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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
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Pendeteksian Kebocoran pada Jaringan Pipa Berbasis Internet of Things (IoT) dengan Notifikasi dan Lokalisasi Sumber Kebocoran Adityo Razzaqqi; Husnul Khair; Milli Alfhi Syari
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.609

Abstract

This study aims to design and develop a pipeline leakage detection system based on the Internet of Things (IoT) that provides real-time notifications and determines the location of leaks with high accuracy. Pipeline leakage is a serious issue, as it can lead to water wastage, environmental damage, and high maintenance costs. Therefore, a system that can detect leaks quickly and accurately is crucial for improving the efficiency of pipeline infrastructure management. The system developed in this study uses an ESP32 microcontroller, Waterflow sensor, and GPS module. The ESP32 microcontroller serves as the central processing unit that processes the data received from the Waterflow sensor and the GPS module. The Waterflow sensor detects changes in water flow that indicate a leak in the pipeline. When an abnormal reduction in flow is detected, the sensor sends a signal to the microcontroller. The GPS module then provides location coordinates, pinpointing the exact location of the leak, allowing the maintenance team to quickly address the issue. Additionally, the system is integrated with the Blynk application, which enables remote monitoring through a mobile device. The Blynk application provides a user interface that facilitates the monitoring of pipeline status and delivers notifications whenever a leak is detected. Testing results show that the IoT-based leakage detection system is capable of identifying leaks and sending real-time information with good accuracy. With this system, the process of identifying and addressing pipeline leaks can be done faster and more efficiently, ultimately reducing the losses caused by leakage. The system also offers a more effective solution for pipeline maintenance, improving the reliability of water distribution systems and reducing water resource wastage.
Penerapan Metode Fuzzy untuk Mengetahui Penyakit Radang Kelopak Mata (Blepharitis) Bayu Juliansyah; Akim Manaor Hara Pardede; Husnul Khair
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.614

Abstract

Blepharitis or inflammation of the eyelids is one of the common eye diseases, characterized by inflammation of the edges of the eyelids that can cause discomfort, irritation, and even visual disturbances. This disease can be chronic with recurrent symptoms such as red eyes, itching, watering, and the appearance of crust on the eyelashes. Proper and prompt diagnosis is necessary so that medical treatment can be carried out effectively and further complications can be prevented. This study aims to design and build an expert system based on the Fuzzy Logic method in helping diagnose blepharitis. The fuzzy method was chosen because it is able to handle the uncertainty of symptom data that often arises in the medical diagnosis process. This system is developed through the identification of the common symptoms of blepharitis, then processed using the fuzzy membership function to determine the type of disease based on the degree of symptom onset. The output of the system is in the form of the results of the diagnosis of blepharitis along with initial treatment recommendations that can be used as a reference for users. The results of the system test show that the application of fuzzy logic is able to provide diagnosis results that are quite accurate, fast, and easy to understand both medical personnel and the general public. This system is expected to help increase public awareness about the importance of early detection of blepharitis, as well as being a tool in the initial medical decision-making process. However, the limitations of this study lie in the limited amount of data and coverage of the type of blepharitis, so further development is needed, both in expanding the knowledge base, increasing the variety of symptoms, and improving system interaction with users.
Rancang Bangun Peminjaman Buku pada Perpustakaan STMIK Kaputama Menggunakan RFID Berbasis IoT Assya Harnita Lubis; Husnul Khair; Muammar Khadapi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 3 (2025): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i3.615

Abstract

The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.
Rancang Bangun Tong Sampah Pintar dengan Penerapan Sampah Metal dan Non Metal Menggunakan IoT pada STMIK Kaputama Dimas Aditya; husnul khair; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i3.618

