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Eko Darmanto

Universitas Muria Kudus

Author-ID : 249941

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Implementasi Sistem Absensi Karyawan Berbasis G-Location pada UMKM Kerupuk Rambak H.M. Luhur Jaya Kudus Prathama, Rizqi Aufa Eka; Darmanto, Eko
Jurnal Pengabdian Masyarakat Bhinneka Vol. 3 No. 4 (2025): Bulan Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v3i4.308

Usaha Mikro Kecil Menengah (UMKM) kerupuk rambak kulit kerbau H.M. Luhur Jaya, yang beroperasi di Kudus sejak 1937, menghadapi masalah besar dalam manajemen absensi karyawan. Problem seperti kemungkinan kesalahan, manipulasi data, dan keterlambatan rekapitulasi disebabkan oleh pencatatan absensi manual, yang menghambat proses manajemen sumber daya manusia (SDM). Untuk menyelesaikan masalah ini, dibangun sistem absensi berbasis G-Location yang terintegrasi dengan perangkat mobile atau aplikasi web. Tujuan sistem ini adalah untuk meningkatkan akurasi, kedisiplinan, dan efisiensi manajemen sumber daya manusia dengan mencatat kehadiran secara real-time dan terpusat. Metode yang digunakan mencakup pengembangan dan penerapan teknologi G-Location untuk otentikasi lokasi karyawan, pencatatan waktu otomatis, dan penyimpanan data di lokasi tertentu. Implementasi kegiatan ini berhasil mendorong UMKM H.M. Luhur Jaya menuju pengelolaan yang lebih profesional dan kompetitif di era digital. Hasil kegiatan menunjukkan peningkatan signifikan dalam akurasi data absensi, efisiensi waktu rekapitulasi, peningkatan kedisiplinan karyawan, serta pengelolaan sumber daya manusia yang lebih baik.

Implementasi Teknologi QR Code dan Metode Earliest Due Date pada Sistem Informasi Manajemen Peminjaman Buku di Perpustakaan Anak Zaman Desa Nalumsari Nurur Rosidah; Arif Setiawan; Eko Darmanto
Jurnal Sistem Informasi dan E-Bisnis Vol 7 No 2 (2025): Agustus
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v7i2.596

Perpustakaan Anak Zaman di Desa Nalumsari menghadapi permasalahan dalam pengelolaan data peminjaman dan pengembalian buku yang masih dilakukan secara manual, sehingga menyulitkan pencarian data, memperlambat layanan, dan meningkatkan risiko kesalahan pencatatan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi manajemen peminjaman buku berbasis web dengan penerapan teknologi QR Code dan metode earliest due date. Teknologi QR Code digunakan untuk mempercepat proses identifikasi buku dan anggota secara akurat, sedangkan metode earliest due date diterapkan untuk mengatur prioritas pengembalian berdasarkan batas waktu terdekat. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP, framework CodeIgniter 4, dan basis data MySQL. Hasil implementasi menunjukkan bahwa sistem mampu mencatat transaksi secara otomatis, memberikan informasi jatuh tempo, menghitung denda keterlambatan, serta menyajikan laporan aktivitas perpustakaan dengan lebih efisien. Temuan ini membuktikan bahwa integrasi teknologi tersebut dapat meningkatkan kualitas layanan dan efisiensi operasional perpustakaan.

Integrasi Sistem Pakar Forward Chaining dan Decision Tree untuk Deteksi Hama berbasis WhatsApp Iskhak, Zaki Maulana; Darmanto, Eko; Muzid, Syafiul
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.31189

The Indonesian agricultural sector faces challenges in early detection of land disturbances such as pests, diseases, floods, and droughts. Low technology adoption and digital literacy among farmers lead to slow responses to early symptoms. The research aims to develop a web-based decision support system that integrates the decision tree method, forward chaining inference, and sending automatic classification results via WhatsApp. The research used a Waterfall model, encompassing needs analysis, design, implementation, testing, and maintenance. The system is built based on 24 input symptoms that generate five classification categories. This application allows farmers to enter land condition data and receive classification results directly through the system and WhatsApp notifications. Testing demonstrated 80% accuracy compared to expert diagnoses, with a 95% message delivery success rate and an average response time of under five seconds. These results demonstrate that a rules-based approach combined with real-time communication can improve the speed and effectiveness of decision-making at the farmer level. This solution has the potential to be applied in other regions as part of accelerating the digital transformation of agriculture.

