STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Subjects Area : Computing and Informatics, Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematical, Physics (Classical and modern)
Perancangan Framework Vibe Coding yang Bertanggung Jawab dalam Pengembangan Perangkat Lunak
The advancement of large language models (LLM) has given rise to vibe coding, a prompt-based programming paradigm that enhances productivity but introduces serious risks including reduced code comprehension, low maintainability, accumulation of technical debt, and application security vulnerabilities. This research aims to design a Responsible Vibe Coding Framework that integrates software engineering principles (SOLID), computational thinking, human-AI collaboration, and secure, maintainable software development practices. Employing a qualitative-conceptual approach through systematic literature review of publications from 2015-2025, the study identifies the phenomenon, analyzes supporting theories, and synthesizes a framework comprising five core components: Input Layer (intent specification), AI Assistance Layer (LLM code generation), Human Oversight Layer (human verification), Engineering Guardrails Layer (automated testing and security scanning), and Output Layer (production-ready code). The framework ensures human-centered decision-making, integrated software engineering discipline, and transparency with accountability, comprehensively addressing vibe coding challenges while maintaining code quality, security, and comprehension in educational and industrial contexts.
Copyright (c) 2026 Eko Harli, Ahmad Fauzi, Tria Hadi Kusmanto (Author) https://creativecommons.org/licenses/by/4.0
Implementasi Simple Moving Average dan Rank Order Centroid–Weighted Moving Average untuk Peramalan Produksi Keripik Tempe UMKM X
This study aims to forecast the production demand of tempeh chips at MSME X in Kubu Raya Regency, West Kalimantan. Forecasting was conducted using the Simple Moving Average (SMA) and Weighted Moving Average (WMA) methods with data periods (n) of 3 and 6 months. In the WMA method, weights were determined using the Rank Order Centroid (ROC) approach. The analyzed data consisted of tempeh chip production demand from December 2023 to November 2024, and the forecasting calculations were performed using Microsoft Excel. The accuracy of the forecasting results was evaluated using the Mean Absolute Deviation (MAD) metric. The results showed that the lowest MAD value was obtained using the WMA method with n = 6 (8.91), followed by SMA with n = 6 (10.94), SMA with n = 3 (17.78), and WMA with n = 3 (18.37). These findings indicate that the longer the historical data period used, the better the forecasting accuracy. Moreover, the application of ROC weighting in the WMA method enables predictions to be more responsive to actual trend changes. Based on these results, MSME X is recommended to adopt the WMA method with n = 6 for forecasting tempeh chip production demand.
Copyright (c) 2026 Sariati, Borneo Satria Pratama, Veni Sepriana, Asti Ariati, Febrian Harijal, Ristanto Dwi Nurcahyo, Muhammad Dwi Yoga R., Palentino Desember (Author) https://creativecommons.org/licenses/by/4.0
Pengaruh Kejenuhan Proyek Subtype Terhadap Kinerja Pegawai Magang: Studi Kasus di PT X
PT X is company develops a food search application, with one of its main initiatives being the Subtype Project. The project aims to categorize thousands of merchants based on the type of food they offer to enhance the accuracy of the search feature. In its execution, interns in the Operations Department play a vital role but often experience burnout due to the repetitive nature of their tasks. This study aims to examine the relationship between job burnout, age, and length of employment on intern performance using multiple linear regression analysis. A quantitative approach was employed to assess the associations among variables statistically. The results indicate that job burnout (X1) has a significant influence on performance (Y), as shown by its significance value of <!-- [if gte msEquation 12]><m:oMath><m:r>0.000 < 0.05</m:r></m:oMath><![endif]--> <span style="font-size: 12.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; position: relative; top: 2.5pt; mso-text-raise: -2.5pt; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"> . In contrast, age (X2) with a significance value of <!-- [if gte msEquation 12]><m:oMath><m:r>0.374 > 0.05</m:r></m:oMath><![endif]--> <span style="font-size: 12.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; position: relative; top: 2.5pt; mso-text-raise: -2.5pt; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"> , and length of employment (X3) with a significance value of <!-- [if gte msEquation 12]><m:oMath><m:r>0.557 > 0.05</m:r></m:oMath><![endif]--> <span style="font-size: 12.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; position: relative; top: 2.5pt; mso-text-raise: -2.5pt; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"> , are not found to have a significant effect on performance (Y). The study concludes that monotonous tasks can reduce work effectiveness, suggesting that the company should design appropriate human resource management strategies to reduce burnout and maintain productivity, particularly in repetitive projects such as the Subtype Project.
