Abstract:Introduction: The rapid development of artificial intelligence (AI) and digital transformation has created both challenges and opportunities for graduate employability, making digital literacy increasingly important in the…
he labor market. This study aims to analyze the effect of AI technological disruption and digital literacy on the employability of FEBI UIN Ar-Raniry alumni.
Methods: This research employs a descriptive quantitative approach involving 138 alumni selected through snowball sampling. Data were analyzed using validity and reliability tests, classical assumption tests, multiple linear regression, and hypothesis testing (t-test, F-test, and coefficient of determination) using RStudio.
Result: The findings demonstrate that AI technological disruption and digital literacy have a significant positive effect on employability, both individually and simultaneously.
Abstract:This study investigates the impact of job preferences on self-perceived employability (SPE) among university graduates in Bandung, Indonesia. Unemployment in Indonesia, particularly among fresh graduates, has highlighted…
structural issues in the labor market, including skill mismatches and insufficient job creation. Job preferences, including factors such as salary, work-life balance, and career development, are crucial in determining an individual’s ability to secure desirable employment. This research, based on a sample of 280 graduates from various universities, reveals that well-defined and realistic job preferences positively influence SPE. The analysis shows a significant and strong relationship between job preferences and employability, with a high path coefficient (0.986) and a T-statistics value far exceeding the significance threshold. The results highlight the importance of aligning personal career goals with market demands, enhancing individuals’ self-confidence in their employability. Educational institutions also play a key role in shaping job preferences and employability by providing skills that match labor market needs. The study underscores the need for better integration between education and industry to improve graduates’ market readiness. Universities in Bandung should integrate skill training aligned with labor market demands, career guidance, industry trend seminars, and job search strategies to ensure graduates possess relevant preferences and skills for the workforce. This study employed the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method to analyze the factors influencing graduate employability preferences. As a recommendation, higher education institutions and policymakers should emphasize industry collaboration and adopt policies that enhance graduates’ readiness for the evolving job market.
Abstract:Strategi dan praktik manajemen madrasah yang bermutu dan efektif dalam mewujudkan pendidikan berkualitas. Penelitian ini menggunakan metode studi kepustakaan dengan pendekatan library reseach yang berkaitan dengan manajemen…
men pendidikan, termasuk buku, artikel, dan laporan penelitian. Hasil studi menunjukkan bahwa peningkatan kualitas guru melalui pelatihan rutin, serta peningkatan partisipasi orang tua dalam kegiatan madrasah, merupakan faktor kunci dalam menciptakan lingkungan belajar yang kondusif. Selain itu, pengembangan kurikulum yang adaptif dan relevan dengan kebutuhan siswa serta peningkatan fasilitas dan sumber daya juga sangat penting. Madrasah perlu melakukan evaluasi berkala terhadap kurikulum yang diterapkan untuk memastikan kesesuaiannya dengan perkembangan zaman. Praktik manajemen kesiswaan yang baik, termasuk melibatkan siswa dalam pengambilan keputusan terkait kegiatan ekstrakurikuler, meningkatkan rasa tanggung jawab mereka kepada pendidikan. Kerjasama dengan masyarakat juga menjadi aspek krusial dalam manajemen madrasah. Melibatkan berbagai pemangku kepentingan, seperti alumni dan komunitas lokal, dapat memberikan dukungan tambahan bagi program pendidikan. Dengan menerapkan strategi-strategi ini secara konsisten, madrasah dapat mencapai tujuan pendidikan yang lebih tinggi dan menghasilkan lulusan yang siap menghadapi tantangan global di masa depan.
Abstract:Classical texts, or 'Kitab Kuning', are one of the main sources of Islamic knowledge after the Qur'an and Hadith. Islamic boarding schools (Pesantren) are educational institutions that consistently preserve the study of…
classical texts for their students. The purpose of this study is to provide training and understanding to the students, especially prospective alumni, about the importance of classical texts as a means to strengthen Islamic knowledge, which will serve as a foundation for engaging with society. The results of the program implementation show that this training has a significant impact on the students in understanding the importance of classical texts as a primary source of Islamic education, particularly in addressing various religious issues commonly encountered in society. It also helps students realize that the study of classical texts is not outdated or boring, but rather enjoyable and enriching in expanding their Islamic knowledge
Abstract:Alumni data management is an important aspect for educational institutions, especially vocational high schools that focus on graduates’ readiness for the workforce. SMK Negeri 1 Kisaran still faces problems in managing alumni…
alumni data and tracking career paths due to manual and unintegrated processes. This study aims to implement a web-based alumni and career tracking information system to improve the effectiveness of alumni data management, facilitate communication between the school and alumni, and support graduate career tracking. The research methods used include observation and interviews with school staff and alumni. The system was developed using PHP programming language and MySQL database, with system design based on Unified Modeling Language (UML). The results show that the developed system is able to manage alumni data centrally, provide career path information, and generate accurate and accessible alumni reports. Therefore, this system can serve as an effective solution to improve alumni information services at SMK Negeri 1 Kisaran
Abstract:Abstract: Getting a job is a goal by graduates after completing their studies. But in this process, getting a job inevitably requires waiting time. If one measure of success in the field of education of a tertiary institution…
ution is the number of graduates entering the workforce. So to implement this goal, alumni data is needed that can be used in decision making. Existing tracer study data at the STMIK Royal Career Service Center (LPLK) have not been utilized optimally by the campus. If we dig deeper, we will get some knowledge from this data by applying data mining techniques. Therefore, it is clear that using data mining to predict alumni waiting time is important for a university to determine its strategy. The purpose of this study is to predict the waiting time for alumni to get a job using data mining by applying the Naive Bayes algorithm. Training and testing data were taken from 193 data tracer study alumni of STMIK Royal in 2021 who had graduated and were working. The criteria used to predict alumni waiting time are gender, major, year of entry, year of graduation, GPA, and length of time getting a job. The results of modeling using the Naive Bayes algorithm produce an accuracy of 94%.
