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All Journal JOIN (Jurnal Online Informatika) Jurnal Informatika INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Journal of Applied Data Sciences Jurnal Mandiri IT International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks)
Anggara, Afwan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering

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APLIKASI PEMESANAN TIKET WISATA PANTAI MENGANTI BERBASIS MOBILE DENGAN INTERGRASI PEMBAYARAN DIGITAL Setyawan, Feri; Anggara, Afwan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4910

Abstract

Menganti Beach, known for its scenery, is one of the popular tourist destinations in Kebumen Regency. Currently, the process of ordering and paying for tourist tickets is still done manually, causing long queues at the counter and hampering operational efficiency. Therefore, a mobile-based tourist ticket ordering application with digital payment integration is expected to help managers in the ticket ordering and payment process to be more efficient in terms of time so as not to cause long queues. Otherwise, the long queues at the counter will continue, resulting in an unpleasant tourist experience and decreased interest in tourist visits, which ultimately has a negative impact on tourist income. To overcome this problem, the study designed and created a mobile-based application that includes ticket ordering, online payment, and ticket checking features. By using the Waterfall method, it is expected that the steps taken include problem analysis, data collection through surveys and interviews, system design, implementation, testing, and application maintenance to ensure all features are functioning properly. Interim results show that this application can help tourism managers improve the efficiency of the booking and payment process time, thereby providing a better experience for visitors.
APLIKASI E-COMMERCE DENGAN PEMANFAATAN TEKNOLOGI AUGMENTED REALITY SEBAGAI GAMBARAN WUJUD SECARA NYATA Nugroho, Faresa; Anggara, Afwan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4919

Abstract

Augmented Reality (AR) has revolutionized the way consumers interact with products online. This technology offers a solution to address uncertainties regarding product size, color, or fit. Through AR features, users can virtually try on products, ranging from clothing and furniture to accessories, enriching the decision-making process. This study aims to evaluate the effectiveness of using AR technology in e-commerce applications on user experience. The research method involves a survey of users who have tried AR features in e-commerce applications, as well as a qualitative analysis of user feedback. The results show that the use of AR significantly enhances user satisfaction, reduces product return rates, and stimulates purchase interest. The implications of this study highlight the importance for e-commerce application developers to integrate AR technology in order to provide a more immersive and personalized shopping experience for consumers
WEBSITE SIMULASI WAWANCARA KERJA INTERAKTIF MENGGUNAKAN METODE NATURAL LANGUAGE PROCESSING Rusiyana, Shafna Imanda Furica; Anggara, Afwan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4920

Abstract

Jumlah pengangguran sebesar 9,77 juta individu di Indonesia pada tahun 2020 menghasilkan tantangan dalam rekrutmen dan wawancara kerja. Banyak kandidat pencari kerja yang gagal karena kurangnya persiapan dan pengetahuan tentang kriteria perusahaan. Persiapan wawancara yang tepat adalah kunci keberhasilan dalam mendapat pekerjaan, tetapi para pencari kerja sering kebingungan bagaimana dan membutuhkan latihan yang efektif. Oleh karena itu, solusi yang tepat untuk membantu persiapan wawancara kerja adalah dengan cara melakukan penerapan sistem simulasi wawancara kerja interaktif yang mampu membantu para pencari kerja untuk mengidentifikasi kesalahan mereka, mendapatkan umpan balik langsung, meningkatkan kesiapan dan kepercayaan diri. Keberhasilan penelitian ini diharapkan mampu membantu calon kandidat secara signifikan dalam menghadapi wawancara kerja sebenarnya dan meningkatkan peluang mereka untuk mendapatkan pekerjaan yang diinginkan.
SISTEM REKAM MEDIS DAN PENDAFTARAN ONLINE BERBASIS WEB DAN ANDROID UNTUK MENINGKATKAN EFISIENSI KLINIK Ghazalba, Zaedar; Anggara, Afwan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4921

Abstract

The development of information technology has driven the digitalization of healthcare services, including registration and medical record systems in clinics. This research aims to design and implement an efficient online registration and medical record system based on web and Android mobile platforms. The system uses REST API technology to connect the online registration application with the clinic's secure database. The development method involves using the Laravel framework for the back-end and Kotlin for the mobile application. The results of this study indicate that the developed system can facilitate patient registration, reduce waiting times, and improve the efficiency of medical record management in clinics. Therefore, this system has the potential to enhance the quality of healthcare services in clinics that adopt it.
CloudPresence: An Innovative Mobile-Based Teacher Attendance Information System with Firebase Integration Pradana, David Maulana Putra; Anggara, Afwan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3130

