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Saturnus: Jurnal Teknologi dan Sistem Informasi
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30319935     EISSN : 30319943     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Saturnus : Jurnal Teknologi dan Sistem Informasi memuat naskah hasil-hasil penelitian di bidang Teknologi, dan Sistem Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 122 Documents
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Perencanaan Strategis Sistem Informasi Menggunakan Metode Ward and Peppard pada PT. XYZ Imam Fathul Aziz; Dicky Pratama
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1068

Abstract

The rapid development of information technology in the digital era has transformed the way organizations conduct their business activities. Information systems are now viewed not merely as operational support tools but as strategic elements capable of providing added value, increasing efficiency, and strengthening a company's competitiveness. In the context of PT XYZ, a company engaged in inspection and certification services, the use of information technology has become a crucial part of daily work processes. However, the implementation of information systems at the branch level still faces several obstacles. Data and process integration is not yet fully optimized, while alignment between the systems used and business needs has also not been achieved. This condition has the potential to hinder the company from providing fast, accurate, and innovative services. Therefore, appropriate and sustainable strategic planning of information systems is necessary. This study uses the Ward and Peppard framework enriched with Value Chain analysis to identify value-added activities, SWOT to identify strengths, weaknesses, opportunities, and threats, and PEST to map external factors affecting the business. In addition, the McFarlan Strategic Grid is used to prioritize the application portfolio that aligns with the company's long-term goals. The results of this research are expected to be able to produce an information system strategy design that not only supports operational efficiency, but also encourages service innovation and increases the competitiveness of PT XYZ in the inspection and certification services industry.
Implementasi Metode SSADM pada Perancangan Sistem Informasi Layanan Administrasi Sekolah Berbasis Web di Dinas Pendidikan dan Kebudayaan Kabupaten Situbondo Ikrom Cemara; Adi Susanto; Wawan Tofik
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1074

Abstract

The Department of Education and Culture of Situbondo Regency is a government agency responsible for providing administrative services to schools within its jurisdiction. However, based on field survey results, the current system still faces significant challenges due to its lack of integration. For instance, the process of collecting physical documents and tracking application status remains inefficient, leading to various obstacles such as service delays, risks of data loss, inconvenience for applicants, and limited transparency and accountability in data management. To address these issues, this study proposes the design of a web-based school administrative service information system. The system development process employs the Structured Systems Analysis and Design Method (SSADM), which emphasizes systematic and structured procedures to ensure functionality and efficiency. The results of this study highlight the importance of adopting information technology within government institutions, particularly the Department of Education and Culture of Situbondo Regency, as a means of supporting administrative activities. The proposed web-based system is expected to streamline administrative processes, improve service delivery, and enhance transparency in managing school-related data. Moreover, by integrating digital solutions into governance, the system can contribute to strengthening the quality of education management and supporting better decision-making processes. Ultimately, the design of this information system demonstrates the potential of technology to transform public sector services and foster accountability in education governance.
Sistem Informasi Kinerja Pegawai Non-ASN Berbasis Web pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Situbondo khoiron, alva alvin; Adi Susanto; Ayung Warninda
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1075

Abstract

The Population and Civil Registration Office of Situbondo Regency faces challenges in improving the efficiency of recording and reporting the performance of Non-ASN employees, which has so far been conducted through temporary notes and documents. This approach is prone to delays, input errors, and suboptimal data management. To address this issue, this study aims to design a web-based information system capable of recording, managing, and displaying Non-ASN employee performance reports in a structured and real-time manner. The system is developed using PHP programming language and MySQL database to support dynamic and integrated data management. The system development follows the V-Model approach, which emphasizes verification and validation at each development stage, including requirement analysis, system design, module design, implementation, unit and integration testing, and maintenance. The result of this study is an information system that facilitates performance data entry, accelerates report generation, and improves accuracy and transparency in evaluating Non-ASN employee performance. In addition, the system is designed with a responsive web interface that is easy for stakeholders to use.
Diagnosa Penyakit Demam Berdarah Menggunakan Metode Cased Base Reasoning (CBR) Shela Andini; Rahmadani Rahmadani; Siswan Syahputra
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1081

