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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 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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Empowering Coffee Farmers Through Training on Diversification of Processed Cinnamon Coffee Products at UMKM Rizki Amalia: Pemberdayaan Petani Kopi Melalui Pelatihan Diversifikasi Produk Olahan Kopi Kayu Manis di UMKM Rizki Amalia A. Hasdiansyah; Sriyanti Mustafa; Mughaffir Yunus; Ihwan Ridwan; Andi A. Mattunruang; Ilmar A. Achmad
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 7 No. 3 (2023): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

The coffee business is booming along with the growth of coffee shops, both large and small scale. This fact makes the coffee market more competitive, so coffee producers need to innovate and diversify more varied coffee preparations. The purpose of this empowerment is to encourage partners to present products that are different from the products that have been produced so far. This activity develops liquid cinnamon processed coffee which is a diversification of Rizki Amalia's MSME ground coffee products. This cinnamon coffee making training is based on the problem of high competitiveness between ground coffee producers in Enrekang. Black ground coffee producers and sellers have been widely spread in Enrekang district so that better innovation is needed to increase the selling value of coffee products. The results of this training contributed new knowledge and skills for Rizki Amalia MSME players in processing black ground coffee products combined with ground cinnamon. This activity is expected to make Rizki Amalia MSME products have a higher selling value than before. In the future, assistance to Rizki Amalia MSMEs will continue to provide training on developing digital-based product marketing.
Implementasi Sistem Prediksi Pemesanan Tiket Online Untuk Optimalisasi Penjualan Menggunakan Random Forest Bintang Choirul Nusri; Mughaffir Yunus; Masnur; Nurdiansyah Sirimorok; Syahirun Alam; Muh. Zainal
Jurnal Informatika dan Komputer Vol 16 No 1 (2026): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v16i1.327

Abstract

The online ticketing industry faces challenges in managing fluctuating ticket demand. This study aims to develop an online ticket booking prediction system using the Random Forest algorithm to optimize ticket sales. Using historical ticket booking data, a predictive model is built to project future ticket demand based on variables such as ticket price, booking time, event type, and event location. The data used includes 5,000 randomly selected ticket transactions from online ticketing service providers. The results show that the Random Forest model provides more accurate predictions compared to baseline methods (linear regression and single decision tree). The model achieved MAE of 0.142, RMSE of 0.185, and R² of 0.892, showing significant improvement compared to linear regression (MAE: 0.321; RMSE: 0.398; R²: 0.642) and single decision tree (MAE: 0.218; RMSE: 0.285; R²: 0.754). Statistical testing using paired t-test showed significant difference (p-value < 0.001) between Random Forest and baseline models. These findings indicate that a Random Forest-based prediction system can help ticket providers optimize pricing, inventory management, and ticket sales efficiency, and open up opportunities for the model's application in other sectors.
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
Rancang Bangun Game Based Learning Pada Pembelajaran Bahasa Indonesia Hasnawati; Wahyuddin; A. Restu Amalia; Mughaffir Yunus; Marlina
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.v4i3.5251

Abstract

Kurangnya media pembelajaran serta metode pengajaran yang cenderung monoton mengakibatkan peserta didik kurang termotivasi untuk memahami materi teks deskripsi secara mendalam. Materi ini memerlukan pemahaman tentang struktur, ciri kebahasaan, dan isi yang seringkali sulit dicapai hanya dengan metode ceramah atau latihan tertulis. Untuk mengatasi hal tersebut, penelitian ini bertujuan merancang Game Based Learning Menggunakan Unity 3D dengan basis Android sebagai media pembelajaran interaktif pada materi teks deskripsi kelas VII SMP. Penelitian ini menggunakan metode Research and Development (R&D). Data dikumpulkan melalui studi literatur, kuesioner validasi ahli materi, kuesioner kepuasan pengguna, serta pengujian black box. Hasil validasi ahli materi memperoleh skor rata-rata 2,47 (kategori “Sangat Setuju”) yang menunjukkan bahwa soal dalam game telah memenuhi aspek kelayakan. Hasil kuesioner kepuasan pengguna memperoleh skor rata-rata 2,37 (kategori “Sangat Setuju”) yang berarti pengguna merasa puas dengan tampilan, kemudahan penggunaan, dan manfaat game. Pengujian fungsional memastikan seluruh fitur berjalan sesuai rancangan dan responsif saat dimainkan. Dengan demikian, game ini dinyatakan layak digunakan sebagai media pembelajaran interaktif yang tidak hanya menarik secara visual, tetapi juga mampu meningkatkan motivasi belajar peserta didik
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.
Co-Authors A. Hasdiansyah A. Restu Amalia Absar, Sulfadli Ade Hastuty Adrisal ahmad selao Al-Mugtadir, Muhammad Alam, Syahirun Alfurqan Andi A. Mattunruang Andi Wafiah anwar, yusril 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 Marwan Masnur Masnur Masnur Masnur Muh. Rifli Aris Muh. Zainal Muhammad Basri Muhammad Basri Muhammad Suryanto Rustam Naufal, Arman Nourazlina, Nourazlina Nurdiansyah Sirimorok Nurlianti Pawelloi, A. Irmayani Rafikil, Dias Rafly Arifin, Mohammed Ramadan, Syahrul Ramadhan, Andi Muhammad Fahreza Rijal, Muhammad Risnayanti, Risnayanti Sahidin, Sudirman Selao, Ahmad Syahirun Alam Syamsu123, Syamsu123 Syulfiani, Besse Tahir, Fitriani Untung Suwardoyo Wahyuddin Wahyuddin Yunus, Ayuni