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Infotech: Journal of Technology Information
Published by STMIK Widuri
ISSN : 26205181     EISSN : 24602108     DOI : https://doi.org/10.37365/it
Core Subject : Science,
Computer Science & IT
Jurnal Infotech adalah jurnal ilmiah yang berisi hasil penelitian yang ditulis oleh dosen, peneliti dan praktisi. Jurnal ini diharapkan untuk mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian di bidang Teknologi Informasi dan Ilmu Komputer. Infotech diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Widuri dengan akses terbuka. Setiap artikel yang diterbitkan memiliki pengidentifikasi objek digital (DOI). ISSN 2620-5181 (Online) ISSN 2460-2108 (Print)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 207 Documents
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MENGANALISIS PROSES BISNIS DALAM MENERAPKAN APLIKASI RESEP DAN BELANJA BAHAN MAKANAN Purnomo, Yunianto; Putro, Endi; Lee, Francka Sakti; Andry, Johanes Fernandes; Nurprihatin, Filscha; Onggo, Kallista Angelia
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.343

Abstract

The recipe and grocery shopping application is designed to increase the ease of users in accessing cooking recipes and shopping for groceries in an integrated manner. This research aims to analyze the business processes involved in the application using the Business Process Model and Notation (BPMN) approach. Analysis is carried out to understand the workflow structure, identify potential efficiencies, and produce performance improvements before and after system implementation. The research results show that the application of this application is able to direct processes that were previously manual and fragmented, such as searching for recipes, making shopping lists, and ordering groceries. The BPMN model is used to visualize changes in business process flow, enabling comprehensive evaluation of aspects of time efficiency, error reduction, and increased user satisfaction. This research concludes that the BPMN approach is effective in analyzing and optimizing business processes in recipe and grocery shopping applications. These findings contribute to the development of similar applications, especially in designing systems that are more efficient and responsive to user needs.
SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS BERBASIS WEB PADA PESANTREN PENGHAFAL AL-QUR’AN AL-KAUTSAR Rostiani, Yeny; Amelia, Sintia; Rustiadi, Rizzky
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.388

Abstract

The purpose of this research is to design a web-based accounting information system that can be used to record and manage cash inflow and outflow transactions, as a solution to improve efficiency and accuracy in cash management at the Qur’an Memorization Islamic Boarding School Al-Kautsar Karawang (PPAAK), an educational institution focused on Social-Based Education. The research methodology uses the waterfall approach, which consists of the stages of requirements analysis, system design, implementation, and testing. The system is developed using the PHP programming language and a MySQL database, and is equipped with a user-friendly interface. The main features of this system include recording of cash inflow and outflow transactions, user data management, as well as automatic and periodic generation of cash receipt and expenditure summary reports. With this system, the financial reporting process becomes more efficient and can be accessed in real-time by relevant stakeholders.
STUDI PERBANDINGAN KEAKURATAN MODEL GLM DAN SVM DALAM MEMPREDIKSI TINGKAT PENGANGGURAN DI INDONESIA Nindito, Hendro; Imanuel, Marchelle; Calvin, Calvin; Lukman, Michelle Pandojo
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.374

Abstract

Unemployment is one of the major issues faced by Indonesia. As of February 2024, the open unemployment rate in Indonesia reached 4.82% of the total labor force. The decline in labor force participation rates and the Human Development Index (HDI) in provinces with high open unemployment rates indicates a correlation as a key contributing factor to unemployment.  This study aims to predict the open unemployment rate in regions of Indonesia using the Generalized Linear Model and Support Vector Machine algorithms through Oracle Machine Learning, and to compare the accuracy of both models in predicting regional unemployment levels in Indonesia. The CRISP-DM framework was applied to support a structured analytical process.  The results of the study show that the Generalized Linear Model developed to predict the open unemployment rate in Indonesia achieved a Mean Absolute Error (MAE) of 0.156 and a Root Mean Square Error (RMSE) of 0.246. In comparison, the Support Vector Machine model yielded a lower MAE of 0.014 and an RMSE of 0.097.
IMPLEMENTASI SAMPAH CERDAS DI UNIVERSITAS: SEBUAH SYSTEMATIC LITERATURE REVIEW Effendy, Vina Ardelia; Sulasno, Mitsal Shafiq
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.371

