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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Teknika Infotech Journal IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) BUANA SAINS Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Cenderabakti: Jurnal Pengabdian Kepada Masyarakat Jurnal Inovatif Wira Wacana Jurnal Malikussaleh Mengabdi
Razi, Ar
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Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Public Health Social Sciences Other

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Decision Support System for Determining Disease and Pest Handling in Chili Plants Using WP and VIKOR Methods Jalila, Muhammad Mulkan; Fuadi, Wahyu; Razi, Ar
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

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

Abstract

Abstract— Chili plants are an important horticultural commodity that plays a major role in the agricultural and economic sectors of Indonesia. However, the high risk of pest and disease attacks is a major challenge for farmers in increasing productivity. Many farmers have difficulty in determining the right handling strategy, so technology-based solutions are needed to assist the decision-making process. This study developed a Decision Support System (DSS) for handling diseases and pests in chili plants using two methods, namely Weighted Product (WP) and VIšekriterijumsko Kompromisno Rangiranje (VIKOR). The WP method is used to calculate attribute assessments by multiplication, where each criterion is weighted according to its level of importance. The final results show that the best alternative is fusarium wilt disease (Fusarium oxysporum) with code A2, having a vector score of 0.09899. In the VIKOR method, the alternative with the lowest Qi index value is considered the best solution. Alternative A2 is again ranked at the top with a Qi value of 0. The process of developing this DSS involves identifying disease and pest symptom criteria, normalizing the decision matrix, and calculating the ideal solution for each alternative. This approach has proven effective in providing accurate recommendations and helping farmers choose the most optimal management strategy. By utilizing WP and VIKOR-based SPK, it is hoped that chili farmers can increase efficiency in identifying and overcoming plant disorders, so that agricultural productivity can increase significantly.
Application of Linear Discriminant Analysis Method With Gray Level Cooccurrence Matrix Method for Classification of Lung Disease Diagnosis Based on X-Ray Results Nuriana, Nuriana; Fitri, Zahratul; Razi, Ar
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9908

Abstract

This study aims to classify lung diseases from X-ray images using a combination of Gray Level Cooccurrence Matrix (GLCM) and Linear Discriminant Analysis (LDA) methods. GLCM was used to extract texture features such as contrast, correlation, energy, and homogeneity from 300 lung X-ray images representing four categories: Normal, Pneumonia, Tuberculosis, and Bronchitis. The LDA method was then applied for classification based on these features. The results showed that Tuberculosis had the highest classification accuracy at 80%, while the overall model accuracy was 61.67%. Evaluation using precision, recall, F1-score, and confusion matrix confirmed that the GLCM and LDA combination performed best in identifying tuberculosis cases. However, overlapping features between Normal, Bronchitis, and Pneumonia classes reduced the classification performance. These findings suggest that the proposed method provides promising results and could be improved further with advanced feature extraction or classification techniques.
ANALISIS SIFAT MEKANIK DAN TERMAL PADA REAKTOR BIODIESEL DENGAN MENGGUNAKAN METODE FINITE ELEMENT ANALYSIS (FEA) Fikri, Ahmad; Muarif, Agam; Razi, Ar; Syahrani, Irma; Ashari, Muhammad Rayhan
BUANA SAINS Vol 25, No 2 (2025)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/bs.v25i2.6281

Abstract

This study aims to analyze and evaluate the Structural and Thermal Performance of a Biodiesel Reactor using Finite Element Analysis (FEA) simulation. The reactor was designed using Autodesk Fusion 360 and simulated under various static pressure conditions (10, 40, 100, 150, and 170 bar) and thermal loads (27, 100, 500, 1000, and 1600°C) using three stainless steel materials: AISI 202, AISI 304, and 316L. The results indicate that the maximum allowable operational pressure for SS 316L and AISI 405 is 40 bar, with corresponding deformations of 68×10⁻³ mm, 62×10⁻³ mm, and 64×10⁻³ mm respectively. Stress and deformation values showed a direct correlation with applied pressure. Thermal analysis revealed thermal gradients ranging from 2×10⁻³ to 100×10⁻³ (°C)/mm and heat flux values between 2.72×10⁻⁵ and 200×10⁻⁵ W/mm across all materials. The study demonstrates that increasing external temperature directly enhances both thermal gradient and heat flux distribution throughout the reactor structure..
Design and Implementation of a Digital Marketing Technology Innovation Application (E-Commerce) in Coffee and Derivative Product Marketing to Increase the Income of Coffee Farmers and Entrepreneurs Yulisda, Desvina; Razi, Ar; Muliana, Erna
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 3 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i3.134255

