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Jurnal Sistim Informasi dan Teknologi
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 26863154     EISSN : 26863154     DOI : 10.37034
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
The Jurnal Sistim Informasi dan Teknologi (JSISFOTEK) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: - Analytics, Business Intelligence, and Decision Support Systems in Computer Information Systems - Mobile Technology, Mobile Applications - Human-Computer Interaction - Information and/or Technology Management, Organizational Behavior & Culture - Data Management, Data Mining, Database Design and Development - E-Commerce Technology and Issues in computer information systems - Computer systems enterprise architecture, enterprise resource planning - Ethical and Legal Issues of IT - Health Informatics - Information Assurance and Security-Cyber Security, Cyber Forensics - IT Project Management - Knowledge Management in computer information systems - Networks and/or Telecommunications - Systems Analysis, Design, and/or Implementation - Web Programming and Development - Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation - E-Learning Technologies, Analytics, Future.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 216 Documents
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Design of a Prototype of Soil Condition Monitoring System Based on Telegram Messenger Bot Muhammad Rizal Mahdifikia; Mifta Nur Farid; Himawan Wicaksono
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.114 KB) | DOI: 10.37034/jsisfotek.v4i3.142

Abstract

Balikpapan City has a moderate level of vulnerability to landslides. This is because the city of Balikpapan has the triggering factors and causes of landslides. The trigger factor is a tropical climate with high rainfall of 2,887 mm/year. While the causative factor is that 85% of the Balikpapan City area consists of hilly areas. Therefore, it is necessary to conduct research monitoring soil conditions. This study uses several sensors such as the MPU6050 sensor, Capacitive Soil Moisture V1.2 sensor, buzzer, and the NodeMcu ESP8266 microcontroller. This prototype acts as an early warning system. The buzzer on the prototype will sound if the landslide hazard condition is identified. In addition, this prototype sends data on soil conditions via the Telegram Messenger Bot on the Telegram Messenger application. The results of data collection when the slope of the soil is 10o to 30o, the condition of the soil does not vibrate, and the soil moisture is dry is that there is no landslide. However, when the slope is 40o to 50o and the soil moisture is dry, the result is a landslide. For the data results when the slope is 10-40o, the soil condition does not vibrate, and the soil moisture is moist, there is no landslide. However, at a slope of 50o and moist soil moisture, landslides occur. For data results with a slope of 10o - 50o, the condition of the soil does not vibrate and the moisture of the wet soil is that there is no landslide. For the data results when water is flowed directly using a water hose at a slope of 10o to 30o and the ground does not vibrate is that there is no landslide. However, at a slope of 40o to 50o, the ground does not vibrate and landslides occur.
Metode K-Means dalam Visualisasi Berbasis Google Map terhadap Klasterisasi Koordinat BTS (Base Transceiver Station) Yosa Oktiviana
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.68 KB) | DOI: 10.37034/jsisfotek.v4i3.143

Abstract

The supervision of the Telecommunication Tower or Base Transceiver Station (BTS) in Kerinci Regency is carried out by the Kerinci Regency Communication and Information Office. Supervision is carried out by monitoring and monitoring all BTS locations in Kerinci Regency. The problem faced by the Supervisory Team is the grouping of BTS based on the proximity of the distance between BTS based on the number of supervisory teams. This study aims to make it easier for the BTS Supervisory Team to carry out supervision by clustering coordinate points based on the proximity of the distance between BTS based on the number of supervisory teams with visualization based on google map. BTS coordinate data is used as a reference point for grouping. The data used in this study is the BTS coordinate point data in 2021, sourced from the E-Government Service Division of the Communication and Information Office of Kerinci Regency. The dataset consists of 78 BTS coordinate points. Data processing in this study uses the clustering method using the K-Means algorithm. The results in this study obtained 3 BTS Clusters, namely Cluster 1 (L2) Near Distance (JD), Cluster 2 (L1) Medium Distance (JM), Cluster 3 (L3) Long Distance (JJ). The results of visualization of the BTS cluster based on google map provide convenience for the BTS supervisory team in conducting surveillance based on the cluster
Sistem Pakar dalam Mendiagnosis Hama Blas dan Kresek pada Tanaman Padi Menggunakan Metode Forward Chaining Guslila Sari Nasution
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.005 KB) | DOI: 10.37034/jsisfotek.v4i4.144

