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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnas Nasional Teknologi dan Sistem Informasi JUPITER (Jurnal Pendidikan Teknik Elektro) Indonesian Journal of Applied Informatics Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika JATI (Jurnal Mahasiswa Teknik Informatika) SKANIKA: Sistem Komputer dan Teknik Informatika Journal of Sustainable Technology and Applied Science Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) International Journal of Educational Best Practices SEMINAR NASIONAL SOSIAL, SAINS, PENDIDIKAN, HUMANIORA
Agung Panji Sasmito
Institut Teknologi Nasional Malang
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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisis Sentimen Potensi Gempa Megathrust di Indonesia Menggunakan Random Forest Mikhael Christian; Agung Panji Sasmito; Hani Zulfia Zahro'
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95469

Abstract

Abstrak :Pada bulan Agustus tepatnya di tahun 2024, berita mengenai adanya potensi gempa megathrust di Indonesia membuat kalangan warga internet heboh salah satunya di media sosial X. Hal ini menimbulkan kekhawatiran dan adanya perbedaan sudut pandang dalam menanggapi berita ini di kalangan masyarakat terlebih para pengguna media sosial. Dikarenakan Indonesia sendiri memiliki 13 zona subduksi yang tersebar di beberapa wilayah. Zona subduksi sendiri merupakan pertemuan antar lempeng besar yang saling bertubrukan dan dapat mengakibatkan gempa megathrust. Akan tetapi, terdapat dua zona yang hangat diperbincangkan, yaitu Megathrust Mentawai-Siberut dan Selat Sunda. Penelitian ini bertujuan untuk mengevaluasi reaksi masyarakat online dalam menanggapi isu megathrust. Pendekatan yang akan digunakan dalam penelitian ini adalah metode Random Forest, yang dikenal mampu menangani data yang besar dan akurasi yang dihasilkan tinggi. Tahapan pengolahan data meliputi pembersihan teks (cleaning), case folding, normalisasi, tokenisasi, penghapusan stopword, stemming, serta adanya evaluasi model. Data yang digunakan untuk melakukan pelatihan dan pengujian berasal dari tweet dengan kata kunci megathrust. Hasil pengujian menggunakan data latih sebanyak 136 data dan menghasilkan nilai recall 84.38%, precision sebesar 71.05%, dan accuracy sebesar 63.24% dalam mengklasifikasikan sentimen netral. Penelitian ini diharapkan dapat membantu lembaga pemerintahan dan organisasi sadar bencana memahami persepsi masyarakat di dunia maya. Dengan wawasan ini, lembaga terkait dapat lebih efektif dalam merancang strategi komunikasi, penyuluhan, serta mitigasi risiko, sehingga mendukung peningkatan kesiapsiagaan bencana di Indonesia.===================================================Abstract :In August, in 2024, news of a potential megathrust earthquake in Indonesia caused a stir among internet citizens, including on social media X. This caused concern and different perspectives on this news among the public, especially social media users. This caused concern and different points of view in responding to this news among the public, especially social media users. Indonesia itself has 13 subduction zones spread across several regions. The subduction zone itself is a meeting between large plates that collide with each other and can cause megathrust earthquakes. However, there are two zones that are hotly discussed, namely the Mentawai-Siberut Megathrust and the Sunda Strait. This study aims to evaluate the reaction of online communities in responding to the megathrust issue. The approach that will be used in this research is the Random Forest method, which is known to be able to handle large data and high accuracy. Data processing stages include text cleaning, case folding, normalization, tokenization, stopword removal, stemming, and model evaluation. The data used to conduct training and testing comes from tweets with megathrust keywords. The test results used 136 training data and produced a recall value of 84.38%, precision of 71.05%, and accuracy of 63.24% in classifying neutral sentiment.  This research is expected to help government agencies and disaster awareness organizations understand public perception in cyberspace. With this insight, related institutions can be more effective in designing communication strategies, counseling, and risk mitigation, thus supporting the improvement of disaster preparedness in Indonesia
Prediksi Persediaan Penjualan Kacamata Pada Optik XYZ Menggunakan Metode Double Exponential Smoothing Agnus Dei Dharma Prawira; Sentot Achmadi; Agung Panji Sasmito
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.98396

