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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL MAHAJANA INFORMASI Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Jurnal Ilmu Komputer dan Sistem Informasi JURNAL ILMIAH PENELITIAN MAHASISWA Jurnal ABDIMAS MUTIARA Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan
Magdalena Simanjuntak
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Analisis Data Mining Untuk Klasterisasi Data Rekam Medis Menggunakan Algoritma K-Means Pada Rumah Sakit Sylvani Binjai Nanda, Wahyu Surya; Akim M.H. Pardede; Magdalena Simanjuntak
Indonesian Journal of Education And Computer Science Vol. 1 No. 3 (2023): INDOTECH - December 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.43

Abstract

Medical record is a record of the history of patients who take treatment in hospitals or clinics. RSU Sylvani has many patients, every month and makes patient history data accumulate in the medical record data, but there is no follow-up benefit from the available data. Even though these data have great potential to provide new information and valuable insights if explored with data mining using the k-means clustering method. The amount of data that was tested was 893 data and produced 4 groups from the variables of disease diagnosis, gender and address. Where group 1 totaled 268 data with a diagnosis center for hypertension and female gender at the Pepper Garden address. Group 2 totaled 289 data with a diagnosis center for Asthma and female gender at the Hero's address. Group 3 totaled 185 data with GERD disease diagnosis center and male gender at Kebun Pepper address. group 4 totaling 151 data with a diagnosis center for Prostate Enlargement disease and male sex at Kebun Pepper address.
Diagnosa Penyakit Kelenjar Teroid Menggunakan Metode Case Based Reasoning Rizky Ramadan; Magdalena Simanjuntak; Suci Ramadani
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.237

Abstract

Thyroid gland disease is a disorder that affects the thyroid gland, which plays a vital role in regulating the body's metabolism. Common symptoms associated with thyroid disease include tremors, concentration difficulties, changes in the menstrual cycle, and neck enlargement. At RSUD Dr. RM. Djoelham, Binjai, many patients struggle to understand and diagnose this disease early due to a lack of information and specific symptoms. To address this issue, an information technology-based system is needed to help the public recognize thyroid disease symptoms and provide an early diagnosis. One effective approach for designing such a system is using Case Based Reasoning (CBR), a method based on experience that solves problems by finding similar cases from existing data. This system can process symptoms entered by users, such as dry skin, anxiety, neck enlargement, and others. Based on previous cases, the system will calculate the percentage probability of the disease, thereby providing a more accurate early diagnosis. For example, if the selected symptoms are dry skin, neck enlargement, and shortness of breath, the system can give a 42% probability of a thyroid gland disorder.
Rancang Bangun Identifikasi Kehadiran Mahasiswa Otomatis Menggunakan Face Recognition dan Kartu Tanda Mahasiswa ( KTM ) Menggunakan Internet of Things (IOT) Fazar Syahfitra; Akim Manaor Hara Pardede; Magdalena Simanjuntak
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.254

Abstract

This study aims to design and develop an automatic attendance system using Radio Frequency Identification (RFID) technology and an ESP32 CAM. The system is designed to improve efficiency and accuracy in recording student attendance in academic environments. When a student's RFID card is scanned, the system automatically identifies the student and captures an image through the ESP32 CAM as additional proof of attendance. Attendance data and captured images are stored in a database that is connected in real-time via the Internet of Things (IoT). The results of the testing show that this system is able to perform the attendance process quickly and accurately, providing convenience for administrators in managing and monitoring attendance data digitally.
Sistem Pendukung Keputusan Penentuan Kualitas Kayu untuk Kerajinan Mebel menggunakan Metode Electre Studi Kasus PT. Asia Mujur Andre Adrian; Rusmin Saragih; Magdalena Simanjuntak
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 5 (2024): September : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i5.561

