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All Journal Jurnal Ilmu Komputer Jurnal Inotera Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Eduscience (JES) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal AbdiMas Nusa Mandiri Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Minfo Polgan (JMP) Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Informasi Dikdimas : Jurnal Pengabdian Kepada Masyarakat Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Advanced Computer Knowledge and Algorithms Gameology and Multimedia Expert Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS)

Said Fadlan Anshari

Universitas Malikussaleh

Author-ID : 6018684

Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Comparison of Support Vector Machine and NaÃ¯ve Bayes Algorithms in Sentiment Analysis of Tiktokshop Application User Reviews Rizki, Agus Maula; Bustami, Bustami; Anshari, Said Fadlan
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

This study presents a comparative analysis of Support Vector Machine (SVM) and NaÃ¯ve 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 NaÃ¯ve 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 NaÃ¯ve Bayes excelled at identifying negative sentiments (94.1% accuracy) but struggled significantly with neutral reviews (38.5%). Despite SVM's superior performance, NaÃ¯ve 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.

Student Creativity Education in Plastic Waste Processing Innovation Setiawan, Tulus; Suwanda, Rizki; Anshari, Said Fadlan; Husna, Nur Fazri; Sartika, Tiara
DIKDIMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 3 (2024): DIKDIMAS : JURNAL PENGABDIAN KEPADA MASYARAKAT VOL 3 NO 3 DECEMBER 2024
Publisher : Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/dikdimas.v3i3.350

This community service activity aims to address environmental problems, emphasizing project-based learning, where participants are invited to solve real-world problems in their environment. The implementation of the Kurikulum Merdeka (Independent Curriculum) offers a great opportunity to utilize the Project for Strengthening Pancasila Student Profiles (P5) as a platform to encourage student involvement in environmental issues. One tangible form of P5 implementation is through a project converting plastic waste into oil. The activity was conducted at SMA Negeri 5 Kota Lhokseumawe, employing the creative education method for plastic waste processing, including education and training for teachers and students, as well as project assignments for processing plastic waste through the pyrolysis process. The results of the community service activity showed that more than 80% of respondents rated the educational activities, such as material delivery, awareness-raising, and providing new insights on plastic waste processing, as excellent. Moreover, 95% expressed satisfaction with the implementation of the plastic waste processing project via the pyrolysis process, which successfully provided educational, technical, and motivational experiences to participants. Education and the plastic waste processing project have proven to offer practical solutions that not only enhance students' knowledge and skills but also drive behavioral and attitudinal changes toward the environment.

“Kelas ISP - Intelek Sadar Potensi” Dalam Rangka Peningkatan Kemampuan Mahasiswa Bidang Teknologi Informasi dan Komputer Said Fadlan Anshari; Anshari, Said Fadlan; Maulana, O.K. Muhammad Majid; Angkasa, M. Ishlah Buana; Rizki, Sukma; Chan, Fajar Ricaldi; Samudera, Brucel Duta
Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Volume 2 Issue No. 1: July 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v2i1.20241

Perkembangan pesat dalam bidang teknologi informasi, terutama dalam bidang pemrograman dan multimedia, menuntut individu di sektor ini untuk terus meningkatkan kemampuannya. Sementara bahasa pemrograman yang ada saat ini terus berkembang, namun kurikulum di perguruan tinggi seringkali tidak dapat mengikuti laju perubahan teknologi ini. Universitas Malikussaleh (UNIMAL) menghadapi tantangan ini dengan meluncurkan Informatic Study Platform – Universitas Malikussaleh (ISP-UNIMAL), sebuah wadah yang bertujuan mendukung pengembangan keterampilan mahasiswa melalui kegiatan ko-kurikuler. ISP-UNIMAL memperkenalkan program “Kelas ISP - Intelek Sadar Potensi”, yang menawarkan kelas pembelajaran tambahan dalam berbagai bidang teknologi informasi, termasuk pemrograman dasar, mobile programming, front-end dan back-end programming, internet of things (IoT), UI/UX, desain grafis, serta sinematografi. Kelas ini dipandu oleh mahasiswa Teknik Informatika yang telah diseleksi, dengan kurikulum yang disusun bersama dosen dan disesuaikan dengan tren industri dan perkembangan teknologi terkini. Program ini diharapkan dapat memperkaya pengetahuan mahasiswa, mempersiapkan mereka untuk menghadapi kompetisi di dunia industri, serta meningkatkan daya serap lulusan di pasar kerja.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v2i1.20241

