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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
Eko Purwanto
Universitas Duta Bangsa Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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TRANSFORMASI UMKM: OPTIMALISASI ADMINISTRASI DAN PEMASARAN DENGAN SISTEM E-CRM Alia Akhmad, Khabib; Purwanto, Eko; Djoko Santosa, Tri
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 1 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i1.138-142

Abstract

UMKM di Indonesia berkontribusi signifikan terhadap PDB dan menciptakan sebagian besar lapangan kerja di sektor swasta. Di Kabupaten Sragen, lebih dari 200 pelaku usaha tergabung dalam Perkumpulan Pengusaha Gading Sukowati (P2GS), dengan jenis usaha meliputi olahan pangan, kerajinan tangan, fashion, jasa, pertanian, dan pemasaran. Namun, P2GS menghadapi kendala dalam manajerial dan komunikasi pemasaran, sehingga retensi pelanggan masih rendah. Untuk mengatasi tantangan tersebut, diperlukan sistem informasi manajerial dan E-CRM (Electronic Customer Relationship Management) yang dapat diakses dengan mudah. Program pengabdian kepada masyarakat ini dilakukan dalam lima tahapan: sosialisasi, pelatihan dan pendampingan, penerapan teknologi, evaluasi, dan keberlanjutan program. Hasilnya, anggota P2GS berhasil mengimplementasikan sistem yang dirancang, termasuk integrasi alur kerja dengan proses bisnis mereka. Penerapan teknologi ini membantu meningkatkan efisiensi pengelolaan administrasi dan memperkuat hubungan pelanggan, memberikan manfaat strategis bagi keberlanjutan dan daya saing UMKM di Sragen.
SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Purwanto, Eko; binti Mohd, Farahwahida; Awong Long, Zalizah; Purnomo, Singgih
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3368

Abstract

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.
AUTOMATIC DIABETES DETECTION SYSTEM USING PCA AND FUZZY K-NN Permana Yudha, Ery; Purwanto, Eko; Puspita Indah, Ratna
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3392

Abstract

In recent years, the prevalence of diabetes has reached alarming levels, necessitating efficient and timely diagnosis for effective management. This research presents an innovative approach to diabetes detection through an automatic system that leverages advanced technologies such as machine learning and medical data analysis. The proposed system aims to streamline the diabetes diagnosis by analyzing various medical data sources. By utilizing a machine learning algorithm, the system seeks to extract meaningful patterns and relationships from these diverse datasets. Key components of the automatic diabetes detection system include data preprocessing, feature extraction, and model training. The system's performance is evaluated using various metrics, such as sensitivity, specificity, accuracy, and f1-score. Overall, the proposed automatic diabetes detection system holds immense promise in revolutionizing the field of diabetes diagnosis.
ANALYSIS OF THE ROLE OF RESERVATION SYSTEMS IN IMPROVING CUSTOMER EXPERIENCE IN THE SALON AND SPA INDUSTRY: LITERATURE REVIEW Permatasari, Hanifah; Purwanto, Eko; Triyono
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3395

Abstract

This research paper aims to analyze the role of reservation systems in enhancing the customer experience in the salon and spa industry through a comprehensive literature review. The study adopts a qualitative research approach utilizing a systematic review of relevant academic articles, books, and research reports. The research focuses on identifying the benefits and challenges associated with reservation systems, as well as best practices and trends in the industry. The findings contribute to the understanding of the impact of reservation systems on customer experience and provide recommendations for improving reservation system effectiveness in the salon and spa industry.
Improving Customer Service Quality through the Utilization of Google Suites in Landing Page Creation Purwanto, Moch. Edy; Hasanah, Herliyani; Purwanto, Eko
Jurnal Ekonomi Vol. 13 No. 02 (2024): Jurnal Ekonomi, Edition April - June 2024
Publisher : SEAN Institute

