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All Journal International Journal of Electrical and Computer Engineering International Journal of Advances in Applied Sciences Jurnal Kesehatan Hesti Wira Sakti Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Penelitian Kesehatan Suara Forikes InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Keperawatan Muhammadiyah Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Teknologi Kesehatan International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Masyarakat Bhinneka Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Digital Business Jikom: Jurnal Informatika dan Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi The Journal of Enhanced Studies in Informatics and Computer Applications
Wahyu Tejakusuma, Wahyu
Institut Teknologi, Sains, Dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
Agriculture, Biological Sciences & Forestry Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health

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Perancangan Aplikasi Resep Makanan Pencegah Stunting Menggunakan Metode Design Sprint francisca, khollydayyana mitra; Kusuma, Wahyu Teja; Khudori, Ahsanun Naseh
Jurnal Informatika dan Komputer Vol 15 No 2 (2025): Oktober
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v15i2.290

Abstract

Stunting is a health problem that is still a serious concern in Indonesia because of its impact on child growth. One of the main factors causing it is the lack of nutritional education for mothers and parents. To help overcome this, this study designed a food recipe application to prevent stunting using the design sprint method combined with persona, crazy 8's, and MVP (Minimum Viable Product). This combination of methods was chosen because it allows the application design process to be carried out quickly, and based on user needs. The design of this application aims to provide information about healthy food menus that are in accordance with children's nutritional needs, especially in preventing stunting. The design of the application user interface (prototype) was developed based on mobile using figma as a design tool. The application design was evaluated using the SUS method with a result of 77 which means that this application has a good level of usability with the Adjective Rating "GOOD" included in the grade C category. The results of this study indicate that this application has the potential to help parents, pregnant women in choosing and serving healthier and more nutritious food for children. With this application, it is hoped that the stunting rate in Indonesia can be reduced through easier and more practical access to nutritional information.
PERANCANGAN APLIKASI KEUANGAN PERGURUAN TINGGI MENGGUNAKAN KOMBINASI HCD, PERSONA, DAN MVP Prasetiyo, Bagus Dadang; Kusuma, Wahyu Teja; Anshori, Mochammad
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 1 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i1.4118

Abstract

Lembaga akreditasi perguruan tinggi menuntut pengelolaan keuangan dengan aksesbilitas data dalam sistem informasi yang transparan, akuntabel, dan terintegrasi. Penelitian ini bertujuan untuk mengkombinasikan Persona, dan Minimum Viable Product (MVP) dalam Human Centered Design (HCD) untuk menghasilkan rancangan user interface aplikasi keuangan perguruan tinggi. Penelitian ini melakukan kombinasi Persona dalam HCD untuk mengerti, memahami, dan menggali informasi kebutuhan bagian keuangan ITSK Soepraoen. Kombinasi Persona dalam HCD menghasilkan Persona Goals (PG). Penelitian ini melakukan kombinasi MVP dalam HCD untuk membuat rancangan user interface aplikasi keuangan berdasarkan Persona Goals (PG). Kombinasi MVPdalam HCD menghasilkan rancangan user interface yang dibuat dengan menggunakan Figma. Akhirnya, penelitian ini melakukan evaluasi dengan membandingkan PG dengan hasil MVP. Berdasarkan evaluasi dapat disimpulkan bahwa penelitian ini berkontribusi menghasilkan rancangan user interface aplikasi keuangan perguruan tinggi yang sesuai dengan kebutuhan bagian keuangan ITSK Soepraoen. Selain itu penelitian ini berkontribusi menghasilkan keterbaruan kombinasi metode dalam bidang perancangan user interface
Rancang Bangun Aplikasi Pengukur Kesehatan Fungsi Paru Manusia Memanfaatkan Microphone Pada Smartphone Kusuma, Wahyu Teja; Pramukantoro, Eko Sakti; Djajalaksana, Susanthy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 3 No 2: Juni 2016
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.126 KB) | DOI: 10.25126/jtiik.201632175

