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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Martabe : Jurnal Pengabdian Kepada Masyarakat The IJICS (International Journal of Informatics and Computer Science) Informatika Journal of Applied Engineering and Technological Science (JAETS) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Indonesian Journal of Electrical Engineering and Computer Science INFOKUM Computer Science and Information Technologies Ihsan: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) International Journal Of Science, Technology & Management (IJSTM) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Sains Teknologi dan Sistem Informasi Proceeding International Seminar of Islamic Studies Jurnal Minfo Polgan (JMP) Prosiding Snastikom sudo Jurnal Teknik Informatika Internasional Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Blend Sains Jurnal Teknik Wahana TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi International Journal of Economic, Technology and Social Sciences (Injects) Jurnal Pengabdian Barelang Jurnal Ilmu Komputer dan Sistem Informasi Hanif Journal of Information Systems Electronic Integrated Computer Algorithm Journal Economic: Journal Economic and Business Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Pengabdiaan Masyarakat Larisma Al'Adzkiya International of Computer Science and Information Technology Journal AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Al Khowarizmi
Universitas Muhammadiyah Sumatera Utara
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Comparison of Simple Additive Weighting (SAW) and Promethee Methods in Rice Quality Selection Fatma Sari Hutagalung; Budi Kurniawan Hutasuhut; Al-Khowarizmi Al-Khowarizmi
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 1, No 1 (2020)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (850.051 KB) | DOI: 10.30596/jcositte.v1i1.4358

Abstract

Rice is one of the foods that contain enough nutrients and boosters for the human body, because it contains ingredients that are easily converted into energy. In Indonesia there are more than 1000 types of rice varieties, and every year new varieties appear. Farmers find it difficult to determine which type of rice they will plant. Farmers must try each type of different varieties each season, to find out which quality rice. For this reason, a decision support system is needed to select qualified rice. In the decision support system two methods of comparison are used, namely the Simple Additive Weighting (SAW) method and PROMETHEE. The Simple Additive Weighting (SAW) method will be compared to the PROMETHEE method. In a decision support system, the data used will be changed first into the form of weights that have been determined based on parameters. The types of rice used are paddy and hybrid rice. Both methods will be compared based on the length of time of execution and the success rate of selecting rice quality. The end result of the system for rice using both methods is the angke for lowland rice and the 6 ceva hipa for hybrid rice. with an execution time of 570,0008 milliseconds for the SAW method, and PROMETHEE method with an execution time of 12488.2 milliseconds in lowland rice, and 1140,006 milliseconds for the duration of SAW execution, 16400,029 for the duration of PROMETHEE for hybrid rice. The SAW method is faster than the promethee method.
Smart Sensor in Water Flow Monitoring Model using Microcontroller and Raspberry PI Al-Khowarizmi Al-Khowarizmi; Frainskoy Rio Naibaho
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2904

Abstract

Water is the source of human, animal and plant life which can be said to be living things. However, the need for clean water in the world is increasing along with the growth in the number of living things in the world. The scarcity of clean water is often found due to the wasteful use of water by humans and dirty water due to waste generated by humans. Thus the technology in hardware and software midwives plays a very important role in overcoming water savings for the survival of living things in order to survive. We don't know the use of water that we usually use in a day directly. If we look at the water meter in our house we don't have a display of the cost of water usage and how much water we use in a day. Rapidly developing technology is able to overcome this problem by building a system for calculating the water flow rate and the application to display the cost of using water using a water flow sensor and making a display application that is a user interface so that it will make it easier for humans to run this system and make a smart system model using a method that is used as a user interface. old like the microcontroller and the technology that was developing raspberry pi.
Decision Making in the Tea Leaves Diseases Detection Using Mamdani Fuzzy Inference Method Arif Ridho Lubis; Santi Prayudani; Muharman Lubis; Al Khowarizmi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1273-1281

Abstract

The tea plants (Camellia Sinensis) are small tree species that use leaves and leaf buds to produce tea harvested through a monoculture system. It is an agriculture practice to cultivate one types of crop or livestock, variety or breed on a farm annually. Moreover, the emergence of pests, pathogens and diseases cause serious damages to tea plants significantly to its productivity and quality to optimum worst. All parts of the tea plant such as leaves, stems, roots, flowers and fruits are exposed to these harm lead to loss of yield 7 until 10% per year. The intensity of these attacks vary greatly on particular climate, the degree slope and the plant material used. Therefore, this study analyzes tea leaves as a common part used in recipes to create unique taste and flavor in tea production, especially in agro-industry. The decision making method used is Fuzzy Mamdani Inference as one of model with functional hierarchy with initial input based on established criteria. Fuzzy logic will provide tolerance to the set of value, so that small changes will not result in significant category differences, only affect the membership level on the variable value. Previous method using probabilities have shown 78% tea leaves have been attacked by category C (Gray Blight) while using Mamdani indicated 86% of tea leaves have been infected. In this case, this result pointed out that Fuzzy Mamdani Inferences have more optimal result compare to the previous method.
Astrocytoma, ependymoma, and oligodendroglioma classification with deep convolutional neural network Romi Fadillah Rahmat; Mhd Faris Pratama; Sarah Purnamawati; Sharfina Faza; Arif Ridho Lubis; Al-Khowarizmi Al-Khowarizmi; Muharman Lubis
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Glioma as one of the most common types of brain tumor in the world has three different classes based on its cell types. They are astrocytoma, ependymoma, oligodendroglioma, each has different characteristics depending on the location and malignance level. Radiological examination by medical personnel is still carried out manually using magnetic resonance imaging (MRI) medical imaging. Brain structure, size, and various forms of tumors increase the level of difficulty in classifying gliomas. It is advisable to apply a method that can conduct gliomas classification through medical images. The proposed methods were proposed for this study using deep convolutional neural network (DCNN) for classification with k-means segmentation and contrast enhancement. The results show the effectiveness of the proposed methods with an accuracy of 95.5%.
Optimizing the Fuzzy Membership Function in SAW to Detect Types of Psychopaths Al-Khowarizmi Al-Khowarizmi; Ajulio Padly Sembiring; Vicky Rolanda
International Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Vol. 1 No. 1 (2021): InJODACSIT
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.632 KB)

