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All Journal SAMUDERA Infotech Journal Info-Teknik RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi JURIKOM (Jurnal Riset Komputer) Jurnal Informasi dan Teknologi Jurnal Sosial Humaniora Sigli Jatilima : Jurnal Multimedia Dan Teknologi Informasi Infotek : Jurnal Informatika dan Teknologi Jurnal Teknik Informatika (JUTIF) JUTECH : Journal Education and Technology ARRUS Journal of Engineering and Technology Instal : Jurnal Komputer Jurnal Ilmu Komputer dan Informatika TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Information Technology (JINTECH) Jurnal Teknologi Terapan and Sains 4.0 Journal Of Artificial Intelligence And Software Engineering Journal of Innovative and Creativity Journal of Tourism Sciences, Technology and Industry Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Solusi Masyarakat (JSM) INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Teewan Journal Solutions Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) ITEJ (Information Technology Engineering Journals) Jurnal Nasional Komputasi dan Teknologi Informasi
Asrianda Asrianda
Universitas Malikusaleh
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Review AHP dalam Fenomena Gelumbung Ekonomi Asrianda Asrianda; Hafizh Al Kautsar Aidilof; Lidya Rosnita; Zulfadli Zulfadli
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.v14i1.12588

Abstract

Keinginan memperoleh keuntungan didasarkan pada sifat kerakusan pada diri seseorang sehingga harga komoditas tidak akan turun dan semakin naik, kosekuensinya masyarakat berusaha untuk memiliki barang sebanyak mungkin sehingga harga naik dan mendapat keuntungan yang banyak. Mencari penyebab alasan menurun minat masyarakat terhadap barang akibat gembung ekonomi yang ada dipasaran. AHP menggabungkan pertimbangan dan penilaian pribadi dengan cara yang logis dan dipengaruhi imajinasi, pengalaman, dan pengetahuan untuk menyusun hierarki dari suatu masalah yang berdasarkan logika, intuisi dan juga pengalaman untuk memberikan pertimbangan. Dari hasil perhitungan menggunakan metode AHP dapat diambil kesimpulan bahwa minat tren gelumbung ekonimi dimasyarakat Aceh khususnya Lhokseumawe disebakan oleh nilai seni dari barang yang menjadi minat dimasyarakat. Dengan perhitungan yang tersebut sesuai dengan hasil penilaian responden yang telah peneliti lakukan menggunakan metode AHP.
IMPLEMENTASI MACHINE LEARNING UNTUK PREDIKSI PENGELUARAN KEUANGAN BERDASARKAN POLA EKSTERNAL DAN INTERNAL (SEASONALITY, KEGIATAN RUTIN & INSIDENTIL) STUDI KASUS: FAKULTAS TEKNIK UNIVERSITAS ALMUSLIM Siti Hajar; Asrianda Asrianda; Muhammad Fikry
JUTECH : Journal Education and Technology Vol 6, No 2 (2025): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i2.6008

Abstract

Perencanaan anggaran yang akurat merupakan faktor penting dalam pengelolaan keuangan perguruan tinggi. Fakultas Teknik Universitas Almuslim menghadapi fluktuasi pengeluaran yang dipengaruhi oleh pola internal dan eksternal, seperti seasonality, kegiatan rutin akademik, serta kegiatan insidentil. Penelitian ini bertujuan untuk mengimplementasikan metode machine learning dalam memprediksi pengeluaran keuangan fakultas berdasarkan pola-pola tersebut. Data historis pengeluaran keuangan pada anggaran tahun 2021 – 2025 digunakan sebagai dataset, yang dikombinasikan dengan variabel waktu dan jenis kegiatan. Tahapan penelitian meliputi preprocessing data, pemodelan, serta evaluasi kinerja model menggunakan metrik kesalahan prediksi. Hasil penelitian menunjukkan bahwa model machine learning mampu menghasilkan prediksi pengeluaran yang lebih akurat dibandingkan metode perencanaan konvensional. Model prediksi ini diharapkan dapat menjadi alat bantu pengambilan keputusan dalam penyusunan anggaran, meningkatkan efisiensi pengelolaan keuangan, serta mendukung penerapan data-driven decision making di lingkungan Fakultas Teknik.
Implementation of a Hybrid Fuzzy SAW and Particle Swarm Optimization Algorithm for a Dynamic Laptop Recommendation System Based on User Preferences Wildi Amalia; Asrianda; Fajriana
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/nqkpbg48

