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
Evaluasi Tata Kelola Teknologi Informasi di Perpustakaan Perguruan Tinggi dengan COBIT 5 Mambang; Finki Dona Marleny; Wulandari Febriani; Theresia Kurniati Seran; Nalo Valentino
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.v4i3.209

Abstract

The COBIT 5 framework can be implemented in all organizations or enterprises. This study analyzes and finds the maturity level of IT governance in the XYZ Library. Libraries have a role in encouraging the efficiency and effectiveness of the learning process. The IT governance element in COBIT 5 aims to get results from evaluating stakeholders' needs, conditions and choices. Survey and in-person interviews are methods of obtaining data and information from the IT governance process at the XYZ Library. The COBIT 5 domains used are evaluated, direct, and monitored (EDM) and align, plan and organize (APO) domains. The results of the evaluation that have been carried out show the findings of gaps in the process domain EDM01 with a value of 2.34 and EDM04 with a gap of 2.25. While in the process domain, APO01 with a gap of 2.13, and APO07 with a gap of 2.34. With the average value of the entire gap at the level of 2.26, the findings of the XYZ Library with the process domains EDM01, EDM04, APO01, and APO07 show that the process is managed and the results are determined, controlled, and maintained (Managed). For further research, we can add more process domains both in the Governance and Management areas so that the audit process with the COBIT 5 framework can be carried out comprehensively.
Investigasi Niat Pembelian Kembali Pengguna E-Commerce dari Perspektif Kualitas Layanan dan Teori Ekspektasi-Konfirmasi Bagas Putra Pradana
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.v4i3.210

Abstract

Most existing research concerning e-commerce in developed countries that have adopted information technology earlier than developing countries, such as Indonesia. The purpose of this study is to know the critical components of e-commerce service quality that can affect the level of customer satisfaction and loyalty in developing countries such as Indonesia using dimensions that researchers have tested in developed countries. The Smart Partial Least Square (SmartPLS 3.0) revealed a positive relationship among service quality, confirmation, satisfaction, and repurchase intention. A positive and significant correlation was also found between website design, information usefulness, privacy & security towards service quality. On the other hand, fulfillment and ease of ordering produced an insignificant relationship with service quality. Practical suggestions for promoting e-commerce in developing countries are provided.
Sistem Informasi Desa dalam Meningkatkan Pelayanan Publik Berbasis Web Hazira Maharani; Maria Ulfa
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.v4i3.212

Abstract

In this era of globalization, the development of Information Technology is growing very rapidly and making the internet a very important requirement to explore various information needed. Everyone can access or obtain data that is available together through an interconnected network on the Internet. Data and information are also very much needed in the need for information for public services in the village. Lesung Batu Village is one of the government institutions of Lahat Regency, South Sumatra Province that requires public services. Currently, Lesung Batu Village still uses a manual system in service, and conveys information to the public so that the speed and accuracy of information still needs to be improved. This study aims to improve community public services in the village to improve public services. This village information system facilitates the delivery of information and provides services that are easier and faster. The village information system was built using the Hypertext Preprocessor (PHP) programming language with MySQL, Bootstrap and Laravel databases. The system development method used is web engineering, which is a software engineering model used for developing web-based applications. The stages in web engineering are Communication, Planning, Modeling Construction, and Deployment. This research resulted in a mobile web-based village information system that can make it easier for people to find the information needed so that they can improve services, it is proven that the services provided by the Lesung Batu village government are effective, fast and precise.
Pengelompokan Daerah Rawan Demam Berdarah Dengan Metode K-Means Clustering Sri Handani Widiastuti; Rio Jumardi
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.v4i4.213

Abstract

The Dengue fever is a disease found in tropical and subtropical regions that is transmitted through the bite of the Aedes aegypti mosquito. Dengue fever is still a serious problem for public health in the city of Bontang. For that we need a system that can classify the areas of spread of dengue fever in the city of Bontang. The K-Means Clustering algorithm is a non-hierarchical data clustering algorithm that partitions data into one or more clusters or groups so that data with the same characteristics are grouped into the same cluster. To classify areas in the city of Bontang into three clusters, namely Sporadic, Potential, and Endemic. Three villages were selected as the centroid of each cluster, Bontang Kuala as the centroid of the sporadic cluster, Telihan as the centroid of the potential cluster, and Tanjung Laut as the centroid of the Endemic cluster. Village data, cluster data, and centroid data are processed using the K-Means Clustering algorithm, and application testing using Black Box Testing. The results of the application using the clustering method obtained information that there were five villages for sporadic clusters, five villages for potential clusters, and five villages for endemic clusters from a total of 15 villages used as samples for environmental health by the Bontang City Health Service.
Sistem Pakar Menggunakan Metode Forward Chaining dalam Mengidentifikasi Penyakit Kambing Putri Alicia
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.v4i4.216

