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Showing 133 articles found for "Selection"

QUALITY MANAGEMENT IN HIGHER EDUCATION: SYSTEMATIC LITERATURE REVIEW AND META ANALYSIS

Nasrudin, Anas, Tarihoran, Naf'an, Nugraha, Enung
Abstract: Higher education currently faces complex challenges in efforts to improve the quality of educational services amidst increasingly fierce global competition. This research aims to conduct a systematic literature review and… d meta-analysis of various current research on higher education quality management to produce a comprehensive model that integrates various approaches and considers local context and religious values. The research method uses a qualitative approach with Systematic Literature Review (SLR) and Meta-Analysis, implementing the PRISMA protocol as a methodological framework in literature selection. Of the initial 59,422 articles searched, 7 high-quality articles were selected for comprehensive review. The meta-analysis results show a significant positive correlation between quality management factors and the quality of higher education with an overall effect size of r = 0.60 (95% CI [0.52, 0.68]). Transformative leadership emerged as the most influential factor (r = 0.68), followed by quality culture (r = 0.63) and TQM implementation (r = 0.62). Moderate to high heterogeneity (I² = 67.3%) indicates the need for a contextual rather than standard quality management approach. These findings suggest a holistic quality management model that integrates TQM principles, CIPP evaluation model, transformative leadership, outcome-based curriculum development, stakeholder involvement, and integration of religious values ​​according to institutional characteristics.  

THE IMPACT OF TAWAKAL AND DHIKR ON MENTAL HEALTH AND STRESS IN MODERN LIFE

Isdianto, Andik, Al Indunissy, Nuruddin, Fitrianti, Novariza
Abstract: This study explores the psychological fortification offered by the Islamic practices of tawakal (reliance on God) and dzikir (remembrance of God) in addressing modern challenges, such as increased anxiety due to technological… gical advances and complex social needs. Employing a literature review methodology, this research investigates the influence of these practices on mental health and behavioral implications. The selection of peer-reviewed articles published within the last ten years involved databases like PubMed and Google Scholar with keywords related to Islamic spirituality and mental health. This method allowed a comprehensive analysis of contemporary studies, focusing on the therapeutic benefits of tawakal and dzikir in clinical settings. Results indicate that tawakal significantly reduces anxiety by fostering a relinquishing of control and instilling peace of mind, while dzikir enhances emotional stability through its meditative repetition of sacred phrases, promoting relaxation and reducing stress responses. Both practices not only support spiritual well-being but also offer practical coping mechanisms in stressful situations. The conclusion underlines the potential integration of tawakal and dzikir into conventional psychotherapeutic practices. It suggests further exploration into the incorporation of these spiritual elements within mental health frameworks to enhance therapeutic outcomes and patient recovery. This research contributes to the broader discourse on the intersection of spirituality and psychology, highlighting the relevance of traditional spiritual practices in contemporary mental health paradigms.

THE INFLUENCE OF ACCOUNTING INFORMATION SYSTEMS, AUDIT QUALITY AND KNOWLEDGE ON THE ACCURACY OF AUDIT OPINION (CASE STUDY: ACCOUNTING FIRM IN MEDAN CITY)

Sartika Siagian, Dewi, Thezar Fiqih Hidayat Hasibuan, Nuzullina, Sari
Abstract: This study aims to determine the effect of accounting information systems, audit quality and knowledge partially on the accuracy of audit opinion provision at Public Accounting Firms in Medan. The sample selection method… in this study was carried out using purposive sampling. The sample was taken as many as 45 respondents from a total population of 244 auditors working at 20 Public Accounting Firms in Medan. The independent variables in this study are accounting information systems (X1), audit quality (X2) and knowledge (X3), while the dependent variable is the accuracy of audit opinion provision. Data analysis used multiple linear regression analysis. The results of the study indicate that the Accounting Information System has a significant effect on the accuracy of audit opinion provision at Public Accounting Firms in Medan. Audit quality has a significant effect on the accuracy of audit opinion provision at Public Accounting Firms in Medan. Knowledge has a significant effect on the accuracy of audit opinion provision at Public Accounting Firms in Medan. Accounting Information Systems, audit quality and knowledge simultaneously have a significant effect on the accuracy of audit opinion provision at Public Accounting Firms in Medan.

