Article Per Year (5 Year)
p-Index From 2021 - 2026
9.612
P-Index
This Author published in this journals
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 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 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
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

Published : 83 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 83 Documents
Search

 4   5   6   7   8 
Perancangan Sistem Informasi Pengelolaan Arsip Digital Berbasis Web untuk Mengatur Sistem Kearsipan di SMK Tri Karya Sari, Indah Purnama; Batubara, Ismail Hanif; Al-Khowarizmi, Al-Khowarizmi; Hariani, Pipit Putri
Wahana Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 1 (2022): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.282 KB) | DOI: 10.56211/wahana.v1i1.101

Abstract

Pengelolaan arsip dalam suatu isntansi, lembaga, organisasi maupun perorangan menjadi kebutuhan yang sangat penting dalam proses pemeliharaannya. Arsip merupakan sumber informasi yang sangat penting dalam sebuah administrasi, namun pengelolaan arsip sering terabaikan dan belum efisien, hal ini dapat menyebabkan berbagai masalah dari kerusakan arsip sampai hilangnya data arsip. Pemeliharaan arsip yang baik sangat menentukan proses pencarian arsip yang sudah tersimpan. Arsip harus dikelola dengan baik, hal ini karena arsip |merupakan catatan rekaman kegiatan atau sumber informasi dengan berbagai macam bentuk yang dibuat oleh instansi, lembaga, organisasi maupun perseorangan dalam rangka pelaksanaan kegiatan. Berdasarkan hasil pengamatan pada pengelolaan arsip di SMK Tri Karya meliputi pencatatan surat masuk dan surat keluar dilakukan dengan cara manual, penyimpanan dan pemeliharaan arsip yang kurang baik, tempat penyimpanan arsip yang tidak terawat dan sulit untuk pencarian arsip. Sehingga perlu adanya sistem informasi untuk pengelolaan arsip, sistem informasi arsip dibangun dengan menggunakan bahasa pemograman PHP dan My Sql berbasis web. Hasil dari perancangan ini berupa sistem informasi arsip berbasis web yang dapat mengelola pencatatan surat masuk, surat keluar, pencarian surat, dan penyimpanan arsip secara digital.
Application of Multiple Linear Regression Models in Forming Priority patterns of Village Fund Budget Use Nasution, Tia Alfi Sahara; Al-Khowarizmi
Electronic Integrated Computer Algorithm Journal Vol. 2 No. 1 (2024): VOLUME 2, NO 1: OCTOBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v2i1.37

Abstract

This study aims to analyze the factors that influence the level of utilization of the village fund budget in Dolok Maraja Village, Simalungun Regency. Descriptive quantitative method with Multiple Linear Regression analysis was used to achieve the objective. The results showed that there was a significant relationship between the independent variable (village fund budget) and the dependent variable (the utilization rate of the village fund budget). The factors that most influence the utilization rate of the village fund budget are population, area, and poverty level. Implication of The implication of this study is that the government should consider these factors in the process of allocating village fund budgets. Villages with larger populations, larger areas, and higher poverty rates require larger budget allocations to ensure effective and efficient village development. In addition, the importance of good governance of village fund budgets and active community participation in the process of planning and implementing village development is also highlighted in this study. Specifically, this study shows that every year, the utilization rate of the village fund budget increases by an average of 6.5632. Meanwhile, each increase in the number of poor people and the Village Fund Ceiling decreases and increases the utilization rate of the village fund budget by an average of 2.6104 and 3.7433, respectively. Village area did not have a significant effect. Although this regression model has low explanatory power, it is statistically valid and fits the observed data. This research highlights the importance for the government to consider the factors of population, area, and Village Fund Ceiling in allocating the village fund budget, as well as improving governance and community participation in village development.
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.
Deteksi Kematanagan Buah Sawit dengan Menggunakan Algoritma Convolutional Neural Network Siregar, Muhammad Rizky Pratama; Al-Khowarizmi, Al-Khowarizmi
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp175-183