Beyond Coding: Penguatan Kepemimpinan, Inovasi, dan Kontribusi melalui Kegiatan Training Dasar Organisasi HIMATIF Universitas Malikussaleh Anshari, Said Fadlan; Ula, Munirul; Yasin, Fijri Ahmad; Al-Ghiyats, Said; Dinda, Dinda; Putri, Nazirah Allisya
Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Volume 3 Issue No. 1: July 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v3i1.20264

Kegiatan pelatihan kepemimpinan mahasiswa memiliki peran penting dalam membentuk generasi yang tidak hanya unggul secara akademik, tetapi juga memiliki kapasitas kepemimpinan, inovasi, dan kontribusi nyata dalam organisasi. Artikel pengabdian ini membahas pelaksanaan Training Dasar Organisasi (TDO) HIMATIF Universitas Malikussaleh dengan tema “Beyond Coding: Penguatan Kepemimpinan, Inovasi, dan Kontribusi”. Kegiatan ini dilaksanakan pada 29 Mei 2025 di Gedung Jurusan Informatika Universitas Malikussaleh, dengan dukungan dosen pendamping dan kolaborasi penuh dari Himpunan Mahasiswa Teknik Informatika (HIMATIF). Metode pelaksanaan meliputi penyampaian materi, diskusi interaktif, simulasi kepemimpinan, serta penyusunan rencana tindak lanjut oleh peserta. Hasil kegiatan menunjukkan peningkatan signifikan dalam lima aspek utama, yaitu penguatan kepemimpinan, literasi digital, kemampuan berinovasi, solidaritas organisasi, serta perumusan rencana pengembangan HIMATIF yang lebih progresif. Kegiatan ini membuktikan bahwa penguatan kapasitas mahasiswa melalui pelatihan berbasis sinergi antara teknologi dan kepemimpinan mampu memberikan dampak positif bagi organisasi kemahasiswaan. Kegiatan TDO HIMATIF diharapkan dapat menjadi model berkelanjutan dalam pengembangan organisasi mahasiswa, sekaligus menjadi praktik baik dalam mempersiapkan mahasiswa Informatika agar lebih adaptif, kreatif, dan berkontribusi di era digital.

Implementasi Metode Double Exponential Smoothing untuk Prediksi Jumlah Kebutuhan Air di PDAM Tirta Mon Pase Nisak, Rahmatin; Hasibuan, Arnawan; Anshari, Said Fadlan; Dinata, Rozzi Kesuma; Fadlisyah, Fadlisyah
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5210

Clean water is an essential human need, yet its provision is frequently disrupted by demand uncertainty, as experienced by PDAM Tirta Mon Pase with recurring public complaints regarding water supply interruptions. This study aims to design and implement a water demand forecasting system using the Double Exponential Smoothing (Holt’s Linear Trend) method and to evaluate its accuracy. The research utilized monthly historical water production data from January 2022 to December 2024 (36 observations) obtained from PDAM Tirta Mon Pase. The model was applied with smoothing parameters α = 0.8 and β = 0.2, and accuracy was measured using Mean Absolute Percentage Error (MAPE). The results show a very high level of accuracy with an overall MAPE of 3.56% (2022: 4.18%; 2023: 3.91%; 2024: 2.65%), and the forecast predicts water demand in December 2027 will reach 1,131,071.39 m³. It can be concluded that the Double Exponential Smoothing method is highly accurate and effective for forecasting water demand at PDAM Tirta Mon Pase. The developed system is therefore strongly recommended for operational adoption as a strategic decision-support tool in water resource planning, production, and infrastructure development.