Penerapan Alat Bantu Kompor Biomassa Rocket Stove Ramah Lingkungan Untuk Meningkatkan Efisiensi Produksi Kerupuk Ikan Di Karimunjawa Khoeron, Slamet; Darmanto, Eko; Hudaya, Akhmad Zidni; Setiawan, Hera; Qomaruddin, Qomaruddin
Jurnal Muria Pengabdian Masyarakat Vol 2, No 2 (2025): Juli
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/jmpm.v2i2.15228

Program ini bertujuan untuk menerapkan teknologi kompor biomassa rocket stove, yang menggunakan bahan bakar dari limbah organik lokal, guna mengganti sebagian konsumsi bahan bakar elpiji dan mengurangi biaya produksi. Teknologi ini juga sejalan dengan upaya keberlanjutan lingkungan. Selain solusi teknis, pelatihan manajemen usaha juga diberikan kepada pelaku UMKM agar mereka dapat meningkatkan skala produksi dan memperluas jangkauan pasar. Luaran yang dihasilkan program ini adalah substitusi sebagian konsumsi bahan bakar elpiji sebesar 50%, peningkatan efisiensi operasional, serta perbaikan manajemen produksi dan distribusi UMKM.

Sistem Informasi Manajemen Persediaan Obat di Apotek Jekulo Menggunakan Metode FEFO dan ROP Nabila Pramesti Evykasari; Eko Darmanto; Syafiul Muzid
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i2.1618

Perkembangan teknologi informasi telah mendorong transformasi digital di berbagai sektor, termasuk layanan kefarmasian. Apotek Jekulo di Kabupaten Kudus masih menggunakan pencatatan stok obat secara manual dengan Microsoft Excel, yang menimbulkan risiko seperti keterlambatan pemesanan dan obat kedaluwarsa akibat metode distribusi FIFO serta pemesanan ulang berdasarkan perkiraan. Penelitian ini mengembangkan sistem informasi manajemen persediaan obat berbasis web dengan penerapan metode First Expired First Out (FEFO) dan Reorder Point (ROP). Metode FEFO memprioritaskan distribusi obat berdasarkan tanggal kedaluwarsa, sedangkan ROP memberikan peringatan saat stok mencapai batas minimum berdasarkan konsumsi harian dan waktu tunggu pengiriman. Sistem ini juga dilengkapi fitur pemindaian barcode dan notifikasi otomatis melalui WhatsApp. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan efisiensi pengelolaan stok, mengurangi risiko kedaluwarsa, serta meningkatkan ketepatan pemesanan ulang. Integrasi metode dan fitur notifikasi juga mempercepat proses pengambilan keputusan dan memudahkan pemantauan oleh apoteker.

Multi-Criteria Evaluation Based on MOORA for Improving Water Treatment Operations Prasasti, Gayung; Darmanto, Eko; Supriyono, Supriyono; Tomya, Stella Putri
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i3.1192

Access to clean and sustainable drinking water continues to be a significant concern, especially in areas with considerable variability in source quality. This study used the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) approach to evaluate and rank 22 drinking water sources in Central Java, Indonesia, according to several physicochemical characteristics. The study process starts with the entry of sub-district, village, time, and laboratory result data, subsequently leading to the establishment of assessment criteria and their corresponding weights. Subsequent to the MOORA computations, rankings are produced and compiled into a detailed report. The results indicate that sources X21, X19, and X18 got the best ratings, signifying excellent water quality conditions, whereas X12 rated lowest, underscoring the necessity for focused action. In contrast to conventional evaluation methods, MOORA provides computational efficiency, clear prioritizing, and less subjectivity, facilitating consistent and reproducible multi-criteria evaluations. The results offer practical suggestions for enhancing water treatment processes, prioritizing resource distribution, and directing future incorporation of Internet of Things (IoT) monitoring for real-time assessment and adaptive management. This method integrates technical evaluation with pragmatic policy formulation, enhancing operational efficiency and promoting long-term sustainability in water delivery systems.

