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All Journal Sisfo: Jurnal Ilmiah Sistem Informasi AMMA : Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer Aceh
Hannan Asrawi
Universitas Almuslim
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing

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Pelatihan Desain Grafis Menggunakan Aplikasi Canva Untuk Siswa Di SMK Kesehatan Binatama Abd Mizwar A. Rahim; Theopilus Bayu Sasongko; Hannan Asrawi
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 11 : Desember (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Technological development is an important factor as a driver of growth and progress in a country. Technology today plays a very important role, especially in the field of education. One way to deal with this is utilizing technology, which can be done by starting to introduce technology to students at an early age through graphic design using the Canva app. In the environment of SMK Kesehatan Binatama, the use of technology in teaching activities has not been done effectively. Learning activities are still done normally without frequently using technology, so it is necessary to have Canva training as a form of technology adaptation and a means to channel the creativity of the students. The methods used are training methods that include material delivery, practice, and evaluation. Training activities run smoothly: each student can follow a whole range of activities from start to finish, and each student may create one graphic design independently.
Analisis Prediktif Tingkat Kematangan Alpukat Menggunakan Algoritma Logistic Regression Natasya Aulia; Iqbal Iqbal; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i1.46

Abstract

Determining the ripeness level of avocado fruit is an important factor in distribution, marketing, and consumption processes. Conventional ripeness assessment is often subjective and dependent on human experience, which can lead to inconsistent results. This study aims to develop an avocado ripeness prediction system using the Logistic Regression algorithm based on physical and visual fruit characteristics. The dataset consists of 1,250 avocado samples with features including firmness, color attributes, tapping sound, weight, and fruit size. Data preprocessing involved cleaning, normalization of numerical features using StandardScaler, and categorical feature transformation using one-hot encoding. The experimental results show that the proposed model achieved an accuracy of approximately 77% in classifying avocado ripeness into ripe and unripe categories, indicating that Logistic Regression is a lightweight and efficient approach for numerical-based ripeness prediction systems.
Klasifikasi Kelayakan Penerimaan Beasiswa Kip Menggunakan Metode Decision Tree Nafira; Iqbal Iqbal; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

The KIP Kuliah program aims to improve access to higher education for students from underprivileged families. The scholarship selection process, which is often conducted manually, tends to be inefficient and prone to subjectivity. This study aims to develop a classification model using the Decision Tree C4.5 algorithm based on a data mining approach. The dataset includes parents’ income, parents’ occupation and education, number of dependents, home ownership and condition, electricity capacity, house size, and achievement data. The research stages include data collection, preprocessing, model development, and evaluation using a confusion matrix and performance metrics such as accuracy, precision, recall, and f1-score. The results show that the model achieves an accuracy of 98%. Parents’ income and number of dependents are the most influential factors in determining eligibility. The resulting model has a simple structure, making it easy to interpret and useful for supporting a more objective and efficient selection process.
Klasifikasi Smartphone Berdasarkan Performa dan Harga Menggunakan Metode Algoritma K-Nearest Neighbor (KNN) Dian Safitri; Sriwinar; Hannan Asrawi; Imam Muslem
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.53

Abstract

The rapid development of smartphones has led to a wide variety of specifications and price ranges, making it difficult for consumers to choose devices objectively. Performance differences influenced by hardware specifications and pricing require a data-driven classification approach. This study aims to classify smartphones based on performance and price using the K-Nearest Neighbor (KNN) algorithm. The dataset consists of 981 smartphone records obtained from Kaggle, including attributes such as processor speed, number of cores, RAM, internal storage, battery capacity, camera resolution, rating, and price. Data preprocessing includes handling missing values and feature normalization using StandardScaler. Smartphones are categorized into three classes: Budget, Midrange, and Flagship. The model evaluation uses confusion matrix, accuracy, precision, recall, and F1-score. Experimental results show that the KNN algorithm achieves an accuracy of 92%, indicating that it is effective for smartphone classification problems.
Pengembangan Sistem Notifikasi Informasi Terbaru PKBM Putra Peusangan Menggunakan Metode Agile Marwan; Imam Muslem; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.55

