Article Per Year (5 Year)
p-Index From 2021 - 2026
3.457
P-Index
This Author published in this journals
All Journal JURNAL BISNIS STRATEGI TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Inovasi Teknologi Pendidikan Jurnal Edukasi dan Penelitian Informatika (JEPIN) POROS TEKNIK Journal of Animation & Games Studies Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SINTECH (Science and Information Technology) Journal Jurnal ULTIMATICS CYBERNETICS Jurnal Keperawatan dan Fisioterapi (JKF) Jurnal Repositor Jurnal Perempuan & Anak Joutica : Journal of Informatic Unisla JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Makara Journal of Technology JGGAG (Journal of Games, Game Art, and Gamification)
Hardianto Wibowo
Universitas Muhammadiyah Malang
Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 46 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 46 Documents
Search

 1   2   3   4   5 
The Role Of Women In Improving The Income For Economic Changes In Underprivileged Families Wildan Suharso; Rina Karyati; Vivi Andriyani; Taufan Reza Achmadi; Hardianto Wibowo
Jurnal Perempuan dan Anak Vol. 3 No. 1 (2020): Februari
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.443 KB) | DOI: 10.22219/jpa.v3i1.11500

Abstract

Women are a significant part of every aspect of life, from a large environment to the smallest one, women are sometimes appointed as heads of a unit or organization. The role of women is increasingly felt when in a family that has a category of poverty families, the ability of women to obtain a budget, and expenditure becomes very important. Economic change is faster if women can manage income, expenses, and households well. This study analyzes the role of women in increasing income for changes in the underprivileged economy using Participatory Rural Appraisal (PRA) by combining secondary data review and direct observation. Strengths Weaknesses Opportunities Threats (SWOT) Analysis is used to determine the environmental conditions used by case studies when conducting research. Analysis is used to determine the relationship between income and changes in the economic level. The data used are secondary data supported by direct data collection and field collection. The number of respondents used as sample data is 145 underprivileged families in the Lawang District of Malang, which are spread across four research areas with 36 data details in zone 1, 25 data in zone 2, 21 data in zone 3, and 63 data in zone 4. Research Results show that the role of women is very important in efforts to improve the welfare of underprivileged families and analysis of the participation of changes in the relationship between increasing income with changes in the economic level of underprivileged families.
Music Information Retrieval Based on Active Frequency Wibowo, Hardianto; Suharso, Wildan; Azhar, Yufis; Wicaksono, Galih Wasis; Minarno, Agus Eko; Harmanto, Dani
Makara Journal of Technology Vol. 25, No. 2
Publisher : UI Scholars Hub

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

Abstract

Music is the art of combining frequencies. A balance of frequencies gives rise to a harmonious tone. Several features of music can be analyzed, and they include sociocultural background, lyrics, mood, tempo, rhythm, harmony, melody, timbre, and instrumentation. In this study, we use the frequency of instrumentation as a feature for classification because each instrument has a frequency range. To test this frequency range, we use five music genres and one music playing skill. The five genres are dangdut, electronic dance music (EDM), metal, pop/rock, and reggae. The music playing skill is acoustic. Active frequencies are tested using the k-nearest neighbor method, and the results serve as basis of the accuracy of music classification. The classification accuracy for EDM, metal, and acoustic is over 70%, whereas that for dangdut, pop/rock, and reggae is less than 60%. In sum, the accuracy of music classification is influenced by the similarities in the music instruments used and the tempo.
Prediksi Harga Saham Jakarta Islamic Index Menggunakan Metode Long Short-Term Memory Didih Rizki Chandranegara; Raffi Ainul Afif; Christian Sri Kusuma Aditya; Wildan Suharso; Hardianto Wibowo
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 1 (2023): Volume 9 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i1.57561