Copyright (c) 2026 Ghema Rivana, Risma Fitriani (Author) https://creativecommons.org/licenses/by/4.0
Rancang Bangun Sistem Informasi Reservasi Ruang Kegiatan Mahasiswa dengan Pemodelan UML
The development of information technology encourages the utilization of web-based systems to improve efficiency in managing information and services. One of its applications is in the reservation system for student activity spaces, which aims to facilitate the booking process and the management of space usage schedules. Previously, the reservation process was carried out manually, making it difficult for users to obtain information about schedule availability and increasing the risk of recording errors. Therefore, this study aims to design and develop a web-based information system for reserving student activity spaces. The system development method used in this study is the System Development Life Cycle (SDLC), which includes the stages of planning, requirements analysis, system design, implementation, and testing. The system design was modeled using Unified Modeling Language (UML), while system testing was conducted using the blackbox testing method. The results show that the developed system is able to provide information on space schedule availability, facilitate the reservation process, and manage booking history in a structured manner, thereby making the reservation process more effective and organized.
Copyright (c) 2026 Chika Putri Pratama, Apriade Voutama (Author) https://creativecommons.org/licenses/by/4.0
Inovasi Alat Pakan Otomatis Berbasis IoT Untuk Monitoring dengan Metode Evaluasi Akurasi RMSE
The development of IoT based automatic chicken feeding device supports efficiency and productivity for poultry farmers. This system is designed using an ESP32 micro-controller integrated with a DHT22 sensor to detect temperature and humidity. It is controlled via a Telegram application and a website, enabling real-time monitoring of data and system status. The research employed a field experimental method by observing the performance of the device in both automatic and manual modes. Additionally, sensor readings were compared with a thermohygrometer to calculate the system’s measurement error. The results show that the system effectively monitors temperature, humidity, and feeding schedules, with a Root Mean Square Error (RMSE) of 1.09°C for temperature and 2.27% RH for humidity. The reliability of the system was analyzed using Standard Deviation (SD), resulting in a temperature SD of 1.61°C and a humidity SD of 4.31% RH. According to the DHT22 data sheet, the tolerance range for accuracy is ±0.5°C for temperature and 2–5% RH for humidity. This automation system successfully performs real-time monitoring, supports both automatic and manual control, and sends notifications via the Telegram platform, with an average response delay of 2.5 seconds. The study demonstrates that the implementation of IoT in the poultry farming sector can significantly improve the efficiency and effectiveness of digital feed management systems.
Copyright (c) 2026 Alberta Yudea Hani Santoso, Maun Budiyanto (Author) https://creativecommons.org/licenses/by/4.0
Analisis Pola Pembelian Pelanggan Menggunakan Algoritma Apriori untuk Strategi Promosi
This research was conducted at a cafe located in South Tangerang City. Although the cafe is quite popular, its promotional strategy management is still carried out conventionally and has not optimally utilized the available transaction data. This results in the determination of promotional packages often missing the target and failing to reflect customer preferences accurately. This research applies data mining techniques using the Apriori algorithm to extract hidden purchasing patterns from transaction data. The research utilized Altair AI Studio software with a large-scale dataset consisting of 27,251 transactions from the period of January to May 2025. The research integrated a pre-processing stage in Microsoft Excel with automatic binary transformation to obtain more precise association rules. The analysis process, using a minimum support of 1% and a minimum confidence of 10%, successfully identified significant purchasing patterns. The main findings reveal a very strong association between the purchase of Nasi Goreng Seafood and Air Mineral, with the highest lift ratio of 2.698 and a confidence value of 35.7%. In addition, patterns of association were found between snack menus (French Fries) and certain coffee variants that showed a positive correlation (lift > 1).
