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All Journal Jurnal Sarjana Teknik Informatika Jurnal Transformatika Jurnal Informatika dan Teknik Elektro Terapan InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknologi dan Sistem Komputer Jurnal Pengabdian UntukMu NegeRI JIKO (Jurnal Informatika dan Komputer) Insect (Informatics and Security) : Jurnal Teknik Informatika Indonesian Journal of Information System Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Compiler Jurnal Teknologi Sistem Informasi dan Aplikasi JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Jurnal Riset Informatika AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Antivirus : Jurnal Ilmiah Teknik Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Ilmu Komputer dan Bisnis Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Restikom : Riset Teknik Informatika dan Komputer Mosharafa: Jurnal Pendidikan Matematika Journal of Informatics Management and Information Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat sudo Jurnal Teknik Informatika Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknik Informatika Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Informatika Teknologi dan Sains (Jinteks) Industrial Research Workshop and National Seminar Jurnal Sains Informatika Terapan (JSIT) Journal Of Information System And Artificial Intelligence Jikom: Jurnal Informatika dan Komputer J-Icon : Jurnal Komputer dan Informatika SENAPAS BIMASAKTI
Mutaqin Akbar
Universitas Mercu Buana Yogyakarta
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Sistem Pendukung Keputusan Rekomendasi Buku Novel menggunakan Metode Weighted Product Fiki Ertandi; Mutaqin Akbar
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 1 (2025): Volume 9 Nomor 1 Januari 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i1.14515

Abstract

Era digital telah mengubah cara manusia mencari dan memilih buku, termasuk novel yang merupakan salah satu jenis bacaan populer. Namun, banyaknya pilihan novel yang tersedia sering membuat pembaca kesulitan dalam menentukan buku yang sesuai dengan preferensi mereka. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode Weighted Product (WP) untuk membantu pembaca dalam memilih novel. Penelitian menggunakan pendekatan kuantitatif dengan metode pengembangan sistem. Pengumpulan data dilakukan melalui survei online kepada 50 pembaca novel aktif dan wawancara dengan 5 narasumber untuk menentukan kriteria pemilihan novel. Sistem dikembangkan menggunakan bahasa pemrograman PHP dan database MySQL dengan enam kriteria penilaian: harga, penulis, cover, alur cerita, gaya bahasa, dan ketebalan buku. Hasil penelitian menunjukkan bahwa sistem berhasil memberikan rekomendasi novel berdasarkan preferensi pengguna dengan tingkat akurasi yang baik, dibuktikan melalui pengujian fungsional sistem yang menunjukkan semua fitur berfungsi sesuai kebutuhan. Penelitian ini menghasilkan sebuah solusi teknologi yang dapat membantu pembaca dalam memilih novel secara lebih efektif dan efisien.
Analisis Sentimen Program Makan Bergizi Gratis Menggunakan Claude Sonnet 4.5 dengan pendekatan Zero-Shot Classification Nugroho, Yassir Ahmad; Akbar, Mutaqin
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9308

Abstract

The Free Nutritious Meal Program (Program Makan Bergizi Gratis, MBG) is a national policy aimed at improving public nutritional quality, particularly among school-aged children. Despite its strategic objectives, the program’s implementation has generated diverse public responses, widely expressed through social media platforms. This study aims to analyze public sentiment toward the Free Nutritious Meal Program using the Claude Sonnet 4.5 model with a zero-shot classification approach. The study was conducted online using YouTube user comments on videos discussing the MBG program as the data source. Data were collected through the YouTube Data API between January 5 and January 20, 2026, yielding a total of 5,036 comments. After preprocessing, 4,737 clean comments were retained for analysis. Sentiment classification was performed without model retraining by leveraging the contextual understanding capabilities of Claude Sonnet 4.5. Model performance was evaluated using a Confusion Matrix by comparing automatic classification results with manual labels on 20% of the data as an evaluation sample. The results indicate that relevance classification achieved an accuracy of 97.89%, while sentiment classification reached an accuracy of 94.60%. Sentiment distribution was dominated by negative sentiment at 57.8%, followed by neutral sentiment at 21.5% and positive sentiment at 20.7%. This study contributes by proposing a Large Language Model–based framework for public policy sentiment analysis using Claude Sonnet 4.5 with a zero-shot classification approach, enabling accurate analysis of Indonesian-language public opinion without reliance on labeled training data.
Sistem Pendukung Keputusan Perencanaan Kelas Pelatihan IT Menggunakan Metode Simple Additive Weighting: Studi Kasus pada Perusahaan Pelatihan IT di Kota Yogyakarta Fajriansyah, Dede; Akbar, Mutaqin
sudo Jurnal Teknik Informatika Vol. 5 No. 1 (2026): Edisi Maret
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v5i1.1543

