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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Information Systems and Informatics JTIK (Jurnal Teknik Informatika Kaputama) Journal of Applied Science, Engineering, Technology, and Education Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal IPTEK Bagi Masyarakat Journal of Computer Science and Informatics Engineering Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science
Fakhriza, M.
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics Public Health Social Sciences Other

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PUPUK UNTUK TANAMAN HIAS MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING DAN MULTI ATTRIBUTE UTILITY THEORY Irawati, Cici; Zufria, Ilka; Fakhriza, M.
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2708

Abstract

Abstract: Providing fertilizer that is not appropriate to soil conditions and plant needs will greatly affect plant growth, so this needs to be paid close attention and cannot be done haphazardly or excessively. Applying a combination of the SAW method and the MAUT method to produce a decision support system that can provide advice on determining the best type of organic fertilizer that can be given to ornamental plants. This research uses the Simple Additive Weight method which is used in selecting alternatives, then ranking them and getting the best alternative and using the Multi Attribute Utility Theory method to solve the problem by using a final evaluation scheme for an object or it can be said with a weight value which is added up with the relevant value of each utility. -his. Using the SAW method helps weight alternatives and criteria with a weight scale of 1-5, after weighting the alternatives, the ranking is then used using the MAUT method to get the final value, 1st place was obtained by Mutiara Pupuk NPK 16-16-1 with a final value of 0.815 and 20th place. obtained by ZPT Golstar 250 SC with a final value of 0.59, therefore Mutiara Pupuk NPK 16-16-1 is the best fertilizer for ornamental plant fertilizer.Keyword: Decision Making System, SAW, MAUT, Alternative Fertilizer Abstrak: Pemberian pupuk yang tidak sesuai dengan kondisi tanah dan kebutuhan tanaman akan sangat mempengaruhi pertumbuhan dari tanaman, sehingga hal ini perlu dicermati dan tidak bisa dilakukan secara sembarangan atau dilakukan secara berlebihan. Melakukan penerapan kombinasi dari metode SAW dan metode MAUT untuk menghasilkan sebuah sistem pendukung keputusan yang dapat memberikan saran untuk menentukan jenis pupuk organik terbaik yang dapat diberikan pada tanaman hias. Penelitian ini menggunakan metode Simple Additive Weigth yang digunakan dalam menyeleksi alternatif kemudian dilakukan perengkingan dan didapatkan alternatif terbaik dan menggunakan metode Multi Attribute Utility Theory untuk menyelesaikan permasalahan dengan menggunakan skema evaluasi akhir dari suatu objek atau dapat dikatakan dengan nilai bobot yang dijumlahkan dengan nilai relevan tiap utility-nya. Dengan menggunakan metode SAW membantu pembobotan alternatif dan kriteria dengan skala bobot 1–5, setelah dilakukan pembobotan alternatif selanjutnya perangkingan menggunakan metode MAUT untuk mendapatkan nilai akhir, rangking 1 didapatkan oleh Mutiara Pupuk NPK 16-16-1 dengan nilai akhir yaitu 0,815 dan ranking 20 didapatkan oleh ZPT Golstar 250 SC dengan nilai akhir yaitu 0,59, oleh karena itu Mutiara Pupuk NPK 16-16-1 merupakan pupuk terbaik untuk pupuk tanaman hias.Kata kunci: Sistem Pengambilan Keputusan, SAW, MAUT, Pupuk Alternatif
K-Nearest Neighbors (KNN) to Determine BBRI Stock Price Baihaqi, Abdullah Afif; Fakhriza, M.
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5098

Abstract

Sales prediction is a calculation aimed at forecasting future conditions by analyzing past situations. The research method used in this study is the Research and Development (RnD) method. The modeling employs the K-Nearest Neighbor algorithm, utilizing data processed through the Knowledge Discovery in Database (KDD) stages. The objective of this research is to obtain a predictive model that can preprocess structured product data, enabling it to present a forecast for the public regarding the general overview of BBRI stock price determination, as well as to provide recommendations for BBRI stock prices that have been classified by the researcher using the K-Nearest Neighbor method. The results of the stock price prediction indicate fluctuations in value during the period, where the model is capable of capturing trends in stock price changes based on historical data. For example, on February 10, 2025, the stock price is predicted to be 4867.020, while on February 15, 2025, it rises to 5101.620. This demonstrates that the k-NN method can analyze stock price movement patterns by considering the nearest neighbors from previous data. The k-NN method has proven effective in studying historical data patterns and generating structured predictions.
Kombinasi AHP-TOPSIS Pada Pemilihan Varietas Unggul Jagung Hibrida Di Desa Pantoan Maju Hidayati, Lily; Fakhriza, M.; Putri, Raissa Amanda
JATISI Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.9256