Abstract

The use of a decision support system (DSS) can assist in making decisions quickly and precisely according to targets. Many problems that occur can be solved by using SPK, one of which is to determine psychological disorders, in this case to determine the type of psychopath where there are many psychopathic sufferers and difficult to detect. The algorithm that can be used in a decision support system is to use the Optimized Simple Additive Weighting (SAW) Algorithm with the Fuzzy membership function. In this paper, a case analysis is analyzed, namely determining psychological disorders by asking several questions so that the results of this study are a conclusion about psychological disorders, especially psychopaths, including: primary psychopath, secondary psychopath, distempered psychopath and charismatic psychopath which are obtained from the highest score of each. decision making process.
Implementation Of Linear Congruent Method in Online Exam Applications For SMK Students Amrullah Amrullah; Al-Khowarizmi Al-Khowarizmi
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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

Abstract

The Pangeran Antasari Vocational High School (SMK Pangeran Antasari) Final Examination (UAS) is an activity that determines the success of a student in 2 semesters of educational activities. UAS performs better when each student's questions are displayed randomly, and the difficulty can be increased to make each student's answer different. There are 101 questions per subject in the question bank, but the system displays 40 questions for each student. The Linear Congruential Method (LCM) method randomly displays question data in the app and provides each student with a different type of question pack. Each student's UAS scores are stored in a database for subject teachers and students' academic performance. The test results for the actual student application are assigned a different set of questions for each computer the student uses. Randomization of questions for each computer used by students using the LCM method gives each student a level of difficulty, resulting in a random question package of up to 40 questions with a difficulty level of 82.5%. Because certain question numbers have the same questions, but it can be recommended to help the school in the process of UAS activities.
Aplikasi Mobile Leskincare Pada Klinik Kecantikan dr. Lisni Elysah Niken Aprilina; Hasdiana; Alkhowarizmi
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

The development of increasingly sophisticated beauty industry facilities and various beauty trends affectconsumers so that more and more people, especially women, go to beauty clinics to overcome their facial skinproblems. Beauty clinics have used technology and information to maintain a very tight business competitiotoday.To solve the above problem. Beauty clinic dr.Lisni Elysah needs an information system that can facilitatethe work of employees in the service system at the clinic. With increasing users of android smartphones, the authorchose to implement this system on the android platform. This system is made with several features that can bused, including registration, a list of consultation or maintenance schedules and also online product purchases.Making this system using android studio software, programming languages java and PHP and database usinMySQL. This research method uses the RAD (Rapid Application Development) method approach. The results othis study are to improve services and management from manual to computerized for clinics and as a servicefacility and information media for the community that has many features that can be used. The results of this studare based on the black box testing method that can be used as a well-designed application as expected.
Optimization of Faster R-CNN to Detect SNI Masks at Mandatory Mask Doors Marah Doly Nasution; Al-Khowarizmi Al-Khowarizmi; Halim Maulana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8128

Abstract

In preparing for the COVID-19 endemic period, every government and private agency will be required to comply with new rules by the government, where everyone is required to wear a mask and perform physical distancing when leaving the house for activities. This is one of the new habits that will be familiarized to the public by the government in 2022 and the following year. Due to the easy transmission of the Covid-19 virus, the selection of SNI masks is highly recommended. The purpose of this study was to classify the types of SNI and non-SNI masks so that the presence of this SNI mask cluster monitoring system could increase security in locations that require the mandatory use of masks such as in schools and the masks used can function effectively to prevent the spread and transmission of Covid -19.. From the dataset, 100 pictures were taken randomly on SNI and non-SNI mask users. Where the types of masks that are SNI have been studied on Duckbil masks, KN-45, Surgical Mask 2 ply, and Surgical 3 ply are included in SNI masks and cloth masks are not included in SNI masks at a distance of 0.5 meters, 1 meter, 1.5 meters and 2 meters from the mobile device. It can be seen on the SNI mask at a distance of 0.5 meters achieving 100% accuracy, a distance of 1 meter achieving 100% accuracy, at a distance of 1.5 meters achieving an accuracy of 95% and at a distance of 2 meters achieving 90% accuracy. Whereas non-SNI masks at a distance of 0.5 meters achieve 100% accuracy, a distance of 1 meter achieves 100% accuracy, at a distance of 1.5 meters achieves an accuracy of 95% and at a distance of 2 meters achieves an accuracy of 90%.
Analysis the Effect of Digitalization and Technology on Web-Based Entrepreneurship Budi Kurniawan Hutasuhut; Indah Purnama Sari; Al-Khowarizmi Al-Khowarizmi
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 4, No 1 (2023)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v4i1.13891

