cover
Contact Name
Prof. Dr. H. Jufriadif Na`am, S.Kom, M.Kom
Contact Email
jufriadifnaam@upiyptk.ac.id
Phone
+6287895670026
Journal Mail Official
jidt@upiyptk.ac.id
Editorial Address
Kampus Universitas Putra Indonesia YPTK Padang Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221
Location
Kota padang,
Sumatera barat
INDONESIA
Jurnal Informasi dan Teknologi
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Articles 5 Documents
Search results for , issue "2020, Vol. 2, No. 1" : 5 Documents clear
Analisa Data Profil Pelanggan Menggunakan Algoritma FP-Growth Vivi Suryani; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.8

Abstract

The number of bouquet orders is quite varied sometimes increased and decreased. The number of hikes certainly carries the goodness but the amount of decline certainly has an impact for Wawa Florist because it can not fulfill the number of bouquet order. The purpose of this research is to know how Data Mining techniques with Fp-Growth algorithm methods and designing the grouping of customer data of Wawa Florist with the FP-Growth algorithm method to obtain better and more effective analysis results. The result of the order data of the wreaths in Wawa Florish can be obtained which area information most booked wreaths, the most ordered bouquet of flowers are: D02 (Lubuk Buaya), D04 (Lubuk Minturun), D01 (Pariaman) and D03 (Lubuk Alung ). These results are obtained based on the appearance of the itemset of the bouquet booking data. Meet minimum confidence 60%.
Implementasi Metode Elimination Et ChoixTraduisant La Realite (ELECTRE) dalam Penentuan Pegawai Berprestasi Vera Delmayanti; Yuhandri Yunus; Julius Santony
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.9

Abstract

The Kerinci Regency Cooperatives, Industry and Trade Office has a variety of employees whose competencies in their fields are for that purpose in improving an employee's performance by determining outstanding employees who aim to motivate and reward them for improving employee work performance. In determining this outstanding employee the data used are 3 samples of employee names as alternatives and some of the criteria on which decisions are made include Service Orientation, Integrity, Commitment, Discipline, and Cooperation. The results of the process of the ELECTRE method is to compare one employee with another employee and provide the results of priority value output in the form of assessment results or based on criteria that have been determined by the Office. The results of this process are recommended as outstanding employees at the Kerinci Regency Cooperatives, Industry and Trade Office.
Prediksi Mahasiswa Berpotensi Non Aktif Menggunakan Data Mining dalam Decision Tree dan Algoritma C4.5 Nur Yanti Lumban Gaol
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.22

Abstract

Non-active students are students who do not attend the lecture process and do not pay tuition administration fees within two semesters or more. Reports on students who are not active will have an impact on the quantity of tertiary institutions. Students who are not registered in non-active students will potentially be expelled or dropped out. For this reason, this research was conducted to explore information on potentially non-active students by applying data mining science with the Decision Tree method and C4.5 algorithm. The tested data were sourced from Triguna Dharma Medan College of Information and Computer Management (STMIK). The results of the study get prediction rules for student data that are potentially non-active with a very good degree of accuracy. So this research can be used to avoid students dropping out unilaterally.
Metode Simple Multi Attribute Rating Technique dalam Keputusan Pemilihan Dosen Berprestasi yang Tepat Rezi Elsya Putra; Selvia Djasmayena
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.29

Abstract

Each lecturer is required to carry out the tridarma of higher education, a career to become a lecturer must be professional in accordance with his knowledge and expertise. Almost every year state or private tertiary institutions, give an award to lecturers who excel one of the benchmarks is from the tri darma performance of higher education. At present in determining the right lecturer with good achievements there are still many weaknesses of one of the criteria used. Then the research has the aim to determine the outstanding lecturers by using the right criteria effectively. The method used is the Simple Multi Attribute Rating Technique (SMART) method using Sekolah Tinggi Ilmu Komputer (STIKOM) Muhammadiyah Batam’s lecturer data. The results of this study set the right criteria, so get a very high level of accuracy which is 79%. So this research becomes the right indicator in determining the outstanding lecturers.
Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo Julius Santony
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.34

Abstract

The scheduling of a suspension bridge construction project is very influential in determining the success of construction which has risks and uncertainties in the construction of a suspension bridge. So we need a suspension bridge project scheduling to predict the work schedule for each suspension bridge construction activity. To overcome all the risks and uncertainties in the construction of a suspension bridge, a Monte Carlo method simulation is needed to process 10 activities in a suspension bridge construction project. The accuracy rate using Monte Carlo simulation is 93.99% for predictions for 2017, 2018 for 98.77% and 86.75% for 2019. So this Monte Carlo simulation can be used in predicting the scheduling of a suspension bridge construction project.

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