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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 Indonesian Journal of Education and Mathematical Science 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) LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran 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 Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Internasional Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Blend Sains Jurnal Teknik Wahana Tarbiyah bil Qalam : Jurnal Pendidikan Agama dan Sains 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 Jurnal Sains, Teknologi dan Komputer 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 Tsabit Jurnal Informatika Dan Tekonologi Komputer
Al Khowarizmi
Universitas Muhammadiyah Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Deep neural networks approach with transfer learning to detect fake accounts social media on Twitter Arif Ridho Lubis; Santi Prayudani; Muhammad Luthfi Hamzah; Yuyun Yusnida Lase; Muharman Lubis; Al-Khowarizmi Al-Khowarizmi; Gabriel Ardi Hutagalung
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 1: January 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i1.pp269-277

Abstract

The massive use of social media makes people take actions that have a negative impact on cyberspace, such as creating fake accounts that aim to commit crimes such as spam and fraud to spread false information. Fake accounts are difficult to detect in the traditional way because fake accounts always use photos, names, and unreal information, there are several criteria that can identify a fake account such as no information, few followers, and minimal activity. In the traditional model, it is difficult to detect fake accounts on many Twitters social media accounts, so the application of the deep learning model with the convolutional neural network (CNN) algorithm and the application of deep learning can help detect fake accounts. This study will use data on Twitter social media so that this research produces good accuracy for the scenarios described at the methodology stage. This research produces an accuracy of 86% for the deep learning model with the CNN algorithm, and with the traditional model, it produces an accuracy of 51% while the use of transfer learning produces an accuracy of 93.9%.
Implementation And Design of Security System On Motorcycle Vehicles Using Raspberry Pi3-Based GPS Tracker And Facedetection Sari, Indah Purnama; Al-Khowarizmi, Al-Khowarizmi; MD, Pipit Putri Hariani; Perdana, Adidtya; Manurung, Asrar Aspia
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12935

Abstract

One of the nations where land transportation is frequently employed is Indonesia, particularly on motorbikes or two-wheeled vehicles. Since there is not much economic growth to maintain the high level of sales, there are many people without jobs, which leads to criminality, particularly motorcycle theft. The rate of motorbike theft in society is currently rising. The researchers developed a security system using a GPS Tracker whose control was handled by a two-channel relay in response to the rise in motorbike theft. The webcam camera produces the greatest images when it is hidden by a tree. 100% of the time, Relay Components work to control the horn and electricity. Due to the short read-time of the location the first time, GPS has a high accuracy. The Raspberry Pi3 can send, receive, and process commands to the motorcycle security system. The motion sensors, vibration sensors, raspberry pi microcontrollers, relays, and servo motors make up the system architecture in general. This method operates when the motor produces a lot of vibration. The sensor will relay the vibration to the Raspberry Pi microcontroller's output and the microcontroller will then deliver a warning notification message. In the event of a theft, the motorcycle will be immediately within the owner's control. In addition, with security using facedetection, the public can detect the perpetrators of theft and it takes quite a long time to work on it. The security system on motorbikes using facedetection takes a long time to produce, but it can't be done optimally. The purpose of this creation is to improve the security system on motorcycles to make it more efficient and effective in identifying the perpetrators of theft. This system consists of a Raspberry Pi3 as the control center, a picamera as a face detector, and a buzzer as an alarm.
Implementasi Aplikasi Mobile Learning Sistem Manajemen Soal dan Ujian Berbasis Web Pada Platform Android Sari, Indah Purnama; Al-Khowarizmi, Al-Khowarizmi; Batubara, Ismail Hanif
IHSAN : JURNAL PENGABDIAN MASYARAKAT Vol 3, No 2 (2021): Ihsan: Jurnal Pengabdian Masyarakat (Oktober)
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ihsan.v3i2.7556

