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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Sistemasi: Jurnal Sistem Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) METIK JURNAL Jurnal Informasi dan Teknologi Vocatech : Vocational Education and Technology Journal Jurnal Sosial Humaniora Sigli Jurnal Computer Science and Information Technology (CoSciTech) International Journal of Engineering, Science and Information Technology Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) TECHSI - Jurnal Teknik Informatika Journal of Information Technology (JINTECH) Jurnal Teknologi Terapan and Sains 4.0 Journal of Computer Engineering, Electronics and Information Technology Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika: Jurnal Pengembangan IT Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Malikussaleh Mengabdi Jurnal Ragam Pengabdian Teewan Journal Solutions Proceeding of The International Conference on Electrical Engineering and Informatics Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Muhammad Fikry
Teknik Informatika Universitas Malikussaleh
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ANALISIS METODE FUZZY SERVICE QUALITY PADA LAYANAN SISTEM INFORMASI AKADEMIK Aynun, Nur; Nurdin, Nurdin; Fajriana, Fajriana; Fikry, Muhammad
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6967

Abstract

Perguruan tinggi merupakan suatu organisasi yang menyediakan layanan sistem informasi akademik bagi mahasiswa, dimana layanan sistem informasi akademik tersebut tentunya harus dapat dianalisis. Institusi pendidikan tinggi tersebut adalah Universitas Malikussaleh, yang terletak di Lhokseumawe, sebuah kota di provinsi Aceh, Indonesia. Mahasiswa merupakan pengguna utama layanan perguruan tinggi Metode yang digunakan untuk mengetahui besar gap antara persepsi dan ekspetasi mahasiswa melalui pendekatan Service Quality yang dikombinasikan dengan teori Fuzzy untuk mengukur gap persepsi dan ekspetasi dari mahasiswa dengan tepat.  Dengan menggunakan metode Fuzzy Service Quality hasil penelitian menunjukkan bahwa secara keseluruhan semua item pernyataan memiliki nilai gap negatif. Nilai gap pada dimensi service quality yang tertinggi adalah pada dimensi pertama, Reliability, yaitu sebesar -1,04; kedua, Responsiveness yaitu sebesar -0,87; ketiga, Assurance yaitu sebesar -0,85; keempat, Empathy yaitu sebesar -0,79; dan kelima Tangiable yaitu sebesar -0,72. Hal ini menunjukkan bahwa kualitas pelayanan Sistem Informasi Akademik (SIAKAD) yang diberikan oleh pihak Universitas Malikussaleh masih belum mampu memenuhi harapan penggunanya dikarenakan sampel pada penelitian ini yang masih terbatas dan perlu melakukan perbaikan pada masing-masing dimensi pada service quality.
Development of an IoT-Based Smart Greenhouse with Fuzzy Logic for Chrysanthemum Cultivation Khairina, Jikti; Nurdin, Nurdin; Fikry , Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10313

Abstract

Conventional cultivation of Chrysanthemum plants in greenhouses faces serious challenges such as inefficiency, response delays, and errors in temperature and humidity settings due to manual management. These conditions result in unsuitable growing environments that can reduce the quality and quantity of harvests. To overcome these problems, this study developed a smart greenhouse system based on the Internet of Things (IoT) and cloud computing with the application of fuzzy logic. The system is designed to automatically monitor and control temperature, humidity, and light intensity using NodeMCU ESP32, DHT22 and BH1750 sensors, as well as relay-based actuators and mini air conditioners. Environmental data is sent to the cloud and processed using the Sugeno fuzzy method to produce adaptive and precise control decisions. Test results show that the system can maintain stable and optimal environmental conditions with an average temperature control difference of 30.341% and an actuator efficiency of 9.34% against microcontroller commands. This system provides a modern solution to the limitations of traditional methods, and supports smart agriculture in tropical climates such as Lhokseumawe.
SYSTEM FOR MONITORING CONSUMABLE WATER QUALITY BASED ON INTERNET OF THINGS Muhammad Sapriadi; Muhammad Fikry; Ar Razi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.3472

