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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Bulletin of Electrical Engineering and Informatics Jurnal Sarjana Teknik Informatika Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Bulletin of Electrical Engineering and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Mnemonic Journal of Digital Education, Communication, and Arts (DECA) Jurnal of Applied Multimedia and Networking International Journal of Advances in Data and Information Systems TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Walisongo Journal of Information Technology SinarFe7 Didaktika Religia Jurnal Informatika dan Teknologi Pendidikan Innovative: Journal Of Social Science Research Bulletin of Social Informatics Theory and Application Aksa : Jurnal Desain Komunikasi Visual Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Sains Komputer dan Sistem Informasi Jurnal Riset Multidisiplin dan Inovasi Teknologi Jurnal ilmiah teknologi informasi Asia
Fresy Nugroho
UIN Maulana Malik Ibrahim
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Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data Syawab, Moh Husnus; Arief, Yunifa Miftachul; Nugroho, Fresy; Kusumawati, Ririen; Crysdian, Cahyo; Almais, Agung Teguh Wibowo
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1321

Abstract

This study addresses the challenge of predicting the optimal placement of goods for expeditionary transportation. Efficient placement is crucial to ensure that goods are transported in a manner that maximizes space and minimizes the risk of damage. This study aims to develop a prediction system using the K-Nearest Neighbor (KNN) method, which is based on expert data from expedition vehicles. To evaluate the effectiveness of the KNN method, the researcher compared it with the Support Vector Machine (SVM) method. By doing so, they sought to determine which method delivers more accurate predictions for the optimal placement of goods. The test results revealed that the KNN method outperformed SVM, achieving a higher accuracy of 95.97% compared to SVM's 92.85%. Additionally, KNN demonstrated a lower Root Mean Square Error (RMSE) of 0.18, indicating more precise predictions, while SVM had an RMSE of 0.271. These findings suggest that KNN is the more effective method for predicting the optimal placement of goods in expeditionary transportation.
Perancangan Film Animasi 3D Nikmatnya Sholat Tahajud Menggunakan Metode Pose-to-Pose Najwa Mazaya, Nada Nadhira; Fadila, Juniardi Nur; Nugroho, Fresy
Jurnal Sarjana Teknik Informatika Vol. 9 No. 2 (2021): Juni
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v9i2.20882

Abstract

Animasi 3D bernuansa islami sudah mulai berkembang pesat di Indonesia. Hal ini memang benar adanya jika sudah mulai tersebar dan semakin populer diberbagai aplikasi media sosial. Hal tersebut menjadi pemicu kenaikan popularitas dari Animasi 3D terutama yang bernuansa islami. Pembuatan animasi 3D secara keseluruhan menggunakan komputer dan terdiri dari beberapa tahap yakni modelling, texturing/material, ringing, dan rendering, yang mana semuanya dilakukan secara digital pada software Blender. Metode yang digunakan adalah "Pose-to-Pose", yaitu metode yang mengutamakan dengan membuat gerakan kunci atau keypose sehingga dapat membuat gerakan akan lebih halus. Film animasi 3D ini dirancang dengan tujuan untuk mengedukasi dan menginformasikan tentang kenikmatan sholat tahajud. Tak hanya itu, animasi 3D ini juga menceritakan betapa pentingnya peran orang tua di kehidupan anaknya. Perancangan film animasi 3D yang dibuat diharapkan dapat menghasilkan sebuah film animasi yang dapat mengedukasi dan pastinya dapat mengetahui pesan moral yang telah  disajikan.
Perencanaan dan Pembuatan Animasi Tiga Dimensi dengan Muatan Nilai Islami yaitu “Antri itu Islam” Azzahra, Alivia; Hidayatullah, Fauzil; Asyhari, Hamzah Faizal; Nazira, Yuzema Mala; Nugroho, Fresy; Karami, Ahmad Fahmi
Jurnal Sarjana Teknik Informatika Vol. 12 No. 1 (2024): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v12i1.26484

Abstract

Di era digital saat ini banyak sekali alternatif untuk media belajar, salah satunya adalah animasi 3D. Perkembangan zaman sangat memudahkan orang tua, guru, dan tenaga didik lain untuk mengajarkan ajaran agama Islam kepada anak-anak. Animasi 3D menjadi salah satu alternatif yang paling banyak digunakan, selain mudah menarik perhatian anak, animasi 3D juga mudah dimengerti untuk anak-anak. Animasi 3D ini dapat berupa karakter animasi yang banyak digemari oleh anak-anak. Pembuatan karakter animasi “Antri Itu Islam” bisa menggunakan software “Blender”. Software ini sangat membantu dalam pembuatan animasi, pewarnaan animasi, pembuatan latar, serta pemberian struktur dan kontrol pada karakter 3D. Pembuatan animasi ini dapat membantu para tenaga pendidik maupun orang tua mengajarkan kepada anak-anak terkait nilai antri menurut ajaran Islam.
Penerapan Metode Keyframe dalam Pembuatan Animasi 3D “Echoes of Adzan” Nuraini, Salsabila Ramadanti; Biktarinanda, Arneizha; Ferelian, Muhammad; Nandana, Prana Wijaya Pratama; Nugroho, Fresy; Fadila, Juniardi Nur
Jurnal Sarjana Teknik Informatika Vol. 11 No. 3 (2023): Oktober
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v11i3.26512

