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Hindriyanto Dwi Purnomo

Universitas Kristen Satya Wacana

Author-ID : 349478

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Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading Astawa, I Wayan Aswin Dew; Purnomo, Hindriyanto Dwi; Sembiring, Irwan
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1133

Mind-uploading, the vision of transferring human consciousness into a digital realm, relies on a profound comprehension of the brain and cutting-edge technology. Non-invasive cognitive Brain-Computer Interfaces (BCI) offer a promising avenue for delving into neural activity and bridging the brain-machine gap. This research explores the potential of non-invasive cognitive BCI in realizing mind-uploading through a systematic literature review (SLR), analyzing recent research that focuses on its current progress and implications for mind-uploading. The SLR unveils significant strides in non-invasive cognitive BCI, demonstrating increased precision in recording and decoding cognitive processes and fostering a deeper understanding of these processes. This progress is attributed to a diverse range of emerging feature extraction and decoding methods, transforming subtle neural signals into interpretable commands. Notably, advancements in signal processing and neuroimaging techniques enhance communication speed and clarity between the brain and computer. Furthermore, the development of cost-effective methods, frameworks, and hardware holds the promise of broader accessibility to BCI technology. However, significant hurdles remain. The computational demands of current cognitive BCI systems pose a substantial challenge, while the scarcity of high-quality training datasets hampers algorithm development and accuracy. The poor signal quality causes difficulties in recording neural complexity and hampers accuracy. In conclusion, non-invasive cognitive BCI has significant potential to pave the way for mind-uploading. However, its limitations, make their capabilities remain insufficient to fully realize this ambitious vision. This highlights the critical need for sustained research and innovation to bridge the gap between current understanding and the exciting realm of mind-uploading.

Optimalisasi Hyper Parameter Convolutional Neural Networks Menggunakan Ant Colony Optimization Santoso, Fian Yulio; Sediyono, Eko; Purnomo, Hindriyanto Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241127105

Berbagai bidang, termasuk pertanian dan kesehatan, mengalami masalah klasifikasi citra yang dapat diatasi melalui beberapa metode. Salah satu metode tersebut menggabungkan convolutional neural networks (CNN) dengan deep learning, tetapi hyperparameter, seperti fungsi loss, fungsi aktivasi, dan optimizers, memengaruhi kinerjanya. Hyperparameter ini memerlukan pengoptimalan, dan metode yang ada, seperti algoritma genetika dan pengoptimalan ant colony, dapat digunakan untuk tujuan ini. Pengoptimalan ant colony terbukti efektif dalam mengoptimalkan deep learning, dan penelitian ini berkontribusi pada penyetelan otomatis berbagai hyperparameter menggunakan ant colony untuk klasifikasi gambar. Pada penelitian ini menggunakan dataset MNIST yang bertujuan untuk mengidentifikasi digit pada citra. Dataset yang digunakan terbagi menjadi 2, dataset pelatihan dan dataset validasi. Dataset pelatihan terdiri dari 33.600 gambar, dan dataset validasi terdiri dari 8.400 gambar. Hasil menunjukkan bahwa optimasi ant colony mencapai akurasi 97,46% dengan data validasi dan 99,69% dengan data pelatihan, yang mengungguli algoritma genetika dengan akurasi masing-masing 94,60% dan 97,59% dengan data validasi dan pelatihan. Selain itu, pengoptimalan ant colony membutuhkan waktu 27,94 detik untuk dilatih, sedangkan algoritme genetika membutuhkan 22,25 detik.

Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking Huda, Baenil; Sembiring, Irwan; Setiawan, Iwan; Manongga, Danny; Purnomo, Hindriyanto Dwi; Hendry, Hendry; Fauzi, Ahmad; Lia Hananto, April; Tukino, Tukino
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 4: Agustus 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.1147686

Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning. Abstract This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.

