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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Jurnal Ilmu Komputer dan Informasi IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Semantik MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Bulletin of Electrical Engineering and Informatics Rekam : Jurnal, Fotografi, Televisi Animasi JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Journal of Urban Society´s Arts Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Mathematical and Fundamental Sciences Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics agriTECH JFA (Jurnal Fisika dan Aplikasinya) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi SMATIKA EMITTER International Journal of Engineering Technology Proceeding of the Electrical Engineering Computer Science and Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Conference on Innovation and Application of Science and Technology (CIASTECH) JAVA Journal of Electrical and Electronics Engineering Jurnal Mnemonic Indonesian Journal of Electrical Engineering and Computer Science Aiti: Jurnal Teknologi Informasi Journal of Computer Networks, Architecture and High Performance Computing JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknologi Informasi Cyberku Makara Journal of Technology Jurnal Pengabdian Masyarakat Nasional Smatika Jurnal : STIKI Informatika Jurnal
Mochamad Hariadi
Institut Teknologi Sepuluh Nopember
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Akuisisi Foreground dan Background Berbasis Fitur DTC pada Matting Citra secara Otomatis Koeshardianto, Meidya; Yuniarno, Eko Mulyanto; Hariadi, Mochamad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020732195

Abstract

Teknik pemisahan foreground dari background pada citra statis merupakan penelitian yang sangat diperlukan dalam computer vision. Teknik yang sering digunakan adalah image segmentation, namun hasil ekstraksinya masih kurang akurat. Image matting menjadi salah satu solusi untuk memperbaiki hasil dari image segmentation. Pada metode supervised, image matting membutuhkan scribbles atau trimap sebagai constraint yang berfungsi untuk melabeli daerah tersebut adalah foreground atau background. Pada makalah ini dibangun metode unsupervised dengan mengakuisisi foreground dan background sebagai constraint secara otomatis. Akuisisi background ditentukan dari varian nilai fitur DCT (Discrete Cosinus Transform) yang dikelompokkan menggunakan algoritme k-means. Untuk mengakuisisi foreground ditentukan dari subset hasil klaster fitur DCT dengan fitur edge detection. Hasil dari proses akuisisi foreground dan background tersebut dijadikan sebagai constraint. Perbedaan hasil dari penelitian diukur menggunakan MAE (Mean Absolute Error) dibandingkan dengan metode supervised matting maupun dengan metode unsupervised matting lainnya. Skor MAE dari hasil eksperimen menunjukkan bahwa nilai alpha matte yang dihasilkan mempunyai perbedaan 0,0336 serta selisih waktu proses 0,4 detik dibandingkan metode supervised matting. Seluruh data citra berasal dari citra yang telah digunakan para peneliti sebelumnyaAbstractThe technique of separating the foreground and the background from a still image is widely used in computer vision. Current research in this technique is image segmentation. However, the result of its extraction is considered inaccurate. Furthermore, image matting is one solution to improve the effect of image segmentation. Mostly, the matting process used scribbles or trimap as a constraint, which is done manually as called a supervised method. The contribution offered in this paper lies in the acquisition of foreground and background that will be used to build constraints automatically. Background acquisition is determined from the variant value of the DCT feature that is clustered using the k-means algorithm. Foreground acquisition is determined by a subset resulting from clustering DCT values with edge detection features. The results of the two stages will be used as an automatic constraint method. The success of the proposed method, the constraint will be used in the supervised matting method. The difference in results from In the research experiment was measured using MAE (Mean Absolute Error) compared with the supervised matting method and with other unsupervised matting methods. The MAE score from the experimental results shows that the alpha matte value produced has a difference of 0.336, and the difference in processing time is 0.4 seconds compared to the supervised matting method. All image data comes from images that have been used by previous researchers.
Enhanced PBFT Blockchain based on a Combination of Ripple and PBFT (R-PBFT) to Cryptospatial Coordinate wibowo, Achmad Teguh; Hariadi, Mochamad; Suhartono, Suhartono; Shodiq, Muhammad
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.3041