Abstract

Wood is the main element that determines the quality of a furniture product or other wooden crafts. Furniture was originally a wood carving craft industry, so that the furniture products produced emphasize the artistic aspect (carvings). The lack of knowledge of furniture companies and laypeople in this industry results in difficulties in determining the decision to choose wood to be used as a material for good and quality furniture crafts. Determining the quality of wood for furniture crafts needs to be strengthened by the increasing needs of the furniture industry. This industry has a high demand for quality wood raw materials to produce durable and aesthetic furniture products. Therefore, determining the quality of wood is crucial in ensuring the success of production and customer satisfaction..
Rancang Bangun Solar Tracker Otomatis pada Pengisian Energi Panel Surya Berbasis Internet of Things (IoT) Firmando Saragih; Realita Buaton; Magdalena Simanjuntak
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 3 (2024): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i3.220

Abstract

This study aims to design and develop an automatic solar tracker system based on the Internet of Things (IoT) to enhance the efficiency of energy collection in solar panels. The system utilizes key components such as the ESP32 microcontroller, LDR sensors, servo motors, and the Blynk platform to monitor performance in real-time. The solar tracker is designed to follow the movement of the sun, ensuring that the solar panels are always positioned optimally to receive sunlight throughout the day. Testing indicates that this system improves solar energy absorption efficiency compared to static solar panel systems. Furthermore, the integration of IoT allows for more effective and efficient remote control and monitoring. Thus, this technology not only offers improvements in energy efficiency but also provides a practical solution for better and more sustainable solar energy management.
Diagnosis Penyakit Hypertemia Menggunakan Metode Demster Shafer Rahayu Arnanda; Achmad Fauzi; Magdalena Simanjuntak
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.235

Abstract

Hyperthermia is a condition characterized by symptoms such as dehydration, muscle spasms, dizziness, weakness, nausea, vomiting, and fatigue, which can harm the patient's condition. The causes of hyperthermia can vary, ranging from lack of fluids to excessive physical activity. RSU Putri Bidadari has doctors who are experts in treating various diseases, including hyperthermia. However, several obstacles often occur in the direct consultation process, such as long queues, long distances, limited time, and costs. Therefore, a technology-based system is needed that is able to manage hyperthermia symptom data and help diagnose the disease early, so that patients can get information and early treatment quickly. This method is used to manage the symptoms selected by the patient to determine the possibility of the disease with a high level of confidence. Based on the analysis of the selected symptoms, this system is able to produce the most accurate diagnosis with the case of hyperthermia type Heat exhaustion, with a confidence level of 50.26%.
Penerapan Metode Case Based Reasoning untuk Mendiagnosa Penyakit Demensia Elsa Risqi Amalia; Magdalena Simanjuntak; I Gusti Prahmana
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 5 (2024): September : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.176

Abstract

Dementia is a growing global health challenge due to the aging population and lifestyle changes. Early and accurate diagnosis is crucial but often difficult and costly. The Case-Based Reasoning (CBR) method in artificial intelligence offers a solution by mimicking human problem-solving based on past experiences. This study aims to develop and implement an efficient and reliable CBR-based dementia diagnosis system. The system is expected to analyze and compare patient symptoms and medical histories with documented cases to provide faster and more accurate diagnostic recommendations. The implementation of CBR in a web-based expert system using PHP and MySQL has proven effective, significantly contributing to the improvement of patient quality of life and healthcare system effectiveness.
Penerapan Metode Clustering pada Penyakit Abses Berdasarkan Faktor Penyebab Siti Mutoharoh Permata Ayunda; Akim M.H. Pardede; Magdalena Simanjuntak
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): 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.v2i4.343

