Ultimatics : Jurnal Teknik Informatika最新文献

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Analisis Clustering Pengelompokan Penjualan Paket Data Menggunakan Metode K-Means 使用k -意义方法对数据包销售集群分析
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-26 DOI: 10.31937/ti.v13i1.1981
Dimas Galang Ramadhan, Indriati Prihatini, Febri Liantoni
{"title":"Analisis Clustering Pengelompokan Penjualan Paket Data Menggunakan Metode K-Means","authors":"Dimas Galang Ramadhan, Indriati Prihatini, Febri Liantoni","doi":"10.31937/ti.v13i1.1981","DOIUrl":"https://doi.org/10.31937/ti.v13i1.1981","url":null,"abstract":"At present with the COVID-19 pandemic situation that requires all activities based in the network, starting from work, college, school, everything is based on the network. Certain provider users will experience excessive data plan usage. This also has an effect on a counter that sells data packages, which must provide several data package services in accordance with current conditions. This research was conducted to analyze the grouping of sales of data packages that are often purchased by customers in a counter by using the K-Means method. The K-Means method is used because the K-Means algorithm is not influenced by the order of the objects used, this is proven when the writer tries to determine the initial cluster center randomly from one of the objects in the first calculation. sales of data packages at a counter. Variables used include Price, Active period, and number of data packages. The K-Means Cluster Analysis algorithm is basically applied to the problem of understanding consumer needs, identifying the types of data package products that are often purchased. The K-Means algorithm can be used to describe the characteristics of each group by summarizing a large number of objects so that it is easier.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974518","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
Prediksi Akurasi Kemenangan Pada Permainan Poker Menggunakan Algortima C5.0 Dan WIPSO 使用c5.0算法和WIPSO预测扑克游戏的准确性
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-14 DOI: 10.31937/ti.v13i1.2070
M. F. Januarsyah, Ermatita Ermatita
{"title":"Prediksi Akurasi Kemenangan Pada Permainan Poker Menggunakan Algortima C5.0 Dan WIPSO","authors":"M. F. Januarsyah, Ermatita Ermatita","doi":"10.31937/ti.v13i1.2070","DOIUrl":"https://doi.org/10.31937/ti.v13i1.2070","url":null,"abstract":"Di era teknologi informasi, banyak sekali data yang bisa diambil dari aktivitas manusia yang berbasis sistem komputer. Namun sistem tidak hanya terdapat pada komputer saja, akan tetapi disemua bidang kehidupan manusia, baik dari segi kesehatan, keamanan bahkan dalam game dimana kumpulan data dari kegiatan tersebut menjadi database yang dapat digunakan untuk mencari ilmu baru. Penelitian ini bertujuan untuk memprediksi akurasi permainan poker menggunakan algoritma Weight Improved Particle Swarm Optimization (WIPSO) untuk pemilihan atribut yang kemudian menggunakan algoritma C5.0 untuk memprediksi akurasi. Sebelum diolah, dataset akan diubah dari 11 atribut menjadi 6 atribut. Hasil penelitian ini menunjukkan bahwa akurasi kartu poker akan meningkat, jika menggunakan algoritma C5.0 akurasi yang diperoleh adalah 49.952% sedangkan akurasi yang diperoleh dengan algoritma C5.0 + WIPSO adalah 51.2%.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083590","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
Implementasi Algoritma Complement dan Multinomial Naïve Bayes Classifier Pada Klasifikasi Kategori Berita Media Online
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-13 DOI: 10.31937/ti.v13i1.1921
Muhammad Naufal Randhika, Julio Christian Young, Alethea Suryadibrata, Hadian Mandala
{"title":"Implementasi Algoritma Complement dan Multinomial Naïve Bayes Classifier Pada Klasifikasi Kategori Berita Media Online","authors":"Muhammad Naufal Randhika, Julio Christian Young, Alethea Suryadibrata, Hadian Mandala","doi":"10.31937/ti.v13i1.1921","DOIUrl":"https://doi.org/10.31937/ti.v13i1.1921","url":null,"abstract":"Perkembangan teknologi dan penyebaran informasi di internet terus mengalami peningkatan. Salah satu bentuk informasi yang jumlahnya terus bertambah adalah berita. Media cetak dan elektronik yang kini telah dikemas dalam bentuk digital atau sering dikenal dengan portal berita online atau media online. PT Merah Putih Media merupakan media berita online. Berita yang disampaikan terdiri dari tiga kategori mulai dari berita tentang Indonesia, Hiburan dan Gaya Hidup, serta Olahraga. Namun, pembagian artikel berita ke dalam kategori dilakukan secara manual oleh kepala redaksi jurnalis. Text Mining adalah salah satu teknik yang dapat digunakan untuk melakukan klasifikasi sebuah dokumen. Pada penelitian ini dilakukan klasifikasi kategori otomatis dengan algoritma Multinomial Naïve Bayes, Complement Naïve Bayes, dan gabungan kedua model. Model yang memiliki performa terbaik dinilai dari metrik F1-Score dengan jumlah pembagian data latih dan data uji sebanyak 80:20, diperoleh keberhasilan performa sebesar 90,13% F1-Score.