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All Journal International Journal of Advances in Applied Sciences IPTEKMA CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOIN (Jurnal Online Informatika) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Eksplora Informatika JMM (Jurnal Masyarakat Mandiri) JURIKOM (Jurnal Riset Komputer) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Global Science Society Journal Of Information And Technology Unimor (JITU) Jurnal Minfo Polgan (JMP) Jurnal Energi Elektrik AMMA : Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika: Jurnal Pengembangan IT JURUTERA (Jurnal Umum Teknik Terapan) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Akram, Rizalul
Program Studi Informatika , Universitas Samudra
Religion Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Sistem Pakar Diagnosa Penyakit Pada Kucing Anggora Menggunakan Metode Fuzzy Mamdani Berbasis Website Nur Aynun Siregar; Rizalul Akram; Nurul Fadillah
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 2 (2023): Volume 1 Number 2 April 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v1i2.30

Abstract

Cats are the most popular mammals for many people, such as the Angora cat. Cat lovers don't look at age, most of these cats are liked by all people so it's not uncommon for cats to be found everywhere. The Angora cat has a beautiful physique with fur and a cute face. So it's not uncommon for the Angora cat to become the most preferred charmer of hearts. This hobby of keeping cats is not only seen from their stature but must be accompanied by their health. Some of the diseases that are often suffered by Angora cats include Feline Calicivirus, Helminthiasus, Dermatopytosis, Conjunctivitis, and Toxoplasmosis. This expert system is used by carers to diagnose early disease in Angora cats based on the symptoms experienced by cats and to help provide information about the cat's disease. Research data using laboratory tests, interviews and documentation were then processed using the Fuzzy Mamdani method and research design with UML which was designed in a use case diagram model to describe system activity. The stages are forming the Fuzzy Mamdani set, determining the rules, and defuzzification. The test results with 46 symptoms from 5 types of disease with an accuracy value of this system is 90.90%. The result of this research is that the system can help Anggora lovers from an early age to find out what are the symptoms of various types of cat diseases, as well as solutions to overcome them and can consult a doctor before proceeding to a more advanced stage.
Identification of Facial Wrinkles using Gabor Filters and the Naïve Bayes Algorithm Munawir Munawir; Siti Rafah Sa`dia Harahap; Rizalul Akram
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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

Abstract

Facial Wrinkles are one of the key indicators in identifying signs of aging on the skin. Detecting facial wrinkles poses a challenge in image processing due to their complex, coarse texture, which is often difficult for computers to recognize, especially under varying lighting conditions, camera angles, and facial expressions. This study focuses on the application of features using Gabor Filters for the texture feature extraction, with the final results determined by the Naïve Bayes classification algoritm. In this study, 200 facial images were used, divided into two clases, with 100 images per class serving as training data. For the test data, 100 facial images were used, consisting of 50 wrinkled facial images and 50 non-wrinkled facial images. Based on the test result using the Confusion Matrix, the accuracy was 74%, precision 80%, recall 64% and F1-Score 71%. These results indicate that the combination of Gabor filters and Naïve Bayes is quite effective in recognizing wrinkle patterns on the face based on extracted texture feature, and can serve as a faoundation for developing more accurate facial wrinkle detection systems in the future.
PENERAPAN APLIKASI PENGELOLAAN BUMG DALAM MENINGKATKAN PAG DI GAMPONG LEUGE KABUPATEN ACEH TIMUR Novianda; Rizalul Akram; Dewiyana
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 3 No 3 (2025): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v3i3.13531

Abstract

The Village-Owned Enterprise (BUMG) is an economic institution owned and managed by the village of Leuge. The purpose of this service is to improve the welfare of the village community by using the BUMG application to make work more efficient and effective. The methods used were the Pre-Activity Stage, which involved socialization; the Ongoing Activity Stage, which involved the implementation of the BUMG application; and the Post-Activity Stage. The results of the evaluation show that the percentage of application utilization, in terms of ease of data modification, increased from 76% to 87%, while the reporting system increased from 80% to 90%, and ease of application use increased significantly from 40% to 86%. Activities involving monitoring and guidance on the results of this activity include scientific publications in accredited national journals, online media publications, YouTube videos, and the skills and knowledge acquired by the community participating in PKM activities.
PENERAPAN TEKNOLOGI OTOMATIS PASTEURISASI SUSU KAMBING DENGAN VARIAN RASA UNTUK MENINGKATAKAN DAYA KONSUMSI PADA SISWA Novianda Novianda; Rizalul Akram; Fadhliani Fadhliani; Rahmansyah S; Auliyah Balqis Ananta; Lindu Tsunami
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 6 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i6.35257

