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All Journal Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research Knowledge Engineering and Data Science JIKO (Jurnal Informatika dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) JSI (Jurnal sistem Informasi) Universitas Suryadarma METIK JURNAL JISKa (Jurnal Informatika Sunan Kalijaga) Sains, Aplikasi, Komputasi dan Teknologi Informasi Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Sistem Informasi dan Sistem Komputer JNANALOKA Decode: Jurnal Pendidikan Teknologi Informasi JITSI : Jurnal Ilmiah Teknologi Sistem Informasi BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Sistem Informasi dan Bisnis Cerdas Smart Techno (Smart Technology, Informatic and Technopreneurship) Adopsi Teknologi dan Sistem Informasi Jurnal Ilmiah Sistem Informasi Pengabdian Kepada Masyarakat Bidang Teknologi dan Sistem Informasi Kreatif Teknologi dan SIstem Informasi
Setyadi, Hario Jati
Fakultas Ilmu Komputer Dan Teknologi Informasi, Universitas Mulawarman
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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Evaluasi Kepuasan Pengguna Aplikasi Weverse Menggunakan Model Unified Theory of Accepatance and Use of Technology 2 Pada Penggemar Korean Pop di Indonesia Setyowati, Agus Tri; Setyadi, Hario Jati; Islamiyah, Islamiyah
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 5 No. 2: JULI 2025
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v5i2.1113

Abstract

Weverse merupakan inovasi digital berupa aplikasi komunitas Penggemar K-Pop yang dirancang untuk memfasilitasi interaksi Penggemar dan idola. Namun, penelitian terkait dengan kepuasan pengguna aplikasi ini masih terbatas. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang memengaruhi kepuasan pengguna aplikasi Weverse menggunakan model Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) pada penggemar K-Pop di Indonesia. Metode yang digunakan adalah pendekatan kuantitatif. Sampel terdiri dari 400 responden penggemar K-Pop di Indonesia pengguna Weverse non-membership yang dipilih melalui teknik purposive sampling. Data dikumpulkan menggunakan kuesioner dan dianalisis melalui Partial Least Squares Structural Equation Modeling (PLS-SEM) menggunakan perangkat lunak SmartPLS 4. Hasil penelitian menunjukkan bahwa faktor habit, social influence, dan facilitating conditions menjadi faktor utama dalam meningkatkan kepuasan pengguna dan penggunaan aplikasi, sementara faktor lain seperti performance expecrancy, effort expectancy, dan hedonic motivation masih perlu ditingkatkan. Disarankan untuk peneliti selanjutnya dapat menganalisis perbedaan pengaruh variabel terhadap pengguna Weverse membership dan non-membership.
Penerapan AI Agent Berbasis n8n untuk Otomatisasi  Operasional Pertanian Muhammad Rofiif Taqiyyuddin Nabiil; Hario Jati Setyadi; Akhmad Irsyad
METIK Jurnal Vol. 10 No. 1 (2026): METIK Jurnal Issue Published
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/2z461g10

Abstract

This study aims to develop an artificial intelligence–based agricultural automation system by integrating an AI Agent with the n8n workflow automation platform. The development addresses common challenges in agricultural operations that remain manual, such as recording daily activities, scheduling reminders for fertilization and harvesting, and limited access to real-time weather information. The system was developed using the Waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The proposed system integrates several components, including WhatsApp as the main user interface, n8n as the workflow controller, WAHA as the communication bridge, Google Sheets as the digital database, and an AI Agent for user query processing and recommendation generation. The Black Box Testing results show that all core functions operate as expected, covering activity recording, automatic reminders, recommendation delivery, and weekly report generation. The User Acceptance Test achieved a satisfaction score of 85 percent, categorized as very good, indicating that the system is user-friendly, responsive, and beneficial for improving agricultural efficiency. This research contributes to the advancement of AI-based information systems in the agricultural sector and demonstrates that integrating an AI Agent with n8n is an effective solution for supporting agricultural digitalization and implementing smart farming at the village level.
UI/UX Design Of A Peer Counseling Website For Universitas Mulawarman Students Using The Design Thinking Method Suharizman Poerwo, Najwa Caesa Putri Ramadhania; Hario Jati Setyadi; Muhammad Labib Jundillah
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