Abstract

The large number of varieties of hybrid corn seeds on the market and farmers' lack of understanding of the characteristics of each variety often make it difficult for farmers to make the right choice according to the conditions of their agricultural land. This is a major challenge for farmer groups in Hamlet III, Pantoan Maju Village, who experience difficulties in selecting superior hybrid corn seed varieties to increase agricultural productivity. To overcome this problem, a web-based decision support system was built that combines the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP is used to calculate weights on the criteria used such as crop quality, resistance to pests, and environmental adaptability, while TOPSIS is used to rank preferences for each alternative used. This system is expected to help farmers make more objective and targeted decisions. Test results show that this system is able to provide accurate and relevant recommendations, according to the needs of local farmers. And from the test results of the combination of the two methods, a decision was made on the alternative with the highest preference value of 0.928 from the Bisi-18 corn seed variety.
Pengembangan Aplikasi Evaluasi Pembelajaran Berbasis Web Pada Mata Kuliah SPK Dengan Metode Linier Congruential Generator Salim, Putra; Fakhriza, M.
EDU SOCIETY: JURNAL PENDIDIKAN, ILMU SOSIAL DAN PENGABDIAN KEPADA MASYARAKAT Vol. 5 No. 1 (2025): Februari-Mei 2025
Publisher : Association of Islamic Education Managers (Permapendis) Indonesia, North Sumatra Province

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/edu.v5i1.802

Abstract

Evaluasi hasil belajar dalam pendidikan dilakukan untuk menilai sejauh mana kemampuan atau pencapaian siswa selama mengikuti proses pembelajaran. Pada tingkat perkuliahan, evaluasi ini dilakukan melalui berbagai cara, yang pada dasarnya melibatkan tes atau ujian. Artikel ini bertujuan untuk mengembangkan aplikasi berbasis web untuk evaluasi pembelajaran pada mata kuliah Sistem Pendukung Keputusan (SPK), dengan menggunakan metode Linear Congruential Generator (LCG), yang dapat berfungsi sebagai media pendukung pembelajaran agar mahasiswa dapat belajar lebih efektif. Penelitian ini merupakan penelitian jenis Research and Development (R&D) yang bertujuan mengembangkan aplikasi evaluasi pembelajaran berbasis web pada mata kuliah pengantar ilmu komputer, menggunakan metode LCG. Proses penelitian ini mengikuti tahapan pengembangan sistem yang meliputi analisis kebutuhan, desain, implementasi, dan evaluasi sistem. Aplikasi ini terdiri dari komponen soal kognitif, afektif, dan psikomotorik. Dengan memanfaatkan algoritma LCG untuk pengacakan soal, diharapkan pertanyaan yang muncul tidak mudah diprediksi oleh mahasiswa
Application of Data Mining with C5.0 Algorithm to Recommend Prosperous Family Card (KKS) Recipients Fadilla, Nurul; Zufria, Ilka; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5913

Abstract

Poverty is a social problem that still often occurs in various regions in Indonesia, including in Silau Laut District which consists of several villages such as Bangun Sari, Silo Bonto, Silo Lama, Lubuk Palas, and Silo Baru. Although the area is quite large, there are still many families who are classified as poor and unable to meet their basic needs. To overcome this, the government launched the Prosperous Family Card (KKS) program as a form of social assistance. However, the process of determining prospective KKS recipients still faces various obstacles, such as a random selection method based on data sent by each village to the central government. This raises concerns about the inaccuracy of the target in the distribution of aid, so that the aid is not received by families who really need it. In addition, a lot of data has not been utilized optimally in the selection process. Therefore, this study aims to design a website-based information system that can help Silau Laut District in providing recommendations for prospective KKS assistance recipients by utilizing data mining techniques. The algorithm used is C5.0, because it is able to produce a decision tree with high accuracy, while the system development method used is Rapid Application Development (RAD) to accelerate the system development process. The result of this research is an information system that can process community data and provide recommendations for prospective KKS assistance recipients in a more objective and targeted manner in the next period.
Expert System Based on K-Nearest Neighbor for Oil Palm Fertilizer Application Optimization Triutami, Anggun; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6092

