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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi JURNAL EKONOMI DAN BISNIS AIRLANGGA EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Teknik Komputer AMIK BSI INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Telematika Indonesian Journal of Applied Informatics Jurnal Sistem Cerdas JISKa (Jurnal Informatika Sunan Kalijaga) Syntax Idea JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Indonesian Community Journal Journal of Social Science J-Icon : Jurnal Komputer dan Informatika Journal of Computing Theories and Applications Asian Journal of Management, Entrepreneurship and Social Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika) Jurnal Abdi Rakyat
Rianto Rianto
Universitas Teknologi Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Public Health Social Sciences Other

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Convolutional Neural Network untuk mengklasifikasi tingkat keparahan jerawat Rianto Rianto; Demas Risdho Listianto
AITI Vol 20 No 2 (2023)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v20i2.167-176

Abstract

Klasifikasi merupakan salah satu metode yang digunakan dalam ilmu medis khususnya untuk deteksi dini ataupun klasifikasi jenis penyakit. Dalam ilmu kesehatan kulit, klasifikasi dapat digunakan untuk memprediksi jenis dan tingkat keparahan jerawat sehingga dapat ditentukan cara pengobatannya. Penelitian ini bertujuan untuk mengembangkan model klasifikasi jenis dan tingkat keparahan jerawat menggunakan Deep Learning dengan Convolutional Neural Network (CNN). Label yang digunakan dalam data latih terdiri dari level 0, 1, dan 2 yang merepresentasikan tingkat keparahan jerawat. Model pengklasifikasi dikembangkan menggunakan data sekunder yang diperoleh dari www.kaggle.com dengan masing-masing label berjumlah 500 citra. Optimizer yang digunakan dalam penelitian ini adalah ADAM dengan membandingkan jumlah epoch mulai dari 50, 80, sampai dengan 100. Hasil akurasi dalam data latih yang diperoleh adalah 0.6363, 0.8783, dan 0.9234.
Decision Support System For Manager Placement In The Plantation Industry Using Topsis Method Teguh Widodo; Nur Wening; Rianto Rianto
Journal Of Social Science (JoSS) Vol 3 No 7 (2024): JOSS : Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v3i7.344

Abstract

Accuracy in placing employees determines the performance of a company. Likewise done by PT XYZ in determining the placement of managers in the plantation industry by using a decision support system. This is done in order to minimize the level of subjectivity of the manager placement determination system at PT XYZ. This research aims to provide alternative preference values to prospective employees who will occupy manager positions in the plantation industry. The method used in the placement of managers with a decision support system is the technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The criteria used in this method are 7 criteria taken based on the criteria for BUMN talent management according to the Regulation of the Minister of BUMN Number PER-3 / MBU / 03/2023, these criteria are Professional Work Period, Variety of Work Experience, Managerial Competence, Technical Competence, Educational Strata, Performance Assessment Results, Level of Punishment that has been received. The results of this study are from the results of the calculation analysis through the TOPSIS method on 7 alternatives, then there is name number 5 managed to get the best score of 0.80 and was determined as a preference to be placed in class A garden.
Determining the Best Laboratory Head Performance: A Data-Driven Approach to Enhanced Decision Making Using the SAW Method Evada Rustina; Nur Wening; Rianto Rianto
Asian Journal of Management, Entrepreneurship and Social Science Vol. 4 No. 02 (2024): May, Asian Journal of Management Entrepreneurship and Social Science ( AJMESC
Publisher : Cita Konsultindo Research Center

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

Abstract

In today's fast-paced world, vocational schools play a pivotal role in shaping the future of the workforce. These schools focus on providing practical training to students, enabling them to acquire skills that are in demand in various industries. As a result, laboratory management is very important and requires attention. This study aims to determine the laboratory head's best performance. The study employs a quantitative approach, utilizing the SAW method and the Decision Support System, in addition to a descriptive analysis that compares the results of the principal's assessment with those of peers. Assessment is done using formulas that are Likert-scaled. The research was conducted at Putra Samodera Shipping Vocational School, Yogyakarta, Indonesia, where there are four laboratories, namely: a nautical laboratory, a commercial ship engineering laboratory, a language laboratory, and a computer laboratory. According to the results, the head of the commercial ship engineering laboratory performed the best. There is no difference between the assessments of the principal and peers, but the best performance according to the criteria is not the same. Other vocational schools can incorporate the implications of this study into their decision support systems and enhance them with various techniques to advance the discussion in future studies.
Implementasi ESPCN untuk Meningkatkan Kualitas Foto dan Akurasi Model Klasifikasi Menggunakan CNN Daegal, Andre; Rianto, Rianto
Jurnal Telematika Vol. 18 No. 1 (2023)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v18i1.559

