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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

Author-ID : 2546418

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

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Coconut Wood Density Image Processing Techniques Based On Texture Image With Comparison Of Sobel Edge Detection Algorithm And Canny Edge Detection Algorithm Aulia Annisa Br Bangun; Achmad Fauzi; Husnul Khair
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Indonesia is the second largest country that has Cocos nucifera coconut trees, coconut wood has a strength that is not inferior to existing forest wood, other building elements and for mabel and building construction materials. Coconut wood also has unique fibers, so it has a high aesthetic value. The quality of coconut wood, namely strength and durability, is determined by many factors, one of which is the pattern of fiber density in coconut wood. How to find out the density of coconut wood digitally by detecting the outer patch of coconut wood using a computer so that it can make it easier and help determine the image of quality coconut wood. To determine the quality of coconut wood by looking at the fiber density by reducing noise before calculating the edge detection so that more edges are produced. By checking the numbers if the value of the number >= 128 then the binary value given is 1, if the value of the number < 128 then the binary value given is 0, then the binary value given for the numbers 12,12,10 is 0,0,0. And By checking the numbers if the value of the number >= 128 then the binary value given is 1, if the value of the number < 128 then the binary value given is 0, then the binary value given for the numbers 12,29,-28 is ,0,0, 0.

KWh Meter Monitoring System for Boarding House Payments using The BLYNK and ESP32 Applications Ryan Hidayat; Rusmin Saragih; Husnul Khair
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

The growth of electrical energy continues to increase from time to time in line with increasing economic activities and community welfare. The increasing growth of electrical energy will deplete existing non-renewable energy sources if their utilization is not effective and efficient. In the utilization of electrical energy it is not known how much energy has been used so that it tends to waste electrical energy. It is necessary to measure the use of electrical energy which aims to manage electrical energy which is very important so that the process of saving and efficiency can be obtained easily. This device is designed to replace the manual electrical energy measurement system because the data obtained cannot be done all the time and the results take too long to come out. This device consists of 4 (four) parts, namely sensors, microcontroller, display and network. The sensor used is the PZEM-004T sensor which is used to measure AC voltage and current, the microcontroller is used NodeMCU which will process the sensor results, the display uses a Liquid Crystal Display (LCD). ) type to display real time output data. The last part is the network as a place for permanent storage and further data processing.

Application Of Data Mining Classification Of Student Ability In Learning Using The K-Means Clustering Algorithm Method (Case Study : Sd Negeri 056029 Karya Utama) Ika Indah Rahayu; Yani Maulita; Husnul Khair
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data sets. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustering. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include UAS Value, . The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy. Keywords: data mining, clustering, k-means, student achievement

The Training of Canva-Based Interesting Learning Content Creation for Students at SMK Putra Anda Binjai Prahmana, I Gusti; Tioria Pasaribu; Husnul Khair; Zira Fatmaira
International Journal of Community Service Implementation Vol. 2 No. 1 (2024): IJCSI JUNE 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijcsi.v1i5.213

Technology is the main need in today's world of education because it is able to produce many applications that can be used as digital learning media. One of them is the Canva application which can be used to design learning displays or teaching materials as visual media in the teaching and learning process. This Community Service (PkM) aims to describe the training activities for creating interesting learning content with the Canva application for students at SMK Putra Anda Binjai which was held on March 15, 2024. The material of the training activities was delivered through presentations and questions and answers located in the Hall of SMK Putra Anda Binjai. This activity was carried out on the basis that most students still do not have insight and knowledge in developing and using applications that can be used in learning, lack of student creativity in designing innovative learning media in designing learning to be more interesting and fun, and students have difficulties in utilizing learning media applications, such as the Canva application, due to lack of information and training on the use of IT-based learning media. The methods used in this service are lectures, discussions, questions and answers, and finally evaluating activities using google forms. The result of this activity is that students have a broader knowledge of learning media, especially on the Canva application so that they are able to create learning content that is interesting, easy to understand, and fun.

Determination of Locations for Planting Poles to Support Fiber Optic Cable Networks with the Moora Method Bahri, Anggi Adhilah; Rahmadani, Rahmadani; Khair, Husnul
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1217

Telecommunication network is a series of telecommunications equipment and accessories used in conducting telecommunications activities. To build an optical network, the most important thing is to plant poles which will be used as network connectors . Pole planting is done based on several factors. In considering some of these factors, of course the company must make the right decision so that the projects carried out are in accordance with the company's targets. Making decisions manually will result in inaccurate and precise results. To reduce inaccuracies in making a decision, we need a system that can help and support companies in making a decision. The MOORA method works by giving weight to each specific criterion. From the weighting evaluation, the results with the highest ranking will be taken to determine decision making. From the results of the trials carried out, the best alternative system and analysis results were obtained from 20 data, namely jl.tuamang with community demand criteria of 47 people, population density of 372 people, moderate location access and distance between pillars of 45 meters with a result of 0.1499.

