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JISKA Jurnal Informatika Sunan Kalijaga最新文献

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Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pembelajaran Secara Daring Menggunakan Algoritma Naïve Bayes 学生满意度的在线学习分类使用了Naive Bayes算法
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2021-09-22 DOI: 10.14421/jiska.2021.6.3.161-170
Ami Natuzzuhriyyah, Nisa’atun Nafisah, R. Mayasari
{"title":"Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pembelajaran Secara Daring Menggunakan Algoritma Naïve Bayes","authors":"Ami Natuzzuhriyyah, Nisa’atun Nafisah, R. Mayasari","doi":"10.14421/jiska.2021.6.3.161-170","DOIUrl":"https://doi.org/10.14421/jiska.2021.6.3.161-170","url":null,"abstract":"Since the spread of Covid-19 in Indonesia, in early March 2020, the activities of Educational Institutions have not been disrupted. As conventional learning. Learning at Singaperbangsa University began with regulation from the Ministry of Education and Culture of the Republic of Indonesia, from learning that boldly affects concentration, influences concentration, such as signals, learning atmosphere, and teaching methods, so that factors affect the level of student satisfaction in learning. This study aims to determine the level of student satisfaction with learning who dares to use the Bayes naive algorithm using RapidMiner tools with results obtained with an accuracy rate of 76.92%, class precision of 100.00%, class recall 57.14%, and an AUC value of 0.881 or close to, so the resulting model is good. In other words, the results obtained using the Naïve Bayes algorithm can be used as material for making decisions about the level of online learning satisfaction.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42355622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Penerapan Algoritma Hill Cipher Dan Least Significant Bit (LSB) Untuk Pengamanan Pesan Pada Citra Digital
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2020-02-21 DOI: 10.14421/JISKA.2020.%X
Desimeri Laoli, Bosker Sinaga, Anita Sindar Sinaga
{"title":"Penerapan Algoritma Hill Cipher Dan Least Significant Bit (LSB) Untuk Pengamanan Pesan Pada Citra Digital","authors":"Desimeri Laoli, Bosker Sinaga, Anita Sindar Sinaga","doi":"10.14421/JISKA.2020.%X","DOIUrl":"https://doi.org/10.14421/JISKA.2020.%X","url":null,"abstract":"Nowadays people exchange information in digital media such as text, audio, video and imagery. The development of Information and Communication makes the delivery of information and data more efficient. Current developments in technology which are very significant have an impact on the community in exchanging information and communicating. Confidential hidden data can also be in the form of image, audio, text, or video. The Hill Chiper algorithm uses a matrix of size m x m as a key for encryption and decryption. One way to recover the original text is of course to guess the decryption key, so the process of guessing the decryption key must be difficult. break ciphertext into palintext without knowing which key to use. The LSB part that is converted to the value of the message to be inserted. After affixing a secret message, each pixel is rebuilt into a whole image that resembles the original image media. The Hill Cipher algorithm is used to determine the position of the plaintext encryption into a random ciphertext. 2. Testing text messages using the hill cipher algorithm successfully carried out in accordance with the flow or the steps so as to produce a ciphertext in the form of randomization of the letters of the alphabet.   ","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43534925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2020-02-21 DOI: 10.14421/JISKA.2020.43-07
Firman Tawakal, Ahmedika Azkiya
{"title":"Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)","authors":"Firman Tawakal, Ahmedika Azkiya","doi":"10.14421/JISKA.2020.43-07","DOIUrl":"https://doi.org/10.14421/JISKA.2020.43-07","url":null,"abstract":"Dengue Hemorrhagic Fever is a disease that is carried and transmitted through the mosquito Aedes aegypti and Aedes albopictus which is commonly found in tropical and subtropical regions such as in Indonesia to Northern Australia. in 2013 there are 2.35 million reported cases, which is 37,687 case is heavy cases of DHF. DHF’s symthoms have a similarity with typhoid fever, it often occur wrong handling. Therefore we need a system that is able to diagnose the disease suffered by patients, so that they can recognize whether the patient has DHF or Typhoid. The system will be built using Neural Network Learning Vector Quantization (LVQ) based on the best training results. This research is to diagnose Dengue Hemorrhagic Fever using LVQ with input parameters are hemoglobin, leukocytes, platelets, and heritrocytes. Based on result, the best accuracy is 97,14% with Mean Square Error (MSE) is 0.028571 with 84 train data and 36 test data. Conclution from the research is LVQ method can diagnose DHF Keywords: Dengue Hemorrhagic Fever; Learning Vector Quantization; classification; Neural Network;","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44122065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Implementasi Algoritma Advanced Encryption Standard (AES) pada Layanan SMS Desa
