Article Per Year (5 Year)
p-Index From 2021 - 2026
10.066
P-Index
This Author published in this journals
All Journal Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Abdi Ilmu JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer JUKI : Jurnal Komputer dan Informatika JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Jurnal Pengabdian Pada Masyarakat METHABDI International Journal of Health, Engineering and Technology Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Jurnal ABDIMAS MUTIARA International Journal of Community Service Implementation Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Fusion : Journal of Research in Engineering, Technology and Applied Sciences Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Ulil Albab Pascal: Journal of Computer Science and Informatics JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL Router : Jurnal Teknik Informatika dan Terapan
Khair, Husnul
STMIK KAPUTAMA
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 81 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 81 Documents
Search

 5   6   7   8   9 
KEY SECURITY INTEGRATION IN THE AES ALGORITHM USING THE LUC ALGORITHM ON IMAGE FILES Bustami, Harya; Fauzi, Achmad; Khair, Husnul
Journal of Engineering, Technology and Computing (JETCom) Vol. 4 No. 3 (2025): Journal of Engineering, Technology and Computing (JETCom)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v4i3.315

Abstract

The rapid growth of information technology requires a reliable data security system, especially for sensitive image files. The Advanced Encryption Standard (AES) is a symmetric algorithm that is fast and efficient; however, its main weakness lies in the vulnerability of key distribution. To address this issue, this research integrates the Lucas (LUC) algorithm to secure AES keys. LUC was chosen as it is an asymmetric algorithm utilizing public and private key pairs, ensuring the confidentiality of AES encryption keys. The purpose of this study is to design and implement an image file security system by integrating AES and LUC using Python programming language with key storage in text format. The encryption process was applied to JPG and PNG files with a maximum size of 3 MB, and the encrypted as well as decrypted results were tested through several experiments. The results indicate that the system successfully encrypted and decrypted image files while maintaining AES key confidentiality through LUC protection. The integration of these two algorithms enhances data security and can serve as a reference for the development of secure digital file systems in the future.
Pelatihan Pembuatan Eco Enzym bagi Mahasiswa Baru STMIK Kaputama TA. 2024-2025 Sebagai Bentuk Kepedulian Kampus pada Pelestarian Lingkungan Arliana, Lina; Maulita, Yani; Fauzi, Ahmad; Novriyenni, Novriyenni; Sihombing, Anton; Ambarita, Indah; Simanjuntak, Magdalena; Syahputra, Siswan; Khair, Husnul; Pramana, I Gusti; Annatasia, Kristina; Puspadini, Ratih; Selfira, Selfira; Sitompul, Melda Pita Uli; Khadafi, Muammar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

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

Abstract

The growing volume of household organic waste poses a serious challenge to environmental sustainability. Through this community service program, STMIK Kaputama offers an educational and practical solution by involving first-year students in Eco Enzyme production training. Eco Enzyme, a fermented product derived from organic kitchen waste, has been proven to provide various benefits such as an eco-friendly cleaner, liquid fertilizer, and natural deodorizer, serving as an effective alternative to harmful chemical-based products. During the student orientation program (PKKMB), 300 students participated in a series of activities, including environmental education, fermentation practice, and harvesting of Eco Enzyme. The results demonstrated improvements in students’ knowledge and skills, with the expectation of long-term behavioral changes in managing waste at its source. The program successfully produced more than 300 liters of Eco Enzyme and significantly reduced organic waste disposal to landfills. More importantly, it cultivated environmentally conscious student leaders. Engaging first-year students in this real-world initiative serves as a strategic effort to instill sustainability values and foster a culture of environmental responsibility both within the campus and the broader community.
Design Of Automatic Hand Sanitizer Spray System Based On Arduino Uno Using Fuzzy Logic Method Firhan Ali; Husnul Khair; Imeldawaty Gultom
International Journal of Health Engineering and Technology Vol. 3 No. 4 (2024): IJHET NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1045.192 KB) | DOI: 10.55227/ijhet.v1i2.32