Abstract

ABSTRAKPenyakit Paru Obstruktif Kronik (PPOK) adalah penyakit yang ditandai dengan hambatan aliran udara di saluran nafas yang tidak sepenuhnya reversibel. Hambatan aliran udara ini bersifat progresif dan berhubungan degan respon inflamasi paru terhadap partikel gas beracun atau berbahaya [2][16]. Hasil penelitian pada bulan Januari-Desember 2010 menyebutkan bahwa PPOK menduduki urutan ke-3 dari penyakit paru terbanyak yang ada di RS Paru Batu Malang. Sedangkan di  RSU Dr. Saiful Anwar Malang  menduduki urutan ke-5. The Burden Of Disease Study dibawah naungan WHO menyatakan bahwa pada tahun 2030 PPOK akan menempati peringkat ke-3 penyebab kematian di dunia [5][15][16]. Sebagai solusi terhadap masalah tersebut yaitu dengan membangun sebuah aplikasi pengukur kesehatan  fungsi paru manusia memanfaatkan microphone pada smartphone”. Guna mengetahui gangguan ventilasi paru, monitoring pengobatan, dan menilai perkembangan fungsi paru. Media smartphone dipilih karena memiliki teknologi Microphone API yang digunakan untuk menangkap input berupa rekaman suara hembusan napas pengguna. Dan mayoritas masyarakat telah melilikinya. Dari hasil pengujian validasi dapat disimpulkan bahwa aplikasi pengukur kesehatan paru manusia pada media smartphone berhasil diimplementasikan dengan memanfaatkan teknologi microphone. Dari hasil pengujian akurasi yang dilaksanakan di Rumah Sakit Saiful Anwar Kota Malang dapat disimpulkan bahwa ditemukan selisih akurasi Prediksi Nilai Acuan Normal sebesar FEV1 = 0,11 liter; FVC = 0,152432432 liter; FEV1/FVC = 4,742432432 %. Dan selisih akurasi Hasil Pengukuran sebesar FEV1 = -1,545945946 liter; FVC = -2,892432432 liter; FEV1/FVC = 11,52243243 %.Kata Kunci: Penyakit Paru Obstruktif Kronik, Microphone, Smartphone. ABSTRACTChronic Obstructive Pulmonary Disease (COPD) is a disease characterized by air flow resistance in the airway that is not fully reversible. This air flow resistance is progressive and, relating to pulmonary inflammatory response to toxic gases or dangerous particles [2] [16]. The results of the study in January-December 2010 states that COPD ranks 3rd from most existing lung disease Pulmonary Hospital Batu Malang. Meanwhile, in Hospital Dr Saiful Anwar-5 ranks. The Burden Of Disease Study under the auspices of the WHO stated that by 2030 COPD will be ranked as the third leading cause of death in the world [5] [15] [16]. As a solution to these problems is to build an application measuring the health of human lung function utilizing a microphone on a smartphone ". In order to determine pulmonary ventilation disorders, treatment monitoring, and assessing the development of lung function. Media Smartphone Microphone technology chosen because it has an API that is used to capture the input of the user breath sound recordings. And the majority of people have melilikinya. From the results of the validation testing can be concluded that the application of measuring the health of the human lung on a smartphone media successfully implemented by utilizing the microphone. Accuracy of test results conducted at Saiful Anwar Hospital Malang can be concluded that the prediction accuracy differences were found Normal Reference Values for FEV 1 = 0.11 liters; FVC = 0.152432432 liters; FEV 1 / FVC = 4.742432432%. And the difference in the accuracy of measurement results for FEV1 = -1.545945946 liter; FVC = -2.892432432 liter; FEV 1 / FVC = 11.52243243%.Keyword: Chronic Obstructive Pulmonary Disease, Microphone, Smartphone.
Kebaruan Fungsional Vertex Marker Terhadap Marker Based Augmented Reality Tracking Factors (Jarak, Sudut, dan Luas Permukaan) Kusuma, Wahyu Teja; Supianto, Ahmad Afif; Tolle, Herman; Anshori, Mochammad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 4: Agustus 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022945748

