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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal Jurnal Informatika Upgris Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta SINTECH (Science and Information Technology) Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi IJEEIT : International Journal of Electrical Engineering and Information Technology Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Progresif: Jurnal Ilmiah Komputer International Journal of Economics, Business and Accounting Research (IJEBAR) bit-Tech JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budimas : Jurnal Pengabdian Masyarakat Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research Jurnal Ekonomi Journal Computer Science and Informatic Systems : J-Cosys International Journal Software Engineering and Computer Science (IJSECS) International Journal of Management Science and Information Technology (IJMSIT) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Teknik Informatika Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Scientech Research and Development Duta Abdimas: Jurnal Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) Mestaka: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Bengawan :Jurnal Pengabdian Masyarakat SOROT: Jurnal Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering Jurnal Ilmu Komputer dan Sistem Informasi CSRID Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal ilmiah teknologi informasi Asia Edu Komputika Journal Jurnal Informatika Dan Tekonologi Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Governance IT Adoption and Technology Advance
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Evaluasi Penggunaan SIMRS dengan Metode TAM di Klinik Utama Amanah Medika Ferdiana Rossi; Eko Purwanto; Pipin Widyaningsih
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.3942

Abstract

Penelitian ini bertujuan untuk mengevaluasi penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) di Klinik Utama Amanah Medika menggunakan pendekatan Technology Acceptance Model (TAM). Penelitian ini mengidentifikasi faktor-faktor yang mempengaruhi penerimaan pengguna terhadap SIMRS, termasuk persepsi kemudahan penggunaan, persepsi kemanfaatan, sikap terhadap penggunaan, niat untuk menggunakan, dan penerimaan sistem yang sebenarnya. Data dikumpulkan melalui kuisioner yang disebarkan kepada 25 responden, yang terdiri dari tenaga medis, administrator, dan staf lainnya. Hasil penelitian menunjukkan bahwa mayoritas responden merasa SIMRS mudah digunakan dan memberikan manfaat signifikan dalam meningkatkan efisiensi dan akurasi pelayanan. Variabel persepsi kemudahan penggunaan dan kemanfaatan sistem menjadi faktor utama yang mempengaruhi sikap dan niat perilaku pengguna. Namun, beberapa masalah teknis seperti keterbatasan perangkat keras dan gangguan jaringan masih perlu diperbaiki. Secara keseluruhan, SIMRS diterima dengan baik oleh pengguna di Klinik Utama Amanah Medika, meskipun pengembangan lebih lanjut dalam infrastruktur dan pelatihan diperlukan untuk optimalisasi penggunaan sistem.
Perencanaan Strategis Sistem Informasi dan Teknologi Informasi di Kecamatan Paranggupito Hafidz Munawar Kholil; Eko Purwanto; Pipin Widyaningsih
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.3943

Abstract

Kecamatan Paranggupito perlu merumuskan sebuah rencana strategis sistem informasi yang selaras dengan strategi bisnis sebuah perusahaan agar tujuan yang telah ditentukan bisa dicapai. Maka, agar sistem informasi mampu memberikan manfaat strategis serta memberikan keunggulan yang bersifat kompetitif, Penulis penelitian ini akan menggunakan metode Ward and Peppard untuk mengembangkan rencana strategis sistem informasi yang akan diterapkan di Kecamatan Paranggupito. Visi-misi Kecamatan Paranggupito dan tujuan strategi bisnis dari sebuah perusahaan akan dilakukan analisis, hal ini menjadi bagian dari proses perencanaan strategis sistem informasi. Alat yang digunakan dalam proses analisis ini mencakup Value Chain serta analisis SWOT (Strengths, Weaknesses, Opportunities, Threats). Perencanaan strateis ini menggunakan pendekatan yang mengacu pada pembuatan portofolio dari aplikasi yang telah dipetakan dengan menggunakan McFarlan Strategic Grid. Sementara itu, penelitian ini memiliki tujuan utama menghasilkan sebuah rencana strategis pada sistem informasi yang ditujukan kepada Kecamatan Paranggupito dengan tujuan agar kinerjanya dapat ditingkatkan, hal ini mencakup analisis lingkungan sistem informasi dan teknologi informasi dari segi internal dan eksternal.
Sistem Informasi Manajemen Persewaan Aset Karang Taruna Emblem Desa Kemiri Klaten Wulan Nur Layli; Eko Purwanto; Nibras Fa’iq Muhammad
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 3 (2025): September: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i3.4628