Abstract

In conducting research, there are often obstacles to supporting media to support the observations and experiments under study. Especially in the case of research involving photos, not a few quality problems that use cameras show results that are not ideal, such as dimness, disturbing-colored dots, or other disturbances. In line with the rapid development of technology today, these problems can be overcome by computer programming through the Opensource Computer Vision Library (OpenCV). OpenCV is a programming module that contains various features, one of which is improving image quality with super-resolution. In practice, photos that have low quality will be enhanced using the efficient subpixel convolutional neural network (ESPCN) model. The deep learning algorithm used is a convolutional neural network (CNN) to support the testing means. CNN works to obtain the percentage accuracy of the photos under study as a representation of the final test results. This test aims to improve the low quality of photos with the ESPCN model to compare the accuracy with the original photos. The test result is the application of ESPCN to low-quality photos. The test result is higher accuracy than the original photo with a difference of 1.2%. The original photo had an accuracy of 90.6%, while the enhanced photo had an accuracy of 91.8%. The final result shows that low-quality photos can be upscaled using ESPCN to produce better accuracy.
Convolutional Neural Network Untuk Perbandingan Optimizer Pada Citra Batang Pohon Zuzzaifa, Nur; Rianto, Rianto
Jurnal Sistem Cerdas Vol. 6 No. 3 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i3.268

Abstract

In the surrounding environment, there are various types of trees with different characteristics. One characteristic of a tree that is difficult to distinguish is its trunk. After researchers made observations, the trunks of Pine and Tabebuya trees had the same characteristics, namely cracking. The problem of incorrectly identifying the characteristics of a tree's trunk can be overcome by classification. Deep Learning with the Convolutional Neural Network (CNN) algorithm is a method commonly used in image classification. The stages in this research include image data retrieval, data preprocessing, CNN architecture formation, model training, and model validation. Image retrieval was carried out directly by researchers, then the 1000 best images were selected. The image dataset is then divided into 75% training data and 25% validation data. Testing was carried out by comparing the Stochastic Gradient Descent (SGD) optimizer and the Adaptive Learning Rate Optimization Method (RMSprop) using epochs 10, 15, 20, 30, 50, and 80. The results showed that the SGD optimizer produced the highest accuracy compared to the RMSProp optimizer. The most optimal result when applying the SGD optimizer is 0.9360 with epochs 80, while for the RMSProp optimizer it is 0.9160 with epochs 20.
PENGGUNAAN WIRESHARK DAN NESSUS UNTUK ANALISIS SSL/TLS PADA KEAMANAN DATA PENGGUNA WEBSITE Syahab, Alfin Syarifuddin; Ujianto, Erik Iman Heri; Rianto, Rianto
Jurnal Informatika Vol 7, No 2 (2023): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v7i2.7566

Abstract

Perkembangan website di Indonesia meningkat signifikan dikarenakan bertambahnya pengguna layanan internet. Di sisi lain website yang memiliki data pengguna memiliki kerentanan. Serangan pada website dapat mengekploitasi sistem. Serangan tersebut dilakukan untuk mengetahui username, password, dan file sensitif. Protokol SSL/TLS merupakan bentuk keamanan pada web untuk komunikasi jaringan aman antara client dan server melalui koneksi terproteksi. Penelitian ini bertujuan untuk menganalisis SSL/TLS pada data pengguna website Badan Meteorologi Klimatologi dan Geofisika (BMKG) daerah X yang memberikan informasi cuaca dan iklim kepada masyarakat. Pengujian dilakukan menggunakan metode penelusuran paket data dengan aplikasi Wireshark dan menggunakan metode pemindaian website berupa vulnerability assessment dengan aplikasi Nessus. Hasil penelusuran paket data menunjukkan web server sudah diverifikasi sertifikat SSL/TLS dan server public key dengan protokol TLS 1.2 sehingga mampu melindungi data pengguna menggunakan enkripsi client dan server menggunakan algoritma hash SHA256. Hasil analisis pemindaian berupa vulnerability assessment menunjukkan level resiko keseluruhan adalah medium. Vulnerability priority rating (VPR) score menemukan tiga informasi kerentanan SSL/TLS yang membutuhkan tindakan evaluasi dan tindak lanjut dalam mengurangi resiko kerentanan website. Hasil penelusuran paket data dan vulnerability assessment pada SSL/TLS dapat membantu mengidentifikasi kelemahan sistem informasi website sehingga dapat menentukan langkah dalam penguatan performa keamanan website untuk melindungi dari serangan siber.
Analisis Burnout Programmer Terhadap Penerapan Secure Coding Saputra, Candra Heru; Ujianto, Erik Iman Heri; Rianto
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241128266

Abstract

Di tengah perkembangan teknologi yang semakin pesat dan fokus terhadap aspek keamanan dalam pengembangan perangkat lunak, penelitian ini bertujuan untuk mengkaji dampak burnout pada programmer terhadap praktik secure coding. Studi ini dirancang untuk menggali korelasi antara tingkat kelelahan emosional programmer dan efektivitas mereka dalam menerapkan teknik secure coding. Penelitian ini mengadopsi pendekatan kuantitatif, dengan mengumpulkan data menggunakan kuesioner yang didistribusikan ke berbagai forum dan komunitas yang terdiri dari praktisi pengembangan perangkat lunak. Melalui teknik analisis statistik yang komprehensif, termasuk penerapan uji-t independen, studi ini berhasil mengidentifikasi adanya pengaruh yang signifikan dari kondisi burnout terhadap persepsi dan implementasi secure coding. Hasil analisis menunjukkan bahwa programmer yang mengalami burnout memiliki kecenderungan untuk menilai secure coding sebagai sesuatu yang kurang penting, yang berimplikasi pada pengurangan kualitas dan konsistensi dalam menerapkan standar pengkodean keamanan yang direkomendasikan.
Determining the Best Work Behaviour of the Laboratory Head Using The Technique For Order Of Preference By Similarity To The Ideal Solution Evada Rustina; Hening Nakuloadi; Teguh Widodo; Nur Wening; Rianto Rianto
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 3 (2024): Juli
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i3.6089

