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.
Articles
378 Documents
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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[Klasifikasi Penjurusan pada Sekolah Menengah Atas (SMA) dengan Metode Algoritma C4.5 ]]>
<![CDATA[Yofhanda Septi Eirlangga]]>;
<![CDATA[Aldo Eko Syaputra]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i3.235
<![CDATA[The Indonesian Minister of Education has stipulated 12 years of compulsory education, but only at high school (SMA) students can only determine the major they are interested in. In every new academic year the PPDB (New Student Admissions) committee has difficulty in determining majors because the determination of majors is still done manually so that there is a mismatch with the interests and talents of students caused by human error. So it is necessary to conduct a study with the aim of assisting the PPDB committee in determining the majors accurately and effectively so that the interests and talents of students can be channeled appropriately. Therefore, the C4.5 algorithm method is used which is one of the data mining algorithms that produces a decision tree that is suitable for classifying large amounts of data. The data used in this study were taken from the grade IX student report cards in 2022 as many as 44 report cards which have 11 subject value variables, namely Science, Social Sciences, Indonesian Language, PKN, Islamic Religious Education, MTK, English, BAM Arts and Culture, ICT and Physical Education. The results of this study obtained a decision tree (decision tree) with 17 rules (knowledge) that has been matched with real data with a very high level of accuracy. So that this research can help and become a benchmark for the PPDB committee in determining the majors of new students every time a new teaching begins at SMA Pertiwi 2 Padang]]>
<![CDATA[Analisis Metode Open Web Application Security Project (OWASP) Menggunakan Penetration Testing pada Keamanan Website Absensi ]]>
<![CDATA[Ichsan Octama Riandhanu]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i3.236
<![CDATA[The use of technology in various fields increases mobility, one of which is the creation of websites to share and manage information. Information system security that cannot interfere with the infrastructure of an organization or company. Many system vulnerabilities or system problems occur on the internet. These problems can be in the form of Malware attacks, Exploits and Injection databases. This problem can be minimized by implementing security from hackers' interference or attacks by means of penetration testing (Pentest), which is testing carried out on the web legally by imitating the form of hackers. To detect web security, an analysis of the vulnerabilities of a web is required in accordance with the security standardization of the Open Web Application Security Project (OWASP) using security tools. Web-based vulnerability analysis with the OWASP method using security tools is able to determine the security level of an application, based on the results of tests that have been carried out where the results of the research provide some suggestions or recommendations about website vulnerabilities, which can be used by the website development team to improve website security.]]>
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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[Determinan Pemberian ASI Eksklusif di Masa New Normal oleh Ibu Menyusui yang Bekerja dengan Algoritma ID3 ]]>
<![CDATA[Anisa, Fadhiyah Noor]]>;
<![CDATA[Yunita, Laurensia]]>;
<![CDATA[Hidayat, Ahmad]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i3.238
<![CDATA[Exclusive breastfeeding is an important activity in preparing quality generations in the future. Nutrients in the form of sufficient breast milk consumed by infants can affect the growth and development of infants. The source of energy in the form of protein, vitamins and minerals in breast milk is the main source for infants. The 2017 IDHS shows that the coverage of breastfeeding for infants aged < 6 months in Indonesia has generally increased in recent years, reaching 52%. this percentage decreases with the age of the child, for children aged < 1 month the percentage is 67%, this figure decreases to 55% in children aged 2-3 months and decreases to 38% in children aged 4-5 months. One of the obstacles to breastfeeding is a working mother. The purpose of the study was to determine the determinants of breastfeeding during the new normal period by breastfeeding mothers who work with the ID3 algorithm with the method and type of research carried out in this study using a quantitative approach. Quantitative data analysis was carried out in this study using the ID3 Algorithm. The results of the research using the ID3 algorithm found that the determinants of ASIX were obtained from 6 variables: age, education, knowledge, facilities, income and family support, it was found that the knowledge variable was the variable that most influenced the achievement of ASIX in working mothers. As for the income variable, support facilities and education are the accompanying variables. The conclusion of this study is that if the knowledge is good, the variable that becomes the main contributor is income. If there are facilities in the workplace, then the possibility of giving ASIX is achieved, but if there are no facilities in the workplace, family support and the mother's latest education will be seen.]]>
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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.]]>
<![CDATA[Pemisahan Objek Sel Tumpang Tindih pada Citra Pap Smear dengan Metode Deep Learning dan Watershed ]]>
<![CDATA[Muh. Jamil]]>;
