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All Journal Techno.Com: Jurnal Teknologi Informasi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JAIS (Journal of Applied Intelligent System) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Informatika dan Rekayasa Perangkat Lunak BUDGETING : Journal of Business, Management and Accounting International Journal of Artificial Intelligence and Robotics (IJAIR) Journal of Soft Computing Exploration Jurnal Citrakara Seminar Nasional Teknologi dan Multidisiplin Ilmu
Ery Mintorini
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Social Sciences Other

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Pengamanan Data Kombinasi Metode Cipher Block Chaining dan Modifikasi LSB Wildan Mahmud; Ery Mintorini
Techno.Com Vol 19, No 1 (2020): Februari 2020
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.751 KB) | DOI: 10.33633/tc.v19i1.3375

Abstract

Perkembangan Internet dan aplikasi berbasis jaringan telah menjangkau ke berbagai macam aplikasi yang memungkinkan seseorang untuk saling berkirim pesan dan informasi tanpa dibatasi jarak dan waktu. Seiring dengan perkembangan itu pula, kerentanan akan aspek keamanan sebuah system juga semakin meningkat. Dalam penelitian ini, peneliti mencoba menerapkan kombinasi antara metode kriptografi dan steganografi yang bertujuan untuk meningkatkan upaya pengamanan sebuah pesan. Kriptografi Cipher Block Chaining (CBC) merupakan kriptografi yang sudah umum digunakan contohnya pada protocol internet TLS dan IPsec. Proses enkripsi dan dekripsi CBC memerlukan waktu yang relatif singkat karena mode CBC memiliki kecepatan dan efisiensi lebih tinggi dan dinilai lebih mudah diimplementasikan. Metode berikutnya yang digunakan adalah Steganografi Least Significant Bit (LSB) yang bekerja secara sederhana namun sangat efektif dalam menyisipkan pesan tersembunyi. Namun, beberapa penelitian menemukan kelemahan LSB yang dapat menemukan keberadaan pesan tersembunyi menggunakan algoritma steganalytic pada tingkat embedding yang rendah. Untuk itu, LSB harus dikembangkan lagi dengan menerapkan deteksi tepi sobel yang dapat bekerja untuk mendeteksi keypoint penyembunyian pesan sehingga LSB tidak lagi bekerja secara standar. Kombinasi metode CBC dan LSB-Sobel telah terbukti dan berhasil merahasiakan pesan dengan baik dan menghasilkan stego-image yang berkualitas tinggi setelah dilakukan pengujian PSNR dan MSE. Kata kunci: Kriptografi, steganografi, CBC, LSB, Deteksi Tepi Sobel
Rabbit Type Classification Using Multi-SVM Based on Feature Extraction Ery Mintorini; Wildan Mahmud
Journal of Applied Intelligent System Vol 4, No 2 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i2.3381

Abstract

Rabbits reputation of being cute, fluffy, cuddly critters lend then to being a popular choice for children pets. But in raising a rabbit is not easy, this depends on the type of rabbit. Rabbits that commonly pet are Rex Rabbits, American Rabbits, and Giant Rabbits. Rex Rabbits itself has some species including Rex Amber and Rex Lilac species, Giant Rabbits rabbits includes Giant Chekered rabbit, Harleyquin, dan American White Rabbit. Classification technology can be used to help the classification process of rabbits are Multi-SVM method and image feature extraction to classify rabbit species. Feature extraction used in this study is mean, variance, skewness, kurtosis, entropy. The five features are classified with Multi-SVM. The data used in this study are 125 images, consisting of 100 training images and 25 test images. The accuracy of this method reached 92%. Keywords – Classification, Multi-SVM, Rabbit, Feature Extraction
Perancangan Desain Karakter Sakuya dengan Pendekatan Metode Manga Matrix Wisnu Pratama; Ichwan Setiarso; Ery Mintorini; Gilang Rizky Gardianto
CITRAKARA Vol 3, No 3 (2021): DESEMBER 2021
Publisher : CITRAKARA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desain karakter merupakan salah satu unsur visual utama dalam beberapa produk kreatif seperti komik, animasi, dan lainnya. Sebagai sebuah intellectual property, desain karakter Sakuya harus dirancang dengan baik agar dapat membawa pesan cerita. Perancangan desain karakter menggunakan metode Manga Matrix yang mendeskripsikan karakter secara lengkap yaitu form matrix, custome matrix, dan personality matrix.  Hasilnya desain karakter Sakuya memiliki kesesuaian antara matriks bentuk, kostum, dengan kepribadian atau personality yang dibangun sesuai konsep cerita yang diberikan. Desain karakter Sakuya diimplementasikan ke dalam komik sesuai dengan pengembangan karakter yang dibuat.
Peran Layanan Digital bagi UMKM dalam Mendorong Peningkatan Inklusi Keuangan Widyatmoko Widyatmoko; Tri Esti Rahayuningtyas; Ery Mintorini
BUDGETING : Journal of Business, Management and Accounting Vol 4 No 2 (2023): BUDGETING : Journal of Business, Management and Accounting
Publisher : Institut Penelitian Matematika Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/budgeting.v4i2.5254