Abstract

Vocational education is in high demand because it prepares students to be job-ready. In learning, it is more about work practices, internships, and in the laboratory than theory in class. Therefore, the existence of laboratories is essential in vocational schools. The research was conducted at the maritime school of SMK Putera Samodra, Yogyakarta, Indonesia, using the quantitative approach of the TOPSIS method to determine the best work behaviour performance from the head of the laboratory. Work behaviour assessment criteria include service orientation, integrity, commitment, discipline, and cooperation. According to the assessment results by the principal and 31 colleagues, the best work behaviour is that of the head of the merchant ship engineering laboratory. Overall, the best work behaviour analysis results can have a positive impact, such as recognition, improved leadership practices, and enhanced performance in all laboratories in vocational schools. Other potential implications of work behaviour research results for schools can be developing leadership with the best strategies, identifying areas for improvement, allocating more resources to laboratories, and the positive effects of leadership qualities on vocational schools.
Pemanfaatan Teknologi Informasi untuk Inovasi Motif, Diversifikasi Produk, dan Perluasan Jaringan Pasar pada Batik Nitik Kembangsore Rianto Rianto; Enny Itje Sela; Nur Wening
I-Com: Indonesian Community Journal Vol 4 No 4 (2024): I-Com: Indonesian Community Journal (Desember 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v4i4.5689

Abstract

Batik Nitik Kembangsore operates in the traditional batik industry, with unique and exclusive motifs. However, the current production is limited to jarit cloth with a relatively high price, resulting in low sales turnover due to the high selling price. This Community Partnership Program proposes a solution to overcome these challenges by diversifying products and creating contemporary batik motifs using artificial intelligence. Leonardo.ai's online tools will be used to design new motifs while maintaining the aesthetic value and philosophy of Batik Nitik Kembangsore. In addition, to strengthen the marketing and sales system, the website www.kembangsore.com will be developed as an integrated digital platform. With this strategy, it is hoped that Batik Nitik Kembangsore can expand its market reach, increase competitiveness, and reach broader consumers. This innovation supports the sustainability of the traditional batik industry and strengthens Batik Nitik Kembangsore's position in the modern market.
Electronic Payment Threats and Security: A Systematic Literature Review Amelia Citra Dewi; Erik Iman Heri Ujianto; Rianto, Rianto
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.76635

Abstract

In the emerging field of electronic payment systems, security challenges have become a major concern. This research addresses a comprehensive understanding of mitigation strategies for these threats. Through systematic literature analysis, we investigated the security vulnerabilities in electronic payment processes and discovered the latest blockchain technology as a strengthened security framework. Our findings reveal that while encryption and authentication provide the foundation of security, the integration of blockchain technology offers an unprecedented level of transaction integrity and transparency. This research not only highlights the urgent need for electronic payment security measures but also highlights the potential of blockchain and machine learning as transformative solutions. The implications of our research indicate an important shift in payment systems towards more secure and resilient electronic systems, paving the way for future research to explore the integration of cutting-edge technologies in combating ever-evolving cyber threats by leveraging blockchain technology, quantum computing and machine learning.
Co-Authors Amelia Citra Dewi Andri Yudha Pratama Arief Hermawan Aziz Perdana Daegal, Andre Demas Risdho Listianto Dewi, Septi Riana Dian Wijayanti Donny Avianto Edi Priyanto Eko Setyo Humanika Endang Setyawati Enggar Novianto Enggar Novianto Enny Itje Sela Enny Itje Sela Erik Herman Heri Ujianto Erik IH Ujianto Erik Iman Heri Ujianto Erik Iman Heri Ujianto Erik Iman HU Evada Rustina Fatih Ahmad Zakaria Hening Nakuloadi Muhammad Rizki Muhammad Rizki Munawaroh, Emi Nadia Pramesti Nur Wening Oktafiani, Rian Paulus Insap Santosa Pramesti, Nadia Putra, Kristianto Pratama Dessan Ratika Tulus Wahyuhana Retno Prihatini Rian Oktafiani Rian Oktafiani Rubangi Rubangi Santika, Yollandaru Yoga Saputra, Candra Heru Setiafindari, Widya Siska Howay Sulistyo Dwi Sancoko Syafrudin, Teguh Syahab, Alfin Syarifuddin Teguh Widodo Teguh Widodo Tri Untoro, Iwan Hartadi Ujianto, EIH Ujianto, Erik IH Zuzzaifa, Nur