Abstract

Saat ini investasi sudah sangat menyebar luas dan banyak dari kita sedang melakukannya. Investasi ini berguna untuk mengatasi kebutuhan hidup dimasa mendatang yang tidak menentu. Salah satu penyebab tidak menentunya kebutuhan dimasa mendatang adalah inflasi. Salah satu contoh investasi adalah saham. Di dalam jual beli saham di Indonesia terdapat Jakarta Islamic Index (JII). JII adalah salah satu index yang ada di pasar modal Indonesia yang mengelompokkan beberapa saham yang masuk dalam kriteria syariah dan dihitung rata-rata dari harga saham – saham tersebut. Dalam berinvestasi saham, kita tidak bisa melakukan pergerakan yang sembarangan karena saham yang relatif berubah-ubah menjadi penyebab kegagalan dalam berinvestasi saham. Dengan demikian ketika melakukan investasi saham harus dilakukan analisa yang tepat. Perkembangan teknologi saat ini sangat maju dan juga dapat membantu kita dalam melakukan analisa dalam berinvestasi dengan melakukan prediksi harga. Pada penelitian ini, akan dimanfaatkan kemajuan teknologi tersebut dengan melakukan penelitian prediksi, penelitian ini dilakukan menggunakan metode Long short Term-Memory (LSTM). Model LSTM yang diusulkan dapat memperoleh performa yang cukup baik dengan hasil RMSE mencapai 5.20877667554, dan MAPE 0.08658576985.
Music Features Pada Bidang Ilmu Komputer Menggunakan Modularity Clustering Suharso, Wildan; Arifianto, Sofyan; Wibowo, Hardianto; Chandranegara, Didih Rizki; Syaifuddin, Syaifuddin
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 13 No 1 Tahun 2022
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.13.1.%p

Abstract

Music features menjadi bagian dari berbagai disiplin keilmuan sehingga sering terjadi bias saat dilakukan pencarian pada mesin pencari, music features dapat termasuk ke dalam ilmu komputer, teknik hingga psikologi. Music features pada bidang ilmu komputer juga terkelompok menjadi beberapa bagian jika ditinjau dari rujukan yang dilakukan oleh peneliti terutama yang berasal dari artikel internasional yang terindeks scopus, berbeda dengan artikel Indonesia yang terkelompok pada Sinta berdasarkan Jurnal yang menerbitkan artikel. Pada penelitian ini dilakukan clustering terhadap artikel yang tergolong dalam bidang ilmu komputer dan memiliki kata kunci music features sehingga diperoleh 448 artikel. Metode yang digunakan adalah modularity clustering dengan menggunakan tool VOSviewer dan menghasilkan 3 cluster berdasarkan topik dan 7 cluster jika ditinjau dari kuantitas penulis yang menjadi co-author
Program Preventif dan Kuratif untuk Menurunkan Risiko Jatuh Lansia Persatuan Wredatama Republik Indonesia, Lamongan Wibowo, Hardianto; Prastowo, Bayu
JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Vol 3 No 1 (2024): Januari
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jipmi.v3i1.205

Abstract

Latar belakang: Lanjut usia merupakan fase terakhir pada siklus kehidupan manusia yang dimulai pada rentang usia 60 tahun. Fase tersebut mengakibatkan terjadinya penurunan fungsi keseimbangan secara progresif. Tujuan: Melakukan edukasi terkait risiko jatuh akibat penurunan fungsi keseimbangan dan memberikan program latihan untuk meminimalisir penurunan fungsi tersebut secara progresif. Metode: Metodologi pengabdian ini mengadopsi pendekatan Participatory Action Research (PAR) untuk mengentaskan problematika kesehatan melalui pemahaman berbasis keilmuan fisioterapi. Metode PAR secara aktif melibatkan atau membangkitkan kesadaran kritis melalui pemetaan, trust building, aksi dan refleksi dan evaluasi. Hasil: Hasil pemeriksaan keseimbangan menunjukkan bahwa lansia Persatuan Wredatama Republik Indonesia, Lamongan memiliki potensi jatuh sebesar 33.3%. Kesimpulan: Edukasi tentang risiko jatuh menunjukkan adanya perubahan pengetahuan secara signifikan. Kata kunci: interleukin-6, keseimbangan, lansia, otago exercise program, risiko jatuh ____________________________________________________________________________________ Abstract Background: Elderly is the last phase of the human life cycle that begins at the age of 60 years. This phase results in a progressive decline in balance function. Objective: To educate the elderly regarding the risk of falls due to decreased balance function and provide an exercise program to minimize the progressive decline in function. Method: This service methodology adopts a Participatory Action Research (PAR) approach to alleviate health problems through a scientific-based understanding of physiotherapy. The PAR method actively involves or raises critical awareness through mapping, trust-building, action-reflection, and evaluation. Result: The results of the balance check showed that the elderly of Persatuan Wredatama Republik Indonesia, Lamongan had a potential fall of 33.3%. Conclusion: Education about the risk of falling shows a significant change in knowledge. Keywords: interleukin-6, balance, elderly, otago exercise program, fall risk
Designing a QR Code Attendance System Using BYOD (Bring Your Own Device) Djamarullah, Ahmad Raihan; Nuryasin, Ilyas; Wibowo, Hardianto
ULTIMATICS Vol 16 No 1 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i1.3522

