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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
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IMPLEMENTASI APLIKASI POINT OF SALES PADA KELOMPOK UMKM KARANG TARUNA KECAMATAN MEDAN KOTA DALAM UPAYA PEMBERDAYAAN DIGITAL ECONOMY Al-Khowarizmi, Al-Khowarizmi; Sari Hutagalung, Fatma; Maulana, Halim
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 10 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i10.4041-4048

Abstract

Di era digital ini, adopsi teknologi menjadi kunci keberhasilan dan keberlanjutan usaha mikro, kecil, dan menengah (UMKM). Namun, banyak UMKM di Kecamatan Medan Kota yang masih menghadapi tantangan dalam mengintegrasikan teknologi ke dalam operasional mereka, termasuk penggunaan aplikasi Point of Sales (POS). Penelitian ini bertujuan untuk mengkaji implementasi aplikasi POS pada Kelompok UMKM Karang Taruna Kecamatan Medan Kota sebagai upaya pemberdayaan ekonomi digital. Pada penerapan aplikasi point of sales akan menggunakan metode pengembangan perangkat lunak yaitu system development life cycle (SDLC). Hasil penelitian menunjukkan bahwa implementasi aplikasi POS memberikan dampak positif terhadap efisiensi operasional UMKM hal ini dibuktikan dengan hasil kuisioner yang menghasilkan nilai rata rata cukup baik dari sisi kinerja aplikasi, kemudahaan penggunaan, fitur yang tersedua dan kepuasaan secara keseluruha kemudian pelaku UMKM juga terbantu dalam hal pengelolaan transaksi, pengelolaan barang. Namun, penelitian ini juga menemukan beberapa hambatan, seperti keterbatasan literasi digital dan resistensi terhadap perubahan teknologi. Untuk mengatasi hambatan ini, disarankan adanya pelatihan intensif dan pendampingan yang berkelanjutan bagi UMKM. Penerapan aplikasi ini dapat meningkatkan daya saing UMKM dan mendorong pertumbuhan ekonomi lokal melalui pemberdayaan digital. Dengan implementasi yang tepat, aplikasi POS dapat menjadi alat yang efektif dalam mempercepat transformasi digital UMKM, memperluas akses pasar, dan meningkatkan kesejahteraan ekonomi.
Clustering of uninhabitable houses using the optimized apriori algorithm Al-Khowarizmi, Al-Khowarizmi; Nasution, Marah Doly; Sary, Yoshida; Bela, Bela
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p150-159

Abstract

Clustering is one of the roles in data mining which is very popularly used for data problems in solving everyday problems. Various algorithms and methods can support clustering such as Apriori. The Apriori algorithm is an algorithm that applies unsupervised learning in completing association and clustering tasks so that the Apriori algorithm is able to complete clustering analysis in Uninhabitable Houses and gain new knowledge about associations. Where the results show that the combination of 2 itemsets with a tendency value for Gas Stove fuel of 3 kg and the installed power meter for the attribute item criteria results in a minimum support value of 77% and a minimum confidence value of 87%. This proves that a priori is capable of clustering Uninhabitable Houses to help government work programs.
Implementation of The Sales and Purchase Program Application Using The Rapid Application Development Model Web – Based Ichsan, Aulia; Al-Khowarizmi, Al-Khowarizmi; Azhari, Mulkan
Tsabit Journal of Computer Science Vol. 1 No. 1 (2024): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit21

Abstract

The development of information technology is currently developing rapidly and rapidly, which is supported by one of the means, namely computers. Of course, computers that are equipped with certain applications are used to help make human work easier in managing data for an organization or company so that they get accurate results that meet their needs. The results of observations that have been made show that sales and purchasing activities still use manual systems, one of which is in clothing stores. Starting from processing goods data, difficulties checking stock, purchasing transactions, sales transactions, as well as storing other data related to all types of activities, which can cause losses for shop owners, errors in recording and inaccurate reports being made. Judging from the large number of transactions carried out at clothing stores, a faster and more accurate information system is needed. Therefore, the author created a computerized program design using the Microsoft Visual Basic.net programming language and MySQL database, so that information and activities that occur can be carried out quickly and accurately. The method used in designing this program uses the Rapid Application Development (RAD) model. This RAD model is an adaptation of the high-speed version of the waterfall model for the development of each software component. The results achieved from discussing this theme are in the form of ready-to-use sales and purchasing program applications. In this case, the use of program applications is the best solution to solve existing problems, and by using program applications an effective and efficient activity can be achieved in supporting activities, especially for handling sales and purchasing problems.
PENGARUH GAMIFIKASI KAHOOT TERHADAP HASIL BELAJAR BAHASA INGGRIS DENGAN METODE K-MEANS CLUSTERING Prastyono, Reza; Al-Khowarizmi, Al-Khowarizmi
LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Vol. 6 No. 1 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/learning.v6i1.8398