Copyright (c) 2026 zulfikar reza pahlevi, Wiwin Winarti, S.Si., M.Kom. (Author) https://creativecommons.org/licenses/by/4.0
Kendali Paparan UVB Berbasis Arduino untuk Aplikasi Laboratorium
Ultraviolet type B (UVB) radiation has been widely utilized in laboratory research applications. This research develops an Arduino Nano-based UVB radiation control system using 310 nm LED as the radiation source. The system is designed to provide precise and controlled exposure dosage through a user interface with a 16x2 LCD display and push buttons. Electronic circuits include LED driver, power control relay, notification buzzer, and integrated power supply in a portable casing. The device can adjust the dosage in mili Joule units with inter-LED spacing of 5 cm and irradiance of 0.2 mW/cm². Functionality testing shows that the system successfully controls exposure time according to the desired dosage with accuracy of 96-97%. This research results in a portable and efficient UVB chamber tool that is easy to use and can be applied in laboratories
Copyright (c) 2026 Muhamad Nurus Syaifullah (Author) https://creativecommons.org/licenses/by/4.0
Model Prediksi Harga Bitcoin Menggunakan Algoritma SBI-GRU dan SBI-LSTM
The main issue in this study is the high volatility of bitcoin prices. Based on our observations, we found that bitcoin price volatility ranges from 35% to 85%, making bitcoin investments quite risky. Therefore, the purpose of this study is to create a bitcoin price prediction model that can follow this volatility pattern. We created a neural network (NN)-based Bitcoin price prediction model using the Stacked-Bidirectional Gated Recurrent Unit (SBI-GRU) and Stacked-Bidirectional Long Short-Term Memory (SBI-LSTM) algorithms. Both algorithms are suitable and have been proven capable of predicting Bitcoin prices. Furthermore, we also used hyperparameter tuning to improve the accuracy of this prediction model. The tuning parameters used were epoch, batch size, and optimizer. Our research results show that this prediction model is capable of predicting bitcoin prices and their volatility patterns. The benchmarks are as follows: the SBI-GRU model has a MAPE value of 0.0254 and a correlation coefficient of 0.9975. Meanwhile, the SBI-LSTM model has a MAPE value of 0.0333 and a correlation coefficient of 0.9963. The interpretation of these results is that both prediction models, using the SBI-GRU and SBI-LSTM methods, are able to predict bitcoin prices very well. A MAPE value of less than 0.05 makes the prediction model accurate, while a correlation coefficient of 0.99 means that the model is able to follow the volatility pattern.
Copyright (c) 2026 Aryajaya Alamsyah (Author) https://creativecommons.org/licenses/by/4.0
Evaluasi Kinerja File Carving Berbasis NIST pada Media Flashdisk Menggunakan Autopsy, Recuva, dan PhotoRec
This study aims to analyze the performance of file carving software in digital forensic investigations using the National Institute of Standards and Technology (NIST) methodology. The NIST framework is applied due to its systematic and well-structured stages, namely Collection, Examination, Analysis, and Reporting, which support reliable digital forensic processes. A flash drive was used as digital evidence and examined using three file carving tools: Autopsy, Recuva, and PhotoRec. Two testing scenarios were conducted, including file deletion and quick format. The evaluation parameters consisted of processing speed, the number of recovered files, and file integrity based on MD5 hash value matching.The results show that in the deletion scenario, all software tools successfully recovered the test files with 100% accuracy, while Recuva demonstrated the fastest recovery time. In the quick format scenario, Autopsy was unable to perform file carving, whereas Recuva and PhotoRec successfully recovered data. PhotoRec outperformed Recuva in terms of processing speed and recovery accuracy based on MD5 hash verification. These findings indicate that the effectiveness of file carving tools depends on the case scenario rather than a single superior tool. Therefore, selecting an appropriate digital forensic tool is essential to ensure accurate and effective file carving investigations.
Copyright (c) 2026 Rizky Dwitama, Angelo Risang Kadisi, Renita Tri, Sefti Nabila, Susanto (Author) https://creativecommons.org/licenses/by/4.0
Analisis Pemulihan File Terhapus Permanen Menggunakan Disk Drill pada Media Penyimpanan USB
Data loss due to human error or malware attacks is a serious obstacle in the use of digital storage media. The main problem is the assumption that permanent deletion completely erases the data, even though the data is still physically retained on the storage media because the operating system only deletes the metadata pointer. This study applies a digital forensic approach through the Deep Scan feature in Disk Drill software, which integrates metadata scan and file carving techniques. The dataset used in this test is a 32 GB USB Flashdisk containing eight different file format variants (such as DOCX, PDF, and JPG) that have been permanently deleted. The test results show a 100% recovery success rate, where all test files were successfully found and restored in an intact condition (integrity maintained). This study contributes by empirical validation of the reliability of the file carving technique in recognizing file signatures, so that it can be a practical reference in digital forensic investigation procedures and self-service data recovery.