Abstract

Recommendation systems often struggle to balance personalization with fairness, particularly in addressing the marginalization of minority brands caused by data and algorithmic biases. This study tackles that challenge by developing a dynamic laptop recommendation system tailored to user preferences, leveraging a hybrid algorithm that combines Fuzzy Simple Additive Weighting (Fuzzy SAW) and Particle Swarm Optimization (PSO). Fuzzy SAW is employed to manage uncertainties in subjective preferences such as budget and intended use, while PSO dynamically optimizes the weight of each criterion to enhance personalization. Evaluation was conducted using primary data from 27 respondents in Lhokseumawe, Aceh, collected via surveys and interviews, alongside secondary data on laptop specifications retrieved from the Tokopedia API. The resulting match accuracy reached 74.1%, with Asus accounting for 85.0% of the successful recommendations. In contrast, brands like Lenovo and Advan were significantly underrepresented, underscoring the system’s limited sensitivity to minority brands. This research contributes to the field of recommendation systems by empirically demonstrating the trade-off between optimization and fairness, as well as proposing strategies to mitigate algorithmic bias. Practical implications include better-informed user decisions and fairer brand exposure for e-commerce platforms. Future improvements will focus on expanding data sources and refining PSO parameter tuning to better accommodate underrepresented brands.  
Evaluation of Support Vector Machines and Adaptive Boosting in Classifying the Compliance Levels of Property and Building Taxpayers Using Receiver Operating Characteristic (ROC) Saumina Saumina; Munirul Ula; Asrianda Asrianda
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13643

Abstract

Taxpayer compliance is a critical factor in increasing Property Tax (PBB) revenue. A low level of compliance can reduce local government revenue, making accurate classification methods essential for identifying taxpayer compliance. This study aims to compare the performance of Support Vector Machine (SVM) and Adaptive Boosting (AdaBoost) in classifying property taxpayer compliance. The dataset consisted of 58,998 property tax records collected from Lhokseumawe City, covering the districts of Banda Sakti, Blang Mangat, Muara Dua, and Muara Satu. The research stages included data preprocessing, label encoding, Min–Max normalization, data splitting using 80:20 and 70:30 scenarios, model training, and performance evaluation using accuracy, precision, recall, F1-score, and Area Under the Curve (AUC). Under the 80:20 data split, SVM achieved an accuracy of 92.89%, precision of 93.12%, recall of 98.81%, F1-score of 95.87%, and AUC of 80.59%, while AdaBoost achieved an accuracy of 92.86%, precision of 93.11%, recall of 98.78%, F1-score of 95.86%, and AUC of 80.76%. Under the 70:30 data split, SVM achieved an accuracy of 93.02%, precision of 93.18%, recall of 98.90%, F1-score of 95.95%, and AUC of 80.32%, whereas AdaBoost achieved an accuracy of 92.99%, precision of 93.18%, recall of 98.87%, F1-score of 95.93%, and AUC of 80.97%. Overall, both methods demonstrated comparable classification performance, while AdaBoost exhibited slightly better discriminative capability based on the AUC values.
Performance Comparison of Point-to-Point and Point-to-Multipoint Fiber Optic Networks Using QoS Parameters and the Analytical Hierarchy Process (AHP) Husni Husni; Taufiq Taufiq; Defry Hamdhana; Muhammad Daud; Asrianda Asrianda
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13728

