cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andri Nofiar.
Contact Email
garuda@apji.org
Phone
+6285885852706
Journal Mail Official
febri@apji.org
Editorial Address
Perum Cluster G11 Nomor 17 Jl. Plamongan Indah, Kadungwringin, Pedurungan, Semarang, Provinsi Jawa Tengah, 50195
Location
Kota semarang,
Jawa tengah
INDONESIA
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
 3   4   5   6   7 
Implementasi Metode SAW dan MABAC Pada Sistem Pendukung Keputusan Penerima Beasiswa Anak Tempatan Sari Misriana; Fajar Ratnawati
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.v2i4.350

Abstract

The Bengkalis Regency Education Office (Disdik) provides Local Children's Scholarships to students in an effort to help students to alleviate the dependents of the Single Tuition Fee (UKT) in pursuing education. In determining the recipient of the Tempatan Children's Scholarship, the Education Office government carries out several stages manually such as collecting all the files of students who register, after which the Education Office checks the completeness of the student files one by one, gives a value for each predetermined criterion and manually calculates the value of the criteria. A decision support system for recipients of web-based Local Children's Scholarships is needed to help determine recipients of Local Children's Scholarships to be faster and more accurate. This system is made using the Simple Additive Weighting (SAW) method and Multi Attributive Border Approximation Area Comparison (MABAC) to facilitate the calculation and comparison of the value of each alternative in the system, by determining the ranking based on the largest value as the best alternative. The result of the application of the SAW and MABAC methods in the system is that the system displays alternative data sequentially based on rankings that can help in determining the recipient of the Local Children Scholarship. From 60 field data, the application of SAW and MABAC methods on this system has an accuracy of 83.3%. The development method used is the Extreme Programming method.
Peningkatan Akurasi Pada Sistem Monitoring Posisi Kapal Menggunakan Metode Kalman Filter Herianto Herianto; Fajri Profesio Putra; Muhammad Asep Subandri
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.v2i4.354

Abstract

This research produces a monitoring system to determine the position of the ship using the Kalman Filter method in web-based system development using the waterfall development method. This system allows users to view the position and coordinates of the ship in real-time. By applying the Kalman Filter method, uncertainty and noise in measuring the position of the ship can be reduced, thereby increasing the accuracy in determining the actual position of the ship. The system development process is carried out using the waterfall method which consists of requirements analysis, design, implementation, testing, and maintenance. The developed web-based system provides more accurate and reliable information to users, with the ability to view the position and coordinates of the ship in real time. This research contributes to the development of a more effective ship position monitoring system that can be used in various purposes such as navigation, surveillance, and ship monitoring.
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.
Diagnosa Penyakit Paru-Paru dengan Metode Naive Bayes : (Studi Kasus: RSUD Djoelham Kota Binjai) Boyke Gunawan Manurung; Akim Manaor Hara Pardede; Rusmin Saragih
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.v2i4.359

Abstract

The lungs as the only pump for the respiratory system are very important organs for the continuation of life. Diagnosing or checking lung symptoms early can help people recognize the possibility that they are suffering from lung disease, so that treatment or care can be done earlier to prevent the severity of the disease. The method used in this study is the Naïve Bayes method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by adding up the frequencies and combinations of values ​​from the given dataset. An expert system is a computer application that can help decision making in more specific fields with methods that have been analyzed in advance by experts or specialists. This study used variables, namely types of lung disease including Pulmonary Tuberculosis (TB), Chronic Obstructive Pulmonary Disease (COPD), Bronchial Asthma and Lung Cancer. The results of this study are that lung disease or types of lungs can be diagnosed using the web-based Naïve Bayes method, and make it easier for sufferers to consult without seeing a doctor by selecting symptoms of lung disease.
Optimasi Penyusunan Koleksi Buku Dinas Perpustakaan Berdasarkan Pola Peminjaman dengan Metode Apriori : (Studi Kasus: Dinas Perpustakaan) Dinda Firdawati Simamora; Rusmin Saragih; I Gusti Prahmana
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.v2i4.360

Abstract

A library is a facility or place that provides reading materials. Good book arrangement can help the library in obtaining good reading sources. The arrangement of library service book collections based on borrowing patterns, there is an alignment between user needs and the availability of reading materials available in the library. Analysis of book borrowing patterns provides valuable insights for library staff in determining the books that are most in demand and often needed by users. Data mining is defined as mining data or efforts to dig up valuable and useful information in a very large database. The most important thing in data mining techniques is the rule for finding high frequency patterns between sets of itemsets called Association Rules. The method used in this study is Apriori (Association Rule). This technique is used to find relationships or associations between items or variables in data. Well-known algorithms such as Apriori and Eclat are used to find association rules in transactional data. The purpose of this study is to find out library visitor data using the Apriori Algorithm method and to find out the application of data mining for compiling book collections based on borrowing patterns. The results of this study are the multiplication of support and confidence, choose the one with the largest multiplication result. The largest result of the multiplication of these multiplications is the rule used when borrowing books. Because the results of the multiplication of the 4 borrowings have the same value, all of them can be used as rules.
Diagnosis Penyakit Dispepsia menggunakan Metode Dempster-Shafer Nurul Syahrani; Relita Buaton; Husnul Khair
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.v2i4.361

