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Applied Informatics Jurnal Manajemen Informatika Jambura Journal of Informatics JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EXPLORE ComTech: Computer, Mathematics and Engineering Applications CSRID (Computer Science Research and Its Development Journal) Jurnal Ilmiah Sinus Informasi Interaktif Majalah Ilmiah Bahari Jogja CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika TAFAQQUH: Jurnal Hukum Ekonomi Syariah Dan Ahwal Syahsiyah Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Technologia: Jurnal Ilmiah JURNAL TAHURI SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Aisyah Journal of Informatics and Electrical Engineering Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics TAJDID KURVATEK Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Tecnoscienza Respati Jurnal Teknika IT (INFORMATIC TECHNIQUE) JOURNAL JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Journal of Intelligent Decision Support System (IDSS) G-Tech : Jurnal Teknologi Terapan SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL International Journal of Advances in Data and Information Systems Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Bulletin of Computer Science and Electrical Engineering (BCSEE) Infotek : Jurnal Informatika dan Teknologi jurnal syntax admiration Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) TEPIAN Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Electrical Engineering and Computer (JEECOM) Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Mitra Mahajana: Jurnal Pengabdian Masyarakat Journal of Applied Computer Science and Technology (JACOST) Jurnal Pendidikan dan Teknologi Indonesia International Journal of Computer and Information System (IJCIS) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) International Research on Big-data and Computer Technology (IRobot) Bulletin of Computer Science Research INFOSYS (INFORMATION SYSTEM) JOURNAL J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) International Journal of Research and Applied Technology (INJURATECH) Jurnal Ekonomi dan Teknik Informatika International Journal Artificial Intelligent and Informatics Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Dinamika Informatika (JDI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi sudo Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram EXPLORE Journal of Comprehensive Science Techno SENTRI: Jurnal Riset Ilmiah Indonesian Journal Computer Science (ijcs) Jurnal Educative: Journal of Educational Studies Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer JURNAL TEKNIK INDUSTRI STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Pendidikan Indonesia (Japendi) Cerdika: Jurnal Ilmiah Indonesia International Journal of Advanced Science Computing and Engineering Innovative: Journal Of Social Science Research J-Icon : Jurnal Komputer dan Informatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) SmartComp Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Teknomatika: Jurnal Informatika dan Komputer Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Tafaqquh : Jurnal Hukum Ekonomi Syariah dan Ahwal Syahsiyah Explore The Indonesian Journal of Computer Science Scientific Journal of Informatics Jurnal Teknologi KOPEMAS International Journal of Information Engineering and Science At-Tahdzib: Jurnal Studi Islam dan Muamalah semanTIK JESICA Jurnal Sistem Informasi Komputer dan Teknologi Informasi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Business, Social, Management, and Technology Jurnal Komtika (Komputasi dan Informatika)
Ema Utami
Universitas Amikom Yogyakarta
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IMPLEMENTASI SINKRONASI DATABASE SQL DENGAN REPLIKASI PADA APLIKASI FINANCE PT.XYZ Muhammad Firdaus Abdi; Agung Susanto; Ema Utami; Kusnawi Kusnawi
Technologia : Jurnal Ilmiah Vol 12, No 2 (2021): Technologia (April)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.428 KB) | DOI: 10.31602/tji.v12i2.4577

Abstract

Database atau basisdata pada perkembangannya harus dikelola dengan baik, apalagi saat ini database yang didalamnya memiliki informasi data penting sebuah perusahaan yang harus dilindungi dari hilangnya data sehingga diperlukannya sistem untuk membackup data tersebut. Disisi lain ketika sebuah aplikasi yang dimiliki perusahaan memiliki dua tempat site A dan site B yang dimana saling terhubung sehingga diperlukan sistem untuk menangani ketika satu tempat mengalami gangguan aplikasi itu dapat berkerja dan ketika sistem sudah berjalan baik data pada site A dan site B memiliki data yang sama. Penelitian ini mencoba mengimplementasikan sistem replikasi data, yang dimana data site A dan site B akan dihubungkan, selanjutnya akan dilakukan replikasi data dengan sistem sinkronisasi database. Hasil dari implementasi ini berhasil dilakukan akan tetapi untuk memastikan proses replikasi data berhasil dilakukan pengujian lain seperti penghapusan data, edit data, ubah data, dari pengujian ini semua berhasil sinkron antara site A dan site B sehingga data yang dimiliki sama antar site, pengujian yang dilakukan diolah dalam bentuk persentasi keberhasilan sehingga didapat proses sinkronisasi database dengan replikasi data 100%, untuk itu replikasi ini dapat terapkan untuk proses bisnis pada perusahaan PT. XYZ dalam penanganan sistem database yang dikelola. Kata Kunci -      SQL Server, Replikasi Data, Database, Data, SQL
Analisis Sentimen Ketidakstabilan Harga Gabah Berbasis Data Twitter Dedy Sugiarto; Reyhan Dwi Putra; Wahyu Hidayat; Ema Utami; Ainul Yaqin
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 13, No 1 (2022): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v13i1.2197