Copyright (c) 2026 Azmi Maulana Firdaus, Nanda Dwi Kurniawan, Fausta Rizky Abriansah, Daffa Nurin Nabil Ma’arif, Susanto (Author) https://creativecommons.org/licenses/by/4.0
Perencanaan Kapasitas Produksi untuk Meningkatkan Efisiensi Produk Peter Kigumi di PT XYZ
The research was conducted at PT XYZ with the aim of improving production efficiency on Peter Kigumi's garment line through capacity planning. The main problem found was a gap between production targets and actual capacity, which caused bottlenecks at several workstations such as hand rib panel sewing, neck overlays, neck stitches, and waistband stitches. The research method uses a time study to measure cycle time, Seven Waste analysis to identify activities that are not value-added, and Fishbone Diagram to find out the root cause of inefficiency. The results of the study show that the main causes of inefficiency are suboptimal operator skills, the absence of standard work procedures, and the lack of utilization of auxiliary equipment. Improvements were made with a Kaizen approach in the form of operator training, technical assistance, and the application of jigs as work aids. Comparison of conditions before and after the repair shows an increase in production capacity quantitatively, where the capacity at the bottleneck station has increased, such as the process of sewing hand rib panels from 97 units/hour to close to the target of 126 units/hour, neck overhead from 94 units/hour, neck stitch from 112 units/hour, and waistband stitch from 84 units/hour which previously had the largest difference, So that there is a significant reduction in capacity gaps at almost all bottleneck stations. The integration of time study and Kaizen methods has proven to be effective in increasing efficiency and productivity in a sustainable manner in the garment industry.
Copyright (c) 2026 Wili Mulyana, Sukanta (Author) https://creativecommons.org/licenses/by/4.0
Transformasi Pemasaran UMKM Bakpia Melalui Analisis Data Mining
The micro, small, and medium enterprises (MSMEs) sector is critical to Indonesia's economy. Especially the food and beverage industry is one of the sectors that is relied on and has rapid growth. Although, business competition is getting tighter for MSMEs today, there needs to be a marketing strategy to improve business. This study aims to optimize marketing strategies in food and beverage MSMEs using data mining method integration, with a case study of MSME Bakpia Tugu. To optimize business improvement, this study integrates data mining methods: Analytical Hierarchy Process (AHP), Association Rules-Market Basket Analysis (AR-MBA), Clustering, and Classification. Data collection in this study used a questionnaire method from 150 respondents for AR-MBA data mining, clustering, and classification, and an expert interview method was used for AHP analysis. The research results get marketing strategy priorities from the results of the AHP analysis, namely through digital marketing strategies, identifying consumer purchasing patterns based on the relationship between items purchased from the results of AR-MBA, grouping customers based on characteristic proximity (Clustering) producing three customer segments that can be optimized for relevant promotional approaches, and Classification to predict customer arrival pattern behaviour. This research can be implemented to improve the food and beverage MSME business in an increasingly competitive market.
Copyright (c) 2025 Yanti Bima Wati, Andi Nurulyunisa Permata Sari Pettalolo, Dwi Adi Purnama (Author) https://creativecommons.org/licenses/by/4.0
Sistem Pendukung Keputusan Penentuan Penerima Beasiswa di SMA Uswatun Hasanah dengan Metode SAW
This study aims to design a Decision Support System (DSS) for determining scholarship recipients at SMA Uswatun Hasanah using the Simple Additive Weighting (SAW) method. The scholarship selection process at the school has previously been conducted manually, which is time-consuming and prone to subjectivity. The proposed system is desktop-based with integrated database support, enabling objective and transparent data processing. The selection criteria include average report card scores, non-academic achievements, extracurricular participation, number of dependents, and parents’ income. The implementation results indicate that the SAW method can accurately generate the ranking of scholarship candidates, thereby improving efficiency, reducing errors, and enhancing fairness in decision-making. This research is expected to serve as a model for implementing DSS in other schools facing similar challenges.
Copyright (c) 2025 Ahmad Fauzi, Khoirunnisa, Lia Susanti (Author) https://creativecommons.org/licenses/by/4.0
Analisis Kesiapan Tim dalam Mengadopsi Software Craftsmanship: Studi Kasus Pengembangan Aplikasi Rapor Online
This study assesses the readiness of a small-scale development team to implement software craftsmanship in the development of an online report card application for early childhood education, utilizing the Extreme Programming (XP) method. This approach was chosen to overcome the quality limitations that often arise in agile-based development. The development process was carried out through two XP iterations with eleven (11) user stories. The results of the study indicate that only some practices, such as standard coding and test-driven development in some functions, can be implemented. Meanwhile, pair programming has not been running optimally. The main finding of this study is that team readiness is a key factor in the successful implementation of software craftsmanship. The contribution of this study lies in the development of an evaluation framework for team readiness in adopting software craftsmanship, especially in the context of software development by small teams in an educational environment.
