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 261 Documents
Metode Certainty Factor dalam Mengidentifikasi Gangguan Koneksi Internet pada Metro Ethernet Sepdi Armet
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.224

Abstract

In an effort to support the IT-based government service program, better known as e-Government, the Pariaman City Government has built a metro ethernet network. Metro ethernet Kota Pariaman is a metro area network that functions as a means of internet access for all Regional Apparatus Organizations (OPD) throughout Kota Pariaman. Disruption to internet access will have an impact on Pariaman City Government services to the community, such as delays in health administration services using an online system. Lack of understanding of computer users in dealing with internet network problems, this requires the role of experts to identify damage to the metro ethernet network. The development of the Expert System aims to assist computer users or network technicians in identifying metro ethernet network disturbances and providing solutions to correct these disturbances. The Expert System was developed based on the existing problems, where for data collection interviews and field observations were carried out. The method used for data processing in this expert system is the certainty factor method. The certainty factor method can define the certainty of a fact that allows an expert to describe the beliefs of the problems at hand. Based on the results of expert system testing using certainty factors to identify internet connection problems, it produces information that causes disturbances with an accuracy rate of 90.2% of the average certainty factor value. Based on the results obtained by the Expert System with the certainty factor method, it can be used to identify internet connection problems on the Pariaman City metro ethernet network.
Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo Aldo Eko Syaputra; Yofhanda Septi Eirlangga
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.225

Abstract

25 Coffee has increased sales every day. This situation causes service to consumers to be disrupted because raw materials often run out. Some consumers do not get good service and some even wait too long but do not get the desired item. This situation will cause consumers to be reduced because they move to another seller's place. So this research is carried out to predict sales in maintaining the availability of raw materials so that services are guaranteed and improved. The method used in this study is Monte Carlo by processing sales data in 2019, 2020, and 2021. The results of this study are able to predict the number of beverage sales in the following years with an average accuracy rate of 91%, in 2020 , and 89% in 2021. So this prediction becomes a reference material for 25 COFFE parties to make decisions and improve services.
Expert System in Career Exploration Based on Business and Industrial Needs Jeki Armentaria
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i2.226

Abstract

Era Society 5.0 is the development of technology-based human activities. Rapid technological developments have an impact on human life, one of which can eliminate jobs and can also create new jobs. The Business and Industrial World (DUDI) is one sector that has an impact on technological developments with the hope that the human resources who will work later are superior human resources so that they can innovate well. This study aims to measure the entrepreneurial personality of SMK students using an expert system application. The methodology used in this research is Research and Development (R&D). There are four stages to do: Definition, Design, Development and Dissemination. The instrument used to measure entrepreneurial personality is inventory (non-test) with four indicators of entrepreneurial personality, namely Extroverted, Leader, Moderate Risk Taker, Ambisious, which have undergone a fit test using Confirmatory Factor Analysis. The result of this research is an expert system application that can recommend jobs based on six career-oriented personality types. Based on the results of data analysis, the Entrepreneurship Personality-based career development application was declared valid, practical and effective in measuring the entrepreneurial personality of vocational students in percentage (0.89) and very practical (91.11) and the results of product effectiveness were 82.47 (effective).
Metode Forward Chaining pada Sistem Pakar dalam Pencegahan dan Pengobatan Penyakit Ikan Mas Sanjaya Alacsel
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.227

Abstract

Goldfish is one of the various types of cultivated animals that are widely kept and then traded because many can be utilized from Goldfish. Farmers do not regularly check for diseases in carp, especially if farmers are still unfamiliar with the symptoms and types of diseases in carp cultivation, thus making goldfish susceptible to disease. This makes it difficult for farmers to handle diseases caused by symptoms due to limited knowledge. The limitation of experts in the field of goldfish cultivation is also one of the problems that are often encountered in various regions. This study aims to identify diseases and treatment methods in carp using the Forward Chaining method based on symptoms and to design an expert system in identifying diseases and treatment methods in carp. The data needed during this research is data on the types of symptoms and types of diseases based on symptoms in carp, symptom data and treatment data for making decisions that are sourced from carp cultivation experts from a vocational high school teacher (SMK) majoring in carp cultivation and the power obtained from the Southeast Aceh City Fisheries Service. Based on the data provided by the expert, the expert has a decision-making mode, which is to collect facts first to reach a conclusion or decision, so the Forward Chaining method can be used to conduct this research. The stages of data processing include preparing input data, expert decision tables, determining rules, conducting tracking processes, making decision trees and tracking results. The results obtained succeeded in finding the disease based on the existing symptoms and solutions and initial steps for handling goldfish diseases could be found. The results of trials conducted by comparing the data with the system that has been designed have a very good level of accuracy
Evaluasi Sistem Informasi Logbook Menggunakan Model Human Organization Technology (HOT) Fit Taman Yani; Refni Wahyuni; Yesica Devis
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i3.228