Web-Based Sales Prediction at PT Menara Kudus Indonesia Using the Double Exponential Smoothing Method Bayu Hidayat, Hilmi; Darmanto, Eko; Supriyono
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.992

PT Menara Kudus Indonesia is a printing, publishing, and bookstore company that still relies on manual sales and paper-based transaction recording, causing inefficiencies and dead stock due to unbalanced production and demand. This study develops a responsive web-based sales prediction system that integrates the Double Exponential Smoothing (DES) method to improve accuracy in forecasting sales trends. The system was developed using the PHP programming language, MySQL database, and the Waterfall SDLC model. The novelty of this research lies in the direct integration of the DES forecasting algorithm into a web-based system, enabling real-time predictions and automated reporting. The implementation results show that the system can process historical sales data, generate accurate forecasts, and provide tabular and graphical reports. The forecast for the 11th month resulted in 174 units, which can serve as a production planning reference. This system improves efficiency, reduces the risk of overstock and understock, and accelerates managerial decision-making.

A Web-Based Safety Stock Monitoring Information System for Production Materials at CV. Ewelding's Iron Workshop Nuzul Zainul Wildan; Darmanto, Eko; Nughraha, Fajar
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.996

CV. Ewelding is a metal workshop that experiences difficulties in managing production material stock due to manual processes that result in data discrepancies and the risk of production delays. This study aims to build a web-based stock monitoring information system with a safety stock method to ensure the availability of safe minimum stock. The system development methodology uses the waterfall model, with stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using PHP and MySQL, and is designed to support customer data management, ordering, material calculations, and production monitoring reports. The implementation results show that the system is able to provide real-time information, assist decision-making, and reduce the risk of material shortages. This system also provides efficiency for business actors in managing overall production operations.

Artificial Intelligence in Integrated Marine Observing Systems: A Comprehensive Review Adiyono, Soni; Arifin, Muhammad; Latifah, Noor; Darmanto, Eko
International Journal of Marine Engineering Innovation and Research Vol 10, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.22308

The marine ecosystem is vital for sustaining life on Earth, yet its vastness and complexity present significant challenges for effective monitoring and management. Integrated Marine Observing Systems (IMOS) have emerged as essential tools for understanding and protecting marine environments. This study aims to systematically review the integration of artificial intelligence (AI) into IMOS, focusing on its contributions to data processing, biodiversity monitoring, and environmental change analysis. A systematic literature review (SLR) method is employed to analyze existing research and identify key AI techniques and their applications in marine and oceanographic studies. Results indicate that deep learning is the most widely used AI method, with marine research being the primary application domain. Other areas, such as environmental monitoring and industrial systems, also demonstrate considerable potential. However, data inconsistency, operational limitations, and the lack of standardized frameworks remain significant barriers. This review highlights the transformative role of AI in enhancing IMOS capabilities and provides recommendations for addressing existing challenges to support sustainable marine management.

Implementasi Sistem Visualisasi Data Statistik pada Badan Pusat Statistik Kabupaten Pati untuk Peningkatan Pelayanan Masyarakat Sari, Arina Nindya; Darmanto, Eko
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.690

