Article Per Year (5 Year)
p-Index From 2021 - 2026
7.404
P-Index
This Author published in this journals
All Journal Information Technology and Telematics Dinamik Jupiter Publikasi Eksternal Jurnal Buana Informatika Pixel : Jurnal Ilmiah Komputer Grafis JUITA : Jurnal Informatika Proceeding SENDI_U Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Manajemen Informatika dan Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Aiti: Jurnal Teknologi Informasi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) International Journal of Social Learning (IJSL) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) Maritime Park: Journal Of Maritime Technology and Socienty Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Eduvest - Journal of Universal Studies Seminar Nasional Teknologi dan Multidisiplin Ilmu Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) INOVTEK Polbeng - Seri Informatika
Eri Zuliarso
Universitas Stikubank
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Other

Published : 77 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 77 Documents
Search

 4   5   6   7   8 
Mapping the Potential of Prospective New Students Utilizing K-Means and Fuzzy C-Means Clustering Fathoni, Ahmad; Zuliarso, Eri; Toman, Sarah Husain
International Journal of Social Learning (IJSL) Vol. 6 No. 1 (2025): December
Publisher : Indonesian Journal Publisher in cooperation with Indonesian Social Studies Association (APRIPSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijsl.v6i1.481

Abstract

UIN Walisongo Semarang has implemented outreach initiatives to engage prospective students, but these endeavors often lack data-informed approaches. This research intends to analyze the potential of incoming students through K-Means and Fuzzy C-Means (FCM) clustering techniques. The dataset comprises admission information from 2022 to 2024, focusing on five key factors: gender, admission pathway, study program, school type, and geographic origin. Data preprocessing was performed before conducting the clustering analysis. The Elbow Method and Silhouette Score were utilized to identify the optimal K for K-Means, whereas the Fuzzy Partition Coefficient and Xie-Beni Index were applied for FCM. Findings indicate that K-Means generated more distinct cluster boundaries, while FCM provided adaptability with overlapping clusters. Principal Component Analysis and the Davies-Bouldin Index were employed to facilitate the assessment. The mapping results are displayed by faculty, showcasing regional patterns and student demographics. This research establishes a data-driven basis for UIN Walisongo's strategic recruitment and admissions strategies.
Perbandingan Metode Recurrent Neural Network (RNN) dan Long Short-Term Memory (LSTM) untuk Prediksi Curah Hujan Hermawan, Taufan; Zuliarso, Eri
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8099

Abstract

The increase in extreme rainfall intensity due to climate change has caused Batang Regency to become a hydrometeorological disaster-prone area. This research aims to build an day rainfall prediction model using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) based on BMKG historical data. The model is evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) metrics. The results show that LSTM has higher accuracy than RNN, with an RMSE: 0.1036 | MAE: 0.0730. Meanwhile, RNN obtained an RMSE: 0.1035 | MAE: 0.0763. LSTM is also more stable in predicting temperature, direction, and wind speed variables. These findings show that LSTM is more effective for weather time series data and can be used as a basis for developing data-based disaster early warning systems in local areas.
PENDAMPINGAN PENINGKATAN KOMPETENSI GURU MGMP REKAYASA PERANGKAT LUNAK DALAM PEMANFAATAN TEKNOLOGI KECERDASAN BUATAN UNTUK PEMBELAJARAN Sulastri, Sulastri; Zuliarso, Eri; Diartono, Dwi Agus; Utomo, Agus Prasetyo; Hadikurniawati, Wiwien
Intimas Vol 6 No 1 (2026)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v6i1.10448

Abstract

Di era digital, guru Musyawarah Guru Mata Pelajaran (MGMP) Rekayasa Perangkat Lunak (RPL) menghadapi tantangan dalam mengoptimalkan Kecerdasan Buatan (AI) karena keterbatasan pemahaman dan pelatihan yang aplikatif. Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi teknologi dan kompetensi praktis guru MGMP RPL dalam mengimplementasikan AI (seperti ChatGPT, Canva AI) dan platform digital untuk menciptakan pembelajaran inovatif sesuai Kurikulum Merdeka. Program ini dilaksanakan dengan metode partisipatif dan aplikatif, meliputi lokakarya intensif serta pendampingan daring, di mana peserta membuat produk pembelajaran digital. Hasilnya menunjukkan dampak yang sangat positif: terjadi peningkatan pengetahuan guru tentang AI rata-rata sebesar 37%, tingkat kepuasan peserta mencapai 93%, dan seluruh peserta berhasil menyusun produk pembelajaran interaktif. Lebih dari separuh guru telah menerapkan keterampilan ini di kelas, membuktikan bahwa pelatihan yang sistematis dan praktis efektif dalam meningkatkan kapasitas guru untuk adopsi teknologi..
Strategi Digital Social Branding bagi Panti Jompo dalam Meningkatkan Visibilitas dan Kepercayaan Masyarakat Santoso, Dwi Budi; Ningsih, Dewi Handayani Untari; Zuliarso, Eri; Saefurrohman, Saefurrohman; Radyanto, M. Riza
Abdimas Galuh Vol 8, No 1 (2026): Maret 2026
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v8i1.21967