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

Abstract

This research investigates the utilization of Google Suites for enhancing customer service quality through the creation of landing pages. Landing pages play a crucial role in digital marketing by capturing visitors' attention and converting them into customers or leads. Leveraging Google Suites, including tools such as Google Sites, Google Forms, and Google Analytics, offers organizations a comprehensive platform for designing, deploying, and analyzing landing pages to better serve their customers. Through a thorough examination of scholarly articles and relevant publications, this research synthesizes existing literature to explore the benefits and challenges of utilizing Google Suites for landing page creation. It delves into case studies and practical examples to provide insights into how organizations can effectively leverage Google Suites to optimize landing page design, personalize customer experiences, gather valuable feedback through forms, and analyze performance metrics using analytics tools. Moreover, the study examines the impact of improved landing page quality on customer satisfaction, engagement, and retention. By employing quantitative methodologies, this paper offers critical insights into the potential of Google Suites as a valuable resource for enhancing customer service quality in the digital age. It underscores the importance of integrating technology-driven solutions into customer service strategies to meet the evolving needs and expectations of today's consumers. The findings contribute to advancing understanding of the role of technology in customer service excellence and provide practical implications for organizations seeking to leverage Google Suites for effective landing page management.
Web-Based Financial Information System at Digimizu Digital Management Titin Listiani; Eko Purwanto; Hanifah Permatasari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3329

Abstract

Digimizu Digital Management specializes in Software and Photography as well as Digital Content while delivering on-demand services. The company operates without a computerized information system for managing both transactions and financial reports. The company handles orders manually via WhatsApp or face-to-face interactions while transaction records are kept on paper and within Microsoft Excel files. Data loss becomes possible alongside human errors and inaccurate reporting while real-time data access and monitoring face constraints. The company needs a web-based financial information system which should combine transaction automation with customer data management functions alongside quick and accurate financial report generation. The development of the financial information system utilizes the SDLC method with the Waterfall model and system weaknesses analysis through the PIECES method with UML (Unified Modeling Language) support. This system implementation will bring efficiency to Digimizu Digital Management's business procedures while decreasing errors in recording and enabling real-time financial activity tracking which will enhance overall company performance.
Development and Evaluation of an Expert System for the Early Diagnosis of Dental Diseases Eko Purwanto; Devi Pramita Sari; Farahwahida Mohd
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4500

Abstract

Dental diseases, such as caries, periodontitis, and gingivitis, affect public health worldwide, especially in regions where healthcare access remains restricted. The study develops an expert system for early dental disease diagnosis using Forward Chaining and Certainty Factor methods. The system overcomes deficiencies found in previous approaches, such as Naive Bayes and Dempster-Shafer, which demonstrate insufficient accuracy and unclear result interpretation. The developed expert system incorporates a knowledge base containing 7 diseases, 40 symptoms, and 7 diagnostic rules. Forward Chaining enables inference of potential diagnoses from reported symptoms, while the Certainty Factor evaluates diagnostic reliability by calculating confidence levels. System evaluation through Black Box testing achieved 92% diagnostic accuracy, and usability assessments revealed 85% user satisfaction rates, demonstrating that the system proves reliable, accurate, and accessible. Research findings indicate the expert system offers viable solutions for improving dental disease diagnosis in underserved and remote areas, potentially enhancing oral health outcomes through early detection and prompt intervention.
Analisis Perbandingan Metode Yolo Dan Faster R-CNN Dalam Deteksi Objek Manusia Muhammad Ilham Pratama; Nurchim Nurchim; Eko Purwanto
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2 (2025): Agustus
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2890