<![CDATA[Dwiza Riana]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i4.243
<![CDATA[The object observed in the Pap Smear image is Cervical Cancer which forms overlapping cells. This cancer must be observed early because it is a disease that causes the death of thousands of women worldwide every year. The death rate from this disease is the fourth highest among women. One way to be aware of this disease is to do an early check on the Pap Smear test image. This cell separation process uses the image segmentation method. This method is one of the important steps to be able to identify existing cell objects. This study proposes a segmentation method to separate 2 overlapping cells in the RepomedUNM dataset. The dataset is engineered in the manufacture of synthetic Pap Smear images. The segmentation method proposed is a Deep Learning-based method so that it can identify 2 overlapping cells in one area. The level of accuracy of the test with an average score of Intersection over Union (IoU) is 0.9003. And the results of segmentation with Deep Learning can be divided into all areas using the Watershed segmentation method. So that this research becomes a reference in the early identification of Cervical Cancer.]]>
<![CDATA[Model Simulasi untuk Memperkirakan Tingkat Penjualan Garam Menggunakan Metode Monte Carlo ]]>
<![CDATA[Muhammad Thoriq]]>;
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i4.244
<![CDATA[The increasing need for salt in the West Sumatra area is inversely proportional to the raw material for making salt. So the stock of salt for consumption becomes less. This causes the purchasing power to be cut off for the needs of regional consumers. Based on these problems, a research was conducted by conducting simulations to predict the amount of salt sales in controlling stock. This study aims to predict sales in maintaining service to consumer demand. The method that can be used in making predictions is the Monte Carlo Method by processing Salt sales data in 2019, 2020, and 2021 at PT. Prosperous Grace. The results of the study are able to predict sales of salt in the form of kilograms (kg) in the future. The average accuracy rate in 2020 is 88% and in 2021 is 91%. So that this research can be a reference in decision making by PT. Kurnia Sejahtera to improve services.]]>
<![CDATA[Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo ]]>
<![CDATA[Elvina Rahayu]]>;
<![CDATA[Muhammad Thoriq]]>;
<![CDATA[Sopi Sapriadi]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i4.245
<![CDATA[Simulation modeling is used as a tool to see a picture of the company's condition in the future and as a forum for making a decision. Currently, sales are an important activity and a factor that must be considered in future planning. The purpose of sales is to bring profit or profit from products or services produced with good management. Simulation can help solve everyday problems such as existing problems, with simulation applications estimating the number of sales is very important. If someone can predict the number of sales, the cost of procurement and storage of goods can be minimized. From this, several parties can bring in profits as much as possible, and minimize losses. There are 18 sales sample data processed in this study, namely sales data from 2021 to 2022. Sales data is processed using the Monte Carlo method from January 2021 to June 2021 to predict results for July to December 2021. Then for July to December 2021 to predict the results for January to June 2022. The data is tested with various elements of probability using a random sample. A powerful numerical calculation tool by simulating statistical data, this simulation obtains accurate accuracy values from the observable physical form of the system. Implementation of calculations will be developed using an application-based system that will be built with the JAVA programming language. The test results that have been obtained in the form of the average number of product requests and average income will be used as an estimate of sales (state estimate) that can assist in making decisions based on the information that has been obtained. The data obtained has an accuracy rate of up to 80%.]]>
<![CDATA[Optimalisasi Perencanaan Jalan Lingkungan dalam Penanganan Permukiman Kumuh Menggunakan AutoCAD ]]>
<![CDATA[Elviyanti]]>;
<![CDATA[Hotter, Robby]]>;
<![CDATA[Thressia, Merry]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37034/jidt.v4i4.247
<![CDATA[Slum areas really need prevention activities. This activity really requires environmental development planning in housing and residential areas. Environmental quality must also be supported by empowering the community to protect the environment. In Sijunjung Regency there are 31 (thirty one) Slum Housing and Slum Housing locations in 8 (eight) sub-districts. The area is 415.20 (four hundred and fifteen point twenty two) hectares. One of these locations is Nagari Muaro in Sijunjung District. This study aims to reduce slum areas by designing environmental roads as the main basis for development. The locations processed were 3 nagari, namely Muaro in Subarang Ombak with an area of 3.98 Ha; Friday market with an area of 8.46 Ha; and Rimbo Kaluang or Jorong Tangah with an area of 7.31 Ha. This location has a percentage of road surface quality of 85%, namely poor road surface quality. The theory used in planning is Doxiadis namely nature, human environment and networks. Data is processed in a descriptive qualitative analysis by way of observation to interview locations and documentation. The results of this study design environmental roads using Autocad software that can be implemented. So that this research can help design roads in an effort to make settlements healthy by maintaining the social aspects of society.]]>
