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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 ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA 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 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 Komprehenshif 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
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Sistem Informasi Meningkatkan Kemampuan Program Diet Berbasis Webservice Nadeak, Nurhalimah; Diana, Has; Khowarizmi, AL
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 4 No. 1 (2022): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v4i1.536

Abstract

Overweight or obesity is a health condition of a person who has excess body fat. Individuals who are overweight or obese are more susceptible to health problems such as heart disease, stroke, diabetes, certain types of cancer and gallbladder disease. In this case, the author wants to develop an application for the ability of a web service-based diet program to find out information on the right diet in the form of ideal body weight, body mass index, physical activity and food recommendations. Calculation of calories per day from food consumed and excess The diet system is designed using historical data and graph history so that it is easy to see the progress of the diet from beginning to end. So there is no need to go to a nutritionist, while the user is easy to access anywhere and anytime by the user. In addition, this system is supported by programming languages, namely PHP and HTML Database Mysql, as well as system development using the prototyping method. The output of this system is an application that can be operated online. One of the advantages of the application compared to other device operating systems is that it is relatively cheap. is open source.
Supply chain efficiency transformation: analysis of raw material staff selection based on preference selection index Amrullah, Amrullah; Idaman, Akbar; Al-Khowarizmi, Al-Khowarizmi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp2459-2470

Abstract

In the era of intense business globalization, supply chain management is becoming a vital key to improving the efficiency and competitiveness of enterprises. The selection of raw material supply staff is an important aspect of supply chain management, affecting smooth supply, efficiency and cost control. This research focuses on using the preference selection index (PSI) method in the selection of raw material supply staff. PSI is a tool that integrates data from multiple criteria in the selection process. The results show that PSI provides an effective evaluation in staff selection, identifies key variables that affect selection success and analyzes the impact of using PSI on supply chain efficiency and company productivity. This research fills the knowledge gap in the application of PSI in the context of raw material supply staff selection and contributes to the understanding of efficient and sustainable supply chain management. The results provide valuable insights for industries and organizations that depend on reliable raw material supply and demonstrate the potential to improve the overall staff selection process. The outcome of this study found that Muliyono received a PSI score of 0.9643 and was ranked first, while Ramli received a PSI score of 0.9548 and was ranked second.
Data-Driven Portfolio Optimization using K-Means and Markowitz Model: Evidence from LQ45 Stocks Nasution, Mutiara Akbar; Al-khowarizmi, Al-Khowarizmi
Economic: Journal Economic and Business Vol. 4 No. 2 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i2.1155

Abstract

This study aims to optimize stock portfolio allocation through a data-driven approach by integrating the K-Means Clustering algorithm and the Markowitz Model. The dataset includes technical and fundamental indicators of LQ45 index stocks from 2019 to 2024. The process begins with data normalization and feature extraction, followed by stock clustering using the K-Means algorithm. From the four resulting clusters, the top-performing stock with the highest average return is selected from each. Portfolio weights are then optimized using the Markowitz Model under a mean-variance framework without short selling. The optimization results allocate the largest weights to ARTO, BRPT, and ISAT. Performance evaluation through a backtest simulation in 2024 shows that the portfolio experienced only an 8.02% decline, outperforming the LQ45 index which dropped by 15.60%. These findings underscore the potential of integrating data mining and quantitative optimization methods to improve diversification efficiency and strengthen portfolio resilience during market downturns.
Rancang Bangun Aplikasi Reminder Service Untuk Kenaikan Pangkat Dan Informasi Pensiun ASN Menggunakan Whatsapp Api Berbasis Website Qadri, Habib Al; Al-Khowarizmi, Al-Khowarizmi; Andriana, Septiana Dewi
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7002