Abstract

This research aims to develop an automatic palm fruit ripeness detection system using the Convolutional Neural Network (CNN) algorithm. The dataset used consists of thousands of images of ripe and unripe palm fruits with varying lighting conditions and shooting angles. The CNN model used is MobileNetV2 which has been adapted for binary classification tasks. The training process is performed using data augmentation techniques to improve the generalization of the model. The evaluation results show that the developed CNN model is able to classify the ripeness of palm fruits with an accuracy of 84%. Comparison with conventional methods that rely on visual assessment shows that the CNN model provides more consistent and objective results. The implementation of this model has the potential to increase the efficiency of the harvesting and processing of palm fruits and reduce production costs.
Meningkatkan Potensi Lokal Melalui Website dan Digital Marketing. Perancangan Website Desa, Sekolah, UMKM Nasution, Mutiara Akbar; Al-khowarizmi, Al-khowarizmi
Jurnal Pengabdian Masyarakat Larisma Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Larisma
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/jpml.v1i2.751

Abstract

Desa Bandar Labuhan memiliki potensi lokal yang melimpah, seperti hasil pertanian daun kelor dan buah duku, serta destinasi wisata Tamora Waterland dan Tamora Funland. Namun, potensi tersebut belum didukung oleh pemanfaatan teknologi digital yang optimal untuk promosi dan pengembangan. Kegiatan Kuliah Kerja Nyata (KKN) ini bertujuan untuk membantu Desa Bandar Labuhan dalam meningkatkan eksistensi digital melalui pengembangan website dan strategi digital marketing. Kegiatan ini mencakup pembuatan website untuk desa, sekolah, dan UMKM setempat, serta pelatihan pengelolaan website kepada masyarakat desa agar dapat dikelola secara mandiri. Website yang dibangun diharapkan mampu mempromosikan potensi lokal secara lebih luas dan meningkatkan daya saing desa di era digital. Hasil dari kegiatan ini menunjukkan adanya peningkatan keterampilan masyarakat dalam pengelolaan website dan peningkatan eksposur potensi desa melalui media digital. Diharapkan, inisiatif ini dapat berkelanjutan dan memberikan dampak ekonomi yang positif bagi masyarakat Desa Bandar Labuhan.
Modification of K-Nearest Neighbor Method with Normalized Euclidean Distance for Classification of Local Berastagi Orange Quality Siregar, Ananda Afifah; Al-Khowarizmi
Electronic Integrated Computer Algorithm Journal Vol. 2 No. 2 (2025): VOLUME 2, NO 2: APRIL 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v2i2.60

Abstract

Local Indonesian fruit is one example of Indonesia's natural wealth, one of which is the local Berastagi orange. Oranges are rich in vitamin C which is good for body health. Oranges tend to have a sour, fresh, and sweet taste. The vitamin C contained in oranges is 97.3 milligrams or equivalent to 163% of the nutritional adequacy rate. Not only Vitamin C, oranges also contain vitamin B6, antioxidants and fiber. Therefore, it is highly recommended to consume oranges every day because oranges can facilitate digestion, reduce the risk of diabetes, maintain healthy skin, and also maintain endurance. This study aims to apply the Classification and assessment of the quality of local oranges using the K-Nearest Neighbor (KNN) method modified with Normalized Euclidean distance to classify the quality of local Berastagi oranges based on the color of the fruit image. The research dataset was taken from 100 images of local Berastagi oranges, where the 100 images were divided into 2, namely, good oranges and bad oranges. The classification process for local Berastagi oranges uses the matlab application.
Quality Classification of Air Quality in Medan Industrial Area Using Naïve Bayes Method Zhafirah, Zhahrah; Al-Khowarizmi
Electronic Integrated Computer Algorithm Journal Vol. 2 No. 2 (2025): VOLUME 2, NO 2: APRIL 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v2i2.61

Abstract

Advances in information technology have affected various aspects of life, including efforts to monitor air quality. Clean air is a basic human need, but technological developments and increased industry and the number of motorized vehicles have caused a decline in air quality. Air pollution has various negative impacts, including health problems and global warming. To help the community and government in monitoring air quality, this study implements a data mining method with a classification technique using the Naïve Bayes Algorithm. This method was chosen because of its effective ability to predict air quality based on historical data. This study uses data from the Air Pollution Standard Index (ISPU) parameters to build a classification model that can separate air quality categories, such as Good, Moderate, Unhealthy, Very Unhealthy, and Hazardous. The results of the study are expected to provide accurate information to the public about air quality in KIM, as well as assist the government in efforts to control air pollution.
The implementation of the ROC weighting method on EDAS for optimizing employee incentive distribution (Case Study of PT. Juishin) Simanungkalit, Ahmad Hazazi; Al-Khowarizmi; Faradillah, Yanty
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.1225