Abstract

This study examines the effectiveness of Kahoot! as an interactive learning medium for improving English learning outcomes among fifth-grade students at Satit Phattanawitya Yala, Thailand, and further classifies students’ achievement levels using the K-Means Clustering method. A quantitative approach with a quasi-experimental pretest–posttest control group design was employed, involving 63 students divided into an Experimental Group (31 students) receiving Kahoot!-based instruction and a Control Group (32 students) receiving conventional instruction. Learning outcome data were analyzed using t-tests, N-Gain calculations, and K-Means clustering to identify patterns of performance improvement. The findings indicate that the Experimental Group achieved significantly higher posttest scores (M = 86.65; SD = 5.21) than the Control Group (M = 74.59; SD = 3.45), with t = 10.860 and p < 0.05. K-Means analysis classified students in the Experimental Group into three categories: High Performers (19.4 percent), Medium Performers (58.1 percent), and Low Performers (22.6 percent), reflecting a more optimal distribution of improvement compared to the control group. The N-Gain values further demonstrate medium–high effectiveness for the Experimental Group (61.63 percent) and low effectiveness for the Control Group (27.60 percent), while Cohen’s d = 2.737 signifies a very strong effect size. These results confirm that Kahoot! significantly enhances English learning outcomes and produces a more progressive performance distribution than conventional instructional methods. ABSTRAK Studi ini menganalisis efektivitas penggunaan Kahoot! sebagai media pembelajaran interaktif dalam meningkatkan hasil belajar bahasa Inggris pada siswa kelas 5 di Satit Phattanawitya Yala, Thailand, serta melakukan klasifikasi tingkat pencapaian siswa menggunakan metode K-Means Clustering. Penelitian ini menerapkan pendekatan kuantitatif melalui desain kuasi-eksperimental pretest-posttest dengan kelompok kontrol, melibatkan 63 siswa yang terbagi menjadi Kelompok Eksperimen (31 siswa) yang menerima pembelajaran berbasis Kahoot! dan Kelompok Kontrol (32 siswa) yang belajar dengan metode konvensional. Data hasil belajar dianalisis melalui uji-t, perhitungan N-Gain, dan pengelompokan K-Means untuk mengidentifikasi pola peningkatan capaian siswa. Hasil penelitian menunjukkan bahwa skor pascates kelompok eksperimen (M = 86,65; SD = 5,21) secara signifikan lebih tinggi dibandingkan kelompok kontrol (M = 74,59; SD = 3,45), dengan nilai t = 10,860 dan p < 0,05. Analisis K-Means mengklasifikasikan siswa kelompok eksperimen ke dalam tiga kategori performa, yaitu Performer Tinggi (19,4%), Performer Sedang (58,1%), dan Performer Rendah (22,6%), yang merefleksikan sebaran peningkatan capaian yang lebih optimal dibandingkan kelompok kontrol. Perhitungan N-Gain juga menunjukkan efektivitas sedang–tinggi pada kelompok eksperimen (61,63%) dan efektivitas rendah pada kelompok kontrol (27,60%), sedangkan nilai Cohen’s d = 2,737 mengindikasikan besaran efek yang sangat kuat. Temuan ini menegaskan bahwa penggunaan Kahoot! secara signifikan mampu meningkatkan hasil belajar bahasa Inggris dan menghasilkan distribusi performa siswa yang lebih progresif dibandingkan metode konvensional.  
An Optimization Approach Goal Programming to Improve the Academic and Administrative Quality of Postgraduate Programs Azis, Zainal; Al-Khowarizmi, Al-Khowarizmi; Harahap, Tua Halomoan; Firdaus, Muliawan; Irvan, Irvan
Indonesian Journal of Education and Mathematical Science Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i1.28873