Abstract

Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal materials, an E18 sensor to detect non-metal materials, and an ultrasonic sensor to monitor bin capacity. The waste separation mechanism is operated by a servo motor controlled by the system, while the Blynk application is integrated for real-time monitoring and full-capacity notifications sent directly to the user’s smartphone. The research stages included hardware design, microcontroller programming, IoT platform integration, and functionality testing to ensure system performance and reliability. The results showed that the smart trash bin operated as expected, successfully identifying and separating metal and non-metal waste automatically, while also sending real-time notifications to the user when the bin approached full capacity. The implementation of this technology has the potential to modernize waste management processes, improve the efficiency of waste sorting, and reduce dependency on manual labor. Furthermore, this research opens opportunities for future development by integrating additional sensors and cloud-based data management systems to support smart city initiatives and sustainable waste management practices.
Penerapan Metode K-Nearest Neighbor untuk Mengetahui Tipe Gangguan Kecemasan Berdasarkan Faktor yang Mempengaruhi Zehy Fadia; Yani Maulita; Husnul Khair
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1137

Abstract

Anxiety disorders are common mental health problems in society, often unrecognized by the sufferer. Identifying the type of anxiety disorder and its influencing factors is crucial for proper treatment. This research aims to apply the K-Nearest Neighbor (K-NN) method in identifying types of anxiety disorders based on influencing factors, focusing on patient data from Sylvani Hospital, Binjai. The K-NN method was chosen because of its ability to classify based on data proximity. This study used medical record data of patients with anxiety disorders, which were processed using MATLAB and Microsoft Excel software. The results show that the K-NN method is effective in identifying types of anxiety disorders, with a high level of accuracy, especially in the identification of Panic Disorder (K05) and Social Anxiety Disorder (K03). The use of MATLAB simplified the identification process by automating results, while data processing in Excel improved classification accuracy. This study concludes that the K-NN method can be an effective alternative in identifying anxiety disorder types based on the factors that influence them. It is recommended for future research to involve more variables and mental health experts for a more comprehensive validation of the results.
PELATIHAN PERENCANAAN BERBASIS DATA PADA PENGAWAS SEKOLAH, KEPALA SEKOLAH DAN GURU MENGGUNAKAN METODE INDENTIFIKASI, REFLEKSI DAN BENAHI (IRB) SECARA DARING Fauzi, Achmad; Rahayu, Rizka Putri; Khair, Husnul; Maulita, Yani
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp170-174

Abstract

Data-based planning training is carried out online based on various sources which can be used to carry out or prepare an agenda for future activities and budgets. The data-based planning training activity was carried out online for two days. This implementation started with the experience of the school principal sharing his experience with the education unit in planning and compiling activities and making budgets at the school, then the facilitator provided reinforcement for data mining from the independent teaching platform (PMM ), Education Report Card Platform as well as through data sourced from the North Sumatra Education Quality Assurance Center (LPMP). Then the facilitator reflects on the training on the material that has been explained. On the second day of implementation, each educational unit grouped to discuss and fill in the evaluation sheet, then carried out identification, reflection and improvement in planning activity plans and preparing budgets for the unit, then apart from that, the educational units held discussions to make follow-up plans starting from the date, unit involved and the media used. Next, reflect on your experience at school, then work on an evaluation worksheet that is synchronized with the Identification worksheet, then a reflection worksheet and a fix worksheet, then the education unit finishes working on an activity plan that comes from several data and can prepare a budget that is planned for the long term.
Sistem Aplikasi Pendukung Keputusan Menggunakan Metode AHP Dalam Menentukan Kinerja Pegawai Kantor Desa Suka Maju Deli Serdang Sitanggang, Rianto; Manurung, Immanuel H. G.; Sibero, Alexander F.K.; Khair, Husnul
JUKI : Jurnal Komputer dan Informatika Vol. 6 No. 1 (2024): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v6i1.436

Abstract

Performance assessment is something that must be done by a company, whether private or public. Performance appraisal can provide rewards or punishment for an employee's performance based on whether the work they do is good or bad. The assessment carried out in this research was implemented by creating a system which was carried out using one method, namely AHP (Analytic Hierarchy Process). The measurement process is carried out by applying the waterfall method. The results of research carried out by applying the AHP decision support system method can provide efficient results and the level of data accuracy is close to perfect.
Sistem Pakar Mendiagnosa Penyakit Pada Gangguan Pernafasan Menggunakan Metode Naïve Bayes Fresti Anjeli; Yani Maulita; Husnul Khair
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.198