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"106 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456052","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
Kinerja Arsitektur Interoperabilitas Menggunakan Government Service Bus (GSB) dan Peer to Peer (P2P) 利用公共汽车治理(GSB)和Peer对Peer (P2P)的内部架构表现
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-11 DOI: 10.31937/ti.v13i1.1816
Eko Wiyatnanto, Arief Indriarto Haris
{"title":"Kinerja Arsitektur Interoperabilitas Menggunakan Government Service Bus (GSB) dan Peer to Peer (P2P)","authors":"Eko Wiyatnanto, Arief Indriarto Haris","doi":"10.31937/ti.v13i1.1816","DOIUrl":"https://doi.org/10.31937/ti.v13i1.1816","url":null,"abstract":"Peran arsitektur interoperabilitas menjadi salah satu solusi terhadap permasalahan redudansi data dan perbedaan data yang menyebabkan tingkat keakuratan data menjadi rendah. Namun kinerja dari arsitektur interoperabilitas perlu dilakukan evaluasi sebagai upaya untuk meningkatan kualitas aplikasi itu sendiri. Penelitian ini bertujuan untuk mengevaluasi arsitektur interoperabilitas antara arsitektur menggunakan Government Service Bus (GSB) dan Peer to Peer (P2P), melalui beberapa pengujian, yaitu load testing dan stress testing. Pengujian load testing dan stress testing bertujuan untuk mengukur kecepatan dan ketahanan aplikasi dengan cara mengirimkan request dan mengukur respon dari aplikasi tersebut. Perbedaannya, pada load testing dilakukan pengujian dengan load condition tertentu, sedangkan pada stress testing dilakukan pengujian pada kondisi ekstrem. Pengujian load testing, dilakukan penetapan load condition dengan kelipatan jumlah pengguna 100 hingga 500, dengan tools JMeter. Pada stress testing, dilakukan pengujian dengan jumlah 1000 pengguna, dengan tools Loader.io. Hasil pengujian load testing menunjukan bahwa waktu rata-rata akses GSB lebih kecil dibanding P2P, dengan rata-rata 2ms hingga 309ms dan tingkat error request 0%. Hasil pengujian stress testing, arsitektur GSB lebih cepat dibanding dengan arsitektur P2P dengan selisih waktu rata-rata akses 2957/ms, selisih throughput sebesar 1.5/s, namun GSB memiliki tingkat error request lebih tinggi dibandingkan P2P dengan selisih 16,05%. Pada kondisi umum dengan beban tertentu, arsitektur GSB memiliki performansi yang lebih unggul, hal ini terlihat dari waktu akses dan error request. Sedangkan pada kondisi ekstrem arsitektur GSB mengalami penurunan performansi, hal ini terlihat dari tingkat error request yang lebih besar ketika menangani request dalam jumlah sangat besar.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753315","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
Implementasi Algoritma Simon Pada Aplikasi Kamus Perubahan Fi’il (Kata Kerja Bahasa Arab) Berbasis Android
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-11 DOI: 10.31937/ti.v13i1.1850
Rahmadi Akbar, B. Pramono, R. Saputra
{"title":"Implementasi Algoritma Simon Pada Aplikasi Kamus Perubahan Fi’il (Kata Kerja Bahasa Arab) Berbasis Android","authors":"Rahmadi Akbar, B. Pramono, R. Saputra","doi":"10.31937/ti.v13i1.1850","DOIUrl":"https://doi.org/10.31937/ti.v13i1.1850","url":null,"abstract":"Kata kunci—Algoritma String Matching, Algoritma Simon, Kamus Perubahan Fi’il Android \u0000  \u0000            Ilmu Shorof atau Tashrif adalah bidang keilmuan derivasi kata dalam Bahasa Arab, salah satu fokus pembahasan bidang ilmu tersebut ialah proses perubahan kata kerja atau disebut juga dengan Fi’il menjadi beberapa jenis kata yang lain, seperti Fi’il Mudhori’, Fi’il Madhi, Fi’il Amr, Fi’il Nahi, Isim Fa’il, Isim Maf’ul, Isim Zaman, Isim Makan, Isim Alat, Masdar maupun Masdar mim. Proses pembelajaran ilmu Shorof masih banyak dilakukan dengan cara tradisional, terutama dilingkungan pesantren dengan cara menghafal turunan-turunan kata tersebut beserta terjemahanya. Sedangkan salah satu kitab dasar yang sering digunakan ialah kitab Amtsilah At-Tashrifiyah karangan KH.Ma'shum bin Ali sebagai rujukan  proses perubahan kata, sedangakan untuk mencari terjemahan