Abstract

Pendapat masyarakat baik bersifat positif, negatif maupun netral terkait sebuah kebijakan tertentu atau fenomena di masyarakat ini menjadi hal yang berharga untuk dianalisis melalui sebuah metode yang disebut sebagai analisis sentimen. Kasus dalam penelitian ini adalah  turunnya harga gabah pada awal sampai dengan pertengahan tahun 2021. Penelitian ini bertujuan untuk mengetahui persentase polaritas sentiment yang muncul bila dikaitkan dengan kata kunci harga gabah serta menentukan tingkat akurasi prediksi kelas sentiment menggunakan metode Naïve Bayes.  Hasil penelitian menunjukkan persentase sentiment terbesar adalah bersifat negative sebanyak 46.30 persen,  netral 32,70 persen dan positif sebanyak 20,99 persen. Hasil wordcloud juga menunjukkan pengguna twitter mengkaitkan persoalan harga gabah ini dikaitkan dengan impor beras, peran pemerintah serta pupuk. Hasil klasifikasi menunjukkan nilai akurasi yang cukup baik yaitu sebesar 67,32 persen.
Diabetes Wound Perimeter Analysis Using Pixel Per Metric wien Fitrian Roshandri; Ema Utami
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1255

Abstract

The study was conducted to test the accuracy of pixel permetric (PPM)-based diabetic wound perimeter using canny edge, gaussian filter, streamlit, OpenCV, Python and aruco marker. K-Means is used to detect, classify and segment three types of wounds namely granulation, necrotics and slough. Images of wounds are taken directly on the patient so the dataset is primary data. Accuracy tests are carried out by comparing manual measurements against digital calculations. Manual measurements use mica as a sketch. The thread is used to shade the mica sketch and the length of the thread will be measured using a ruler. Aruco markers are used as a reference to the length of the object. The results of the study from 7 sample data received an average accuracy error of at least 0.49% and a maximum of 5.75%. This is influenced by various factors including validation of manual measuring results that are still less thorough, sharpness of the image, and calibration of the camera. Of the three types of tissue wounds, granulation is the most identifiable type, followed by slough, and the most difficult to identify is necrosis. The study concludes that the results of the accuracy-test have obtained a value that is in accordance with the problem limit, namely accuracy above 90%, with the independent T-test value homogeneous test is t_hitung< t_tabel equivalent to 0.005535 < 2.228 with a deviation of ꭤ = 0.05 so that it is concluded that there is no significant difference in the two-variable values of manual measurement to digital planimetry measurements. Further research can then test accuracy with artificial intelligence deep learning methods with sample datasets such as uNet, SegNet, and other methods 
Comparison of Naïve Bayes Algorithm and XGBoost on Local Product Review Text Classification Ivan Rifky Hendrawan; Ema Utami; Anggit Dwi Hartanto
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 1 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i1.5613

Abstract

Online reviews are critical in supporting purchasing decisions because, with the development of e-commerce, there are more and more fake reviews, so more and more consumers are worried about being deceived in online shopping. Sentiment analysis can be applied to Marketplace product reviews. This study aims to compare the two categories of Naïve Bayes and XGBoost by using the two vector spaces wod2vec and TFIDF. The methods used in this research are data collection, data cleaning, data labelling, data pre-processing, classification and evaluation. The data scraping process produced 25,581 data which was divided into 80% training data and 20% test data. The data is divided into two classes, namely good sentiment and bad sentiment. Based on the research that has been done, the combination of Word2vec + XGBoost F1 scores higher by 0.941, followed by TF-IDF + XGBoost by 0.940. Meanwhile, Naïve Bayes has an F1-Score of 0.915 with TF-IDF and 0.900 with word2vec. Classification using XGBoost proved to be able to classify unbalanced data better than Naïve Bayes.
COMPARISON NAÏVE BAYES CLASSIFIER, K-NEAREST NEIGHBOR AND SUPPORT VECTOR MACHINE IN THE CLASSIFICATION OF INDIVIDUAL ON TWITTER ACCOUNT aristin chusnul khotimah; Ema Utami
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.254