Keyword: data mining; naive bayes; waiting time
Abstrak: Mendapatkan pekerjaan merupakan tujuan oleh lulusan setelah menyelesaikan studi mereka. Tetapi dalam proses ini, mendapatkan pekerjaan pasti membutuhkan waktu tunggu. Jika salah satu ukuran keberhasilan di bidang pendidikan suatu perguruan tinggi adalah banyaknya lulusan yang masuk ke dunia kerja. Maka untuk menerapkan tujuan itu, maka diperlukan data alumni yang dapat digunakan dalam pengambilan keputusan. Data tracer study yang ada di Lembaga Pusat Layanan Karir (LPLK) STMIK Royal belum dimanfaatkan secara optimal oleh kampus. Jika kita gali lebih dalam, kita akan mendapatkan suatu pengetahuan dari data ini dengan menerapkan teknik data mining. Oleh karena itu, jelas bahwa menggunakan data mining untuk memprediksi waktu tunggu alumni penting bagi suatu perguruan tinggi untuk menentukan strateginya. Tujuan dari penelitian ini adalah untuk memprediksi waktu tunggu alumni mendapatkan pekerjaan menggunakan data mining dengan menerapkan algoritma naive bayes. Data training dan testing diambil dari 193 data tracer study alumni STMIK Royal tahun 2021 yang sudah lulus dan bekerja. Kriteria yang digunakan untuk memprediksi waktu tunggu kerja alumni yaitu jenis kelamin, jurusan, tahun masuk, tahun lulus, IPK, dan lama mendapatkan pekerjaan. Hasil pemodelan dengan menggunakan algoritma naive bayes menghasilkan akurasi sebesar 94%.
Kata Kunci: data mining; naive bayes; waktu tunggu
Abstract:The problems faced by the UMKM Corner of the Kasin Market in Tanjungrejo Village, Sukun District, Malang City are: (1) Making marketing plans (digital marketing) for UMKM Kota Malang products that are members of the UMKM…
Corner Pasar Kasin (2) Completing digital marketing by creating an account marketplace. (3) Financial records are needed digitally to make it easier to understand financial conditions, make decisions through financial reports
The solution to the problem is assistance to UMKM Corner in terms of: (1) assistance in marketing planning through digital marketing (2) assisting and training digital marketing through the marketplace. (3) help, train the use of the simple financial application to record sales and procurement of merchandise finance to financial reports
Abstract:Abstract: Software quality analysis is essential to ensure applications are reliable, efficient, and meet user needs. The FURPS+ model (Functionality, Usability, Reliability, Performance, Supportability, plus) provides a…
comprehensive framework for evaluating software quality. This study analyzes the implementation of Software Quality Assurance (SQA) in the SKEK UINSA application, a Learning Management System (LMS) designed to record extracurricular activities of UINSA students. With 100 respondents (lecturers, students, and alumni), the research employs a quantitative approach to examine both functional and non-functional aspects. The results show that functionality and usability aspects scored an average of 71%, reliability 66%, performance 61%, supportability 79%, and additional factors (plus) 64%. Overall, the SKEK UINSA application demonstrates good quality in terms of functionality, ease of use, performance, and flexibility.
Keywords: FURPS+; Reliability; SKEK; Validity; Quantitative Method
Abstrak: Analisis kualitas perangkat lunak penting untuk memastikan aplikasi andal, efisien, dan sesuai kebutuhan pengguna. Model FURPS+ (Functionality, Usability, Reliability, Performance, Supportability, plus) menawarkan kerangka komprehensif untuk evaluasi kualitas perangkat lunak. Penelitian ini menganalisis penerapan Software Quality Assurance (SQA) pada aplikasi SKEK UINSA, aplikasi semacam LMS (Learning Management System) untuk mencatat kegiatan ekstrakurikuler mahasiswa UINSA. Dengan 100 responden (dosen, mahasiswa, dan alumni), penelitian menggunakan pendekatan kuantitatif untuk mengkaji aspek fungsional dan non-fungsional. Hasilnya, aspek functionality dan usability memiliki persentase rata-rata 71%, reliability 66%, performance 61%, supportability 79%, dan faktor tambahan (plus) 64%. Secara keseluruhan, aplikasi SKEK UINSA menunjukkan kualitas baik dalam fungsi, kemudahan penggunaan, kinerja, dan fleksibilitas.