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan visibilitas dan kepercayaan publik terhadap panti jompo melalui penerapan strategi digital social branding. Kegiatan dilakukan di Pusat Jagaan dan Rawatan Orang Tua Al-Ikhlas, Puchong, Selangor, Malaysia, yang menghadapi permasalahan rendahnya citra digital dan belum optimalnya penggunaan media sosial sebagai sarana komunikasi publik. Metode pelaksanaan meliputi observasi lapangan, wawancara dengan pengelola, pelatihan tatap muka, mentoring, serta pendampingan penyusunan konten digital dan pengembangan identitas merek digital. Materi pelatihan mencakup konsep dasar branding, penguatan identitas digital, komunikasi etis, teknik digital storytelling, serta penggunaan model konten 70:20:10 untuk menjaga konsistensi pesan. Hasil kegiatan menunjukkan peningkatan pemahaman mitra dalam membangun citra positif melalui narasi digital, penggunaan media sosial, dan pembuatan konten visual yang humanis dan beretika. Mitra mulai mampu membuat storyboard, poster digital, serta konten foto dan video pendek yang layak dipublikasikan. Selain itu, mitra berhasil menyusun brand message yang menonjolkan nilai kasih sayang, kepedulian, dan profesionalisme layanan lansia. Pelatihan ini memberikan dampak positif berupa meningkatnya kemampuan pengelola dalam mengelola citra digital secara mandiri. Kegiatan ini menyimpulkan bahwa digital social branding merupakan strategi efektif untuk membangun kepercayaan publik, meningkatkan reputasi institusi, dan memperluas jangkauan komunikasi panti jompo. Direkomendasikan adanya pendampingan lanjutan agar praktik branding digital dapat diterapkan secara konsisten dan berkelanjutan.
Implementasi Metode Design Thinking Dalam Pengembangan Aplikasi Pengelolaan Tiket Pantai Suwuk Lisdianti, Diah; Zuliarso, Eri
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7346

Abstract

Perkembangan teknologi informasi telah memberikan kontribusi signifikan dalam meningkatkan efisiensi di berbagai sektor, termasuk pariwisata. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi pengelolaan tiket berbasis web di Pantai Suwuk, yang sebelumnya menggunakan sistem manual. Pendekatan Design Thinking diterapkan melalui lima tahapan utama, yaitu Empathize, Define, Ideate, Prototype, dan Test. Data diperoleh melalui observasi langsung dan kuesioner, yang menjadi dasar untuk memahami kebutuhan pengguna dan merancang solusi yang relevan. Aplikasi ini dirancang untuk mendukung tiga jenis pengguna, yaitu admin, manajer, dan petugas tiket, dengan fitur-fitur utama seperti pengelolaan data tiket, pencatatan absensi, dan laporan keuangan. Pengujian prototipe menggunakan metode System Usability Scale (SUS) menghasilkan skor 84, yang masuk kategori Grade A (Excellent). Hasil ini menunjukkan bahwa aplikasi telah memenuhi kriteria kegunaan dan layak untuk diterapkan. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi operasional, mempermudah pengelolaan tiket, serta mendukung optimalisasi potensi wisata Pantai Suwuk.
Predictive Analysis of Student Academic Performance Using Ensemble Learning Methods: A Case Study on the Portuguese Student Performance Dataset Hakim, Mujibul; Zuliarso, Eri; Hidayat, Husni; Imam, Muhammad Nurul; Sholehudin, Mukti Ahmad
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 11 No. 1 (2026)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v11i1.492