Pengembangan Perangkat Lunak Berbasis Website Menggunakan Kombinasi Metode Scrum Dan V-Model Tumbade, Marcho Oknivan; Hartomo, Kristoko Dwi; Purnomo, Hindriyanto Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 3: Juni 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.938456

Penelitian membahas software engineering berbasis website dengan hybrid model integrasi pada universitas terkait. Rumusan masalah penelitian menghasilkan software engineering berbasis website mudah digunakan serta diakses mahasiwa berstatus aktif, menghasilkan software engineering layanan berbasis website mampu melacak status aduan, dan efektivitas serta efisiensi hybrid model integrasi antara metode Agile Scrum dan V-Model dalam development software engineering. Hasil penelitian untuk menyelesaikan masalah menggunakan metode deskriptif kualitatif dengan dukungan hybrid model integrasi Scrum dan V-model sehingga mengusulkan integrasi Scrum V-Plus berbasis website, hybrid model integrasi memanfaatkan kelemahan masing masing metode agar saling melengkapi, sehingga peranan Scrum sebagai tahapan awal perancangan lalu dikembangkan V-model secara terstruktur dan tersistematik kedalam modul development proses software engineering. Dengan adanya Model Integrasi Scrum V-Plus yang berjalan maka dilakukan rancangan prototype model, design dan pengujian website sebagai media validasi pembuktian bahwa dokumentasi proses bisnis secara terstruktur memiliki dampak signifikan terhadap kolaborasi metode dalam menghasilkan produk. Penelitian mengusulkan Model Scrum V-Plus Hybrid yang diadopsi dari kolaborasi kedua metode untuk berperan penting terhadap tahapan perancangan engineering terstruktur, fleksibel secara keseluruhan dalam mengintegrasikan beberapa tahapan, sehingga rancangan software terlaksana dengan baik dibuktikan model integrasi website bagi mahasiswa berstatus aktif menggunakan open data base connectivity restfulAPI pada deployment diagram berdasarkan model class diagram yang dilengkapi dengan boundary, entity dan conrol. Hybrid model integrasi memiliki dampak signifikan dibandingkan penggunaan secara terpisah dengan dibuktikan integrasi testing.

Leveraging Machine Learning Models to Enhance Startup Collaboration and Drive Technopreneurship Wijono, Sutarto; Rahardja, Untung; Purnomo, Hindriyanto Dwi; Lutfiani, Ninda; Yusuf, Natasya Aprila
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 3 (2024): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i3.462

In the dynamic and competitive realm of startups, identifying and cultivating effective collaborations is crucial for sustained success. This research evaluates how machine learning (ML) technologies can enhance startup collaborations by advancing decision-making processes through the analysis of historical data. Employing the SmartPLS methodology, this study collected data from 220 stakeholders, including 207 actively engaged in startups that are either utilizing or integrating ML technologies. The investigation focuses on understanding ML models, the importance of historical data, and the dimensions of collaboration critical to the success of startups. Through analysis with PLS-SEM, it was found that ML models significantly boost inter-startup synergy and the effectiveness of collaborative efforts. The results provide vital insights for industry practitioners and strategic decision-makers, offering practical strategies to employ ML in optimizing collaboration and ensuring sustainable growth within the technopreneurship arena. This study not only highlights the benefits of ML in fostering cooperative ventures but also aims to refine the strategic frameworks essential to the startup ecosystem.

Perancangan Sistem Replikasi Dan Sistem Backup Database Postgresql Menggunakan Repmgr Dan Barman Nahak, Yosef Jeffri Silvanus; Dwi Purnomo, Hindriyanto
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1319