Abstract

Access to clean and consumable water is a critical factor for public health, but not all communities have the tools to monitor water quality in real-time. To address this issue, this study proposes the development and implementation of an Internet of Things (IoT)-based water quality monitoring system. The system is designed to measure key water quality parameters such as pH, Total Dissolved Solids (TDS), turbidity, and temperature, using an ESP32 microcontroller. This microcontroller is connected to a variety of sensors and integrated with the Blynk application, which allows users to monitor the data through their mobile devices. The system also incorporates a rule-based decision-making method that classifies the water as consumable or not, based on predetermined standards. The IoT-based system ensures smooth data transmission to the Blynk app, and the decision-making process is accurate and reliable. This system provides a practical and efficient solution for real-time water quality monitoring, especially for communities lacking advanced water quality monitoring tools. It enables users to assess water quality remotely, offering a significant improvement in public health monitoring and management.
The Correlation Of Factors Causing Divorce In Households Using The Apriori Data Mining Algorithm Amalia, Iklasni; Fikry, Muhammad; Asrianda, Asrianda; Khaidar, Al
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8518

Abstract

Mahkamah Syari’ah merupakan lembaga di bawah Mahkamah Agung yang mempunyai misi melayani masyarakat dalam urusan rumah tangga dan kesejahteraan hukum, termasuk perkara perceraian. Aceh Tengah merupakan salah satu kabupaten dengan tingkat percerain yang sangat tinggi yang ada di Aceh dan terus menerus meningkat setiap tahun nya . Tujuan dari penelitian ini guna untuk salah satu cara dalam mencegah terjadinya perceraian yang ada di kabupaten Aceh Tengah, dengan melihat faktor-faktor yang menyebabkan terjadinya perceraian di Aceh Tengah serta korelasi antar faktor terserbut, faktor-faktor yang dicari dibentuk dengan sebuah hubungan yang di sebut Association Rules. Association Rules meruapakan  salah satu metode yang bertujuan untuk mencari pola yang yang sering muncul diantara banyak nya faktor dari beberapa item.  Association Rules ini akan digunakan dalam algoritma Apriori sehingga dapat digunakan untuk mencari korelasi faktor-faktor penyebab perceraian di Aceh Tengah. penelitian ini menggunakan data perceraian yang ada Mahakamah Syari’ah Aceh Tengah pada tahun 2021.Penelitian ini diharapkan akan menghasilkan temuan yang bermanfaat dalam memberikan kontribusi positif bagi masyarakat dalam mencegah terjadinya perceraian yang ada di Aceh Tengah, selain itu diharapkan dapat membuka wawasan baru mengenai pemanfaatan teknik pembelajaran mesin dalam bidang permasalahan perkara-perkara gugatan
Implementation Of Single Moving Average In Gold Price Movement Analysis Muqarrabin, Khalis Al; Fikry, Muhammad; Asrianda, Asrianda; Khaidar, Al
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8519

Abstract

Penelitian ini didasarkan pada pentingnya prediksi harga emas sebagai salah satu komoditas yang memiliki volatilitas tinggi. Permasalahan yang diangkat adalah ketidakpastian pergerakan harga emas yang memerlukan metode peramalan yang sederhana namun efektif. Tujuan dari penelitian ini untuk memberikan wawasan lebih dalam tentang bagaimana SMA dapat digunakan dalam analisis pergerakan harga emas dan membantu investor dalam membuat stategi investasi yang lebih baik. Penelitian ini menggunakan metode Single Moving Average (SMA) untuk menganalisis pergerakan harga emas, dengan SMA dihitung berdasarkan rata-rata harga penutupan emas selama 5 dan 10 hari. Akurasi prediksi dievaluasi menggunakan Mean Absolute Error (MAE) dan Mean Squared Error (MSE) yang membandingkan hasil perhitungan SMA dengan harga emas aktual untuk menilai efektivitas metode ini. Hasil penelitian menunjukkan bahwa metode SMA cukup akurat dalam meramalkan tren harga emas jangka pendek, meskipun terdapat sedikit keterlambatan dalam respons terhadap perubahan harga yang mendadak. Metode SMA dapat menjadi alat peramalan yang sederhana dan efektif untuk tren harga emas, terutama untuk periode jangka pendek.
Public Sentiment Analysis on the November 2025 Flood Disaster in Aceh Using Natural Language Processing and Lexicon-Based Approach Erwanda, Ade Putra; Khaidar, Al; Asrianda, Asrianda; Fikry, Muhammad; Khaldun, Ibnu
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8481

