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SCIENTIFIC ARTICLE PLAGIARISM DETECTION USING THE QUADWORD APPROACH Hari Purwanto; Betesda Sinaga; Iswandir Iswandir; Mohamad Adila Rossa; Abdul Jamil
Jurnal Ilmiah METADATA Vol. 8 No. 1 (2026): Edition January 2026
Publisher : LPPM YPITI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47652/metadata.v8i1.936

Abstract

Plagiarism is defined as the act of taking or presenting another person's work as one's own, regardless of intent. This infraction can be substantiated when supported by robust evidence. Academic works are often targeted by plagiarism, as the constrained writing proficiency among undergraduate students may foster such occurrences. A principal preventive endeavor to mitigate plagiarism within academic works involves the deployment of plagiarism detection applications. A primary preventive measure to mitigate plagiarism in academic works is the utilization of plagiarism detection software. Third-party applications typically require the purchase of a license to optimally access their full features. Cognizant of this limitation, the author developed an alternative application, although its capabilities are restricted to the detection of internal manuscripts. The application engineered herein implements the Rabin-Karp algorithm, leveraging a quadword approach. The concept of the quadword itself incorporates a phrase-based technique, functioning by generating a collection or set comprising four consecutive words within the source text
Peningkatan Performa Classification and Regression Tree Menggunakan Bagging pada Diagnosis Penyakit Jantung Kokom Hera Fitriyana; Fitri Ayuning Tyas; Abdul Jamil
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.12439

Abstract

Heart disease is one of the leading causes of death worldwide, necessitating fast and accurate diagnostic methods for effective prevention. One approach that can be used is data mining, particularly classification methods to analyze health data. The Classification and Regression Tree (CART) algorithm is known for its interpretability but has a drawback in terms of model stability against data variation. To address this issue, the Bootstrap Aggregating (Bagging) technique is applied to improve the model’s stability and accuracy. This study aims to implement and evaluate the effectiveness of the Bagging technique in enhancing the performance of the CART algorithm for heart disease diagnosis. The data used in this study consists of three datasets available on the Kaggle platform: Heart Disease, Heart Disease Cleveland, and Heart Disease Prediction. The model is built under two conditions: using default parameters and using parameters optimized through the Grid Search method. The research process includes data preprocessing (data type adjustment, handling missing values, and outlier detection), training of two types of classification models (single CART and CART with Bagging), and evaluation based on accuracy metrics. The results show that the application of the Bagging technique consistently improves the accuracy of the CART algorithm. Under default parameters, accuracy increased from 72.89% to 78% (Heart Disease), 81.89% to 85.78% (Heart Disease Cleveland), and 77.44% to 82.44% (Heart Disease Prediction). With tuned parameters, accuracy increased from 75% to 84% (Heart Disease), 77% to 83% (Heart Disease Cleveland), and remained at 83% (Heart Disease Prediction). Therefore, the Bagging technique is proven effective in enhancing the accuracy and stability of the CART model for heart disease diagnosis.
The Qualitative Study of Information System Utilization in Organizational Decision-Making Joko Sarono; Abdul Jamil; Emmie Fatkhunnajah; Nurkomar Hidaya; Purwanto Purwanto
Jurnal Indonesia Sosial Sains Vol. 7 No. 3 (2026): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v7i3.2282

Abstract

Background: The use of information systems has become a crucial element in supporting organizational decision-making amidst the complexity of the business environment and demands for efficiency. Objective: This study aims to explore how information systems are utilized in organizational decision-making processes, as well as to identify the benefits, challenges, and factors contributing to their success. Methods: The study used a qualitative approach with a case study method in an organization that has implemented an integrated information system. Data were collected through in-depth interviews, observations, and analysis of internal organizational documents. Results: The results indicate that information systems play a significant role in improving decision quality by providing accurate, timely, and relevant data. However, the use of information systems has not been fully optimized due to limited user competency, resistance to change, and data integration constraints. Conclusion: This study provides a conceptual contribution to understanding the role of information systems in organizational decision-making and provides practical implications for system managers and organizational leaders in improving the effectiveness of information technology utilization.
Religiosity Integration in Patient Experience and its Impact on Positive Word of Mouth: A Phenomenological Study in Islamic Hospitals in Indonesia Emmie Fatkhunnajah; Abdul Jamil; Yanthy Setyawati; Pradhana Jayasukmana; Suwandono Suwandono; Nita Mustika
All Fields of Science Journal Liaison Academia and Sosiety Vol. 5 No. 2: Juni 2025 Part 2
Publisher : Lembaga Komunikasi dan Informasi Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58939/afosj-las.v5i2.914

