Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi SMART : Jurnal Teknologi Informasi dan Komputer
Marselino Syahputra
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Expert System untuk Menentukan Lokasi PPL pada Program Pendidikan Teknik Informatika dan Komputer UIN Sjech M.Djamil Djambek Bukitinggi Marselino Syahputra; Liza Efriyanti; Riri Okra; Sarwo Derta
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1595

Abstract

The Field Experience Practice (PPL) is a key component of the Information Technology and Computer Education program at UIN SMDD BKT, designed to provide students with direct teaching experience and opportunities to apply classroom knowledge in real contexts. However, assigning suitable PPL locations can be challenging as various factors must be considered to match student abilities and conditions. This study develops an expert system using the Sugeno-type Fuzzy Logic method to assist in determining PPL placements objectively. The system evaluates four main indicators: students’ residence, microteaching scores, religious scores, and practice scores. After development, the system underwent validity, practicality, and effectiveness testing. The results showed a validity score of 0.9, indicating very high reliability; a practicality score of 0.78, showing ease of use; and an effectiveness score of 0.76, confirming the system’s ability to support decision-making in PPL placement. These findings demonstrate that the expert system is valid, practical, and effective, making it a reliable tool for assigning students to appropriate teaching locations. Consequently, the system is expected to enhance the efficiency and accuracy of the placement process by ensuring that students are positioned in environments aligned with the established criteria.
Pemodelan Decision Modeling on Clothing Model Selection of Female Students of UIN Bukittinggi , Adryan; Hary Syahbana; M. Fahri Akbar; Marselino Syahputra; Liza Efriyanti
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 2 No. 2 (2023): July-December
Publisher : Gayaku Publisher

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

Abstract

The selection of clothing styles is a complicated decision for individuals including female students at uin bukittinggi in making this kind of decision there are many factors to be considered such as the weather the event to be attended comfort and fit along with personal style in this experiment we bring the monte carlo simulation method to model and analyze the clothing model selection decision of female students of uin bukittinggi we identify various variables that influence the decision such as temperature We identify various variables affecting the decision such as temperature weather type of event and personal preferences We determine the range of values for each variable define the appropriate probability distribution and generate random data based on the probability distribution Next we evaluate the choice of clothing models based on the generated random data and analyze the results The results of this monte carlo simulation can provide important insights for uin bukittinggi female college students in choosing clothing models that match their conditions and personal preferences  
Co-Authors , Adryan Hary Syahbana Liza Efriyanti, liza M. Fahri Akbar Riri Okra Sarwo Derta