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All Journal Jurnal Computech & Bisnis (e-Journal) ELINVO (Electronics, Informatics, and Vocational Education) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Teknologi Informatika dan Komputer
Herman
Universitas Ahmad Dahlan
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Prototype Pengembangan Aplikasi Login menggunakan Teknologi Blockchain Imam Riadi; Herman Herman; Aulyah Zakilah Ifani
Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i1.2411

Abstract

The internet is developing so fast, from the kinds of internet technolgy to something that is needed by every user. Information needs and an extensive network system give the easier to access. One of them is wireless, wireless is very helpful for internet users. However, the problem often arises in wireless securing network. Many attacks that make the username and password of the users get hacked. Based on these problems, this study focuses on securing when users login user a device. One of the innovative technologies that be able to solve these problems is Blockchain Technology. By using blockchain technology adversaries will find the difficulty to change and modify the same data on all computers at the same time because it will take the time so long to crack the encryption code on each block of sata on the entire computer network. This study used literature study as a data collection technique. Browsing method using the internet or other network media. This result of this research is the system prototype has been successfully built. The prototype for the development of this login system application has succeed in securing data such as of username and password using blockchain technology. User data is secured and converted into encryption block.
Perbandingan Forensic Tools pada Instagram Menggunakan Metode NIST Irhash Ainur Rafiq; Imam Riadi; Herman
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 7 No. 2 (2022): Mei 2022
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1167.871 KB) | DOI: 10.14421/jiska.2022.7.2.134-142

Abstract

The development of communication media continues to increase with the emergence of various communication applications on smartphones, which are currently very developed from limited communication media to social media. This change in the flow of communication applications gives a new color to communication, not just exchanging messages and sounds but also exchanging videos and pictures. This development was also followed by the rise of digital crimes in the form of defamation, fraud, and hoax news by spreading posts and then deleting them after the news spread widely. This research was conducted to obtain digital evidence with the help of special applications such as Belkasoft Evidence and Axiom Magnets using the NIST method. The results of this study show that the Magnet Axiom is better with an accuracy rate of 83.3% while Belkasoft Evidence is only 50%.
Optimasi Keamanan Web Server terhadap Serangan Broken Authentication Menggunakan Teknologi Blockchain Imam Riadi; Herman; Aulyah Zakilah Ifani
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 3 (2021): September 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.492 KB) | DOI: 10.14421/jiska.2021.6.3.139-148

Abstract

The aspect of the internet that needs to be considered a security is the login system. The login system usually uses a username and password as an authentication method because it is easy to implement. However, data in the form of usernames and passwords are very vulnerable to theft, so it is necessary to increase the security of the login system. The purpose of this research is to investigate the security of the system. Whether the system is good at protecting user data or not, minimizing execution errors from the system and minimizing risk errors on the system so that the login system can be used safely. This research is conducted to test the system security with Burp Suite on the login system that has been built. Testing the security of this system by experimenting with POST data which is secured using blockchain technology makes the data sent in the form of hash blocks safer and more confidential so that the system is safer than before. Blockchain technology has successfully secured usernames and passwords from broken authentication attacks. By using the Burp Suite testing system, login is more specific in conducting security testing.
K Nearest Neighbor Imputation Performance on Missing Value Data Graduate User Satisfaction Abdul Fadlil; Herman; Dikky Praseptian M
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.44 KB) | DOI: 10.29207/resti.v6i4.4173

Abstract

A missing value is a common problem of most data processing in scientific research, which results in a lack of accuracy of research results. Several methods have been applied as a missing value solution, such as deleting all data that have a missing value, or replacing missing values with statistical estimates using one calculated value such as, mean, median, min, max, and most frequent methods. Maximum likelihood and expectancy maximization, and machine learning methods such as K Nearest Neighbor (KNN). This research uses KNN Imputation to predict the missing value. The data used is data from a questionnaire survey of graduate user satisfaction levels with seven assessment criteria, namely ethics, expertise in the field of science (main competence), foreign language skills, foreign language skills, use of information technology, communication skills, cooperation, and self-development. The results of testing imputation predictions using KNNI on user satisfaction level data for STMIK PPKIA Tarakanita Rahmawati graduates from 2018 to 2021. Where using the five k closest neighbors, namely 1, 5, 10, 15, and 20, the error value of the k nearest neighbors is 5 in RMSE is 0, 316 while the error value using MAPE is 3,33 %, both values are smaller than the value of k other nearest neighbors. K nearest neighbor 5 is the best imputation prediction result, both calculated by RMSE and MAPE, even in MAPE the error value is below 10%, which means it is very good.
Pelatihan Tools Microsoft Word dan PowerPoint untuk Mempermudah Penulisan Tugas Akhir Mahasiswa Manajemen Informatika Politama Surakarta Rusydi Umar; Herman Herman; Izzan Julda D.E Purwadi Putra; Aldi Rifki Andriawan
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 4, No 4 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v4i4.6561