Abstract

Dyspepsia is a gastroduodenal disorder that is often characterized by symptoms such as epigastric pain, burning, bloating, and a feeling of fullness after eating. Treatment of dyspepsia often requires examination by a specialist doctor, which may not always be easily accessible due to distance, cost, or time constraints. Therefore, this study aims to diagnose dyspepsia using the Dempster-Shafer method to identify possible dyspeptic diseases such as GERD, gastritis, dyspepsia, and gastric ulcers based on 16 detected symptoms and 4 different treatments. to make it easier for patients to consult and get an initial diagnosis without having to see a specialist doctor directly. From this study, it is expected to help patients get information on the initial diagnosis of the patient.
Penerapan Metode Naïve Bayes untuk Memprediksi Tingkat Kesehatan Mental Siswa Menjelang Akhir Masa Sekolah Tengku Omri Wikana; Tioria Pasaribu; Hotler Manurung
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.v2i4.364

Abstract

Mental health is a state of well-being in which a person is aware of his or her abilities, can cope with normal life stresses, can work productively and contribute to his or her community. Mental health encompasses emotional, psychological and social well-being, and affects how a person thinks, feels and acts. It also determines how a person handles stress, relates to others and makes decisions. Prediction methods that can identify the level of mental health of students are important as a preventive measure. One promising method in this regard is the Naïve Bayes Method. This method has the advantage of being able to solve classification problems on complex datasets, such as student mental health data involving many independent variables. An expert system is a system that attempts to adopt human knowledge into computers so that computers can solve problems as is usually done by experts. The purpose of this study was to find out how to predict the level of mental health of students towards the end of school using the Naïve Bayes method. The results of this study are that the prediction of the level of mental health of students towards the end of school using the Naïve Bayes method can be used and the system created works well, without having to consult a doctor or psychologist.
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%.
Penerapan Metode Monte Carlo pada Simulasi Antrian Poliklinik RSUD DR. RM. Djoelham Desty Dwi Putri; Akim M.H. Pardede; Anton Sihombing
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.v2i4.368

Abstract

Long queues at the polyclinic of RSUD RM DR Djoelham Binjai often cause inconvenience to patients and reduce service efficiency. This study aims to analyze the queuing system at the hospital's polyclinic using the Monte Carlo method, which is able to model uncertainty in patient arrivals and service times. With this method, it is expected that a more accurate picture of patient waiting time and queue performance can be obtained so that improvement measures can be identified. The data used in this simulation includes the number of patients who come and the service time in the polyclinic. Monte Carlo simulations are carried out to predict various queuing scenarios based on variations that occur in patient arrivals and service duration. The simulation results provide information related to the estimated average waiting time of patients, and the level of queue density. This study shows that the application of the Monte Carlo method is effective in providing a more measurable solution to minimize waiting time and improve service quality at the polyclinic of RM DR Djoelham Binjai Hospital. These results are expected to be a reference for hospital management in making strategic decisions related to the optimization of health services. With the average waiting time for patients in the queue is 10.59 minutes while the average patient time is 25.34 minutes.
Sistem Pendukung Keputusan Penentuan Penerimaan Program Harapan Masyarakat (PKH) Menggunakan Metode Multi Faktor Evaluation Procces Muhammad Rafly; Darjat Saripurna; Kristina Anastasia
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.v2i4.369

Abstract

Dinas Sosial (Dinsos) mewajibkan ruamh tangga miskin mengikuti persyaratan yang ditetapkan pada Dinsos Kota Binjai. Adapun ketetapan tersebut adalah rumah tangga yang sesuai dengan kriteria yang telah ditetapkan Dinsos dan memenuhi syarat. Penerimaan Program Keluarga Harapan (PKH) sering kali tidak tepat sasaran, menyebabkan ketidakmampuan program dalam mencapai tujuan utamanya, yaitu mengurangi kemiskinan. Masalah ini dapat berasal dari beberapa faktor yang kompleks. Pertama, proses identifikasi dan verifikasi penerima PKH kurang akurat atau rentan terhadap penyalahgunaan atau manipulasi (Kemensos, 2021). Agar tujuan ini dapat berhasil, maka dibutuhkan sebuah metode yang dapat digunakan untuk pembobotan dan pengurutan setiap komponen yang ada, mulai dari yang paling tinggi hingga rendah yaitu Multi Factor Evaluation Process (MFEP). Multi Factor Evaluation Process (MFEP) merupakan metode perangkingan yang banyak digunakan dalam sistem pendukung keputusan. MFEP merupakan teknik pengambilan keputusan berdasarkan sejumlah kriteria atau faktor yang memiliki nilai-nilai dan setiap kriteria memiliki bobot dengan pertimbangan tingkat kepentingan yang tepat dengan membandingkan kriteria lainnya. Variabel yang digunakan dalam penelitian ini adalah jenis penerima, pendapatan rumah tangga, anak sekolah, luas rumah, jenis dinding rumah, penyandang disabilitas, sumber air dan jumlah tanggungan. Kesimpulan penelitian ini adalah dengan dibangunnya sistem pendukung ini, dapat membantu Dinas Sosial Kota Binjai dalam menentukan penerima Program Keluarga Harapan (PKH) serta penggunaan metode MFEP dalam sistem pendukung keputusan penerimaan PKH meningkatkan akurasi dalam menentukan calon penerima yang layak. Metode ini mampu mengolah berbagai kriteria yang telah ditetapkan, sehingga hasil keputusan lebih objektif dan adil dibandingkan dengan penilaian manual.

Page 5 of 13 | Total Record : 122

 3   4   5   6   7 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 1 (2026): Januari : Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 3 (2025): Juli: Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 2 (2025): April : Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli: Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 2 (2024): April : Saturnus : Jurnal Teknologi dan Sistem Informasi