Abstract

Abstrak : Perkembangan pesat dari teknologi membawa dampak yang positif maupun negatif bagi masyarakat, salah satu dampak negatif tersebut adalah penurunan daya penglihatan akibat radiasi sinar biru dari perangkat elektronik yang mengakibatkan penggunaan kacamata menjadi sesuatu yang penting. Hal tersebut membuat industri optik, seperti Optik XYZ yang berada di Kota Malang mengalami perkembangan yang sangat signifikan beriringan dengan kepedulian masyarakat akan kesehatan mata. Namun Optik XYZ dihadapi dengan tantangan dalam melakukan prediksi penjualan karena tidak ada sistem yang memadai, mengakibatkan kekurangan dan kelebihan pada persediaan penjualan, hal tersebut berdampak pada tingkat kepuasan pelanggan dan manajemen modal. Penelitian ini bertujuan untuk membangun sistem prediksi persediaan penjualan dengan menggunakan metode Double Exponential Smoothing (DES) berdasarkan data penjualan historis pada 1 Januari 2022 sampai dengan 31 Oktober 2024. Hasil penelitian ini menunjukkan bahwa sistem yang dibangun mampu meramalkan penjualan produk per hari dengan alpha optimal yaitu 0,1 berdasarkan nilai Mean Absolute Error (MAE) terkecil yaitu sebesar 0,915 untuk produk frame dengan nilai prediksi 1. Pada sistem yang dibangun juga telah dilakukan pengujian kompatibilitas, blackbox, dan pengguna dimana menghasilkan sistem dapat dijalankan tanpa kendala pada Safari, Google Chrome, dan Mozila Firefox====================================================Abstract : The rapid development of technology has both positive and negative impacts on society, one of the negative impacts is decreased vision due to blue light radiation from electronic devices which makes the use of glasses something important. This makes the optical industry, such as Optik XYZ in Malang City, experience very significant development along with public concern for eye health. However, Optik XYZ is faced with challenges in making sales predictions because there is no adequate system, resulting in shortages and excesses in sales inventory, this has an impact on customer satisfaction levels and capital management. This study aims to build a sales inventory prediction system using the Double Exponential Smoothing (DES) method based on historical sales data from January 1, 2022 to October 31, 2024. The results of this study indicate that the system built is able to predict product sales per day with an optimal alpha of 0.1 based on the smallest Mean Absolute Error (MAE) value of 0.915 for frame products with a prediction value of 1. Compatibility, blackbox, and user testing have also been carried out on the system built, which results in the system being able to run without problems on Safari, Google Chrome, and Mozilla Firefox.
Sistem Pendukung Keputusan Prestasi Siswa SMA Negeri 1 Pronojiwo Menggunakan Metode Topsis Nadya Intan Rayyano; Agung Panji Sasmito; Hani Zulfia Zahro'
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 1 (2026): Januari
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i1.415

Abstract

Abstrak: Penentuan siswa berprestasi di SMA Negeri 1 Pronojiwo masih bersifat manual dan subjektif karena belum adanya website layanan Bimbingan dan Konseling (BK) sebagai pusat data terpadu. Akibatnya, data seperti nilai akademik, kehadiran, kedisiplinan, dan prestasi non-akademik tersebar dan sulit diolah secara objektif. Penelitian ini merancang sistem web berbasis metode TOPSIS untuk menilai siswa berprestasi secara objektif dan efisien. Sistem dikembangkan berdasarkan empat kriteria tersebut dan diuji melalui Black Box Testing. Hasil menunjukkan sistem mampu menghitung perangkingan secara otomatis, akurat, dan konsisten dengan validasi manual. SPK ini meningkatkan efisiensi, transparansi, dan keadilan dalam penilaian. Penelitian ini dapat menjadi referensi penerapan SPK berbasis TOPSIS di sekolah menengah.Kata kunci : Sistem Pendukung Keputusan, TOPSIS, Prestasi SiswaAbstract: The selection process for outstanding students at SMA Negeri 1 Pronojiwo is still conducted manually and tends to be subjective due to the absence of an integrated web-based Guidance and Counseling (BK) platform. Consequently, essential data such as academic performance, attendance, discipline, and non-academic achievements are scattered, making it difficult to analyze them objectively. This study aims to develop a web-based decision support system utilizing the TOPSIS method to evaluate outstanding students in a more objective and efficient manner. The system is designed using four key criteria and tested using Black Box Testing. The results indicate that the system is capable of generating rankings automatically, accurately, and consistently when compared to manual validation. This decision support system enhances the efficiency, transparency, and fairness of the assessment process. The findings of this research may serve as a reference for implementing TOPSIS-based decision systems in secondary education settings.Keywords: Decision Support System, TOPSIS, Student Achievement
PEMBUATAN GAME 3D “GET IT DONE” MENGGUNAKAN METODE FINITE STATE MACHINE BERBASIS DEKSTOP Dhori Novanda Azza; Sasmito, Agung Panji; Wahyuni, Febriana Santi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6932