Expert System for Diagnosing Cancer Using Bayes Theorem Method Sembiring, Indri Aurellia Apsari; Buaton, Relita; Khair, Husnul
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1231

Cancer is a dangerous disease that is not contagious and is caused by abnormal cells or tissues that can grow rapidly. The rapid development of this network will cause several complications of this disease which develop rapidly as well. Adam Malik General Hospital is one of the government hospitals that has complete facilities to treat cancer patients. Because it is a regionally centralized general hospital, each patient has quite a long queue when conducting consultations and treatment, this can result in physical fatigue in patients because it takes too long in the queue. To overcome these problems, we need a system that can provide information and detect early cancer diagnoses. So that the doctor can use the results of the diagnosis issued by the system so that it can be analyzed further. This of course can speed up the time the patient is in the examination, so that the treatment process can run effectively and efficiently. An expert system is a system that can store information from an expert, such as a doctor, for example. One of the methods that can be used is the Bayes Theorem method, which is a theory of probable conditions that calculates the probability of an event that depends on evidence. From the results of the trials that have been carried out, the results show that the patient suffers from cancer, namely breast cancer with a value of 81.60%.

Security of Employee Salary Data Using the ElGamal Algorithm By Utilizing the Diffie-Hellman Algorithm Key Generator Indakholasy, Barru; Hara Pardede, Akim Manaor; Khair, Husnul
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1221

Data security is something that is very important for companies or organizations, one of which is the South Binjai District Office. Almost all work in the South Binjai sub-district office uses a computer, especially in processing data stored in the form of data files on storage media without encoding. In today's digital era, many irresponsible parties find it easy to tap company data so that it can be easily accessed and there is also some software that can be easily used to crack passwords. One of the data that needs to be kept confidential is employee salary data. To overcome these problems, a security system is needed to secure text data. The cryptographic method is regarding encryption techniques in which plaintext is scrambled using an encryption key to become ciphertext which is applied in data security systems. The Diffie-Hellman algorithm is a key exchange algorithm, this algorithm is limited to the key exchange process, so it must require another algorithm for the encryption and decryption process such as the ElGamal algorithm. The use of these two algorithms can strengthen the level of data security. From the results of trials conducted, the sample data used containing the word "KARYAWAN" was successfully secured with both diffie-helman and ElGamal algorithms.

SISTEM PAKAR MENDIAGNOSA PENYAKIT DIABETES DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR Khair, Husnul
JURNAL TEKNOLOGI KESEHATAN DAN ILMU SOSIAL (TEKESNOS) Vol. 1 No. 1 (2019): JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL (TEKESNOS)
Publisher : Universitas Sari Mutiara Indonesia

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

Penyakit diabetes merupakan suatu kondisi kronis yang menurunkan kemampuan tubuh untuk mengubah makanan menjadi energi. Diabetes memiliki beberapa jenis type yaitu diabetes mellitus type I, diabetes mellitus type II, dan diabetes mellitus gestasional. Ketiga jenis diabetes ini memiliki gejala yang hampir serupa, hal ini menyebabkan masyarakat awam ataupun penderita sulit membedakan diabetes jenis apa yang sedang dialami sehingga sering kali terjadi kelalaian dan menyebabkan penyakit yang semakin parah. Oleh karena itu diperlukan sebuah sistem pakar yang dapat mendiagnosa penyakit diabetes.Dengan menggunakan metode certainty factor, dibuatlah sebuah sistem pakar yang dapat mendiagnosa penyakit diabetes dengan mempertimbangkan gejala-gejala yang dirasakan oleh pengguna. Adapun gejala-gejala tersebut diantarnya adalah : Banyak kencing dimalam hari, sering haus atau lapar, berat badan turun, luka sulit sembuh, impotensi dan sebagainya.Sistem pakar ini dapat membantu mediagnosa penyakit diabetes dan dapat memberikan solusi atas hasil diagnosanya, sehingga penyakit dapat ditangani sedini mungkin agar tidak menimbulkan penyakit yang semakin parah di kemudian hari.

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

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

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.

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

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