Copyright (c) 2025 Ahmadi, Arie Surachman, Alpi Mahisha Nugraha (Author) https://creativecommons.org/licenses/by/4.0
Peningkatan Akurasi Klasifikasi Digit melalui Modifikasi CNN dengan Batch Normalization, Dropout, dan Data Augmentation
Digit image classification is a fundamental task in pattern recognition and computer vision. This study aims to improve the performance of a baseline Convolutional Neural Network (CNN) by applying several architectural modifications, including data augmentation, batch normalization, dropout, and deeper convolutional layers. The digit dataset was divided into training and validation sets with an 80:20 ratio. Augmentation techniques such as random rotation, translation, and zoom were applied to enhance data variability and reduce overfitting. Batch normalization was used to stabilize training, while dropout served as a regularization method to prevent overfitting in dense layers. Experimental results demonstrate that the modified CNN achieved high validation accuracy and produced a confusion matrix indicating consistent classification across all digit classes. These findings suggest that enhancing a simple CNN architecture can significantly improve performance without requiring complex transfer learning approaches. This method is suitable for small to medium-scale image classification tasks.
Copyright (c) 2026 Aldrey Diriyah, Khalida Zia Qinthara, Ajeng Windi Setianingsih, Yemima Perangin-Angin, I Gde Eka Dirgayussa (Author) https://creativecommons.org/licenses/by/4.0
Analisis Performa Penjualan Elektronik Menggunakan Metode RFM dan Neural Network (Studi Kasus PT. Makmur Sumber Redjeki)
The development of information technology and increasing business competition require companies to effectively analyze historical sales data to understand customer behavior and improve marketing strategies. This study aims to analyze the electronic sales performance of PT. Makmur Sumber Redjeki by combining the Recency, Frequency, Monetary (RFM) method and a Neural Network model. The RFM method is used to group customers based on the last transaction time, purchase frequency, and transaction value, while the Neural Network model is used to more accurately classify customers into loyal, potential, and at-risk churn categories. The research data consists of customer sales transactions over a one-year period, processed using a supervised learning approach. The analysis stages include data normalization, customer segmentation using RFM, and training a Neural Network model using RFM features as input. The results of the study show that the integration of the RFM method with Risk 38.5%, Loyal 30.8% and Potential 30.8% and Neural Network is able to increase the accuracy of 75% in identifying strategic customer groups and producing useful insights in supporting data-based marketing decision making.
Copyright (c) 2026 Khanes Setiyo Aji, Dr. Winarni, S.T., M.T.I., Dr. Achmad Hindasyah, S.Si., M.Si (Author) https://creativecommons.org/licenses/by/4.0
Pengembangan Sistem Konsultasi Statistik Digital (Studi Kasus di BPS Bangka Belitung)
Statistical consulting services at the Central Statistics Agency (BPS) of Bangka Belitung Islands Province still face efficiency challenges due to manual processes, making it difficult for users and consultants to interact. This study aims to design and develop a web-based digital consulting system to improve service effectiveness, as well as evaluate the functionality of AI chatbot features and accessibility for users with visual impairments. The development method used is the prototype method, with requirements gathered through interviews and observations. System testing was conducted using Black Box Testing for functionality and User Acceptance Testing (UAT) for user validation. The result of this research is a functional digital consultation system, where Black Box testing results show that all features are functioning properly. UAT results indicate that the system is highly accepted by users, with average scores for system functionality (77.7%), system performance (80.7%), user interface experience (82.9%), and efficiency (82.75%). Additionally, the accessibility feature for visual impairments was also rated as highly effective with a score of 82.76%. Thus, the developed system has proven to be feasible and effective for implementation as a solution to simplify and optimize consultation services at the BPS of the Bangka Belitung Islands Province.
