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Eko Sediyono

Universitas Kristen Satya Wacana

Author-ID : 258660

Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Penerapan ERP Pada Sistem Informasi Manajemen Pengawasan Perikanan (SIMWASKAN) Pada Direktorat Pengawasan Sumber Daya Perikanan Januar Agung Wicaksono; Eko Sediyono; Aris Puji Widodo
Jurnal Masyarakat Informatika Vol 14, No 1 (2023): May 2023
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.14.1.49607

Ditjen PSDKP merupakan salah satu eselon 1 di Kementerian Kelautan dan Perikanan. Ditjen PSDKP memiliki 5 eselon 2 terdiri 4 Direktorat dan 1 Sekretariat Ditjen, salah satu direktorat adalah Direktorat PPSDP. Salah satu sistem pengelolaan basis data yang dijalankan oleh Dit. PPSDP adalah SIMWASKAN. SIMWASKAN dapat disebut sebagai sistem Enterprise Resource Planning (ERP) karena terintegrasi dan mendukung fungsi pengawasan terhadap peraturan yang berlaku pada Direktorat PPSDP.ERP sebagai aplikasi komprehensif yang mendukung fungsi unit kerja dan dapat mengintegrasikan baik berbagai aspek fungsional maupun sistem dalam sub unit kerja pada Direktorat PPSDP dengan eselon I teknis terkait. ERP bekerja menggunakan web-client tujuannya adalah dapat diakses oleh pegawai yang berkompeten sesuai dengan tugas dan fungsinya dari mana saja dan kapan saja sehingga meningkatkan efektivitas kinerja. Metode pembangunan yang digunakan dalam SIMWASKAN adalah waterfall, bahasa pemrograman yang digunakan adalah php dengan framework code-igniter dan menggunakan basis data mysql, serta metode pengujian fungsional dari SIMWASKAN adalah black-box testing. Penerapan ERP dalam SIMWASKAN ini, untuk pengawas perikanan dapat menjadi media pelaporan hasil pengawasan di lapangan terhadap pengelolaan sumber daya perikanan di lingkup Ditjen PSDKP. Untuk Dit. PPSDP dapat menjadi media analisa terhadap hasil pengawasan pengelolaan sumber daya perikanan berdasarkan hasil yang dilaporkan pengawas perikanan.

Analisis dan Perancangan Sistem Informasi Panduan Kesehatan Balita Lestari, Merrryana; Sediyono, Eko
Journal of Information System and Informatics Vol 3 No 1 (2021): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v3i1.93

Immunization, nutritional support for food vitamins and nutritional content from food are important components to support good children's growth and development. However, the number of malnutrition and malnutrition in Indonesia is still high, causing many children under five to experience stunting during the golden age. Through this research, analysis and design of mobile-based information systems that can be accessed anywhere and anytime as needed is carried out. The design of this information system can be used as a guide for young mothers regarding child health information needed, especially during the growth and development period of toddlers by monitoring growth curves and providing health recommendations through the calculation of the Body Mass Index (BMI) in toddlers and can also be used as a reminder and recording of immunization data in children under five.

Optimizing Attendance System: Integrating Liveness Detection and Deep Learning for Reliable Face Recognition Joseph Teguh Santoso; Eko Sediyono; Kristoko Dwi Hartomo; Irwan Sembiring
JUITA: Jurnal Informatika JUITA Vol. 12 No. 2, November 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i2.21738

The study focuses on using vitality detection and deep learning technologies in the context of facial recognition in an IT presence management project. The combination of deep learning with vitality detection provides a considerable advancement in security and effectiveness. This work integrated vitality-detecting technology with in-depth learning in facial recognition systems. Vitality detection technologies are used to verify the authenticity of persons by examining live indicators such as movements or facial expressions before face recognition. Meanwhile, deep learning is used to analyze and process facial photos correctly by learning from large amounts of data and recognizing facial features in depth. The study data set consists of 1300 photographs of professional school instructors taken with official authority. Model testing and training are carried out in the Google Colab environment, using Python and the Hardy package. The test findings showed an 87% accuracy in face recognition, proving the system's capacity to consistently identify persons and distinguish real from false ones. Furthermore, the performance of Liveness Detection achieves 92% accuracy, as does the integration of Live Detection technology with Deep Learning at 78%.