Abstract

Penelitian ini bertujuan untuk memaksimalkan serta mempermudah mahasiswa dalam menggunakan tools Microsoft Word dan PowerPoint sebagai media penulisan tugas akhir. Pelatihan ini diikuti 23 mahasiswa tingkat akhir pada program studi Manajemen Informatika Politeknik Pratama Mulia Surakarta (Politama) yang beralamat di Jl. Haryo Panular No.18A, Panularan, Kec. Laweyan, Kota Surakarta, Jawa Tengah. Pelatihan ini dilakukan secara kombinasi yaitu dalam jaringan (DARING) dan luar jaringan (LURING) dengan tetap memperhatikan protokol kesehatan karena sedang dalam masa pandemic Covid-19. Pelatihan ini dilaksanakan pada Sabtu, 30 oktober 2021 yang bertempat di laboratorium Manajemen Perusahaan Politama Surakarta. Pertemuan sesi pertama memberikan materi tentang tools Microsoft Word yang disampaikan oleh saudara Izzan Julda dan sesi kedua materi PowerPoint disampaikan oleh saudara Aldi Rifki, dilanjutkan dengan tanya jawab mahasiswa terkait materi yang disampaikan. Hasil pre-test dan post-test menunjukkan bahwa nilai presentase meningkat setelah dilakukan pelatihan Microsoft Word dan PowerPoint. Hasil ini mengindikasikan adanya peningkatan dalam pengetahuan dan soft skill tentang tools Microsoft Word dan PowerPoint.This study aims to maximize and facilitate students in using Microsoft Word and PowerPoint tools as media for writing their final project. This training was attended by 23 last year students in the Informatics Management study program at the Pratama Mulia Surakarta Politeknik (Politama), whose address is Jl. Haryo Panular No. 18A, Panularan, Kec. Laweyan, Surakarta City, Central Java. This training is carried out online and offline, while still paying attention to health protocols due to the Covid-19 pandemic. This training was held on Saturday, 30 October 2021, at the Surakarta Politama Company Management laboratory. The first meeting session provided material on Microsoft Word tools delivered by Izzan Julda and the second session presented PowerPoint material by Aldi Rifki, followed by questions and answers from students regarding the material presented. The pre-test and post-test results showed that the percentage score increased after the Microsoft Word and PowerPoint training. These results indicate increased knowledge and soft skills in Microsoft Word and PowerPoint tools.
Analisis Keamanan Website Menggunakan Information System Security Asessment Framework(ISSAF) Herman Herman; Imam Riadi; Yudi Kurniawan; Irhas Ainur Rafiq
Jurnal Teknologi Informatika dan Komputer Vol 9, No 1 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i1.1439

Abstract

Di zaman ini internet sudah menjadi kebutuhan ini, begitu banyak hal yang dapat dilakukan dengan Internet. Mulai dari mendapatkan informasi, belajar, berbelanja, dan yang lainnya Melalui website, website adalah web yang berada di dalam web server. Tetapi banyak pengguna atau pemilik website kurang mengetahui tentang pentingnya keamanan dari sebuah website. Misalnya yang berkatian dengan kerentanan terhadap malware maupun terhadap SQL Injection. Kerentanan bisa disebabkan oleh berbagai macam, salah satu yang penting adalah di bagian coding website tersebut, sehingga menyebabkan backdoor yang dapat di eksploitasi oleh penyerang. Analisis kerentanan keamanan sebuah website sangat diperlukan. Pada paper ini penulis memaparkan sebuah proses analisis kerentatan website menggunakan metode ISSAF Information Systems Security Assessment Framework. Dalam melakukan assessment digunakan beberapa tools untuk mencari hingga menganalisis kerentanan sebuah website seperti WhoIsDomain, Subgraph Vega, dan Nmap Sehingga pengguna atau pemilik website mengetahui bagaimana kerentanan terhadap website tersebut. Hasil analisis ini menyimpulkan bahwa website yang di uji masih memiliki beberapa kerentanan seperti XSS, SQL Injection, CSRF Token not set, dan yang lainnya. Hasil akurasi  yang  di dapatkan menggunakan subgraph vega adalah sebesar 100% untuk kerentanan  Cross  Site Scrpting, dan 77% untuk SQL Injection.
Implementasi Model 3D Jantung Manusia pada Aplikasi Markerless Augmented Reality Aldibangun Pidekso Putro; Herman; Muhammad Kunta Biddinika; Suwanti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3657

Abstract

Augmented Reality (AR) has become an innovative technology in the healthcare sector. In the medical context, AR offers significant potential, such as supporting medical training, enhancing anatomical visualization, and improving understanding of patient conditions. Cardiac anatomy training and education in the medical world still rely heavily on conventional methods including 2D diagrams, physical models, or desktop-based computer simulations, which are less interactive, inflexible, and less realistic. This research aims to develop a markerless AR application for the visualization of 3D models of the human heart to improve understanding of the heart structure in the context of heart disease treatment. The process starts with the design of a 3D model using Blender, which is then imported into Unity to be integrated with the AR Foundation, allowing the placement of the model in the real world without markers. This AR application was tested on an Android Smartphone device. The test results showed successful visualization of the heart model accurately over the human chest (physical reality). This application makes a significant contribution in medical education by offering an interactive and realistic solution. This research opens up opportunities for the application of AR in health education and medical training. Further development could include interactive features simulating the circulatory system as a whole.
Anthropometry: Palm Size Clustering Using the K-Means Method and Silhouette Coefficient Cucut Hariz Pratomo; Anton Yudhana; Herman
JURNAL COMPUTECH & BISNIS Vol. 20 No. 1 (2026): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v20i1.05

