cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Jufriadif Na`am
Contact Email
jufriadifnaam@upiyptk.ac.id
Phone
+6287895670026
Journal Mail Official
jsisfotek@upiyptk.ac.id
Editorial Address
-
Location
Kota padang,
Sumatera barat
INDONESIA
Jurnal Sistim Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 26863154     EISSN : -     DOI : https://doi.org/10.35134/jsisfotek
Core Subject : Science,
Computer Science & IT
Jurnal JSisfotek (Jurnal Sistem Informasi dan Teknologi) dimaksudkan sebagai 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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 72 Documents
 3   4   5   6   7 
Meningkatkan Keamanan Web Menggunakan Algoritma Advanced Encryption Standard (AES) Terhadap Seragan Cross Site Scripting Putra, Yendi; Yunus, Yuhandri; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i2.110

Abstract

In the millennial era, the internet has become a very basic need to support community activities in various fields, one of which is education. SMK Maritim Nusantara in supporting the learning process uses a web-based application called e-learning which is used by teachers and students. The school website has several documents in digital form that must be kept confidential, such as student data, teacher data, student grades. After scanning using the Acunetix WVS 10.5 application, information was obtained about the security holes found on the website https://www.e-learning.smkmn.sch.id, with the results of which there were 8 (eight) attacks with details, 2 (two). ) a hight category with the name Cross site scripting (XSS) attack, 4 (four) medium categories with the name HTML form attack without CSRF protection and 2 (two) low categories with the name Password type input attack with auto-complete enabled. The most dangerous attack category / hight is XSS. XSS attack is an attack that inserts malicious code in the form of javascript through an input form that aims to steal cookies and then uses the cookie to enter the web legally so that data can be manipulated and even deleted. For this reason, a strong system is needed to maintain security, confidentiality of school data, one way that can be used is by implementing the Standard Advance Encryption Algorithm (AES), this algorithm has a high level of security and uses little memory in its operation so that it does not burdensome to process and easy to implement. The results of research conducted by applying the AES Algorithm explain that previously there were 2 (two) high category vulnerabilities called XSS attacks, after the implementation of the AES Algorithm, the XSS attack vulnerability was no longer found. Based on the results obtained in the study, it can be concluded that the implementation of the AES Algorithm in tokens can improve the security of the https://www.e-learning.smkmn.sch.id website from XSS attacks.
Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Identifikasi Penyakit pada Paru Siska, Ayu Prima; Yunus, Yuhandri; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i2.111

Abstract

Lungs are a very importand part of the human organ, which functions as a place for oxygen exchange. This organ that is located under the ribs has a very heavy task, as well as the pollution of the air we breathe everyday which will cause various diseases in the lungs. Lung disease is a disease that is common to everyone, and there are still many who are less concemed with lung healty, so that is causes many indications of lung diseas. Expert system is a system that uses human knowledge recorded in a computer to solve a problem. The purpose og this study was to datermine the accuracy of disease identification in the lungs using the Certainty Factor method. The date obtained is datae about the symptoms that prove wherher a person has lung disease or not and conduct an analysis of the date, so that later conclusions can be abtained from the facts found using an expert system of the Certianty Factor method. The date obtained is date about the sympyoms thet prove whethera person has lung as a problem solving metric which is a parameter value to show the amount of trust. The result of the research from an expert system on pulmonary disease with pulmonary tuberkolosis (TBC) with a certainty level og 68%. Expert system on lung disease using the Certainty Factor method can make it easien for sufferes to know and handle prevention and handling.
Comparison of Priority Areas and Rehabilitation Risk Areas for Post Disaster by K-Means Method Budiman, Arif; Defit, Sarjon; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i2.112

Abstract

Among the inhibiting factors for rehabilitation in Padang City is the absence of an assessment of priority areas and rehabilitation risk areas. This study aims to classify these factors into three clusters and the method used in this study was K-Means method. Disaster average data from 2017 until 2019 as well as data on rehabilitation efforts are used in this method. The results achieved indicate that the rehabilitation efforts carried out have not been evenly distributed in the areas prioritized for rehabilitation. This result can also be an input for the Regional Disaster Management Agency of Padang City in mapping and rehabilitating post-disaster areas and evaluating previous rehabilitation efforts. Keywords: cluster, k-means, priority, rehabilitation, risk
Sistem Pakar Deteksi Penyakit pada Anak Menggunakan Metode Forward Chaining Sari, Meilinda; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i4.114