Abstract

Penelitian ini membahas tentang pengembangan game 3D Get It Done berbasis desktop dengan penerapan metode Finite State Machine (FSM) sebagai pengatur perilaku karakter Non Playable Character (NPC). Game ini dikembangkan dengan genre Action dan First Person Shooter (FPS), yang bertujuan tidak hanya sebagai hiburan tetapi juga sebagai media edukatif untuk meningkatkan kesadaran terhadap tanggung jawab dan konsekuensi dari tindakan kriminal. FSM digunakan untuk mengatur transisi perilaku NPC, seperti patroli, mengejar, menyerang, dan mati, berdasarkan kondisi dan jarak pemain. Pengujian dilakukan melalui uji fungsional dan uji metode FSM untuk memastikan logika permainan berjalan sesuai rancangan, serta melalui kuesioner kepuasan pengguna. Hasil penelitian menunjukkan bahwa seluruh fitur berjalan baik dan perilaku NPC sesuai dengan yang direncanakan, dengan tingkat penerimaan pengguna mencapai lebih dari 80%. Dengan demikian, implementasi FSM pada game Get It Done dinilai efektif dalam menciptakan interaksi yang realistis dan meningkatkan pengalaman bermain pemain.
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI FLOQ SEBAGAI PLATFORM INVESTASI KRIPTO DI INDONESIA MENGGUNAKAN INDOBERT Mahendra, Bintang Aqil; Sasmito, Agung Panji; Rudhistiar, Deddy
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.7009

Abstract

Meningkatnya adopsi platform investasi aset kripto di Indonesia memerlukan evaluasi sistematis terhadap respons pengguna melalui pendekatan analisis sentimen. Penelitian ini menganalisis opini publik terhadap aplikasi FLOQ sebagai platform investasi kripto lokal dengan memanfaatkan model IndoBERT yang telah di-fine-tune. Dataset penelitian terdiri dari 6.669 ulasan berbahasa Indonesia yang diperoleh dari Google Play Store pada periode Mei hingga Oktober 2025 menggunakan metode web scraping. Pelabelan awal sentimen dilakukan dengan model RoBERTa W11WO, kemudian hasil pelabelan tersebut digunakan dalam proses fine-tuning model IndoBERT dengan tiga skema pembagian data, yaitu 70:30, 80:20, dan 90:10. Evaluasi kinerja model dilakukan menggunakan metrik accuracy, precision, recall, dan F1-score. Hasil pengujian menunjukkan bahwa skema pembagian data 70:30 menghasilkan performa terbaik dengan nilai accuracy sebesar 93,95% dan F1-score sebesar 0,87. Distribusi sentimen menunjukkan dominasi opini positif sebesar 76,1%, diikuti oleh sentimen negatif sebesar 13,4% dan netral sebesar 10,5%. Analisis aspek bisnis terhadap lima dimensi layanan menunjukkan bahwa aspek usability memperoleh sentimen positif tertinggi sebesar 92,63%, sementara aspek Keamanan memiliki proporsi sentimen negatif tertinggi sebesar 18,15%. Temuan ini menunjukkan bahwa model IndoBERT efektif dalam mengklasifikasikan sentimen ulasan berbahasa Indonesia serta memberikan masukan berbasis data bagi pengembangan layanan dan fitur aplikasi FLOQ sebagai platform investasi aset kripto lokal.
Designing Instagram Content for Brand Identity and Brand Awareness of Fashion Products (Case Study of Small and Medium Enterprise Vie Collections) Prasetyo, Dian; Adriantantri, Emmalia; Sasmito, Agung Panji
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 3 (2026): FEBRUARI
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i3.1124