Abstract

Saat ini perkembangan teknologi yang semakin meningkat memberikan pengaruh positif bagi perkembangan kehidupan manusia, termasuk di bidang pertanian. Salah satunya adalah Sistem Pakar yang dapat mentransfer pengetahuan pakar ke dalam aplikasi komputer untuk mempermudah dan mempercepat dalam mendiagnosis suatu kelainan atau penyakit pada tanaman padi. Minimnya pengetahuan tentang hama dan penyakit oleh petani dan terbatasnya jumlah tenaga ahli yang menangani permasalahan tersebut, sangat menghambat petani dalam mencegah permasalahan yang ada, oleh karena itu perlu dibangun Sistem Pakar untuk mengidentifikasi hama atau penyakit pada tanaman Padi di Kabupaten Mandailing Natal. Dengan diterapkannya metode inferensi Forward Chaining pada Sistem Pakar diagnosis hama pada tanaman padi dapat menjadi informasi dan pengetahuan yang akan membantu masyarakat atau individu untuk mengetahui jenis hama dan penyakit apa saja yang menyerang tanaman padi, tanpa harus menunggu dan mengharapkan jawaban langsung dari para ahli. Hasil dari kombinasi tersebut adalah Output berupa solusi hama dan penyakit padi. Sistem Pakar ini akan memudahkan petani untuk mengetahui jenis hama dan penyakit tanaman padi serta cara pengendaliannya. Diharapkan dengan adanya Sistem Pakar ini para petani dapat terbantu dalam menentukan jenis penyakit yang menyerang padi mereka dan dapat melakukan pencegahan agar tidak menular ke tanaman padi lainnya.
Comparative SNR Analysis Between Instrument ADAS1000 and AD620 Tri Arief Sardjono; Hendra Kusuma; Tasripan; Kharis Sugiarto
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.934 KB) | DOI: 10.37034/jsisfotek.v4i3.145

Abstract

The semiconductor technology for a certain function, such as instrumentation amplifier ICs is currently developing very fast, commercially available and can be obtained easily on the market. An instrumentation amplifier is a very important part in the process of data acquisition, especially for biopotential signals from the human body because its amplitude is very small and susceptible to noise interference. The selection of the proper amplifier instrumentation will produce an accurate biopotential signal reading. This paper explains the use of 2 types of instrumentation amplifiers, namely AD620 and ADAS1000, which are used in the design and realization of 12-channel ECG (Electrocardiograph). The performance and noise resistance of the two instrumentation amplifiers are compared and analyzed so that an appropriate instrumentation amplifier can be determined especially in the case of 12-channel ECG applications. 12-channel ECG was chosen because of the complexity of the design and can provide more detailed information as well as to detect the abnormalities heart’s functions. The results shows that 12-channel ECG using AD620 instrumentation amplifier has an SNR value below 12.04 dB, while using the ADAS1000 instrumentation amplifier has an SNR value below 35.5 dB and it is more resistant to noise interference.
Identifikasi Citra Paru-Paru pada Pasien COVID-19 dengan Teknik Edge Detection Marisha Pertiwi
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.281 KB) | DOI: 10.37034/jsisfotek.v4i4.146

Abstract

X-ray chest radiographs produce digital radiographic images of the chest area such as the lungs, heart and ribs. This image can visualize the lung condition of patients with COVID-19. The Edge Detection technique can see the edges of objects in the lungs of COVID-19 patients more clearly. The lungs of patients with COVID-19 are damaged due to the GGO (Ground Glass Opacity) COVID-19, namely there is white fog, the lungs look blurry at the edges or areas affected by the disease and also affect the area of ​​​​the area. This technique can make it easier for health workers to see X-ray results on objects in the lungs of COVID-19 patients and assist doctors in handling COVID-19 patients. With advances in the computer field in the application of image processing techniques, this Edge Detection Technique uses Matlab software to obtain edge and area images of clean lungs in COVDI-19 patients. The data used in this study were 30 samples of lung images of COVID patients and 10 images of healthy patients' lungs as a comparison sourced from Embung Fatimah Hospital Batam, which were processed in the grayscale stage, then the image was preprocessed with Intensity Adjustment then segmented with Active Contour and then using Edge Detection Technique. The results of this study were as many as 22 lung images produced an accuracy value of 73%. The image of the test results with the Edge Detection Technique to identify the edges of the object's lungs of COVID-19 patients which are quite clear by producing white pixels that are so visible. The perimeter of the right lung of COVID-19 patients ranged from 110,897 - 261,254 mm and Area 267,719 - 940,668 mm2, Perimeter of the left lung ranged from 114,613 - 262,943 and Area 170.616 - 856,993 mm2, while healthy patients as comparison had the right lung Perimeter range of 187,598 -270,624 and Area 514,947 - 1025.44 mm2, Perimeter of the left lung 182,226 - 287,358 and Area 480,592 - 901,418 mm2 means that COVID-19 virus infection reduces lung area, the range of COVID-19 lungs is lower than healthy lungs.
3 Phase Synchronous Motor Speed Control System Using PID Control Yun Tonce Kusuma Priyanto; Amalia Rizqi Utami; Muhammad Ridho Dewanto; Dwi Surya Santaki; Dian Wulandari
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.873 KB) | DOI: 10.37034/jsisfotek.v4i4.149

