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All Journal JSAI (Journal Scientific and Applied Informatics) Al-Balagh : Jurnal Komunikasi Islam
Suhendri Hendri
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Religion Humanities Computer Science & IT Languange, Linguistic, Communication & Media Social Sciences

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PENGARUH IKLIM KOMUNIKASI ORGANISASI DAN KOMUNIKASI ANTARPRIBADI TERHADAP KINERJA PEGAWAI YAYASAN AR-RISALAH AL-KHAIRIYAH TANJUNG MORAWA KABUPATEN DELI SERDANG Suhendri Hendri
Al-Balagh : Jurnal Komunikasi Islam Vol 2, No 1 (2017)
Publisher : Program Pascasarjana Universitas Islam Negeri Sumatera utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37064/ab.jki.v2i1.917

Abstract

Abstract: The purpose of this research is to provide an analytical explanation for; first, The Effect OfOrganizational Communication Climate on Employee Performance . Second, The Effect Of InterpersonalCommunication On Employee Performance. Third, The Effect Of Organizational Communication ClimateAnd Interpersonal Communication On Performance Of Employees At Ar-Risalah Al-Khairiyah FoundationTanjung Morawa District Deli Serdang. With questionaires that had been distributed to 37 employees,the main data to be analyzed were gathered. Data analysis using a quantitative approach with linearregression analysis. Also the data process and its analysis were performed with software SPSS to calculateeffect coefficient and furthermore, to be interpreted.
Pemodelan Pohon Keputusan Menggunakan Algoritma ID3 dalam Pendekatan Data Mining Suhendri Hendri; Rama Saktriawindarta; Nurita Evitarina
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9865

Abstract

The rapid development of information technology has encouraged the use of data mining as a foundation for data-driven decision-making across various sectors, including the karaoke entertainment industry. This study aims to evaluate the performance of the ID3 algorithm in supporting decision support systems through the construction of a decision tree–based classification model. The research method employs the Knowledge Discovery in Databases (KDD) approach, which involves data selection, data transformation, modeling using the ID3 algorithm, and evaluation of decision outcomes. The performance of the method was evaluated based on five key aspects: decision-making capability, classification processing speed, classification result stability, model interpretability, and suitability to user needs. The results indicate that the ID3 algorithm achieved an average success rate of 92%, with the highest performance observed in processing speed and classification stability. These findings demonstrate that the ID3 algorithm is effective, efficient, and highly interpretable, making it suitable for implementation as a classification method in data mining–based decision support systems.
Co-Authors Nurita Evitarina Rama Saktriawindarta