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Andri Nofiar
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INDONESIA
Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
ISSN : 30318904     EISSN : 30318912     DOI : 10.61132
Core Subject : Science,
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika memuat naskah hasil-hasil penelitian di bidang Sistem Informasi dan Teknik Informatika
Articles 297 Documents
Penerapan Metode K-Nearest Neighbor untuk Mengetahui Tipe Gangguan Kecemasan Berdasarkan Faktor yang Mempengaruhi Zehy Fadia; Yani Maulita; Husnul Khair
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1137

Abstract

Anxiety disorders are common mental health problems in society, often unrecognized by the sufferer. Identifying the type of anxiety disorder and its influencing factors is crucial for proper treatment. This research aims to apply the K-Nearest Neighbor (K-NN) method in identifying types of anxiety disorders based on influencing factors, focusing on patient data from Sylvani Hospital, Binjai. The K-NN method was chosen because of its ability to classify based on data proximity. This study used medical record data of patients with anxiety disorders, which were processed using MATLAB and Microsoft Excel software. The results show that the K-NN method is effective in identifying types of anxiety disorders, with a high level of accuracy, especially in the identification of Panic Disorder (K05) and Social Anxiety Disorder (K03). The use of MATLAB simplified the identification process by automating results, while data processing in Excel improved classification accuracy. This study concludes that the K-NN method can be an effective alternative in identifying anxiety disorder types based on the factors that influence them. It is recommended for future research to involve more variables and mental health experts for a more comprehensive validation of the results.
Diagnosa Penyakit Syndrome pada Anak menggunakan Metode Case Base Reasoning (CBR) Amysa Putri Sitepu; Novriyenni Novriyenni; Muammar Khadapi
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1139

Abstract

Syndrome is a serious problem in children's health because it has a major impact on growth and development, especially in terms of intelligence and daily activities. Down Syndrome, as one of the most well-known chromosomal disorders, is often the main cause of intellectual developmental disorders, hypotonia, facial dysmorphism, early onset of Alzheimer's disease, and various behavioral disorders. Diagnosing syndrome diseases in children is often difficult due to complex and varied symptoms, requiring lengthy, costly, and time-consuming medical evaluations. This study aims to design a Case-Based Reasoning (CBR)-based expert system for diagnosing syndromes in children, which is expected to help accelerate the disease identification process and provide more effective and efficient solutions. The method used is the development of an expert system with a CBR approach, in which the system performs calculations and matching based on the symptoms selected by the user against the available case base. The results of the study show that from symptom inputs such as wide hands with short fingers, short stature, small head, stunted growth, small lower jaw, abnormal body appearance, and weak joints, the system was able to diagnose Klinefelter syndrome with a percentage of 43.58%. This system can be an alternative for patients or families who have limited time and funds to obtain medical consultations, so that diagnosis and follow-up can be carried out more quickly and efficiently.
Diagnosa Penyakit Hisprung pada Bayi menggunakan Metode Dempster Shafer Nadia Nurhafiza; Rusmin Saragih; Melda Pita Uli Sitompul
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1140

Abstract

Hirschsprung’s disease is a congenital disorder caused by abnormal nerve cell development in the large intestine, leading to chronic intestinal obstruction in infants. This condition often manifests through symptoms such as constipation, abdominal distension, vomiting, and failure to thrive. The weak immune system of infants makes them highly susceptible to bacterial infections and further complications. At Bidadari General Hospital, there were 110 patients suspected of having Hirschsprung’s disease. One of the major challenges in managing these cases is the limited number of medical specialists, particularly pediatricians and pediatric surgeons, resulting in long waiting times for accurate diagnosis, especially during peak service hours. To address this issue, this study applies the Dempster-Shafer method in an expert system to assist in diagnosing Hirschsprung’s disease based on clinical symptoms. The method effectively handles uncertainty and combines multiple pieces of medical evidence to produce more accurate diagnostic probabilities. The analysis results show that from the selected symptoms, the highest diagnosis probability corresponds to short-segment Hirschsprung’s disease with a confidence level of 71.54%. These findings suggest that the Dempster-Shafer method can serve as an effective alternative tool to support early and accurate diagnosis of Hirschsprung’s disease in infants.
Penerapan Algortima K-Means untuk Mengelompokkan Siswa Berdasarkan Tingkat Pemahaman dan Kemandirian Belajar dalam Kurikulum Merdeka Ingke Fuji Utami Br Barus; Novriyenni Novriyenni; Imeldawaty Gultom
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1141

