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PENINGKATAN PENGALAMAN PENGGUNA: PERANCANGAN ANTARMUKA APLIKASI JUWANA DENGAN PENDEKATAN USER CENTERED DESIGN: ENHANCING USER EXPERIENCE: DESIGNING JUWANA APP INTERFACE WITH USER CENTERED DESIGN APPROACHD Surya Saputra, Surya Saputra; Muhammad, Meizano Ardhi; Pratama, Mahendra; Septama, Hery Dian; Martinus, Martinus
BAROMETER Vol 9 No 1 (2024): Barometer
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/barometer.v9i1.9739

Abstract

Fast and stable internet access has become an essential requirement in daily activities. To meet this need, subscribing to internet packages has emerged as a viable solution. Therefore, the development of a user interface (UI) for a mobile application that facilitates internet package subscriptions is crucial. This study aims to design the user interface of a mobile application called Juwana, which allows users to easily purchase internet subscription packages and enhance user satisfaction. The User Centered Design (UCD) method was employed in this research. The UI design of the Juwana application was developed by analyzing user requirements, designing solutions based on those requirements, and conducting usability testing using Maze and the System Usability Scale (SUS). The results of this study present the design of the Juwana application's user interface, consisting of 13 interfaces. Maze testing indicated that all testing scenarios yielded the expected outcomes. The SUS testing results showed that the Juwana application design prototype obtained an average score of 75.7 with a grade scale of C, a Good adjective rating, and fell within the Acceptable category. Based on the findings and discussions of this research, it can be concluded that the user interface design of the Juwana application, developed using the User Centered Design (UCD) method, meets user needs and preferences. The design facilitates the process of purchasing internet subscription packages and enhances user satisfaction.
AUGMENTED REALITY BERBASIS IMAGE MARKER TRACKING UNTUK SISTEM PENGENALAN BUKU DI PERPUSTAKAAN Mardiana; Muhammad, Meizano Ardhi; Septama, Hery Dian; Fitriyani
Jurnal Profesi Insinyur Universitas Lampung Vol. 2 No. 2 (2021)
Publisher : Fakultas Teknik Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.285 KB) | DOI: 10.23960/jpi.v2n2.62

Abstract

Buku merupakan koleksi literatur terbanyak di perpustakaan, sehingga perpustakaan memerlukan sistem katalog yang memuat informasi buku. Sistem katalog di perpustakaan saat ini masih memerlukan usaha agar mudah dipahami pemustaka. Augmented Reality dengan teknologi Image Marker Tracking memungkinkan pemustaka untuk mengetahui informasi buku dengan memindai sampul buku melalui kamera browser pada smartphone. Pengembangan aplikasi menggunakan software ar.js, a-frame, XAMPP, dan metode Kanban sebagai metode pengembangan sistem. Metode Kanban terdiri dari tahap perencanaan, analisis, desain, implementasi, evaluasi, dan pelaporan. Secara keseluruhan, penelitian ini telah menghasilkan aplikasi pengenalan buku AR yang dapat menampilkan informasi buku melalui pemindaian custom marker (image marker dengan black border) yang dapat diakses melalui web browser pada smartphone.
Transforming clinical clerkship processes with integrated information systems Septama, Hery Dian; Hakim, Lukmanul; Muhammad, Meizano Ardhi; Rahmayani, Fidha; Anggraini, Dwi Indria; Lania, Siska; Bestak, Robert
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3036-3044

Abstract

There are still many manual administrative processes involved in clinical clerkships. However, digital technologies and software solutions can significantly improve medical education. This paper aims to utilize extreme programming (XP) as a methodology for developing the information system. A total of 23 user stories have been planned for completion. The priority of each requirement stated in the user stories is determined using the MoSCoW prioritization technique. The results indicate that the software successfully passed all tests among the 23 black box testing scenarios. Developing an integrated information system to streamline clinical clerkships has been successfully achieved. The user experience questionnaire (UEQ) is utilized to gather the perspectives of hospital management and medical faculty members regarding the information system. The average scores for each category are as follows: 1.93 for attractiveness, 2.04 for perspicuity, 2.20 for efficiency, 2.06 for dependability, 2.14 for stimulation, and 1.85 for novelty. Therefore, it can be concluded that all existing user experience scales exhibit an outstanding degree of user satisfaction.
Penilaian Pembayaran Kredit dengan Logistic Regression dan Random Forest pada Home Credit Yulianti, Titin; Cahyana, Amanda Hasna; Komarudin, Muhamad; Mulyani, Yessi; Septama, Hery Dian
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.79-88

