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All Journal JURNAL ILMIAH INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI KOMPUTEK Informatika Jurnal Vokasi Informatika (JAVIT) Jurnal Manajemen dan Teknologi Informasi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Sintaks Logika (JSilog) Jikom: Jurnal Informatika dan Komputer Jurnal Sains dan Ilmu Terapan COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Jurnal Surya Informatika Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Publikasi Ilmu Komputer dan Multimedia
Mughaffir Yunus
Universitas Muhammadiyah Parepare
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Public Health Social Sciences Transportation Other

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Klasifikasi Tingkat Kematangan Tomat Menggunakan Algoritma Knn (K-Nearest Neighbor) Berbasis Citra Digital Muhammad Suryanto Rustam; Marlina; Mughaffir Yunus; Andi Wafiah; Wahyu Artanugraha
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 3 (2025): September: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i3.5275

Abstract

The problem raised in this study is the difficulty of accurately classifying tomato ripeness levels if only relying on visual observation, so a more objective computational method is needed. This study aims to design and implement a tomato ripeness classification system using the K-Nearest Neighbor (KNN) method based on digital image processing. The dataset used consists of 300 tomato images taken from agricultural land in Enrekang Regency, South Sulawesi, with an even distribution in each ripeness category. The method used includes taking tomato images, resizing the images to 200×200 pixels, extracting RGB and HSV color features, and normalizing pixel values. The features used in the classification are the average values ​​of Hue, Saturation, and Value of each image. The KNN algorithm with parameter K = 3 is applied to compare the Euclidean distance between the test data and the training data. The test results show that the accuracy per category reaches 100%, and the overall accuracy is 90%. These findings prove that the combination of HSV and KNN color models is effective in distinguishing tomato ripeness levels, and has the potential to be implemented in automated sorting systems to improve post-harvest efficiency in the agricultural sector.
Sales Application Using Point of Sales System Method in Coffee Shop Management System Nurlianti; Ade Hastuty; Mughaffir Yunus; Marlina; Andi Wafiah
Jurnal Vokasi Teknik Informatika Vol 6 No 1 (2026)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/javit.v6i1.280

Abstract

The development of information technology requires businesses to shift from manual systems to more efficient digital management. However, Mentuangin Coffee still runs sales processes and reports manually, making them prone to errors, delays in data processing, and difficulties in monitoring stock. This condition indicates the need for an integrated sales system that can support operational activities more accurately and structurally. This study aims to design and develop a sales application based on a Point of Sales (POS) system using the PHP programming language as a solution to automate transaction processes, inventory management, and sales reporting. The research methods used include needs analysis, an object-oriented approach, application implementation, and testing using the Black Box method to ensure all functions run according to specifications. The results show that the developed application is able to process transactions, improve recording accuracy, and generate reports in real time
Aplikasi Penilaian Kinerja Dosen Teknik Informatika Syahrul Ramadan; Ade Hastuty; Mughaffir Yunus
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7942

Abstract

This research highlights the strategic role of lecturers in higher education, particularly in the teaching and assessment process. However, lecturer performance appraisals often contain elements of subjectivity that cause data inaccuracies. To overcome this, a technology-based system is needed that is able to support the decision-making process more objectively. The Simple Additive Weighting (SAW) method is used in this research because it is able to provide an assessment based on predetermined weights for each criterion. With this approach, the research aims to design a lecturer performance appraisal system that can improve the quality of education through more accurate and structured measurements.
Menentukan Varietas Bibit Unggul Bawang merah Menggunakan metode SAW Arman Naufal; Ahmad Selao; Mughaffir Yunus
Jurnal Sintaks Logika Vol. 5 No. 3 (2025): September 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jsilog.v5i3.4252

Abstract

The large number of types of shallot seeds makes it difficult for farmers to choose quality seeds that are in accordance with land conditions, which causes crop yields to be less than optimal. The purpose of the research is to create an application that can help farmers select optimally superior seeds according to agricultural land conditions. The research uses a type of quantitative research based on data obtained at the Anggeraja Agricultural Extension Agency, which will be carried out for three months in 2024 using web technology and the SAW method. The research produced a WEB based application that can determine superior seeds and evaluate the quality of seedlings based on factors such as land height, harvest age, soil pH, tuber size, moisture content, disease resistance, and variety purity. The results of the test show that this application is able to identify the seeds that have the best characteristics.
Rancang Bangun Aplikasi Penjualan Rumah Di Kabupaten Sidrap Berbasis Android Armayani, Armayani; Wahyuddin, Wahyuddin; Yunus, Mughaffir; Masnur, Masnur
Jurnal Surya Informatika Vol. 15 No. 2 (2025): Jurnal Surya Informatika, Vol 15. No. 2, November 2025
Publisher : Universitas Muhammadiyah Pekajangan Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48144/suryainformatika.v15i2.2164