Abstract

The rapid growth of internet traffic in Indonesia, including in Aceh Province, requires an optical fiber network infrastructure that is both efficient and reliable. Two fundamental architectures, Point-to-Point (P2P) and Point-to-Multipoint (P2MP), offer different trade-offs between service quality and cost efficiency, yet a quantitative comparison that combines Quality of Service (QoS) measurement with a structured multi-criteria decision-making method remains limited. This study experimentally measures the throughput, delay, jitter, packet loss, and bandwidth of P2P and P2MP networks implemented at Universitas Almuslim, Bireuen, Aceh, using iPerf3 and Wireshark under varying client loads of 1, 2, 4, 8, and 16 users, and applies the Analytical Hierarchy Process (AHP) to weight the QoS criteria and rank the two architectures. The results show that P2P consistently outperforms P2MP on every QoS parameter, maintaining an average throughput of 95 Mbps, a delay of 2.68 ms, a jitter of 0.85 ms, a packet loss of 0.054%, and a fixed bandwidth of 100 Mbps, whereas P2MP degrades progressively as the number of users increases. AHP weighting identified throughput as the most influential criterion (0.50), followed by bandwidth (0.26), delay (0.13), jitter (0.07), and packet loss (0.03), with a Consistency Ratio of 0.054, confirming that the pairwise judgments were consistent. The resulting AHP scores were 9.00 for P2P and 2.66 for P2MP, indicating that P2P is the more optimal architecture for QoS-sensitive deployments, while P2MP remains advantageous where cost efficiency and wide coverage are prioritized.
Analisis Kesiapan Infrastruktur Teknologi Informasi Rumah Sakit dalam Mendukung Layanan Digital Berdasarkan COBIT 2019 dan ITIL 4 Natasya Faresya; Muhammad Fikry; Asrianda
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 1 (2026): Februari, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.231

Abstract

Abstrak - Transformasi digital di sektor kesehatan mendorong rumah sakit untuk mengimplementasikan berbagai layanan digital guna meningkatkan kualitas pelayanan dan efisiensi operasional. Keberhasilan implementasi layanan digital sangat bergantung pada kesiapan infrastruktur teknologi informasi yang mencakup aspek tata kelola dan manajemen layanan TI. Penelitian ini bertujuan untuk menganalisis kesiapan infrastruktur teknologi informasi dalam mendukung implementasi layanan digital rumah sakit menggunakan kerangka kerja COBIT 2019 dan ITIL 4. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan desain studi kasus, melalui pengumpulan data berupa wawancara, observasi, dan studi dokumentasi. Analisis dilakukan dengan memetakan kondisi eksisting infrastruktur TI rumah sakit terhadap domain dan praktik yang relevan pada COBIT 2019 serta praktik manajemen layanan pada ITIL 4. Hasil penelitian menunjukkan bahwa secara umum infrastruktur teknologi informasi rumah sakit berada pada tingkat kesiapan yang cukup untuk mendukung layanan digital, namun masih terdapat beberapa aspek yang perlu ditingkatkan, khususnya pada pengelolaan layanan, pengendalian risiko, dan penyelarasan antara TI dan kebutuhan bisnis. Penelitian ini diharapkan dapat menjadi acuan bagi manajemen rumah sakit dalam merumuskan strategi peningkatan kesiapan infrastruktur TI secara berkelanjutan. Kata kunci: Kesiapan Infrastruktur TI; Layanan Digital Rumah Sakit; COBIT 2019; ITIL 4; Abstract - Digital transformation in the healthcare sector encourages hospitals to implement various digital services in order to improve service quality and operational efficiency. The success of digital service implementation is highly dependent on the readiness of information technology infrastructure, which includes aspects of IT governance and IT service management. This study aims to analyze the readiness of information technology infrastructure in supporting the implementation of digital hospital services using the COBIT 2019 and ITIL 4 frameworks. This research employs a qualitative approach with a case study design, where data are collected through interviews, observations, and document analysis. The analysis is conducted by mapping the existing conditions of the hospital’s IT infrastructure to the relevant domains of COBIT 2019 and the service management practices of ITIL 4. The results indicate that, in general, the hospital’s information technology infrastructure demonstrates an adequate level of readiness to support digital services. However, several aspects still require improvement, particularly in IT service management, risk control, and alignment between information technology and business needs. This study is expected to serve as a reference for hospital management in formulating strategies to enhance IT infrastructure readiness in a sustainable manner. Keywords: IT Infrastructure Readiness; Digital Hospital Services; COBIT 2019; ITIL 4;
Penguatan Kompetensi Pelatih Silat Perisai Diri melalui Pendekatan Reflektif dalam Ujian Kenaikan Tingkat Asrianda Asrianda; Padmono Wibowo; Nasrul ZA; Fadlisyah Fadlisyah; Kurniawati Kurniawati; Nirzalin Nirzalin
Jurnal Solusi Masyarakat (JSM) Vol. 4 No. 2 (2026)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jsm.v4i2.29599