This study aimed to design a UI/UX-based website for peer counseling services at Universitas Mulawarman to improve accessibility and user experience. The existing counseling service, known as CIRCLE, had limited awareness and relied on non-integrated platforms, which reduced its effectiveness in meeting students’ needs. A user-centered approach was applied using the Design Thinking method, consisting of empathize, define, ideate, prototype, and test stages. Data were collected through surveys and in-depth interviews to identify user problems and expectations. The design process was carried out using Figma, including the development of wireframes, style guides, mockups, and interactive prototypes. Visual enhancements such as 3D icons were also applied to create a more engaging interface. The prototype was evaluated through usability testing using Maze and a System Usability Scale questionnaire. The results showed that the designed interface improved user understanding, navigation, and overall experience. The evaluation produced an average usability score of 77, indicating that the system was acceptable and easy to use. These findings demonstrated that a user-centered UI/UX design could enhance the effectiveness, accessibility, and usability of peer counseling services for university students.
Handwriting Character Recognition usingVector Quantization Technique Haviluddin, Haviluddin; Alfred, Rayner; Moham, Ni’mah; Pakpahan, Herman Santoso; Islamiyah, Islamiyah; Setyadi, Hario Jati
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

This paper seeks to explore Learning Vector Quantization (LVQ) processing stage to recognize The Buginese Lontara script from Makassar as well as explaining its accuracy. The testing results of LVQ obtained an accuracy degree of 66.66 %. The most optimal variant of network architecture in the recognition process is a variation of learning rate of 0.02, a maximum epoch of 5000 and a hidden layer of 90 neurons which was the result of recognition based on feature 8. Based on these variations, the obtained performance with a mean square error (MSE) of 0.0306 and the time required during the learning process was quite short, 6 minutes and 38 seconds. Based on the results of the testing, the LVQ method has not been able to provide good recognition results and still requires development to generate better recognition results.
Comparative Analysis of BPNN and LVQ for Sundanese Character Recognition Haviluddin, Haviluddin; Pakpahan, Herman Santoso; Nurpadillah, Dinda Izmya; Setyadi, Hario Jati; Taruk, Medi; Alfred, Rayner
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The Sundanese script (Aksara Sunda), an essential part of Sundanese cultural heritage, has been used since the 14th century AD. However, recognizing handwritten Sundanese characters remains challenging due to variations in individual writing styles. This study compares the performance of Backpropagation Neural Network (BPNN) and Learning Vector Quantization (LVQ) for recognizing handwritten Sundanese vowel (Swara) characters. A dataset was collected from 15 individuals, each writing seven Sundanese vowel characters, which were then used for training and testing the recognition models. Experimental results show that BPNN outperforms LVQ, achieving a higher classification accuracy (95.23%), lower Mean Squared Error (MSE), and faster convergence compared to LVQ, which reached a maximum accuracy of 66.66%. Additionally, BPNN demonstrated better generalization and robustness. At the same time, LVQ was highly sensitive to learning rate variations, leading to unstable accuracy and slower training times. The findings highlight that BPNN is a more effective model for Sundanese script recognition, providing a reliable approach for preserving and digitizing traditional scripts. Future research should explore hybrid models, deep learning approaches, and larger datasets to enhance recognition accuracy and system robustness.
Pemanfaatan Canva dan Aplikasi Pendukung dalam Pembuatan Poster Digital untuk Meningkatkan Keterampilan Desain Siswa SMPN 41 Samarinda Muhammad Luqman; Muhammad Arifin Dava; Nova Nur Fauziah; Muhammad Arsy Al Fahd; Reyfaldho Alfarazel; Asnan Fadjri Wahyudi; Nurul Asmita; Muhammad Faisal Ramdhani; Nindya Pramudita; Muhammad Shofwan Fikriyannur; Putut Pamilih Widagdo; Hario Jati Setyadi; Muhammad Fawaz Saputra; Riftika Rizawanti
Pengabdian kepada Masyarakat Bidang Teknologi dan Sistem Informasi (PETISI) Vol. 4 No. 1 (2026): Pengabdian Kepada Masyarakat Bidang Teknologi dan Sistem Informasi
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/petisi.v4i1.4573