Abstract

This study aims to develop an expert system utilizing the K-Nearest Neighbor (KNN) algorithm to recommend suitable fertilizers for oil palm plants based on soil conditions, climate, and plant age. A quantitative approach was employed, involving literature review, data collection, model development, and evaluation. Data were obtained from PT. Nusantara Plantation IV Torgamba Plantation, including variables such as soil pH, dolomite, NPK, urea application, and crop yields. The KNN model was optimized with a K-value of 6 and evaluated using metrics including accuracy (63.63%), precision, recall, F1-score, Mean Absolute Error (MAE: 1995.38), and Mean Squared Error (MSE: 5,257,254.73). The system demonstrates the ability to provide fertilizer recommendations by identifying similarities in historical data, though further accuracy improvements are possible. The practical implications of this research include assisting farmers in optimizing fertilizer selection, enhancing productivity, and minimizing environmental impact. Future studies could explore the integration of additional variables or alternative algorithms such as Decision Tree or Naive Bayes to improve performance.
SISTEM INFORMASI PENGELOLAAN DATA SERANGAN ORGANISME PENGGANGGU TANAMAN (OPT) BIOFARMAKA PADA UPTD PTPH PROVINSI SUMATERA UTARA BERBASIS WEBSITE Tarigan, Putri Amelia; Fakhriza, M.; Nasution, Muhammad Adnan Buyung
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3214

Abstract

Abstract: This study aims to design and implement a web-based information system for managing pest attack data (Plant Disturbing Organisms/OPT) on medicinal plants (biofarmaka), particularly in the operational area of the UPTD PTPH of North Sumatra Province. The identified problems include inefficient manual reporting, vulnerability to errors, and delays in information delivery. This research adopts a qualitative method and applies the waterfall model for system development. The results show that the system effectively assists field officers, district coordinators, and provincial administrators in inputting, verifying, and monitoring pest attack data in a more efficient, accurate, and real-time manner. Additionally, the system supports visual analysis through charts and report summaries, thereby facilitating strategic decision-making for OPT control. Keywords: Information System, Plant Disturbing Organism (OPT), Biofarmaka, UPTD PTPH Abstrak: Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi berbasis website untuk pengelolaan data serangan Organisme Pengganggu Tanaman (OPT) pada tanaman biofarmaka, khususnya di wilayah kerja UPTD PTPH Provinsi Sumatera Utara. Permasalahan yang dihadapi berupa proses pelaporan manual yang kurang efisien, rawan kesalahan, dan keterlambatan penyampaian informasi. Penelitian ini menggunakan metode kualitatif serta model pengembangan perangkat lunak waterfall. Hasil implementasi menunjukkan bahwa sistem ini mampu membantu petugas lapangan, koordinator kabupaten, dan admin provinsi dalam menginput, memverifikasi, dan memantau data serangan OPT secara lebih efisien, akurat, dan real-time. Selain itu, sistem ini mendukung analisis visual melalui grafik dan rekapitulasi laporan, sehingga mempermudah pengambilan keputusan strategis dalam pengendalian OPT.  Kata kunci: Sistem Informasi, Organisme Pengganggu Tanaman (OPT), Biofarmaka, UPTD PTPH
Fardhu Kifayah Learning Media Application Using Android-Based Augmented Reality Baratih, Ira Iranda Isyha; Fakhriza, M.
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1141