Abstract

Massa pandemic covid 19 ini sebagian besar institusi pendidikan melaksanakan proses belajar dan mengajar secara online, termasuk dalam melaksanakan ujian. Ujian merupakan tahap evaluasi dari pemahaman siswa terhadap materi yang diberikan. Dari permasalahan tersebut memunculkan gagasan untuk membuat suatu sistem manajemen bank soal dan ujian berbasis website. Hal ini bertujuan untuk mempermudah guru dalam memberikan ujian dan proses pemberian nilai ujian yang efektif dan efisien. Sistem manajemen bank soal dan ujian berbasis website dibuat dengan menggunakan Sublime Text sebagai software pengolah data. Dalam penelitian ini proses sistem manajemen soal dan ujian yang sudah dilakukan oleh pihak sekolah secara online menggunakan aplikasi CBT. Tetapi banyak siswa yang tidak memiliki fasilitas laptop/komputer sehingga menjadi kendala oleh pihak sekolah. Sehingga penulis membuat sistem manajemen soal dan ujian berbasis web menggunakan platform android. Karena sekarang ini setiap siswa sudah mempunyai android sehingga dapat memudahkan siswa dalam mengikuti proses ujian. Hasil dari penelitian ini, dapat disimpulkan bahwa dengan adanya sistem manajemen bank soal dan ujian berbasis website, diharapkan dapat membantu kinerja guru dalam mengelola soal dan ujian.
Implementasi E-Monitoring Aktivitas Siswa Pada SMKN 5 dan SMKS 2 Medan Putri Berbasis Web Ramadhani, Fanny; Al-Khowarizmi, Al-Khowarizmi; Hutagalung, Fatma Sari
IHSAN : JURNAL PENGABDIAN MASYARAKAT Vol 3, No 2 (2021): Ihsan: Jurnal Pengabdian Masyarakat (Oktober)
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ihsan.v3i2.7571

Abstract

SMK Negeri 5 Medan is one of the vocational high schools in the city of Medan. One of the visions and missions of this school is to increase discipline in complying with existing regulations. One of the things that must be disciplined is attendance, timely collection of assignments and payment of tuition fees that must be on time. But in reality there are still some students who do not attend school because the student withdraws so that parents feel worried about the condition of their children at school, whether they actually go to school or not and parents also cannot know the progress of how many grades their children have earned in general directly because of busy work, there are even students who cannot maintain the mandate to pay tuition fees that have been deposited by their parents. Therefore, a system is needed to monitor student activities at school. Monitoring activities are the main activities in the world of education. However, these activities cannot be carried out optimally. Parents still find it difficult to monitor their children's learning activities at school. Notification of student achievement (grades) is only made at the time of receipt of the final report. Therefore we need a system that facilitates the process of monitoring and assessing students, both for teachers and parents to overcome these problems. The purpose of this research is to develop a student monitoring system (E-Monitoring). The method used to develop this system is data collection, hardware and software analysis, system design and analysis as well as system implementation and testing. The result of this study is a system that can assist teachers in managing grades, recap student errors, and facilitate parents to monitor and obtain information about their children's learning activities clearly and in real time.
Financial technology forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior Al-Khowarizmi, Al-Khowarizmi; Watts, Michael J.; Efendi, Syahril; Abdulbasah Kamil, Anton
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2386-2394

Abstract

Financial technology (FinTech) which is included in the development of digitalization in the financial sector in the industrial era 4.0. FinTech can make any transactions anywhere with the pillars of peer-to-peer (P2P) lending, merchants, and crowdfunding. In the P2P lending pillar, there are borrowers and lenders who are digitized in FinTech devices. FinTech in Indonesia is controlled by a state agency called the financial services authority or otoritas jasa keuangan (OJK). In the movement of P2P lending, there are borrowers and lenders who can be said to be investors where these activities are reported to the OJK. This data can be forecasted using a neural network approach such as evolving connectionist system (ECoS), which is a method capable of forecasting with learning that develops in the hidden layer. In this research article, we present results on forecasting borrowers with a mean absolute percentage error (MAPE) of 0.148% and forecasting lenders with an accuracy measurement with MAPE of 0.209% with a learning rate 1=0.6 and a learning rate 2=0.3. So, this forecasting model can be said as an optimization in FinTech activities on the behavior of borrowers and lenders.
Measurement by applying internet financial reporting on the level of information presentation in the competitive FinTech peer-to-peer lending industry Al-Khowarizmi, Al-Khowarizmi; Efendi, Syahril; Nasution, Mahyuddin Khairuddin Matyuso; Mawengkang, Herman
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp66-73