Abstract

Attendance is an activity of collecting attendance data from each individual who attends events, work, and learning. The current application of attendance in certain companies, schools, or universities is still done manually using paper so it is considered less efficient and effective. Digitizing attendance activities can provide many benefits, such as making managing large amounts of attendance data easier. This is usually used in companies or schools. To reduce additional costs, this can be done by using a personal device as a medium for taking attendance, this can be called BYOD or Bring Your Own Device. The attendance that will be designed will use the user's smartphone or mobile device as a medium for taking attendance by scanning the QR code. The results of tests carried out using black box testing on mobile and web applications, shows that all the features contained in both applications are running according to their function. The use of QR Codes and also the implementation of BYOD can make it easier for users to take attendance. Apart from this, it is also easier for admins to manage user attendance data.
Implementation of Generative Adversarial Network (GAN) Method for Pneumonia Dataset Augmentation Chandranegara, Didih Rizki; Sari, Zamah; Dewantoro, Muhammad Bagas; Wibowo, Hardianto; Suharso, Wildan
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 2, May 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i2.1675

Abstract

As a communicable disease, the majority of pneumonia cases are brought on by bacteria or viruses, which cause the lungs' alveoli to swell with fluid or mucus. Pneumonia may arise from this and further making breathing challenging since the lungs' air sacs are unable to contain enough oxygen for the body. Pneumonia may generally be diagnosed clinically (by a physician based on physical symptoms) as well as through a photo chest radiograph, CT scan, and MRI. In this case, the lower cost of a chest radiograph examination making it as one of the most popular medical imaging tests. However, chest radiograph photo readings have a disadvantage, where it takes a long time for medical staff or physicians to identify the patient's illness since it is difficult to detect the condition. Therefore, an identification of chest radiograph imagery into various forms using machine learning becomes one way to address this issue. This research focuses on building a deep neural network model using techniques from the Generative Adversarial Network algorithm. GAN is a category of machine learning techniques using two models to be trained simultaneously, one is a generator model to generated fake data and the other is a discriminator model used to separate the raw data from the real data set images. The dataset used is Chest X-Ray images obtained from repo GitHub and repo Kaggle totaling 5,863 with normal data 1583 images and pneumonia data 4273 imagesThe results showed that the use of the Generative Adevrsarial Network method as augmentation data proved to be more effective in improving the generalization of neural networks, this can be seen from the results the result of the accuracy value obtained is 97%.
Classification of Skin Cancer Images Using Convolutional Neural Network with ResNet50 Pre-trained Model Minarno, Agus Eko; Lusianti, Aaliyah; Azhar, Yufis; Wibowo, Hardianto
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2156

Abstract

The skin, an astonishingly expansive organ within the human body, plays a pivotal role in safeguarding us against the environment's harsh elements. It acts as a formidable barrier, shielding our delicate internal systems from the scorching heat of the sun and the harmful effects of relentless exposure to light. Nevertheless, it is not impervious to damage, especially when subjected to excessive sunlight and the potentially hazardous ultraviolet (UV) radiation that accompanies it. Prolonged UV exposure can wreak havoc on our skin cells, potentially setting the stage for the development of skin cancer. This condition demands prompt and accurate diagnosis for effective treatment. To address the pressing need for swift and precise skin cancer diagnosis, cutting-edge technology has come to the fore in the form of deep learning systems. These sophisticated systems have been meticulously designed and trained to classify skin lesions autonomously with remarkable accuracy. The Convolutional Neural Network (CNN) architecture is a formidable choice for handling image classification tasks among the array of deep learning techniques. In a recent breakthrough study, a CNN-based model was meticulously constructed to explicitly classify skin lesions, leveraging the power of a pre-trained ResNet50 architectural model to augment its capabilities. This groundbreaking ResNet50 architecture was meticulously trained to classify seven distinct skin lesions, surpassing the performance of its predecessor, MobileNet. The results achieved in this endeavor are nothing short of impressive. The overall accuracy of the ResNet50 model stands at a commendable 87.42% when tasked with classifying the seven diverse classes within the dataset. Delving further into its proficiency, we find that the Top2 and Top3 accuracy rates soar to an astounding 95.52% and 97.86%, respectively, illustrating the model's exceptional precision and reliability.
UMM metaverse batik as a learning media to introduce nitik batik motifs in the Sonobudoyo Museum Minarno, Agus Eko; Faiz, Ahmad; Wibowo, Hardianto; Akbi, Denar Regata; Munarko, Yuda
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 1 (2025): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i1.81821

