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All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Ekonomi Daerah (JEDA) Jurnal Ekonomi, Bisnis dan Kewirausahaan (JEBIK) Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Wardah Jurnal Media Gizi Indonesia (MGI) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING AcTion: Aceh Nutrition Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ekonomi Integra JTAM (Jurnal Teori dan Aplikasi Matematika) Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan ILKOM Jurnal Ilmiah Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Pertanian JURNAL PENDIDIKAN TAMBUSAI Amerta Nutrition Journals of Ners Community JRA: Jurnal Riset Akuntansi JIK- JURNAL ILMU KESEHATAN Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Jurnal Agrotek Lestari Jurnal Ners Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Management of Zakat and Waqf Journal (MAZAWA)) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Meukuta Alam : Jurnal Ilmiah Mahasiswa JURNAL ILMIAH GLOBAL EDUCATION Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Ikhtisar: Jurnal Pengetahuan Islam International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) MASTER: Jurnal Manajemen Strategik Kewirausahaan Jurnal Teknik Sipil Giratory Upgris Jurnal Minfo Polgan (JMP) Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Teknologi Lingkungan Lahan Basah TECHSI - Jurnal Teknik Informatika Balanca : Jurnal Ekonomi dan Bisnis Islam Jurnal Ekonomika Dan Bisnis Tameh : Journal of Civil Engineering Fikruna : Jurnal Ilmiah Kependidikan dan Kemasyarakatan Jurnal Pendidikan Matematika Malikussaleh Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Jurnal Ilmiah Ilmu Terapan Universitas Jambi Proceeding Applied Business and Engineering Conference Jurnal Ilmiah Pengabdian dan Inovasi International Journal of Information System & Innovative Technology EJOIN : Jurnal Pengabdian Masyarakat Innovative: Journal Of Social Science Research SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal Of Artificial Intelligence And Software Engineering RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Malikussaleh Mengabdi Jurnal Riset Ilmiah Jurnal Pengabdian Masyarakat Journal of Advanced Computer Knowledge and Algorithms Jurnal Sains, Teknologi dan Kesehatan Jurnal Solusi Masyarakat Dikara Ruang Komunitas : Jurnal Pengabdian Masyarakat International Journal of Information System and Innovative Technology INOVTEK Polbeng - Seri Informatika Journal of Agrotechnology and Sustainability Jurnal Pengembangan dan Pengabdian Masyarakat Asian Journal of Science Education RANGGUK: Jurnal Pengabdian Kepada Masyarakat AICOS Proceeding of The International Conference on Electrical Engineering and Informatics Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Bustami Bustami
Teknik Informatika Universitas Malikussaleh
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Recommendation System For Choosing The Best Laptop For Informatics Students Using The SMART Method Depi Sihotang; Bustami; lidyarosnita
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

In the rapidly advancing digital era, the use of laptops has become an essential need, especially for students. The problem of choosing the right laptop is still often experienced by many students. This issue arises due to a lack of knowledge in selecting laptops with good specifications and affordable prices, so purchasing decisions are often based on friends' recommendations or advertisements that do not always meet their academic needs optimally. This research uses the Simple Multi Attribute Rating Technique (SMART) method. SMART is a flexible decision-making method. The process of determining the best laptop involves criteria such as price, processor type, monitor screen size, operating system, RAM, VGA type, and storage. The system provides solutions by using the SMART method to evaluate the weights and criteria that have been determined. The ranking process is carried out to determine the best laptop for students majoring in informatics. From 10 data samples for the Informatics department, the highest alternative value (A4) was obtained, namely "ACER Swift X 14 SFX14-71G-70KB" with a final score of 0.866666667, and the lowest alternative value (A8) was "ASUS VivoBook 14 A1404ZA-IPS321" with a final score of 0.166666667. The process of determining the best laptop using the Simple Multi Attribute Rating Technique (SMART) method aims to help informatics students choose laptops that suit their academic needs.
TF-IDF Algorithm For Weighting In Determining The Similarity Of Text In Documents Bustami Bustami
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 1 (2018): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The grouping of research documents is needed to facilitate information retrieval. Sometimes we have to read one by one the contents of a document to be able to group it or know the existing information. This research attempts to help in finding information that exists in documents quickly. The information searching in documents by calculating the Term Frequency (TF) and Inverse Document Frequency (IDF) values on each token (word) in each document. The TF-IDF algorithm is an algorithm to calculate the weight of each word that is most commonly used in information retrieval. This algorithm is also known to be efficient, easy and accurate to get results. The accuracy of this algorithm in finding the information in a document reaches above 83,3%.
Evaluating Socio-Economic Impacts of Productive Zakat on Mustahik Empowerment: A Propensity Score Matching Analysis Toni, Hariya; Syafii, Muhammad Hisyam; Bustami, Bustami; Azhari, Husain; Alaldaya, Rudyn
Management of Zakat and Waqf Journal (MAZAWA) Vol. 8 No. 1 (2026): Management of Zakat and Waqf Journal (MAZAWA)
Publisher : Universitas Islam Negeri Sunan Ampel Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mzw.2026.8.1.1-23