Abstract

In this research, we introduce the combination of two Blockchain methods. Ripple Protocol Consensus Algorithm (RPCA) and Practical Byzantine Fault Tolerance (PBFT) are applied to cryptospatial coordinates to support cultural heritage tourism. The PBFT process is still used until the preparation process to ensure a maximum error of 33%, and every node would add a new chain in all nodes, so PBFT has a slower processing speed than other methods. This research cuts the PBFT process. After the preparation process in PBFT, the data was entered into the RPCA node and was calculated using an equation to minimize errors with a maximum limit of 20%. After this process, the was were sent to the commit process to store the data in all connected nodes in the Blockchain network; we call this combination of two methods R-PBFT. Combining the two methods can enhance data processing security and speed because it still uses the PBFT work combined with the speed of RPCA. Furthermore, this method uses a fault tolerance value from the RPCA of 20% to enhance data processing security and speed.
Information System Design at FGH Stores with Unified Modelling Language Hindarto, Djarot; Hariadi, Mochamad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2702

Abstract

This project aims to develop and execute a proficient information system at FGH Stores, to enhance sales performance and improve customer satisfaction. This study centers on incorporating information technology into routine business activities, intending to devise strategies that facilitate seamless consumer interactions and aid store management in effectively handling inventory and customer data. The research process includes the examination of business needs, the formulation of system architecture, the creation of user interfaces that prioritize ease of use, and the integration of databases. The resultant information system facilitates consumer registration as members, reduces browsing of product catalogs, and enables efficient execution of purchases. Furthermore, implementing shop management systems enables enhanced inventory monitoring, efficient customer data management, and improved responsiveness to consumer requests. This study assesses the effects of information systems on enhancing sales and operational efficiency by conducting data collection and analysis before and after deployment. The findings indicated that implementing information systems effectively enhanced the efficiency of the sales process and improved the customer experience, yielding substantial advantages for the growth of retail establishments. This study offers valuable insights into the possible utilization of information technology within the retail industry while also contributing to the comprehension of the favorable effects that information systems integration may have on corporate expansion and customer satisfaction.
The application of Neural Prophet Time Series in predicting rice stock at Rice Stores Hindarto, Djarot; Hendrata, Ferial; Hariadi, Mochamad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2725

Abstract

Efficient inventory management and consistent rice supply are pivotal for the sustainability of small-scale food stalls. This research introduces an innovative approach to address this challenge through the Neural Prophet algorithm. By synergizing neural networks with additive regression models, the Neural Prophet captures intricate temporal patterns and trends within rice sales data. Our study evaluates the Neural Prophet's effectiveness in predicting rice sales, specifically for essential food vendors. Leveraging historical sales data from June 2022 to April 2023, the algorithm incorporates seasonality and trends and integrates external events, such as holidays, to heighten prediction precision. Our findings underscore the Neural Prophet's remarkable prowess in forecasting rice sales at primary food kiosks, adeptly discerning data trends and fluctuations, culminating in reliable future sales projections. The model boasts compelling performance metrics: MAE = 12.90, RMSE = 15.80, and Loss = 0.0313. Beyond its technical merits, this research carries significant practical implications, empowering proprietors and suppliers of basic food stalls to streamline inventory management, avert stockouts, and curtail overstocking by harnessing the precision of rice demand forecasting facilitated by the Neural Prophet algorithm.
AUTONOMOUS MOBILE ROBOT BERBASIS PLAYER/STAGE MENGGUNAKAN PARALLEL SELF-ORGANIZING FEATURE MAPS UNTUK PEMETAAN LINGKUNGAN GLOBAL YANG TIDAK DIKETAHUI Mochamad Hariadi; Muhtadin Muhtadin; Mauridhy Hery Purnomo; Muhammad Rivai
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 6, No 2 Juli 2007
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.785 KB) | DOI: 10.12962/j24068535.v6i2.a189