Abstract

The Merdeka Curriculum implemented in various schools in Indonesia aims to provide flexibility in learning, where students can learn according to their individual needs, interests, and pace. One of the challenges in implementing this curriculum is how to effectively identify classroom activity and student discipline. SD Islamiyah, as a school that implements the Merdeka Curriculum, also faces challenges in understanding variations in student classroom activity and discipline. Some students are able to learn in a disciplined manner with little guidance, while others require more intensive support from teachers. Therefore, a system is needed that can group student data more systematically so that teachers can develop teaching strategies that suit the needs of each group of students. One algorithm that can be used in data grouping is k-means clustering. The K-Means algorithm is a non-hierarchical algorithm derived from the data clustering method. The K-Means algorithm begins with the formation of cluster partitions at the beginning, then iteratively refines these cluster partitions until there are no significant changes in the cluster partitions. The K-Means method partitions data into groups so that data with similar characteristics are placed in the same group and data with different characteristics are grouped into other groups. This method can help group students more accurately based on their Class Activity and Discipline. From the results of the analysis, it was concluded that the student data group with Class Activity was Moderately Active Students, with Discipline being Disciplined, and an average score of 71-80.
Pengelompokan Data Siswa SMP dalam Mendeteksi Kesehatan Remaja Menggunakan Algoritma K-Means Delvi Kibina Br Sembiring; Khairul Khairul; Melda Pita Uli Sitompul
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1142

Abstract

Technological advancements in education have led to major transformations, particularly with the implementation of the Merdeka Curriculum, which emphasizes learning flexibility, student-centered approaches, and educator autonomy in developing innovative teaching methods. One of its essential aspects is the integration of technology for managing educational data, including student health records. At SMP IT Mutia Rahma, biannual student health monitoring has generated a growing volume of data, making it difficult to identify students experiencing psychological challenges. Adolescent mental health problems—such as learning stress, anxiety, and social pressure—can negatively affect academic performance if left unaddressed. This study aims to group students based on their mental health conditions to support more effective intervention strategies. The K-Means Algorithm, a data mining technique for clustering data by similarity, was employed to analyze student health data. The results show that in a three-cluster model, Cluster 2 represents students in a stable condition characterized by high resilience and low counseling needs, indicating good mental health and academic engagement. Meanwhile, Clusters 1 and 3 include students requiring further attention and support. This research demonstrates that the K-Means Algorithm can serve as an effective tool in identifying and categorizing student mental health conditions to improve school-based health management and early intervention programs.
Pengaruh Efektifitas dan Kualitas Layanan Sistem Informasi Akademik Berbasis Web terhadap Tingkat Kepuasan Mahasiswa Pada STMIK Pranata Indonesia Bekasi Suryono Suryono
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1143

Abstract

The use of information technology has become a non-negotiable necessity, as the availability of integrated information is increasingly crucial in supporting efforts to create efficient and competitive company/organizational systems. Good academic information system management is essential for providing services to those in need and resulting in improved performance in education delivery. Accuracy and precision in presenting information are important factors in managing information. From the results of the t-test calculation calculated using SPSS 20 partially, it was found that the t-value for the effectiveness variable was 3.819 and the convenience variable was 1.745 and the quality variable was 1.933 when compared with the t-table of 1.663, it was concluded that Ho was rejected and H1 was accepted, thus partially the independent variable influenced the dependent variable, namely student satisfaction. From the results of the F-test calculation, it was found that the F-count was 9.628> from the F-table, which was 2.48, and the significance level was 0.00, which was smaller than 0.05, and this meant that overall the independent variables had an effect on the dependent variable. From the results of the R test, it was found that the determinant coefficient was 0.599 and R2 was 0.359, this meant that the influence of the independent variables on the dependent variable was 35.9% and the remaining 64.1% was influenced by other variables that had not been studied.
Perencanaan Strategis Sistem Informasi untuk Peningkatan Layanan Pelanggan pada UMKM Food Mood Hendry Kus Hermawan; Krisna Bagus Samboro; Bayu Effendi; M. Fikriyadi Maulana; Ito Setiawan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1153