dalam Bahasa Indonesia harus menggunakan kamus Arab-Indonesia. Penelitian ini bertujuan untuk mempermudah proses pencarian kata dengan cara membuat kamus perubahan Fi’il berbasis android dan memanfaatkan Algoritma Simon sebagai metode pencarian katanya, sehingga dapat mempermudah proses pembelajaran ilmu Shorof. Algoritma Simon merupakan salah satu algoritma string matching  dengan fase pencocokannya dilakukan dari kiri ke kanan dengan tahapan inisialisasi tiap indeks pada pola yang diberikan. Setelah  dilakukan pengujian, proses pencarian kata dapat dilakukan dengan rata-rata running time yang dibutuhkan selama 3,67097786 mili second untuk pencarian kata dalam Bahasa Indonesia dan 23,8447333 mili second  untuk pencarian kata dalam Bahasa Arab","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132980477","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: 1
Aplikasi Pemantauan Media Sosial untuk Analisa Merek 用于品牌分析的社交媒体监控应用
Ultimatics : Jurnal Teknik Informatika Pub Date : 2021-06-11 DOI: 10.31937/ti.v13i1.1745
Riki Ginanjar, R. Rosalina, Aldo Wijaya
{"title":"Aplikasi Pemantauan Media Sosial untuk Analisa Merek","authors":"Riki Ginanjar, R. Rosalina, Aldo Wijaya","doi":"10.31937/ti.v13i1.1745","DOIUrl":"https://doi.org/10.31937/ti.v13i1.1745","url":null,"abstract":"Abstract— In recent years, micro-blogs on the Internet have become a popular way of expressing feelings, thoughts, and even communicating opinions about products and services that are common among its users. Collecting user opinions can be an expensive and time-consuming task using conventional methods such as surveys. The sentiment analysis of the customer opinions makes it easier for businesses to understand their competitive value in a changing market and to understand their customer views about their products and services. In this research, Lexicon-Based approach especially AFINN lexicon is implemented to classify user twitter sentiment, throughout which, twitter Micro-blogs data has been collected, pre-processed analyzed, and classified. The results of this research is an android application that could classify users' perspective via tweets into positive and negative, which is represented in a pie chart for Monthly report. \u0000Index Terms— Sentiment Analysis, Brand Analysis, Twitter, Android Application","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"9 Suppl 1 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123062818","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
Ulasan Literatur: Faktor-Faktor yang Mempengaruhi Adopsi Mobile Cloud Computing pada Mahasiswa 文献评论:影响学生移动云部署的因素
Ultimatics : Jurnal Teknik Informatika Pub Date : 2020-12-29 DOI: 10.31937/TI.V12I2.1836
Nina Fadilah Najwa, M. Furqon, Eki Saputra
{"title":"Ulasan Literatur: Faktor-Faktor yang Mempengaruhi Adopsi Mobile Cloud Computing pada Mahasiswa","authors":"Nina Fadilah Najwa, M. Furqon, Eki Saputra","doi":"10.31937/TI.V12I2.1836","DOIUrl":"https://doi.org/10.31937/TI.V12I2.1836","url":null,"abstract":"Mobile Cloud Computing provides cloud storage services to users inside a cloud. This study focuses on the factors that influence the adoption of mobile cloud storage usage in the higher education. The research methods used in this study include: (1) problem formulation; (2) literature search; and (3) formulation of factors for adopting mobile cloud computing (4) validation and reliability test. The results obtained is a conceptual model that can be tested empirically. The main five factors are: (1) knowledge sharing variables; (2) Perceived usefulness variable (3) trust variable; (4) the attitude towards variable; and (5) the variable of behavioral intention of use. Each variable formulated in the conceptual model will be developed into items that are measurement indicators. The research contribution is in the form of a research model that is useful for empirical research on the factors of adoption of the use of Mobile Cloud Computing in the education sector.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122768880","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
Perbandingan Metode Single Exponential Smoothing dan Metode Holt untuk Prediksi Kasus COVID-19 di Indonesia 将单次平滑法和霍尔特方法与印尼COVID-19案件的预测方法进行比较
Ultimatics : Jurnal Teknik Informatika Pub Date : 2020-12-29 DOI: 10.31937/TI.V12I2.1689
Nur Hijrah As Salam Al Ihsan, H. Dzakiyah, Febri Liantoni