Abstract

The development of technology is currently growing rapidly. Entrepreneurship and many technological advances are possible. The impact of technology on entrepreneurship has enormous advantages. By utilizing the internet network, technology has developed into a medium for business transactions, both products and services. Realize that the role of internet media can be used in the buying and selling process to increase sales turnover, as a way to market products to a wider market, and as a way to reduce operational costs such as store rental costs. This research on the impact of online website media on the buying and selling process is the main goal. in an effort to boost business at small retailers.
Implementation of the Selection Sort Algorithm to Sort Data in PHP Programming Language Indah Purnama Sari; Al-Khowarizmi Al-Khowarizmi; Fanny Ramadhani; Oris Krianto Sulaiman
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 4, No 1 (2023)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v4i1.14362

Abstract

The role of algorithms in software or programming is very important, so it is necessary to understand the basic concept of the algorithm. The sorting algorithm is, selection sort (sorting by selecting) is the process of sorting data according to certain rules so that they are ordered regularly. Sorting data consisting of some criteria have priority where the data is sorted by language PHP programming that provides the sort function to sort array datain ascending or descending order from smallest to largest. The sort function is sort data from smallest to largest digit or last letter of letters first each word prioritizes letters then numbers if the data is in that table data consists of a mixture of numbers and letters. The method used is searching the smallest element of the array and swaps it with the element in the first position, then this algorithm repeats the same thing again, namely looking for elements in second position, The process that will result from this system continues until all array elements successfully sorted.
Co-Authors Abdulbasah Kamil, Anton Ade Haikal Adidtya Perdana, Adidtya Adila Mawaddah Meuraxa Aisar Novita Ajulio Padly Sembiring Akbar Idaman Al Hamidy Albara Albara, Albara Amrullah Amrullah Amrullah Andy Satria Angkat, Fhatiya Alzahra Aulia Jannah Bela Bela Budi Kurniawan Hutasuhut Chindy Yovita Sukma Dalimunthe, Yulia Agustina Diana, Has Dicky Apdilah Edy Rahman Syahputra Efendi, Syahril Elveny, Marischa Fadhilah, Ulfa Faradillah, Yanty Farid Akbar Siregar Fatma Sari Hutagalung FAUZI . Fauzi Fauzi Faza, Sharfina Ferry Fachrizal - Firahmi Rizky Frainskoy Rio Naibaho Gabriel Ardi Hutagalung Habibi Ramdani Safitri Halim Maulana Hapzi Ali Harefa, Hafid Rahman Hariani, Pipit Putri Hasanuddin Hasanuddin Hasdiana Herman Mawengkang Hutagalung , Fatma Sari Hutagalung, Fatma Sari Idham Kamil Ilham Ramadhan Nasution Indah Purnama Sari Indah Purnama Sari Indah Purnama Sari Irvan, Irvan Ismail Hanif Batubara Julham Julham Julham Julham Lubis, Arif Ridho Lubis, Mhd Muchlisin M. Iqbal Tanjung M.Pd, Akrim Mahyuddin K. M Nasution Mandra Saragih Manurung, Asrar Aspia Marah Doly Nasution MD, Pipit Putri Hariani Mhd Faris Pratama Mhd. Basri Mhd. Basri Michael J Watts Muhammad Basri Muhammad Luthfi Hamzah Muharman Lubis Muhathir Muhathir Muhathir, Muhathir Mulkan Azhari Mulkan Azhari Mutiara Akbar Nasution Nadeak, Nurhalimah Nasution, Tia Alfi Sahara Niken Aprilina Oris Krianto Sulaiman Permatasari, Dhyta Pipit Putri Hariani MD Pradesyah, Riyan Pradesyah, Riyan Prayudani, Santi Putri, Berlianda Oktariani Jelita Putri, Wan Hafizah Ainun Syah Qadri, Habib Al Rahmad B.Y Syah Rahmad Syah Rahmat Mushlihuddin Ramadhani, Fanny Romi Fadillah Rahmat Salma, Riza Sarah Purnamawati Sari Hutagalung, Fatma Septiana Dewi Andriana, Septiana Dewi Sibarani, Theofil Tri Saputra Simanungkalit, Ahmad Hazazi Siregar, Ananda Afifah Siregar, Muhammad Rizky Pratama Suherman Suherman Tessya Fakhta Tri Nasution Vicky Rolanda Wasesa, Istikha Ruchitra Hayudirga Watts, Michael J. Yoshida Sary Yuyun Yusnida Lase Zhafirah, Zhahrah