Abstract

Autonomous mobile robot adalah salah satu jenis robot yang dikembangkan dengan kemampuan untuk mengendalikan dirinya sendiri walaupun dalam lingkungan yang tidak diketahui. Untuk dapat melakukan pengendalian secara mandiri, bisa dilakukan dengan melalui proses pembelajaran secara mandiri tanpa supervisi (unsupervised) dengan mempertimbangkan input dari sensor-sensor yang dipakai. Pada saat robot melakukan pengenalan terhadap lingkungannya, diperlukan perosesan komputasi yang berat dengan waktu yang lama. Penelitian ini akan membahas tentang penggunaan Kohonen Self-Organizing Feature Maps (SOFM) atau (SOM)  sebagai metode pembelajaran Autonomous mobile robot dalam mengenali lingkungannya. Proses pembelajaran dilakukan dengan menggunakan parallel processing menggunakan LAM-MPI, Simulasi dilakukan dengan menggunakan software simulasi Player/ Stage. Hasil simulasi menunjukkan bahwa SOM menampilkan performa yang baik dalam memetakan lingkungan yang tidak diketahui tanpa supervisi. Hasil pemrosesan dengan menggunakan parallel processing juga menunjukkan dicapainya kecepatan yang signifikan dalam proses pembelajaran robot untuk mengenali lingkungannya. Planning dengan menggunakan A* mampu untuk memberikan jalur yang efektif bagi robot dalam mencapai titik tujuan. Kata Kunci: autonomous, pemetaan, path-planning, komputasi parallel,  parallel SOM
Optimasi Pemodelan Porositas Tanah Menggunakan Algoritma Genetika Beny Yulkurniawan Victorio Nasution; Mochamad Hariadi; Eko Mulyanto Yuniarno; Anang Kukuh Adisusilo
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 7 No 01 (2017): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v7i01.22

Abstract

Porositas tanah dibutuhkan untuk diketahui agar tanah dapat dimanfaatkan sebelum bercocok tanam. Porositas dapat ditingkatkan dengan melakukan pengolahan tanah. Salah satu caranya adalah dengan melakukan pembajakan lahan menggunakan peralatan bajak, contohnya bajak singkal. Bajak singkal memiliki kemampuan untuk memecah permukaan tanah, membalik dan mengubur rumput serta tanaman sisa panen dan gulma. Aktivitas tersebut menghasilkan bongkahan tanah dengan ukuran lebih kecil untuk menyediakan ruang bagi air dan udara dalam tanah. Pembentukan ruang dalam tanah dalam proses pengolahan tanah dipengaruhi oleh sudut potong dan kecepatan maju bajak. Pada sebuah hipotesa menyebutkan bahwa sudut potong dan kecepatan maju bajak berpengaruh terhadap porositas tanah. Pertambahan sudut potong vertikal bajak, menyebabkan porositas meningkat. Pertambahan ini menyebabkan penurunan gaya normal sehingga kecepatan maju bajak bertambah. Pertambahan kecepatan maju bajak juga mempengaruhi peningkatan porositas. Pada hipotesa tersebut dihasilkan sebuah pemodelan perhitungan porositas tanah dengan empat buah variabel yang belum diketahui nilainya. Keempat buah variabel tersebut akan dicari nilainya menggunakan pendekatan algoritma genetika. Agar proses pada algoritma genetika dapat berjalan optimal, diperlukan nilai acuan lain yang sudah diketahui, seperti sudut potong, kecepatan dan porositas. Besaran sudut adalah 20°, kecepatan pada gigi terendah adalah 0,83 m/s dan nilai porositas adalah 51,45%. Optimasi yang dilakukan oleh algoritma genetika menghasilkan nilai porositas sebesar 51,4498%.
Semi Automatic Retargeting for Facial Expressions of 3D Characters with Fuzzy logicBased on Blendshape Interpolation Zikky, Moh.; Hariadi, Mochamad; ., Muhtadin
EMITTER International Journal of Engineering Technology Vol 1 No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1487.883 KB) | DOI: 10.24003/emitter.v1i1.12