Abstract

Bencana banjir yang melanda Provinsi Aceh pada November 2025 merupakan salah satu bencana hidrometeorologi besar yang berdampak luas terhadap kehidupan masyarakat. Banjir terjadi di 16 kabupaten/kota dan mengakibatkan hampir 120 ribu jiwa terdampak, puluhan ribu warga mengungsi, serta kerusakan signifikan pada permukiman dan infrastruktur. Peristiwa ini memicu respons publik yang masif di media sosial, khususnya Instagram. Penelitian ini bertujuan untuk menganalisis sentimen respons masyarakat terhadap bencana tersebut menggunakan pendekatan Natural Language Processing (NLP) berbasis lexicon. Data diperoleh melalui proses data crawling terhadap 2.790 komentar Instagram, yang selanjutnya diproses melalui tahapan text cleaning, case folding, tokenization, stopword removal, dan stemming. Hasil analisis menunjukkan dominasi sentimen positif sebesar 62,51%, diikuti sentimen netral 24,98% dan negatif 12,51%. Temuan ini menunjukkan adanya apresiasi, harapan, serta kritik masyarakat terhadap penanganan bencana, dan dapat menjadi bahan evaluasi bagi pemangku kebijakan dalam meningkatkan strategi penanganan dan komunikasi bencana berbasis data.
Implementation of Double Exponential Smoothing to Forecast the Number of Outpatient Visits at Arun Hospital Sembiring, Vivi Dista Br; Fikry, Muhammad; Asrianda, Asrianda
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8497

Abstract

Seiring peningkatan kesadaran masyarakat mengenai kesehatan bisa meningkatkan angka kunjungan di rumah sakit. Pasien yang berkunjung sangat bervariasi serta tidak bisa diprediksi tentu mengakibatkan rencana yang dibangun tidak efektif. Hal ini harus diantisipasi dengan memperkirakan atau memprediksi jumlah pasien yang berkunjung. Oleh karena itu, dalam penelitian ini dibangun sistem perkiraan jumlah kunjungan pasien rawat jalan dengan metode Double Exponential Smoothing. Penelitian ini dilakukan pada Rumah Sakit Arun serta data yang diambil dari 11 poliklinik yang ada pada rumah sakit dari Januari tahun 2020 hingga Desember 2023. Hasil dari penelitian ini ialah perkiraan pada poliklinik hemodialisis sebanyak 9 orang, poliklinik bedah 34 orang, poliklinik gigi dan mulut 6 orang, poliklinik jiwa 24 orang, poliklinik kesehatan anak 28 orang, poliklinik mata 24 orang, poliklinik obgyn ibu hamil 6 orang, poliklinik orthopedi 13 orang, poliklinik paru 34 orang, poliklinik penyakit dalam 39 orang, dan terakhir poliklinik syaraf 46 orang. Dengan hasil perhitungan rata-rata persentase error pada poliklinik hemodialisis selama setahun yaitu 0,90%.
Development of an Information Website as a Publication Medium for the Malikussaleh Airport Organizing Unit in Lhokseumawe Raihansyah, Khananda; Asrianda; Muhammad Fikry
Teewan Journal Solutions Vol. 2 No. 4 (2025): Desember
Publisher : Teewan Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/c8sdmf21

Abstract

Malikussaleh Airport currently uses social media such as Instagram to share information, which results in limited information accessibility for visitors regarding news, profiles, and airport activities. This study aimed to develop a website-based information system to facilitate employees in disseminating information and ease public access to updated airport news. The system was built using PHP programming language, MySQL database, and designed through Data Flow Diagrams (DFD). The implementation produced an informative and accessible platform that allows the airport management to provide transparent news, flight updates, and activity galleries. The results showed that the website effectively improved the information distribution process compared to previous social media-only methods.
Comparative Performance Analysis of Traditional (SFQ, PCQ) and Modern (FQ-CoDel, CAKE) Queuing Algorithms on MikroTik RouterOS v7 for Broadband Network QoS Optimization Maulana, OK Muhammad Majid; Asrianda; Muhammad Fikry
Teewan Journal Solutions Vol. 2 No. 4 (2025): Desember
Publisher : Teewan Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/8vbsxe71

Abstract

Bufferbloat in broadband networks often leads to high latency, which degrades the Quality of Experience (QoE), particularly for time-sensitive activities. MikroTik RouterOS v7 introduces modern Active Queue Management (AQM) algorithms, such as FQ-CoDel and CAKE, which are claimed to outperform traditional algorithms like SFQ and PCQ. This study aims to analyze and compare the performance of these four queuing algorithms in a single-link gateway scenario on a 35 Mbps internet service. The research methodology employs a quantitative experimental approach by saturating the network with heavy traffic. Quality of Service (QoS) parameters including throughput, delay, jitter, and packet loss—were measured based on TIPHON standards. The results indicate that modern algorithms maintain latency stability under full load significantly better than traditional ones. This study recommends the use of FQ-CoDel for resource efficiency and CAKE for maximum quality
Exploratory Data Analysis and Machine Learning Approaches for Early Detection of Student Depression Muhammad Fikry; Bustami Bustami; Ella Suzanna
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.31