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi penjualan perumahan berbasis Android yang ditujukan untuk masyarakat Kabupaten Sidrap. Aplikasi ini dikembangkan sebagai solusi atas keterbatasan sistem pemasaran perumahan konvensional yang kurang efisien dan belum terdigitalisasi. Metode yang digunakan adalah model pengembangan prototyping, dengan tahapan analisis kebutuhan, perancangan sistem, implementasi, serta evaluasi oleh pengguna. Evaluasi dilakukan terhadap 30 responden melalui kuesioner skala Likert yang mengukur tiga aspek utama: kemudahan penggunaan, keamanan dan keandalan sistem, serta kepuasan dan loyalitas pengguna. Hasil analisis menunjukkan bahwa mayoritas responden memberikan penilaian positif terhadap aplikasi, dengan rata-rata skor pada seluruh indikator berada di antara 1.8 hingga 2.2. Aplikasi dinilai mudah digunakan, informatif, dan berpotensi meningkatkan efisiensi proses pemesanan rumah. Penelitian ini menyimpulkan bahwa pendekatan desain berbasis pengguna dan prinsip Human-Centered Design dapat meningkatkan kualitas sistem informasi, terutama di wilayah non-perkotaan. Temuan ini memberikan kontribusi terhadap pengembangan teknologi digital di sektor properti serta menawarkan model implementasi aplikasi yang adaptif terhadap konteks lokal.
Aplikasi Game Balap Sepeda Ontel Berbasis Android Muh. Rifli Aris; Ade Hastuty; Mughaffir Yunus; Muhammad Basri; Ahmad Selao
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1150

Abstract

Traditional games are part of cultural heritage that contain historical and educational values. One example is the ontel bicycle, a classic bicycle still widely known among Javanese people as the "kebo bicycle." However, along with the development of technology and modern lifestyles, the younger generation's interest in traditional games has decreased. This condition encourages the need for an alternative approach to reintroduce the ontel bicycle to the current generation. This study aims to design and develop an Android-based ontel bicycle racing game that is educational and supports cultural preservation. The research method used in the development process uses the Unity platform, while the testing phase was conducted using black box and white box methods. Based on the test results, the application runs according to the designed logic and no logical errors were found, with a cyclomatic complexity of V(G) = 3. This game application is equipped with a main menu, game levels with various difficulty levels, and information about the developer. 
Co-Authors A. Hasdiansyah A. Restu Amalia Absar, Sulfadli Ade Hastuti Ade Hastuty Ade Hastuty Adrisal Ahmad Selao Al-Mugtadir, Muhammad Alam, Syahirun Alfurqan Andi A. Mattunruang Andi Wafiah anwar, yusril Arman Naufal Armayani, Armayani Arthanugraha, Wahyu Basri, Muh Bintang Choirul Nusri Darma, Humairoh Salsabila Dian Indriyani Fajar Fajar Firdaus Firdaus Hasnawati Ihwan Ridwan, Ihwan Ilham, Muh Ilmar A. Achmad Indah, Mutiara Irmah iskandar, yuliana Iswan Iswan Marlina Marlina Marlina Marlina Marwan Masnur Masnur Masnur Masnur Muh. Rifli Aris Muh. Zainal Muhammad Basri Muhammad Basri Muhammad Suryanto Rustam Nourazlina, Nourazlina Nurdiansyah Sirimorok Nurlianti Nurlianti Pawelloi, A. Irmayani Rafikil, Dias Rafly Arifin, Mohammed Ramadhan, Andi Muhammad Fahreza Rijal, Muhammad Risnayanti, Risnayanti Sahidin, Sudirman Syahirun Alam Syahrul Ramadan Syamsu123, Syamsu123 Syulfiani, Besse Tahir, Fitriani Untung Suwardoyo Wahyuddin Wahyuddin Wahyuddin Wahyuddin Yunus, Ayuni