Abstract

In current’s digital era, people can take advantage of the ease and effectiveness of interacting with each other. The most popular online activity in Indonesia is the use of sosial media. Twitter is a social media that allows people to build communication between users and get the latest information or news. Information obtained from twitter can be processed to get the characteristics of a person using the DISC method, DISC is a behavioral model that helps every human being why someone does. To classify the tweet into the DISC method using algorithms naïve bayes classifier, k-nearest neighbor and support vector machine with the TF-IDF weighting. The results is compare the accuracy of the naïve bayes classifier algorithm has an accuracy rate of 31.5%, k-nearest neighbor has an accuracy rate of 23.8%, while the support vector machine has an accuracy rate of 28.4%.
ANALISIS SENTIMEN MASYARAKAT TERHADAP PELAKSANAAN P3K GURU DENGAN ALGORITMA NAIVE BAYES DAN DECISION TREE Fitriani Fitriani; Ema Utami; Anggit Dwi Hartanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 1 (2022): Mei 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i1.53

Abstract

The implementation of education in Indonesia is still inseparable from the problems of teacher management, honorary teachers, and bureaucratic reforms that affect the quality of education and the work climate in it. In an effort to improve the quality of public services by the State Civil Apparatus (ASN), the Ministry of Education and Culture agreed with the Ministry of Empowerment of State Apparatus and Bureaucratic Reform and the Ministry of Finance to change the government employee teacher recruitment system from accepting Civil Servant Candidates (CPNS) to Government Employees by Work Agreement (PPPK) which in its implementation still leaves several problems and pros and cons. Therefore, the researchers conducted a sentiment analysis in the field of data mining on the Implementation of Teacher Teacher Training on social media Twitter as many as 871 data which were then filtered and cleaned into 519 data due to duplicate data, empty data and data cleaning. The author uses the Naive Bayes and Decision Tree methods to compare the accuracy of the two methods. The researcher uses RapidMiner version 9.10.1 tools. The results showed that the sentiment analysis of Twitter data on teacher PPPK using the Naive Bayes method achieved an accuracy rate of 100.00%. Where is the class precision for pred. negative is 100.00% and pred positive is 100.00%, in the Decision Tree method the accuracy rate reaches 53.95%. Where is the class precision for pred. negative was 0.00% and pred positive was 53.95%. In this study, it can be seen that the Naive Bayes method is a method that has a higher accuracy rate than other methods with an accuracy rate of 100.00%. Keywords: Sentiment Analysis; PPPK; Indonesia; Data Mining
PREDIKSI TINGKAT KELULUSAN TEPAT WAKTU DENGAN METODE NAÏVE BAYES DAN K-NEAREST NEIGHBOR Sidik Rahmatullah; Ema Utami
Jurnal informasi dan komputer Vol 7 No 1 (2019): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2019 pada bulan 4  (A
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.377 KB) | DOI: 10.35959/jik.v7i1.118

Abstract

Lulusan adalah status yang dicapai mahasiswa setelah menyelesaikan proses pendidikan sesuai dengan persyaratan kelulusan yang ditetapkan oleh program studi. Sebagai salah satu keluaran langsung dari proses pendidikan yang dilakukan oleh program studi, lulusan yang bermutu memiliki ciri penguasaan kompetensi akademik termasuk hard skills dan soft skills sebagaimana dinyatakan dalam sasaran mutu serta dibuktikan dengan kinerja lulusan di masyarakat sesuai dengan profesi dan bidang ilmu. Program studi yang bermutu memiliki sistem pengelolaan lulusan yang baik sehingga mampu menjadikannya sebagai human capital bagi progam studi yang bersangkutan. Penelitian ini menggunakan metode data mining yang digunakan untuk memprediksi tingkat kelulusan mahasiswa menggunakan dua metode yaitu Naive Bayes dan K-Nearest Neighbor. Hasil dari penelitian ini dapat memprediksi mahasiswa tepat lulus atau terlambat. Uji coba dilakukan dengan menggunakan data lulusan mahasiswa S1 Sistem informasi STMIK Dian Cipta Cendikia Kotabumi sebanyak 600 data untuk training dan 180 data untuk testing. Hasil uji coba menunjukkan bahwa dengan menggunakan Naive Bayes menghasilkan akurasi sebesar 85%, sedangkan menggunakan algoritma K-nearest neighbor menghasilkan akurasi sebesar 68.89 %.
ANALISA INFRASTRUKTUR TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 4.1 Ngajiyanto Ngajiyanto; Ema Utami
Jurnal informasi dan komputer Vol 7 No 2 (2019): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2019 pada bulan 10 (O
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.48 KB) | DOI: 10.35959/jik.v7i2.145