Abstract

This study conducts an exploratory data analysis combined with machine learning techniques to identify early signs of student depression. We investigated various factors affecting mental health among students, including sleep duration, dietary patterns, history of suicidal thoughts, family history of mental illness, and their relationships with depression across age groups and academic pressure. The study also examined the influence of gender on academic stress levels. Three machine learning models such as Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) were utilized to predict depression. The performance of these models was evaluated, achieving accuracy rates of 84.97% for Random Forest, 84.85% for SVM, and 81.16% for KNN. The findings highlight the effectiveness of these models in predicting student depression and underscore the importance of targeted mental health interventions based on key factors influencing mental health among students.
Co-Authors Aldo januansyah. H Amalia, Iklasni Ananda, Silvia Angela, Angela Annisa Annisa Annisa Helmina Aprian Gigin Prasetia Ar Razi Ar Razi Asrianda Asrianda Aynun, Nur Ayunda Putri Azzahra Iskandar, Farah Budi Bahreisy Bustami Bustami Bustami Chrisnata Manihuruk Cut Ita Erliana Dahlan Abdullah David Fadlianda Dessayani Putri Dimas Pratama, Dimas Dyah Ika Rinawati Ella Suzanna Erwanda, Ade Putra Eva Darnila Fadlisyah Fadlisyah Fadlisyah Fadlisyah Fadlisyah Faiz Syukri Arta Faiz Fajar Rivaldi Chan Fajriana, Fajriana Faradilla, Cut Meutia Hadi Iskandar Hafiz Al Kautsar Aidilof Hafizh Al Kautsar Aidilof Hamdhana, Defry Hasan Tahir Helmi Naluri Herman Fithra Hidayatsyah Hidayatsyah Hizamrul jaen Hutagalung, Yorio Arwandi Wisdom Ibnu Khaldun Ida Wahyuni Ima Pratiwi Imam Rosadi Irfan Sahputra Iskandar, Fahra Azzahra Ismail Ismail Jikti Khairina Khaidar, Al Khairina, Jikti Kurnia Amanda, Destiara Kurniawati Kurniawati Lidya Rosnita Lutfi, Raihansyah Luthvy Ilhamdi M Ishlah Buana Angkasa M. Rafli Al Thoriq Mustafa Mahadika Luqman Maharani, Silfa Maksal Mina Mardiansyah, M Rizki Maulana, OK Muhammad Majid Mhd Firza Ryzaaldy Muchlis Abdul Muthalib Muhammad Al Imran Muhammad Dastur Muhammad Iqbal Muhammad Iqbal Muhammad Sapriadi Muhammad Yani, Muhammad Muhammad Zikri Mukhlis Mukhlis Mukti Qamal Muqarrabin, Khalis Al Nanda Nan Arif H Nazwa Aulia NELI SUSANTI, NELI Nunsina Nura Usrina Nurdin Nurdin nuryana nuryana, nuryana Rahma, Mutiara Raihansyah, Khananda Rifkial Iqwal Rini Meiyanti Risawandi, Risawandi Rizal S.Si., M.IT, Rizal Rizki Suwanda Romi Asmara Rozzi Kesuma Dinata Safwandi Safwandi Said Fadlan Anshari Salahuddin Salahuddin Saputra, Ferdy Sari, Cut Jora Sayed Fachrurrazi Sembiring, Vivi Dista Br Silfa Maharani Br Padang Subhan Hartanto Subhan Hartanto Sudirman Sudirman Sujacka Retno Sukma Rizki Tarigan, Anggun Kinanti Taufiq Taufiq Taufiqurrahman Taufiqurrahman Tejas Shinde Teuku Nabil Muhammad Dhuha Umar Khalil Utomo, Muhammad Fikri Wahdana, Aldi Wirda Syahrifa Yani, Muhamamd Yesy Afrillia Yesy Afrillia Yuli Safrina Yulinazira, Ulfa Yusriyana, Yusriyana Yusrizal Hasbi Zahratul Fitri Zara Yunizar Zara Yunizar zulfhazli zulfhazli