Abstract

The exposure of Yogyakarta's Nitik Batik motifs is one of the important efforts to maintain and introduce Indonesia's cultural heritage to the younger generation. In this context, metaverse-based learning media is used as an innovative solution. This research discusses the implementation of metaverse-based learning media with an Extended Reality (XR) approach to introduce the Yogyakarta Nitik Batik motif. This research uses the Game Development Life Cycle (GDLC) development method to design a VR-based Batik museum virtual space, with black box testing and refinement testing to assess functionality and fun aspects. Involving 33 participants from visitors to the Sono Budoyo Batik exhibition in Yogyakarta, this study analyzed the data descriptive quantitative to develop recommendations for improving user experience and introducing Yogyakarta Nitik Batik culture through the metaverse. The test results showed that the virtual space of the Batik Museum passed the functional test without failure and had a feasibility rate of 86.1% in the category of "Excellent." These findings indicate that VR technology effectively introduces and preserves Batik culture, especially as an educational material in virtual media. This metaverse based learning media is anticipated to be an innovative step in introducing Yogyakarta's dotted Batik while offering a valuable immersive experience for users. Future research can be done by adding gamification to increase visitor involvement and optimizing multimedia aspects that have not been the main focus.
Implementation of Enhanced Re-Engineering on Trivia Game to Improve Immersion Adryan Nur, Fathur; Nuryasin, Ilyas; Wibowo, Hardianto
Journal of Games, Game Art, and Gamification Vol. 9 No. 2 (2024)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v9i2.11332

Abstract

Trivia games are one type of educational game that is in great demand and can be used as a medium of entertainment as well as a learning medium. In order to make a game in the same segment more unique and immersion, software re-engineering techniques are used in the trivia game. In re-engineering the trivia game, three methods are used: Enhanced Re-Engineering as a software re-engineering method; Game Development Life Cycle (GDLC) in the development of the Hidden Object Trivia game; and MEEGA+ as a testing method for the trivia game and the Hidden Object Trivia game to determine the increase in immersion value of the two games. The results of re-engineering the Tech Geek Quiz game led to the successful integration of trivia and hidden object genres, resulting in the creation of the Guess The Tech Tool game. The test results using MEEGA+ with 30 respondents showed an increase in immersion values of 50.26% from 1.89 to 2.84 in the usability factor and 30.29% from 2.08 to 2.71 in the player experience factor. The results were taken from all dimensions of the questions that had been asked.
Co-Authors Abims Fardiansa Achmadi, Taufan Reza Adryan Nur, Fathur Agus Eko Minarno Ahmad Faiz, Ahmad Akbi, Denar Regata Ali Akbar Montazeri Andriyani, Vivi Aris Widayati Ashari, Anzilludin Bayu Fajar Pratama BAYU PRASTOWO Chandra Sebastian Chandranegara, Didih Rizki Christian Sri Kusuma Aditya Dani Harmanto Dani Harmanto Daroe Iswatiningsih Dewantoro, Muhammad Bagas Diah Ayu Fitriani Djamarullah, Ahmad Raihan Eko Budi Cahyono Eko Mulyanto Yuniarno Fachrunnisa Firdausi Firdausi, Fachrunnisa Firmansyah, Tino Fitriani, Diah Ayu Hapzi Ali Harmanto, Dani Hazmi Rizky Heni Pujiastuti Jahsy, Ibnu Karyati, Rina Khasanah, Rahayu Nurul L. Yasril Imam Lailatul Huasniah Lailatul Husniah Lubis, Zidni Lusianti, Aaliyah Matahari Bhakti Nendya, Matahari Bhakti Mauridhi Hery Purnomo Mochammad Yusuf Fachroni Moh Ridwan Multohadi Hamzaturrazak Naser Jawas, Naser Norhabibah, Siti Novidianto, Raditya Nuryasin, Ilyas Raditya Novidianto Raffi Ainul Afif Rahayu Nurul Khasanah Rina Karyati Sabrina Nurul Ubay Safun Rahmanto Sari, Zamah Siti Norhabibah Sofyan Arifianto Sumadi, Fauzi Dwi Setiawan Syaifuddin Syaifuddin Taufan Reza Achmadi Tino Firmansyah Ubay, Sabrina Nurul Vitanti, Vizza Dwi Vivi Andriyani Wahyu Andhyka Kusuma Wicaksono, Galih Wasis Wildan Suharso Wildan Suharso Yuda Munarko Yufis Azhar Zamah Sari