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Teguh Susyanto
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INDONESIA
Jurnal Ilmiah Sinus
Published by STMIK Sinar Nusantara Surakarta
ISSN : 16931173     EISSN : 25484028     DOI : http://dx.doi.org/10.30646/sinus
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 306 Documents
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Implementasi Payment Gateway Pada Aplikasi Toko Mebel Menggunakan MERN Stack Hakim, Adya Abdu Azizul; Setiaji, Galet Guntoro; Rifa'i, Ahmad
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.946

Abstract

The advancement of technology in the e-commerce sector has driven traditional stores to transition to digital systems in order to enhance transaction efficiency and product management. Mebel Amanah is a furniture store owned by Mr. Hj. Wahyono, located in Plebean, Batang. Previously, Mebel Amanah only accepted in-person payments, which proved to be less effective, particularly for customers who were unable to visit the store directly. Although bank transfer options were available, the store provided only one bank account number, posing challenges for customers using different banks due to additional administrative fees. To address this issue, an online payment system using Midtrans was implemented, offering various payment methods such as ATM/bank transfer, credit/debit cards, e-wallets, and virtual accounts. The Furniture Store Application also includes a product management feature that displays product names, prices, descriptions, and stock information in real-time. This application was developed using the MERN Stack and follows the Waterfall development model, which includes system requirement analysis, system design, implementation, testing, deployment and maintenance phases. The implementation results demonstrate that integrating the Midtrans payment gateway improves payment flexibility and speeds up transaction processes. Furthermore, the product management feature allows customers to easily check product availability without needing to inquire directly. In conclusion, the furniture store application not only facilitates transaction processes but also supports the digital transformation of furniture business operations.
Pengembangan Aplikasi Berbasis Website untuk Deteksi Hama pada Daun Sawi Menggunakan Metode Deep Learning NASNetMobile dan Model Sequential Pratiwi, Swelandiah Endah; Kholish, Iqbal Nur; Pernadi, Dody; Asnur, Paranita
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.992

Abstract

Green mustard (Brassica rapa var. parachinensis) is one of the important horticultural commodities in Indonesia with high economic value, but its production has declined due to leaf pest attacks such as armyworms, Plutella larvae, and aphids. Manual pest detection, which is time-consuming and prone to errors, poses a major challenge in effective early control. This research aims to develop a pest detection system on mustard greens leaves based on a website using the NASNetMobile deep learning model and sequential architecture, to provide a practical, accurate, and easily accessible solution for farmers. The research method includes the collection of 1000 images of mustard greens from the Kaggle dataset, preprocessing with augmentation and normalization, development of a CNN model with two architectures (NASNetMobile and sequential), evaluation of model performance, and implementation of a Flask-based prototype for web-based testing. The training results show that the best architecture (NASNetMobile + sequential) achieved a validation accuracy of 94% and a validation loss of 0.1160 in 14 seconds of training. Further testing using 50 new images showed an overall detection accuracy of 96%, with 100% accuracy on pest-infected leaves and 92% on pest-free leaves. The conclusion of this research indicates that the web-based detection system using the NASNetMobile and sequential models is effective in supporting pest management on green mustard plants. This system provides easy access, quick response, and high accuracy, although further development with a more diverse dataset and field testing are needed to improve reliability in real conditions across various agricultural environments.
Eksplorasi Algoritme Klasifikasi untuk Analisis Sentimen pada Ulasan Google Review Terhadap Ekowisata Sungai Mudal Pratama, Muhammad Ali; Zakariyah, Muhammad
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.938

Abstract

Mudal River is an ecotourism developed by PT. PLN (Persero) located in Kulon Progo Regency, Special Region of Yogyakarta. As a tourism developer, visitors' impressions can be used as evaluation material to improve tourism facilities and services. This study aims to determine the distribution of positive and negative sentiments from visitor reviews that can be used as support in business decision making. A total of 3,663 data were obtained from Google Review, then pre-processing was carried out to obtain higher quality data. Labeling/annotation uses Large Language Models (chatGPT), while the classification process uses the Stochastic Gradient Descent Method. Model testing uses the K-Fold method to obtain average accuracy, recall, and AUC values. The classification performance results produce an accuracy of 85.5%, with a dominance of positive labels in the annotation results. Meanwhile, the wordcloud results show that words such as water quality, waterfalls, mudal river, and photo spots have positive affirmations. However, several areas are of concern in negative sentiment, especially related to roads and photo spot management, as well as the issue of entrance tickets and the potential for paid photos.
Pengujian Kualitas Aplikasi Mobile Action Bank Aceh Dengan Metode Mccall Bukhari, Fiona; Ilhadi, Veri; Fitria, Rahma
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.957