Abstract

Respiratory tract disease is a common condition that can affect anyone regardless of age. Starting from relatively mild symptoms to alarming symptoms. Although some respiratory diseases are not life-threatening, they should not be taken lightly as they can cause serious complications. What often happens is that it is difficult for a patient to see a specialist doctor because of the limited number of respiratory specialists who cannot fully serve patients, so people often have difficulty if they want to consult directly. This triggers the habit of the community to treat complaints on their own with simple drugs bought freely at drugstores or pharmacies without knowing for sure the disease they suffer, as well as the length of waiting for queues, consultation fees that are quite expensive and not everyone has a short distance to the hospital prefer not to go to a specialist. Like other organs of the human body, breathing is also prone to various diseases. Respiratory organs will be disrupted and can even cause death. By using the Naïve Bayes method above, it is known that the diagnosis of respiratory disease is that the young female patient is diagnosed with a type of respiratory disease called Farangitis (P05) with a percentage of 47.44%.
JARINGAN SARAF TIRUAN UNTUK MEMPREDIKSI JUMLAH PENGANGGURAN DI KOTA BINJAI DENGAN MENGGUNAKAN METODE BACKPROPAGATION Roynaldi, Muhammad; Simanjuntak, Magdalena; Khair, Husnul
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.580

Abstract

Unemployment is a very complex problem because it affects and is influenced by several factors that interact with each other following a pattern that is not always easy to understand. The strategic problem in Binjai City is not much different from that in the Central Government of North Sumatra, namely the high unemployment rate, given the large number of workforce that appears every year, as well as several factors such as age levels and inflation in Binjai City, making it difficult for many people to find work. or what is called unemployment. The lack of maximum efforts by the government and the private sector in creating employment opportunities is one of the triggers for the increasing number of unemployed in Indonesia, especially coupled with the low level of public education and inadequate human resources, which makes people unable to find work. One of the methods used in predicting a data is Artificial Neural Network using the backpropagation method. With a maximum epoch between 0 - 10000 with a learning rate of 0.2 and a target error ranging from 0.01 to 0.1 to get convergent results. The results of the prediction of the number of unemployed can be predicted by some experiencing an average predicted increase and some experiencing a decrease.
IMPLEMENTASI ALGORITMA KRIPTOGRAFI MODULAR MULTIPLICATION – BASED BLOCK CIPHER (MMB) PADA KEAMANAN DATA Wiranata, Rio; Khair, Husnul; Ramadani, Suci
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.597

Abstract

Dalam kehidupan sehari – hari manusia banyak bergantung pada teknologi informasi. Maka mulai bermunculan berbagai media untuk mengakses informasi dan mengelola informasi sehingga banyak kemudahan-kemudahan yang kemudian didapat untuk mengakses suatu informasi. masalah keamanan informasi menjadi hal yang sangat penting dalam suatu sistem informasi untuk keamanan bersama maupun keamanan pribadi. Untuk itu diperlukan suatu sistem keamanan yang dapat melindungi suatu informasi untuk pengamanan data untuk mengantisipasi ancaman tersebut seperti teknik kriptografi. Kriptografi metode Modular Multiplication Based Block Cipher (MMB) dapat digunakan untuk menjaga keamanan pesan saat pesan dikirim dari suatu tempat ke tempat yang lain. Program aplikasi yang telah dibangun hanya mengenkripsi plaintext dengan format doc, txt, xls, ppt. Penelitian ini menghasilkan suatu program untuk mengamankan pesan rahasia berbentuk file. File yang dienkrip dapat diungkapkan kembali sama persis dengan file aslinya dan tidak mengalami perubahan isi file sedikit pun.
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