A database is an object consisting of a set of data that is important in terms of management. If there is a disturbance to the database that makes the data from a database lost or damaged, a way is needed to recover the data and a way is needed to prevent the absence of data. The purpose of this research is to test data availability using repmgr and barman. The research begins with installing a virtual machine, installing a replication and backup system followed by testing. The result of this research is that the repmgr and barman functions on the postgresql database provide a comprehensive solution for replication and backup management in the postgresql environment. Where repmgr can simplify replication administration tasks with failover and switchover functions and ensure high availability in the postgresql database while barman performs an efficient backup system as stated in the PITR barman function.Keywords: Replication; Backup Recovery; PostgresqlÂ AbstractDatabase merupakan objek yang terdiri dari sekumpulan data yang dalam hal pengelolaanya menjadi penting. Jika terjadi gangguan terhadap database yang membuat data dari suatuÂ databasehilang ataupun rusak maka diperlukan cara untuk memulihkan data sertaÂ diperlukan cara untuk mencegah dengan ketersiadaan data. Tujuan penelitian ini adalah menguji avaibilitas data dengan menggunakan repmgr dan barman. Penelitian diawali dengan menginstall virtual machine, instalasi sistem replikasi dan backup dilanjutkan dengan pengujian. Hasil dari penelitian ini adalah fungsi repmgr dan barman pada database postgresql memberikan solusi yang komprehensif untuk manajemen replikasi dan backup dalam environtment postgresql. Dimana repmgr dapat menyederhanakan tugas administrasi replikasi dengan fungsi failover dan switchover serta memastikan high availability dalam database postgresql sedangkan barman melakukan sistem backup dengan efisien seperti tercantum dalam fungsi barman PITR.Kata kunci: Replikasi; pemulihan cadangan Postgresql

IoT-Based Community Smart Health Service Model: Empowering Entrepreneurs in Health Innovation Jonas, Dendy; Purnomo, Hindriyanto Dwi; Iriani, Ade; Sembiring, Irwan; Kristiadi, Dedy Prasetya; Nanle, Zeze
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.461

The Indonesian government aims to improve public health by integrating a unified health platform with regional systems for effective decision-making. However, the existing health information system is inadequate for broader decision-making needs, focusing primarily on individuals with existing health issues and not adequately addressing the needs of disaster victims, such as those affected by floods, accidents, and burns. Tangerang City, located in Banten Province, is a flood-prone area that faces annual disasters, highlighting this gap. To address this issue, this study proposes the development of a Health Internet of Things (HIoT) model designed to support rapid decision-making and enhance community health services. The proposed IoT-based network will be implemented in residential complexes, private clinics, schools, and places of worship, enabling real-time monitoring of health conditions and facilitating disaster or pandemic mitigation. Data collected from these communities will be transmitted to nearby hospitals for immediate medical assistance. Preliminary findings suggest that the IoT-based e-health system offers significant benefits, including faster patient care, improved data accuracy, and reduced operational costs. These results underscore the potential of HIoT to enhance community-based health services. The study provides a foundation for future research and practical applications. Further investigation will be conducted to evaluate the scalability of the system in diverse communities and its impact on long-term health outcomes.

PERFORMANCE ANALYSIS OF GRADIENT BOOSTING MODELS VARIANTS IN PREDICTING THE DIRECTION OF STOCK CLOSING PRICES ON THE INDONESIA STOCK EXCHANGE Kho, Delvian Christoper; Purnomo, Hindriyanto Dwi; Hendry, Hendry
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1393-1408

Accurately predicting stock market trends remains a significant challenge for investors due to its dynamic nature. This study explores the performance of Gradient Boosting models, including XGBoost, XGBoost Random Forest, CatBoost, and Gradient Boosting Scikit-Learn, in predicting stock market trends such as sideways movement, uptrends, downtrends, and volatility. Using four datasets from the Indonesia Stock Exchange, the research integrates technical, fundamental, and sentiment data, encompassing 37 features. Modeling and testing are conducted using Orange tools and Python, with performance evaluated through metrics such as Mean Absolute Percentage Error (MAPE), R-squared (R²), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). Results indicate that XGBoost and XGBoost Random Forest consistently outperform other models in predicting stock price movements. These findings highlight the potential of Gradient Boosting models in providing accurate and reliable predictions, offering valuable insights for investors, financial analysts, and researchers to enhance investment strategies and adapt to market fluctuations effectively.