Application of the PIECES Framework Method in E-Report Evaluation Muhammad Sholikin; Eko Sediyono; Hendry Hendry
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6028

The evaluation of the E-report application at SMK N 1 Banyudono is integral for assessing its alignment with the latest curriculum guidelines and its effectiveness in meeting students' learning and assessment needs. This evaluation ensures that learning support technologies, such as E-report, stay relevant, responsive to user needs, and supportive of the school's long-term educational objectives. Using the PIECES method, the assessment of user satisfaction comprehensively considers Performance, Information, Economy, Control, Efficiency, and Services indicators. The Likert scale aids in gauging user satisfaction across various aspects. Quantitative data analysis involves 26 respondents, including teachers, homeroom teachers, curriculum staff, and school principals, providing a holistic perspective on learning and assessments management. The PIECES method and Likert scale evaluation reveal a satisfaction level of 4.52, categorizing it as "SATISFIED." This comprehensive assessment covers system performance, information accuracy, cost-effectiveness, system control ease, time efficiency, and service flexibility. The qualitative descriptive approach using the PIECES method and Likert scale identifies areas for improvement, ensuring the E-report application remains efficient, relevant, and aligned with DITJEN VOKASI guidelines

Integrating hybrid deep learning and CSI for multi-interval hydrological data in enhanced flood prediction Indrastanti Ratna Widiasari; Eko Sediyono; Rissal Efendi
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11278

Flood prediction accuracy is often constrained by heterogeneous and asynchronous hydrological data collected at different time intervals. This study proposes a hybrid deep learning–based flood prediction framework that integrates long short-term memory (LSTM), convolutional neural network (CNN), and cubic spline interpolation (CSI) to address these challenges. Rainfall, river discharge, and water level data representing upstream, midstream, and downstream conditions of the Bengawan Solo watershed were utilized. CSI was applied as a preprocessing step to harmonize multi-interval data, reduce noise, and recover missing observations, thereby improving data consistency. The experimental results show that the proposed hybrid LSTM–CNN model enhanced with CSI outperforms baseline LSTM and non-interpolated hybrid models, achieving a mean absolute percentage error (MAPE) of 5.84%, root mean square error (RMSE) of 0.125 m, mean absolute error (MAE) of 0.082 m, and R² of 0.948. The integration of spatio-temporal feature learning with data harmonization enables more accurate flood level prediction and supports timely flood early warning systems. The proposed approach demonstrates strong potential for improving flood risk management and disaster preparedness in flood-prone regions.

Perencanaan Sistem Informasi Pelaporan Kasus Kekerasan Berbasis Constraint: Studi pada Yayasan Sanggar Suara Perempuan Jeny Maryana Nuban; Eko Sediyono; Evi Maria
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3434

Violence case reporting systems in community-based organizations are often framed as technical solutions, overlooking the social and operational conditions that shape their use. This study examines how reporting system requirements are formed in such contexts and develops an information system design that responds to these conditions. The study draws on a qualitative, design-oriented case study conducted at Yayasan Sanggar Suara Perempuan (SSP). Data were collected through interviews and observations with key informants, analyzed thematically, and mapped onto the Ward and Peppard framework to inform system design. The findings show that system requirements are not purely functional but emerge as a configuration of interacting constraints, process fragmentation, data security risks, and social barriers that simultaneously bound integration, visibility, and user access. Fragmented reporting practices across unintegrated channels lead to data inconsistencies and delays, while concerns about identity exposure constrain user participation. In response, the study proposes an integrated reporting system featuring centralized data management, anonymous reporting, and role-based access control. These findings demonstrate that system design in high-risk, socially sensitive contexts cannot be derived from functional requirements alone but must be configured within a constraint-bounded design space that directly shapes and limits design decisions.

POTENSI FWA (FIXED WIRELESS ACCESS)-CDMA MENDUKUNG PROGRAM PEMERINTAH INDONESIA DALAM WILAYAH USO (UNIVERSAL SERVICE OBLIGATION) Yuliarman Saragih; Robert M.Z. Lawang; Iwan Setyawan; Eko Sediyono
JREC (Journal of Electrical and Electronics) Vol. 4 No. 2 (2016): JREC (Journal of Electrical and Electronics)
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Islam 45 Bekasi

