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All Journal JURNAL MAHAJANA INFORMASI KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer INFOKUM Jurnal Info Sains : Informatika dan Sains LOFIAN: Jurnal Teknologi Informasi dan Komunikasi ULINA: Jurnal Pengabdian kepada Masyarakat "Journal of Data Science
Pasaribu, Maranata
Universitas Mandiri Bina Prestasi
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences Other

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Bijak Dan Cerdas Bersosial Media Di Era Keterbukaan Informasi Di Desa Simanindo Kecamatan Simanindo Kabupaten Samosir Sartana; Maranata Pasaribu; Sariadin Siallagan; Fauzi Haris Simbolon; Jaidup Banjarnahor
ULINA: Jurnal Pengabdian kepada Masyarakat Vol 2 No 1 (2024): Januari
Publisher : Universitas Mandiri Bina Prestasi (UMBP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/ulina.v2i1.232

Abstract

In today's era of open information, society's need for information is increasingly urgent and important. This encourages various elements of society to demand their basic rights, especially the right to obtain information. The public's need for information is a basic right for every person in order to develop their personal qualities and in order to live their social life. Social media or what is also known as social networking is part of new media. It is clear that the interactive content in new media is very high, thus allowing a lot of misuse in conveying information and messages which results in misinformation among fellow social media users and even gives rise to misguided understandings (hoaxes) and hate speech. For this reason, policy and intelligence are needed in using social media so that the information sent and received is quality information and not misleading. By carrying out socialization and counseling wisely and intelligently using social media among the community, it is hoped that it can help the community (especially in Simanindo Village, Simanindo sub-district, Samosir Regency) in using good, healthy and high-quality social media.
Decision support system in choosing tour packages and travel reservations using simple additive weight (SAW) method on Berkat Hemat Wisata Fauzi H. Simbolon; Maranata Pasaribu; Sariadin Siallagan
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.4124

Abstract

Travel activities' growth as an effort to seek balance, harmony, and happiness with the environment has intensified competition in the tourism industry. Therefore, this study employs the Simple Additive Weighting (SAW) method to aid in selecting travel packages and reservations. This method enables the assessment of alternative performances based on specified criteria such as hotel class, package price, number of tours, and tour duration. The SAW process involves normalizing decision matrices and summing matrix multiplications with a weight vector, resulting in alternative rankings from the largest to the smallest. The case study demonstrates that the selection of travel packages is conducted by assigning weights to each criterion, such as hotel class, package price, number of tours, and tour duration. The final results reveal alternative rankings, facilitating decision-makers in choosing travel packages that align with their preferences. By utilizing the SAW method, this decision support system streamlines the assessment and selection of travel packages, enhancing service quality and consumer satisfaction in the tourism industry.
Semi-public watermarking digital implementation in the concealment of text messages Sitompul, Noferianto; Maranata Pasaribu
Jurnal Info Sains : Informatika dan Sains Vol. 11 No. 1 (2021): March, Informatics and Science
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (681.314 KB) | DOI: 10.54209/infosains.v11i1.36

Abstract

The purpose of this study is to generate watermarking of an input image. The watermarking process will begin with the process of reading color image pixels. After that, the process will be continued by calculating the step message value inserted and inserting all the necessary values in the watermarking checking process. In the event of an attack, then at the time of watermarking formation, a specific noise value (randomly generated) will be calculated to be inserted into the image. After the process of watermarking formation, then the process can be continued with checking watermarking and extracting messages.
Development of a Web-Based Decision Support System for the Selection of Computer Laboratory Assistant Candidates Using Grey Relational Analysis Fauzi H. Simbolon; Maranata Pasaribu; Sariadin Siallagan; Jenheri Rejeki Tarigan
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Selecting computer laboratory assistant candidates is a multi-criteria decision problem because the decision must simultaneously consider academic performance, subject mastery, technical competence, interpersonal communication, and teaching ability. This study aims to develop a web-based Decision Support System using Grey Relational Analysis (GRA) to produce an objective, transparent, and traceable candidate ranking. The study applies a quantitative-computational approach and prototype development. Five criteria are included: grade point average with a weight of 0.20, relevant course grade 0.25, competency or technical test 0.25, interview 0.15, and microteaching 0.15. The analysis consists of decision matrix construction, normalization, ideal reference sequence determination, deviation calculation, Grey Relational Coefficient, Grey Relational Grade, ranking, and sensitivity analysis of the distinguishing coefficient. The final ranking places A3 first with a GRG of 0.7536, followed by A5 at 0.7086, A1 at 0.6518, A2 at 0.6371, and A4 at 0.4333. A3 is the main recommendation because it has the highest weighted closeness to the ideal profile. The sensitivity analysis reported in the source manuscript indicates that A3 remains in first place when the distinguishing coefficient changes, suggesting that the primary recommendation is stable. The study contributes an integrated decision model that combines academic, technical, interpersonal, and pedagogical dimensions and a web-based system design that supports decision traceability. A complete numerical audit still requires the raw decision matrix and system calculation logs.
Co-Authors Anjar Pinem Bangkit Iyoel Siregar Beny Irawan, Beny Erwin D . Sitanggang Erwin Daniel Sitanggang Fauzi H. Simbolon Fauzi H. Simbolon Fauzi Haris Sibolon Jaidup Banjarnahor Jenheri Rejeki tarigan Marice Hotnauli Simbolon Matondang, Zekson Aizona Misdem Sembiring Misdem Sembiring Ratnawati Simbolon Sariadin Siallagan Sartana Sartana Sartana, Sartana SIAHAAN, BERTHA NERPY Sihombing, Maradu SILALAHI, DUMARIANI Simbolon, Fauzi Haris Sitompul, Noferianto