Abstract

To produce a 3D virtual character's face expression of human’s natural face expressions, facial motion capture is the technique considered to be the most effective one, especially in terms of production speed. However, there are still some results showing that the expression is not so expressive, especially on the side of the 3D character which has a different facial features than the real models regarding to the application of it. In this research, the correction of the basic expressions of faces in the process of facial motion retargeting was done by using blendshape interpolation method that was based on fuzzy logic. Blendshape interpolation method is the method used to combine multiple shapes into one blend with the concept of interpolation. In this research, the process of blendshape meets the concept of linear interpolation which the movement of a point of vertexon blendshape used straight lines . Blendshape method will be run as a proofreader on the results of retargeting process. Theweighting of blendshape will be assigned automatically from the results of the calculation of fuzzy logic, which refers to the input of the marker position of the facial motion retargeting. This weight is then used to provide improvements to create more expressive expressions. This process will be easier and faster to do than doing customize one by one at the vertex point manually. To avoid the appearance of irregular motion (haphazard movement), it is necessary to give the limitation of the weight (weight constraint) with range of [0,1].Keywords : Blendshape, retargeting, fuzzy logic, facial motion capture.
Stable Algorithm Based On Lax-Friedrichs Scheme for Visual Simulation of Shallow Water Arry Sanjoyo, Bandung; Hariadi, Mochamad; Purnomo, Mauridhi Hery
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.479

Abstract

Many game applications require fluid flow visualization of shallow water, especially dam-break flow. A Shallow Water Equation (SWE) is a mathematical model of shallow water flow which can be used to compute the flow depth and velocity. We propose a stable algorithm for visualization of dam-break flow on flat and flat with bumps topography. We choose Lax-Friedrichs scheme as the numerical method for solving the SWE. Then, we investigate the consistency, stability, and convergence of the scheme. Finally, we transform the strategy into a visualization algorithm of SWE and analyze the complexity. The results of this paper are: 1) the Lax-Friedrichs scheme that is consistent and conditionally stable; furthermore, if the stability condition is satisfied, the scheme is convergent; 2) an algorithm to visualize flow depth and velocity which has complexity O(N) in each time iteration. We have applied the algorithm to flat and flat with bumps topography. According to visualization results, the numerical solution is very close to analytical solution in the case of flat topography. In the case of flat with bumps topography, the algorithm can visualize the dam-break flow and after a long time the numerical solution is very close to the analytical steady-state solution. Hence the proposed visualization algorithm is suitable for game applications containing flat with bumps environments.
PENGUATAN LITERASI KESEHATAN MELALUI MEDIA FILM DOKUMENTER PARTISIPATORI UNTUK ADVOKASI SANITASI LAYAK DI PEMUKIMAN PESISIR KOTA SURABAYA Nugrahardi Ramadhani; Didit Prasetyo Didit Prasetyo; Kartika Kusuma Wardani; Tedi Mursalat Farqo; Yosia Enggar Kurniawan; Imam Wahyudi Farid; Mochamad Hariadi
Jurnal Pengabdian Masyarakat Nasional Vol 6, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v6i1.38496