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of Aedes aegypti mosquitoes. In 2023, 48 cases of DHF were reported in the Kebun Lada Public Health Center area, reflecting a high incidence rate and limited medical resources in managing the cases. This situation emphasizes the need for an alternative solution that can support a fast and accurate diagnostic process. This study aims to develop an expert system for diagnosing DHF using the Case-Based Reasoning (CBR) method. CBR functions by comparing the symptoms experienced by patients with previous cases stored in the knowledge base, thereby producing relevant diagnostic recommendations. The proposed system is implemented as a web-based application using PHP as the programming language and MySQL as the database management system. The expected outcomes of this study are to assist medical personnel in reducing diagnostic time, improving the accuracy of decision-making, and increasing the effectiveness of health services in primary healthcare facilities. In addition, the system is designed to provide wider access for the community to recognize early symptoms of DHF, which can contribute to preventive actions and reduce the risk of severe complications. Thus, the developed expert system has the potential to become a practical solution to overcome the shortage of medical personnel and enhance public health awareness.
Sistem Informasi Administrasi Pembayaran Dealer Carsentro Berbasis Web Aries Budhi Kurniawan; Agus Ariawan
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1087

Abstract

The current advancements in information technology have brought significant benefits to the industrial world, particularly in the automotive sector. Website development in business and computer- based academic information system development are among the utilization of information technology. With information technology, Carsentro dealer data can be processed quickly and easily, enabling the presentation of accurate, fast, transparent, and efficient administrative information reports. The purpose of developing this system is to address existing issues in the old system by creating an administration information system for Carsentro dealer rental payment data. The implementation of a new system for Carsentro dealer data can improve record-keeping accountability, thus avoiding manual input recording errors that cannot be monitored by dealers renting space at Carsentro. In the development of this administrative information system, the data to be inputted includes information on when dealers joined the Carsentro ecosystem, the amount of monthly rental fee invoices, payment data, and dealer debt or receivables data. The software used is DBMS (Database Management System) MySql as the data storage medium, while programming languages such as PHP, CSS, JavaScript, and HTML are used for interface development. This aims to facilitate both users and administrators in managing data.
Sistem Pendukung Keputusan untuk Penilaian Kinerja Karyawan Biller di Kantor ULP Kuala Menggunakan Metode TOPSIS Sri Defriani Br Sembiring; Suci Ramadani; Anton Sihombing
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1088

Abstract

Employee performance appraisal is a crucial aspect of human resource management and development, as the evaluation results serve as the basis for managerial decision-making, including promotions, incentives, and career development. However, unstructured assessment sistems often hinder the objectivity, transparency, and accuracy of performance evaluations. This study aims to design and develop a web-based Decision Support Sistem (DSS) to assess the performance of Biller employees at the ULP PLN Kuala office by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS was selected because it effectively addresses multi-criteria decision-making problems by comparing each alternative to both positive and negative ideal solutions. The evaluation criteria include invoice achievement, account return balance, and PAL balance. The sistem was developed using PHP as the programming language and MySQL as the database, ensuring integration and accessibility. The test results indicate that the sistem is capable of providing employee rankings in an objective and measurable manner. Based on the calculation, Tri Widodo achieved the highest score (0.8027), demonstrating the best performance among the evaluated employees. The implementation of this TOPSIS-based DSS makes the performance appraisal process more sistematic, efficient, transparent, and accurate, thereby contributing to the improvement of human resource management quality within the organization.  
Penerapan Jaringan Saraf Tiruan untuk Mengelolah Data Perubahan Cuaca sebagai Dasar Prediksi Kondisi Iklim Winda Yunia Purnama; Lailan Sofinah Harahap; Nur Azizah Hidayat
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1258

Abstract

This study aims to analyze the application of Deep Neural Networks (DNN) as an artificial intelligence approach in processing weather data to support more accurate and stable climate predictions. Increasingly unpredictable and fluctuating weather patterns demand modern analytical methods capable of capturing non-linear relationships among atmospheric variables. DNN is utilized due to its ability to learn complex data structures through multilayer representations that extract deeper features from input variables. Weather data such as temperature, humidity, rainfall, air pressure, and wind speed are processed through several preprocessing stages to ensure optimal model performance. This research employs a descriptive qualitative method based on literature studies to examine the role of DNN in weather prediction systems. The findings indicate that DNN demonstrates strong generalization abilities, robustness to fluctuating data, and more stable predictive outputs compared to conventional statistical approaches. Thus, DNN is considered a promising component for the development of early warning systems and modern data-driven climate analysis, offering improved reliability in understanding and forecasting atmospheric conditions.
Optimasi Arsitektur Jaringan Syaraf Tiruan untuk Prediksi Curah Hujan Berdasarkan Data Meteorologi Indonesia Milawati; Lailan Sofinah; Putri Salsa Nabila; Zaskia Maghfira
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1274