{"title":"Perbandingan Metode Single Exponential Smoothing dan Metode Holt untuk Prediksi Kasus COVID-19 di Indonesia","authors":"Nur Hijrah As Salam Al Ihsan, H. Dzakiyah, Febri Liantoni","doi":"10.31937/TI.V12I2.1689","DOIUrl":"https://doi.org/10.31937/TI.V12I2.1689","url":null,"abstract":"Coronavirus disease (COVID-19) was first discovered in December 2019 in Wuhan, China, and spread so quickly into a pandemic. This outbreak has spread to 24 other countries, including Indonesia. Its spread is very fast, so a co-19 prediction study is needed to be able to make the right policy. To be able to predict the number of COVID-19 cases can be done with the Forecasting Technique. The purpose of this study is to forecast and compare Single Exponential Smoothing and Double Exponential Smoothing ¬ against the number of COVID-19 cases in Indonesia. The results of this study can be used as consideration for policymaking in dealing with the spread of COVID-19. Distribution predictions are based on data released by the Indonesian National Disaster Management Agency (BNPB) in the first 100 days of COVID-19 deployment. The results of this study are the Double Exponential Smoothing method is more accurate than the Single Exponential Smoothing method because the forecasting results show an increase from the previous data. And the percentage of errors (MAPE) obtained is significantly smaller.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024945","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
Prediksi Kedatangan Turis Menggunakan Algoritma Weighted Exponential Moving Average
Ultimatics : Jurnal Teknik Informatika Pub Date : 2020-12-29 DOI: 10.31937/TI.V12I2.1831
Sherly Florencia, Alethea Suryadibrata
{"title":"Prediksi Kedatangan Turis Menggunakan Algoritma Weighted Exponential Moving Average","authors":"Sherly Florencia, Alethea Suryadibrata","doi":"10.31937/TI.V12I2.1831","DOIUrl":"https://doi.org/10.31937/TI.V12I2.1831","url":null,"abstract":"Tourism is an important factor for the development of a country. Tourism can be used as a promotion to introduce natural beauty and cultural uniqueness. Government needs to predict how many tourists will come every year to do a planning. Therefore, an application is needed to help to predict the arrival of tourists in each country. In this paper, we use Weighted Exponential Moving Average (WEMA) method to predict the arrival of tourist, tourism expenditure in the country, and departure using data from 2008 to 2018. Error measurement is calculated using the Mean Absolute Percentage Error (MAPE). The result shows that the lowest average MAPE on arrival data with span 2 is at 3.28. The lowest average MAPE on tourism expenditure data with span 2 is at 3.99%. The result shows that the lowest average MAPE on departure data with span 2 is at 3.63%.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127458631","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: 1
Prediksi Tingkat Kelulusan Tepat Waktu Mahasiswa Menggunakan Algoritma Naïve Bayes pada Universitas XYZ 学生在XYZ大学使用Naive Bayes算法时对毕业率的预测非常精确
Ultimatics : Jurnal Teknik Informatika Pub Date : 2020-12-29 DOI: 10.31937/TI.V12I2.1715
Nurhayati, Nuraeny Septianti, Naning Retnowati, Arie Wibowo
{"title":"Prediksi Tingkat Kelulusan Tepat Waktu Mahasiswa Menggunakan Algoritma Naïve Bayes pada Universitas XYZ","authors":"Nurhayati, Nuraeny Septianti, Naning Retnowati, Arie Wibowo","doi":"10.31937/TI.V12I2.1715","DOIUrl":"https://doi.org/10.31937/TI.V12I2.1715","url":null,"abstract":"Data processing is imperative for the development of information technology. Almost any field of work has information about data. The data is made use of the analysis of the job. Nowadays, information data is imperatively processed to help workers in making decisions. This study discusses student prediction graduation rates by using the naïve Bayes method. That aims at providing information to college if they can use it properly to utilize the data of students who graduated by processing data mining. Based on the data mining process, steps founded that used producing information, namely predicting student graduation on time. The method of this study is Naïve Bayes with classification techniques. At this study, researchers used a six-phase data mining process of industry crossing standards in data mining known as CRISP-DM. The results of research concluded that the application of the Naive Bayes algorithm uses 4 (four) parameters namely ips, ipk, the number of credits, and graduation by getting an accuracy value of 80.95%.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133501943","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
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