Abstract

Global economic development has led to the high complexity of society's needs. Financial institutions are here to provide facilities to meet the increasingly complex needs of society. However, the existence of problem loans can be a serious threat so classification techniques in data mining are used to overcome this problem. This research develops a model that can predict customers' ability to make credit payments so that financial institutions can avoid problematic credit. In this research, the SMOTE resampling technique is used to see the effect of sampling in dealing with class imbalance and conducting credit assessments. The research results show that the model built using SMOTE has better AUC than the model without SMOTE. From the two machine learning algorithms, logistic regression and random forest, the results show that the random forest model with SMOTE has the best performance with an accuracy value of 90%, precision of 92%, recall of 88%, F1-score of 90%, and AUC value of 0.97. Based on the best model, ten important features were obtained that influence the process of assessing credit repayment capabilities, namely the normalized score from external data sources, the period for changing customer numbers, the number of previous installment payments, the customer's age, registration time, the period for applying for credit at the credit bureau, the period for changing identity documents, the time for updating information at the credit bureau, and the length of time the customer has worked. In addition, this research produces visualizations via dashboards that can be used to improve the process of assessing credit repayment capabilities. Keywords: Prediction; Logistic Regression; Random Forest; Credit; Repayment Capabilities.
Transformation of Public Services: Integration of Village Management Information System (SIMANDE) for Improved Public Services Udini, Syariffah Alvitara; Siregar, Erimson; Septama, Hery Dian; Firdaus, Rangga
Journal of Hypermedia & Technology-Enhanced Learning Vol. 1 No. 1 (2023): Journal of Hypermedia & Technology-Enhanced Learning—Digital Frontiers
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v1i1.17

Abstract

The rapid advancements in Information Technology (IT) have significantly impacted the provision of public services, including at the village level. This study focuses on the implementation of the Village Management Information System (SIMANDE) in Mulya Kencana Village, aimed at improving public service efficiency. SIMANDE enables residents to apply for certifications online, eliminating the need for direct visits to the village office. Village administrators also benefit from the efficient dissemination of information. The research employed the Rapid Application Development (RAD) methodology, with MySQL as the database to ensure data security and integrity. The results show highly positive user responses, indicating that SIMANDE significantly improves public service efficiency and accessibility. This study concludes that the integration of SIMANDE is a key step toward digital transformation in village-level public services, providing substantial benefits to both residents and village officials.
Design And Development Of Android Application For Daily Construction Labor Mandor’s With HCD (Human Centered Design) Approach Abdullah, Ahmad; Muhammad, Meizano Ardhi; Pratama, Mahendra; Septama, Hery Dian
Journal of Applied Science, Engineering and Technology Vol. 3 No. 1 (2023): June 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i1.46

Abstract

The construction industry is a development sector in Indonesia with a constantly increasing number of projects annually. In the projects, there is usually a construction manager (or 'mandor', in Indonesian) in charge of coordinating daily laborers and responsible for the construction's progress & financial report. These tasks often had problems, such as bookkeeping or managing construction workers. This research aims to develop an Android application for bookkeeping construction projects as a solution for construction managers to manage personal and non-personal resources. The development of this application uses an HCD (Human Centered Design) approach, which consists of 5 steps: user requirements gathering, problem grouping, designing, developing, and testing. The application is tested using the Blackbox and UAT (User Acceptance Test) method, gaining a 91.03% approval response. The research successfully provides an Android-based application that fulfills the needs of construction managers to work efficiently in managing personal and non-personal resources of the construction project.
Pengembangan Pengenalan Aktivitas Manusia Secara Real Time Menggunakan Metode Convolutional Neural Network dan Deep Gated Recurrent Unit Feren Ade Verilia; Rangga Firdaus; Hery Dian Septama
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 2 No. 2: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v2i2.1351