Abstract

Health is the most valuable thing for humans, because anyone is vulnerable to health problems. Especially in children, children are very susceptible to germs and sensitivity to symptoms of a disease is a fear for parents themselves. However, with the convenience of having an expert doctor, sometimes there are also weaknesses such as limited working hours or doctor's practice hours and the number of patients who have to wait for queues and also the many parents who do not know about the symptoms and types of children's diseases, a system is built to facilitate the medical team and system users. The purpose of this study was to detect children's diseases using the Forward Chaining method precisely and accurately. The data that were processed were 25 symptoms and 5 types of childhood diseases which were sourced from patient medical records and interviews with experts at the Ibnu Sina Simpang Empat Islamic Hospital. The symptoms and types of disease are entered into the Expert System using the rules of rules and the Forward Chaining method. To diagnose a child's disease, a Forward Chaining method is needed with the following stages: Preparing input data, determining decision tables, determining rules, tracking processes, making decision trees. The results of the study with 25 symptom data obtained as many as 5 decision rules, namely which type of childhood disease the patient has and the initial treatment that must be done. Based on the analysis carried out, it can be seen the types of diseases suffered by children so that it can be used as a reference for making decisions to diagnose diseases in children. This expert system calculation shows the percentage of success from the expert.
Sistem Pakar Menggunakan Metode Backward Chaining dalam Mengidentifikasi Kandungan Senyawa Boraks, Formalin, Rhodamin B dan Metanil Yellow pada Makanan Kholil, Muhammad Irvan; Nurcahyo, Gunadi Widi
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i1.115

Abstract

This research is motivated by the increasing number of food producers using additives that are not permitted to be used or which are harmful to health. The addition of hazardous substances in food and beverages has a huge effect on health. The use of these dangerous substances can cause inflammation of the digestive tract, degeneration or wasting of the liver, odema / swelling of the brain, accumulation of fluid in the organs of the body. This analysis applies the Backward Chaining Method in the Expert System, namely by the system processing existing facts to lead to conclusions. Facts are obtained from physical conditions, also known as symptoms. Backward Chaining is goal-driven reasoning, which begins with making predictions of what will happen, then looking for evidence that supports (or refutes) the hypothesis. In the Expert System for identifying chemical compounds of borax, formalin, rhodamine b and methanyl yellow in food using the Backward Chaining Method, the results obtained from the expert's matching data with the results of which results matched 6 out of 6 data, or with a percentage of 100%. The resulting solution is that the sample must be tested for labor. It is hoped that this application can help the public in educating chemical compounds in food and identifying the initial stages of food before being reported to the Food and Drug Supervisory Agency for laboratory testing.
Sistem Pakar dalam Mengidentifikasi Minat Vokasi Menggunakan Metode Certainty Factor dan Forward Chaining Kurniawan, Jefdy; Defit, Sarjon; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i2.117

Abstract

Developing an expert system application in providing an overview of the interests of students to help decision making interests in the vocational field so that they are right on target in choosing a major. In this study, using the Certainty Factor method and the Fordward Chaining method where this expert system can help experts identify vocational interests based on the characteristics of vocational interest in students. The personality types used to determine the type of vocational interest are Tangible, Thinking, Flexible, and Entrepreneur. The results of system calculations with expert decisions are worth 80% of the 4 test data, so a good level of accuracy is obtained. The resulting expert system can help students quickly provide an overview of vocational interest in making department decisions in continuing higher education, can carry out online consultations, document files, and can be used as a consultation portal for students.
Identifikasi Gejala Kerusakan Motor Matic Tipe Lexi Merk Yamaha dengan Menggunakan Metode Forward Chaining Berbasis Web Agasi, Andre; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i4.122