Abstract

Goats are one of the various types of animals that are widely kept and then traded because many can be utilized from goats. Disease checks on goats are not carried out regularly by breeders, especially if the breeders are still unfamiliar with raising goats, thus making goats susceptible to disease. This makes it difficult for farmers to handle due to limited knowledge. The limitation of veterinarians is also one of the problems that are often encountered in various regions. This study aims to analyze the disease in goats using the Forward Chaining method based on the symptoms and design an Expert System in measuring the accuracy of identifying diseases in goats. The data needed during this study were disease data in goats, symptom data and data solutions or treatments needed to make decisions that were sourced from veterinarians from the Pekanbaru City Agriculture and Livestock Service and one of the Veterinary Clinics in Pekanbaru City. 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 were successful in analyzing the symptoms and being able to determine diseases related to identifying diseases in goats so that solutions and initial steps for handling them could be determined. The results of trials conducted by comparing the data with the system that has been designed have a very good level of accuracy.
Akurasi dalam Mengidentifikasi Tingkat Similarity pada Artikel Ilmiah Menggunakan Algorithma Jaro Winkler Firman Santosa
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.v4i3.217

Abstract

Plagiarism is an issue that often develops and always occurs, especially in universities. STKIP Rokania already has a scientific article recording system called E-Jurnal which is always used by lecturers to publish journals and search for relevant topics and literature. In making scientific articles, plagiarism is often not detected in scientific articles submitted by lecturers. This fraud is carried out by combining the available abstracts to form one abstract resulting from the merger. This means that the abstract is not the result made by the researcher himself. The biggest problem is when this fraudulent act is not detected, which is due to manual checking of documents. This of course can result in lowering the reputation of the accredited E-Journal. Of course, this problem must be immediately given the right solution to identify the level of similarity in scientific articles that already exist. Identification of the level of similarity in scientific articles is made through a structured development stage using the Jaro Winkler algorithm which is chosen to detect the similarity of abstract documents of scientific articles with abstracts that have been stored in the E-Jurnal database. The system will display the percentage level of similarity of the abstract of the scientific article so that the journal admin makes the right decision when accepting the scientific article or rejecting it. Through this research, lecturers can do an initial check of abstracts from prospective scientific articles to minimize plagiarism. Thus, it can minimize the actions of lecturers' fraud in making scientific articles and produce high-quality journals of higher value.
Pengembangan E-Modul Berbasis Android Mata Kuliah Aplikasi Komputer sebagai Alternatif Pendukung Pembelajaran Jarak Jauh (PJJ) Kurnia Wahyu Prima; Ganefri; Hansi Effendi; Remon Lapisa; Hariyadi
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.v4i4.218

Abstract

The current learning situation can be done by applying distance learning (PJJ). Technology is the key to sustainability in its implementation. Utilization of information technology in education, among others, can help during the learning process. Today, educators must keep abreast of the rapid development of technology and be able to use it more effectively to generate interesting teaching ideas. Learning media plays a very important role because it can help students in learning, especially in computer applications, or Aplikom for short. One of the learning media that can be used in utilizing technological developments is using an Android smartphone. With this, students can study independently anywhere and anytime. The purpose of this research is the development of android-based e-modules and to produce valid, practical and effective learning media in the Computer Applications course at the Muhammadiyah University of West Sumatra. The research method is the Research and Development (R&D) method using a 4D model. The 4D development procedure is Definition, Design, Development and Dissemination. Techniques in analyzing the data used are validity, practicality and effectiveness. The results obtained by the research are that the e-module that has been produced is valid with a media aspect value of 88% and a material aspect value of 93%. The e-module that has been produced is practically in accordance with the results of the lecturers' responses with a value of 97.3% and the results of student responses with a value of 88.3%. The resulting android-based e-module is effectively used with the postetst value of students' classical completeness which is 91% and the gain score value is 0.57 with a medium category. The conclusion is that the android-based e-modules produced are valid, practical and effective and useful in distance learning to help students learn independently.
Tingkat Akurasi dalam Analisis Perbandingan Metode ORESTE dengan PSI terhadap Penilai Kinerja Dosen Hamjah Arahman
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.v5i1.220