Abstract

Fungsional marker adalah yang paling utama mempengaruhi kinerja dari Marker Based Augmented Reality tracking system. Sedangkan vertex marker adalah marker jenis baru yang dihasilkan dari penelitian sebelumnya. Penelitian ini penting untuk dilakukan guna membuktikan fungsional dari vertex marker terhadap faktor-faktor yang mempengaruhi Marker Based Augmented Reality tracking system (jarak, sudut, dan luas permukaan yang tertutupi). Penelitian ini juga membandingkan hasil pengujian fungsional vertex marker dengan single marker. Akhirnya, penelitian ini berkontribusi untuk membuktikan kebaruan dari fungsional vertex marker pada faktor jarak ideal, sudut ideal, dan luas permukaan yang tertutupi dibidang Marker-Based Augmented Reality tracking system. AbstractFunctional of marker is the main thing that affects the performance of the Marker Based Augmented Reality tracking system. This research is important to do to prove the functional of vertex markers against Marker Based Augmented Reality tracking factors (distance, angle, and testing of the surface area covered). This study also compared the results of the functional testing of the vertex marker with the single marker. Finally, this research contributes to proving the novelty of functional vertex markers in the field of Marker-Based Augmented Reality tracking factors.
Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur Haris, M Syauqi; Khudori, Ahsanun Naseh; Kusuma, Wahyu Teja
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976744

Abstract

Stunting atau kasus balita kerdil/pendek adalah salah satu masalah di bidang kesehatan yang saat ini sedang dihadapi oleh masyarakat Indonesia. Provinsi Jawa Timur memiliki nilai prevalensi stunting sebesar 26,8% berdasarkan integrasi data Kementerian Kesehatan dan Badan Pusat Statistik. Nilai tersebut masih tergolong tinggi karena standar minimal yang ditetapkan oleh World Health Organization (WHO) adalah sebesar 20%. Oleh karena itu, penelitian ini bertujuan untuk memberikan kontribusi dalam penyelesaian permasalahan stunting di Provinsi Jawa Timur dengan cara menganalisis faktor-faktor yang diprediksi bisa memengaruhi tingkat prevalensi stunting berdasarkan data sekunder hasil survei dari beberapa lembaga resmi dan terpercaya di bidang kesehatan yang telah dipublikasikan. Supervised machine learning merupakan pendekatan dalam pembuatan kecerdasan buatan (artificial intelligence) yang menggunakan data-data berlabel sebagai data latihnya. Pendekatan ini dirasa sangat sesuai digunakan dalam prediksi nilai prevalensi stunting pada suatu wilayah berdasarkan data-data lain yang relevan.  Penelitian-penelitian sebelumnya tentang prediksi prevalensi stunting rata-rata hanya menggunakan salah satu metode supervised machine learning saja dan data sekunder yang digunakan hanya bersumber dari salah satu sumber survei saja. Hasil penelitian menunjukkan bahwa faktor-faktor penyebab yang memiliki korelasi tinggi terhadap nilai prevalensi stunting bukan hanya Berat Badan Lahir Rendah (BBLR) saja, namun juga Indeks Pembangunan Manusia, sanitasi, dan Indeks Penduduk Miskin. Selain itu, beberapa metode dalam supervised machine learning juga dibandingkan yaitu, linier regression, support vector regression, dan random forest regression.Metode support vector regression dalam penelitian ini memiliki nilai galat yang lebih rendah yaitu 0,91 untuk MAE dan 1,30 untuk MSE.AbstractStunting or the case of stunted/short toddlers is one of the problems in the health sector that is currently being faced by the people of Indonesia. East Java Province has a stunting prevalence value of 26.8% based on data integration from the Ministry of Health and the Central Statistics Agency. This value is still relatively high because the minimum standard set by the World Health Organization (WHO) is 20%. Therefore, this study aims to contribute to solving the stunting problem in East Java Province by analyzing the factors that are predicted to affect the stunting prevalence rate based on published secondary data from surveys from several official and trusted institutions in the health sector. Supervised machine learning is an approach in making artificial intelligence that uses labeled data as training data. This approach is considered very suitable to be used in predicting the value of stunting prevalence in an area based on other relevant data. Previous studies on predicting the prevalence of stunting on average only used one supervised machine learning method and the secondary data used was only sourced from one survey source. The results showed that the causative factors that have a high correlation to the prevalence of stunting are not only low birth weight (BBLR), but also the Human Development Index, sanitation, and the Poor Population Index. In addition, several methods in supervised machine learning are also compared, namely, linear regression, support vector regression, and random forest regression. The support vector regression method in this study has a lower error value, namely 0.91 for MAE and 1.30 for MSE.
Peningkatan Literasi Teknologi Pemasaran Digital Petani Kopi Gapoktan Mekar Tani Desa Jambuwer Kecamatan Kromengan Kabupaten Malang Haris, M Syauqi; Kusuma, Wahyu Teja; Anshori, Mochammad
Jurnal Pengabdian Masyarakat Bhinneka Vol. 1 No. 2 (2022): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v1i2.31