Copyright (c) 2025 Ova Eryandri, Yang Agita Rindri, Bradika Alamandin Wisesa (Author) https://creativecommons.org/licenses/by/4.0
Optimasi Performa API Aplikasi E-Commerce Menggunakan Redis Caching
System performance is one of the important factors in the development of e-commerce applications that serve thousands of data requests every second. High intensity of user requests often leads to an overload of queries on the database, which has an impact on increased response times and decreased user experience. One of the effective solutions to overcome this problem is to implement a caching mechanism. This study aims to determine the effect of the use of Redis as a caching layer on improving the performance of Express.js-based APIs in e-commerce applications. The method used was a quantitative experiment with three test scenarios, namely API without Redis, API with Redis in cold cache condition, and API with Redis in warm cache condition. The test was carried out using the k6 load testing tool to simulate the user load of up to 100 virtual users, with the observed metrics including response time, throughput, and error rate. The test results showed that the implementation of Redis was able to reduce the average response time by up to 69% and increase throughput three times compared to the condition without Redis. The best performance is obtained in the warm cache condition, where Redis has stored data in memory and is able to provide a response with an average time of 32.68 ms. This study proves that Redis is an effective solution to optimize API performance in e-commerce systems with high and repetitive data access patterns.
Copyright (c) 2025 Yuzaky Prilyansyah, Susanto (Author) https://creativecommons.org/licenses/by/4.0
Penerapan Metode Value Engineering Pada Pengembangan Produk Pempek
Product innovation in pempek is a development in terms of taste innovation and the choice of raw materials, which are becoming more expensive and abundant in the market. This research was conducted to determine consumer interest in pempek innovations and to identify the production costs required by MSMEs. The development of pempek products in this study involved replacing the raw material of mackerel with red snapper. The method for developing pempek telor (egg cakes) was carried out using a product development and value engineering approach, based on the calculation of the Cost of Goods Sold (COGS) and the Function Analysis System Technique (FAST) diagram. Initial data from the study showed that 66 out of 100 respondents expressed interest in trying the pempek telor innovation. The results of this study, based on hedonic testing, revealed 4 key points: the level of pempek deliciousness, with 18 out of 30 panelists stating that pempek with red snapper was more delicious; the level of pempek chewiness, with 12 out of 30 panelists stating that pempek with mackerel was chewier; the level of fishy aroma, with 10 out of 30 panelists stating that pempek with red snapper had no fishy smell; and the level of consumer preference, with 21 out of 30 panelists stating they preferred pempek with red snapper. Based on the cost of goods sold (COGS), the selling price of red snapper pempek is Rp 2,000, while the selling price of Spanish mackerel pempek is Rp 3,000, with a difference in COGS per production run of Rp 190,000. The recommendation from the research conducted is that product development innovation for pempek provides new options for flavors and raw materials that can be used.
Copyright (c) 2025 Rizqi Wahyudi, Bayu Farid Azhari (Author) https://creativecommons.org/licenses/by/4.0
Pemanfaatan Jaringan Syaraf Tiruan untuk Memprediksi Frekuensi Bunyi pada Bilah Gamelan Saron
Gamelan saron is one of the traditional musical instruments from Central Java that is played by beating using panakol saron. Traditionally, Javanese gamelan is tuned based on a subjective sense of harmony, making it necessary to adopt a more objective method for determining its sound frequency. This study aims to identify and predict the fundamental frequency of saron bars using an Artificial Neural Network (ANN) with the backpropagation algorithm. Frequency data were obtained using Audacity and processed in Matlab with a 50-10-1 network architecture and three types of training functions (TrainGD, TrainGDA, and TrainGDM). The best result was achieved using TrainGDA, with a testing MSE of 0.000893 and an accuracy range of 100%–102%. These findings demonstrate that ANN is effective in recognizing saron frequency patterns and supports gamelan preservation through digitalization.
Copyright (c) 2025 Delia Achadina Putri, Sri Endang Wahyuni, Puji Suharmanto (Author) https://creativecommons.org/licenses/by/4.0
Proteksi Citra Biometrik Sidik Jari dengan Pendekatan Kriptografi Route Cipher: Studi Eksperimen dan Analisis Ketahanan
Biometric data security has come under intense scrutiny, particularly following a series of data breaches demonstrating that even fingerprints are vulnerable to theft. The core issue is undeniable: unlike passwords, once a fingerprint is compromised, it cannot be reset by the owner. Addressing this urgency, this study evaluates the effectiveness of the Route Cipher, a classic cryptographic method, as a defensive mechanism for fingerprint images. The concept is technically straightforward: it employs spiral transposition to scramble the data's visual structure, rendering it unrecognizable to unauthorized entities. Experiments were conducted using ten BMP-formatted fingerprint image samples. The findings reveal a dual outcome; on one hand, the algorithm proves to be exceptionally lightweight and fast, achieving an average encryption time of merely 0.015 seconds. However, in terms of cryptographic resilience, the analysis—yielding a Number of Pixels Change Rate (NPCR) of 88.56% and a Unified Average Changing Intensity (UACI) of 46.33%—indicates that the scrambling process has not yet fully met optimal security standards. In conclusion, while the Route Cipher offers remarkable time efficiency, it should not be relied upon as a standalone solution for highly sensitive data; rather, it is best implemented in conjunction with additional security layers.
