Jurnal Informasi dan Teknologi
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.
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<![CDATA[Pengelompokan Daerah Rawan Demam Berdarah Dengan Metode K-Means Clustering ]]>
<![CDATA[Sri Handani Widiastuti]]>;
<![CDATA[Rio Jumardi]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.213
<![CDATA[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.]]>
<![CDATA[Sistem Pakar Menggunakan Metode Forward Chaining dalam Mengidentifikasi Penyakit Kambing ]]>
<![CDATA[Putri Alicia]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.216
<![CDATA[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.]]>
<![CDATA[Pengembangan E-Modul Berbasis Android Mata Kuliah Aplikasi Komputer sebagai Alternatif Pendukung Pembelajaran Jarak Jauh (PJJ) ]]>
<![CDATA[Kurnia Wahyu Prima]]>;
<![CDATA[Ganefri]]>;
<![CDATA[Hansi Effendi]]>;
<![CDATA[Remon Lapisa]]>;
<![CDATA[Hariyadi]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.218
<![CDATA[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.]]>
<![CDATA[Sistem Pakar Menggunakan Forward Chaining dalam Mendeteksi Tingkat Keparahan Skizofrenia ]]>
<![CDATA[Mirantie Prima Surya]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.222
<![CDATA[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.]]>
<![CDATA[Metode Monte Carlo dalam Memprediksi Produksi Es Balok terhadap Optimalisasi Kebutuhan ]]>
<![CDATA[Muhammad Habib Yuhandri]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.223
<![CDATA[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.]]>
<![CDATA[Identifikasi Penentuan Perbaikan Jalan Rusak dengan Skala Prioritas pada Dinas Pekerjaan Umum Menggunakan Metode SAW ]]>
<![CDATA[Andi Saputra]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.232
<![CDATA[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.]]>
<![CDATA[Analysis of Open Website Security Using OWASP and ISSAF Methods ]]>
<![CDATA[Rahmad Ashar]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.233
<![CDATA[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.]]>
<![CDATA[Jaringan Syaraf Tiruan dengan Algoritma Backpropagation dalam Memprediksi Hasil Asesmen Nasional Berbasis Komputer (ANBK) SMP Se Kota Sawahlunto ]]>
<![CDATA[Andre Yuberta]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.234
<![CDATA[Abstract The National Computer-Based Assessment for SMP level is a quality assessment program for all SMP level schools. This has only been simulated in 2019 and in 2021 this is the first stage of testing. Adaptation to ANBK needs to be done quickly so that the School Quality Score becomes good from time to time and the main goal of the education unit, namely the development of student competence and character, is achieved. Finding a solution to improve the quality of SMP in Sawahlunto City based on ANBK using ANN with Backpropagation Algorithm. The data used in this study was sourced from the Education Office of Sawahlunto City where as many as 11 schools participated in ANBK at the junior high school level. Based on the 2021 ANBK simulation data, the results obtained are above the minimum competency of 11 schools. Furthermore, the data is processed using Matlab software. The processing implementation involves four input variables (reading literacy, numeracy, character survey and learning environment survey). Of the 33 data tested using variations of test data and training data, which are then processed using variations in the learning rate and number of epoch parameters. From the test results obtained the level of accuracy of pattern recognition on the backpropagation method with a learning rate variation of 0.2 and the number of epochs 1000. The results of testing this method are as many as 11 junior high schools that have passed. So that the level of accuracy is 99,9987%. The prediction results of ANBK SMP in Sawahlunto City can already describe the quality of education in SMP in Sawahlunto City. With an achievement level above the district/city average of 36.36%, it can become accurate information to improve the quality of teaching and learning and improve student achievement. Keywords: Artificial Neural Networks; Backpropagation; ANBK; Computer-Based National Assessment; Student; Education.]]>
<![CDATA[Stunting Sistem Cerdas Mendiagnosa Stunting pada Anak Menggunakan Mesin Inferensi ]]>
<![CDATA[Tugiono]]>;
<![CDATA[Afdal Alhafiz]]>;
<![CDATA[Hafizah]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.237
<![CDATA[Stunting is an unresolved nutritional problem in Indonesia. Stunting is a physical growth disorder characterized by a decrease in growth speed and is the impact of nutritional imbalances. Stunting will cause long-term impacts, namely disruption of physical, mental, intellectual, and cognitive development. Children who are stunted until the age of 5 years will be difficult to repair so that it will continue into adulthood and can increase the risk of offspring with low birth weight. Low economic factors cause people to think twice about consulting on stunting with doctors or nutritionists. In addition, the reluctance to come to the Puskesmas is an indicator of the low level of public awareness of children's health. Whereas the Puskesmas is a place that provides information about the problem of stunting. This is one of the causes of the delay in reducing the prevalence of stunting. An expert system is a system that seeks to adopt human abilities or knowledge into computers, so that computers can work in solving a problem like an expert or someone who has knowledge in a particular field. Utilization of expert systems with certainty factor methods and forward chaining inference engines will greatly help facilitate the community in making an early diagnosis of stunting in children, so that people can take initial treatment if their child is diagnosed with stunting. With this facility, of course, the risk of increasing stunting in children can be reduced and even prevention is carried out.]]>
<![CDATA[Tingkat Stres Mahasiswa Pada Pembelajaran Luring Masa Pandemi COVID-19 ]]>
<![CDATA[Albinur Limbong]]>;
<![CDATA[Idauli Simbolon]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.239
<![CDATA[This research is a study of the stress level of students in offline learning at the beginning of the odd semester 2022/2023. Since the beginning of the COVID-19 pandemic, the learning model at the Indonesian Adventist University (UNAI) has changed from offline. Before the pandemic, online lectures were conducted (online) and later became hybrid learning (online and offline). After 1 year of the pandemic period, offline lectures will be implemented again starting in the 2022/2023 Odd Semester. This change in learning model has an impact on the stress level of students. The population data processed in this study were all students who took offline learning in the first month of the 2022/2023 Odd Semester, totaling 1,411 students. From the population, the test data was determined as many as 97 people who were chosen randomly. The test data has represented all students of each faculty, year of admission and gender. The results showed that the stress level of students in the low category. There is no significant difference in stress levels between the 6 faculties. Stress levels were also not significantly different between new and old students, between men and women, and between students who took a few courses and many. Academic and extracurricular programs conducted on campus and campus dormitories contribute to the low level of stress experienced by students at the beginning of the offline learning semester.]]>