Abstract

Produk Kopi Merah hasil perkebunan kopi di Desa Jambuwer, Kecamatan Kromengan, Kabupaten Malang, adalah produk unggulan para petani kopi yang tergabung dalam Gabungan Kelompok Tani (Gapoktan) Mekartani. Meskipun produk kopi tersebut tergolong unggul, terbukti dengan pernah diraihnya juara III dalam Festival Kopi Nusantara tahun 2016 di Kota Batu, namun masih belum banyak dikenal oleh masyarakat sehingga penjualannya pun terhambat. Sampai dengan saat ini, kopi Malang yang dikenal masyarakat pada umumnya hanya dari daerah Dampit dan Ampelgading saja. Pemanfaatan teknologi informasi dan jaringan internet dengan strategi pemasaran yang disebut dengan digital marketing diharapkan mampu membawa produk kopi merah Jambuwer agar lebih dikenal masyarakat luas di Indonesia pada umumnya dan warga Malang dan sekitarnya pada khususnya. Meskipun saat ini pemanfaatan media online dan media sosial sudah dilakukan, namun hasil yang diperoleh belum maksimal. Hal ini disebabkan karena penggunaan media sosial dan alat promosi online yang digunakan masih belum terkonsep dengan baik dan belum menggunakan strategi pemasaran digital yang terstruktur. Oleh karena itu, melalui kegiatan Pengabdian Kepada Masyarakat ini, diharapkan para petani yang tergabung dalam Gapoktan Mekar Tani memiliki mindset pemasaran digital sehingga peningkatan popularitas dan penjualan Kopi Merah Jambuwer bisa terwujud. Media sosial dan blog akan menjadi representasi online dari etalase toko Kopi Merah serta dapat terindeks dengan baik di berbagai situs pencarian. Adapun target luaran dalam kegiatan pengabmas ini adalah peningkatan literasi pemasaran online mitra dalam hal analisis kata kunci dalam Search Engine Optimization (SEO), pembuatan konten berupa gambar maupun video yang sesuai dengan strategi brand, optimalisasi media sosial dan marketplace, serta Google Business Profile.
Convolutional neural network model for fingerprint-based gender classification using original and degraded images Pradini, Risqy Siwi; Kusuma, Wahyu Teja; Budi, Agung Setia
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1350-1358

Abstract

Fingerprint-based gender classification is a crucial component of soft biometrics, providing valuable additional information to narrow the search space in forensic investigations and large-scale identification systems. Although deep learning models, particularly convolutional neural networks (CNNs), have demonstrated significant potential, performance validation is typically performed on high-quality fingerprint images. This creates a gap between laboratory results and real-world applications, where fingerprint evidence is often found in a degraded state, such as smudged, distorted, or partially damaged. This study attempts to bridge this gap by proposing a more realistic training approach. We design a lightweight and computationally efficient CNN and train it on a comprehensive combined dataset. The main contribution of this study lies in the data training strategy, which explicitly combines real and synthetically modified fingerprint images from the Sokoto coventry fingerprint (SOCOFing) dataset into a single, unified training set. Experimental results show that the proposed model achieves very high classification accuracy (97.39%) on a test set that also includes a combination of original and degraded images. This finding not only confirms the effectiveness of diverse data-based training to produce more robust models but also establishes a new benchmark for fingerprint based gender classification research under conditions more representative of practical scenarios.
Usability Evaluation of the Railfood Feature in the Access by KAI Application Using System Usability Scale Method and Factor Analysis Farah Aulia Nisa; Ahsanun Naseh Khudori; Wahyu Teja Kusuma
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4361