Abstract

The main objective of this article is to implement the GP approach to improve academic and administrative performance at UMSU postgraduates. In the context of expected results, this article is intended so that UMSU postgraduates can establish strategies to achieve higher academic standards and create a more conducive educational environment through achieving predetermined targets, which include improving the quality of teaching and learning, effectiveness of program administration, and student and lecturer satisfaction with the academic process. The article can make a significant contribution to the academic literature in the field of educational management and operations by offering a new perspective on the application of GP and AHP in a higher education context. Specifically, this article shows how quantitative approaches can be used to improve decision making in the management of academic programs and administration, thereby providing valuable practical and theoretical insights for the development of educational policy and managerial practice in the higher education sector. It can be seen from the results that the parameters in this paper contribute to the weight of the objective (w_1), target (T_1), and the budget constraint (B), all of which play an important role in determining the optimal solution produced by the model
Penerapan Metode Content and Language Integrated Learning (CLIL) dalam Pembelajaran untuk Mengatasi Hambatan Bahasa Indonesia di Saengsattha School, Thailand M.Rafi; Al-Khowarizmi
Tarbiyah bil Qalam : Jurnal Pendidikan Agama dan Sains Vol. 10 No. 1 (2026): Vol X Edisi I 2026 (In-Press)
Publisher : Sekolah Tinggi Ilmu Tarbiyah Al-Bukhary Labuhanbatu

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

Abstract

This study investigates the application of Content and Language Integrated Learning (CLIL) to overcome Indonesian language barriers at Saengsattha School in Southern Thailand, where multilingual students encounter academic vocabulary limitations and speaking anxiety. The objective is to evaluate CLIL's effectiveness in enhancing elementary students' language proficiency. Employing a quasi-experimental one-group pre-test post-test design, the population comprised Prathom 4-6 students, with a purposive sample of 45 (Prathom 4: 13, Prathom 5: 15, Prathom 6: 17). Written tests assessed basic vocabulary, pronouns, and simple sentences, analyzed through descriptive statistics (means, differences, percentages). Results indicate scores improved from 56.2 (pre-test) to 75.8 (post-test), a 34.9% increase. The conclusion affirms CLIL effectively supports contextual language mastery and reduces affective barriers in multilingual settings.
Explainable Data-Driven Machine Learning for Identifying MBG Program Beneficiaries in Medan City Solly Aryza, Solly; Khowarizmi, Al; Furqon, Muhammad; Lubis, Zulkarnain; Nasution, Abdul Razak
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29560

Abstract

The effectiveness of social assistance programs depends heavily on the accuracy and transparency of beneficiary identification. In many urban areas, including Medan, challenges such as incomplete data, administrative bias, and inefficient targeting often lead to inclusion and exclusion errors in determining beneficiaries of the MBG (Makan Bergizi Gratis) program. This study aims to develop an explainable data-driven machine learning model to improve the accuracy and transparency of identifying eligible MBG program beneficiaries. The research employs a quantitative approach using socio-economic and demographic datasets collected from local government records, including variables such as household income, employment status, education level, household size, housing conditions, and access to public services. Several machine learning algorithms, including Random Forest, Gradient Boosting, and Logistic Regression, are implemented to classify potential beneficiaries. To enhance transparency and interpretability, the model integrates Explainable Artificial Intelligence (XAI) techniques, such as SHAP (Shapley Additive Explanations), to identify the most influential factors affecting eligibility predictions. The results demonstrate that the proposed data-driven model significantly improves the accuracy of beneficiary classification while providing interpretable insights into key socio-economic indicators influencing eligibility. The findings indicate that income level, employment status, household dependency ratio, and housing conditions are among the most critical determinants in identifying eligible recipients. The implementation of explainable machine learning models supports more transparent and accountable decision-making in social assistance programs. This research contributes to the development of data-driven governance by providing a robust analytical framework for improving the targeting efficiency of social welfare programs in urban areas. Practically, the proposed framework can assist policymakers and local government agencies in designing fairer and more efficient beneficiary identification systems for the MBG program in Medan City, ultimately supporting better resource allocation and improved social welfare outcomes.
Perancangan Sistem Informasi Manajemen Sekolah dalam Penerapan Smart School untuk Meningkatkan Efisiensi Administrasi dan Pembelajaran Menggunakan Metode CRM (Customer Relationship Management) di Waransansart Lammai School Anggi Irana Bela; Al-Khowarizmi Al-Khowarizmi
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.9615

Abstract

Waransansart Lammai School, an Islamic school in Yala, Thailand, faces challenges in implementing Smart School due to manual administration and limited teacher digital literacy. This research aims to analyze existing conditions, design a web-based School Management Information System (SIMS) with CRM integration, measure digitalization impact over 30 days KKN, and develop system concepts. Using qualitative descriptive approach with quantitative measurements, the population comprises school principal, teachers, and staff, selected via purposive sampling. Instruments include observation guidelines, semi-structured interviews, and documentation sheets, analyzed through Miles & Huberman's model and descriptive statistics. Results show 58.31% time efficiency improvement (from 49.97 to 20.83 minutes daily) and error rate reduction to 3.75%. CRM implementation enhances operational, analytical, and collaborative processes. The study concludes that SIMS with CRM significantly boosts administrative efficiency and stakeholder communication in Smart School framework.
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