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemampuan Badan Pusat Statistik (BPS) Kabupaten Pati dalam menyajikan data statistik secara lebih efektif dan komunikatif melalui penerapan sistem visualisasi data berbasis web. Pelaksanaan kegiatan mencakup identifikasi kebutuhan mitra, perancangan dan pengembangan sistem, pendampingan implementasi kepada pegawai BPS, serta evaluasi bersama untuk menilai manfaat dan keberlanjutan sistem. Aplikasi yang dikembangkan mampu menangani unggah data mentah, pengelolaan pengguna sesuai hak akses, serta penyajian data dalam bentuk grafik yang mudah dipahami dan dapat diunduh. Hasil kegiatan menunjukkan adanya peningkatan literasi teknologi serta kemampuan pegawai dalam mengolah dan menyampaikan informasi statistik kepada masyarakat. Selain mendukung efisiensi kerja internal, sistem ini juga memperkuat upaya transformasi digital layanan publik di lingkungan BPS Kabupaten Pati. Dengan keberlanjutan pemanfaatan sistem visualisasi tersebut, diharapkan masyarakat semakin mudah memahami data statistik dan pendekatan ini dapat menjadi referensi bagi instansi pemerintah lain dalam penerapan teknologi informasi.

Co-Authors - Supriyono Abdurrosyid Abdurrosyid Ahmad Jumanto Ahmad Muhajir Akh Sokhibi Akhmad Zidni Hudaya Andrean Maulana Anis Maghfiroh Annisa Putri Hapsari Aprilia Damayanti Apriliana Sari Ardiansyah Rizki Arif Maulana Rokhman Arif Setiawan Arif Setiawan Arya Maulana, Arya Athia Aisy Bakhita Aynullutfihana, Nanda Basuki , Basuki Basuki Bayu Hidayat, Hilmi Bekti Setiya Ningsih Belia, Gones Bellachintya Reira Christata Bellina Maulidiya Rohmah Catur Iswahyudi Chalim, Noor Dhona, Chalim Riza Diana Laily Fithri Dina Tauhida Dwi Rubiyanto Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eka Wakhyu Agustina Ema Utami Faiz Abrori Fajar Nugraha Fajar Nugraha Firdaus, Ricko Muhammad Galih Adi Widodo Gones Belia Gunawan Setiadi Hera Setiawan Iftah Lana Maula Iftikhar Rizqullah Iskhak, Zaki Maulana Kasem Premprayoon KharisatunNisa Khasan, Nur Akhmad Kurniawan, Muhammad David Kusumawardhana, Muhammad Anton Laily Fithri, Diana Latifah, Noor Lestari, Dwi Kusnadia Lisa Purwanti Lukito, Aji Maulana, Andrean Maulana, Muhammad Hanif Meta Ardi Setiawan Mochammad Imron Awalludin Muhammad Arifin Muhammad David Kurniawan Muhammad Khanifan Muhammad Rama Mahendra Muhammad Rizky Ferdiansyah Muzid, Syaiful Nabila Pramesti Evykasari Noor Latifah Nughraha, Fajar Nugraha, Rakha Adhi Nurur Rosidah Nurwijayanti Nuzul Zainul Wildan Prasasti, Gayung Prathama, Rizqi Aufa Eka Pratiwi Cahyaningtiyas Pratomo Setiaji Putri Kurnia Handayani Qomaruddin Queeny Laila Zahra R Rhoedy Setiawan Rafli Zudha Sasongko Rangga Setyanto Reformasiyanto, Mohammad Humam Azka Regizka Ayu Mega Saputri Rina Andarwati Rizal Maulana Rizal Maulana, Rizal Rizki, Dwita Amalia Romyati Sari, Arina Nindya Secha, Maulidin Nur Selamet Ahmad Faisal Setyowati Setyowati Siska Yuniarti Siti Nur Khomsah Slamet Khoeron Soni Adiyono Sri Hartati Sri Utaminingsih Sri Utaminingsih sucimaula adelia Sumaji SUPRIYONO Supriyono Supriyono Supriyono Susanto, Gito Aru Susanto, Gito Aru Suwandi Suwandi Suwanto Raharjo Syafiul Muzid Tomya, Stella Putri Toto Rusianto Tsirwatun Nisail Khasanah Umi Wahidasiana Umi Wahidasiana Verry Budi Hartanto Vicky Febriyan Vikha Indira Asri Yudie Irawan Yuniarti, Siska Zahra, Fatimah Az

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