Penerapan Metode Naïve Bayes Dalam Sistem Rekomendasi Pemilihan Program Studi Pendidikan Tinggi Berbasis Website Suwanda, Rizki; Anshari, Said Fadlan; Fhonna, Rizky Putra; Setiawan, Tulus
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15858

Pemilihan program studi pendidikan tinggi merupakan keputusan penting yang berdampak pada arah karir dan pengembangan potensi siswa. Namun, banyak siswa mengalami kesulitan dalam menentukan pilihan yang sesuai dengan minat dan kemampuan akademik mereka. Dalam praktiknya, pemilihan program studi masih sering dilakukan secara subjektif tanpa dukungan data atau sistem yang dapat membantu proses pengambilan keputusan secara rasional dan terukur. Penelitian ini bertujuan untuk mengembangkan sebuah sistem rekomendasi berbasis metode Naïve Bayes yang mampu memberikan saran program studi kepada siswa berdasarkan data minat dan prestasi akademik. Metode Naïve Bayes dipilih karena mampu mengklasifikasikan data secara efisien dengan pendekatan probabilistik, meskipun asumsi antar atribut bersifat independen. Sistem ini diharapkan dapat menjadi alat bantu bagi siswa maupun pihak sekolah (seperti guru BK) dalam memberikan arahan akademik berbasis data. Tahapan penelitian dimulai dari studi literatur dan perancangan sistem, dilanjutkan dengan pengumpulan data berupa minat siswa dan nilai akademik, baik melalui dataset simulasi maupun data uji terbatas dari responden nyata. Data tersebut kemudian diproses dan digunakan untuk membangun model klasifikasi menggunakan algoritma Naïve Bayes. Selanjutnya, sistem diuji untuk mengukur akurasi dan efektivitasnya dalam memberikan rekomendasi program studi yang sesuai. Penelitian ini juga mencakup evaluasi sistem berdasarkan hasil klasifikasi serta analisis keterkaitan antara input (minat dan prestasi) dan output rekomendasi program studi.

Implementation Of AES Algorithm For Text Message Encryption And Decryption Process Sukiman, T. Sukma Achriadi; Sandy, Cut Lika Mestika; Meiyanti, Rini; Rizal, Reyhan Achmad; Anshari, Said Fadlan
Gameology and Multimedia Expert Vol. 3 No. 1 (2026): Gameology and Multimedia Expert - January 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i1.25923

In the development of secure digital communication, the Advanced Encryption Standard (AES) algorithm particularly the AES-128 variant plays a crucial role in maintaining the confidentiality and integrity of textual data transmitted over public networks. This study aims to design, implement, and analyze a web application prototype for the encryption and decryption process using the AES-128 algorithm based on the PyCryptodome library in the Python programming language, executed through the Flask framework. The developed system offers a simple user interface that allows users to input encryption keys and text, and obtain results in real time. Strict input length validation is applied to ensure that the cryptographic process runs optimally. Testing results show that AES-128 can be efficiently implemented in a lightweight web server environment, with fast processing time and high accuracy. Although the system uses ECB mode, which has known security weaknesses, the prototype is effective for small-scale text communication needs. This study also recommends further development using CBC mode and authentication features to enhance security.

Sistem Informasi Pelayanan Cuti Berbasis Web Pada PT Pupuk Iskandar Muda Menggunakan PHP dan MySQL Retno, Sujacka; Rosnita, Lidya; Anshari, Said Fadlan
TECHSI - Jurnal Teknik Informatika Vol. 14 No. 1 (2023)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v14i1.12076