Abstract

Logbook is an information system that is used for recording the activities of FMIPA Riau University employees and also as a media for attendance of FMIPA Riau University employees which is managed by the Personnel and IT department of the Riau University FMIPA. This study aims to test and evaluate the application of Information System Technology referring to quantitative descriptive analysis based on the HOT Fit Model's, namely Users (HR), Organizations based on the Personnel perspective of FMIPA Riau University because there are still user complaints, there has never been an evaluation of the application of the Riau University logbook using the HOT method. -FIT. This study uses 9 variables, namely system quality, information quality, service quality, system development, system use, user satisfaction, organizational structure, organizational environment and net benefits. Data collection was carried out by distributing online questionnaires to 60 people consisting of 53 assistants and 7 leaders. This research uses Structural Equation Modeling (SEM-PLS) analysis technique. The results of this study indicate that the variable using the system has the highest value, which is 0.709 or 70.9%, which means that the variable using this system is the variable that has the greatest influence on the application of the FMIPA Riau University logbook information system. Keywords: HOT-Fit, Logbook FMIPA Universtias Riau, SEM-PLS
Analisis Penyakit Gigi Molar dengan Menggunakan Metode Forward Chaining Khairul Fajri Ilahi
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.229

Abstract

Molar teeth or what are often referred to as molars are the teeth that are most often used in the process of digesting food before it enters the stomach. This also makes molar teeth one of the most common diseases suffered by the community. This is also accompanied by low public knowledge about molar teeth. The number of people who suffer from molar tooth disease is not proportional to the availability of dental experts, causing all patients who want to diagnose their disease to be unserved. The method used in this research is the Forward Chaining method. The purpose of this study was to test the Forward Chaining method in analyzing molar disease and provide an initial diagnosis of molar disease so that the diagnosis generated by the system can be used as a reference for consultation with a dentist. The data used in this study were data on symptoms and diseases of molar teeth taken from the Munggu Dental Care dental clinic, the data obtained in the form of 29 symptom data and 7 data on molar tooth disease. The data obtained is then processed using the Forward Chaining inference method or search from the front. Then the patient will be asked to choose the symptoms they feel and the system will diagnose the patient's disease based on the symptoms entered by the patient. The data that enters the system will then be matched with the existing rules in the database so that an initial diagnosis will be generated. The result of this research is the Forward Chaining method designed with the PHP programming language using the Codeigniter framework is able to analyze diseases of the molar teeth very accurately. Therefore, this research can be used as a reference for further research and the resulting expert system can be used by users who want to diagnose molar tooth disease before going to the dentist
Klasifikasi Penyakit Hati dengan Menggunakan Metode Naive Bayes Wahyugi Fadri
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.230

Abstract

Data mining is the process of finding relationships in data that are not known to the user and understandably presenting them so that these relationships can form the basis of decision-making. The purpose of this study was to design a data mining website using the Naive Bayes method to classify liver disease symptoms and to test a data mining website using the Naive Bayes method to assist in classifying liver disease. The data was processed by 50 medical records of liver disease in Lubuk Basung Hospital which consisted of symptoms and diseases. The method used is the Naive Bayes method which has a fairly high accuracy value. one method that can be used to classify data. Bayesian classification is a statistical classifier that can be used to predict the probability of belonging to a class. Then it was developed into a website-based form using the PHP Framework Codeigniter programming language and MySQL as the database. The system to be built is based on the Naive Bayes method which is one of the Data Mining methods. The test results from 50 medical record data of patients with liver disease, by applying the Naive Bayes method which is applied to data mining, is useful for comparing hospital data with system data. From 45 training data and 5 testing data, the accuracy rate is 60%.
Clustering and Modeling of E-Government Architecture Using the Algorithm C4.5 Sefri Yansyah
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i2.231