DECISION SUPPORT SYSTEM FOR SELECTION OF SUPERIOR AND COMPETENT EMPLOYEES USING ANALYTICAL HIERARCHY PROCESS METHOD (AHP) AT UMKM DJOERAGAN AYAM PENYET IN EAST JAKARTA

Yafi, Muhammad Reyhan, Yuliasari, Yuliasari, Supratikta, Hadi
Abstract: This study aims to implement a Decision Support System (SPK) using the Analytical Hierarchy Process Method (AHP) in selecting employees of Micro, Small and Medium Enterprises (MSMEs) Djoeragan Ayam Penyet East Jakarta. The… he AHP method is used to facilitate more objective and structured decision making in the employee selection process. This research involved interviews with MSME owners and related staff, direct observation in the employee selection process, as well as literature studies to gain an in-depth understanding of the concepts and applications of the AHP Method in the context of employee selection. The results show that the implementation of SPK using the AHP Method can improve objectivity, consistency, and efficiency in the employee selection process. Suggestions for the development and implementation of an effective SDM are also presented. This research contributes to the development of more scientific and measurable decision-making methods in human resource management, especially in the context of MSMEs.

IMPLEMENTASI E-GOVERNMENT DALAM PEMANFAATAN APLIKASI MOBILE PASPOR (M-PASPOR) PADA KANTOR IMIGRASI KELAS II TPI TANJUNG UBAN

Wulandari, Riski Peni, Winarti, Novi, Darmawan, Eki
Abstract: M-Paspor aims to make passport services more transparent, accountable and fast. However, in the process of its application as a public servant, the socialization provided has not been able to fully reach the community. So… o people have to come repeatedly to just ask questions related to the use of the application. This study aims to describe the implementation of e-government in the use of m-paspor applications at the Immigration Office Class II TPI Tanjung Uban. The research method used is a qualitative method with a descriptive approach. The theory used from Harvard JFK School of Government, with several indicators including Support, Capacity and Value. The results showed that the implementation of e-government in the use of m-paspor applications has run in accordance with the objectives but has not been optimal in one of the indicators. In the Support indicator, support in the form of SOP’s and m-paspor policies, direct socialization and through social media as well as supporting infrastructure at the Immigration Office Class II TPI Tanjung Uban is quite good. In the Capacity indicator, the availability of financial resources is intended for socialization needs, the information technology infrastructure in the  service process looks adequate to facilitate the community, but in the process of implementing the application there are still several obstacles, including frequent  application errors, payment codes do not come out, limited quotas and so on, as well as the availability of human resources derived from receiving CPNS selection analysis S1 immigration and has been provided with periodic training by the Directorate General of Immigration. The Value indicator is considered good, because both officers and the public have been able to feel the convenience with the m-paspor application.

Pemanfaatan K-Means Clustering untuk Optimalisasi Penjualan Produk Roti Berdasarkan Data Penjualan Harian

Irwan, Adi Panca Pamungkas, Wiwin Handoko
Abstract: Bread product sales have become an important aspect of the bakery business, influenced by fluctuations in demand that are not easily predictable. Efficient sales management requires a deep understanding of sales patterns.… . This study aims to optimize bread product sales by using the K-Means Clustering algorithm to analyze daily sales performance at Toko Roti Amin. The data used includes sales volume and transaction frequency for bread products, consisting of 356 data points. The results show that the bread products can be grouped into three clusters: 129 data in the “Good Sales” cluster, 28 data in the “Moderate Sales” cluster, and 199 data in the “Low Sales” cluster. These findings assist bakery owners in managing stock, production planning, and more targeted marketing strategies. Although there are limitations in using K-Means Clustering, such as dependence on the initial centroid selection, this study proves that applying this technique can enhance inventory management and maximize profit in the bakery business.