Abstract

Animasi 3D telah menjadi bidang yang semakin penting dan populer dalam industri hiburan dan pengembangan visual. Artikel ini memperkenalkan penerapan metode Keyframe dalam pembuatan sebuah animasi 3D yang berjudul "Echoes of Adzan". Tujuan penelitian ini adalah menggambarkan metode Keyframe untuk digunakan secara efektif dalam menghasilkan animasi 3D secara realistis dan menciptakan pengalaman visual yang mendalam bagi penonton.Metode Keyframe digunakan sebagai pendekatan utama dalam desain karakter, pengaturan gerakan, ekspresi karakter, perencanaan konseptual, pembuatan lingkungan virtual, serta penentuan pose dan pergerakan kunci karakter melalui penggunaan Keyframe.Hasil penelitian ini menunjukkan bahwa penerapan metode Keyframe dalam pembuatan animasi 3D "Echoes of Adzan" mampumenghasilkan animasi 3D yang berkualitas tinggi dengan menghadirkan pergerakan yang halus, ekspresi wajah yang detail, dan kesan realistis pada karakter. Hasil ini dapat memberikan kontribusi positif bagi industri animasi 3D, terutama dalam menghasilkan konten yang memikat hati penonton.
Implementasi Metode Pose to Pose Dalam Perancangan Animasi 3D Islami “Belajar Puasa” Makarim, Muhammad Abyan; Baihaki, Achmad Fahry; Atmaja, Gumilang; Nugroho, Fresy; Karami, Ahmad Fahmi
Jurnal Sains Komputer dan Sistem Informasi Vol. 2 No. 1 (2024): Jurnal Sains Komputer dan Sistem Informasi
Publisher : PT. Gelora Cipta Nusantara

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

Abstract

Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis animasi 3D bertema "Belajar Puasa" menggunakan metode pose-to-pose. Dalam konteks pendidikan agama Islam, terdapat kesulitan dalam menyampaikan konsep adab dan praktik puasa kepada anak-anak dengan cara yang menarik dan mudah dipahami. Metode pose-to-pose dipilih karena memungkinkan pembuatan animasi dengan gerakan yang lebih dinamis dan realistis. Pengembangan animasi ini dilakukan menggunakan tahapan Multimedia Development Life Cycle (MDLC) yang terdiri dari enam tahap: concept, design, material collecting, assembly, testing, dan distribution. Hasil penelitian menunjukkan bahwa animasi yang dihasilkan mampu meningkatkan pemahaman anak-anak terhadap adab puasa dengan visual yang menarik dan interaktif. Pengujian alpha mengidentifikasi dan memperbaiki kekurangan dalam rigging karakter, sehingga gerakan animasi menjadi lebih halus. Evaluasi akhir dilakukan sebelum distribusi melalui platform online, memastikan animasi siap dikonsumsi oleh publik. Penelitian ini mengisi gap dalam pengembangan media edukatif berbasis animasi 3D yang fokus pada edukasi tentang puasa.
Penerapan Metode GA-TOPSIS untuk Sistem Seleksi Karakter Game dengan Pembobotan Dinamis Berbasis Sensor Suhu Prakasa, Aji Bagas; Nugroho, Fresy; Faisal, Muhammad; Lestari, Tri Mukti; N, Alfina Nurrahma; Taufiqulhakim, Adnan Muhammad
TIN: Terapan Informatika Nusantara Vol 6 No 1 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i1.7646