Abstract

Technological advances in the financial sector can certainly support the business decision-making process. Moreover, digital financial technology such as FinTech is a competitive industry that has both peer-to-peer (P2P) and merchant pillars. The industry must update its business activities through its information media. One of them is internet-based financial reporting or better known as internet financial reporting (IFR). IFR itself is a delivery of financial information that is carried out in real time and can be easily seen by the wider community by using the website as a medium. This study aims to determine whether the application of IFR to FinTech P2P Lending companies in Indonesia has been widely implemented or not. Later the variables used in this study are content, appearance, and timing with a total of 20 indicator variable items to be tested. The results of this paper show that 30 P2P lending FinTech Industries in Indonesia have been able to implement IFR with an average score of 80%. IFR scores obtained by each industry have almost the same value ranging from 65% to 95% with the highest total score of 95% and the lowest score of 65%.
System Design for Ordering and Digitizing Website-Based Bus Tickets Sari, Indah Purnama; Al-Khowarizmi, Al-Khowarizmi; Sulaiman, Oris Krianto; Apdilah, Dicky; Fachrizal, Ferry
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.18861

Abstract

In the business world, generally users and company owners need something innovative to help support performance and make it easier to use or search for product data. The presence of this website-based internet will make it easier for all groups to be able to access all forms of information, including utilizing this media to be able to connect relationships between customers and the company's products, one of which is ordering bus tickets. Based on the various conveniences and uses that the internet has, a "Use of Information Systems in Ordering and Digitizing Website-Based Bus Tickets" was developed. This system was created with PHP, MySQL and Bootstrap software. This information system is designed to provide convenience in terms of ticket ordering services and obtaining other information needed by custome.
Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode Lubis, Arif Ridho; Harefa, Hafid Rahman; Al-Khowarizmi, Al-Khowarizmi; Julham, Julham; Lubis, Muharman; Rahmat, Romi Fadillah
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.7007

Abstract

Blood is a fluid in the body that mainly serves as a medium for transporting various substances in the body. Detection of human blood group types with this microcontroller utilizes dark and light properties. The dark character appears due to agglomeration, while the light nature arises because of no agglomeration, for this to happen, a liquid reagent is needed. Administration of this liquid uses the aviator's breathing oxygen (ABO) system, which consists of reagent a, reagent b, and reagent c and mixing it with blood on the test paper. The number of blood samples in each reagent is based on blood lancet. Furthermore, the sensors used to detect these properties are photodiode and light emitting diode (LED) each of 3 pieces. The Arduino Uno is used to process sensor input while at the same time producing displayed human blood group type on the display screen. The test is carried out involving 12 blood samples and a medical officer. Medical officer are tasked reading directly the results of mixing between reagents and blood samples, after that are compared with the system. The results show that the deviation of the system reading is 0.167 for the sensor reading distance with the sample as far as 0.5 cm.
Analisis Metode Trend Moment Sebagai Peramalan (Forecast) Penjualan UMKM Dimsum Tessya Fakhta Tri Nasution; Arif Ridho Lubis; Alkhowarizmi
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 1 (2023): Januari 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v2i1.39

Abstract

Sales is a business activity that is based on a strategy or plan that is useful to increase sales of the products produced. One of the strategies developed is to predict the number of products for Micro, Small and Medium Enterprises (MSMEs). The problem that often occurs in MSMEs is the supply of the number of products that have excess stock as experienced by MSMEs Dimsum Khanzaku. This resulted in many expired products and caused considerable losses. Therefore we need a calculation in predicting the amount of inventory so that there is no excess stock that can cause losses. As for one method of data mining in forecasting or predicting is Trend Moment. In this case, the Trend Moment Method is used to forecast sales of dimsum products in the coming month using previous sales data, to find out how many products should be supplied and sold for the following month. Sales data was taken from May 2019 to April 2021. The results obtained were sales that occurred in June 2021 for a 31 Kg company, thus presenting an inaccurate prediction of only 25%. The average yield on sales from May 2021 to February 2022 is 25%.
CLUSTERING HIV/AIDS DISEASE USING K-MEANS CLUSTERING ALGORITHM Sari, Indah Purnama; Hariani MD, Pipit Putri; Al-Khowarizmi, Al-Khowarizmi; Ramadhani, Fanny; Sulaiman, Oris Krianto; Satria, Andy; Manurung, Asrar Aspia
Proceeding International Seminar of Islamic Studies INSIS 6 (February 2024)
Publisher : Proceeding International Seminar of Islamic Studies