Abstract

E-Government is a form of government service effort to present complete, easily accessible, updated and high-accuracy data to the public. Good Governance is the aspiration of the Pelalawan Regency Government so that the service becomes a government administration that prioritizes aspects of accountability, transparency and accountability. participatory, Assist in identification efforts and then become a solution to solving problems where so far the Pelalawan District Government programs are often not on target, data gaps and the dynamic nature of data from time to time. This is caused by the large number of information systems facilitated by Ministries, Agencies and other Institutions for use by Regional Apparatus Organizations that are not relevant to the variables and data criteria that are suitable to be applied to Pelalawan Regency, considering the data that has been processed so far is very large and large. Solution Method C4.5 can assist in identification efforts and then become a problem solving solution where so far the Pelalawan District Government program is often not right on target, data gaps and the dynamic nature of data from time to time. The data used in this study are 3 information systems facilitated by the Ministry of Social Affairs, Visualization and Analysis, a collection of data with different and growing formats is then clustered using the C.45 method by carrying out the Big Data principles, namely volume, velocity, variety, varicity and value. This research will later become input to the Regional Government in determining decisions on the implementation of assistance to the poor which refers to the indicators from this data mining.
Identifikasi Penentuan Perbaikan Jalan Rusak dengan Skala Prioritas pada Dinas Pekerjaan Umum Menggunakan Metode SAW Andi Saputra
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i4.232

Abstract

Kementerian Pekerjaan Umum khususnya Dinas Bina Marga merupakan bagian yang bertanggung jawab atas pembangunan jalan di seluruh Indonesia. Namun, beberapa jalan yang dibangun oleh Dinas Pekerjaan kurang mendapat perawatan dan perbaikan. Perbaikan yang dilakukan seringkali tidak tepat sasaran atau kurangnya informasi tentang jalan yang rusak, dengan begitu maka penggunaan metode SAW untuk mengambil keputusan yang tepat saat memilih prioritas perbaikan. Kondisi jalan merupakan faktor yang mempengaruhi kenyamanan pengguna jalan dan juga merupakan faktor yang menjadi alasan banyaknya kecekalaan lalu lintas. Banyaknya masalah kondisi jalan menjadi suatu kendala yang tidak dapat dipungkiri dari setiap wilayah di Indonesia begitu juga di Provinsi Riau. Terdapat beberapa faktor yang mengakibatkan suatu jalan mengalami kerusakan diantaranya adalah jalan yang dilewati oleh kendaraan dengan bobot yang tidak seharusnya seperti bus dan truk besar. Data yang akan di pakai dalam penentuan prioritas perbaikan adalah daya yang telah di kumpulkan dengan bagian yang bertanggung jawab dalam kegiatan pemeliharaan jalan Provinsi Riau. Metode Simple Additive Weighting (SAW) sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. Metode SAW membutuhkan proses normalisasi matriks keputusan (X) ke suatu skala yang dapat diperbandingkan dengan semua rating alternatif yang adakata kunci dari makalah tersebut dalam daftar kata kunci. Kemudian dilanjutkan dengan teks utama makalah.
Analysis of Open Website Security Using OWASP and ISSAF Methods Rahmad Ashar
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i4.233

Abstract

Diskominfo Kerinci is an agency responsible for the management of information media within the Kerinci Regency Government. The existence of a website as a medium of information is a very important need to convey information to the public. This managed website is public (open website) so that information security principles must be applied so as not to get cyber attacks. This study conducted a security analysis on an open website owned by Diskominfo Kerinci using two methods, namely the Open Web Application Security Project (OWASP) method and the Information Systems Security Assessment Framework (ISSAF) method. Research related to the use of the OWASP and ISSAF methods in system security testing has been carried out, several tests state that this method greatly influences the steps and results of system security testing. The results of the security analysis from these two methods will be compared to make recommendations for improvements to the website.

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