Abstract

The rapid development of information technology in education demands systems capable of delivering academic information quickly and accurately. One of the common problems at PKBM Putra Peusangan is the delay in delivering important information and student grades due to manual processes and limited communication media. This study aims to develop a web-based notification system integrated with a Telegram bot to automate the delivery of academic information to students. The system was developed using the Agile method to ensure flexibility and adaptability to user needs. Data processing is carried out through manual input and Excel file uploads, which are verified before being stored in the database. The results show that the system improves efficiency in information management and accelerates the delivery of notifications in real time. The implementation of this system makes information distribution more effective, transparent, and easily accessible for students.
Sistem Pendukung Keputusan Pemilihan Smartphone Terbaik Menggunakan Metode Copras (Complex Proportional Assessment) Riska Silvia; Sriwinar; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.59

Abstract

The rapid development of the smartphone industry has resulted in a wide variety of products with different specifications and prices. This condition often makes consumers confused when determining the best smartphone that suits their needs. Therefore, a decision support system is needed to assist users in selecting smartphones objectively based on several technical criteria. This study aims to develop a Decision Support System (DSS) for selecting the best smartphone in the price range of IDR 3–5 million using the Complex Proportional Assessment (COPRAS) method. The research evaluates several smartphone alternatives based on twelve criteria consisting of ten benefit criteria and two cost criteria. The COPRAS method processes the data through normalization, weighting, and utility value calculation to determine the ranking of each alternative. The results of the study show that the proposed system is capable of providing objective recommendations based on the utility value of each smartphone alternative. The system can assist users in making rational and data-driven decisions when selecting smartphones. In addition, the developed model can also be applied to other product selection problems involving multiple criteria.
Implementasi Aplikasi Jual Beli Pakaian Bekas Sebagai Solusi Ramah Lingkungan Nurannas; Imam Muslem; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.78

Abstract

The increasing growth of fashion trends has encouraged people to purchase clothing more frequently, resulting in a higher number of unused garments and textile waste. Many second-hand clothes are still suitable for reuse, either through resale or donation, but their management is often conducted conventionally through social media, private messages, or direct transactions. This condition causes product data, transaction records, stock information, payment status, delivery information, and donation data to be less organized. This study aims to implement a web-based second-hand clothing buying, selling, and donation application as an environmentally friendly solution. The application was developed using PHP as the programming language and MySQL as the database management system. The system involves three main actors, namely admin, seller, and buyer. The main features include user registration, login, product management, marketplace, product detail, shopping cart, checkout, payment recording, delivery management, and donation management. System testing was carried out using the black-box testing method by observing the suitability between input, process, and expected output for each feature. The testing results show that all main features run according to their expected functions. Therefore, this application can support the reuse of second-hand clothing, facilitate structured online transactions, improve data management, and encourage social and environmental awareness through an integrated donation feature.
Design and Construction of an Automatic Egg Incubator Based on the Atmega 328 Microcontroller Hannan Asrawi; Iskandar Zulkarnaini; Septiannur Septiannur
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26939

Abstract

An ATmega328 microcontroller is used as the control center connected to the DHT11 sensor in the automatic egg incubator. The LCD is used to display and monitor temperature and humidity values ​​in real time. Temperature and humidity are two main factors that greatly influence the success of the egg hatching process, in addition to air circulation and egg rotation. However, simple egg incubators on the market generally only focus on temperature and humidity control displayed on the LCD. System testing was carried out using an experimental method, namely through direct trials using the designed egg incubator. Several eggs were placed in the machine to be conditioned according to the specified parameters. Temperature and humidity monitoring was carried out via the LCD for the first two hours with a check interval of every 10 minutes. The system is also equipped with an automatic egg rotation mechanism using a 5-volt servo motor. The servo functions to move the egg rack to produce an 18° tilt angle alternately and continuously, to ensure even heat distribution. The DHT11 sensor is capable of detecting temperature and humidity levels suitable for the incubation process of chicken eggs, which range from 36°C to 39°C and humidity levels between 55% and 65%. This study aims to implement a temperature and humidity control system in a chicken egg incubator to increase the percentage of successful hatching and ensure the servo motor can work properly in automatically adjusting the position of the egg rack according to the specified time.
Co-Authors Abd Mizwar A. Rahim Dian Safitri Iqbal Iqbal Iskandar Zulkarnaini Muslem R, Imam Nafira Natasya Aulia Nurannas Riska Silvia Sasongko, Theopilus Bayu Septiannur Septiannur Sriwinar