Abstract

Washing hands is the act of cleaning like fingers to wrists using water or other liquids. Hand sanitizer with a minimum alcohol content of 60% is believed to be effective for killing germs and other harmful microorganisms because hands are one part of the body that often interacts such as touching and can be a medium for the spread of viruses, germs and bacteria. The manufacture of tools is carried out as one of the efforts in advancing technology to provide convenience and comfort through the development of an automatic system for hand sanitizer containers. From the above problems an Arduino based automatic hand sanitizer system was created. This system works directly to be able to spray liquid automatically. This system is expected to make it easier for users to spray liquids without having to do it manually or touching the container directly to maximize time efficiency and keep it clean. By designing a prototype to make this automatic hand sanitizer using an ultrasonic sensor as input, Arduino Uno Atmega328p as a microcontroller, and a servo motor as a driver for the hand sanitizer container. The system on the tool to be made is capable of spraying liquid automatically at a maximum distance of 10 centimeters.
Hybrid Sistem Algoritma Rivest Shamir Adleman (RSA) dan Algoritma Blum Blum Shub (BBS) dalam Mengamankan File Database E-Absensi Tania Br Surbakti; Achmad Fauzi; Husnul Khair
Indonesian Journal of Education And Computer Science Vol. 1 No. 3 (2023): INDOTECH - December 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.59

Abstract

The E-Attendance System has become an efficient solution in monitoring individual attendance at various institutions. However, new challenges arise regarding data security and privacy in managing E-Attendance database files. Facing potential risks such as hacking and data leaks, data security becomes very important. Therefore, in this study, we propose the implementation of a hybrid system that combines the strengths of the Rivest Shamir Adleman (RSA) Algorithm and the Blum Blum Shub (BBS) Algorithm to improve the security of the E-Absence database file. RSA is a cryptographic algorithm that is widely used for encryption and digital signatures. On the other hand, BBS is a random number generation algorithm that has a strong level of security. The combination of the two in the form of a hybrid system is expected to provide a higher level of security in securing E-Absence data. The aim of this research is to develop a hybrid RSA and BBS system in the context of securing E-Attendance database files. This research outlines the basic concepts of the two algorithms and how they can be integrated. The results of this study are the combination of the Rivers, Shamir, Adleman (RSA) algorithm and the Blum Blum Shub (BBS) algorithm in a hybrid system to increase security in the process of encoding messages
Pendampingan Pembuatan Nomor Induk Berusaha (NIB) Bagi Pelaku UMKM Wilayah Binjai & Langkat Sebagai Upaya Peningkatan Legalitas Usaha Lina Arliana Nur Kadim; Husnul Khair; Kristina Annatasia; Indah Ambarita; Magdalena Simanjuntak; Melda Pita Uli Sitompul; Ratih Puspadini; Ameliana Sihotang; Zira Fatmahira; Suci Ramadani; Suria Alamsyah Putra
Jurnal Pengabdian Masyarakat Disiplin Ilmu Vol. 4 No. 2 (2026): Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v4i2.8082

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in strengthening the national economy, particularly in job creation and local economic resilience. However, many MSME actors still face administrative constraints, especially in obtaining a Business Identification Number (NIB), which is a mandatory legal requirement for formal business operations through the Online Single Submission (OSS) system. Limited digital literacy and lack of understanding regarding licensing procedures often become the main obstacles. This community service activity aims to provide assistance and guidance to MSME actors in the process of registering and obtaining their Business Identification Number (NIB) through the OSS system. The implementation method consisted of socialization sessions, technical training, direct mentoring, and evaluation. Participants were guided step-by-step in preparing required documents, creating OSS accounts, and completing the NIB registration process. The activity also involved active participation from students as facilitators under academic supervision. The results showed an increase in participants’ understanding of business legality and successful issuance of NIB for assisted MSMEs. Participants demonstrated improved confidence in operating legally and accessing broader business opportunities. The implementation of this mentoring program contributes to strengthening MSME legal compliance, improving digital administrative capabilities, and supporting government programs in accelerating formalization of small businesses. Keywords: UMKM, NIB, OSS, Business Legality
SISTEM INFORMASI TOP UP GAME (STUDI KASUS LOGAM GAMES STORE) Manurung, Immanuel H G; Donets, Felix; Sibero, Alexander F.K. Sibero; Khair, Husnul
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 10 No. 2 (2026): Artificial Intelligence (AI)
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v10i2.1389

Abstract

This study aims to design and develop a web-based information system for game top-up services at Logam Games Store, providing users with a fast and efficient way to purchase digital items. The system was developed using the Waterfall method through the stages of requirement analysis, system design, implementation, and testing. Technologies used include PHP, MySQL, HTML, and payment integration via Midtrans Snap API (Sandbox). The system’s main features include user registration and login, game selection, input of game account data, top-up amount selection, payment processing, and transaction history display. The top-up mechanism is semi-automated, with the admin manually delivering the purchased items via a third-party platform, namely Itemku. The system was tested using Black Box Testing, and results showed that all functions performed as expected based on user needs. This system is expected to offer a practical solution for small-scale game top-up services and has the potential for further development toward full automation.
Pengelompokkan Pendonor Darah Berdasarkan Golongan Darah Di PMI Kabupaten Langkat Menggunakan Metode Clustering K-Means Arista Widya Ningsih; Novriyenni Novriyenni; Husnul Khair
Fusion : Journal of Research in Engineering, Technology and Applied Sciences Vol. 2 No. 1 (2025): Fusion - April
Publisher : PT. Faaslib Serambi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66341/fusion.v2i1.261