Pada era-globalisasi ini teknologi informasi menjadi alat dasar yang dibutuhkan oleh setiap perusahaan yang ada. Dengan menggunakan teknologi informasi keakuratan dan kecepatan akses data akan lebih mudah di jalankan. PT Pupuk Iskandar Muda merupakan pabrik pupuk urea ke-11 di Indonesia dan pabrik ke-2 di Provinsi Aceh. Proses pengelolaan cuti pada PT Pupuk Iskandar Muda saat ini masih dilakukan secara manual. Proses pengelolaan cuti tersebut memiliki beberapa kelemahan. Karyawan tidak bisa mengetahui sisa hak cuti pribadi dan pengambilan cuti oleh rekan kerja secara langsung, sehingga karyawan tidak bisa melakukan manajemen cuti dengan baik.Pimpinan juga belum dapat mengambil keputusan cuti berdasarkan prinsip pemerataan hak cuti karyawan. Kelemahan yang lain adalah proses pengurusan cuti karyawan kurang efektif dan efesien. Dalam menyelesaikan masalah tersebut, penulis merancang sebuah sistem dengan menggunakan pemodelan ERD dan DFD, Personal Home Page (PHP) dan menggunakan basis data MySQL. Dengan adanya sistem pelayanan cuti di PT Pupuk Iskandar Muda ini, karyawan akan bisa lebih mudah untuk mengakses masalah percutian.

Comparison of Exponentially Weighted Moving Average and Triple Exponential Smoothing Methods for Cryptocurrency Price Forecasting sukma rizki; Zarayunizar Zarayunizar; Said Fadlan Anshari
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

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

Cryptocurrencies have rapidly become a prominent part of today's information landscape. Bitcoin (BTC), one of the first cryptocurrencies, was introduced by Satoshi Nakamoto, a pseudonym whose true identity remains unknown. Nakamoto is credited with creating the blockchain system that underpins Bitcoin. As technology has advanced, cryptocurrencies have evolved into digital currencies that can be used as a medium of exchange. This has garnered significant attention from investors, particularly due to the substantial fluctuations in cryptocurrency values over time. Therefore, choosing the right method for making investment decisions is crucial. This research compares two leading methods for cryptocurrency price forecasting: Exponentially Weighted Moving Average (EWMA) and Triple Exponential Smoothing (TES). Each method has its own strengths and weaknesses in forecasting. In this study, EWMA achieved an average MAPE score of 54% and an MSE of 1818, while TES recorded an average MAPE of 45% and an MSE of 11408. The results indicate that TES outperforms EWMA by a margin of approximately 10%. To assess the methods' effectiveness, evaluation metrics were applied, categorizing performance as excellent, good, feasible, or not feasible.

Co-Authors Al-Ghiyats, Said Ananda, Ria Angkasa, M. Ishlah Buana Arnawan Hasibuan Bustami Bustami Chan, Fajar Ricaldi Dahlan Abdullah Dani Ramdani Dinda, Dinda Fadlisyah Fadlisyah Fahrezi, Irgi Fanita, Fanita Hidayatsyah Hidayatsyah Husna, Nur Fazri Juliawati Khairi, Abil Lidya Rosnita Limbong, Hendra Putranta M Ishlah Buana Angkasa Maulana, O.K. Muhammad Majid Mhd Firza Ryzaaldy Muhammad Daud Muhammad Fikry Mukti Qamal Mukti Qamal Munirul Ula Nisak, Rahmatin Pohan, Fadlyani Putri, Nazirah Allisya Rini Meiyanti Rizal Rizal Rizal S.Si., M.IT, Rizal Rizal, Reyhan Achmad Rizki Suwanda Rizki, Agus Maula Rizki, Sukma Rizky Putra Fhonna Rozzi Kesuma Dinata Sahputra, Irfan Samudera, Brucel Duta Sandy, Cut Lika Mestika Sartika, Tiara Sudirman Sudirman Sujacka Retno Sukiman, T. Sukma Achriadi Sukma Rizki Syibral Malasyi, Syibral Tulus Setiawan Wardina Ningsih Yasin, Fijri Ahmad Zalfie Ardian Zara Yunizar Zarayunizar Zarayunizar

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