Copyright (c) 2025 Suhardi Suhardi, Muhammad Siddik Hasibuan (Author) https://creativecommons.org/licenses/by/4.0
Pengujian Fungsionalitas dan Usabilitas Pada Sistem Informasi Inovasi Menggunakan Black Box Testing
The Innovation Information System was designed to address the problem of unsystematic data collection and management of innovation products within the Information Systems Study Program Universitas Pendidikan Ganesha. To ensure the quality and suitability of the system to user needs, comprehensive testing is necessary. This study applies two testing methods: Black Box Testing to validate system functionality and Usability Testing to measure effectiveness, efficiency, and identify interface issues from a user perspective. Black Box testing was conducted through a series of test scenarios on key features such as login, innovation submission, filters, and admin approval. The results showed that all system functionality ran as expected. Usability testing involved student respondents and lecturers working on assignment scenarios. The results of the usability testing revealed several obstacles faced by users, particularly in the statistical filter feature, the clarity of the button to view creator details, and the login mechanism. Based on these findings, recommendations for improvements were formulated to enhance the user experience to make the system more intuitive and user-friendly.
Copyright (c) 2026 Putu Nadia Prameswari, Ammulia Rizqie Ramadhana Pujiyanto, I Ketut Veda Suputra, Putu Melianti Eka Maharani, Gede Surya Mahendra (Author) https://creativecommons.org/licenses/by/4.0
Evaluasi Risiko Kerja dan Persepsi Pekerja terhadap Implementasi K3 pada Industri Konstruksi
Occupational Safety and Health (OSH) is a crucial element in the construction industry due to the high potential for workplace accidents that can hinder productivity and compromise worker safety. This study aims to analyze occupational accident risks using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method and to assess workers’ perceptions of OSH implementation. Primary data were obtained from Job Safety Analysis (JSA) documents, field observations, and Likert scale-based questionnaires distributed to 15 workers. Risk analysis was conducted by evaluating the likelihood and severity to determine risk ratings, while perception data were processed descriptively. The results indicate that most work activities are classified as high-risk, particularly in the separator beam installation stage, which poses extreme risk due to working at heights and high risk from welding sparks. Workers’ perceptions reveal limited understanding of standard operating procedures and general OSH knowledge. This study concludes that OSH implementation in the construction industry must be continuously strengthened through regular training, strict supervision of PPE usage, refinement of SOPs, and improved communication and safety culture in the workplace.
Copyright (c) 2025 Dandy Rachmad Dandy, Agustian Suseno, Pipin Maspioh (Author) https://creativecommons.org/licenses/by/4.0
Analisis Risiko pada Pemasangan Plafon Menggunakan Body Harness dengan Metode JSA
Occupational Safety and Health (OSH) plays a crucial role in construction activities, particularly in work performed at heights such as ceiling installation. This study aims to analyze the use of body harnesses as fall protection equipment and the application of Job Safety Analysis (JSA) in identifying hazards and assessing risks during the ceiling installation process in a hospital construction project. A descriptive qualitative approach was employed, involving field observations, interviews with workers and safety officers, and project documentation. The results indicate that proper use of body harnesses can reduce potential accidents; however, several issues were identified, including inadequate equipment inspection, uneven worker understanding, and scaffolding conditions that did not fully meet safety standards. Through JSA, major hazards were identified, including fall risks, tripping hazards, and potential injuries from tools and materials. This study recommends increasing routine inspection, strengthening OSH training, and improving the use of personal protective equipment and work-area organization to enhance overall safety performance.
Copyright (c) 2025 Gavin Azarya Nugraha, Kusnadi, Widda Aulia Ditasari (Author) https://creativecommons.org/licenses/by/4.0
Penentuan Metode Forecasting untuk Prediksi Stok Telur Bebek di Yamuna Towuti
A common problem faced by the poultry sector in Indonesia is the high demand and supply of eggs, which has an impact on price instability and the risk of losses for producers and distributors. This condition is also experienced by Yamuna Towuti, a duck egg distribution business in East Luwu, which has difficulty in maintaining consistent stock availability. A specific problem that has arisen is the lack of an accurate forecasting method to predict future demand for duck eggs, which often leads to mismatches. This study aims to determine the most accurate forecasting method for predicting duck egg demand by comparing three approaches, namely Weighted Moving Average (WMA), Exponential Smoothing, and Linear Regression/Least Squares. The data used is secondary data in the form of historical records of duck egg demand in 2024, which was then processed using POM software. The results show that the Linear Regression/Least Squares method has the best accuracy with the smallest MSE value of 489.792 and MAPE of 7.645%. Thus, linear regression can be recommended as the appropriate forecasting method for Yamuna Towuti to support decision-making in managing duck egg stocks and distribution more optimally.