Abstract

The most prominent coffee-producing regions in Indonesia are Central Aceh and Bener Meriah Regencies, situated within the Gayo Highlands. Presently, a considerable proportion of coffee farmers and local communities remain unaware of the potential value of high-value coffee derivatives. Furthermore, many lack the requisite skills to utilise technology, particularly in the context of agricultural technology innovations that could facilitate the marketing of coffee products and coffee-based derivatives. This agricultural technology innovation pertains to digital marketing, encompassing both desktop and mobile-based platforms, which collectively constitute e-commerce. Some studies have explored the theme of e-commerce for coffee products, but the products sold are predominantly limited to coffee beans and ground coffee. This suggests a dearth of knowledge and interest among farmers and communities in developing coffee-based innovations such as beauty products, food ingredients, coffee oil, coffee charcoal, and others. This research project aims to develop an e-commerce application for the marketing of agricultural products, to increase the knowledge and income of farmers and communities from coffee and its derivatives through the use of a mobile application, and to include expert consultation features in the aforementioned e-commerce application. The methodology employed in this research is a literature review and system development using the waterfall model, beginning with analysis and concluding with system maintenance. The result of this study is an e-commerce application for the marketing of coffee and its derivative products.
The Implementation of Web-Based Paperless Office Technology in the Final Project Information System at the Faculty of Engineering, Malikussaleh University Razi, Ar; Yulisda, Desvina; Anshar, Khairul; Fikri, Ahmad
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 3 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i3.134256

Abstract

The final project information system application, often known as the final project management system, is a digital tool designed to assist the management and reporting process related to students' final projects. This system includes various features that can assist lecturers, students, and academic staff in various aspects of the final project process. This application allows students to submit their final project proposals, including uploading required documents such as study plans, final project proposals, and thesis reports. In addition, lecturers can also utilize features that allow lecturers to input grades and provide minutes for final project proposals submitted by students. This information system also allows the final project coordinator to manage the final project trial schedule, including scheduling and canceling schedules. In addition, the final project information system makes it easier to manage final project data, including student data, title data, and supervisor data. This facilitates the process of searching for titles and assigning supervisors, as well as speeding up the title validation process.
Penyuluhan Pemanfaatan Ekstrak Nikotin dari Limbah Puntung Rokok sebagai Bahan Pembuatan Insektisida di Desa Kenine, Bener Meriah Muarif, Agam; Fikri, Ahmad; Yulisda, Desvina; Razi, Ar; Mulyawan, Rizka; Zulnazri, Zulnazri; Nurlaila, Rizka; Amalia, Nabila; Ashari, Muhammad Rayhan
Jurnal Malikussaleh Mengabdi Vol. 3 No. 1 (2024): Jurnal Malikussaleh Mengabdi, April 2024
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v3i1.15648

Abstract

Puntung rokok mengandung beberapa senyawa kimia seperti hidrokarbon aromatik polisiklik, nikotin, logam berat dan arsenik yang dapat menjadi penyebab terjadinya pencemaran lingkungan. Nikotin yang terkandung dalam puntung rokok tergolong senyawa alkaloid utama yang aktif dan dapat mengendalikan beberapa jenis serangga, ulat perusak daun, maupun jamur karena berperan sebagai racun kontak. Limbah puntung rokok di Desa Kenine Kecamatan Timang Gajah Kabupaten Bener Meriah biasanya dibuang dan dibiarkan berserakan tanpa dimanfaatkan menjadi produk yang lebih berguna. Penyuluhan pemanfaatan ekstrak nikotin dari limbah puntung rokok sebagai bahan pembuatan insektisida bertujuan untuk memberikan edukasi kepada masyarakat tentang cara pembuatan insektisida dari limbah puntung rokok. Pembuatan insektisida dimulai dengan melakukan ekstraksi terhadap limbah puntung rokok untuk mengambil ekstrak nikotin, kemudian dimanfaatkan sebagai sumber insektisida, serta menentukan dosis yang efektif dalam mengatasi hama penyerang tanaman. Kegiatan penyuluhan ini dapat menjadi salah satu solusi alternatif dan sarana untuk meningkatkan pengetahuan masyarakat dalam mengatasi dan memanfaatkan limbah puntung rokok sebagai produk yang bernilai.
Pelatihan Penggunaan Aplikasi Pertanian untuk Mendukung Usaha Petani dan Pencapaian SDGs Desa Yulisda, Desvina; Razi, Ar; Mulyawan, Rizka; Muliana, Erna; Nosari, Yulia; Wilujeng, Sri
Jurnal Malikussaleh Mengabdi Vol. 3 No. 1 (2024): Jurnal Malikussaleh Mengabdi, April 2024
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v3i1.15654