Abstract

This research aims to design and develop a web-based reminder service application that informs Civil Servants (ASN) about promotions and retirement information through the WhatsApp API. Currently, notifications regarding promotions and retirement information for ASN are still manually conveyed through WhatsApp messages without standardization. This research aims to provide more structured information about promotions and retirement, from scheduling to standardized messages. The research focuses on the need for an efficient system to manage and deliver important information related to ASN promotions and retirement, given the frequent delays and inaccuracies in information dissemination. The system development method used is the Waterfall model, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. This application is built using the PHP programming language and the Yii Framework, and it integrates the WhatsApp API for personal notifications. Testing results show that this application functions well, providing timely notifications and making it easier for ASN to receive important information related to promotions and retirement through WhatsApp. The web-based reminder service application with WhatsApp API integration is effective in enhancing the efficiency of delivering promotion and retirement information to ASN and is expected to be widely implemented in personnel administration systems.
Optimization of Feature Extraction in Images Using Variants of Decomposition Algorithms Hutagalung , Fatma Sari; Siregar, Farid Akbar; Al-Khowarizmi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.12705

Abstract

This research aims to optimize the feature extraction process in digital images using two decomposition algorithms, namely Haar and Riyad. Feature extraction is an important step in digital image processing, used to extract significant information from images for applications such as pattern recognition, medical image analysis, and surveillance systems. Haar and Riyad algorithms are tested on three types of images: grayscale, color, and texture. Results show that Haar's algorithm excels in processing speed with an average time of 121.67 ms, making it ideal for real-time applications. In contrast, the Riyad algorithm showed higher feature detection accuracy, achieving an average of 93.33% on complex images, despite requiring a longer processing time of 154 ms. This research shows that the selection of a feature extraction algorithm should consider the type of image and the application needs. Haar's algorithm is suitable for real-time surveillance applications, while Riyad is more suitable for in-depth analysis such as on medical images. The significant contribution of this research is that it provides insight into the trade-off between speed and accuracy, and opens up opportunities to develop hybrid methods that combine the advantages of both algorithms to create more efficient and effective image processing solutions.
Metode MOORA Diterapkan untuk Menentukan Promosi Karyawan PTPN 4, dengan Analisis Keputusan Berbasis Kriteria Objektif Ade Haikal; Al-Khowarizmi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i3.994

Abstract

The application of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in employee promotion decisions at PTPN 4 aims to enhance efficiency and objectivity in decision-making. This method allows managers to evaluate employees based on multiple criteria simultaneously, such as performance, experience, contributions, and other relevant factors. By considering these various aspects, MOORA helps make promotion decisions more transparent and fair. One of the primary advantages of applying the MOORA method is its ability to reduce bias that may occur during the promotion process. Bias can arise from subjectivity or imbalance in employee assessments, which are often based on individual judgments or personal perceptions. By using MOORA, promotion decisions are based on more objective and measurable data, making the process more systematic and structured. The MOORA method can also increase employee motivation. A transparent promotion process based on clear criteria provides employees with a strong incentive to continuously improve their performance. When employees know that promotions are based on fair evaluation, they are more motivated to work harder. This, in turn, will increase overall productivity and performance at PTPN 4. The implementation of MOORA at PTPN 4 also provides advantages in better human resource management. With the MOORA-based decision support system, managers can easily identify employees who have the best potential for promotion. This process involves several steps, such as data normalization, determining criteria weights, and calculating final values that reflect overall employee performance. The end result is the selection of employees who meet the qualifications and have outstanding performance for promotion, supporting the sustainable development of the organization.
Integration of Artificial Intelligence in Management Information Systems to Improve the Effectiveness of Strategic Decision-Making in the Digital Era Wasesa, Istikha Ruchitra Hayudirga; Permatasari, Dhyta; Angkat, Fhatiya Alzahra; Al-Khowarizmi, Al-Khowarizmi
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26051