Abstract

The problem of waste management in DKI Jakarta is a major challenge for the local government, especially with the increase in waste generation which reaches an average of 41,079,420.38 tonnes per year and 112,546.36 tonnes per day by 2023. The limited management capacity means that around 30 tonnes of waste, or 16,286,946 tonnes, are not optimally handled. Waste management in the DKI Jakarta area is classified into household waste, household-like waste, and specific waste, which covers various sectors, including offices, universities, and public facilities. Universities have an important role to play in promoting environmental sustainability through the implementation of smart waste management concepts. This study aims to explore the application of an effective waste management system in an academic environment, as well as to provide comprehensive insights into research trends in the field of solid waste management. This study uses the application of a Systematic Literature Review (SLR) which is expected to provide insights into the application of smart waste management from various developed countries in the scope of Higher Education in the future and to support the implementation of sustainable waste management practices in Higher Education. By reviewing existing literature, this research also contributes to enriching academic understanding and empowering communities and stakeholders to realise more efficient and sustainable waste management systems. The results of this research are expected to provide insights for the academic world and the application of smart waste. In addition, the findings obtained can form the basis for further research to enrich understanding and the development of innovative solutions in this field.
APLIKASI INFORMASI UKM PADA UNIVERSITAS DI JAKARTA UTARA Christianto, Kevin; Budiyantara, Agus; Lee, Francka Sakti; Andry, Johanes Fernandes; Bernanda, Devi Yurisca; Ananda, Deah
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.341

Abstract

Limited access to information about Student Activity Unit (UKM) activities and achievements is often an obstacle for students, especially new students, to be actively involved in campus activities. This study aims to develop an UKM Information Application to provide an integrated platform that makes it easier for students at universities in North Jakarta to access UKM information. This application is designed using the Scrum method, with iterative stages that include user needs analysis, development of key features such as delivery of activity information, event notifications, and documentation of UKM achievements, and evaluation through sprint reviews. The use of this application is expected to increase information transparency, facilitate communication between members, and encourage student participation in UKM activities. The results of the study are in the form of a digital-based information application that can strengthen UKM management and communication effectively and efficiently, supporting the modernization of information systems in higher education.
PENGEMBANGAN SMART DOOR LOCK BERBASIS IOT UNTUK MONITORING AKSES KARYAWAN DI PT EKASA TEKNOLOGI NUSANTARA Bagaskara, Aditya; Pradana, Afu Ichsan; Hartanti, Dwi
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.415

Abstract

Traditional physical door locks have various limitations, including the risk of loss, unauthorized duplication, and the inability to log access in real time. In a dynamic work environment such as PT Ekasa Teknologi Nusantara, this poses potential security risks to valuable company assets. A more flexible, efficient, and digitally monitored security system is therefore required. This study aims to design an Internet of Things (IoT)-based Smart Door Lock system capable of automatically recording and managing access. The method used involved observation of employee access patterns and the Agile software development approach, consisting of planning, design, development, testing, deployment, review, and launch phases. The system was developed using an ESP32 microcontroller, RFID module, and solenoid lock, all integrated with a user interface for managing access data. Testing results showed that the system can log entry activity in real time, send notifications, and provide management with flexibility in granting or revoking access rights. Thus, the system enhances company asset security, reduces reliance on physical keys, and offers an adaptive digital solution for workspace access control. The system also has potential for further development to meet organizational needs.
IMPLEMENTASI SISTEM INFORMASI AKUNTANSI DI DALAM KEBERLANJUTAN UMKM DI INDONESIA Nilawati, Yuana Jatu; Harahap, Cicely Delfina; Pakpahan, Arnolt Kristian; Chandra, Kristian
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.310

Abstract

This study focuses on the implementation of Accounting Information Systems (AIS) and Information Technology (IT) in supporting the sustainability of advanced economic units. The objective of this research is to characterize economic units, examine the application of AIS, explain the effectiveness of AIS and IT within these units, and investigate the role of IT specialists.  To achieve these objectives, a comprehensive analysis was conducted to understand the nature, structure, and operations of advanced economic units. This study explores how AIS is implemented and utilized in these units by examining the processes, procedures, and technologies involved in the collection, storage, processing, and reporting of both financial and non-financial data.  In addition, this research evaluates the impact and effectiveness of AIS and IT on the overall performance and sustainability of economic units, highlighting both the benefits and challenges associated with the adoption and integration of these systems.  The findings indicate that the effective implementation of AIS and IT has a positive impact on the performance of economic units, including improved decision-making capabilities, operational efficiency, and enhanced financial reporting.  This study also provides valuable insights into the application of AIS and IT in advanced economic units and underscores the importance of these systems in ensuring sustainability. The findings of this research may serve as a guide for decision-makers and practitioners in optimizing the use of AIS and IT.
KLASIFIKASI JENIS KULIT WAJAH MENGGUNAKAN ALGORITMA RANDOM FOREST Irwansyah, Irwansyah; Yudhana, Anton; Fadlil, Abdul
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.423