Abstract

Abstrak: Susu kambing merupakan salah satu susu terbaik yang dihasilkan hewan, dapat dikonsumsi langsung atau dimasak, namun terdapat masalah ketika proses pemerahan dan susu mudah basi. Tujuan Pengabdian mengatasi permasalahan tersebut. Metode pelaksanaan dilakukan 4 tahap yaitu, pertama tahap pra kegiatan dilakukan sosialisasi dan analisis permasalahan mitra, kedua tahap pelaksanaan dilakukan workshop dan diskusi mengajarkan mitra cara peggunaan mesin pasteurisasi untuk produksi susu dengan suhu 65 OC dan memberikan varian rasa, ketiga tahap evaluasi dilakukan peningkatan Soft Skill mitra, ke empat tahap monitoring aktifitas produksi. Mitra pengabdian terdiri dari 2 kelompok yaitu mitra peternak etawa berjumlah 10 orang dan mitra Sekolah Madrasah Tsanawiyah Negeri 1 Aceh Tamiang berjumlah 35 orang. Hasil peningkatan yang telah tercapai dalam kegiatan yaitu aspek produksi yang sebelumnya 75% meningkat menjadi 85%, aspek manajemen usaha dan pemasaran sebelumnya 80% meningkat menjadi 87% dan testimoni hasil produksi susu kepada siswa sekolah sebelumnya 75% meningkat menjadi 90%.Abstract: Goat milk is one of the best types of milk produced by animals. It can be consumed directly or cooked, but there are problems with the milking process and the milk spoils easily. The purpose of the community service program is to address these issues. The implementation method consists of four stages. The first stage is a pre-activity stage, which involves socialization and analysis of the partner's problems, The second stage involved workshops and discussions teaching partners how to use pasteurization machines for milk production at a temperature of 65°C and providing flavor variants, The third stage of evaluation involved improving the soft skills of partners, while the fourth stage involved monitoring production activities. The partners consisted of two groups, namely 10 Etawa goat farmers and 35 students from Madrasah Tsanawiyah Negeri 1 Aceh Tamiang. The improvements achieved in these activities include an increase in production from 75% to 85%, an increase in business management and marketing from 80% to 87%, and an increase in student testimonials on milk production from 75% to 90%.
Penerapan PAM Clustering untuk Analisis Pola dan Optimasi Pemesanan Tiket Angkutan Umum syaffina Amalia Ash'ari; Liza Fitria; Rizalul Akram
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10031

Abstract

This study aims to analyze bus and minibus (Hiace) ticket booking patterns using the Partitioning Around Medoids (PAM) clustering method to support the optimization of public transportation operations. Managing fleet allocation and departure schedules is crucial for maintaining operational efficiency due to varying passenger mobility. This research applies the Knowledge Discovery in Databases (KDD) framework to analyze historical booking data obtained from the Transportation Agency of Aceh Tamiang Regency. The systematic stages include data selection, preprocessing, data transformation, application of the PAM algorithm, and comprehensive evaluation of the clustering results. A total of 76 transaction data records covering 15 main travel routes were analyzed and grouped into three distinct clusters based on booking frequency: stable-demand, high-demand, and very high-demand clusters. The evaluation results demonstrate that the PAM algorithm successfully identifies specific demand patterns across different routes with a Total Cost value of 2.0, indicating a highly stable and well-structured clustering outcome. Furthermore, this model is integrated into a desktop-based system to facilitate efficient data processing. Ultimately, the findings provide valuable insights into passenger demand characteristics for each route, which can actively support strategic decision-making in scheduling, effective fleet allocation, and overall service management improvement.
Co-Authors Abdul L. Mawardi Ade Zulkarnain Hasibuan Ahmad Ihsan Ahmad Ihsan al-azizi, khalid mahfudh Anam, M Khairul Asmita, Tesa Atmaja, Teuku Hadi Wibowo Auliyah Balqis Ananta Cut, Banta Dela Fitria Dewiyana Fadhliani Fadhliani Farid Syaumi Rizki Ginting Ginda M. A. Siregar Hapzi Ali Irwanda Syahputra Khairul Muttaqin Lindu Tsunami Liza Fitria Marhamah Muhammad Farid Fitriansyah Muhammad Khalid Muhammad Zaki Munawir Munawir Munawir Munawir Munawir Nanda, Novianda Nanda Novianda Novianda . Novianda Novianda Novianda Novianda Novianda Novianda Nur Aynun Siregar Nur Halimah Nurul Fadillah Pangestu, M Ridho Rahmansyah S Rozzi Kesuma Dinata Salsabila, Unik Hanifah Seri Rati Siti Rafah Sa`dia Harahap SRI WULANDARI syaffina Amalia Ash'ari Tesa Asmita Asmita Thoriq, Thoriq Thoriq wibowo atmaja, teuku Hadi Yona Fransiska Dewi Yulida Amri