Abstract

This study aims to develop a web-based asset rental management information system to address the issues of manual record-keeping still used by Karang Taruna Emblem in Kemiri Village. The research methods include observation, interviews, and literature review for data collection, as well as the Waterfall model approach for system development. The process involves requirements analysis, system design using Unified Modeling Language (UML), and implementation using the Laravel framework and MySQL database. The system is designed to support digital transaction processing for asset rental, returns, and scheduling, with two access roles: admin and renter. The implementation results indicate that the system improves operational efficiency, minimizes the risk of data loss, accelerates information retrieval, and provides automated and real-time transaction reporting. Based on Black Box testing, all system functions perform as expected. The system also assists administrators in monitoring asset inventory and rental activities, while providing the public with convenient online access to asset information. Therefore, this information system enhances data accuracy, service transparency, and the professionalism of asset management within the Karang Taruna organization.
Strategic Information System Design for Enhancing Executive Decision-Making in the Retail Sector Eko Purwanto; Nurrohman
Governance IT Adoption and Technology Advance Vol. 1 No. 1 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i1.10126

Abstract

In the rapidly evolving retail industry, executives are increasingly challenged to make timely and accurate decisions based on complex and dynamic data. This study aims to design a strategic information system (SIS) that can support executive-level decision-making by integrating key business intelligence components. The proposed system is developed using a user-centered approach and incorporates a web-based dashboard that visualizes real-time sales, inventory, and customer behavior analytics. Through a case study at a medium-sized retail company, the system was evaluated based on its usability, effectiveness, and impact on decision quality. The results demonstrate that the implementation of the SIS significantly improves the speed and accuracy of executive decisions, particularly in areas related to inventory control, sales forecasting, and strategic planning. This research contributes to the advancement of digital decision-support tools in the retail business environment and provides a model that can be replicated in similar organizational contexts.
Implementasi Sistem Informasi Pengaduan Siswa Berbasis Web dengan Pemantauan Service Level Agreement Zakhi Febriyan; Sri Surmalinda; Eko Purwanto
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1180

Abstract

A student complaint system serves as a school service channel allowing students to submit grievances, criticisms, and reports regarding activities and services within the school environment. Complaint management at SMK IPTEK Weru, Sukoharjo Regency, currently lacks digital system support; consequently, report logging is disorganized, resolution processes are time-consuming, and follow-up monitoring is suboptimal. This research aims to design and develop a web-based Student Complaint Information System to provide a more organized and integrated solution for complaint management. The system was built using the Waterfall approach, implemented in stages ranging from requirements identification, design, and application development to functional testing and system maintenance. Research data derived from direct observation, interviews, and literature reviews served as the foundation for system development. The system utilizes Laravel as the application framework and MySQL for data storage. Black-box testing was conducted to ensure that every function operates according to requirements. A key contribution of this research is the implementation of a Service Level Agreement (SLA) feature within the web-based system, enabling the school to monitor the timeliness of complaint resolution in a more structured manner. Results indicate that core features such as login, complaint submission, data management, status monitoring, and report generation function as designed. Meanwhile, User Acceptance Testing (UAT) yielded an acceptance score of 85.00%, placing it in the "Very Good" category. These results demonstrate that the developed system enhances the effectiveness of the complaint process, accelerates report handling, and facilitates complaint management for students, staff, and administrators at SMK IPTEK Weru, Sukoharjo Regency.
Rancang Bangun Sistem Informasi Digitalisasi UMKM Kuliner Berbasis Web sebagai Media Promosi dan Pengelolaan Usaha Fathin Ryfsa Fadilah; Eko Purwanto; Aprilisa Arum Sari
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34998

Abstract

This research aims to design and develop a web-based information system for culinary MSME merchants to support the digitalization of promotion and business information management in a more effective and integrated manner. The existing problem is that data management and culinary information dissemination are still conducted manually, causing information related to shelters, food and beverage menus, and merchant data to be delivered less optimally to the public. The system development method used in this research is the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system was developed using the Laravel framework and MySQL database, while Unified Modeling Language (UML) was utilized as a system modeling tool. The system provides three access levels, namely admin, seller, and buyer, to support MSME data management, menu management, and centralized culinary information services. This study used 10 shelters as implementation testing data from approximately 120 available shelters. The testing results indicate that the system functions properly and assists users in accessing culinary information more quickly, effectively, and efficiently. The developed web-based system is expected to enhance culinary MSME promotion and support digital transformation in culinary business management.
Comparison of Machine Learning and Deep Learning Algorithms for Daily Retail Sales Forecasting Eko Purwanto; Bangun Prajadi Cipto Utomo; Hanifah Permatasari; Farahwahida Mohd
Edu Komputika Journal Vol. 12 No. 2 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i2.32773