Copyright (c) 2025 Januar Kalsaputro, Erniyani, Fiskia Rera Baharuddin, Muhammad Habibie Nur Afriansyah, Muhlisa Deden (Author) https://creativecommons.org/licenses/by/4.0
Perancangan UI/UX Layanan Editorial Berbasis Web dengan Design Thinking to Rapid Prototyping
The rapid rise of social media has created a significant demand for engaging, informative, and high-quality digital content. However, many individuals and business actors still face limitations in editing skills, particularly in language and grammar aspects. This study focuses on designing and implementing a web-based editorial service that enables students and entrepreneurs to access professional content editing efficiently. The development adopts the Design Thinking to Rapid Prototyping approach through five key phases: empathize, define, ideate, prototype, and testing. Each stage prioritizes user needs, to produce an intuitive user interface (UI) and optimal user experience (UX). The system was developed using PHP and MySQL, with functional testing conducted via blackbox testing and usability assessed using the System Usability Scale (SUS). Results indicate that the system offers a simple and user-friendly interface, achieving a SUS score in the “good” category, which reflects high user satisfaction. Consequently, this solution can effectively assist users in producing quality content while enhancing audience engagement on social media.
Copyright (c) 2025 Nurul Armina, Furqan Khalidy, Junaidi (Author) https://creativecommons.org/licenses/by/4.0
Perancangan Website Pada Posyandu Silindit dengan Metode Rapid Application Development
Posyandu Silindit in Tegal Rejo Village still uses manual recording methods, causing slow reporting processes and increasing the potential for data loss. This study aims to design and develop a web-based information system to support the digitalization of recording, processing, and reporting of Posyandu activities more efficiently. The development method used is Rapid Application Development (RAD), as it accelerates the system development process and accommodates user needs through iterative prototyping. Data collection was conducted through observations, interviews, and literature studies to obtain a comprehensive understanding of the system requirements. The system was implemented using PHP as the main programming language and MySQL as the database management system, equipped with a user-friendly and responsive interface that can be accessed across various devices.The development results show that all main features—such as baby and toddler data management, weight measurement recording, immunization recording, activity scheduling, and automated report generation—functioned properly based on blackbox testing. The system proved capable of accelerating recording and reporting processes because data is processed automatically without requiring manual rewriting. The system also applies a role-based access mechanism, allowing only posyandu cadres or administrators to access and manage system data, while the public is not granted direct access. Thus, this system effectively enhances data accuracy, speeds up reporting processes, and supports the digitalization of posyandu services.
Copyright (c) 2025 Nova Safitri, Furqan Khalidy, Saiful Amir (Author) https://creativecommons.org/licenses/by/4.0
Sintesis, Karakterisasi, dan Uji Stabilitas Koloid Emas Menggunakan Bio-Reduktor Alami Ekstrak Daun Kelapa Sawit (Elaeis Guineensis J)
Gold colloids were successfully synthesized by utilizing oil palm leaf extract as a Bio-synthesis medium, natural reducing agent, and stabilizer. The use of natural reducing agents from plant extracts can replace dangerous and expensive chemical reducing agents. The purpose of this study is to form gold colloids through an environmentally friendly process, namely utilizing secondary metabolites such as Alkaloids, Flavonoids, and Tannins in oil palm leaf extract (Elaeis guineensis J) as natural reducing agents of Au3+ ions to Auo. In addition, oil palm leaf extract also functions as a chelating agent and stabilizer of gold colloids. XRD results show an average crystallite size of gold colloids of 22.8 nm with a face-centered cubic (FCC) shape. The average distribution of gold colloidal particle size is 27.5 nm with a zeta charge of -20 mV. This indicates the stability of gold colloids for 30 days.
Copyright (c) 2025 Nurul Asni, Mutiara Dewi Rukmana, Siti Suhartati, Tazkia Maulida Putri, Anjar Hermadi Saputro, Iwan Syahjoko Saputra (Author) https://creativecommons.org/licenses/by/4.0