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

USO (Universal Service Obligation) merupakan bagian dari kewajiban Pemerintah dalam memberikan pelayanan universal di bidang telekomunikasi dan informatika kepada publik.Kewajiban pelayanan tersebut dilakukan untuk mengurangi kesenjangan komunikasi akses dan digital di daerah khususnya daerah pedesaan, tertinggal, dan terluar serta terdepan, yang secara ekonomi sulit dilakukan oleh penyelenggara telekomunikasi komersial. Program Layanan USO selama ini diawali dengan layanan dasar (voice) hingga layanan data (internet).Hingga saat ini, berdasarkan hasil monitoring evaluasi perkembangan layanan USO, dari sisi anggaran, realisasi rata-rata per tahun sampai dengan 2014 adalah 41%. Hal tersebut menunjukkan belum efektifnya pelayanan USO. Esensi utama rancang ulang adalah tetap melanjutkan program eksisting namun merubah mekanismenya, yaitu tidak lagi bersifat “top down” dari pusat ke daerah tetapi dari daerah ke pusat yang juga disesuaikan dengan kebutuhan daerah, Pemerintah menyiapkan rancangan utama (Grand Design) Program USO dengan asumsi bahwa UU No.36 Tahun 1999 diganti dengan UU Telekomunikasi yang baru atau UU Konvergensi. Potensi yang mungkin dilakukan lewat perangkat PT Telekomunikasi Indonesia Tbk yang mampu menjadi motor pengerak melanjutkan USO dengan mengembangkan kembali FWA-CDMA yang pernah jaya hingga tahun 2015. FWA-CDMA mampu menjawab kebutuhan USO di daerah tertinggal, terluar dan terdepan Negara Indonesia ini karena PT Telkom memiliki infrastruktur telekomunikasi di setiap kecamatan di daerah-daerah tertinggal dan terluar serta terdepan itu. FWA-CDMA dapat di hubungkan langsung ke stasiun sentral telepon terdekat dan base station atau radio pemancarnya dapat dipasang di daerah tersebut dengan memakai pembatasan kode area telepon setempat tapi dapat bergerak dilingkungan daerah itu. Kata Kunci : USO, FWA

Designing an Integrated Digital Marketing Governance Model for Products Made by Inmates in Correctional Institutions Melanie Mardolna Sine; Eko Sediyono; Evi Maria
SISTEMASI Vol 15, No 6 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i6.6485

This study aims to develop an integrated digital marketing governance model for products made by inmates in correctional institutions. The research addresses the lack of integration in the marketing activities of inmate-produced products, where product management, digital promotion, sales transactions, and activity reporting are largely performed through fragmented and manual processes. The study adopts the Design Science Research (DSR) methodology, encompassing the stages of system requirements identification, model design, system architecture development, business process visualization, and conceptual evaluation through expert review and focused group discussions. The proposed model integrates product management, digital promotion, sales transactions, activity documentation, digital monitoring, and institutional oversight into a unified digital marketing governance framework. The conceptual evaluation involved four experts, comprising two correctional rehabilitation officers and two vocational program managers, who confirmed that the proposed model adequately addresses the digital marketing management needs of correctional institutions. The findings further demonstrate that the use of social media, online marketplaces, and digital communication platforms can effectively support the marketing of inmate-produced products while maintaining appropriate institutional oversight and security controls. This study contributes by proposing an institutionally governed digital marketing model that can be implemented through a low-cost digital architecture, making it particularly suitable for organizations operating in environments with strict digital access restrictions.

ANALISIS DAN PERANCANGAN SISTEM INFORMASI ABSENSI KARYAWAN BERBASIS WEB MENGGUNAKAN QR CODE PADA DISKOMINFO KABUPATEN SEMARANG Arun Mohammad Maksum; Eko Sediyono
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.6928

Absensi merupakan hal yang penting bagi perusahaan sebagai salah satu indikator penilaian kerja pergawai. Kantor Diskominfo Kabupaten Semarang masih melakukan pengambilan data kehadiran secara manual. Hal ini menyebabkan kecurangan antar pegawai dan tidak efektif dal penyimpanan rekapitulasi data. Untuk mengatasi permasalahan tersebut, maka dibutuhkan pengambilan data kehadiran data pegawai secara online. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D). Desain penelitian ini menggunakan metode waterfall. Adapun metode pengambilan data pada penilitian ini yaitu wawancara dan observasi. Penelitian ini menghasilkan sistem absensi berbasis QR Code yang memungkinkan para pegawai dapat melakukan absensi dengan cepat dan mudah dan minim kecurangan antar pegawai. Hasil penelitian ini menunjukkan bahwa QR Code untuk absensi pegawai cukup berfungsi dengan baik dan dapat dipahami oleh semua pihak dengan mudah sehingga diharapkan dapat mempermudah absensi hanya dengan melakukan scan pada QR Code serta mempercepat rekapitulasi laporan absensi bagi perusahaan.

Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction Florentina Tatrin Kurniati; Daniel HF Manongga; Eko Sediyono; Sri Yulianto Joko Prasetyo; Roy Rudolf Huizen
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26683

In the field of object classification, identification based on object variations is a challenge in itself. Variations include shape, size, color, and texture, these can cause problems in recognizing and distinguishing objects accurately. The purpose of this research is to develop a classification method so that objects can be accurately identified. The proposed classification model uses Voting and Combined Classifier, with Random Forest, K-NN, Decision Tree, SVM, and Naive Bayes classification methods. The test results show that the voting method and Combined Classifier obtain quite good results with each of them, ensemble voting with an accuracy value of 92.4%, 78.6% precision, 95.2% recall, and 86.1% F1-score. While the combined classifier with an accuracy value of 99.3%, a precision of 97.6%, a recall of 100%, and a 98.8% F1-score. Based on the test results, it can be concluded that the use of the Combined Classifier and voting methods is proven to increase the accuracy value. The contribution of this research increases the effectiveness of the Ensemble Learning method, especially the voting ensemble method and the Combined Classifier in increasing the accuracy of object classification in image processing.

Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adhe Ronny Julians Adi Setiawan Adi Setiawan Adian Fatchurrohim Adila Safitri Adiyono, Soni Agus Priyadi Agus Subhan Akbar, Agus Subhan Agustinus Raharjo Ahmad Nuzulia Rahman Ahmad Zamsuri, Ahmad Aldian Umbu Tamu Ama Aldri Frinaldi Alvianto, Muhammad Nur Hendra Anak Agung Gede Sugianthara Andi Kristanto Andika, Awan Pijar Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anna Simatauw Anthony Anthony Antonius Oko Pranoto Anugerah Widi Anwar S Ardjo Anwar S. Ardjo Anwar S. Ardjo, Anwar S. April Lia Hananto Ardaneswari, Awanda Ardjo, Anwar S Arief Andriono Arief Andriono, Arief Ariel Kristianto Aries Dwi Indriyanti, Aries Dwi Arif Darmawan Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Arun Mohammad Maksum Atik Mawarni Aulia Oktaviana Avin Wimar Budyastomo Aviv Yuniar Rahman Awanda Ardaneswari Batawi, Rymond N. Bayu Surarso Brian Laurensz Brilliananta Radix Dewana Budhi Kristianto Cahya Tri Purnami Cahyaningtyas, Christian Catur Edi Widodo Chrisanty Mariana Rorimpandey Christanto, Henoch Juli Christian Lilik HS Nivak Dahur, Arnoldus Janssen Damayanti, Elok Daniel HF Manongga Daniel Riano Kaparang Danny Manongga Danny Sebastian David Setia Darmawan Defitroh Chen Sami'un Dewana, Brilliananta Radix Dharmaputra Palekahelu Dian Puspitadewi Kristyaningtyas Dinda Ayu Aprilia Dio Febrilian Tanjung Doni Wiryadinata Dwi Adityas Rarasati Dwi Mustika Kusumawardani, Dwi Mustika Dwi Setiawan Edna Maria, Edna Edwanda Arisandy Edy Jogatama Purhita Eko Nur Hermansyah Esti Zakia Darojat Evi Maria Faqih, Haikal Farid Farid Agushybana Feibe Lawalata Ferdian Aditya Pratama Fian Yulio Santoso Fikri Faidul Jihad Fikri Faidul Jihad Firdaus Dwi Prasetyo Firdaus Dwi Prasetyo, Firdaus Dwi Fitra Nur Asri, Muh Florentina Tatrin Kurniati Gatot Sasongko Gilang Muhamad Noer Gregorius Anung