Abstract

The purpose of this study is to be able to find out and analyze the relationship between the financial performance of micro, small and medium enterprises or MSMESs and knowledge of financial inclusion towards the implementation of digitization in order to assist and facilitate financial inclusion activities towards public knowledge. This study uses a descriptive quantitative research method. The results of the research are data processing using SPSS 26 statistics and the results show that financial inclusion can trigger an increase in public knowledge or micro, small and medium enterprises, and financial inclusion can improve financial performance with knowledge of existing products in banking institutions with digital technology facilities. From the results of the study it can be concluded that MSMEs business actors have a partial effect on the use of digital technology services. Likewise, the knowledge variable about financial inclusion has a partial effect on the use of digital technology services. Keywords: Digital, Financial Inclusion, Micro, Small and Medium Enterprises
Strategi Manajemen Perusahaan Menyongsong Era Society 5.0 Angel Frilyaningrum; Ainun Muhtadin; M. Sjamsul Hidajat; Ery Mintorini
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol 1 No 1 (2021): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/semnastekmu.v1i1.144

Abstract

Menghadapi dan menyonsong era society 5.0, penggunaan digitalisasi atau teknologi informasi menjadi perhatian tersendiri dalam aspek-aspek manajemen perusahaan mengenai proses kegiatan dalam menyelesaikan permasalahan yang dihadapi di masa datang. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisa strategi manajemen memasuki era society 5.0 dengan berbasis tata kelola manajemen perusahaan yang tepat. Metode penelitian menggunakan pendekatan kualitatif dengan pengambilan sumber datanya secara sekunder yang berasal dari beberapa pustakan dan referensi terdahulu diantara buku, berbagai jurnal, serta dokumen yang berkaitan sesuai kajian dan tema penelitian dan dianalisis. Temuan studi ini menunjukkan bahwa Perusahaan telah melakukan persiapan dan penguatan strategi manajemen dengan memperhatikan tata kelola perencanaan manajemen. Namun, penguatan strategi manajemen memasuki era society 5.0 banyak mengalami kendala terkait masih dominannya budaya birokrasi perusahaan akan memanfaatkan teknologi digital dan komunikasi informasi dalam orientasi proses kegiatan manajemen sebuah perusahaan. Dengan demikian bahwa perencanaan perusahaan dalam menghadapi era Society 5.0 sedini mungkin dipersiapkan secara tepat dan cepat memgambail tindakan sesaui kendala dan segala bentuk perubahan lingkungan dan perkembangannya.
Konsep Algoritma Forward Chaining dan Faktor Kepastian untuk Mendiagnosa serta Pencarian Solusi Masalah Kulit Wajah Ery Mintorini; Moch. Sjamsul Hidajat
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 14, No 2 (2023): Desember
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v14i2.3436

Abstract

Saat ini banyak orang terutama para wanita yang mendambakan kulit yang sehat dan juga wajah yang bersih serta terawat. Banyak cara yang dilakukan agar kulit mereka bersih seperti yang didambakan. Namun, tidak jarang juga diantara mereka yang tidak memiliki cara tepat untuk mengatasinya. Hal ini disebabkan adanya keterbatasan pengetahuan tentang perawatan kulit wajah dan biaya konsultasi ke pakar. Konsultasi tentunya membutuhkan dana yang tidak sedikit, sehingga tidak semua dapat melakukan upaya ini. Untuk mengatasi kendala keterbatasan dana untuk melakukan konsultasi ini adalah dengan membuat suatu sistem yang mampu beraktifitas selayaknya seorang ahli yang dikenal sebagai sistem pakar. Sistem pakar dapat didefiisikan sebagai suatu sistem yang mengadopsi kemampuan seorang pakar dengan memasukkan semua kemampuann pakar kedalam sistem. Ada banyak metode yang dapat diterapkan dalam sistem pakar diantaranya adalah forward chaining dan faktor kepastian. Penelitian kali ini bertujujan untuk membuat sistem pakar yang dapat diterapkan untuk diagnosa masalah- kulit wajah serta pencarian solusi penyelesaian menggunakan metode runut maju dan faktor kepastian. Hasil pengujian yang dilakukan dalam sistem ini membuktikan keakuratan sistem pakar dalam mendeteksi masalah yang dihadapi dan mampu memberikan solusi atas masalah tersebut dengan baik.
Comparative Analysis of the Performance Testing Results of the Backtracking and Genetics Algorithm in Solving Sudoku Games Indriyono, Bonifacius; Pamungkas, Natalinda; Pratama, Zudha; Mintorini, Ery; Dimentieva, Imelda; Mellati, Pita
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 5 No. 1 (2023): May 2023
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v5i1.6501

