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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal ABDIMAS Budi Darma Jurnal Armada Informatika Ulead : Jurnal E-pengabdian Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Jurnal Kolaborasi Sains dan Ilmu Terapan KETIK : Jurnal Informatika Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Sembiring, Abdul Sani
Universitas Budi Darma, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Other

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Journal : Pendas : Jurnah Ilmiah Pendidikan Dasar

 1 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU TERBAIK MENGGUNAKAN METODE MAUT DENGAN PEMBOBOTAN ROC (STUDI KASUS: SDN 101883 PASAR XIII) Nst, Rizky Perdana; Sembiring, Abdul Sani; Ningsih, Trans
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18051

Abstract

Selecting the best teacher is crucial in the field of education as it motivates educators who have taught students and allows for recognition of their efforts. However, currently, the data collection process is poorly organized, leading to suboptimal outcomes in identifying the best teachers. Therefore, this study uses a decision support system applying the Multi-Attribute Utility Theory (MAUT) to calculate the competency scores for each teacher and rank them accordingly. MAUT, which stands for Multi-Attribute Utility Theory, is used for decision-making by identifying relevant attributes and assigning weights to each attribute based on its importance. The implementation of a decision support system using MAUT is expected to assist in accurately and effectively determining the best teacher at SDN 101883 Pasar XIII. This research aids SDN 101883 Pasar XIII in making structured, accurate decisions regarding the selection of the best teacher. The study results indicate that Salome Pandiangan, S.Pd, with a score of 0.818975, is identified as the best teacher at SDN 101883 Pasar XIII.
ANALISA PERBANDINGAN ALGORITMA PUNCTURED ELIAS CODE DAN TABOO CODE PADA KOMPRESI FILE DOKUMEN Ritonga, Fitri Sarmaito; Sembiring, Abdul Sani; Hutabarat, Sumiaty Adelina
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18121

Abstract

File document compression is a crucial technique for data transmission to reduce file size without losing relevant information. Large file sizes require substantial storage space. Document files are generally larger compared to other text file formats. Due to the large size of docx files, data transmission can be time-consuming. Compression is a technique used to address this issue by reducing the size of data. This study utilizes the Punctured Elias Code and Taboo Code algorithms, each with its own strengths and weaknesses. After compressing with both algorithms, a comparison was performed. The final results indicate that the Taboo Code algorithm is the fastest and most effective for compressing document files, as a smaller total value indicates less effort required by the algorithm in the compression process.
ANALISA BERBANDINGAN KOMPRESI FILE PDF DENGAN MENGGUNAKAN ALGORITMA TABOO CODES DAN ALGORITMA LEVENSTEIN Simanjuntak, Nurul Asmidar; Sembiring, Abdul Sani; Hutabarat, Sumiaty Adelina
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18122

Abstract

With the rapid advancement of scientific knowledge, the way people access information has also changed significantly. The need for information is now met not only through print media but also through electronic media such as e-books. To address issues related to the large size of digital files, such as PDFs, data compression techniques become crucial. Compression is the process of reducing the size of data to be smaller than its original size, making large files with many repeated characters more efficient for storage. This research aims to evaluate the performance of various compression algorithms by measuring the results of compressing PDF files according to specific parameters. The study shows that the Levenstein algorithm generally performs better in producing smaller file sizes compared to the Taboo Codes algorithm.
Co-Authors Adha, Muhammad Hudan Afrilia, Yolanda Agung Lestari Alasi, Tomy Satria Anas, Irfan Ari Maulana Asri Denni M Rajagukguk Dian Anggara Emi Safitri Guidio Leonarde Ginting Hery Sunandar Hutabarat, Hukendik Hutabarat, Sumiaty Adelina Kennedi Tampubolon Kristian Siregar Manalu, Mamed Rofendi Monang Juanda Tua Sihombing Murdani Murdani , Murdani Ndruru, Eferoni Ningsih, Trans Nst, Rizky Perdana Oaber Situmorang Pandi Barita Nauli Simangunsong Pristiwanto, Pristiwanto Purba, Elvitrianim Purba, Tini Octaviani Rahadi Putra Riswan Limbong Ritonga, Fitri Sarmaito Saidi Ramadan Siregar Sakaria Efrata Ginting Siagian, Edward Robinson Sihite, A M Hatuaon Simanjuntak, Nurul Asmidar Suginam Tamba, RL. Harmadi Tarigan, Philipus Taronisokhi Zebua Tiambun Romauli Silalahi Yasir Hasan Yessi Sriani Barus