Hanindito Gudiato, Candra Haidar Shiddiqramzy Haikal Haikal Haikal Haikal Haikal Nur Rachmanrachim Achaqie Haikal Nur Rachmanrachim Achaqie Hakim, M. Iman Nur Hanif Prasetyo bhakti Adi Nugroho haryo kusumo Hendry Hertanto Mulianto Hery Santono Hery Santono Hetharie, Renee Yosua Hindriyanto Dwi Purnomo Huda, Baenil Humami, Faris Ilham Akbar Sodik Illyin Almeito Imaniar Sevtiyani Indrastanti Ratna Widiasari Irwan Sembiring Iwan Setyawan Iwan Setyawan Januar Agung Wicaksono Januar Agung Wicaksono Jemaictry Tamaela Jeny Maryana Nuban Johan Jimmy Carter Tambotoh Joseph Teguh Santoso Julce Adiana Sidette, Julce Adiana Jutono Gondohanindijo Juwita Artanti Kusumaningtyas Kartika Imam Santoso Kevin Mikhail Tulenan Kiswanto Kiswanto Kristoko Dwi Hartomo Kristyaningtyas, Dian P. Kuncoro, Wreda Agung Kusumaningtyas, Juwita Artanti Laksamana Rajendra Haidar Azani Fajri Latupeirissa, Ariyanto Lawalata, Feibe Lawang, Robert M.Z. Leo Candra Gunawan Wicaksono Leonardo Refialy Leonardo Refialy, Leonardo Lestari, Merrryana Lili Rusdiana, Lili M., Maria Magdalena Maipauw, Musa Marsel Malioy, Rimes Jopmorestho Maria Magdalena Martini Martini Martza Merry Swastikasari MARWATA, MARWATA Matheus Supriyanto Rumetna Mayestika, Anastasia Kezia Beatrix Melanie Mardolna Sine Melissa Modok Merryana Lestari Michael Elyas Ernawan Moh. Hasyimi Muay, Nikson Theys Muhammad Ikhsan Muhammad Nur Hendra Alvianto Muhammad Sholikin N.A. Miftahul Huda N.A. Miftahul Huda, N.A. Miftahul Nabiel Putra Adam Nabiel Putra Adam, Nabiel Putra Ni’mah Akbar Habibie Nofiyati Nofiyati, Nofiyati Nugroho, Samuel Danny Nurjazuli Nurjazuli Nurjazuli Nuzhah Al Waaidhoh Oky Dwi Nurhayati Onesimus Joumaran Usior P Purwanto P, Sri Yulianto Joko Panja, Eben Paryono, Tukino Penison Wenda Perdana, Adam Bagus Ponco Yuniarto Pranoto, Antonius Oko Pratama, Ferdian Aditya Pratindy, Raka Prisilia Talakua Priyadi Priyadi Purnama Harahap, Eka Pusaka, Semerdanta Putri Gloria Qurotul Aini Rachardian, Seprima Raden Mohamad Herdian Bhakti Rahmat Gernowo Rahmatika, Yuni Ramanda, Febri Renee Yosua Hetharie Reni Murnita Retno Setya Anggraeni Richi Eka Yanti Rissal Efendi Robert M.Z. Lawang Rohmad Abidin Romadhon, Zainur Romauli Basaria Romy Aziz Risaldi Roy Rudolf Huizen Ryo Pambudi Saian, Septovan Dwi Suputra Santoso, Fian Yulio Santoso, Nuke Puji Lestari Satriyo Satriyo Sausan Hidayah Nova Sekarlangit Sekarlangit Septovan Dwi Suputra Saian Setiawan, Santo Siti Shofiah Slamet Widodo Sodik, Ilham Akbar Solly Aryza Sri Achadi Nugraheni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Sri Yulianto Joko P Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suci Larasati Suhartono Suhartono Suharyadi Surarso Bayu Susanti, Novita Dewi Swastikasari, Martza Merry Tamaela, Jemaictry Teguh Wahyono Theo Pradikta Theofani, Gracia Tintien Koerniawati Tirsa Ninia Lina Tjokra, Cindy Vanesya Tri Wahyuningsih Trisna Wonda Trisna Wonda, Trisna Tulenan, Kevin Mikhail Tundjung Mahatma Untung Rahardja Viera Juniver Thenu Vina Chovan Epifania Wardoyono, Hengky Yakobus Kevin Dean Prasetyo Yayi Suryo Prabandari Yerik Afrianto Singgalen Yessica Nataliani Yonathan Saputra Yudo Devianto Yulian Hany Makaruku Yuliarman Saragih Zainal Arifin Hasibuan Zati Hulwani Zati, Hulwani Zukhruf, Afriza Meigi

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