Abstract

Synchronous motor is an alternating current (AC) motor that operates with the prime mover as the initial rotation of the rotor until the rotational speed is equal to the rotational speed of the imaginary poles on the stator. In its application a 3-phase synchronous motor needs to be set in advance so that the resulting speed is stable. In this big task of Electric Motor Control, a speed experiment was carried out on a 3-phase synchronous motor using Mathlab simulation with Siemens motor specifications, namely 50 Hz, 400 V with 16kVA power and 1500 RPM rotational speed using PID control to control the speed of a 3-phase synchronous motor so that it is more stable. From the calculations that have been carried out and the PID tuning that has been carried out, the results show that the PID control can control the motor so as to produce a more stable and efficient speed in the industry
Sistem Pakar Menggunakan Metode Forward Chaining dalam Perawatan Maternal Dedy Saputra Harahap
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.741 KB) | DOI: 10.37034/jsisfotek.v4i4.150

Abstract

Angka Kematian Ibu (AKI) di Indonesia masih tinggi. 76% kematian ibu terjadi di fase persalinan & pasca persalinan, Namun faktor-faktor risiko persalinan terjadi mulai dari fase sebelum & saat hamil (Sumber: EMNC (2019), Riskesdas (2007, 2013, 2018), Berbagai program yang telah dilakukan pemerintah berupaya untuk menurunkan Angka Kematian Ibu, baik secara promotif maupun preventif selama kehamilan dan menjelang persalinan. Perawat berperan penting dalam upaya meminimalkan serta menurunkan Angka Kematian Ibu melalui metode Forward Chaining, Perawat dan ibu hamil harus berperan aktif dalam menemukan gejala dan faktor resiko selama kehamilan. Maternal Emergency Screening (MES) merupakan sebuah rancangan teknologi informasi menggunakan metode Forward Chaining dalam perawatan maternal berbasis web. Untuk merancang sistem pakar dari basis pengetahuan. yang dapat mempermudah ibu hamil dalam mengidentifikasi secara dini faktor resiko dalam kegawatdaruratan kehamilan serta mampu mengambil keputusan layaknya seorang pakar, mengidentifikasi faktor resiko terhadap wanita hamil serta ibu pada masa kehamilan. Menargetkan 16 penyakit masalah kesehatan ibu dan 43 data gejala penyakit. Metode yang digunakan dalam penelitian ini adalah metode Forward Chaining.Penggunaan Maternal Emergency Screening (MES) memberikan peluang sebagai sistem skrining dini dalam menemukan resiko kegawadaruratan kehamilan serta membantu perawat untuk melakukan tindakan perawatan secara tepat dalam rangka menurunkan Angka Kematian Ibu (AKI). Hasil prediksi digunakan untuk pertimbangan dalam pengambilan keputusan, solusi penanganannya sebelum dibawa ke dokter. Sistem pakar dengan metode Forward Chaining berbasis web ini dapat berfungsi sebagai asisten HEWs dan pedoman praktis bagi mahasiswa kedokteran
Classification of Patient Complaints against Patient Medical Record Data Using the K Means Method M Agung Vafky Ideal
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.895 KB) | DOI: 10.37034/jsisfotek.v5i1.151