Abstract

Human object detection is an important component in surveillance systems, behavior analysis, and crowd management in public spaces such as stadiums, shopping malls, and terminals. However, the detection process often faces obstacles such as inconsistent lighting, complex backgrounds, and high object density. This study aims to compare the performance of two object detection algorithms, namely YOLOv10 and Faster R-CNN, in detecting humans. The dataset used is uniform and covers a wide range of environmental conditions to ensure fair and objective evaluation. This research involves the stages of data collection, pre-processing, model training, testing, and performance evaluation. The test results show that YOLOv10 has a performance advantage with an mAP50 value of 0.75, higher than that of Faster R-CNN which obtained an AP50 of 0.67. Based on these findings, YOLOv10 is recommended for use in applications that require real-time human detection with a high level of accuracy.Kata kunci: YOLOV10; Faster R-CNN; Object Detection AbstrakDeteksi objek manusia merupakan komponen penting dalam sistem pengawasan, analisis perilaku, dan pengelolaan keramaian di ruang publik seperti stadion, pusat perbelanjaan, dan terminal. Namun, proses deteksi sering menghadapi kendala seperti pencahayaan yang tidak konsisten, latar belakang kompleks, dan kepadatan objek tinggi. Penelitian ini bertujuan buat membandingkan kinerja dua algoritma deteksi objek, yaitu YOLOv10 dan Faster R-CNN, dalam mendeteksi manusia. Dataset yang digunakan bersifat seragam dan mencakup berbagai kondisi lingkungan untuk memastikan evaluasi yang adil dan objektif. Penelitian ini melibatkan tahapan pengumpulan data, pra-pemrosesan, pelatihan model, pengujian, dan evaluasi performa. Hasil pengujian menunjukkan bahwa YOLOv10 memiliki keunggulan performa dengan nilai mAP50 sebesar 0,75, lebih tinggi dibandingkan Faster R-CNN yang memperoleh AP50 sebesar 0,67. Berdasarkan temuan tersebut, YOLOv10 direkomendasikan untuk digunakan dalam aplikasi yang membutuhkan deteksi manusia secara real-time dengan tingkat akurasi tinggi.Kata kunci: YOLOV10; Faster R-CNN; Deteksi Objek 
ANALISIS PENGARUH KUALITAS SISTEM, KUALITAS INFORMASI, DAN KUALITAS LAYANAN PADA SISTEM (ERP) TERHADAP KEPUASAN PENGGUNA DI PT. SRI REJEKI ISMAN TBK Fiqih Dwi Rifai; Eko Purwanto; Nurmalitasari
INFOTECH journal Vol. 10 No. 1 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i1.8396

Abstract

ERP adalah suatu sistem integrasi yang mengalami penyederhanaan proses bisnis suatu organisasi agar dapat beroperasi dengan lebih efisien dan efektif. Namun, salah satu hambatan dalam penerapan sistem ERP ini adalah kurangnya pengetahuan beberapa pengguna terkait sistem tersebut. Keberhasilan suatu sistem ERP sangat bergantung pada sejauh mana sistem tersebut bermanfaat dan memberikan kemudahan kepada pengguna, sehingga dapat memberikan kepuasan kepada mereka. Aspek-aspek kualitas seperti kualitas sistem, informasi, dan layanan sangat berpengaruh secara signifikan terhadap tingkat kepuasan pengguna terhadap sistem ERP. Temuan dari penelitian ini didapatkan dari 17% dari total 486 karyawan di PT. Sri Rejeki Isman Tbk, dengan sampel berjumlah 83 karyawan. Metode pengumpulan data yang digunakan adalah kuesioner yang didistribusikan kepada 83 karyawan. Hasil analisis dari pengolahan data penelitian menunjukkan bahwa kualitas sistem, kualitas informasi, dan kualitas layanan dalam sistem ERP secara positif dan signifikan memengaruhi tingkat kepuasan pengguna
Development of a Web-Based Extracurricular Information System Using the Waterfall Model Savio Nelinhos Dos Santos; Hanifah Permatasari; Eko Purwanto
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2746

Abstract

Extracurricular activities are an important part of the holistic development of students which includes the formation of character, interests, talents, and social skills. However, many educational institutions still manage these activities manually through spreadsheets and printed documents, resulting in data duplication, information delays, and low transparency. This research aims to design and develop a web-based extracurricular information system to support the administration, monitoring, and evaluation of activities in an efficient and structured manner. The development of the system uses the Waterfall model chosen for its sequential and well-documented workflow, suitable for systems with predefined needs from the outset. The development stages include needs analysis, system design using UML, implementation with Laravel 9 and MySQL, as well as testing through the Black Box method and direct evaluation by the end user. The results of the Black Box test show that all system features are working according to specifications. Additionally, feedback from users shows a high level of satisfaction with the ease of use, navigation, and relevance of the features provided. This system successfully overcomes administrative challenges in managing extracurricular activities and is able to improve operational efficiency and user engagement. With the support of features such as automatic periodic assessments, PDF reports, notifications to parents, as well as a multilingual interface, the system has the potential to be more widely adopted by educational institutions that have similar contexts.
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