Abstract

An abcess is a collection of pus in an indefinite space in the body, an abscess can appear on the surface of the skin and can appear in the tissues of an organ. Abscesses occur due to an infectious process or from parasitic bacteria due to foreign bodies, such as splinters, bullet wounds, needles. Many patients come with complaints of pain, swelling, redness, fever and others. Therefore, to overcome this problem, it is necessary to take quick action to help reduce and deal with the problem of abscess disease among the community by using the clustering method do that it can help agencies in conducting socialization so that the communinty knows more about the factors that cause abscess disease and how to handle it. From this research courced at tha Binjai estate Health Center which consists of several variables, namely age, type of abscess disease data that often appears, the abscess disease data that often appears after doing the 2 cluster process is with age is 26-35 years, with the type of abscess disease is dental abscess, and the casual factor is not maintaining dental hygiene.
Deteksi Penyakit Diare Pada Anjing Menggunakan Metode Case Based Reasoning Puteri Diyana; Yani Maulita; Magdalena Simanjuntak
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): 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.v2i4.356

Abstract

In Indonesia, people keep a lot of animals, such as dogs. Dogs are one of the favorite animals commonly kept by humans. Dogs are usually favorite animals that can be used as companions, guarding the house, hunting and so on. Alvi Deiectiones (Diarrhea) disease is caused by eating food errors (such as eating leftover or stale food), changing types of food without a transition period, viral, bacterial, or parasitic infections.One of the problems often encountered at the Binjai Petshop clinic is diarrheal disease in dogs. The lack of knowledge in people who keep dogs about diarrhea disease and the limited existence of veterinary clinics, time and money make many cases of improper treatment that worsen the dog's condition. To help overcome this problem is to create an Expert System that can diagnose diseases based on the symptoms that occur to detect the disease experienced. Expert System can be interpreted as a collection of facts that have been collected to show the symptoms of a disease and can provide an explanation based on consultation with the expert.
Penerapan Metode Teorema Bayes untuk Memprediksi Penyakit Tifus Risdiana Risdiana; Hotler Manurung; Magdalena Simanjuntak
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): 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.v2i4.365

Abstract

Typhoid is an acute febrile condition caused by infection with Salmonella enterica bacteria, especially the Salmonella typhi variant. Typhoid fever or what we usually know as typhoid fever. However, this disease can also be caused by other types such as Salmonella paratyphi A, Salmonella typhi B, and Salmonella paratyphi C. Typoid fever or typhus abdominalis is an acute infectious disease of the small intestine with symptoms of fever for one week or more accompanied by disorders of the intestinal tract. digestion and with or without impaired consciousness. Bayes' theorem is a theory of probability conditions that takes into account the possibility of an event (hypothesis) depending on other events (evidence). Future events can be predicted if previous events have occurred. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities. In other words, it is used to calculate the probability of an event based on its relationship to other events. Based on the weight value given by the expert to each patient's typhoid symptom data, from the results of the analysis carried out with the diagnosis results from the consultation, the symptoms are High fever (lasting up to two weeks), Headache, Chills, Skin rash, Muscle and joint pain, Extreme fatigue, Dry cough, Confusion or delirium, Nausea and vomiting, Swollen spleen, Abdominal pain with predicted results for Epidemic Typhus with a value of 76.26%.
Co-Authors ACHMAD FAUZI Ahmad Fauzan Akbar Andre Adrian Andrean Samuel Siahaan Buaton, Relita Budi Serasi Ginting Dwi ASTUTI Elsa Risqi Amalia Fazar Syahfitra Firmando Saragih Gultom, Imeldawati Herdina Putri Ahmadi Hotler Manurung I Gusti Prahmana Karonika Br Barus Khadapi, Muammar Khair, Husnul Lala Arika Layla Mutiara Hasibuan Maida Andriani Marto Sihombing Nanda Wahyudi Nasution Nanda, Wahyu Surya Novriyenni Nurhayati Pardede, Akim Manaor Hara Pujiani Pujiani Puteri Diyana Rahayu Arnanda Ramadani, Suci Realita Buaton Refirda Agtalia RISDIANA RISDIANA Rizky Ramadan Rusmin Saragih, Rusmin Shella Nadya Siswan Syahputra Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Sulis Sutiono Tanty Tanty Yani Maulita