Abstract

The Motorcycle Industry Association (AISI) announced that automatic motorcycle sales data has increased. The high use of automatic motorbikes at this time is not accompanied by the ability to repair damage to motorbikes by users. due to lack of information on how to maintain motorbikes, negligence in monthly service, and delaying repairs that should have been done but were postponed until they were seriously damaged. The expert system is an alternative to help mechanics and motorbike users to consult early symptoms of motor damage. Developing the Expert System application provides an overview of motor matic damage. The data comes from interviews with mechanics and data on the types of problems given by experts. After data collection, analysis and problem solving were carried out using the Forward Chaining method with the preparation of rules or rules. The results of the rule formulation are implemented into a system that aims to determine the extent to which the PHP programming language is applied in identifying damage to motorbike matic lexi. Followed by testing the results so that the results of the process carried out with the help of the application match the results of the process carried out manually. The results of the application are that it can provide early symptom clues to the lexi matic motor damage. The application of the Forward Chaining method is applied to systems that have an accuracy level of up to 80%, therefore the system can be said to be good enough to be implemented.
Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis Syahputra, M; Defit, Sarjon; Sumijan, S
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i1.123

Abstract

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.
Rancang Bangun Alat Penampung Buku Berbasis Arduino pada Sistem Pengembalian Buku Layanan Mandiri Naf'an, Emil
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i2.127

Abstract

This study aims to design and create a book container in a self-service book return system at the Andalusia Library & Knowledge Center UPI "YPTK" Padang. Currently, the self-service book return system is carried out through a book drop machine. This book container is designed to complement the book drop machine. The returned book is inserted into the slanted gap so that it can slide into the book container. When the book container is empty, the base is at the upper limit position. If a book is entered, the base will automatically drop according to the thickness of the book. And so on, until it is full and the buzzer is active. Thus, it is hoped that book damage can be prevented due to the book falling too far down. The system is designed using ultrasonic sensors to detect upper and lower limits, a DC motor to move the base down according to the thickness of the book. After testing, the book container works well and is able to withstand loads of up to 22 kg with the number of books between 30 and 50 depending on the size of the book. The DC motor is able to move the book container when the load is maximum. The sensor can detect the thickness of the book, the upper and lower limits and the buzzer can activate when the book is full. Thus, this tool can be used to support the book drop in the self-service book return system.
Tingkat Pemahaman Siswa dalam Pembelajaran Daring dan Tatap Muka Langsung dalam Masa Pandemi Covid-19 Terhadap Bimbingan TIK Menggunakan Metode Backpropagation Salmiati, S; Yunus, Yuhandri; Sumijan, S
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i3.129

Abstract

The Covid-19 pandemic has a major impact on the world of education. Government policies to implement Distance Learning (PJJ) have an impact on learning in schools. Increasing ICT competence is needed to support the smooth running of PJJ. One of them is through ICT guidance activities during the Covid-19 Pandemic. SMP Negeri 1 Lengayang carried out online and face-to-face ICT guidance activities during the Covid-19 Pandemic. However, student learning outcomes in online and face-to-face learning have not shown maximum results. Various obstacles arise that affect student learning outcomes. Teachers have difficulty measuring the level of students' understanding of ICT guidance. Predicting the level of understanding of students is important as a measure of learning success during the Covid-19 Pandemic. This study aims to predict the level of understanding of students in online and face-to-face learning during the Covid-19 period, so that it can also help schools to take the right policies to improve the quality of learning for the future. This study uses the Backpropagation method of Artificial Neural Network (ANN). ANN is a part of artificial intelligence that can be used to predict. The data that is managed is a recap of the value of student cognitive learning outcomes during ICT guidance in online and face-to-face learning during the Covid-19 Pandemic. The results of calculations using the Backpropagation method with the Matlab application produce a percentage value for the level of student understanding, so that the accuracy value in prediction is obtained. With the results of testing the predictive accuracy of the level of understanding online and face-to-face with the 3-10-1 pattern, the best accuracy value is 95%. The prediction results can measure the level of students' understanding of learning during the Covid 19 Pandemic towards ICT guidance.

Page 5 of 8 | Total Record : 72

 3   4   5   6   7 

Filter by Year

2019 2021


Reset
Filter By Issues
All Issue 2021, Vol. 3, No. 4 (Accepted) 2021, Vol. 3, No. 3 2021, Vol. 3, No. 2 2021, Vol. 3, No. 1 2020, Vol. 2, No. 4 2020, Vol. 2, No. 3 2020, Vol. 2, No. 2 2020, Vol. 2, No. 1 2019, Vol. 1, No. 4 2019, Vol. 1, No. 3