Abstract

This study assesses the socio-economic effects of productive zakat initiatives on mustahik empowerment in Indonesia through a quasi-experimental methodology employing Propensity Score Matching (PSM). Data from 160 participants across various Zakat Management Organizations were gathered April 2025. The study utilized a multifaceted empowerment paradigm encompassing economic, social, human capital, and psychological components to address gaps in Islamic social finance literature. Results indicate significant empowerment enhancements, evidenced by a 63.1% increase in the composite empowerment index (effect size d=2.29). Economic empowerment showed substantial benefits (72.7% rise, d=2.37), followed by human capital development (82.7% increase, d=2.54). Psychological well-being indicators demonstrated notable improvements in self-confidence (26.9%), life satisfaction (39.7%), and stress management (100%). Correlation analysis revealed mentorship quality as the strongest predictor of comprehensive empowerment (r=0.478, p<0.001). The research confirms the efficacy of integrating financial assistance with capacity-building initiatives, reinforcing theoretical models emphasizing holistic Islamic development. High participant satisfaction rates (92.5% rating ≥8/10) indicate program acceptance and sustainability potential. These findings strengthen strategies for achieving Sustainable Development Goals and provide evidence for effective zakat allocation policies. This research advances Islamic social finance methodology by demonstrating PSM's relevance in evaluating faith-based development interventions, establishing a robust framework for future impact assessments in Muslim-majority contexts.
Comparison of Single Exponential Smoothing and Double Exponential Smoothing Methods for Gold Price Prediction mardhatillah, mardhatillah; bustami, bustami; suwanda, rizki; safwandi, safwandi; qamal, mukti
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.8597

Abstract

Emas diakui secara global sebagai safe haven asset dengan nilai yang relative stabil, meskipun harganya tetap mengalami fluktasi akibat pengaruh faktor ekonomi  seperti kondisi global, inflasi, serta keseimbangan permintaan dan penawaran. Oleh karena itu, peramalan harga emas yang akurat menjadi penting dalam mendukung pengambilan keputusan investasi. Penelitian ini bertujuan untuk membandingkan kinerja metode Single Exponential Smoothing dan Double Exponential Smoothing dalam meramalkan harga emas. Data yang digunakan berupa data deret waktu bulanan harga emas periode januari 2022 – 2024 yang diperoleh dari beberapa took emas. Sistem peramalan dikembangkan berbasis web menggunakan bahasa pemograman PHP. Evaluasi akurasi dilakukan menggunakan metode Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa kedua metode mampu memberikan prediksi yang cukup baik, namun metode SES menghasilkan nilai MAPE yang lebih rendah dibandingkan DES. Penelitian ini diharapkan dapat menjadi referensi bagi pelaku usaha emas dalam menentukan strategi investasi yang tepat  
Web-Based Stroke Disease Classification System Using the Modified K-Nearest Neighbors Method Rizki Suwanda; Bustami Bustami; Muhammad Khardawi
Jurnal Minfo Polgan Vol. 15 No. 1 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i1.16046