Abstract

STMIK Dian Cipta Cendikia kotabumi adalah salah satu perguruan tinggi yang dalam operasionalnya menggunakan teknologi informasi, seperti sistem informasi akademik, sistem informasi jurnal dan lain-lain, namun di STMIK Dian Cipta Cendikia Kotabumi belum memiliki suatu indikator yang dapat menyatakan bahwa kinerja teknologi informasi telah sesuai dengan tujuan yang ingin dicapai. Maka perlu dilakukan analisis tata kelola teknologi informasi guna mengetahui apakah performa teknologi informasi sekarang telah sesuai dengan yang diharapkan oleh manajemen atau tidak. Metode yang digunakan dalam penelitian ini adalah metode deskriptif analisis dengan pendekatan kuantitatif, yaitu penelitian yang kemudian diolah dan dianalisis untuk diambil kesimpulan, maka penelitian dengan metode deskriptif kuantitatif yaitu suatu bentuk penelitian yang berdasarkan data yang dikumpulkan selama penelitian secara sistematis mengenai fakta-fakta dan sifat-sifat dari obyek yang diteliti dengan menggabungkan hubungan antar variable yang terlibat didalamnya, kemudian diinterpretasikan berdasarkan teori-teori dan literatur- literatur yang bertujuan untuk memberikan gambaran yang cukup jelas atas masalah yang diteliti, dan data tersebut akan dihitung secara statistik. Berdasarkan analisa tingkat kematangan maturity level pada domain DS11 didapatkan bahwa tingkat kematangan berada pada level 4-Defined level, untuk domain DS12 didapatkan bahwa tingkat kematangan berada pada level 4 – Defined leve, dan pada domain ME01 didapatkan bahwa tingkat kematangan berada pada Level: 4 – Defined level.
EVALUASI KEPUASAN PENGGUNA TERHADAP APLIKASI AUDIO BOOKS Raditya Maulana Anuraga; Ema Utami; Hanif Al Fatta
MULTITEK INDONESIA Vol 10, No 2 (2016): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.716 KB) | DOI: 10.24269/mtkind.v10i2.341

Abstract

Listeno is the first application audio books in Indonesia so that the users can get the book in audio form like listen to music, Listeno have problems in a feature request Listeno offline mode that have not been released, a security problem mp3 files that must be considered, and the target Listeno not yet reached 100,000 active users. This research has the objective to evaluate user satisfaction to Audio Books with research method approach, Nielsen. The analysis in this study using Importance Performance Analysis (IPA) is combined with the index of User Satisfaction (IKP) based on the indicators used are: Benefit (Usefulness), Utility (Utility), Usability (Usability), easy to understand (Learnability), Efficient (efficiency) , Easy to remember (Memorability), Error (Error), and satisfaction (satisfaction). The results showed Applications User Satisfaction Audio books are quite satisfied with the results of the calculation IKP 69.58%..
EVALUASI KEBERHASILAN WEBSITE PEMERINTAH DAERAH KABUPATEN REJANG LEBONG DENGAN METODE ITPOSMO Andang Wijanarko; Ema Utami; Henderi Henderi
JURNAL EKONOMI DAN TEKNIK INFORMATIKA Vol 4 No 1 (2016): Jurnal Ekonomi dan Teknik Informatika
Publisher : Politeknik Sawunggalih Aji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.47 KB)

Abstract

The website also serves as a tool or a tool for implementing e-government. The use of media websites is one way to realize a clean government, transparent and authoritative or known good governance. This study uses ITPOSMO approach to assess the success rate of the district local government website Rejang Lebong. Model ITPOSMO considered appropriate to evaluate the implementation of e-government for using the approach of the seven dimensions, namely information, technology, processes, objectives and values, staffing and skills, management systems and structures, other resources (time and money) in assessing the success or failure of a e-government projects. The results of this study indicate that the local government website Rejang Lebong district declared a failure in implementing e-government with a value gap scoring 38.12. Of the seven dimensions evaluated, staffing and skill dimension is the dimension of the lowest levels of his gap of 2.5, and the dimensions of the resource: time and money into the greatest dimension of its value gap that is equal to 7.85. Keywords: Website, E-government, ITPOSMO
Co-Authors , Anggit Dwi Hartanto A.A. 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