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan siswa dalam membuat media komunikasi visual berupa poster dengan memanfaatkan platform desain digital. Perkembangan teknologi saat ini memberikan kemudahan dalam proses pembuatan desain grafis, salah satunya melalui penggunaan Canva. Namun, tidak semua siswa mampu memanfaatkan fitur-fitur yang tersedia secara optimal. Oleh karena itu, pelatihan lanjutan ini dilaksanakan dengan fokus pada pemanfaatan berbagai tools desain yang tersedia di Canva, seperti texture, choppy crop, transform image, dan trace to frame. Selain itu, pelatihan ini juga mengulas penggunaan berbagai tools pendukung di luar Canva yang dapat membantu proses desain, seperti sumber inspirasi visual, penyedia aset desain, serta tools pengolahan gambar. Metode yang digunakan meliputi penyampaian materi, demonstrasi, serta praktik langsung. Hasil kegiatan menunjukkan bahwa terjadi peningkatan pemahaman siswa, ditandai dengan bertambahnya jumlah peserta pada kategori “Sangat Paham” dari 40% menjadi 60% atau meningkat sebesar 20%. Selain itu, terjadi penurunan pada kategori “Cukup Paham” dari 60% menjadi 40%, yang menunjukkan adanya pergeseran pemahaman ke tingkat yang lebih tinggi. Secara keseluruhan, peserta mampu memahami penggunaan tools desain secara lebih efektif serta memanfaatkan berbagai sumber pendukung dalam menghasilkan karya poster yang lebih kreatif dan menarik. Kegiatan ini memberikan dampak positif dalam meningkatkan keterampilan desain serta literasi digital siswa.
Implementasi QGIS untuk Visualisasi Persebaran Objek Wisata di London, Inggris Hani Purwanti; Juliani Tangke; Inani Inani; Hario Jati Setyadi; Dyna Marisa Khairina; Muhammad Fawaz Saputra; Muhammad Ibadurrahman Arrasyid Supriyanto
Kreatif Teknologi dan Sistem Informasi (KRETISI) Vol. 4 No. 1 (2026): Kreatif Teknologi dan Sistem Informasi (KRETISI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/kretisi.v4i1.368