Abstract

This study aims to develop a decision support system for optimal character selection by implementing a hybrid Genetic Algorithm and TOPSIS (GA-TOPSIS) method that considers temporal variations in criterion weighting. The approach combines the optimization capability of Genetic Algorithms for automatic weight determination with the multi-criteria decision-making technique of TOPSIS. The research results demonstrate that GA optimization produces significant variations in weighting according to time scenarios: morning conditions dominated by Movement (82%), daytime emphasizing Height (52%) and Health (38%), and nighttime dominated by Defense (85%).Evaluation using TOPSIS yields different alternative rankings for each scenario. In morning conditions, alternative A4 achieves the highest score (0.83) due to its superiority in Movement criteria. The daytime scenario ranks A2 as optimal ( =0.90) because of its performance in Height and Health, while at night, A3 excels ( =0.89) with the best Defense. Result consistency is shown by A1 consistently ranking lowest due to minimal criterion values. This research makes important contributions to the development of adaptive decision support systems, particularly those requiring dynamic weight adjustments based on environmental changes. The potential integration with IoT technology for real-time weight updates adds value to the method's application.
PENGUATAN NILAI KARAKTER BAKTI ANAK TERHADAP ORANG TUA UNTUK GEN Z MELALUI ANIMASI 3D UWAIS AL-QARNI Wafiy Anwarul Hikam; Utama, Isma Izha; Arifin, Miftahul; Maharani, Elfira Putri; Nugroho, Fresy; Karami, Ahmad Fahmi
AKSA: Jurnal Desain Komunikasi Visual Vol. 8 No. 2 (2025): AKSA : Jurnal Desain Komunikasi Visual
Publisher : LP2M Sekolah Tinggi Seni Rupa dan Desain Visi Indonesia (STSRD VISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37505/aksa.v8i2.112

Abstract

This study examines the implementation of the value of devotion to parents through educational animation media, focusing on the inspiring story of Uwais al-Qarni. Uwais al-Qarni is known in Islamic history as a figure who showed extraordinary dedication to his mother. In an effort to revive these values, we developed an animation that aims to educate and inspire the audience, especially the younger generation. The animation creation process includes in-depth literature research, scenario and storyboard development, character design, and animation production and editing. The result is an animated work that is not only entertaining but also conveys a strong moral message about the importance of devotion to parents. Initial trials showed that this animation was effective in increasing audience awareness and understanding of these values. This study makes a significant contribution to the field of character education through digital media and demonstrates the potential of animation as an effective and engaging educational tool.
PENILAIAN KINERJA PEGAWAI DENGAN METODE TOPSIS DAN BACKPROPAGATION NEURAL NETWORK Yuliawan, Audi Bayu; Hariyadi, M. Amin; Kusumawati, Ririen; Crysdian, Cahyo; Nugroho, Fresy
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.7826

Abstract

Transformasi digital melalui penerapan Industri 4.0 dan e-Government telah mengubah paradigma administrasi publik, sehingga menuntut sistem evaluasi kinerja pegawai yang lebih adaptif dan objektif. Penelitian ini bertujuan untuk mengklasifikasikan kinerja pegawai ke dalam lima kategori, yaitu "sangat baik", "baik", "cukup", "buruk", dan "sangat buruk", dengan menggunakan pendekatan Neural Network Backpropagation. Metodologi yang digunakan mencakup beberapa tahapan utama, dimulai dari proses preprocessing data yang menge-lompokkan kriteria penilaian ke dalam empat aspek: kualifikasi, kom-petensi, kinerja, dan disiplin. Selanjutnya, dilakukan seleksi fitur menggunakan metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), dan hasilnya digunakan sebagai data pelatihan pada model Neural Network Backpropagation. Hasil pelati-han menunjukkan performa model yang cukup baik, dengan nilai loss dan Mean Squared Error (MSE) sebesar 0,000465, Mean Absolute Per-centage Error (MAPE) sebesar 19,59%, dan akurasi mencapai 80,41%. Sementara itu, hasil eksperimen dengan metode TOPSIS secara terpisah mencatat akurasi sebesar 81% dan nilai loss sebesar 0,377. Kombinasi metode TOPSIS dan Neural Network Backpropagation ter-bukti efektif dalam mengklasifikasikan kinerja pegawai secara konsis-ten. Temuan ini memberikan kontribusi terhadap pengembangan sis-tem evaluasi kinerja berbasis kecerdasan buatan yang lebih akurat dan adaptif terhadap tantangan administrasi publik modern.
ANALYSIS OF FUZZY K-NEAREST NEIGHBORS WITH KNN AND FUZZY LOGIC APPROACH ON DUCK BROILER PRODUCTION Mahmud, Azkiya; Nugroho, Fresy; Faisal, Muhammad; Harto, Sumber; Aljawad, Ulil Albab
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.7850

Abstract

Rapid growth and the ability to turn feed into valuable meat are two advantages of broiler ducks. The success of broiler duck production is reflected in measurable performance indicators such as mortality rate, feed consumption, final body weight, feed conversion ratio (FCR). There are still many disadvantages in the cage management pattern, one of the main factors is the high mortality rate. Therefore, based on the results of research on the subject of broiler duck production, researchers tried to analyze production elements using various data processing techniques, including artificial neural network-based clussification and fuzzy classifiers that have been proven to have very good results for classification data. However, in practice there are situations where the distribution of training and testing data is the same but different. From the results of the previous research analysis, the fuzzy k-nearest neighbor algorithm was used to process broiler duck production data. Based on the test results, the accuracy value of the KNN algorithm was 87%, and the accuracy value of fuzzy logic was 98%. Because the data that the researcher prepared had irregular characters which caused the KNN method to experience many errors during data processing. Furthermore, the researcher combined the KNN and Fuzzy Logic methods into fuzzy k-nearest neighbor. which with the FKNN method obtained an accuracy value of 83%. can optimize the KNN method which previously experienced many errors when processing data.
Adaptive Maze-Based Islamic Educational Games Using MOORA Method Nugroho, Fresy; Ridho, Muhammad; Melani, Roro Inda; Pebrianti, Dwi; Hammad, Jehad AH; Lestari, Tri Mukti; Maharani, Dian; Nurrahma ‘N, Alfina
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.100064

