Banyak pemikir Islam yang merumuskan teori etika peserta didik serta proses belajar yang baik. Penelitia ini, dimaksudkan untuk mengetahui bagaimana etika peserta didik serta faktor yang mempengaruhi keberhasilan dan kegagalan peserta didik menurut Muhammad Salih al-’Usaimin dalam karyanya Kitab al-’Ilm.
Penelitian ini bertujuan untuk mengetahui: 1) Etika peserta didik menurut Muhammad Salih al-’Usaimin dalam Kitab al-’Ilm 2) Faktor pendorong kesuksesan peserta didik menurut Muhammad Salih al-’Usaimin dalam Kitab al-’Ilm.
Peneltian ini merupakan analisis teks, metode yang digunakan adalah kepustakaan. Teknik pengumpulan data dilakukan melalui dokumen, kemudian dianalisis dengan cara reduksi, penyajian data dan penarikan kesimpulan.
Hasil penelitian menunjukkan bahwa: 1) Etika peserta didik menurut Muhammad Salih al-’Usaimin dalam Kitab al-’Ilm adalah niat ikhlas, memberantas kebodohan dari diri sendiri dan masyarakat, membela agama Islam, toleran terhadap perbedaan pendapat, mengamalkan ilmu pengetahuan, menyampaikan ilmu pengetahuan, menjadi panutan, bersabar dalam belajar, menghormati ulama, berpegang teguh terhadap Alquran dan Hadis, teliti dan konsisten, dan cermat dalam memahami tujuan Alquran dan Hadis. 2) Faktor pendorong kesuksesan peserta didik menurut Muhammad Salih al-’Usaimin dalam Kitab al-’Ilm adalah takwa, tekun, menghafal, dan mula>zamah al-‘Ulama>. Sedangkan faktor penghambatnya adalah dengki, berfatwa tanpa pengetahuan, takabbur, fanatik, tampil sebelum menguasai materi, dan berprasangka buruk
Determining the age and gender of an individual based on text classification - Comparing two binary classifications with one 4-class classification
No full textAlder og kjønndeteksjon er en av verktøyene som kan brukes for å sørge for en form for sikkerhet i chatterom. Ved å finne riktig aldersgruppe på en bruker ved hjelp av teksten den har skrevet, kan denne studien beskytte unge barn, både fra å utgi seg som unge voksne på nettet, og fra overgripere som utgir seg for å være barn. Denne studien vil forsøke å forbedre deteksjon av alder og kjønn ved tekstklassifisering ved å finne forkjeller mellom å se på alder og kjønnklassifisering som to separate binære problemer, og et 4-klasse klassifiseringsproblem.
Ved å bruke seks forskjellige algoritmer, tre forskjellige måter å hente attributter på, og implementering av to forskjellige måter å behandle resultatene, for både binær og 4-klasse-klassifisering, sørger studien for et solid grunnlag for sammenligning. Beregningene som er valgt til å brukes i sammenligningen er accuracy, precision, recall, databehandlingstid, i tillegg til F_0.5 og F_1 score. Fokuset vil ligge på precision og F_0.5 score, ettersom det er et potensiale for å bruke dette til å detektere overgripere, vil det være mer relevant å detektere voksne som utgir seg for å være barn. Dette er basert på at klassifiseringen for de binære metodene klassifiserer barn som 1 og voksne som 0. Resultatene fra 4-klasse-klassifisering blir også kombinert til to deler, en for alder og en for kjønn, slik at resultatene blir sammenlignbare.
Mellomliggende resultater viser at hard voting har en større påvirkning på resultatene enn soft voting. Dette gjelder både for binær- og kombinert 4-klasse-klassifiseringer, men mest for 4-klasse-klassifiseringer.
Resultatene viser at databehandlingstiden til 4-klasse-klassifisering er markant raskere enn for to binære klassifiseringer, ettersom de må kjøres to ganger. Forskjellene vedrørende de andre beregningene varierer mellom de forskjellige metodene, fra omtrent ingen forskjell til 60%, hvor de største forskjellene skjer ved de metodene som samlet har dårligst resultater, på kjønnklassifisering med hard voting. Forskjellene i gjennomsnittlig precision og F_0.5 score er 1.6% og 4% henholdsvis, til fordel for kombinert data 4-klasse-klassifisering. Ved å se på spesifikke brukere, og om klassifiseringen med binære og kombinert data 4-klasse-klassifisering er forskjellig, så klassifiserer sistnevnte 4.3% flere brukere korrekt.