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

Abstract

The HIV (Human Immunodeficiency Virus) is an infection-causing virus that targets the immune system, making it more vulnerable to illness and infection. East Java (33,043), Papua (25,586), West Java (24,650), and Central Java (18,038 persons) all had more HIV/AIDS infections in 2017 than DKI Jakarta (46,378), which was followed by East Java (33,043), West Java (24,650), and a smaller number—25,586—in Papua. Nationally, West Java is still among the four provinces with the highest HIV/AIDS cases. This shows that HIV/AIDS has become a threat to the wider community because in addition to threatening the lives of sufferers, this disease is at risk of transmission that will increase. The increase in HIV/AIDS cases can be a problem in the psychology of the sufferer, because this disease can have a negative impact in the form of physical, psychological, social and spiritual problems that cause PLWHA (People with HIV AIDS) to live a stressful life. In this study, calculations were carried out using the K-Means algorithm with the Optimize Parameters Grid on data on the spread of HIV / AIDS cases in 2019-2021 sourced from the West Java Provincial Health Office. K-Means is one of the algorithms in data mining that can be used for grouping / clustering of data. The data used in this study were 971 records. The purpose of this study was conducted to determine the cluster of t h e spread of HIV/ AIDS as an effort to assist the government in reducing the number of HIV / AIDS cases in West Java province. The results o f this study are comparing DBI with the K-Means method from k-2 to k-20 contained in the table above, it can be seen that the cluster that is close to 0 is k-2, with a DBI value of 0.414. Because the value of k-2 is the smallest value compared to other k, it can be concluded that k-2 with a value of 0.414 which is closest to 0 is the best cluster result.
Co-Authors Abdul Razak Nasution Abdulbasah Kamil, Anton Ade Haikal Adidtya Perdana, Adidtya Adila Mawaddah Meuraxa Ajulio Padly Sembiring Akbar Idaman Al Hamidy Albara Amrullah Amrullah Amrullah Andy Satria Anggi Irana Bela Angkat, Fhatiya Alzahra Aulia Jannah Azis, Zainal Baehaqi Bela, Bela Budi Kurniawan Hutasuhut Chindy Yovita Sukma Dalimunthe, Yulia Agustina Diana, Has Dicky Apdilah Edy Rahman Syahputra Efendi, Syahril Elveny, Marischa Fadhilah, Ulfa Faizi, Setyo Fahmi Noor Faradillah, Yanty Farid Akbar Siregar Fatma Sari Hutagalung FAUZI . Fauzi Fauzi Faza, Sharfina Ferry Fachrizal - Firahmi Rizky Frainskoy Rio Naibaho Gabriel Ardi Hutagalung Ginting, Nurman Habibi Ramdani Safitri Halim Maulana Hapzi Ali Harefa, Hafid Rahman Hariani, Pipit Putri Hasanuddin Hasanuddin Hasdiana Herman Mawengkang Hutagalung , Fatma Sari Hutagalung, Fatma Sari Ichsan, Aulia Ilham Ramadhan Nasution Indah Purnama Sari Indah Purnama Sari Indah Purnama Sari Irvan Irvan Irvan, Irvan Ismail Hanif Batubara Julham Julham Julham Julham Kamil, Idham Lubis, Arif Ridho Lubis, Mhd Muchlisin M. Iqbal Tanjung M.Pd, Akrim M.Rafi Mahyuddin K. M Nasution Mandra Saragih Manurung, Asrar Aspia Marah Doly Nasution Ma’ajid, Farhan Riqi MD, Pipit Putri Hariani Mhd Faris Pratama Mhd. Basri Mhd. Basri Michael J Watts Miftah Fariz Prima Putra Muhammad Basri MUHAMMAD FURQONI Muhammad Luthfi Hamzah Muhammad Said Harahap Muharman Lubis Muhathir, Muhathir Muhathir, Muhathir Mulkan Azhari 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 Prastyono, Reza Prayudani, Santi Putri, Berlianda Oktariani Jelita Putri, Wan Hafizah Ainun Syah Qadri, Habib Al Rahmad B.Y Syah Rahmad Syah Rahmad Syah, Rahmad 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 Solly Aryza, Solly Suherman Suherman Tessya Fakhta Tri Nasution Triantono, Gatot Tua Halomoan Harahap, Tua Halomoan Umi Salamah Vicky Rolanda Wasesa, Istikha Ruchitra Hayudirga Watts, Michael J. Yoshida Sary Yuyun Yusnida Lase Zhafirah, Zhahrah