Abstract

This study aims to optimize the architecture of Artificial Neural Networks (ANN) for rainfall prediction using meteorological data from Indonesia, which is known for its complex and highly variable climate patterns. Climatic variables such as temperature, humidity, air pressure, wind speed, and historical rainfall records serve as the main input features to evaluate the performance of various network configurations. Optimization is carried out by determining the appropriate number of neurons, hidden layers, activation functions, and training algorithms to enhance prediction accuracy. Model evaluation employs indicators such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to ensure output stability. The findings indicate that a multilayer architecture combined with optimized parameters significantly improves the network’s ability to capture non-linear patterns in Indonesia’s tropical rainfall data. The optimized model produces more stable and accurate predictions compared to standard configurations. These results highlight the importance of ANN architecture optimization in supporting early warning systems, agricultural planning, water resource management, and hydrometeorological disaster mitigation across Indonesia.
Implementasi Jaringan Syaraf Tiruan untuk Menentukan Penutupan Kompetensi Keahlian SMK berdasarkan Minat Siswa Alisya Alfina Rizki Ritonga; Lailan Sofinah Harahap; Cici Pratiwi
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 2 (2025): April : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1276

Abstract

The development of vocational education requires Vocational High Schools (SMK) to align their competencies with student interests and industry needs. However, a mismatch between student interests and the competencies offered can result in low enrollment, requiring schools to consider closing certain programs. This study proposes the application of Artificial Neural Networks (ANNs) as a predictive method to determine the potential closure of vocational competencies based on an analysis of student interest patterns. The data used includes interest history, academic grades, and other preference indicators, which are then subjected to a preprocessing stage to ensure the quality of the model’s input. The ANN is trained to accurately recognize interest patterns, thus generating objective and adaptive decision-making recommendations. The results show that the ANN implementation provides high accuracy in predicting student interest trends and provides more precise The development of vocational education in Vocational High Schools (SMK) requires the ability to align skill competencies with students' interests and industry needs. A mismatch between students' interests and the competencies offered can lead to low interest in certain programs, which in turn may result in the decision to close those programs. This study proposes the application of Artificial Neural Networks (ANN) as a predictive method to determine the potential closure of skill competencies based on the analysis of students' interest patterns. The data used includes interest history, academic grades, and other preference indicators. This data is processed through a preprocessing stage to ensure the quality of input for the model. The ANN is trained to accurately recognize students' interest patterns, allowing it to generate more objective and adaptive decision recommendations. The results of the study show that the application of ANN has high accuracy in predicting students' interest trends and provides more precise recommendations compared to traditional methods. Therefore, this system can be an effective tool for schools to plan curriculum policies more strategically and sustainably, as well as support decisions regarding skill programs that align with students' interests and industry needs.  
Transormasi Pengembangan HRD melalui Pendekatan Sistem Keputusan Berbasis Data untuk Meningkatkan Kinerja Organisasi Alya Zia Annisa; Tengku Maryam Arief Delikhan; Nabila Veronica; Abdurrozzaq Hasibuan
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 2 (2025): April : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1301

Abstract

The transformation of Human Resource Development (HRD) through a data-driven decision-making system has become a strategic necessity for organizations aiming to improve performance and competitiveness. This study employs a qualitative descriptive approach by reviewing several relevant journals that discuss the integration of data analytics into HRD functions. The findings indicate that data-driven decision systems enable organizations to accurately identify training needs, predict employee performance, and design development programs that align with evolving organizational demands. Furthermore, the use of data reduces subjective bias in evaluation processes and enhances the objectivity of performance assessments. This transformation also strengthens the strategic role of HRD by providing timely and evidence-based recommendations that support organizational goals. However, successful implementation requires technological readiness, digital competencies among HR personnel, and an organizational culture that encourages data utilization. Overall, the literature review shows that adopting data-driven decision approaches significantly contributes to improving HRD effectiveness and organizational performance.

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