Abstract

This Community Service Program (CSP) aims to strengthen pre-service teachers’ competence in implementing local wisdom-based learning at Madrasah. The program responds to the gap between pre-service teachers’ knowledge of Acehnese local wisdom and their ability to transform cultural values into contextual and meaningful learning experiences. A participatory and experiential learning approach was employed through five stages: needs assessment, competency strengthening, instructional design, microteaching, and supervised classroom practice, followed by reflection and mentoring. Program activities focused on strengthening local wisdom literacy, pedagogical content knowledge, instructional design, teaching practice, and reflective competence. Participants were trained to identify educational values embedded in local wisdom, including Hadih Maja, meuseuraya, respect for parents and teachers, and traditions of deliberation, and integrate these values into learning objectives, materials, activities, methods, and assessment. Program effectiveness was evaluated through pre-test and post-test comparisons, teaching-performance observation, assessment of instructional products, and participant reflection. The expected outcomes include improved pedagogical competence, practical instructional skills, and the production of contextual learning materials. The program also promotes a sustainable model through a local wisdom-based learning resource bank and community of practice. The program seeks to develop culturally responsive pre-service teachers capable of transforming local wisdom into authentic and meaningful learning experiences.
Co-Authors Aidilof, Hafizh Al-Kausar Aidilof, Hafizh Al-Kautsar Amalia, Iklasni Amalia, Wildi Ar Razi Ardi Wirya Indarto Armaya, Devira Yuda Aulia Rachman Azmi, Win Damayanti, Ita Defry Hamdhana Delianda, Anggun Diqti, Fadillah Fauziah Erwanda, Ade Putra Eva Darnila Fadlisyah Fadlisyah Fadlisyah Fajriana Fajriana - - Fajriana Fajriana3 Fajriana, Fajriana Faresya, Natasya Fyanda, Dwi Auji Gunarwan Gunarwan Gunarwan, Gunarwan Hafizh Al Kautsar Aidilof Herman Fithra Herman Mawengkang Husni Husni Ibnu Khaldun Ine Ine Satiannur Jange, Beno Jannah, Rauzatul K. M. Nasution , Mahyuddin Kamaruddin Hasan Kautsar, Al Khaidar, Al Kurniawati Kurniawati Kurniawati Kurniawati Kurniawati Lidya Rosnita Maksal Mina Mardhatillah, Mardhatillah Maryana Maulana, OK Muhammad Majid muhammad al abrour Muhammad Azhari Muhammad Daud Muhammad Fahri Al Fikri Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Fikry - Muhammad Fikry Munadila, Aura Munirul Ula Muqarrabin, Khalis Al Mutammimul Ula Nasrul ZA Nasrul ZA Nasrul ZA, Nasrul Natasya Faresya Nirzalin Nirzalin Nurdin Nurdin Padmono Wibowo Panggabean, Pitra Rahmadani Patmono Wibowo Poltak Sihombing Pratiwi, Dinda Putri, Sri Raihan Rachmat Triandi Tjahjanto Rahayu, Lolia Lusiana Rahmat Hidayat Rahmat Hidayat Rahmat Triandi Rahmatillah, Siska Yuna Raihansyah, Khananda Ramadhani - Ramadhani Rauzana - Rauzana Rauzatul Jannah Razi, Ar Rini Meiyanti Risawandi, Risawandi Rizka Mardiah Putri Buyung Lubis Rozzi Kesuma Dinata Saputri, Rifa Andriani Saumina Saumina Sembiring, Vivi Dista Br Siti Hajar Siti Wahyuni Siti Wahyuni Sujacka Retno Sujacka Retno Sujacka Retno Sylva Putri Utari Taufiq Taufiq Teuku Ferynanda Ramadhan Teuku Nabil Muhammad Dhuha Utari, Sylva Putri Wahdana, Aldi Wibowo, Patmono Wildi Amalia Winaldi Ken Aulia Yesy Afrillia ZA , Nasrul Zahratul Fitri Zahratul Fitri, Zahratul Zulfadl, Zulfadl Zulfadli Zulfadli Zulfadli Zulfadli Zulfadli