Abstract

Classification is a systematic method of grouping data based on predefined analytical rules and principles. One of the classification methods employed in this study is the Modified K-Nearest Neighbors (MKNN) algorithm, which is recognized for its potential to achieve higher accuracy. MKNN is an extension of the traditional K-Nearest Neighbors (KNN) method, incorporating an additional ranking stage and a weighted voting mechanism using an alpha value of 0.5. The object of this study is stroke disease. In the medical context, stroke occurs due to a disruption of blood flow to the brain. Ischemic stroke is caused by the obstruction of blood vessels and is generally considered less severe, whereas hemorrhagic stroke results from the rupture of blood vessels and is categorized as a severe condition. Hospitals in Indonesia are required to provide prompt and accurate healthcare services, in accordance with Law Number 36 of 2009 concerning Health. Approximately 70% of stroke patients have a history of hypertension and heart disease, while around 87% experience psychological disorders such as anxiety and depression. Based on data obtained from Cut Meutia Regional General Hospital (RSUD Cut Meutia) in Lhokseumawe, the classification of stroke types is still performed manually through clinical observation. Therefore, this study proposes a stroke classification system based on the MKNN algorithm. The system utilizes 11 features and two diagnostic classes, namely ischemic stroke and hemorrhagic stroke, with a total of 100 medical record datasets divided into 80 training data and 20 testing data. Using a value of K = 5, the system achieved an average confidence accuracy of 81.19%, with a precision of 85.71%, recall of 80%, F1-score of 82.75%, and overall accuracy of 75%. The system was developed using the PHP programming language and a MySQL database.
Clustering the Spread of ISPA Disease Using the Fuzzy C-Means Algorithm in Aceh Utara Rozzi Kesuma Dinata; Bustami Bustami; Sujacka Retno; Azrai Putra Barumun Daulay
International Journal of Information System and Innovative Technology Vol. 1 No. 2 (2022): December
Publisher : Geviva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63322/901yj796

Abstract

ISPA disease is one of the most common types of disease suffered in Aceh. The method used in this research is fuzzy c means algorithm to cluster the spread of ISPA disease areas in Aceh Utara. The data used is the data on patients with ISPA in 2021 obtained from Cut Meutia General Hospital and Arun Hospital. The attributes used consist of the patient's age, patient's address, patient's gender and the type of ISPA the patient suffered. In this research only focused on 3 types of ISPA, namely Pneumonia, Bronchitis and ISPA. The existing data will then be grouped into 3 clusters, namely low cluster, medium cluster and high cluster. The results of clustering the spread of ISPA in Aceh Utara show that the highest case is in Dewantara District, the medium cluster are Muara Batu, Nisam, Nisam Antara, Sawang, and Tanah Jambo Aye Districts, and the low cluster is Baktiya, Baktiya Barat, Banda Baro, Cot Girek, Geureudong Pase, Kuta Makmur, Langkahan, Lapang, Lhoksukon, Matang Kuli, Meurah Mulia, Nibong, Paya Bakong, Pirak Timu, Samudera, Seunudon, Simpang Keramat, Syamtalira Aron, Syamtalira Bayu, Tanah Luas and Tanah Pasir Districts. With the results of this clustering, it is expected that the provision of drug stocks for ISPA will be prioritized in cluster areas with the highest spread rates.
Comparison of Support Vector Machine and Naïve Bayes Algorithms in Sentiment Analysis of Tiktokshop Application User Reviews Agus Maula Rizki; Bustami Bustami; Said Fadlan Anshari
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.21342

Abstract

This study presents a comparative analysis of Support Vector Machine (SVM) and Naïve Bayes algorithms for sentiment analysis of TikTokShop application user reviews. As TikTokShop emerges as an innovative platform integrating social media with e-commerce, understanding user sentiments becomes crucial for both consumers and businesses. A balanced dataset of 3,000 user reviews (1,000 positive, 1,000 neutral, and 1,000 negative) was collected through web scraping from Google Play Store. Following comprehensive preprocessing including cleansing, case folding, normalization, tokenization, stopword removal, and stemming, the data was vectorized using TF-IDF. Performance evaluation utilized accuracy, precision, recall, F1-score, confusion matrix, and 10-fold cross-validation. Results demonstrate that SVM consistently outperformed Naïve Bayes with higher accuracy (68.86% vs. 64.48%), precision (68.43% vs. 64.19%), and F1-score (68.58% vs. 62.46%). SVM exhibited balanced classification across all sentiment categories, while Naïve Bayes excelled at identifying negative sentiments (94.1% accuracy) but struggled significantly with neutral reviews (38.5%). Despite SVM's superior performance, Naïve Bayes demonstrated remarkable computational efficiency, with training time 224 times faster than SVM. The study reveals complementary strengths between the algorithms, suggesting potential value in ensemble approaches. These findings contribute to the understanding of sentiment analysis in video-based e-commerce platforms and provide valuable insights for businesses seeking to leverage user feedback for improved decision-making.
K-Medoids Clustering Method Iin Transaction Data Reports of UIN IB Padang With Bank Nagari Muhammad Jihad Saputra; Bustami; Maryana
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/tq2tkw36