Abstract

Rewards can serve as a tool for motivating employees within a company. Typically, companies offer rewards to employees in the form of salary increases, incentives or bonuses, promotions, and other rewards, similar to those implemented by PT. Juishin. PT. Juishin is a company engaged in the production of cement and ceramics. In awarding rewards, PT. Juishin currently employs a direct selection method, which has led to instances of employee dissatisfaction. This research aims to design and develop an application for the selection of employees eligible for rewards by utilizing the ROC and EDAS methods. The application of these methods will facilitate the company's process of selecting reward recipients. The system design employs UML, including use case diagrams, activity diagrams, class diagrams, and sequence diagrams. The outcome of this research is to assist HR in determining the eligibility of reward recipients. The application will display the ranking process of reward recipients, where those with the highest scores will receive the rewards. The system testing is conducted using black box testing to ensure that the application meets the functional requirements. The result of this research will assist the company in assessing employee eligibility for rewards on a daily basis.
Modification of Multilayer Perceptron Using Detection Rate Model for Prediction of Nominal Exchange Rate Al-Khowarizmi Al-Khowarizmi; Romi Fadillah Rahmat; Michael J Watts; Akrim Akrim; Arif Ridho Lubis; Muhammad Basri
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 2 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i2.6117

Abstract

An artificial neural network (ANN) is a network of a group of units to be processed which is modeled based on the behavior of human neural networks. ANN has one of its tasks, namely prediction. Multilayer perceptron (MLP) is one of the ANN methods that can be prediction all of data. Where the prediction needs to be reviewed because the prediction process does not always run normally. So, it takes a good measurement accuracy in order to get an accuracy sensitivity. The accuracy technique in this paper is carried out using Mean Absolute Percentage Error (MAPE) based on absolute error and detection rate. The results obtained with absolute error achieve an accuracy of 99.73% while the accuracy based on the detection rate achieves an accuracy of 99.49%. this can be seen in the case of the prediction of (Indonesian Rupiah) IDR exchange rate against United State Dollar (USD) with the MLP algorithm by testing using MAPE to achieve sensitivity with absolute error.
Analysis K-Nearest Neighbors (KNN) in Identifying Tuberculosis Disease (Tb) By Utilizing Hog Feature Extraction Muhathir, Muhathir; Sibarani, Theofil Tri Saputra; Al-Khowarizmi, Al-Khowarizmi
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 3, No 2 (2022)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v1i1.11

Abstract

Pulmonary tuberculosis is an infectious disease caused by Microbacterium tuberculosis, which is one of the lower respiratory tract disease, which is largely in the pulmonary tissue of the lung infection and then undergoes a process known as the primary focus of Ghon. Because the disease is difficult and takes a long time to decide the patient is affected by the disease Tuberkolusis, then the detection of the patient affects Tuberkolusis by utilizing the K-NN method as a classification and HOG as feature extraction. Results of the classification of positive diagnosis with a total of 234 samples from 330 samples or successfully recognizable Sebasar 70.90%, while the classification result is a negative diagnosis with the amount of 240 samples from 330 samples or successfully identified by 72.72%. The results of the study showed the image classification of the X-ray Set Tuberculosis using the method K-NN and HOG feature with cross-validation 5 folds with 71.81% accuracy. Keyword : tuberculosis, K-NN, HOG.
Co-Authors Abdulbasah Kamil, Anton Ade Haikal Adidtya Perdana, Adidtya Adila Mawaddah Meuraxa Ajulio Padly Sembiring Akbar Idaman Al Hamidy 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 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 Idham Kamil Ilham Ramadhan Nasution Indah Purnama Sari 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 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 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 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 Suherman Suherman Tessya Fakhta Tri Nasution Triantono, Gatot Umi Salamah Vicky Rolanda Wasesa, Istikha Ruchitra Hayudirga Watts, Michael J. Yoshida Sary Yuyun Yusnida Lase Zhafirah, Zhahrah