Forskjellene mellom de forskjellige methodene er ikke alltid signifikant, men fra et overordnet standpunkt klassifiserer kombinert data 4-klasse-klassifisering med bedre resultater i 70.8% av metodene brukt i denne studien, med tanke på precision og F_0.5scores. Dette tyder på at denne tilnærmelsen kan være et bedre valg med tanke på alder og kjønnsdeteksjon ved tekstklassifisering i for eksempel chatterom.Age and gender detection is one of the tools that can be used to provide a form of safety in chatrooms. By finding the correct age group of an author of a chat, or text, this study could protect young children, either from posing as young adults online themselves or from predators seeking them out, pretending to be children. This study seeks to improve the detection of age and gender through text classification by finding the differences between looking at age and gender classification as two separate binary problems, or as one 4-class classification problem.
By running six different algorithms, three different feature extraction methods, and implementing soft and hard voting on the results, from both the binary classifications and 4-class classifications, it provides a solid basis for comparison. The metrics chosen as comparative numbers are accuracy, precision, recall, computing time, as well as F_0.5 and F_1 scores. The focus is on precision and the F_0.5 score because, given the potential application in detecting predators, it is more relevant to detect adults posing as children. This is given that the classifications for the binary methods are based on a child being class 1, and an adult being class 0. The results from the 4-class classification are also combined into two parts, one for age and one for gender, in order to have more comparable results.
Intermediate results show that hard voting has a more substantial effect on the results than soft voting. It does so for both the binary and the 4-class combined data, but mostly for the 4-class classifications.
The results show that the computing time for the 4-class classification is by far the faster choice, as the classification for the binary data must be run twice. The differences with regards to the other metrics vary between the different methods and range from negligible to 60%, where the highest differences occur for the worst performing methods overall, on gender classification and hard voting. The difference in average precision and F_0.5 score is 1.6% and 4% respectively, in favor of the 4-class combined data classification. Looking at specific authors, and if the classification differed between binary and 4-class combined classification, the latter classifies 4.3% more authors correctly.
The difference between the different methods is not always significant, but from an overall standpoint, the 4-class combined data classifications perform better in 70.8% of the methods used in this study, with regards to precision and F_0.5 scores. This suggests that this approach could be the better choice in detecting age and gender through text classification in e.g., chatrooms
Alumni 1993-2002: Dato' Sri Rohani Binti Abdul Karim / Jati Kasuma Ali ... [et al.]
No full textYBhg. Dato Sri Rohani Abdul Karim merupakan anak jati Sri Aman, Sarawak yang dilahirkan pada 3 Januari 1955. Beliau merupakan Graduan Executive Masters of Business Administration pada tahun 1998 di UiTM dan Ohio University, USA dengan penganugerahan Beta Gamma Sigma. Beliau mendapat pendidikan awal di SK Abang Ali dan Methodist Secondary School di Sibu sebelum meneruskan pengajian Bachelor of Science Perniagaan Tani di Universiti Pertanian Malaysia (UPM)
Determining the age and gender of an individual based on text classification - Comparing two binary classifications with one 4-class classification
No full textAlder og kjønndeteksjon er en av verktøyene som kan brukes for å sørge for en form for sikkerhet i chatterom. Ved å finne riktig aldersgruppe på en bruker ved hjelp av teksten den har skrevet, kan denne studien beskytte unge barn, både fra å utgi seg som unge voksne på nettet, og fra overgripere som utgir seg for å være barn. Denne studien vil forsøke å forbedre deteksjon av alder og kjønn ved tekstklassifisering ved å finne forkjeller mellom å se på alder og kjønnklassifisering som to separate binære problemer, og et 4-klasse klassifiseringsproblem.
Ved å bruke seks forskjellige algoritmer, tre forskjellige måter å hente attributter på, og implementering av to forskjellige måter å behandle resultatene, for både binær og 4-klasse-klassifisering, sørger studien for et solid grunnlag for sammenligning. Beregningene som er valgt til å brukes i sammenligningen er accuracy, precision, recall, databehandlingstid, i tillegg til F_0.5 og F_1 score. Fokuset vil ligge på precision og F_0.5 score, ettersom det er et potensiale for å bruke dette til å detektere overgripere, vil det være mer relevant å detektere voksne som utgir seg for å være barn. Dette er basert på at klassifiseringen for de binære metodene klassifiserer barn som 1 og voksne som 0. Resultatene fra 4-klasse-klassifisering blir også kombinert til to deler, en for alder og en for kjønn, slik at resultatene blir sammenlignbare.