Abstract

The development of social media as a digital marketing tool provides opportunities for micro, small, and medium enterprises (MSMEs), particularly in the fashion industry, to build brand identity and increase brand awareness. This study aims to design social media content to strengthen brand identity and enhance brand awareness for Vie Collections MSMEs. The research employs a Research and Development (R&D) method, including needs analysis, product design, expert validation, and product revision. Data were collected through observation, interviews with MSME owners, documentation, and literature studies on branding and digital marketing. The developed products are a Brand Content Kit and a Content Playbook, serving as guidelines for brand identity and social media content management strategies on Instagram. Data analysis used simple qualitative and quantitative descriptive methods, with expert assessment via the Content Validity Index (CVI) method. Results indicate that both the Brand Content Kit and Content Playbook achieved CVI scores in the valid and usable category. The design effectively represents the brand’s character, maintains visual and verbal consistency, and has potential to enhance brand recognition and recall through structured social media content. In conclusion, designing Instagram content through the Brand Content Kit and Content Playbook can serve as a strategic solution for Vie Collections MSMEs to build brand identity and increase brand awareness. Further research is recommended to evaluate the effectiveness of implementation over time and to incorporate additional variables for more comprehensive insights.
VALIDITY OF SOCIAL MEDIA VIDEO CONTENT AS A PROMOTIONAL MEDIA FOR SURABAYA'S CULINARY TOURISM CENTER (CASE STUDY: SUKOMANUNGGAL CULINARY TOURISM CENTER) Muhammad Fajar Fazriyana; Emmalia Adriantantri; Reiny Ditta Myrtanti; Agung Panji Sasmito
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 2 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

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

Abstract

Culinary tourism in Surabaya offers significant potential to support the regional economy, yet digital promotion remains underutilized. One example is the Sukomanunggal Culinary Tourism Center (SWK), which offers a variety of local specialties, yet its social media promotion remains minimal. This is despite current trends showing users preferring short, informative and engaging video content. This study aims to analyze social media video content as a promotional medium for the Sukomanunggal Culinary Tourism Center, focusing on the design, expert validation, and testing stages with the target audience. The method used was Research and Development (R&D) with the 4D model (Define, Design, Development, Disseminate). Instruments included observation, questionnaires, and an expert validation rubric. The results showed that a 60-second promotional video with a cinematic and storytelling approach effectively attracted audience attention, conveyed the uniqueness of local cuisine, and increased visitor interest. Expert validation stated that the video met technical, aesthetic, and promotional message effectiveness standards, while the audience response test yielded a feasibility score above 86%. The conclusion of this study proves that social media-based promotional video design is effective in increasing the visibility and attractiveness of SWK.
Co-Authors Abdul Wahid Aditya Prasetyo, Rizki Agnus Dei Dharma Prawira Agung Laksono, Rachmad AHMAD FAISOL Alan Pambudi, Noval Ali Mahmudi Alifsyah, M Putra Ayu Setyaningrum, Amelya Balqis Bintang Paramita Basuki Widodo Bere, Stevania Casimiro, Laurensius Deddy Rudhistiar Deran Koli, Diana Dhori Novanda Azza Dian Prasetyo Djoko Kustono Ega Prtama, Juniko Eka Saputra, Farhan Emalia Ismayana, Vionika Emmalia Adriantantri Emmalia Adriantantri Fadly, Erviansyah Farrel Arrazzaq, Muhammad Fazriyana, Muhammad Fajar Febriana Santi Wahyuni Febrianto, Andy Firmansyah Firmansyah Firmansyah, Mohamad Agung Ghifari, Moch Azhar Al Hakkun Elmunsyah Hani Zulfia Zahro Hasfa, Firmansyah IKA NURFARIDA Ilham Ali, Muhammad Karina Auliasari Khanan Alqutbhi, Latief Khoiru Nurdina, Arista Laksita Anastasya Karmanto, Jennie M Mei Fajar Nurokhim Arifki M. Ibrahim Ashari Mahendra, Bintang Aqil Mikhael Christian Muhammad Fajar Fazriyana Mukhamad Alfian, Deska Muklis, Abdul Halim Nadya Intan Rayyano Ni Putu Agustini Novika Maharani, Lola Nurien Windiantika, Berliana Nurlaily Vendyansyah Nurulita Imansari Prayoga, Andrian Primaswara Primaswara, Renaldi Primaswara, Renaldi Purnomo, Purnomo Ramadhan, Naufalamim Ramadhan, Suryanto Rangga Saputra, Aulya Reiny Ditta Myrtanti Reiny Ditta Myrtanti Revano Budiansyah, Moch Rizal Yusuf, Muhammad Rizky Genta Ananda, Muhammad Rodyah Wati, Fatimah Rofila El Maghfiroh Sentot Achmadi sudarmawan, putu adi Sura, Yudistira Samuel Suryo Adi Wibowo Tresna Utama, Abi Tri Budi Setiawan, Ibadurrahman Weka Prakosa Adi, Nitis Xaverius Ariwibisono, Fransiskus Yosep Agus Pranoto Zulfia Zahro’, Hani