Abstract

Manual management of student financial transaction data remains a major challenge in many higher education institutions, including in the collaboration between Universitas Islam Negeri Imam Bonjol (UIN IB) Padang and Bank Nagari. Until now, no automated system has been developed to cluster student transaction data using the K-Medoids algorithm within higher education institutions in West Sumatra. This study aims to design a transaction clustering system that can identify student transaction patterns more efficiently. The K-Medoids algorithm is applied to transaction data that has been preprocessed through categorical transformation and normalization to address accuracy issues in distance-based analysis. The results show the formation of three main clusters: low (59 data points), medium (185 data points), and high (106 data points). This distribution reflects the variations in student transaction behavior and can be utilized by both the university and the bank to design more targeted service strategies, such as resource allocation and payment policy evaluation. This research provides an initial contribution to the application of K-Medoids-based data mining for optimizing transaction management in regional higher education institutions
Clustering of Food Security Levels in North Aceh Using K-Medoids Tarisha Zhafira; Bustami Bustami; Nunsina Nunsina
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12881

Abstract

Food security is essential for ensuring food availability, accessibility, and utilization. This study applies a multidimensional indicator framework covering social, economic, and infrastructure aspects to cluster regions in North Aceh Regency, addressing limitations of previous studies that primarily focus on agricultural production indicators and lack policy-oriented analysis. The analysis uses 2023 data from 27 sub-districts at the village level, comprising 852 villages. The indicators include: (1) the ratio of agricultural land area to total population, (2) the ratio of food supply facilities and infrastructure to households, (3) the ratio of population with the lowest welfare status to total population, (4) the proportion of villages without adequate transportation access via land, water, or air, (5) the ratio of households without access to clean water, and (6) the ratio of population per health worker relative to population density. Data processing involves preprocessing, normalization, and K-Medoids clustering, evaluated using the Davies–Bouldin Index (DBI) and Silhouette Coefficient (SC). The results identify six clusters: highly food insecure (C1) with 63 villages, food insecure (C2) with 92 villages, moderately food insecure (C3) with 179 villages, moderately food secure (C4) with 42 villages, food secure (C5) with 49 villages, and highly food secure (C6) with 427 villages. Most villages fall within moderately food insecure to highly food secure categories, indicating disparities in food security distribution. The DBI value of 3.085 indicates moderate cluster compactness, while the SC value of 17.75% suggests weak separation between clusters. These findings provide policy recommendations for targeted and equitable food security interventions.