Abstract

This study uses a palm image dataset to be used as training data and test data and the software used is the Python Programming Language and the OpenCV library which is quite light in processing on Google Collaboratory. The image data used is a palm image dataset from Kaggle which is open access to the public, the image data is then subjected to feature extraction using the Canny Edge Detection method with Euclidean distance calculations to see the edges of the object lines in the training image to clearly obtain the hand object that will be classified to see anthropometrically whether the palm is small, medium, and large. Grouping of 3 classes of palm size uses the K-Means method combined with the Silhouette Score to evaluate the results obtained. From a successful experiment, the Silhouette results show a score of 0.61, which means good.
A Text-Based Analysis of SDGs Goal 4 Representation in Informatics and Computer Science Syllabi Indah Rahma Ilmiana; Muhammad Kunta Biddinika; Herman
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 2 (2025): November 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i2.89955

Abstract

Higher education curricula play an important role in supporting the achievement of Sustainable Development Goals (SDGs), particularly SDGs Goal 4: Quality Education, through the development of relevant and sustainable learning. The purpose of this study is to look at the connections between the SDGs Goal 4 targets and the computer science and informatics curricula at universities on the island of Java. 552 course syllabi from current APTIKOM member universities are examined in this study using a text-based document analysis design. The analysis focuses on three frequently accessible syllabus components: course name, course description, and learning outcomes. The Term Frequency-Inverse Document Frequency (TF-IDF) approach was used to represent the textual data after it had been pre-processed and mapped using SDGs keywords to create initial labels. Support Vector Machine (SVM) was used as the comparison model and K-Nearest Neighbors (KNN) as the baseline model for the classification procedure. The results showed a strong relationship between most curricula and Target 4.4, which stresses the development of technical and digital skills. In terms of performance, the KNN model achieved an accuracy of 83%, while the SVM model showed a higher accuracy of 86% with more consistent performance on high-dimensional data and imbalanced class distributions. In conclusion, the syllabus analysis methodology based on keyword mapping and machine learning can be used as a systematic exploratory framework for identifying the relationship between higher education curriculum and SDGs.
PREDIKSI TINGKAT KEPARAHAN KLAIM KOMPENSASI K3 MENGGUNAKAN MULTIPLE LINEAR REGRESSION DENGAN KOREKSI HETEROSKEDASTISITAS: PREDICTION OF SEVERITY LEVEL OF OCCUPATIONAL SAFETY AND HEALTH (OSH) COMPENSATION CLAIMS USING MULTIPLE LINEAR REGRESSION WITH HETEROSCEDASTICITY CORRECTION Aqid Fahri Hafin; Herman; Abdul Fadlil
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7836

Abstract

The identification of determinants influencing the severity of occupational injuries (serious claims) is crucial for formulating precise and evidence-based Occupational Health and Safety (OHS) intervention strategies. This study aims to identify and quantify the most significant ergonomic risk factors and workplace hazard exposures affecting claim severity using 200 job-type observations from the O*NET-ANZSCO dataset published by Safe Work Australia. The analytical method employed is Multiple Linear Regression (MLR) with a staged validation approach. Since the initial regression model using the original data violated the assumptions of normality (Shapiro-Wilk < 0.001) and heteroskedasticity (Breusch-Pagan = 0.025), this study applies a Log-Linear model transformation and Robust Standard Errors (HC3) estimator to produce estimates that meet the Best Linear Unbiased Estimator (BLUE) criteria. The results indicate that the final model (Log-Lin HC3) is statistically significant simultaneously (Prob(F-statistic) = 0.0003) with an Adjusted R-squared of 0.801, meaning that 80.1% of the variation in claim severity can be explained by the model. Partially, four key risk factors are identified as significant: Exposed to Disease or Infections (p = 0.001), Spend Time Making Repetitive Motions (p = 0.006), Spend Time Bending or Twisting the Body (p = 0.008), and Exposed to Radiation (p = 0.035). These findings indicate that mitigating injury severity should prioritize these specific hazard exposures and ergonomic risk factors.
Co-Authors Abdul Fadlil Aldi Rifki Andriawan Aldibangun Pidekso Putro Anton Yudhana Anton Yudhana Aqid Fahri Hafin Aulyah Zakilah Ifani Basit Adhi Prabowo Cucut Hariz Pratomo Dikky Praseptian M Gusti Chandra Kurniawan Imam Riadi Indah Rahma Ilmiana Irhas Ainur Rafiq Irhash Ainur Rafiq Izzan Julda D.E Purwadi Putra Muhammad Kunta Biddinika NORITA SINAGA Rusydi Umar Suwanti Tugiman Tugiman Yudi Kurniawan