Abstract

Skin can be considered the largest organ in the human body. Healthy skin is not only good for the body, but alsoenhances the appearance. Good skin care is essential at any age. In the first few decades of life, the skin has aconsiderable supply of elastin and collagen, but it will gradually decrease. In addition, daily lifestyle can also directlyaffect the appearance of human skin. The purpose of the research is to develop a model that classifies facial skin typesbased on physiological data using random forest algorithm and measure the results of accuracy, precision, and recall.This research uses Rapidminer tools and four facial skin types namely dry, combination, normal, and oily. The resultsof random forest research obtained accuracy results of 93.25%. dry precision 98.02%, combination precision 92.94%,normal precision 93.46%, and oily precision 88.79%. While dry recall 99%, combination recall 79%, normal recall100%, and oily recall 95%. The findings of this research can help create a skincare recommendation system that ismore suited to the needs of each individual.
ANALISIS KINERJA ALGORITMA MACHINE LEARNING DALAM MENDETEKSI ANOMALI KETINGGIAN AIR LAUT: STUDI PERBANDINGAN ONE-CLASS SVM DAN ISOLATION FOREST Alifandra, Dhafa; Pratiwi, Nunik
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.405

Abstract

This study aims to compare the performance of two machine learning algorithms for anomaly detection One-Class SVM and Isolation Forest in identifying anomalies in sea level data in Indonesia, a region with high tsunami risk. The data were obtained from an official Indonesian government source over a one-year period and underwent preprocessing, including data cleaning and standardization. The models were evaluated using statistical analysis (Mann-Whitney U test), clustering metrics (Davies-Bouldin Index and Silhouette Score), and visual inspection. The results indicate that Isolation Forest outperformed the other algorithm with a Davies-Bouldin Index of 0.8124, while One-Class SVM achieved the highest Silhouette Score at 0.4381, although its Davies-Bouldin Index was higher at 0.9163. This study contributes to the selection of effective algorithms for ocean monitoring systems as part of disaster mitigation strategies in Indonesia.
OPTIMASI SMART FARMING HYDROPONIC NFT SYSTEM PADA BUDIDAYA TANAMAN PAKCOY SHANGHAI BERBASIS INTERNET OF THINGS MENGGUNAKAN ARDUINO UNO R4 WIFI Wahyu, Toni Rahmat; Sumaedi, Ade
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.424

Abstract

This study aims to develop a Smart Farming Hydroponic system based on IoT (Internet of Things) technology using the NFT (Nutrient Film Technique) for cultivating Shanghai Pakcoy. Utilizing the Arduino UNO R4 WiFi as the main microcontroller, the research integrates TDS and pH sensors to enable real-time monitoring of AB mix nutrient levels and water acidity. All data collected by the system is processed using the Arduino Cloud IoT Remote platform, allowing for remote monitoring and automated control. The study is conducted in Kampung Buah Tilu, Desa Cisaat Padarincang, focusing on optimizing limited land use in rural areas to introduce modern agricultural technology. The system is designed to enhance cultivation efficiency by maintaining nutrient and pH parameters within optimal ranges for plant growth. Additionally, the scope of the research is limited to technical aspects of nutrient management, excluding temperature and humidity control. The findings indicate that the Smart Farming Hydroponic NFT (Nutrient Film Technique) system successfully improves cultivation efficiency, provides real-time data visualization, and ensures optimal conditions for Shanghai Pakcoy growth. This research not only offers an efficient and eco-friendly agricultural solution but also opens up opportunities for developing similar technologies to empower rural communities. Through this innovation, IoT (Internet of Things) technology can be applied to sustainable farming systems to enhance productivity and improve agricultural product quality.

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