Abstract

In a dynamic digital era, the efficiency of education management is crucial. This research presents “CloudPresence,” an innovative mobile-based teacher attendance information system that integrates Firebase cloud storage technology and location-based attendance features for SMKN 1 Jatiroto. This system is designed to overcome the limitations of conventional attendance systems, improve accuracy, and ensure the physical presence of teachers at school. The methodology includes requirements analysis, system design with UML, and implementation using mobile technology, Firebase, and location services. Results show significant improvements in attendance accuracy, data management efficiency, and attendance process integrity through location verification. The system offers a comprehensive solution with enhanced data security and real-time accessibility. In conclusion, CloudPresence has the potential to transform school management, drive administrative efficiency, and increase accountability in the education system at SMKN 1 Jatiroto.
Implementation of Android-Based Salon Booking Application for Customer Service Optimization Samudra, Tegar Bayu; Anggara, Afwan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3279

Abstract

Most beauty salons are still using manual system to manage booking and customer, which made queue long, record incorrect and customer frustrated. Purpose of this research is to create an Android based Salon booking application for IKA Salon (which fulfill operational needs) and thus increase service quality and enhance the customer satisfaction. This study is done by use of Research and Development (R&D) model which consists needs analysis followed by design development system testing. We built it using Flutter (the framework) and Firebase for real-time storage and management of data. It offers user registration, login, service scheduling(booking), customer data management etc Key findings show that application can resolve some manual problems like also queuing, scheduling improvement and recording errorless operation. Additionally, the app brings major improvements in operations and client happiness. Serving mobile service booking and management of schedule, customer data in real-time makes the application play an optimising role for a salon and help its growth of business
Aplikasi Sistem Informasi Posyandu pada Desa Plumbun, Indramayu Berbasis Android Persada, Angga; Anggara, Afwan
INFOMATEK Vol 26 No 2 (2024): Desember 2024
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v26i2.19009

Abstract

Sistem informasi adalah sekumpulan prosedur organisasi yang menyediakan informasi untuk mendukung pengambilan keputusan dan pengelolaan data. Studi ini bertujuan untuk mengembangkan sebuah sistem informasi Posyandu berbasis Android yang komprehensif dan user-friendly, bernama SINDU, yang dapat membantu kader dalam proses pencatatan dan pelaporan kegiatan Posyandu di Desa Plumbon, Indramayu. Sebelumnya, Posyandu di Desa Plumbon menggunakan dua aplikasi yang berbeda untuk pencatatan dan pelaporan, sehingga sistem terintegrasi ini diharapkan dapat meningkatkan efisiensi. Metode penelitian yang digunakan adalah wawancara, observasi, dan studi pustaka untuk pengumpulan data terkait kebutuhan pengguna dan sistem. Proses pengembangan perangkat lunak menggunakan metode Scrum, yang mencakup sprint planning, daily stand-up, sprint review, dan sprint retrospective. Hasil penelitian menunjukkan bahwa aplikasi Posyandu berbasis Android ini memudahkan pencatatan data peserta serta rekap laporan, dan telah terbukti user-friendly serta efektif dalam meningkatkan efisiensi kerja kader Posyandu. Kesimpulan nya, sistem informasi Posyandu ini dapat mempermudah proses pencatatan, pengarsipan, dan pelaporan, sehingga memberikan manfaat nyata dalam kegiatan Posyandu di Desa Plumbon.
Osteoporosis Detection Using a Combination of Recursive Feature Elimination and Naive Bayes Classifier with Rule-Based Chatbot Testing Sela, Enny Itje; Rianto, Rianto; Anggara, Afwan; Utami, Wahyu Sri
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.409