Abstract

Desa Kenine merupakan Desa yang sebagian besar mata pencaharian penduduknya adalah bertani, hasil pertanian menjadi sumber untuk memenuhi kebutuhan hidup masyarakatnya. Berdasarkan kondisi Desa Kenine saat ini, untuk menghasilkan hasil pertanian yang mencukupi bahkan menjadi usaha tani berkelanjutan atau wirausaha bidang pertanian dibutuhkan strategi untuk menghasilkan hasil pertanian yang melimpah. Saat ini masyarakat hanya menggunakan pengetahuan terkait solusi masalah dalam bercocok tanam melalui pengalaman secara turun temurun tanpa adanya pakar di bidang pertanian. Dengan demikian untuk mengatasi permasalahan serta meningkatkan pengetahuan masyarakat dapat dicapai dengan penerapan teknologi untuk kemandirian masyarakat melalui aplikasi yang dapat mendukung usaha tani dalam memperoleh pengetahuan bercocok tanam berdasarkan ilmu pakar serta dapat mendukung upaya pemerintah dalam peningkatan pendidikan melalui kegiatan pembangunan berkelanjutan era Sustainable Development Goals (SDGs). Untuk mendukung petani dalam pengembangan pengetahuan pertanian melalui teknologi digital saat ini maka dilakukan kegiatan pelatihan penggunaan aplikasi pertanian yang bertujuan untuk mendorong kesadaran masyarakat akan pentingnya pendidikan melalui perolehan pengetahuan keterampilan teknik dan kewirausahan yang relevan dengan pemanfaatan teknologi menggunakan smartphone. Kegiatan ini dilakukan secara bertahap mulai dari persiapan, pelaksanaan hingga tahap evaluasi. Hasil dari kegiatan yang telah dilakukan adalah pengetahuan dan pengalaman  yang diterima oleh masyarakat dalam penggunaan aplikasi serta implementasinya pada tanaman di sekitar perkebunan masyarakat dengan uji coba aplikasi dalam mendeteksi hama penyakit serta tanggapan postif dari masyarakat melalui hasil evaluasi yaitu bertambahnya pengetahuan masyarakat terkait cara mengaplikasikan software secara langsung yang nantinya dapat membantu masyarakat dalam mengatasi permasalahan pertanian secara mandiri baik melalui fitur aplikasi maupun melalui jaringan pakar petanian pada aplikasi. 
Prototype Penyiraman Otomatis Pada Tanaman Bawang Putih dengan Metode Fuzzy Sugeno Berbasis Arduino Uno Nunsina, Nunsina; Darnila, Eva; Fadhilah, Cut; Razi, Ar
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10614572

Abstract

Bawang putih merupakan jenis tanaman yang biasa ditanam di dataran tinggi tropis yang sangat sensitif terhadap cekaman kekeringan. Kekurangan air dapat menyebabkan pembentukan umbi terhambat sehingga akan mengurangi hasil poduksi. Penelitian iini bertujuan untuk membuat sebuah perangkat yang mampu mengotomatisasi proses penyiraman tanaman bawang putih . Proses penyiraman bawang putih secara manual memakan waktu yang signifikan karena harus dikerjakan secara individual untuk setiap pohon. Perangkat ini dirancang untuk memberikan manfaat dengan memudahkan pekerjaan manusia dalam menyirami bawang putih. Pendekatan yang digunakan dalam penelitian ini adalah Metode Penelitian dan Pengembangan (R&D). Perangkat ini dilengkapi dengan sensor kelembaban tanah yang berperan sebagai pengecek tingkat kelembaban dan mengirim instruksi kepada Arduino Uno untuk mengaktifkan driver relay, sehingga pompa air untuk melakukan penyiraman otomatis sesuai kebutuhan. Penelitian ini meliputi perancangan, serta implementasi komponen-komponen sistem, termasuk penggunaan Arduino Uno sebagai pengendali dan driver relay untuk mengatur aktivitas pompa air. Data dari penelitian memastikan bahwa perangkat yang dibuat berfungsi secara efektif, di mana relay akan beroperasi dan mengaktifkan pompa ketika tingkat kelembaban tanah di bawah 40%. Sebaliknya, relay akan berhenti beroperasi ketika kelembaban tanah mencapai lebih dari 40%. Agar dapat berproduksi optimal bawang putih memerlukan volume dan interval penyiraman yang tepat.
Klasifikasi Kepuasan Masyarakat terhadap Kinerja Petugas Sensus menggunakan K-Nearest Neighbours Auji, Muhammad Fathah; Fuadi, Wahyu; Razi, Ar
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2502