Abstract

Proses perencanaan kelas mingguan (Rencana Kelas Mingguan/RKM) pada lembaga pelatihan teknologi informasi masih banyak dilakukan secara manual, sehingga rawan terhadap kesalahan manusia seperti kelelahan, keterlambatan, dan ketidaktepatan dalam pengambilan keputusan. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) berbasis metode Simple Additive Weighting (SAW) guna membantu menentukan prioritas kelayakan kelas pelatihan IT. Metode SAW digunakan karena mampu menyelesaikan permasalahan multikriteria secara efektif melalui proses normalisasi dan penjumlahan terbobot dari setiap kriteria penilaian. Sistem dikembangkan dengan tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian fungsional menggunakan metode black box testing. Sistem difokuskan pada tahap pra-perencanaan RKM (Pre-RKM) yang mencakup pengelolaan data prospek kelas, penentuan kriteria dan bobot, serta perhitungan dan pemeringkatan kelayakan kelas. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan peringkat kelayakan kelas pelatihan berdasarkan kriteria yang telah ditentukan dan memberikan rekomendasi kelas yang dapat digunakan sebagai bahan pertimbangan dalam proses pengambilan keputusan. Hasil pengujian Black Box Testing menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan kebutuhan pengguna dengan tingkat keberhasilan sebesar 100%.
IMAGE SEGMENTATION OF YOGYAKARTA BATIK PATTERN USING SEGNET Nur Fahrudin, Irfan; Akbar, Mutaqin
Jurnal Riset Informatika Vol. 8 No. 2 (2026): Maret 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i2.491

Abstract

Batik is an Indonesian intangible cultural heritage with high artistic value. However, the complexity of classical Yogyakarta patterns, particularly Parang and Kawung, characterized by intricate structures, color variations, and indistinct boundaries, poses significant challenges for automated image processing. Therefore, image segmentation becomes a crucial step in batik identification and digitalization. This study aims to develop an efficient segmentation model for Yogyakarta batik patterns using a modified SegNet architecture. The dataset comprises 720 RGB images, consisting of 360 Parang pattern images and 360 Kawung pattern images. All images were processed into binary ground truth masks through a combination of K-Means Clustering and morphological operations. The SegNet architecture was modified into three encoder and decoder blocks, employing Conv2DTranspose for upsampling and a sigmoid activation function in the output layer. The model was trained for 50 epochs using the Adam optimizer and binary cross entropy loss function. Based on evaluation on the test dataset, the modified SegNet model achieved strong performance with an accuracy of 91.72%, a mean Intersection over Union of 77.23%, and a mean Dice Coefficient of 87.07%. Visual inspection of the prediction results further confirms the model’s ability to accurately separate pattern regions from the background. These findings demonstrate that the modified SegNet architecture performs well in segmenting Parang and Kawung batik patterns and shows strong potential for supporting future batik recognition and digitalization systems.
Co-Authors Adella Maharani, Putri Adrian, Reka Agung Firmansyah Agus Salim Ahsan, Moh An-Naufal Nuha, Alfian Anisyah Jatu Siti Nurjanah Aprisia Bahagia, Grace Arifadillah, Elang Arita Witanti Ascha, Nugrah Pratama Astri Wulandari Audita Nuvriasari Auditya, Yonathan Bagus Dwi Kurniawan, Bagus Dwi Bambang Agus Setyawan Budi Sulistiyo Jati Budi Sulistiyo Jati Budianto, Alexius Endy Dangin, Dangin Dian Kartika Sari, Dian Kartika Diski Ijtima Putri Dwiyati Pujimulyani Elsa Anggraini Maili Fajriansyah, Dede Febri Rahmadsyah Fiki Ertandi Firdaus Alfajar Sudarsih Hardiyanto, Andri Hendri Tri Cahya Leksana Ichlasia Ainul Fitri Ikram, Rauf Al Indah Susilawati Jeremias Quintino Tilman Junianto Bagas Prasetyo Kafilahudin, Fahrul Advis Kartadinata, Arifqi Khuzaini*, Nanang Kuswandaru, Kuswandaru Marfianto, Jodhy Dwi Muhammad Abdul Gofur Muhammad Ali Ma'mun Muhammad Pratiwo Muhammad Syadham, Syahrun Muhammad Syaifudin Musa, Rahmat Nafida Hetty Marhaeni Nanang Khuzaini, Nanang Nanik Triatmi Nugroho, Yassir Ahmad Nur Alamsyah Nur Fahrudin, Irfan Nurdiarti, Rosalia Prismarini Nusantara, Bondan Surya Pascal Munthe, Thimoty Prasetyaningrum, Putri Taqwa Primananda, Muhammad Izra Priyanto Putu Sangyoga, Titus Bintang Pekiek Rahmat Musa Ramos, Sarah Vega Refky Satria Bima Reny Yuniasanti Rio Setya Pambudi Rismanto, Septa Rivansyah Subagyo, Ibnu Riyanto, Agung Rizky, Muhammad Rafi Fajar Rofiqi, Lutfi Rohmad, Arinadi Nur Rosalia Prismarini Nurdiarti Saputra, Aldi Dwi Saputra, Andika Dwi Sari, Prima Wulan Sedyarsa, Hanif Fauzan Septa Rismanto Setyaningsih, Putry Wahyu Sidiq Purnomo, Agus Sri Muhammad Kusumantomo Subhan Bole Boly Supatman Supatman Umul Aiman Wakidi Wakidi Wibowo, Sigit Heri Wisnu Adi Yulianto Wulandari, Astri Yusanto, Yoga