Aplikasi Android untuk Monitoring Lahan Pertanian secara Realtime Berbasis Internet of Things Jihot Lumban Gaol; Hindriyanto Purnomo; Budhi Kristianto; Radius Tanone; Yos Richard Beeh; Nina Setiyawati; Markus Permadi; Raynaldo Raynaldo; Riko Yudistira
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3039

The development of technology is very helpful in agriculture by using the internet to get the information we need. The problem that farmers think of is that they cannot easily and quickly get information in the form of light intensity, precipitation, soil pH, soil moisture, soil temperature, humidity and air temperature. When farmers get the information they need from agricultural land, they usually get information through the internet so they are considered less efficient as it is quite time consuming. To solve this problem, a system is designed using the research and development method (RnD). A new Android-based application that can display data in text and graphics that are more easily accessible to farmers. This study creates an Android-based mobile application based on tests using the Android interface to display information about agricultural land conditions and display graphical data that is updated every 5 minutes. Keywords— Land monitoring, Agriculture, IoT, Android Mobile Application

Pendampingan Remaja dalam Alpha Camp Persekutuan Gereja-Gereja di Indonesia (PGI) Maslebu, Giner; Walangara Nau, Novriest Umbu; Sampoerno; Hermanto Abraham, Rendy; Wisnu Wibisono, Indra; Wahyono, Teguh; Dwi Purnomo, Hindriyanto; Kristianto, Budhi; Karema Sarajar, Dewita; Yuli Agung Suprabowo, Gunawan; C. Leuwol, Sylvie; Nahusona, Ferry; Picauly, Irma Amy
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/jms.v5i22024p119-129

Remaja merupakan suatu pelayanan kategorial yang menyasar kelompok usia antara anak-anak (sekolah minggu) dan pemuda. Tekanan stereotip, ekspektasi tinggi tanpa dukungan memadai, dibarengi dengan perubahan masif akibat kemajuan teknologi dan informasi dapat memicu permasalahan kesehatan mental generasi muda jika tidak dikelola dengan bijak. Tantangan lain yang dihadapi adalah mengenai spiritualitas remaja. Persekutuan Gereja-gereja di Indonesia (PGI) melihat perlunya mengadakan kegiatan bagi remaja dan pendamping/pembina remaja sebagai platform untuk memperlengkapi para remaja dan pembina dengan berbagai pengetahuan dan kapasitas yang diharapkan mampu membekali remaja dan pembina dalam pelayanan dan kehidupan berbangsa sehari-hari. Pendampingan yang dilakukan oleh para ahli di UKSW meliputi isu-isu seputar perkembangan psikologis, pengembangan bakat-minat, kecerdasan buatan dan implementasi dalam pelayanan serta gerakan cinta lingkungan lewat aksi tanam pohon di desa. Hasilnya, para peserta mendapatkan pengalaman berharga yang tampak dalam hasil survey kepuasan dimana mayoritas responden puas terhadap pendampingan dan 100 % responden memperoleh tambahan pengetahuan.

Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Ade Iriani Adi Nugroho Adimas Tristan Nagara Hartono Adriyanto Juliastomo Gundo Afelia Jozalin Elisa Sakalessy Agung Rizky Agung Wibowo Agus Priyadi Ahmad Bayu Yadila Akhfan Setiyaji Andre Kurniawan Andreas A. Sukmana Andrew Aquila Chrisanto Pabendon Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Angela Atik Setyanti Anton Hermawan Anton Hermawan Anwar, Muchamad Taufiq April Firman Daru April Lia Hananto Aris Puji Widodo Aris Tri Joko Harjanto Arseta, Gama Astawa, I Wayan Aswin Dew Atmoko Nugroho Aziz Jihadian Barid Azzahra Nurwanda Bandung Pernama Baun, Sindy Cristine Budhi Kristianto Budi Kristianto Budi Kristianto, Budi C. Leuwol, Sylvie Cahyaningtyas, Christyan Cahyo Dimas K Chandra Halim Chandra, Dian W. Charitas Fibriani Christyan Cahyaningtyas Daniel Kurniawan Daniel Kurniawan Danny Manongga Danu Satria Wiratama Deden Rustiana Dedy Prasetya Kristiadi Dewita Karema Sarajar Didit Budi Nugroho Dody Agung Saputro Dwi Hosanna Bangkalang Edwin Zusrony Eka Purnama Harahap Eko Sediyono Eliansion Ivan Elizabeth Betty Elok Kristiani eremia Silvester Sutoyo Erwien Christianto Eugene Tanuwijaya Evang Mailoa Evangs Mailoa Fajar Rahmat Faudisyah, Alfendio Alif Fauzi Ahmad Muda Feibe Lawalata Florentina Tatrin Kurniati Galih Putra Cesna Giner Maslebu Gladis Tri Enggiel Griya Jitri Pabutungan Gudiato, Candra Hanita Yulia Hanna Arini Parhusip Hari Purwanto Hendra Kusumah Hendra Waskita Hendradito Dwi Aprillian Hendro Steven Tampake Hendry Hendry Hendry Heni Pujiastuti Heru Riza Chakim Hery Santono Hery Santono HR. Wibi Bagas N Hsin Rau Huda, Baenil Hui-Ming Wee Indra Wisnu Wibisono Irdha Yunianto Irwan Sembiring Istiarsi Saptuti Sri Kawuryan Istiarsih Saputri Sri Kawuryan Iwan Setiawan Iwan Setyawan Janinda Puspita Anidya Jessica Nathania Kho Jihot Lumban Gaol Joanito Agili Lopo Jonas, Dendy Joseph Teguh Santoso Kainama, Marchel Devid Kho, Delvian Christoper Krismiyati Kristoko Dwi Hartomo Lea Klarisa Liza Widyarini Lumban Gaol, Jihot Markus Permadi Mau, Stevanus Dwi Istiavan Maya Sari Mellyuga Errol Wicaksono Merryana Lestari Mira Mira Mira Mochamad Heru Riza Chakim Muhammad Aufal Muhammad Rizky Pribadi Nadya Octavianna Lompoliuw Nahak, Yosef Jeffri Silvanus Nahusona, Ferry Nanle, Zeze Nina Rahayu Nina Setiyawati Ninda Lutfiani Ninda Lutfiani Novriest Umbu Walangara Nau Nurrokhman, Nurrokhman Nyree Ani Oliver Sauntos Permadi, Markus Picauly, Irma Amy Pratyaksa Ocsa Nugraha Saian Priatna , Wowon Purwanto Putri, Violita Eka Radius Tanone Ramos Somya Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Rendy Hermanto Abraham Richard William Kho Riko Yudistira Robert William Ruhulessin Rufina Rahma Ajeng Setyaningsih Safitri, Adila Sampoerno Santoso, Fian Julio Santoso, Fian Yulio Setyanti, Angela Atik Sri Kasmiyati Sri Kawuryan, Istiarsi Saptuti Sri Sri Yulianto Joko Prasetyo Sugiman, Marcelino Maxwell Sutarto Wijono Syahrul Mu’Arif Wahid Syamsul Arifin Tad Gonsalves Tad Gonsalves Teguh Indra Bayu Teguh Wahyono Theophilus Wellem Tio Nurtino Tirsa Ninia Lina Tri Wahyuningsih Trivena Andriani Tukino, Tukino Tumbade, Marcho Oknivan Tungady, Cornelius Arvel Pratama Untung Rahardja Utama, Deffa Ferdian Alif Valentino Kevin Sitanayah Que Vinsensius Wijaya Wibowo, Mars Caroline Wilujeng Ayu Nawang Sari Winny purbaratri Wiwien Hadikurniawati Yerik Afrianto Singgalen Yessica Nataliani Yos Richard Beeh Yudistira, Riko Yuli Agung Suprabowo, Gunawan Yuliana Tien Bayangkhariwati Tacoh Yusuf, Natasya Aprila Zakaria, Noor Azura

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