Abstract

ABSTRACTThe development of information technology encourages banking institutions to provide digital services, such as Mobile Banking applications. Bank Aceh released the Action Mobile application to facilitate practical financial transactions. However, there are stilla number of problems, such as servers often going down,account mutations are not updated, and bugs in the TopUpE-Wallet feature. This study aims to measure the quality of the Action Mobile applicationBank Aceh using the McCall method, which includes five factors: correctness,reliability, efficiency, integrity, and usability.The assessment was carried out through a quantitative approach by distributing a questionnairebased on McCall's indicators to 250 active user students. The data was analyzed using SPSS 24.0. The results show the correctness value of 81.88% (very good), reliability 63.50% (good), efficiency54.83% (quite good), integrity 43.23% (quite good), and usability 62.30% (good). In general the quality of the application is feasible, although the aspects of efficiencyand integrity still need to be improved. These findings are expected to be thebasis for improving Bank Aceh's digital services in the future.
Pengembangan Aplikasi Penerimaan Peserta Didik Baru Berbasis Web Menggunakan Metode Agile Rahman, Taufik; Ramdani, Muhammad Farhan; Kuswanto, Herman
Jurnal Ilmiah SINUS Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v24i1.1005

Abstract

This study aims to develop a web-based New Student Admissions (PPDB) application that simplifies the registration process, improves administrative efficiency, and ensures the accuracy of prospective student data. The development method used is Agile, which allows for iterative system design with user input at every stage of development. Data was collected through application trials with respondents consisting of school staff and prospective students, and analyzed using quantitative and qualitative approaches to assess ease of use, efficiency, and user satisfaction. The results showed that 90% of respondents considered the application to simplify registration, 85% of staff reported reduced administrative time, and 87% of users were satisfied with the available system. The system successfully collected and verified prospective student data with up to 92% accuracy, and generated registration reports quickly and accurately. These findings confirm that the application of Agile methods in the development of a web-based PPDB application is effective in meeting school administrative needs and improving user experience, while providing a basis for the development of similar systems in other educational institutions.
Smart Aquaponics: Iot-Integrated Biofiltration In NFT Systems For Sustainable Food Production Massaty, Muhammad Hassan; Andrian, Dimas Pamilih Epin; Fahrurozi, Slamet Kurniawan
Jurnal Ilmiah SINUS Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v24i1.1008

Abstract

This study presents the design and evaluation of an IoT-enabled aquaponic system based on the Nutrient Film Technique (NFT) with integrated bio-mechanical filtration for sustainable food production. Three configurations were tested: NFT 1 (100 fish with bio-mechanical filtration), NFT 2 (50 fish with bio-mechanical filtration), and NFT 3 (50 fish with mechanical filtration only). Automated monitoring using a NodeMCU microcontroller with pH, TDS, temperature, and water-level sensors enabled real-time data transmission to Thingspeak. Over 30 days, NFT systems with bio-mechanical filtration (NFT 1 and NFT 2) maintained stable water quality (pH 6.0–6.8, TDS within tolerance), whereas NFT 3 showed sharp fluctuations and dissolved solids accumulation (up to 280 ppm). Plant growth (Ipomoea aquatica) was highest in NFT 1 (28.5 cm, 30.0 g), while NFT 3 performed poorest. Tilapia growth was also greatest in NFT 1 (50.3 g), though NFT 2 demonstrated superior feed efficiency. These results underscore the pivotal role of biofiltration in stabilizing water quality, enhancing resource efficiency, and supporting integrated aquaponic productivity in IoT-based systems

Page 31 of 31 | Total Record : 306

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