Abstract

The ability to predict student academic performance at an early stage is crucial for educational institutions to provide timely interventions. This research aims to apply and evaluate the effectiveness of ensemble learning methods in predicting the final grades (G3) of secondary school students using the UCI "Student Performance" public dataset. To prevent data leakage, the models were executed without incorporating historical grade variables (G1 and G2), ensuring the system functions strictly as an Early Warning System. The methodological training process was enhanced by integrating k-fold cross-validation,hyperparameter optimization, and a direct comparison against a baseline model (Linear Regression) to guarantee model robustness and validity. Evaluation results indicate that the XGBoost model achieved the highest performance, yielding an Rsquared ($R^2$) of 0.28. Furthermore, feature importance analysis revealed that accumulated absences and prior class failures are the most significant predictors. As a practical implication, these findings recommend that schools develop proactive early warning dashboards and improve the overall school climate to address the root causes of absenteeism at an early stage.
Expert System for Diagnosing Gourami Fish Diseases Using the Certainty Factor Approach Hindayati Mustafidah; Ilham Gunadi; Cahyono Purbomartono; Suwarsito Suwarsito; Eri Zuliarso
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 1, March 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i1.26031

Abstract

Gourami is an economically significant fish in the aquaculture sector due to its high market demand and relatively stable price. However, it is also challenging to cultivate, with disease outbreaks being one of the primary difficulties. Early diagnosis of gourami fish diseases requires expertise from fish health specialists, who are often difficult to find due to their limited availability. With advancements in artificial intelligence-based technology, this study developed an expert system to diagnose gourami fish diseases based on observed symptoms. The system employs the Certainty Factor (CF) approach to estimate the likelihood of a particular disease affecting the fish. The Certainty Factor approach utilizes a knowledge base derived from expert knowledge to address uncertainty in diagnosis. The certainty factor weights are determined based on confidence levels from both experts and users to generate an accurate diagnosis. This expert system was developed using data from 20 types of gourami fish diseases and 38 associated symptoms. The system successfully identified diseases with a certain level of confidence and provided appropriate treatment recommendations based on the confidence level obtained. By implementing this expert system, the risk of disease outbreaks can be minimized, thereby improving efficiency and productivity in gourami fish farming while helping maintain fish health and reducing economic losses caused by disease.
Co-Authors . Sulastri . Suwarsito Aditya Bobby Rizki Agus Prasetyo Utomo Ahmad Fathoni Allaam, Ekananda Naufal Amalina, Hana Anefia Mutiara Atha ariadi, hastomo Arief Jananto Ariyani, Dewi Ayu Arya Sena Setyanegara Astuti, Vivi Rizki Indri Bambang Wiranto, Joko budi hartono Dewi Handayani Untari Ningsih Dian Kristiawan Nugroho Dwi Agus Diartono Dwi Budi Santoso Edy Winarno Fathoni, Aliffatul Majid Februarianti, Herny Fidiniari, Fathia Hakim, Mujibul Hastomo Ariadi Heri Maryanto, Cahyono Purbomartono, Heri Maryanto, Hermawan, Taufan Herny Februariyanti Herny Februariyanti Hersatoto Listiyono Hindayati Mustafidah Husni Hidayat Ilham Gunadi Indah Widhi Prastika Indriani, Cheryllista Isworo Nugroho Khabib Mustofa Kogoya, Erminus Kusuma Satria, Hafiyan Nafan Lisdianti, Diah Mardi Siswo Utomo Muhammad Nurul Imam, Muhammad Nurul Munna, Aliyatul Nur Rohim Nurmakhlufi, Alfin Hilmy Priambodo, Wisnu Putra Alva, Ilyasa Garuda Putri, Indah Lissiana R. Soelistijadi Radyanto, Mohammad Riza Rara Sri Artati Redjeki Ratmoko, Hari Rezal Arminto, Edo Rina Candra NS Rizky Abdul Malik Rosyida, Elviana Rudi setyo P Ruslana, Zauyik Nana S Sunardi Safra, Icha Adellia Safra, Kyla Kaneshia Sariyun Naja Anwar Sholehudin, Mukti Ahmad Sri Eniyati Sri Hartati Sudiantoro, Adhi Viky Sugiyamto Sugiyamto, Sugiyamto Sulastri Sulastri Sulastri Sulastri Sulatri sulis, Sulistiyowati Sunardi Sunardi Toman, Sarah Husain Velamentosa, Desvio Wahyu Prasetyo Wibowo, Sayogo Wismarini T.D. Wismarini, Th Dwiati Wiwien Hadikurniawati Yassin Achmad Nur Aziz Yohanes Suhari Yunus Anis Yunus Anis, Yunus Yuwan, Ridho Pangestu Zulfa Febriana Dewi Mellinia