Abstract

Osteoporosis is a condition characterized by reduced bone mass and density, increasing the risk of fractures. Early detection relies on patient awareness and proactive health management. Despite advances in technology, patient independence and awareness remain critical for early diagnosis. A rule-based chatbot tool can assist by helping patients screen their bone health. The chatbot provides automated recommendations, offering an alternative to traditional hospital visits. This study presents a rule-based chatbot designed to detect osteoporosis, using Recursive Feature Elimination (RFE) combined with the Naïve Bayes Classifier (NBC). Machine learning is integrated to enhance the chatbot's ability to identify early signs of osteoporosis. The model’s performance is compared to other feature selection methods, such as Principal Component Analysis (PCA), and machine learning algorithms like Deep Learning, Support Vector Machine (SVM), and Logistic Regression. The dataset used includes public data sets for training and validation, as well as data from the Yogyakarta Health Office for predictions. Research phases include normalization, data encoding, feature selection, training, validation, and prediction. The chatbot implements text preprocessing techniques, such as tokenization, stop word removal, and feature extraction, alongside normalization and encoding of numeric data. The prediction stage determines if the patient has a positive or negative osteoporosis status. Validation results show the RFE-NBC model is particularly effective for osteoporosis detection, offering a balanced performance in identifying both positive and negative cases. Additionally, this model served as the foundation for creating a rule-based chatbot designed to detect osteoporosis. Based on the set of testing metrics using chatbot, the model demonstrates strong overall performance, with a good balance between identifying positive and negative instances.
IMPLEMENTASI ANDROID JETPACK COMPOSE PADA APLIKASI MACHINE LEARNING SIJAMUR UNTUK PREDIKSI KONSUMSI JAMUR BERACUN Siregar, Haikal Ferdiansyah; Anggara, Afwan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5853

Abstract

Banyak masyarakat kini mulai sadar pentingnya makan sehat, termasuk memilih bahan makanan yang aman seperti jamur. Produksi jamur pun semakin meningkat dan beragam jenis jamur tersedia di pasaran, sehingga diperlukan cara mudah untuk membedakan jamur yang aman dan beracun. Penelitian ini mengembangkan aplikasi SiJamur dengan menggunakan data jamur dari UCI Machine Learning Repository dan menerapkan algoritma machine learning Support Vector Machine (SVM), Random Forest, dan Decision Tree. Aplikasi ini dikembangkan dengan Jetpack Compose, sebuah fitur pengembangan anatarmuka untuk platform mobile android yang tidak menggunakan XML. Hasil pengujian menunjukkan SVM memberikan akurasi tertinggi sebesar 100%, diikuti oleh Random Forest dengan 98% dan Decision Tree dengan 95%. Aplikasi SiJamur menyediakan fitur prediksi dan informasi mengenai berbagai jenis jamur untuk membantu masyarakat mengenali jamur yang aman dikonsumsi. Penelitian ini juga menunjukkan bahwa kombinasi antara machine learning dan pengembangan mobile dapat memberikan solusi nyata dalam bidang keamanan pangan, khususnya dalam konteks identifikasi organisme liar yang sulit dibedakan secara visual oleh masyarakat awam
Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Widiono, Suyud; Friwaldi, Restian Dwi; Anggara, Afwan
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.25747

Abstract

In an increasingly competitive digital era, manual sales target monitoring often leads to delayed information and inefficiency in decision-making. This research aims to develop a web and mobile-based sales target monitoring system integrated with RESTful API to enhance the efficiency of monitoring the performance of direct sales and sales canvassers. The system is developed using the Laravel framework for the back-end and Flutter for the mobile application, with Agile methodology applied in the development process. Testing is conducted using the Black Box Testing method to ensure the accuracy of system functionalities, including user authentication, sales data management, and sales target monitoring. Additionally, load testing is performed using Apache JMeter with scenarios of 500, 750, and 1000 users. The test results show that the system has stable performance with an average response time of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the threshold of 900 ms. The error rate is recorded at 0.00%, and the system throughput exceeds the set target, indicating the system's reliability in handling simultaneous user requests. The conclusion of this research shows that the implementation of RESTful API in the sales monitoring system can improve operational efficiency, enable real-time data exchange, and support faster, data-driven decision-making. As a recommendation, further development could include broader integration with mobile applications and the implementation of AI-based analytics for sales strategy optimization.
Co-Authors Enny Itje Sela Faatihah, Syaafi'atul Faradillah, Luthfi Nur Fathullah, Ilham Friwaldi, Restian Dwi Ghazalba, Zaedar Irma Handayani, Irma Muhdiyyah, Aisyatul Nugroho, Faresa Persada, Angga Pradana, David Maulana Putra Rianto Rianto Rusiyana, Shafna Imanda Furica Samudra, Tegar Bayu Setyawan, Feri Siregar, Haikal Ferdiansyah Suyud Widiono Umar Zaky Utami, Wahyu Sri Utmawati, Ainur Dwi Zidan, Ahmad Halim Faizal