Abstract

This study presents a comparative analysis of four machine learning (ML) and deep learning (DL) algorithms: Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) for predicting daily retail sales time series. The models were evaluated using key metrics, such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). Results show that RF and SVM outperformed both CNN and LSTM in terms of MAE (3500.28 and 3325.11, respectively) and RMSE (4660.60 and 4293.42, respectively). However, all models had negative R² values, indicating none could explain the variation in the data. LSTM, in particular, was the least efficient model, with an MAE of 54087.25, RMSE of 54257.51, and R² of -158.59. The poor performance of LSTM can be attributed to overfitting, improper model configuration, and misalignment with the nature of the data. The dataset used includes over 1,000 daily retail sales transaction records collected over one year, with key attributes like CustomerID, ProductID, Quantity, Price, TransactionDate, PaymentMethod, StoreLocation, ProductCategory, DiscountApplied, and TotalAmount. While the dataset is representative, its size and complexity may not have been sufficient for deep learning models like LSTM and CNN, which generally require larger datasets for optimal performance. This study highlights the challenges of using deep learning for retail forecasting and suggests future research should focus on refining models and incorporating external datasets to improve prediction accuracy.
Sistem Pendukung Keputusan Pemilihan Calon Penerima Beasiswa dengan Multi Objective Optimization on The Basis of Ratio Analysis Dewi Kuncorowati; Eko Purwanto; Hanifah Permatasari
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6579

Abstract

The selection of scholarship candidates has so far been conducted manually and is not well-documented. The selection process is based on the opinions or personal preferences of the selection team, which can lead to unfairness. There is no consistent standard for evaluating the criteria of scholarship candidates.This study develops a Decision Support System (DSS) for selecting school scholarship candidates using the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method. This method is chosen for its ability to handle various qualitative and quantitative evaluation criteria, such as academic achievement, economic conditions, and extracurricular participation. The system is designed to produce candidate rankings objectively and transparently, facilitating fair and accurate decision-making by the school. Testing results indicate that the MOORA-based DSS can provide accurate and consistent recommendations, enhancing the efficiency of the selection process and stakeholder satisfaction. This research also opens opportunities for further development by integrating technologies such as machine learning to enhance system capabilities. The results of this study can assist in determining acceptance of the scholarship
Comparative Analysis of Classification Models for Sales Prediction in E-commerce: Decision Tree, Random Forest, SVM, Naive Bayes, and KNN Purwanto, Eko; Cipto Utomo, Bangun Prajadi; Permatasari, Hanifah; Mohd, Farahwahida
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5224

Abstract

The swift expansion of e-commerce has markedly heightened the necessity for precise sales forecasting, essential for efficient marketing tactics and inventory control. This research evaluates five classification models—Decision Tree, Random Forest, Support Vector Machine (SVM), Naive Bayes, and K-Nearest Neighbors (KNN)—to predict sales outcomes using e-commerce transaction data. The models were assessed utilizing criteria including accuracy, precision, recall, F1-score, AUC, and Log Loss. The findings indicate that Random Forest exceeds the performance of the other models, with an accuracy of 97.5% and an AUC of 0.991, markedly outperforming the alternatives. This study presents a unique contribution by contrasting these classification models in the realm of e-commerce in Indonesia, yielding significant insights for the advancement of more effective predictive algorithms in informatics. The results not only enhance the optimization of marketing strategies but also enrich the comprehension of machine learning applications in sales forecasting. This study underscores the necessity of choosing the appropriate model for enhanced sales forecasting, with considerable ramifications for data-driven decision-making in the e-commerce sector.
Zakat, Trust, and the Digital Window: A Comparative Analysis of Web Disclosure Practices Among Indonesia's National Zakat Institutions Hanifah Permatasari; Liana Trihardianingsih; Eko Purwanto
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7646