Mellomliggende resultater viser at hard voting har en større påvirkning på resultatene enn soft voting. Dette gjelder både for binær- og kombinert 4-klasse-klassifiseringer, men mest for 4-klasse-klassifiseringer.
Resultatene viser at databehandlingstiden til 4-klasse-klassifisering er markant raskere enn for to binære klassifiseringer, ettersom de må kjøres to ganger. Forskjellene vedrørende de andre beregningene varierer mellom de forskjellige metodene, fra omtrent ingen forskjell til 60%, hvor de største forskjellene skjer ved de metodene som samlet har dårligst resultater, på kjønnklassifisering med hard voting. Forskjellene i gjennomsnittlig precision og F_0.5 score er 1.6% og 4% henholdsvis, til fordel for kombinert data 4-klasse-klassifisering. Ved å se på spesifikke brukere, og om klassifiseringen med binære og kombinert data 4-klasse-klassifisering er forskjellig, så klassifiserer sistnevnte 4.3% flere brukere korrekt.
Forskjellene mellom de forskjellige methodene er ikke alltid signifikant, men fra et overordnet standpunkt klassifiserer kombinert data 4-klasse-klassifisering med bedre resultater i 70.8% av metodene brukt i denne studien, med tanke på precision og F_0.5scores. Dette tyder på at denne tilnærmelsen kan være et bedre valg med tanke på alder og kjønnsdeteksjon ved tekstklassifisering i for eksempel chatterom
Case study of Jeruk Madu Pak Ali / Nurul Fatini Ahmad Fauzi … [et al.]
No full textThrough entrepreneurial skills and knowledge, ENT530 teaches students how to comprehend customer insight, market demands, and business prospects. This case study on company analysis assignment is one of the course assessments. The purpose of this project is to conduct research on a Small Medium Enterprise with an SSM accreditation. The purpose of this course was to expose students to possible business problems and how to handle them effectively. This study case can provide us with ideas for improving our business as students. This research is also beneficial for students because it teaches them how to brainstorm and think outside the box in order to resolve problems in the future. The chosen company is Jeruk Madu Pak Ali. It is one of Malaysia’s first choice of pickled beverages which originated from mostly fruits. It is formerly started in Penang where it became well-known for their product which is the pickled fruits. We have been studied the business’ goals and objectives solely based on its Business Model Canvas and it helps us to gain a better understanding of the company’s target customer base, how they drive profit and also how they deliver their unique value proposition. In addition, we also required to find major business problems that were faced by the company and we need to identify the main causes. Some major problems that we found were lack of promotional marketing activities, plain and unappealing packaging, lack of technology and lack of information to the consumers. Relating to those major problems, we have identified its alternative solutions which are fully utilize social media marketing and content creation, create new and appealing packaging, use advanced technology and provide more information through advertising strategy. Every solution that we came up has their own advantages and disadvantages to the business and we also have recommended the best solution for Jeruk Madu Pak Ali to apply for its company
PENGARUH PEMBIAYAAN MURABAHAH DAN DANA PIHAK KETIGA TERHADAP PENDAPATAN MARGIN MURABAHAH PADA BANK CENTRAL ASIA SYARIAH TAHUN 2010 - 2017
No full textABSTRAK
Skripsi dengan judul “Pengaruh Pembiayaan Murabahah Dan Dana Pihak
Ketiga (DPK) Terhadap Pendapatan Margin Murabahah Pada Bank Central Asia
Syariah Periode 2010 – 2017” yang ditulis oleh Muhammad Irfan Fauzi Asror,
NIM 1741143237 dengan dosen pembimbing Dr. Ali Mauludi, AC., M.A.