Abstract

Advances in information technology and telecommunications have brought significant changes to the field of education. Technology-based learning media provides an effective solution for improving the quality of learning and student motivation. One of the emerging technologies is augmented reality (AR), which can create interactive and engaging learning experiences. Observations at the Amal Shaleh Islamic Junior High School revealed the need for more interactive, technology-based learning tools. The learning process still relies on conventional methods, such as explanations on the blackboard and textbooks, making it challenging for students to fully grasp the material. The researchers chose the topic "Management of Deceased Bodies" as the focus for developing learning media, given the importance of understanding the procedures for managing corpses according to Islamic law. In fiqh studies, the obligation to care for a corpse is considered a fardhu kifayah, meaning that if one person fulfills this duty, the responsibility is lifted from others. However, if no one performs the task, the entire community bears the sin. Thus, it is crucial for students to understand and apply the procedures correctly. This research employed the Markerless method, and the outcome was an interactive learning medium utilizing augmented reality. The goal of this innovation is to enhance students' understanding of the procedures for handling deceased bodies, enabling them to apply this knowledge within their communities
Decision Support System for Sunscreen Selection Based on Facial Skin Concerns Using the Analytic Network Process Sitorus, Andriani; Fakhriza, M.
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.v9i4.10112

Abstract

Exposure to ultraviolet (UV) radiation is one of the primary causes of premature skin aging and various facial skin problems. However, selecting an appropriate sunscreen product remains challenging due to limited consumer knowledge and the overlapping nature of facial skin concerns. This study proposes a decision support model using the Analytic Network Process (ANP) to determine the most suitable sunscreen product based on six common skin problems: acne-prone skin, very dry skin, outdoor-induced dullness, aging, hyperpigmentation and acne scars, and general dullness. These criteria were derived from literature and validated by a certified skincare expert. Nine sunscreen alternatives from the Wardah brand—chosen due to their wide usage in the Indonesian market and varying SPF, PA levels, and formulations—were evaluated. Expert judgment was used in pairwise comparisons, with Consistency Ratio (CR) used to ensure reliability. The ANP model was developed using unweighted, weighted, and limit supermatrices. Results showed that Wardah UV Shield Aqua Fresh Sunscreen Serum SPF 50 PA++++ had the highest global priority score. A prototype web-based system was built using PHP and MySQL to deliver personalized sunscreen recommendations. The novelty of this study lies in its integration of expert dermatological insights and the use of ANP to address interrelated skin concerns, which are rarely explored in prior skincare decision support research.
Image Classification of Red Dragon Fruit Ripeness Levels Using HSV Color Moments and the K-NN Algorithm Br Sembiring, Nadia; Fakhriza, M.
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.v9i4.10206

Abstract

Accurately determining the ripeness level of red dragon fruit (Hylocereus polyrhizus) is crucial for ensuring post-harvest quality and distribution efficiency. This study proposes a method for classifying red dragon fruit ripeness using color moment features in the HSV color space combined with the K-Nearest Neighbor (K-NN) algorithm. The dataset consists of 2,881 images of dragon fruit with a resolution of 800×800 pixels, categorized into three classes: ripe (886 images), unripe (1,241 images), and rotten (754 images). All images were captured under natural lighting conditions and underwent pre-processing to enhance color value consistency. Color features were extracted by calculating the mean, standard deviation, and skewness of the Hue, Saturation, and Value channels. The K-NN model was trained and tested on data randomly split in an 80:20 ratio. The testing results showed that the model achieved 100% accuracy in classifying the ripeness levels, demonstrating the effectiveness of this non-destructive method in distinguishing fruit ripeness. This approach holds strong potential to support efficient and consistent decision-making in the agricultural sector.
Co-Authors Abdul Halim Hasugian Andini Wulandari Angga Ardiansyah Aninda Muliani Armanda, Akbar Agustama Astuti, Andriani Dwi Baihaqi, Abdullah Afif Baratih, Ira Iranda Isyha Br Sembiring, Nadia Dayatila, Nada Fadilla, Nurul Haerani, Sintia Hafidz, Hasbanur Harahap, Putri Sari Febrianty Hasibuan, Maria Hikmah Hasibuan, Salsabila Arifa Heri Santoso Hidayati, Lily Ilka Zufria Irawati, Cici Lubis, Desy Ramadhani Manurung, Haidar Azra Muchain, Alfira Nafhan Muhammad Dedi Irawan Nasution, Adnan Buyung Nasution, Muhammad Adnan Buyung Raissa Amanda Putri Rangkuti, Syawaliah Putri Ritonga, Fazrul Umri Salim, Putra Silalahi, Dinah Makhroza Sinaga, Imam Adlin Sitorus, Andriani Situmeang, Monica Tarigan, Putri Amelia Triutami, Anggun