Abstract

This study develops a strategic information system plan to improve customer service at the Food Mood MSME in the food and beverage sector. The Ward and Peppard framework is used to map the business and technology environment through Value Chain, SWOT, PEST, and Porter's Five Forces analyses, which are then broken down into Critical Success Factors and measurable key performance indicators. The research design is a qualitative case study with semi-structured interviews with the owner and employees, observations during peak hours, and a review of operational documents. The mapping results in a prioritized portfolio that places a cloud-based point-of-sale system integrated with QRIS, a lightweight inventory and procurement module, a kitchen display system, and basic accounting as the foundation, followed by a mini customer relationship management and loyalty program, online channel integration, a sales dashboard, and simple demand forecasting. The formulated performance targets include a wait time of no more than eight minutes, an order error rate below one percent, stock-outs of less than one day per month, and 100% transaction recording. The suggested three-month roadmap is operational and provides immediate benefits in terms of increased service speed, data accuracy, and potential customer retention, while also confirming the relevance of Ward and Peppard's approach for the Indonesian MSME context.
Super Enkripsi Kriptografi Pengamanan Pesan File Audio Record Mp3 dengan Algoritma Riverst Shamir Adleman (RSA) dan Elgamal Dhymaz Haiqal Azhari; Achmad Fauzi; Herman Sembiring
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 6 (2025): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i6.1160

Abstract

MP3 audio files are often used in a variety of fields, but they are prone to security risks such as eavesdropping and illegal access. This study proposes a super encryption method by combining the algorithms of Rivest Shamir Adleman (RSA) and ElGamal to improve the protection of audio data. RSA was chosen for its efficiency and ease of implementation, while ElGamal offers a high level of security through discrete logarithmic complexity. The combination of the two is expected to address the weaknesses of each algorithm and strengthen file security. The system is developed using the Python programming language with the Visual Studio Code environment. The encryption process is done in layers: MP3 files are first encrypted with RSA, and then the results are encrypted again with ElGamal. The decryption is done in reverse order. Tests are conducted with various MP3 file sizes to measure the effectiveness and performance of the system. The results show that this method is able to secure audio files so that they cannot be accessed without the private keys of both algorithms. Although processing times are increased compared to single encryption, the level of security obtained is much higher. This approach can be an effective solution for protecting digital audio data, particularly MP3 format, and could potentially be applied to a wide range of other data types that require a high level of security.
Sistem Informasi Manajemen Masjid Berbasis Web Roro Fatikhin; Nuari Anisa Sivi; Maulana Malik Hidayatullah
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 1 No. 2 (2023): Maret: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v1i2.1219

Abstract

The trust of the congregation in the mosque management is greatly influenced by the quality of a transparent and accountable management system. Manual recording systems that are still widely used are often less effective in providing accurate, fast, and easily accessible data, especially related to cash flow information and mosque activity programs. This condition can cause unclear information that has an impact on the low active participation of pilgrims. This research offers a solution in the form of building a website-based mosque administration system that is adaptive and easy to use. System development is carried out through the stages of needs analysis, feature design, application implementation, and functional testing. The system built provides several main services, including managing worship schedules, recording income and expenditure in a structured manner, and reporting mosque activities in detail and real-time. Through the web platform, financial information and activity programs can be accessed more openly, thereby increasing transparency and accountability in mosque management. The results of the development show that this system is able to simplify the administrative process, speed up the presentation of information, and support the supervision of funds by pilgrims and administrators. Thus, a website-based administration system can be an effective solution to increase the trust of worshippers and encourage more active participation in mosque activities.
Rancang Bangun Website Sekolah Menggunakan Google Sites Sebagai Media Informasi dan Komunikasi Imam Mualim; Rudi Hartono; Ismi Laras Wati; Suci Khotimah
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 1 No. 5 (2023): September: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v1i5.1220

Abstract

This study aims to design and develop a school website using Google Sites as an effective medium of information and communication for both the school community and the public. The website development process was carried out through several stages, including needs analysis, content design, page creation, integration of supporting features, and functional evaluation. Google Sites was selected due to its ease of use, design flexibility, and its ability to integrate with various Google services such as Drive, Calendar, and Forms. The results of the development show that the resulting website is capable of providing structured school information, including the school profile, activity programs, administrative services, as well as news and announcement publications. In addition, communication features such as online forms and integrated school contact information enhance accessibility and interaction between the school and users. Based on limited trials, the website was considered feasible and easy to use as an information and communication medium that supports transparency, openness, and effective dissemination of information within the school environment.

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