Penelitian ini dilatar belakangi oleh beberapa hal, yakni meskipun banyak
prinsip yang digunakan bank syariah, seperti kerja sama dan jual beli. Namun,
prinsip jual beli dengan akad murabahah yang sering digunakan dalam aplikasi
bank syariah. Menurut pendapat Adiwarman A. Karim terdapat beberapa
pertimbangan penentuan keuntungan yang telah ditetapkan dalam rapat ALCO
(Asset Liabilities Committee) bank syariah. Pembiayaan murabahah merupakan
produk yang ideal bagi bank syariah dalam menyalurkan dana pihak ketiga
(DPK), disamping risiko yang kecil, bank syariah juga harus menjaga kelikuiditas
dana.
Rumusan masalah dalam penelitian ini adalah (1) Apakah pembiayaan
murabahah berpengaruh secara signifikan terhadap pendapatan margin
murabahah?; (2) Apakah dana pihak ketiga berpengaruh secara signifikan
terhadap pendapatan margin murabahah?; (3) Apakah pembiayaan murabahah
dan dana pihak ketiga berpengaruh secara simultan terhadap pendapatan margin
murabahah?. Tujuan penelitian ini adalah untuk menguji signifikan pengaruh
pembiayaan murabahah dan dana pihak ketiga terhadap pendapatan margin
murabahah pada Bank Central Asia Syariah baik secara parsial (individu) dan
simultan (bersama-sama).
Dalam penelitian ini, digunakan teknik sampling purposive untuk
pengambilan sampel. Jumlah sampel yang diambil sebanyak 30 data Laporan
Keuangan Triwulan Bank Central Asia Syariah. Tahap analisis data dengan uji
normalitas dan asumsi klasik dan disimpulkan data dapat dilanjutkan tahap
pengujian regresi linear berganda. Hasil analisis regresi menyimpulkan bahwa
variabel pembiayaan murabahah (X1) dan dana pihak ketiga (X2) berpengaruh
positif terhadap pendapatan margin murabahah (Y).
Hasil dari uji hipotesis menggunakan uji t menunjukkan variabel pembiayaan
murabahah pada BCAS berpengaruh tidak signifikan terhadap pendapatan margin
murabahah, sedang variabel dana pihak ketiga berpengaruh yang signifikan
terhadap pendapatan margin murabahah. Sementara secara bersama-sama variabel
pembiayaan murabahah dan dana pihak ketiga berpengaruh yang signifikan
terhadap pendapatan margin murabahah.
Kata kunci : Pembiayaan Murabahah, Dana Pihak Ketiga, Margin
Murabahah
Perbedaan Tingkat Keterampilan Teknik Dasar Sepakbola Pada SSB Pondok Pesantren Fadlun Minalloh Dengan SSB Pondok Pesantren Ali Maksum
No full textPenelitian ini bertujuan untuk mengetahui tingkat keterampilan teknik dasar sepakbola SSB Pondok Pesantren Fadlun Minalloh dan SSB Pondok Pesantren Ali Maksum serta mengetahui perbedaan dari kedua tim.
Penelitian ini menggunakan deskriptif kuantitatif. Populasi penelitian ini diambil berdasarkan teknik snowball sampling dengan pesertanya masing-masing diambil 20 siswa. Teknik pengambilan data menggunakan instrumen tes kecakapan sepakbola “David Lee” dan tes pengembangan Subagyo Irianto.
Hasil penelitian diperoleh bahwa: 1) Tingkat keterampilan bermain sepakbola siswa SSB Pondok Pesantren Fadlun Minalloh dilihat dari tes David Lee rata-rata sebesar 37,74 (kategori baik), sedangkan dilihat dari tes Pengembangan Subagyo Irianto rata-rata sebesar 43,18 (kategori sedang), 2) Keterampilan bermain siswa sepakbola SSB Pondok Pesantren Ali Maksum dilihat dari tes David Lee rata-rata sebesar 44,73 (kategori sedang), sedangkan dilihat dari tes Pengembangan Subagyo Irianto rata-rata sebesar 50,35 (kategori kurang), 3) Perbedaan hasil tes David Lee dan tes pengembangan Subagyo Irianto pada siswa SSB Pondok Pesantren Fadlun Minalloh dengan siswa SSB Pondok Pesantren Ali Maksum diperoleh hasil lebih baik SSB Pondok Pesantren Fadlun Minalloh dengan hasil rata-rata sebesar 37,74 ( kategori baik) dan sebesar 43,18 (kategori sedang), sedangkan siswa SSB Pondok Pesantren Ali Maksum memperoleh hasil rata-rata sebesar 44,73 (kategori sedang) dan sebesar 50,35 (kategori kurang)
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