Abstract

This study assesses the Railfood feature in the Access by KAI application through System Usability Scale (SUS) methodology and factor analysis. Railfood allows train passengers to order meals online during travel, representing PT Kereta Api Indonesia's move toward digital service integration. Quantitative data from 400 users who accessed the feature within three years revealed a SUS score of 73.5 (Grade C), indicating moderate performance. Satisfaction ranked highest among measured factors, suggesting users found the interface approachable, while efficiency scored lowest due to the initial learning requirements. The gap between these factors points to specific improvement areas: simplifying navigation paths, adding visual cues, and implementing brief tutorials. Such adjustments would likely reduce user adaptation time while maintaining the satisfaction already achieved. The research offers practical value for mobile service development in transportation settings where users operate under time constraints and varying connectivity conditions. Results demonstrate how targeted usability evaluation can identify actionable refinements in transit-based digital services.
An Analysis of Digital Queuing Systems in Indonesian Banking Services: A Systematic Literature Review Carrina A. Tesa; M. Syauqi Haris; Wahyu Teja Kusuma
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4379

Abstract

Queue systems play pivotal roles in banking services, affecting both operational effectiveness and client satisfaction. The issue of long waiting times and unequal distribution of services across all regions of Indonesia remains a significant issue. Using the PRISMA methodology to perform a systematic literature review (SLR), this research investigates the last 5 years of 25 digital queue management academic works. The selection process to narrow this down began with the Sinta and Garuda databases, although more from Scopus were used to validate the research. The research indicates that identified technologies, such as online queue systems, self-service kiosks, and reservation systems, can improve customer satisfaction and experience by greatly decreasing waiting times. However, the majority of the observations are based on theoretical models or narrow case studies, leading to doubts regarding the generalizability of their findings. The effectiveness of the solutions proposed is highly dependent on the region's infrastructure as well as the users' capacity to utilize the available technology. The integration of queue theory and process simulation provides a foundational approach to the design of systems with improved efficiency. However, there are still significant obstacles to overcome: deficient digital infrastructure, low levels of technological literacy, and poorly integrated systems. Sufficient, systematic responses are required to these issues, as well as more localized systematic studies, to improve queue management systems in the context of the Indonesian banking sector.
Co-Authors Achmad, Fariz Agung Hadi Endaryanto Agung Setia Budi, Agung Setia Agus Purnomo Rijal Kurniawan Ahmad Afif Supianto Ahmad Afif Supianto Ahsanun Naseh Khudori Ahsanun Naseh Khudori Ainun, Nurul Andy Setyawan Anwar, David Saiful Bagus Prasetyo Abdi , Benben Baskoro, Danang Bagus Binarti Widyanti Binti Karimatun Nikmah Carrina A. Tesa Choirunnisa, Rosyida Dadang Prasetiyo, Bagus Devi Ayu Trisnaningrum Dio Putra Mahardhika Djajalaksana, Susanthy Dyah Utami, Kartika Eko Sakti Pramukantoro, Eko Sakti Emi Aprilyanti Farah Aulia Nisa Faurika Febriantama, Mohammad Dhany francisca, khollydayyana mitra Hargiani, Fransisca Xaveria Henokh Kristiawan Heri Wahyu Wibowo Herman Tolle Javier Fajri Zachary Lili Octaviani Lola Novira Risdiyanti M. Syauqi Haris M. Syauqi Haris Mochamad Anshori Nindynar Rikatsih Nindynar Rikatsih Novianto Agus Prabowo Nugroho Teguh Yuono Nurul Halimah Pitunas, Hery Pradini, Risqy Siwi Pradita, Angria Prasetiyo, Bagus Dadang Provisa Redy Fernando Putrinugroho, Ivana Aikozora Retno Widaningrum Rikatsih, Nindynar Risa Puspita Sari Risqy Siwi Pradini Sartoyo Savril Daffa Geraldo, Jeffana Setiawan Edi Kriswanto Shaktyanti, Frenchyani Anggi Silvia Intan Wardani Siwi Pradini, Risqy Sri Lestari Wati Supatmi, Eny Usfania Fernanti Vincentia Kristanti Wibowo, Heri Wahyu Wirpan Atmaja Putra Yuono, Nugroho Teguh