Abstract

The integration of Artificial Intelligence (AI) into Management Information Systems (MIS) has emerged as a strategic imperative for enhancing the effectiveness of organizational decision-making in the digital era. This study aims to analyze the factors influencing successful AI adoption in MIS, evaluate its impact on strategic decision-making effectiveness, and explore the mediating role of dynamic capabilities. Grounded in the Technology Acceptance Model (TAM) and Dynamic Capabilities Theory, a conceptual framework was developed and tested using a mixed-methods approach. Quantitative data were collected from 715 respondents across six industry sectors in Indonesia, while qualitative insights were derived from case studies in 25 organizations with varying levels of AI implementation maturity. Results from Structural Equation Modeling revealed that perceived usefulness, ease of use, organizational readiness, and management support significantly influence AI adoption in MIS. The integration of AI was found to improve decision quality (34.7%), speed (42.3%), predictive accuracy (28.6%), strategic alignment (31.2%), and risk assessment capabilities (36.8%). Qualitative findings highlighted key implementation challenges, including data quality, skills gaps, employee resistance, and integration complexity. This study contributes theoretically by enriching TAM with organizational and strategic dimensions, and practically by offering a comprehensive framework to guide AI integration in MIS for sustained competitive advantage.
Systematic Literature Review: Management Information Systems and Information Technology Putri, Wan Hafizah Ainun Syah; Fadhilah, Ulfa; Lubis, Mhd Muchlisin; Khowarizmi, Al
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26099

Abstract

This research aims to review articles related to Management Information Systems with Information Technology. This research method uses SLR (Systematic Literature Review) where article sources are taken from several databases in order to obtain data that matches the title of this article. Data retrieval sources come from searches of national and international journals published on Google Scholar, through the Publish or Perish application. The results of the analysis using VOSviewer on network visualization, overlay visualization, and density visualization show the relationship between various concepts related to management information systems and information technology. 
Application of Scrum Method in the Design of Water Bill Payment Report Information System at BUMdes Mbinalun Putri, Berlianda Oktariani Jelita; Al-Khowarizmi
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.50

Abstract

An information system comprises components that process data, transforming it into meaningful information and assisting in the achievement of organizational objectives. The report information system on the design and development of this system is web-based, using the scrum methodology, which has flexible properties to develop a data processing application. However, the information system for processing water bill report data carried out at BUMDes Mbinalun still uses Microsoft Excel, so that the resulting data contains many errors in its management. Thus, the Scrum method makes work or data processing neater because the development process uses sprints, which are development activities to achieve small goals (which are broken down from the main goal) that usually take 2-4 weeks, which is called TimeBox. The final result of this work is a web-based water bill payment report system to make it easier to record water bill reports such as customer data, basic tariff data, and usage data. Apart from that, the design of the water bill payment report information system also provides information in the form of reports that can be printed directly, and customers can view bill data on the web.
Design And Construction Of Parking Lot Security System Using Internet Of Things And RFID Technology In Megaland Housing Complex Salma, Riza; Al-Khowarizmi
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 1 (2025): VOLUME 2, NO 1: JUNE 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i1.76

Abstract

The parking lot security system is a very important aspect in maintaining the security and comfort of residents in a housing complex. This thesis aims to design and build a parking lot security system using Internet of Things (IoT) and Radio Frequency Identification (RFID) technology at the MegaLand housing complex. This system integrates IoT devices to monitor and control vehicle entry and exit access, and uses RFID technology to identify each vehicle that has a parking access permit. The use of this technology is expected to increase the efficiency and effectiveness of parking lot management, reduce the risk of theft, and make it easier for residents to access the parking area. The results of implementing this system show a significant improvement in the security and parking management aspects of the MegaLand Housing Complex.
Co-Authors Abdul Razak Nasution Abdulbasah Kamil, Anton Ade Haikal Adidtya Perdana, Adidtya Adila Mawaddah Meuraxa Ahmad Al Qodri 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 Gaizka Pasya Dermawan Sinukaban 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 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 Michael J Watts Miftah Fariz Prima Putra Muhammad Basri Muhammad Furqon Muhammad Luthfi Hamzah Muhammad Rizky Pratama Siregar Muhammad Said Harahap Muharman Lubis Muhathir, Muhathir Muhathir, Muhathir 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 Solly Aryza Suherman Suherman 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