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2020-02-01 DOI: 10.14421/jiska.2020.53-03
Intan Fitriani, Aryo Baskoro Utomo
{"title":"Implementasi Algoritma Advanced Encryption Standard (AES) pada Layanan SMS Desa","authors":"Intan Fitriani, Aryo Baskoro Utomo","doi":"10.14421/jiska.2020.53-03","DOIUrl":"https://doi.org/10.14421/jiska.2020.53-03","url":null,"abstract":"Along with the development of technology, Short Message Service (SMS) has begun to be used to communicate between someone and the system in an agency. But in some cases, the security of messages sent through the SMS application has not been well protected. To improve data security and confidentiality, cryptographic algorithms with Advanced Encryption Standard (AES) can be done. The method used is the Waterfall method. AES encryption testing is done by comparing the manual calculations and the results of the encryption on the system. Blackbox test, CrackStation test, and Avalanche Effect (AE) test were also carried out. Brute force test results using CrackStation software that ciphertext cannot be solved. And in the avalanche effect (AE) test, the AE value of each 128-bit AES key is 44.53%, 192-bit is 48.44%, and 256-bit is 56.25%. Therefore, 192-bit and 256-bit AES keys are recommended for use because AE values are in the range of 45% - 60%.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43843105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor 系统专家通过认证方法诊断橡胶树疾病
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-12-13 DOI: 10.14421/JISKA.2019.42-03
Anita Sindar Sinaga
{"title":"Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor","authors":"Anita Sindar Sinaga","doi":"10.14421/JISKA.2019.42-03","DOIUrl":"https://doi.org/10.14421/JISKA.2019.42-03","url":null,"abstract":"The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases.  Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method. Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor   ","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46163867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analisis Perbandingan Sensitivitas AHP dan WP dalam Pemilihan Biro Perjalanan Umrah di Yogyakarta 敏感性AHP和WP在日惹老龄化旅游办公室选举中的比较分析
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-08-30 DOI: 10.14421/JISKA.2019.33-04
Annisa Khodista Syaka, Agus Mulyanto
{"title":"Analisis Perbandingan Sensitivitas AHP dan WP dalam Pemilihan Biro Perjalanan Umrah di Yogyakarta","authors":"Annisa Khodista Syaka, Agus Mulyanto","doi":"10.14421/JISKA.2019.33-04","DOIUrl":"https://doi.org/10.14421/JISKA.2019.33-04","url":null,"abstract":"Jumlah jemaah umrah yang semakin meningkat mempengaruhi munculnya banyak perusahaan jasa perjalanan umrah khususnya di Daerah Istimewa Yogyakarta. Hal ini mengakibatkan calon jemaah umrah kesulitan menemukan biro perjalanan umrah yang sesuai dengan keinginannya, sehingga membutuhkan proses pemilihan biro perjalanan umrah dengan metode pengambilan keputusan yang relevan. Penelitian ini menganalisis tingkat sensitivitas metode Analytical Hierarchy Process (AHP) dan metode Weighted Product (WP) dalam pemilihan biro perjalanan umrah. Mengacu pada hasil analisis sensitivitas yang peneliti lakukan pada 6 percobaan dengan jumlah kriteria yang berbeda, metode AHP menghasilkan jumlah perubahan rangking sebesar 881 dan jumlah presentase sensitivitas sebesar 17.898%, sedangkan metode WP menghasilkan jumlah perubahan rangking sebesar 836 dan jumlah presentase sensitivitas sebesar 16.901%. Berdasarkan pada jumlah perubahan rangking dan presentase sensitivitas, dapat disimpulkan bahwa metode AHP merupakan metode yang relevan dalam pemilihan biro perjalanan umrah di Daerah Istimewa Yogyakarta.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41816745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
SURVEY MODEL-MODEL PENCARIAN INFORMASI REKAM MEDIK ELEKTRONIK 电子医疗记录信息搜索模型
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-08-30 DOI: 10.14421/JISKA.2019.33-01
Muhammad Mustakim, Retantyo Wardoyo