Abstract

Sanitasi layak merupakan prasyarat utama kesehatan masyarakat dan bagian dari target Sustainable Development Goals (SDGs) poin 6, namun implementasinya di kawasan pesisir Surabaya masih menghadapi kesenjangan antara kebijakan dan praktik masyarakat, terutama pada pengelolaan sampah domestik dan limbah cair rumah tangga. Program pengabdian kepada masyarakat ini bertujuan meningkatkan literasi kesehatan melalui media film dokumenter partisipatori sebagai instrumen edukasi dan advokasi sanitasi berbasis komunitas. Metode yang digunakan adalah pendekatan kualitatif deskriptif melalui observasi lapangan, wawancara mendalam dengan masyarakat pesisir dan pemangku kepentingan, serta participatory video making yang melibatkan warga secara aktif dalam proses produksi media. Kegiatan diseminasi dilakukan melalui screening film kepada sekitar 50–60 peserta yang terdiri dari kader lingkungan, karang taruna, dan perwakilan masyarakat wilayah Surabaya. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat terhadap isu sanitasi pesisir, terutama terkait bahaya limbah domestik seperti popok sekali pakai yang berkontribusi hingga 31% pencemar sungai, serta meningkatnya partisipasi warga dalam diskusi dan praktik pengelolaan sampah rumah tangga pasca pemutaran film. Data dianalisis menggunakan teknik analisis isi (content analysis) dan triangulasi sumber melalui observasi, wawancara, serta dokumentasi visual kegiatan. Temuan ini menunjukkan bahwa media dokumenter partisipatori efektif sebagai instrumen komunikasi kesehatan lingkungan sekaligus alat advokasi kebijakan sanitasi berbasis komunitas di kawasan pesisir perkotaan.
Co-Authors Abd Kadir Mahamad Achmad Teguh Wibowo Aditiya, Fajar Adlan Hakim Ahmad Agung Dewa Bagus Soetiono Ahmad Zaini Ahmad Zainul Fanani Aji Prasetya Wibawa Alfiyan Alfiyan, Alfiyan Anang Kukuh Adisusilo Andreas Andrianingsih Arifin Arifin Arry Maulana Syarif Arry Sanjoyo, Bandung Astrid Novita Putri, Astrid Atris Suyantohadi Atris Suyantohadi Atris Suyantohadi Bambang Purwantana Beny Yulkurniawan Victorio Nasution Beny Yulkurniawan Victorio Nasution Bernaridho Hutabarat, Bernaridho Budi Setiyono Cahyo Darujati Cahyo Darujati Catur Supriyanto Catur Supriyanto Chandra Eko Wahyudi Utomo Christyowidiasmoro Christyowidiasmoro Damastuti, Fardani Annisa Deny Kurniawan Didit Prasetyo Didit Prasetyo Djunaidi, Fariz DWI CAHYONO Dwi Ratna Sulistyaningrum Eko Mulyanto Yuniarno Eko Mulyanto Yuniarno Endah Tri Esti Handayani Endang Setyati Evi Rokhayati Fachri, Moch Fachrul Kurniawan Fresy Nugroho Fresy Nugroho Fresy Nugroho Gunawan Gunawan Gunawan Guruh Fajar Shidik H. Hammad, Jehad A. Harfianti, Nadya Putri Hartarto Junaedi Hendrata, Ferial Hindarto, Djarot I Ketut Eddy Purnama I Ketut Purnama, I Ketut I.G.P. Asto Buditjahjanto Imam Wahyudi Farid Ingrid Nurtanio Jarot Dwiprasetyo Jaya Pranata, Jaya Jehad A. H. Hammad Joan Santoso Johannes Gerdes Kartika Kusuma Wardani Kasman Kasman Ketut Tirtayasa Khothibul Umam Koeshardianto, Meidya Kurniawan, Fachrul Latius Hermawan Lukman Zaman mardi, Supeno Masy Ari Ulinuha Matahari Bhakti Nendya, Matahari Bhakti Mauridhi H Purnomo Mauridhi H. Purnomo Mauridhi H. Purnomo Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Herry Purnomo Mauridhi Hery Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhi Purnomo, Mauridhi Mauridhy Hery Purnomo Mauridhy Hery Purnomo Moch Fachri Moh. Aries Syufagi Moh. Aries Syufagi Moh. Zikky, Moh. Muhammad Rivai Muhammad Shodiq, Muhammad Muharman Lubis Muhtadin ., Muhtadin Muhtadin Muhtadin Munir Munir Nugrahardi Ramadhani Padmasari, Ayung Candra Prasetyo, Didit Pulung Nurtantio Andono Radi Radi Rahmat Fauzi Rahmat Syam Ratih Titi Komalasari Restuadi Studiawan Ricardus Anggi Pramunendar Ruri Suko Basuki Saiful Bukhori Saiful Bukhori Saiful Yahya Samuel Gandang Gunanto Sharifah Saon Shung Ping Chen Soetiono, Agung Dewa Bagus Sri Wiwoho Mudjanarko, Sri Wiwoho Suhartono Sukirman Sukirman Supeno Mardi S. N, Supeno Mardi Supeno Mardi Susiki Nugroho, Supeno Mardi Surya Sumpeno Susi Juniastuti Tedi Mursalat Farqo Tri Arief Sardjono Tri Daryatni Wahyuddin, Mohammad Iwan Wisnu Widiarto Yosia Enggar Kurniawan Yoyon K Suprapto Yoze Rizki Yuhefizar Yuhefizar Yulianto Tejo Putranto Yunifa Miftachul Arif Zaini, Ahmad Zaman, Lukman