Abstract

This study aims to analyze the level of public satisfaction with the performance of census officers using the K-Nearest Neighbors (KNN) algorithm and the Chebyshev Distance measurement method. In this study, data were collected through field interviews with 239 respondents who were grouped into five satisfaction categories: Very Satisfied, Satisfied, Fairly Satisfied, Dissatisfied, and Very Dissatisfied. The KNN model applied using Python produced an accuracy of 75%, precision of 44%, and recall of 71% with k = 3. The results of the study show that KNN can classify the level of public satisfaction quite well, although the accuracy obtained still shows potential for improvement. This study suggests that further research be conducted using more complex methods to improve classification results.
Classification For Determining Nutritional Status of Toddlers Using Random Forest Method at Tanah Pasir Primary Health Centre, North Aceh Sofyan Iryad, Indana; Qamal, Mukti; Razi, Ar
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.10855

Abstract

The nutritional status of toddlers is a fundamental factor in supporting their growth and development, particularly during the golden period of 0–5 years of age. Malnutrition in toddlers can have detrimental effects on physical growth, cognitive development, and immune function. In Indonesia, child malnutrition remains a significant public health challenge, particularly in rural areas, necessitating improved nutritional surveillance systems at primary health centers. The manual assessment of nutritional status at community health centers (Puskesmas) often poses challenges in promptly identifying toddlers with undernutrition or severe malnutrition. This study aims to develop a toddler nutritional status classification system based on the Random Forest method to assist healthcare workers in determining nutritional status quickly and accurately. This study utilized a dataset of 2,612 toddler anthropometric records collected from Tanah Pasir Community Health Center, North Aceh, between November 2024 and January 2025. The dataset was split into training (2,090 records, 80%) and testing (522 records, 20%) sets using stratified random sampling. Key variables included age (0-60 months), body weight (kg), and body height (cm). Nutritional status categories were determined based on WHO Child Growth Standards using the weight-for-age (W/A), height-for-age (H/A), and weight-for-height (W/H) indices. The Random Forest method was chosen due to its ability to construct multiple decision trees through ensemble learning, resulting in more accurate predictions and better resistance to overfitting. The model was implemented with 100 trees and evaluated using standard classification metrics. The experimental results demonstrated that the system achieved strong classification performance, with an accuracy of 93%, precision of 95%, recall of 98%, and an F1-score of 96%. The high recall value is particularly significant in healthcare applications, ensuring minimal false negatives in detecting malnourished toddlers. The developed system facilitates healthcare workers in efficiently and systematically monitoring toddlers' nutritional status with consistent classification standards. Therefore, this system is expected to serve as a decision-support tool to improve community nutritional status at the community health center level, enabling early intervention for at-risk children.
Co-Authors Agam Muarif Ahmad Fikri Al Kautsar Aidilof, Hafizh Alvesaldy, Alvin Amalia, Nabila Amri Amri Arif Fadhilah, Arif Ashari, Muhammad Rayhan Asrianda Asrianda Auji, Muhammad Fathah Bustami Bustami Dahlan Abdullah Eva Darnila Fadhilah, Cut Fuadi, Wahyu Habib Muharry Yusdartono Jalila, Muhammad Mulkan Khairul Anshar Mainisa, Mainisa Mila, Apryza Muhammad Rifki Mukti Qamal Muliana, Erna Mulkan Mulkan, Mulkan Mulyawan, Rizka Nosari, Yulia Nunsina, Nunsina Nuriana, Nuriana Nurlaila, Rizka Putri, Isnaini Rahma Fitria, Rahma Rizki Putri Ramadhani, Rizki Putri Rizki, Dini Safira, Mela Safwandi Safwandi, Safwandi Sofyan Iryad, Indana Sri Wilujeng Syahrani, Irma Yulisda, Desvina Zahratul Fitri, Zahratul Zulfadli Zulnazri, Z