Co-Authors Abd Mubaraq, S.E.,Sy. M.A Achmad Achmad Adhi Yuniarto Agus Maula Rizki Ahmad Farhan, Ahmad Aidilof , Hafizh Al Kautsar Aidilof, Hafizh Al Kausar Ainal Mardhiah alaldaya, Rudyn Alek Wissalam Bustami Alfyansyah, Gusti Alhamidiy, Abdillah Nur Ali Masduqi Alkafi, Alkafi Amalia, Sisi Amiruddin Amiruddin anasril, anasril Anggi Desviana Siregar Desviana Siregar, Anggi Desviana Siregar Desviana Anggraini, Selia Apriyani, Firli Mai Ar Razi Ardelia, Aya Sofia Aris Munandar Arminingsih, Diah Asmirayani Asmirayani Asmirayani, Asmirayani Auliaurrahman, Auliaurrahman Azhar Azhar Azhari, Husain Azrai Putra Barumun Daulay Azzahra, Dea Bagas Wahyu Adhi, Bagas Wahyu Baharuddin Baharuddin Bancin, Udurta Bustami, Yuserizal Custer, Jhonny Cut Farida Aryani Dafiar Syarif Dea Azzahra Depi Sihotang Desiana Desiana, Desiana Dwi Kurniawan, Dwi Eka Putra Ekajaya, Candra Ella Suzanna Endah Sri Wahyuni Endang Susilawati Fadlisyah Fadlisyah Fahrul Rozi Siregar Faishol Luthfi Fajriana, Fajriana Fasdarsyah Fasdarsyah Fatika, Dian Fiasari, Fiasari Gusti Alfyansyah Gusti Alfyansyah Hafidh Rafif, Teuku Muhammad Hafizh Al Kautsar Aidilof Hakim, Kurniawati Halimatussakdiah Halimatussakdiah Harahap, Elly Wanisyah Harahap, Ilham Taruna Harahap, Samsul Bahry Hariya Toni Hasan Sazali Herlambang, Tri Mulyono Ikhlas, Nur ilham - sahputra INDRAYANI INDRAYANI Irma Mauliza Iskandar, Fahra Azzahra Ismail Ismail Joko Santoso Jufrizal Jufrizal Junita, Dini Jurisman Amin Karimullah Karimullah Katimin, Katimin Khairunnisak Khairunnisak, Khairunnisak Kholil, Syukur Lahmuddin Lubis Laksamana, Rio Lenny Hasan, Henny Sjafitri, Nelharosma, Liana, Intan Lidya Rosnita lidyarosnita Luthfiah, Moulana M Fauzan Mahabbati, Suci Maharani, Silfa Mailin, Mailin Mardhatillah, Mardhatillah Maryana Maryana, Maryana Maryono Maryono Maulidi Maulidi Mauliza, Irma Meldawati, Yesi Meliza Putri Mubaraq, Abd Muhammad Fajri Muhammad Fauzan Muhammad Fikry Muhammad Hutomi Muhammad Jihad Saputra Muhammad Khardawi MUHAMMAD KOSIM, MUHAMMAD Muhammad Muhammad Muhammad Muhammad Muhammad Yani, Muhammad Mukhlish Muhammad Nur Mukti Qamal Mukti Qamal Mulyani, Tasya Munirul Ula Murni, Mayang Mutammimul Ula Muthmainnah Muthmainnah Mu’arrif, Zul Ihsan Najah, Nyayu Siti Hidayatun Nastasya, Widia NELI SUSANTI, NELI Ngadimin Ngadimin Nilda, Elvi Nisa, Cut Chairun Nunsina, Nunsina Nur Hasanah Nurdin Nurdin Nurhasanah Nurhasanah Nurhayani, Melda Vitry Nyak Arief, Teuku Okataria, Welan Pramadani, Kendra Putri, Dea Rizka Amanda Putri, Mia Yolanda Utami Putri, Rahmatillah Dwi Rahmah Hayati Rahmiati Rahmiati Ravico Ravico, Ravico Razi, Ar Rian Diana Ridhwan Ridhwan, Ridhwan Ridwan, Ridwan Rimin Rini Fitriani Rini Meiyanti Risa Marta Yati Risawandi, Risawandi Rizal Rizal Rizal S.Si., M.IT, Rizal Rizki Putri Ramadhani, Rizki Putri Rizki Suwanda Rosyanne Kushargina Rozzi Kesuma Dinata RR. Ella Evrita Hestiandari Rusdi Rusdi Safri, Hayanuddin Safwandi Safwandi, Safwandi Said Fadlan Anshari Salhan, Susi Samosir, Dini Kairiyah Sari, Efti Novita Sayed Fachrurrazi Senda, Tito Afwi Setyarini Soemadi, Dian Shayravi Shayravi Shayravi, Shayravi Siregar, Fahrul Rozi Siti Nurhaliza Siti Sahara Suci Fitriani, Suci Suharyon, Suharyon Sujacka Retno Sumanti, Eva Supriaman, Supriaman Suryana Suryana Suryana Suryana Susyanti Susyanti, Susyanti Syafii, Muhammad Hisyam Syafruddin Nurdin syah, Fadli Syahbudi, Syahbudi Syahputra, M Oriza Syahrial, Dopa Syammaun, Tamalkhani Syamsarina, Syamsarina Syibral Malasyi syukrawati, syukrawati Tarisha Zhafira Taufik, M. Iman Teuku Mudi Hafli Tiara, Tiara Tri Mulyono Tri Mulyono H, Khairunnisak Utama, Lalu Juntra Yacoub, Yarlina Yanti, Meyi Yesy Afrillia Yonaldi, Sepris Yulia Fitri Yunianto, Andi Eka Yunina Yunina Zara Yunizar Zubir, Zubir Zuleha, Zuleha Zulkarnen Mora, Zulkarnen Zulmi, Syafriade