Abstract

Keluhan pasien merupakan efek dari tubuh yang sedang terjangkit oleh suatu penyakit. Keluhan yang dialami pasien dapat disebabkan oleh beberapa faktor, Faktor penyebab keluhan penyakit pasien seperti faktor internal dan faktor eksternal. Penyakit yang disebabkan oleh faktor internal seperti penyakit yang disebabkan oleh pengaruh gen yang ada pada pasien. Penyakit yang diesebabkan oleh faktor eksternal seperti penyakit yang disebabkan oleh kondisi lingkungan sekitar dari pasien. Mengetahui faktor penyebab keluhan pasien, maka pihak puskesmas dapat melakukan pencegahan suatu penyakit dengan efektif dan memberikan pelayanan kesehatan masyarakat dengan tepat sasaran. Data yang digunakan pada penelitian ini adalah data keluhan pasien yang berada pada data rekam medis pasien. Data rekam medis adalah berkas yang berisikan pencatatan dari biodata dan rincian pelayanan yang telah diterima pasien. Penelitian ini bertujuan untuk menghasilkan kelompok data keluhan pasien dan Mengetahui parameter pada setiap keluhan pasien. klasifikasi keluhan pasien dapat memberikan Analisa dan pertimbangan terhadap penentuan pihak puskesmas dalam memberikan pelayanan kesehatan dan penanganan yang tepat berdasarkan data keluhan pasien. Pada penelitian ini data yang digunakan adalah data keluhan pasien dalam jangka waktu 6 bulan yang terdiri dari 72 kategori keluhan pasien .Data maining adalah suatu cara pengolahan data yang bertujuan untuk menemukan atau menggali informasi dari data yang diolah, salah satu metodenya yaitu metode k means. Metode k-means mengelompokkan data dengan system partisi. Hasilnya adalah melakukan klasifikasi data dengan metode k-means yang menghasilkan kelompok data berdasarkan keluhan sehingga dapat menjadi bahan acuan untuk mengabil keputusan yang lebih tepat dalam penanganan Kesehatan masyarakat. penelitian ini menghasilkan klasifikasi berdasarkan keluhan pasien sehingga pihak puskesmas dapat menemukan pola informasi yang ada pada data dan dapat membantu pihak puskesmas dalam pengendalian penyakit yang ada pada masyarakat.
Optimalisasi Algoritma C4.5 dalam Menganalisis Indikasi Penyebab Penyakit Feline Immunodeficiency Virus (FIV) pada Kucing Muhammad Rozi Alfarabi
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.153 KB) | DOI: 10.37034/jsisfotek.v4i4.152

Abstract

The health of a cat is an aspect and a major concern for someone who maintains it. Cats can be exposed to many diseases, one of which is Feline Immunodeficiency Virus. Feline Immunodeficiency Virus, also known as feline aids, is a disease that attacks the cat's immune system. This virus causes a decrease in the cat's immune system so that cats become vulnerable and susceptible to disease. This disease is difficult to detect because the symptoms are almost invisible. This study aims to explore new knowledge stored in the data list of cats suffering from FIV so that the cause of the disease can be known and how to solve it. The data used in this study were 50 data obtained from the Animal Hospital of West Sumatra with attributes of Body Weight (BB), Body Temperature (ST), Breathing (PN), Appetite (NM), Vomiting (MN), Dental Condition (KG), Feather Condition (KB), Skin Condition (KK) and yield. The data is processed using the C4.5 Algorithm method based on the symptoms experienced by the cat. After processing, the data will produce the entropy value and gain value for each symptom, then the right decision tree is made for cats with FIV disease. The results of this study are new knowledge about FIV disease in cats in the form of a decision tree from the symptoms they experience. The results show that there are 21 rules with the chosen determinant attribute, namely the Skin Condition (KK) attribute with a gain value of 0.398683. This research is useful for the community, especially those who keep cats so that they can be used as a reference in knowing the symptoms experienced by cats if there is an indication of FIV disease.
Identifikasi Masker pada Face Detection dengan Menggunakan Metode Haar Cascade dan CNN Vebri Dores
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.526 KB) | DOI: 10.37034/jsisfotek.v4i4.154

Abstract

The World Health Organization (WHO) provides standard recommendations for the prevention and spread of COVID-19 with the importance of face masks for protection from the virus. Technology can be used to help prevent viruses from spreading quickly through direct contact. Utilizing Internet of Things (IoT) based technology tools for public place entrances can be designed to perform rapid inspections. This can be done using image classification methods, namely Haar Cascade and Convolutional Neural Network (CNN). This study aims to detect masks on the face using the python programming language and input data via a webcam camera. A total of 500 datasets of photos of faces without masks and 500 datasets of photos of faces with masks were used as training data. The test results using the Haar Cascade method have an accuracy of 80% while using CNN the accuracy is 100%. So that this study becomes a reference in identifying obedience in wearing masks.

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