Abstract

Recurrent neural network (RNN) have achieved great success in processing sequential data and yielded the state-of-the-art results in speech recognition, digital signal processing, video processing, and text data analysis. In this thesis, proposed a human action recognition method by processing the video data using convolutional neural network (CNN) and deep gated recurrent unit (GRU) network. First, features are extracted from frame every multiple of six in the videos to helps reduce the redundancy and complexity. Next, the sequential information among frame features is learnt using deep GRU network, where multiple layers are stacked together to increase its depth. The result of this study achieved 92.01% F1 Score on YouTube 11 Actions dataset. This method achieve 65.43 FPS.
Pembuatan dan Pendampingan SI MBEK: Sistem Informasi Monitoring Pembesaran Kambing di Desa Rukti Endah Yulianti, Titin; Purwiyanti, Sri; Komarudin, Muhamad; Septama, Hery Dian; Sianipar, Yos Marison; Utami, Elika Dwi; Pangestu, Rizki
Journal of Appropriate Technology for Community Services Vol. 6 No. 2 (2025)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol6.iss2.art6

Abstract

Rukti Endah Village is a village that is part of the administrative area of Seputih Raman sub-district, Central Lampung Regency. Rukti Endah Village has enormous livestock potential with a village area of 800 hectares where the majority of people are livestock breeders and farmers. One of the livestock MSMEs in Rukti Endah Village is CV Raman Farm Sejahtera, known as Raman Farm. Raman Farm facilitates livestock groups in the area to develop livestock care businesses called Hotel Ternak. The Hotel Ternak accepts care for livestock by customers to be raised until they are ready to be sold, one of which is goats. The more customers and livestock they entrust, the more difficult it is to manage the development history of each livestock. Apart from that, to expand the business network, customer trust is needed through more professional business management by utilizing information system technology. This activity aims to create an information system for monitoring goat enlargement including the health history of goats which is named the Goat Enlargement Monitoring Information System (SI MBEK) using the Rapid Application Development (RAD) system development method by means of iterative development, providing assistance and management training and use of goat farming information systems and carry out activity evaluations. The method for implementing community service used is Participatory Rural Appraisal (PRA) in which partners actively participate in this activity. The result of this community activity was the construction of SI MBEK. The application of SI MBEK can increase effectiveness in managing livestock hotels for rearing goats. Because it uses the RAD-iterative development model, SI MBEK can continue to be developed into the second version and beyond by adding features according to further needs.
Advancing precision in air quality forecasting through machine learning integration Komarudin, Muhamad; Ratna Sulistiyanti, Sri; Suharso, Suharso; Irsyad, Muhammad; Dian Septama, Hery; Yulianti, Titin; Sophian, Ali; Michel, Michel
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp2113-2122

Abstract

In an era where environmental concerns are escalating, air quality forecasting emerges. Forecasting is a crucial tool for addressing the adverse impacts of pollution on public health and ecosystems. In urban centers like Bandar Lampung, economic activities intensify pollution levels. This condition leveraging advanced machine learning forecasting methods can significantly mitigate these effects. This study evaluates the precision of long short-term memory (LSTM) and Prophet methods in predicting air quality. This study utilizes data from January 12, 2022 to November 9, 2023. The results reveal a distinct advantage of the LSTM method over the Prophet. The LSTM method showcases superior accuracy across all evaluation metrics. Specifically, the LSTM method achieved an average root mean squared error (RMSE) of 5.38, mean absolute error (MAE) of 3.94, and mean absolute percentage error (MAPE) of 0.07. In contrast, the Prophet method recorded higher error rates, with an average RMSE of 18.48, MAE of 15.61, and MAPE of 0.25. These numbers underscore the LSTM method's robustness and reliability in forecasting air quality. The result highlights its potential as a pivotal resource for environmental monitoring and policymaking to safeguard public health and promote sustainable urban development.
Rancang Bangun Aplikasi Game Edukasi Koleksi Permainan Aksara Lampung (Koper Apung) Berbasis Android Menggunakan Metode Scrum Nama, Gigih Forda; Pamungkas, Ayu Dian; Mardiana, Mardiana; Septama, Hery Dian
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 4: Agustus 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4046.659 KB) | DOI: 10.25126/jtiik.2019641096