Klasifikasi Kelayakan Penerima Program Indonesia Pintar Menggunakan Metode Naive Bayes di SMP Swasta IT Al-Ikhsan

Mayang Puspita Sari, Nadia Khairunnisa, Sarmila
Abstract: Education plays an important role in improving the quality of human life, but economic constraints often prevent many students from continuing their education. The Smart Indonesia Program (PIP) was launched to address these… ese issues by providing educational assistance. However, in its implementation, the selection of PIP recipients at IT Al-Ikhsan Private Junior High School is still inaccurate. This research aims to classify the eligibility of PIP recipients using the Naive Bayes method. This method is applied to student data from the school's Dapodik in 2024 which consists of 265 students. The data is processed through CRISP-DM data mining stages, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. As a result, the Naive Bayes model showed an accuracy of 92.31% with a precision value for the “Yes” class of 89%, recall 100%, and F1-score 94%. In conclusion, variables such as means of transportation, KPS and KIP recipients, parents' income, and distance from home to school affect the eligibility of PIP recipients.

Penerapan Naive Bayes Untuk Prediksi Penerima BLT di SD Swasta IT ABI Husni

Ayu Wandira, Nadhilla Rahmadani, Ummi Kalsum
Abstract: The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement… ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.

Efektivitas Metode Demonstrasi dalam Meningkatkan Pemahaman Siswa

Nor Habibah, Muhammad Yasin
Abstract: The success of a lesson is inseparable from the selection of methods presented, one of which is using the demonstration method, where students and teachers must be actively involved in the learning process. The author describes… scribes the demonstration method in fiqh learning. 1) How is the effectiveness of the demonstration method in fiqh learning at MTs Negeri Insan Cendekia. 2) How is the effectiveness of the use of demonstration methods in student understanding of fiqh learning by using descriptive analysis so as to determine the effectiveness of the use of demonstration methods in Fiqh subjects. The findings in this study are that students show proficiency because they are able to analyse the material presented by the teacher, but there are obstacles encountered is the presence of inattentive students who are unable to answer questions because of lack of focus.

Prioritisasi Turunan Aaptamine sebagai Kandidat Antibakteri melalui Analisis Swiss-ADME dan Protox-II

Annisa Elcentia Fajarwati, Diana Andari
Abstract: Antimicrobial resistance has driven the urgent need to develop new antibacterial candidates with favorable efficacy, pharmacokinetic properties, and safety profiles. Aaptamine derivatives, secondary metabolites isolated… from marine sponges of the genus Aaptos, have demonstrated potential as drug candidates; however, studies evaluating their drug-likeness, Absorption, Distribution, Metabolism, and Excretion (ADME) properties, and toxicity profiles remain limited. This study aimed to prioritize aaptamine, demethyl(oxy)aaptamine, and isoaaptamine as potential antibacterial candidates through SwissADME and ProTox-II analyses using an in silico approach. The results demonstrated that all three compounds satisfied the Lipinski's Rule of Five criteria for drug-likeness, exhibited high gastrointestinal absorption, and achieved a bioavailability score of 0.55. All compounds were predicted to belong to toxicity class 4, with predicted LD₅₀ values of 1300 mg/kg for aaptamine, 500 mg/kg for demethyl(oxy)aaptamine, and 1350 mg/kg for isoaaptamine, while none showed hepatotoxic or cytotoxic properties. The integrated analysis indicated that isoaaptamine exhibited the most balanced drug-likeness, ADME profile, and safety characteristics, making it the highest-priority antibacterial candidate. This study concludes that the integration of SwissADME and ProTox-II provides an effective preliminary approach for screening marine natural product-derived drug candidates. The novelty of this study lies in the integrated application of drug-likeness, ADME, and toxicity analyses to systematically prioritize three aaptamine derivatives, thereby providing a more comprehensive lead compound selection strategy for antibacterial drug discovery.