Abstract

The National Zakat Amil Institutions (LAZNAS) play a vital role in Indonesia's zakat ecosystem as independent non-governmental organizations connecting muzakki with beneficiaries nationwide, and official websites have become a primary medium through which they communicate identity, programs, and fund management accountability to the public. This study examines digital disclosure patterns across all 15 nationally licensed LAZNAS websites through qualitative content analysis conducted in June 2026, using a five-dimensional rubric adapted from global NPO web disclosure frameworks and enriched with Islamic accountability principles. Findings reveal considerable variation across dimensions and websites, with program reporting the most consistent and financial transparency the most varied. A fund efficiency summary is not yet explicitly available on any website in the sample, reflecting the absence of sectoral norms or regulatory provisions encouraging this type of public digital disclosure, and more than half of the websites face technical barriers that limit public accessibility. The study proposes technical website accessibility as a distinct analytical dimension in Islamic philanthropy web disclosure research and identifies innovative practices with potential for broader sectoral adoption.
Co-Authors Abdullah Sajad Aditia, Aditia Afu Ichsan Pradana Agung Wicaksono Agus Mardiyono Agustina Srirahayu Ajeng Putri Sulistyawati Alvian Setiono, Stefanus Amelia, Dinda Anggit Nurhidayah Annisa Zalzabilla Rahmawati Aprilia Pramudita Aprilia Putri, Eka Aprilisa Arum Sari Ari Zusnan Fahrudin Arya Kusumadewa Aulia Fajria Hafidhotun Awong Long, Zalizah Bagaskara, Ikrar Bambang Prasetyo Bangun Pradjadi Cipto Utomo Bangun Prajadi Cipto Utomo Benaya Chessa Sarmanela binti Mohd, Farahwahida Bondan Wahyu Pamekas Budi Waluyo, Arif Devi Pramita Sari Dewi Kuncorowati Diana Novira Didik Nugroho Djoko Santosa, Tri Dwi Hartanti Dwi Septieni Ema Sagita Desylawati Ery Permana Yudha Ery Permana Yudha Fadhil Ibnu Is’ad Faiq Muhammad, Nibras Farahwahida binti Mohd Farahwahida Mohd Farahwahida Mohd Fathin Ryfsa Fadilah FAULINDA ELY NASTITI Fauzan Sadewa Feny Ramadhani Ferdiana Rossi Feri Setiyono Fioga Zahra Fernando Fiqih Dwi Rifai Ghoffar Pangestya Prabowo Hafidz Munawar Kholil hanif, abdurrohman hanifa Permatasari Hanifah Permatasari Hanifah Permatasari, M.Kom Hany Arya Wardhany Hartono - Hartono Hartono Hasanah, Herliyani Hilmi Putra Andriano, Muhammad Ika Ayu Pertiwi Ika Putri Pujianti, Ika Putri Pujianti Ilham Fahrul Pratama Imam Arifin Indah Nofikasari Indah Wahyu Utami Indra Hastuti Intan Oktaviani Irawan, Ridwan Dwi Jati Prabawa, Dhimas Jordan, Alles Tio Karima, Yuyun KHABIB ALIA AKHMAD Kris Dayanti Kurnia Sari, Vena Kuswulandari, Reni Liana Trihardianingsih Long, Zalizah Awang Maharani, Tiara Putri Manase Rezata Purba Margaretha Evi Yuliana Marginingsih Marginingsih Maulindar, Joni Moh. Muhtarom, Moh. Mohd, Farahwahida Mohd, Farahwahida binti Muhammad Fahmi Panwar Muhammad Ilham Pratama Muhtarom, Moh Mustova, Rizal Ni’mal ‘Abdu, Aghni Rizqi Nibras Fa’iq Muhammad Niken Galuh Aryani Norma Puspitasari Novita Puspitasari Novita Widyasari Nur Indahsari, Reggie Nur Istianto, Yudha Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Nurrohman Oktaviani, Intan Otami Amalina Permana Yudha, Ery Permatasari, Hanifah Pipin Widyaningsih Prastya, Alvian Bagus Primadeni, Febriaji Purwanto, Moch. Edy Puspita Indah, Ratna Putri Wibowo, Armeta Eka Rahmadhani, Istining Ramadhan, Navin Randis Wahyuni Ratmini, Yuli Ratna Puspita Indah Rini, Selfia Yustika Rizqy Alfiansyah, Rafif Rohmat Eko Prasetyo Rudi Susanto Rudi Susanto, S.Si., M.Si., Ph.D Sabar Sularno Sajad, Abdullah Santosa, Tri Djoko Sari, Hanifah Permata Satrio Irawan, Fandy Savio Nelinhos Dos Santos Septian Aristianto Setiadi, Bagas Setiyani, Rahmawati Setrayana, Abiyyu Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Singgih Purnomo Siska Danawati Siti Fatimah Siti Wahyuni Softi Ulin Nuha Sopingi Sopingi Sopingi, Sopingi Sri Ningrum Sri Rejeki SRI SUMARLINDA Sri Sumarlinda, S.Kom, M.Kom, Ph.D Sri Surmalinda Sukma Rahmawati Sukma, Cahyaning Arum Sundari . Taufiq Nur Arifin Telaga Nabila Putri Riyanto Titin Listiani Tri Djoko Santosa Tri Prasetyo, Heri Triana, Triana Triyono Triyono Triyono Triyono Umar Choirul Hadi Utami, Maulinda Devi Velinda Febriana Verdiyanto, Ricky Vihi Atina Wiji Lestari Wijiyanto Wulan Nur Layli Yusmawan Dwi Suseno Yusuf Esema Zakhi Febriyan Zalizah Awong Long