Abstract

p em The aim of this study is to fill the gap where most previous studies are still quantitative and focus on the influence of religiosity on patient satisfaction or loyalty statistically There has been no research that explicitly explores how patients internalize religiosity in their healthcare experiences and how it drives positive Word of Mouth WOM behaviors The internalization of religiosity is interpreted as how spiritual beliefs worship practices and moral values believed by patients also shape the way they feel judge and give meaning to the quality of services received Using a qualitative phenomenological method this study investigated the life experiences of patients with strong religious commitments who had previously expressed positive opinions about hospital services Participants were selected by purposive sampling based on the following criteria: 1 having been treated in a faith based hospital 2 identifying themselves as having a high level of religiosity and 3 actively conveying positive testimonials Eight respondens from faith based hospitals participated in in depth interviews Data analysis uses interpretive phenomenological analysis using three level coding namely open coding axial coding and selective coding to identify core themes The results of the study show that religiosity plays an important role in shaping the meaning of patient experiences in faith based hospitals Religious and meaningful experiences increase emotional and spiritual satisfaction which ultimately encourages positive Word of Mouth WOM This study contributes to the healthcare marketing management literature by emphasizing the importance of value based marketing strategies and differentiation through spiritual service excellence em p
Model Interpretive Structural Modeling (ISM) Terhadap Faktor Faktor yang Mempengaruhi Motivasi Intrinsik dan Keterbukaan Dosen Terhadap Umpan Balik di Lingkungan Perguruan Tinggi Sri Mulyati; Susan Kristinawati; Irpan Hidayat Hasibuan; Abdul Jamil
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 4 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v7i4.12035

Abstract

Penelitian ini bertujuan untuk membangun pemahaman yang lebih mendalam mengenai struktur keterkaitan antar faktor-faktor utama yang memengaruhi motivasi intrinsik serta keterbukaan terhadap umpan balik pada dosen di lingkungan perguruan tinggi. Dengan menggunakan pendekatan Interpretive Structural Modeling (ISM), delapan variabel utama dianalisis secara komprehensif, yaitu: kepemimpinan transformasional, dukungan institusi, pelatihan profesional, lingkungan kerja akademik, growth mindset, self-efficacy, motivasi intrinsik, dan keterbukaan terhadap umpan balik. Hasil pemodelan ISM mengungkapkan bahwa variabel-variabel institusional seperti kepemimpinan transformasional dan dukungan institusi menempati posisi dasar dalam struktur hierarki dan berperan sebagai penggerak utama. Variabel-variabel ini secara tidak langsung memengaruhi terbentuknya karakteristik psikologis individu seperti growth mindset dan self-efficacy, yang selanjutnya menjadi landasan bagi munculnya motivasi intrinsik dan sikap terbuka terhadap umpan balik sebagai variabel puncak. Penelitian ini menyoroti pentingnya peran kepemimpinan akademik dan lingkungan organisasi yang suportif dalam menciptakan iklim kerja yang sehat, yang pada akhirnya mampu membangun motivasi internal serta kesiapan dosen untuk menerima masukan secara konstruktif. Temuan ini diharapkan dapat menjadi pijakan awal dalam merancang strategi pengembangan sumber daya manusia dosen yang lebih terstruktur dan kontekstual, terutama dalam menghadapi tantangan dinamis pendidikan tinggi di era digital.
Religiosity Integration in Patient Experience and its Impact on Positive Word of Mouth: A Phenomenological Study in Islamic Hospitals in Indonesia Emmie Fatkhunnajah; Abdul Jamil; Yanthy Setyawati; Pradhana Jayasukmana; Suwandono Suwandono; Nita Mustika
All Fields of Science Journal Liaison Academia and Sosiety Vol. 5 No. 2: Juni 2025 Part 2
Publisher : Lembaga Komunikasi dan Informasi Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58939/fvfr6j68

Abstract

The aim of this study is to fill the gap where most previous studies are still quantitative and focus on the influence of religiosity on patient satisfaction or loyalty statistically. There has been no research that explicitly explores how patients internalize religiosity in their healthcare experiences and how it drives positive Word of Mouth (WOM) behaviors. The internalization of religiosity is interpreted as how spiritual beliefs, worship practices, and moral values believed by patients also shape the way they feel, judge, and give meaning to the quality of services received. Using a qualitative phenomenological method, this study investigated the life experiences of patients with strong religious commitments who had previously expressed positive opinions about hospital services. Participants were selected by purposive sampling based on the following criteria: (1) having been treated in a faith-based hospital, (2) identifying themselves as having a high level of religiosity, and (3) actively conveying positive testimonials. Eight respondens from faith-based hospitals participated in in-depth interviews. Data analysis uses interpretive phenomenological analysis using three-level coding, namely open coding, axial coding, and selective coding to identify core themes. The results of the study show that religiosity plays an important role in shaping the meaning of patient experiences in faith-based hospitals. Religious and meaningful experiences increase emotional and spiritual satisfaction, which ultimately encourages positive Word of Mouth (WOM). This study contributes to the healthcare marketing management literature by emphasizing the importance of value-based marketing strategies and differentiation through spiritual service excellence.