Abstract

Technology that is increasingly easy to use has been embedded in all aspects of life, appraisal system technology is one of many intelligent systems that facilitate human work in the level of accuracy of performance appraisal. The quality of the lecturer's performance is not good and quality, resulting in the reduced quality of lecturer dedication and the quality of students at STMIK Triguna Dharma Medan. Therefore, a method is needed to identify the causes of the optimal and effective assessment of lecturer performance to facilitate improving the quality of lecturers and students at STMIK Triguna Dharma Medan. Researchers use comparisons to find out which system is more effective and accurate in determining lecturer performance appraisal using DSS (Decision Support System). This decision support system is to determine the best criteria in determining the best value weights from a comparison of two methods, namely the ORESTE method with PSI (Preference selection index) in solving the material and determining the best level of accuracy of performance assessment in this case, where the ORESTE method uses the Besson process. rank which means this method uses ranking and ordinal data. The PSI (Preference Selection Index) method was chosen because it can determine the weight value for each attribute, in this case it can be continued with ranking which will be able to select each attribute from the best alternative from several existing alternatives, so that the results are obtained from the selection of the best weight. , namely the best lecturer performance
Sistem Pakar Menggunakan Forward Chaining dalam Mendeteksi Tingkat Keparahan Skizofrenia Mirantie Prima Surya
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.v4i4.222

Abstract

The Basic Health Research Research (Riskesdas) in 2018 showed the prevalence of Schizophrenia in Indonesia was 7% per 1,000 households. The coverage of the indicator for Mentally Impaired Patients Getting Treatment and Not Abandoned (PGJMPTD) nationally is 38.14%, and West Sumatra Province for the same indicator with 45.58% is in the top fourth province with a score of 45.58%. This study aims to build an appropriate system for Schizophrenia indicators. The system built in the form of an Expert System. Expert systems are the ability of computers to convert knowledge from humans into computers and can help overcome problems that can only be solved by experts. An expert system for detecting the severity of Schizophrenia is a system that adopts the knowledge of a psychiatrist in determining the severity of Schizophrenia in a psychiatric patient. This expert system is made using the Forward Chaining method. The purpose of this Expert System is to prove that the Forward Chaining method can be implemented in making this Expert System. In addition, the Expert System can provide benefits to assist a Psychiatrist in conducting tests to determine the severity of Schizophrenia patients. The data used in this study were 20 medical records of patients, in the form of symptoms of the disease and data on patient diagnosis by a Psychiatrist Specialist. Furthermore, the data is processed using the Inference Forward Chaining method and presented in the form of an application using the PHP programming language. The results of this study are 18 valid data and 2 invalid data so that an accuracy value of 90% is obtained. The Expert System with the Forward Chaining method is suitable and can be used to detect the severity of Schizophrenia.
Metode Monte Carlo dalam Memprediksi Produksi Es Balok terhadap Optimalisasi Kebutuhan Muhammad Habib Yuhandri
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.v4i4.223

Abstract

The simulation in predicting the production of Ice Cube is an estimate of the calculation of the production level of Ice Cube. This simulation can predict the production of Ice Cube to meet customer demand in the future compared to just guessing. PT. Fisheries Indonesia is a state-owned company and one of its branches is in Padang City which is specifically for producing Ice Cube to meet the needs of the West Sumatra area. The purpose of this study is to predict the production of Ice Cube which is useful for knowing the next production so that it can increase efficiency in terms of cost and time and can also optimize needs. The data used in this study is Ice Cube production data in 2019 and 2021 which is processed using the Monte Carlo method. The Monte Carlo method is a numerical method that is described as a statistical simulation method, which will calculate the production frequency, then calculate the probability distribution and cumulative probability then calculate the range of values, after that a simulation is carried out using a number of random variables. The results of the simulations that have been carried out in predicting the production of Ice Cube obtained an accuracy rate of 85% for 2019 and 90% for 2020. Based on the results of the research conducted, it is hoped that it will make it easier for PT Fisheries Indonesia Padang Branch to determine the amount of Ice Cube production.

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