Abstract

Penelitian ini bertujuan untuk mengelompokkan data pendonor darah berdasarkan golongan darah, tempat domisili, dan usia menggunakan metode Clustering K-Means. Palang Merah Indonesia (PMI) Kabupaten Langkat menghadapi tantangan dalam pengelolaan data pendonor yang masih bersifat konvensional, sehingga diperlukan pendekatan berbasis data mining untuk meningkatkan efisiensi dan akurasi pengelompokan data. Data sebanyak 2000 pendonor diolah menggunakan algoritma K-Means melalui perangkat lunak MATLAB R2014b dengan konfigurasi 3, 4, dan 5 cluster. Hasil pengujian menunjukkan bahwa konfigurasi 5 cluster memiliki nilai rata-rata variance terendah sebesar 2,2048, yang menandakan bahwa pengelompokan lebih kompak dan stabil dibandingkan konfigurasi lainnya. Mayoritas pendonor darah berasal dari golongan darah A, domisili Kecamatan Stabat, dan berusia 25–44 tahun (dewasa). Pengelompokan ini diharapkan dapat membantu PMI Kabupaten Langkat dalam menyusun strategi pelayanan donor darah secara lebih tepat sasaran dan efisien.
ANALISIS KARAKTERISTIK AKADEMIK MAHASISWA MENGGUNAKAN K-MEANS CLUSTERING BERDASARKAN TREN NILAI DAN HAMBATAN UJIAN Husnul Khair; Tengku Didi Ferdillah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6900

Abstract

Abstract: This study categorizes students from the 2021 cohort based on academic performance dynamics to overcome the limitations of traditional, static GPA-based evaluations. This approach integrates grade growth trend (slope), remedial exam frequency, and thesis topic classification within the CRISP-DM framework. Utilizing the K-Means algorithm, students are segmented into three distinct clusters: High Achiever, At-Risk, and Critical Failure. The empirical results reveal that the group experiencing the sharpest performance decline (slope -0.720) exhibits the highest remedial exam frequency, averaging 3.69 times, and has not yet proposed a research topic. Conversely, students with positive grade trends display mature research readiness, predominantly focusing on Data Mining. These findings confirm a strong correlation between academic schedule interruptions and delayed graduation risks. The resulting taxonomy successfully maps holistic student risk profiles, serving as an effective early warning system for department policymakers to implement personalized and targeted interventions.   Keyword: K-Means; CRISP-DM; academic; text mining.   Abstrak: Penelitian ini mengelompokkan mahasiswa angkatan 2021 berdasarkan dinamika performa akademik guna mengatasi keterbatasan evaluasi tradisional berbasis IPK statis. Pendekatan ini mengintegrasikan variabel tren pertumbuhan nilai (slope), frekuensi ujian susulan, dan klasifikasi topik skripsi dalam kerangka kerja CRISP-DM. Menggunakan algoritma K-Means, mahasiswa dikelompokkan ke dalam tiga klaster: High Achiever, At-Risk, dan Critical Failure. Hasil analisis menunjukkan bahwa kelompok mahasiswa yang mengalami penurunan performa paling tajam (slope -0,720) memiliki rata-rata ujian susulan tertinggi, mencapai 3,69 kali, serta belum mengajukan topik tugas akhir. Sebaliknya, mahasiswa dengan tren nilai positif menunjukkan kesiapan riset yang matang, didominasi oleh topik Data Mining. Temuan ini membuktikan adanya korelasi kuat antara interupsi jadwal akademik dengan risiko keterlambatan kelulusan. Model taksonomi yang dihasilkan sukses memetakan profil risiko mahasiswa secara holistik, sekaligus berfungsi sebagai sistem deteksi dini bagi pengambil kebijakan program studi untuk melakukan intervensi yang lebih personal dan tepat sasaran.   Kata kunci: K-Means; CRISP-DM; akademik; text mining.
Superencryption of BASE 64 Algorithm and ELGAMAL Algorithm on Android Based Image Security Usman Gumanti; A M H Pardede; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i3.211