{"title":"SURVEY MODEL-MODEL PENCARIAN INFORMASI REKAM MEDIK ELEKTRONIK","authors":"Muhammad Mustakim, Retantyo Wardoyo","doi":"10.14421/JISKA.2019.33-01","DOIUrl":"https://doi.org/10.14421/JISKA.2019.33-01","url":null,"abstract":"Pertumbuhan jumlah data rekam medik yang pesat, menjadi masalah tersediri yang harus diantisipasi. Untuk menangani fenomena information overload dalam informasi rekam medis,  perlu studi yang mendalam untuk dapat mengembangkan model filtering informasi rekam medik yang secara efektif mendukung peningkatan kualitas rekomendasi proses pencarian informasi. Berbagai penelitian terkait pencarian informasi medis telah banyak dilakukan, diantaranya mengembangkan penelitian dengan konsentrasi pada kebaruan dan keberagaman, menggunakan fuzzy ontology, berbasis factor tensor, memepertimbangkan niatan/intention pengguna ketika melakukan pencarian serta pendekatan dengan menggabungkan pencarian berbasis frasa dengan alat pemetaan konsep yang ada menggunakan MetaMap dan sumber data ULMS Metathesaurus.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45251584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
APLIKASI PREDIKSI KELAYAKAN CALON ANGGOTA KREDIT PADA KSPPS BMT ARTA JIWA MANDIRI WONOGIRI MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR 对CALON的预测应用WONOGIRI MANDIRI制造K近邻算法对KSPPS-BMT的赞扬
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-06-11 DOI: 10.14421/JISKA.2018.32-03
Y. Kurniawan, Farida Angguntina
{"title":"APLIKASI PREDIKSI KELAYAKAN CALON ANGGOTA KREDIT PADA KSPPS BMT ARTA JIWA MANDIRI WONOGIRI MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR","authors":"Y. Kurniawan, Farida Angguntina","doi":"10.14421/JISKA.2018.32-03","DOIUrl":"https://doi.org/10.14421/JISKA.2018.32-03","url":null,"abstract":"An economy that tends to be unstable causes many people to make loans at banks and cooperatives to meet their increasing daily needs. But there are some people who cannot return the loan in a timely manner. These problems can be created or developed by an application that is used to predict whether the people who apply for loans can return loans smoothly, smoothly and stall. Use of attributes such as gender, age, type of work, number of loans, term of return, collateral and income and use the K-Nearest Neighbor algorithm to make predictions. From the research results obtained in the form of accuracy value of 80%, recall of 91% and preciison of 85%. Thus this application can be used to help the pinjman savings cooperative in considering prospective savings and loan credit members who deserve a capital loan. Keywords: data mining, K Nearest Neighbor, cooperatives, savings and loans.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49101464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementation of Cosine Similarity in an automatic classifier for comments 余弦相似度在注释自动分类器中的实现
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-06-11 DOI: 10.14421/JISKA.2018.32-05
Muhammad Habibi
{"title":"Implementation of Cosine Similarity in an automatic classifier for comments","authors":"Muhammad Habibi","doi":"10.14421/JISKA.2018.32-05","DOIUrl":"https://doi.org/10.14421/JISKA.2018.32-05","url":null,"abstract":"Classification of text with a large amount is needed to extract the information contained in it. Student comments containing suggestions and criticisms about the lecturer and the lecture process on the learning evaluation system are not well classified, resulting in a difficult assessment process. So from that, we need a classification model that can classify comments automatically into classification categories. The method used is the Cosine Similarity method, which is a method for calculating similarities between two objects expressed in two vectors. The data used in this study were 1,630 comment data with several different categories. The test in this study uses k-fold cross-validation with k = 10. The results showed that the percentage accuracy of the classification model was 80.87%.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48926924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Sistem Pendukung Keputusan Menentukan Karyawan Terbaik Dengan Metode AHP 决策支持系统采用AHP法确定最佳员工
JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2019-06-11 DOI: 10.14421/JISKA.2018.32-06
A. S. Sinaga
{"title":"Sistem Pendukung Keputusan Menentukan Karyawan Terbaik Dengan Metode AHP","authors":"A. S. Sinaga","doi":"10.14421/JISKA.2018.32-06","DOIUrl":"https://doi.org/10.14421/JISKA.2018.32-06","url":null,"abstract":"Giving the best employee nicknames to spur other employees competing to provide the best, especially service to customers. Many things affect productivity and quality and comfort in the working environment. Then there needs to be clear and objective criteria in determining the best employees, not just based on qualitative values. In order to award the right target, the method for decision support systems can be applied in determining the best employees. The Analytical Hearachy Process (AHP) method requires criteria in making a decision so that the best employees can be chosen more quickly and objectively. There are 4 criteria: Attitude, Attendance, Performance and Work Period. of the 4 alternatives (4 employees) obtained by SRI RAHAYU: 0.419 or 41.9%, most deserve to be the best employee.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44667169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
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