Abstract

Penelitian ini membahas pemetaan objek wisata di Kota London, Inggris, menggunakan Sistem Informasi Geografis (SIG) untuk menyajikan informasi lokasi wisata secara lebih jelas, terstruktur, dan mudah dipahami. Penelitian ini bertujuan untuk mengetahui lokasi, karakteristik, dan persebaran objek wisata di Kota London sehingga dapat membantu wisatawan memperoleh informasi destinasi secara lebih cepat dan akurat. Metode yang digunakan adalah deskriptif kualitatif dengan memanfaatkan data spasial dan data atribut objek wisata. Proses penelitian dilakukan dengan menentukan objek wisata, mengumpulkan data lokasi, mengolah data dalam Microsoft Excel, serta menganalisis dan memvisualisasikannya menggunakan Quantum GIS (QGIS) dengan bantuan Google Earth untuk memperoleh titik koordinat. Hasil penelitian menunjukkan bahwa terdapat 10 objek wisata terkenal di Kota London yang dapat dikelompokkan ke dalam dua jenis utama, yaitu wisata budaya atau bersejarah dan wisata buatan. Pemetaan yang dihasilkan mampu menampilkan titik lokasi serta persebaran objek wisata di beberapa kawasan strategis Kota London, terutama di pusat kota dan sekitar Sungai Thames. Dengan demikian, SIG berbasis QGIS dapat digunakan sebagai media informasi spasial yang efektif untuk mendukung penyajian informasi pariwisata di Kota London.
Co-Authors Adiputra, Dimas Bayu ahmad arifin Ahmad Yunus Aji Prasetya Wibawa Al Hidayat, Muhammad Restu Al'Aqsa, Muhammad Ramadhan Alifia, Shafa Nur Aljidannur, Andi Muhammad Rivaldy Amal, Fakhmul Amin Padmo Azam Masa Amin Padmo Azam Masa Andika, Arya Bhima Anggraini, Nela Dwi Anton Prafanto Apriansyah, Muhammad Dandi Aprilia, Trisna Aprilianto, Riky Ardana, Utari Widya Ari Pradhana, Alvin Arif, Afdinal Arinda Mulawardani Kustiawan Arviani, Syilla Asnan Fadjri Wahyudi Aulia, Hadriani Avivah, Nur Ayu Rusnawati Azhari, Ikmal Ali Badaruddin Bin Halib Basani, Yuniarta Budiman, Edy Budiman, Edy Chrisman Bonor Sinaga Dinda Izmya Nurpadillah Dwicky Ari Pandawa Dyna Marisa Khairina Fadhilah, Farah Fahriza, Ridho Fajar Syafatoni Raihanadif Fakhmul Amal Felix Andika Dwiyanto Galih Yudha Saputra Ghalda Melika Gibrani, Muhammad Raza Daffa Gubtha Mahendra Putra Hairunnisa, Namira Aida Handoko, Heldi Hani Purwanti Harianto, Biko Harsyal Kila, Hiskya Hasman, Firnawan Azhari Haviluddin Haviluddin Herman Santoso Pakpahan Husyairi, Rizani Ibrahim , Muhammad Rivani Ibrahim, Muhammad Rivani Inani Inani Indah Fitri Astuti, Indah Fitri Indra Maulana` Indra Maulana Irsyad, Akhmad Islamiyah Islamiyah Islamiyah Islamiyah Islamiyah Islamiyah Islamiyah, Islamiyah Juliani Tangke Jundillah, Muhammad Labib Kamila, Vina Zahrotun Kelvin Wong Kusumawardani, Aditya Putri Listiana Dewi Milasari Madani, Mohammad Ichsan Masa, Amin Padmo Azam Mifthahuddin, Mifthahuddin Mila Kartika Sari Moham, Ni’mah Muhamad Ali Muhammad Arifin Dava Muhammad Arsy Al Fahd Muhammad Bambang Muhammad Faisal Ramdhani Muhammad Fawaz Saputra Muhammad Hisyam Nugroho Muhammad Ibadurrahman Arrasyid Supriyanto Muhammad Labib Jundillah Muhammad Labib Jundillah Muhammad Labib Jundillah Muhammad Luqman Muhammad Rofiif Taqiyyuddin Nabiil Muhammad Shofwan Fikriyannur Muhammad Zulfariansyah Nadia Nadia Nasrullah, Ryanda Putra Nataniel Dengen Nazwa Tri Ananda Nindya Pramudita Ni’mah Moham Ni’mah Moham Nova Nur Fauziah Novianti Puspitasari Nurlaila Nurlaila Nurpadillah, Dinda Izmya Nurul Asmita Nurwahyu, Ferryza Prafanto, Anton Prasetya, Raya Priantono, Ahmad Agung Purnawansyah Purnawansyah Puspitasari, Novianti Putra, Gubtha Mahendra Putut Pamilih Widagdo Putut Pamilih Widagdo Putut Pamilih Widagdo, Putut Pamilih Rabbani , Khalid Mu’afi Rabbani, Zaki Fauzan Rahmad Fitrianto Ramadiani Ramadiani - Rapiq, Rayhan Abdilah Rara Puspa Aisyah Rayhan Fadlur Rahman Rayner Alfred Rayner Alfred Reyfaldho Alfarazel Reza Wardhana Riftika Rizawanti Ririn Yuliani Azahra Zardan Rosita Dewi Rosmasari Rosmasari, Rosmasari Ryan Afriadi Whardana Sagita, Andi Yolanda Sandrina Aulia Saputra, Muhammad Fawaz Saputra, Muhammad Rizq Sari, Upik Kumala Setyowati, Agus Tri Shiva Mutia Maffirotin Sidabutar, Erni Veronica Siti Solikah Yosi Karinda Suharizman Poerwo, Najwa Caesa Putri Ramadhania Supriono Supriono Supriyanto, Muhammad Ibadurrahman Arrasyid Taruk, Medi Tejawati, Andi Tobing, Christina Febriyanti Ulhaq, Dhiya Untu, Zainuddin Untu Upik Kumala Sari Utama, Chorine Jessica Vina Zahrotun Kamila Wage Jason Wahyu Kesuma Bakti Wahyudi, Asnan Fadjri Wanda, Awang Muhammad Trielevy Wardana, Romy Hakim Wardhana, Reza Wati, Masna Widagdo , Putut Pamilih Wong, Kelvin