Abstract

The degradation of students' knowledge in Islamic education is increasingly concerning, driven by the negative influence of internet exposure. This study develops an educational game, Harta Karun Pengetahuan, as an interactive gamified learning medium incorporating core Islamic content. The game applies adaptive difficulty adjustment using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method based on player performance. The success of the MOORA method in providing recommendations for players is shown by how players will be directed to the next maze according to the success of the previous game. The game was tested with 20 students (aged 18–21) with two approaches evaluation, the System Usability Scale (SUS) and the Igroup Presence Questionnaire (IPQ), achieving an average SUS score of 84 (indicating high usability) and an overall IPQ score of 4.64 (indicating strong player immersion). Results showed that General Presence and Involvement had the highest average scores, indicating that players felt emotionally engaged and present in the virtual learning world. Although the Realism dimension was generally positive, it suggests room for improvement in visual and interactive fidelity. The findings demonstrate that integrating Islamic content into digital games can provide meaningful learning experiences and support students in achieving cognitive, affective, and psychomotor competencies in a contextual IRE setting.
Co-Authors Adnan Muhammad Taufiqulhakim Afiifah Zain Raidah Agung Teguh Wibowo Almais Ahmad Fahmi Karami Al Hamidy, Kautsar Quraisy Al Mahdi, Prayuda Zaky Alfarisi, Muhammad Firyal Alfia, Lia Alfia Aljawad, Ulil Albab Amani, Holidiyatul arfianto, farhan dzaffa Arief, Yunifa Miftachul Arif, Yunifa Mifachul Arif, Yunifa Miftahul Asyhari, Hamzah Faizal Atmaja, Gumilang Azhar Affandi Azzahra, Alivia Baihaki, Achmad Fahry Biktarinanda, Arneizha Cahyo Crysdian Dian Maharani, Dian Eko Mulyanto Yuniarno Fachri, Moch Fachrul Kurniawan Fadilaaa, Juniardi Nur Farid Ahmad Sa’aduddin Ferdianto, Akhmad Faizal Ferelian, Muhammad Hammad, Jehad A. H. Hammad, Jehad A.H. Hammad, Jehad AH Hani Nurhayati Harfianti, Nadya Putri Harto, Sumber Hidayatullah, Fauzil I Gusti Putu Asto Buditjahjanto Ida Ayu Putu Sri Widnyani Ihsan, Afif Nuril Ikhlayel, Mohammed Juniardi Nur Fadila Khomariyah, Aniek Nurul Lestari, Tri Mukti Maharani, Elfira Putri Mahmud, Azkiya Makarim, Muhammad Abyan Marudin, Marudin Mitachul Arif, Yunifa Mochamad Hariadi Mokhamad Amin Hariyadi Muhamad Husni Mubarok Muhammad Andryan Wahyu Saputra Muhammad Faisal Muhammad Faisal Muhammad Hasan Muhammad Ridho Mutaqin, Ghani Mutaqin, Rizal N, Alfina Nurrahma Najwa Mazaya, Nada Nadhira Nandana, Prana Wijaya Pratama Nazira, Yuzema Mala Novrindah Alvi Hasanah Nuraini, Salsabila Ramadanti Nurrahma ‘N, Alfina Nurrahma, Alfina Nurrahma’N, Alfina Pebrianti, Dwi Prakasa, Aji Bagas Pratama, Dicky Arya Puspa Miladin Nuraida Safitri A. Basid Raidah, Afiifah Zain Ririen Kusumawati Rohma, Salma Ainur Roro Inda Melani RR. Ella Evrita Hestiandari Sahary, Fitry Taufiq Sa’aduddin, Farid Ahmad Sifaulloh, Hafizzudin Suci Wulandari Suci Wulandari Sugiharto , Tomy Ivan Suhartono Suhartono Suyanta Suyanta Syawab, Moh Husnus Tamaulina Br Sembiring Tarranita Kusumadewi Taufiqulhakim, Adnan Muhammad Utama, Isma Izha Wafiy Anwarul Hikam Wibowo, Munif Yuliawan, Audi Bayu Yuniar Setyo Marandy Yunifa Miftachul Arif Zainal Abidin Zidan, Muhammad Zifora Nur Baiti