Abstract

In the current era of globalization, the development of information technology is growing rapidly, there is a possibility that there will be data leaks when the process of exchanging information is carried out, then security becomes a very important aspect which will cause unwanted things, for example manipulation of images in the form of information systems. If this important information falls into the hands of the wrong person, it can be negative and can be detrimental to the image owner. So a security system is designed that functions to protect the data that is sent while maintaining its authenticity and authenticity. Various ways have been developed for data security, one of which is by using cryptography. Cryptography is the science of securing data by using data transformation so that the resulting data cannot be understood by other parties. This transformation can provide a solution to two data security problems, namely the problem of privacy and data authentication. Cryptographic techniques can be used to ensure data security, one of which can be utilized is encryption and description of data or in other words encoding data so that only the person concerned can understand the contents of the data. The proper use of information technology is very important to send private and confidential images to certain parties. These images are still in the form of PNG and JPG extensions, for this reason a security system is needed that can protect images that are transmitted through a communication network, one way that can be done to secure images is using the BASE 64 algorithm and the ELGAMAL algorithm.
Diagnosis of Herpes Zoster Using Bayes Theorem Method Kellyn Frisca Prastiwi; Novriyenni; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.259

Abstract

Expert Systems is one branch of Artificial Intelligence (AI) that makes widespread use of knowledge or knowledge specifically for solving expert human-level problems. Kartini Clinic has several health workers such as nurses, midwives to doctors who are ready to serve people who suffer from various diseases, one of which is Herpers Zoster disease. Shingles is an acute inflammation of the skin usually characterized by the appearance of red bubbles like small blisters that cluster on the surface of the skin and watery and accompanied by itching and heat. This disease will appear more if there is irritation, wounds or abrasions and a long healing process. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities.
Co-Authors ., Novriyenni Abdullah Husein ACHMAD FAUZI Achmad Fauzi Adityo Razzaqqi Ambarita, Indah Ameliana Sihotang Annatasia, Kristina Arista Widya Ningsih Arliana, Lina Assya Harnita Lubis Aulia Annisa Br Bangun Bahri, Anggi Adhilah Bayu Juliansyah Br. Ginting, Rosa Lina Buaton, Relita Bustami, Harya Dea, Dea Puspita Deli Alvinda Dimas Aditya Donets, Felix Eriska Sitepu Esti Sundari Fatmaira, Zira Fauzi Ahmad Muda Fauzi, Achmad Fiqih Dalfin S Meliala Firhan Ali Fresti Anjeli Gultom, Imeldawati Gultom, Imeldawaty Hafizh, Faisal Herdianta Herdianta I G Prahmana Ihsan, Ihsan Muchlis Ika Indah Rahayu Indakholasy, Barru John Darwis Martuadi Saragih Kadim, Lina Arliana Nur Kellyn Frisca Prastiwi Khadapi, Muammar Kristina Annatasia Lili Musarofah Lili Musarofah Livia Dirma Pr Magdalena Simanjuntak Manik , Yolanda Arta Sabrina Manurung, Immanuel H G Manurung, Immanuel H. G. Melda Pita Uli Sitompul Muammar Khadafi Muhammad Ali Imran Muhammad Fadillah Azmi Muhammad Roynaldi Nabil Fuadi Nasril Hidayat Nisrina Naufalia Santoso Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurul Elsa Fadilah Nurul Syahrani Pardede, Akim Manaor Hara Pasaribu, Tioria Paul Saut Marganda L Tobing Pitaloka, Nadila Prahmana, I Gusti Pramana, I Gusti Rahayu, Rizka Putri Rahmadani Rahmadani Raja Imanda Hakim Nasution Ramadani, Suci Ramos Parulian Ambarita Rani Nuraini Rani Nuraini Rani Rianda Br Ginting Ratih Puspadini Ratih Puspadini Rindi Asti Ananda Riska Kurniawati Risna Serviya Rizka Khairani Lubis Roynaldi, Muhammad Rusmin Saragih, Rusmin Ryan Hidayat Saragih, John Darwis Martuadi Selfira, Selfira SELVY SELVY ANGGRAINI Sembiring, Indri Aurellia Apsari Serviya, Risna Setia Ningsih Sibero, Alexander F.K. Sibero, Alexander F.K. Sibero Sihombing, Anton Simanjuntak, Magdalena Simanjuntak, Magdalena Sinambela, Rifdahtul Ghinaa Siswahyudianto Siswan Syahputra Sitanggang, Rianto Sitepu, Cindy Yohana SRI DEVI BANGUN suria Alamsyah Putra Susilawati Susilawati Syahputra, Siswan Syari, Milli Alfhi Tami Dayatmi Tania Br Surbakti Tengku Didi Ferdillah Usman Gumanti Windi Tamara Windi Wiranata, Rio Yani Maulita Yuda Washita Zehy Fadia Zira Fatmahira