Abstract

Indonesia merupakan negara yang memiliki keanekaragaman budaya. Salah satu bentuk keragaman budayanya adalah bahasa daerah yang berbeda di setiap wilayah. Bahkan, pada beberapa daerah tertentu memiliki aksara khusus dalam penulisan, salah satunya yaitu aksara Lampung. Ada berbagai macam cara yang biasa dilakukan untuk melestarikan penggunaan aksara dan bahasa daerah, salah satunya dengan memanfaatkan teknologi. Penelitian ini menghasilkan sebuah produk game edukasi belajar bahasa dan aksara Lampung (KOPER APUNG) berbasis android dengan metode scrum dan menggunakan game engine construct 2. Dari 3 kali proses iterasi sprint yang dilakukan, menghasilkan sebuah game edukasi yang sesuai dengan kebutuhan pengguna. Pengujian portability menunjukkan bahwa game dapat berjalan pada perangkat android minimum versi 4.1. Pengujian functionality menunjukkan aset game 100% dapat berjalan baik. User acceptance test dengan melibatkan 25 responden, menunjukkan predikat sangat baik dengan persentase 95,77%. Pengujian efficiency menunjukkan game menggunakan CPU rata-rata sebesar 15% dan RAM 400 MB. Sedangkan pada tahap evaluasi, tingkat kelulusan responden  meningkat  dari  sebelumnya  36 %  menjadi  96%.  Sehingga,  game ini efektif digunakan sebagai salah satu media belajar Aksara Lampung. AbstractIndonesia is a country with various cultures. One of them is that every region has its own local language as its special characteristic. Some local languages have their own local letters, for example is the Lampungnese letters. There are a lot of techniques to conserve the use of local language and its letters, one of them   is   by   implementing   technologies.   This   Koper   Apung   (the   Collection   of Lampungnese Letters Game) Educational Game was created in the form of game application for android based smartphone by using scrum methodology and assisted by Construct 2 Engine. From the sprint result of the scrum methodology, an educational game which adjusted to the needs of the user was established. The result of portability aspect showed that Koper Apung game could work well on the minimally 4.1 version of android appliances. The functionality  test showed that all game assets could satisfactorily 100% work. User Acceptance test indicated, Very good‟ predicate with 95.77% result. The efficiency test denoted that this game used 15% CPU and 400 MB RAM. Meanwhile, on the evaluation phase, the respondents‟ level of success improved from 36% to 96%. These signified that the Koper Apung game is an effective and applicable media to learn Lampungnese Letters.
Co-Authors Adam Hussein Afri Yudamson Ahmad Abdullah Ahmad Arbain Anam, M. Chairul Arbain, Ahmad Ardian Ulvan Ardian Ulvan Ardian Ulvan Ardian Ulvan Bestak, Robert Cahyana, Amanda Hasna Dwi Indria Anggraini Erimson Siregar Febrianti, Sintya Feren Ade Verilia Fitriyani Garin Revanol Geri Romadhoni Tanjung Gigih Forda Nama Gusti, Khalid Surya Hakim, Lukmanul Harahap, Mochammad Mogi Ibrahim Hlavacek, Jiri Irvika Romana Jiri Hlavacek Jiri Hlavacek Khalid Surya Gusti Lania, Siska M Komarudin M Komarudin M Komarudin, M M. Chairul Anam M. Komarudin Mahendra Pratama MARDIANA Mardiana Mardiana Mardiana Mardiana Mardiana Mardiana Maria Ulfa Muthmainah Martinus, Martinus Maulana, Sadam Meizano Ardhi Muhammad Meizano Ardhi Muhammad Meizano Ardhi Muhammad Melvi, Melvi Michel, Michel Mochammad Mogi Ibrahim Harahap Mona Arif Muda Batubara Muda, Mona Arif Muhamad Komarudin Muhamad Komarudin Muhamad Komarudin Muhammad Irsyad Muhammad Komaruddin Muhammad, Meizano Ardhi Mulyani, Yessi Nurhayati Nurhayati Nyoman Herman Ardike oktadiani, Isna P, Rio Ariestia Pamungkas, Ayu Dian Pangestu, Rizki Pramudya, Rivan Herdian Puput Budi Wintoro, Puput Budi R Arum Setiapriadi Raden Arum Setia Priadi Raden Arum Setia Priadi, Raden Arum Rahmayani, Fidha Rangga Firdaus Rangga Firdaus Rani Himayani Ratna Sulistiyanti, Sri Reksa Suhud Tri Atmojo Revanol, Garin Rinaldi, Daniel Rio Ariestia P Rizky Hadi Robert Bestak Robert Bestak Robert Bestak Setyawan, FX Arinto Sianipar, Yos Marison Sintya Febrianti Sophian, Ali Sri Purwiyanti Suharso Suharso Sulistyono, Wahyu Eko Surya Saputra, Surya Saputra Titin Yulianti Trisya Septiana Udini, Syariffah Alvitara Ulvan, Ardian Utami, Elika Dwi Wahyu Eko Sulistiono Wahyu Eko Sulistyono Wicaksono, Muhamad Aby Yuliant, Titin