Abstract

Games that hone thinking skills and logical accuracy have recently been very popular. One of them is the game Sudoku. Sudoku is a game that hones logic through puzzles arranged in rows and columns. Sudoku is also defined as a puzzle game that aims to arrange several numbers in a grid from one to nine on a grid consisting of 9x9 squares. The concept of this Sudoku game is to enter numbers into the rows and columns provided. The rule of this game is that the numbers arranged on the board cannot be the same in every row, column, and 3x3 square in the grid. In another sense, each number entered must appear once in each row and column. When running Sudoku, several numbers are already instructions for players to fill in the next boxes. The number of clues at the beginning of the game determines the difficulty level players face. The fewer clues, the more difficult the Sudoku is to solve. This study aims to compare how to solve Sudoku using genetic algorithms, backtracking, and the completion time needed. The tests' results show that the genetic and backtracking algorithms can solve Sudoku games quickly. Still, the backtracking algorithm has the advantage of being relatively shorter, and the process is not so complicated that the backtracking algorithm can be an alternative solution to solving Sudoku logic games.
Human Resource Development Through Knowledge Management System Rahayuningtyas, Tri Esti; Widyatmoko, Widyatmoko; Mintorini, Ery; Chandriana, Tri Dian
Journal of Applied Intelligent System Vol. 8 No. 1 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i1.7157

Abstract

In the era of globalization, knowledge within the company has become something that is very decisive for the success of a company. Knowledge Management System (KMS) as a key element in knowledge management, is an application system used by organizations to manage tacit and explicit knowledge as a platform for communicating information. Employee Cooperative (Kopkar) PT. Gudang Garam Tbk is a cooperative engaged in savings and loans under the auspices of PT. Gudang Garam Tbk Kediri which has a very important role in improving the welfare of employees. The advancement of science and technology is a new challenge for the HR & General Division to process the knowledge assets owned by each employee. As a result of the very accelerating effect of globalization, the emphasis on the importance of the quality of human resources (HR) is one response in responding to these changes. This research method uses data collection methods, data analysis and software development. While analyzing the knowledge management process into a client/server oriented system using the SECI model. From the report, 80% of the discussions that are often shared are in the category of cooperative management issues, and 20% discuss articles about the role of technology and how to grow productivity in an organization.
Implementation Chatbot on Discord for Information Assistance and Conflict Prevention Pratama, Zudha; Mintorini, Ery; Karmila, Karmila; Hermanto, Didik
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9089

Abstract

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.
Data Mining Application Analyzing Customer Purchase Patterns Using The Apriori Algorithm Prayugo, Moh. Lambang; Wibowo, Dibyo Adi; Hidajat, Moch. Sjamsul; Mintorini, Ery; Ali, Rabei Raad
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10308

Abstract

The study aims to implement Data Mining with Apriori Algorithm and Association Methods (shop cart analysis) to analyze the sales pattern of Kaffa Beauty Shop stores as a case study. Sales information obtained from stores is used to find out the repeated buying habits of cosmetic products. This analysis provides store owners with valuable information to make more useful decisions about product inventory management, marketing strategies, and other aspects of their business. The Apriori Algorithm implementation follows steps including data preprocessing, subsetting, frequent dataset search, and strong association rules (strong Association Rules). The results of the analysis show that there are important purchasing patterns among some cosmetic products that can be the basis of a more effective sales strategy. The study helps understand how data mining and Apriori Algorithms can be applied in business contexts such as Kaffa Beauty Shop stores. Therefore, the results of this analysis are expected to contribute greatly to improving business efficiency and optimizing marketing strategies for store owners and stakeholders. The research is also expected to show the enormous potential of data analysis to support optimal business decision making.
Co-Authors Ainun Muhtadin Ali, Rabei Raad Angel Frilyaningrum Arika Norma Wahyu Dorroty Bhekti Eka Ferdianto Bonifacius Vicky Indriyono Budi Widjajanto Chandriana, Tri Dian Christy Atika Sari Dibyo Adi Wibowo Didik Hermanto Dimentieva, Imelda Eko Hari Rachmawanto Erika Devi Udayanti Erna Daniati Gilang Rizky Gardianto Hyperastuty, Agoes Santika Ichwan Setiarso Ida Farida Imam Nuryanto Indriyono, Bonifacius Iqlima Zahari Jaka Prasetya karmila karmila Lewa, Andi Hallang Mellati, Pita Moch. Sjamsul Hidajat Natalinda Pamungkas Pamungkas, Natalinda Pratama, Zudha Prayugo, Moh. Lambang Putri Hartarani, Wiedya Sanina Quamila Putri Setiawan, Aries Setiawan, Fachruddin Ari Toni Wibowo Tri Esti Rahayuningtyas Widyatmoko Widyatmoko Wildan Mahmud Wisnu Pratama