Kata kunci: FURPS+; Metode Kuantitatif ; SKEK; Validitas; Reliabilitas
Abstract:Abstract: Alumni data is one of the most important data that can be used as a reference for the quality of education at a university. XYZ University maintains alumni data on a regular basis, but the alumni data continues…
es to grow each semester. The Alumni Data Report submission remains suboptimal and does not contain information to help universities assess the outstanding qualities of individual alumni. The purpose of the research conducted here is to analyze the application of business intelligence systems in the management of XYZ University's alumni data within the framework of XYZ University's quality assessment and management. The focus of this research is on the analysis of functional and informational requirements. The analysis process for this study is based on the Business Intelligence Roadmap methodology, which includes the inference or business justification, planning, and analysis phases. The study analyzed plans to implement a business intelligence system to manage alumni data in a way that meets the information needs of decision makers. Dashboard menjelaskannya secara visual, baik dari segi navigasi peta maupun diagram yang mudah dibaca. Dapat dilihat sebaran alumni di seluruh Indonesia yang ditandai dengan warna yang diarsir yaitu tersebar di wilayah Republik Indonesia Bagian Tengah dan Barat. Dari segi gender, data alumni menyajikan bahwa tingkat kelulusan setiap tahunnya sebagian besar berjenis kelamin laki-laki dan data tertinggi pada tahun 2017 yaitu 2.960 alumni.
Keywords: alumni data, business intelligence, tableau, visualization
Abstrak : Data alumni merupakan salah satu data penting yang dapat dijadikan acuan mutu pendidikan pada suatu perguruan tinggi. Universitas XYZ memelihara data alumni secara rutin, namun data alumni terus bertambah setiap semesternya. Penyampaian Laporan Data Alumni masih kurang optimal dan tidak memuat informasi untuk membantu universitas menilai kualitas luar biasa dari individu alumni. Tujuan penelitian yang dilakukan disini adalah untuk menganalisis penerapan sistem intelijen bisnis dalam pengelolaan data alumni Universitas XYZ dalam rangka penilaian dan pengelolaan mutu Universitas XYZ. Fokus penelitian ini adalah pada analisis kebutuhan fungsional dan informasional. Proses analisis penelitian ini didasarkan pada metodologi Business Intelligence Roadmap yang meliputi tahap inferensi atau pembenaran bisnis, perencanaan, dan analisis. Studi ini menganalisis rencana penerapan sistem intelijen bisnis untuk mengelola data alumni sedemikian rupa sehingga memenuhi kebutuhan informasi para pengambil keputusan. Dashboard menjelaskannya secara visual, baik dari bidang navigasi peta maupun diagram yang mudah dibaca. Dapat dilihat sebaran alumni di seluruh Indonesia yang ditandai dengan warna yang diarsir yaitu tersebar di wilayah Republik Indonesia Bagian Tengah dan Barat. Dari segi gender, data alumni menyajikan bahwa tingkat kelulusan setiap tahunnya sebagian besar berjenis kelamin laki-laki dan data tertinggi pada tahun 2017 yaitu 2.960 alumni.
Kata Kunci: business intelligence, data alumni, tableau, visualisasi
Abstract:Abstract: The tracer study is a method of alumni tracker carried out by state universities and private universities .A function of the tracer study is a source of information and to know the presence of alumni and provides…
es information and an evaluation for stakeholders to know the quality of a college education .The implementation of the tracer study at the university of dharmawangsa is still done manually using google form that is facility from google , so the implementation in collecting the inefficient .Researchers to develop a web based information system for the purpose of completing deficiencies in the implementation of the tracer study. The goal is to ease the tracer study for stakeholders to an efficiently..
Keywords: alumni; tracer; tracer study; stakeholders; web
Abstrak: Tracer study adalah suatu metode pelacakkan alumni yang dilaksanakan oleh perguruan tinggi negeri dan perguruan tinggi swasta. Fungsi dari tracer study adalah sebagai sumber informasi dan untuk mengetahui keberadaan dari alumni serta dapat menyediakan informasi dan bahan evaluasi bagi stakeholders untuk mengetahui kualitas pendidikan perguruan tinggi. Pelaksanaan tracer study di Universitas Dharmawangsa masih dilakukan secara manual menggunakan google form yang merupakan fasilitas dari google, sehingga pelaksanaannya dalam menghimpun data kurang efisien. Peneliti bermaksud membangun suatu sistem informasi berbasis web dengan tujuan untuk menyelesaikan kekurangan dalam pelaksanaan tracer study. Tujuannya adalah untuk memudahkan bagi stakeholders untuk melaksanakaan tracer study secara efisien.
Kata kunci: alumni; pelacakan; tracer study; web