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<![CDATA[Sistem Pakar Penentuan Asesmen Keperawatan Kardiovaskular Menggunakan Metode Certainty Factor Berbasis Web ]]>
<![CDATA[Ivan Ubaidillah Sekar Wibowo]]>;
<![CDATA[Latifah Rifani]]>;
<![CDATA[Wiwin Agus Kristiana]]>;
<![CDATA[Aryo Nugroho]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5563
<![CDATA[Today's nurses are in charge of helping the performance of a doctor and interacting more directly with a patient. Patients who come to health facilities have different health problems, including those with the cardiovascular system. When there is a disturbance or blockage in the two parts of the body, it will interfere with blood circulation in the patient's body and cause a dangerous impact on the patient. However, it is not uncommon for a nurse to make mistakes in concluding a diagnosis due to a lack of focus. Therefore, one of the applications of technology in the world of health is applying artificial intelligence technology to help nurses determine the diagnosis accurately. With the Certainty Factor method, the nurse will determine the diagnosis based on subjective and objective data. The use of Forward Chaining algorithms to analyze thoughts and decide on this system will later predict whether a patient is diagnosed with a cardiovascular system. In addition, the use of the Laravel framework makes this system web-based, which is certainly easy to operate by all nursing personnel and is accurate in helping the diagnosis process to patients.]]>
<![CDATA[Master Plan of local E-government for Village Office Information System Refer to Ministerial Regulations on Work Procedures ]]>
<![CDATA[Meme Susilowati]]>;
<![CDATA[Yudhi Kurniawan]]>;
<![CDATA[C Lenny]]>;
<![CDATA[Wedha Adistianaya Dewa]]>;
<![CDATA[Moh Ahsan]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5579
<![CDATA[This article contains a local e-government master plan with a case study in a village in Malang district. The master plan referred to the Ministerial regulation regarding the Organizational Structure and Work Procedure of Village Administration. This research method will begin with data gathering (literature study, observation, interview), analysis of SRS (Software Requirement and Specification) documents for synchronization with division of work tasks, creating focus groups, making Master Plan. This article also will present a focus group diagram on the division of labour results based on the 2015 ministerial regulation. Then proceed with a master plan diagram based on the requirement of the actor system in the village office. Namely the village head, village secretary, 3 heads of affairs (administration, finance, planning) and a section head. This article will present 13 names and descriptions of applications needed to support the administrative system at the village office. This article also provides 58 tables needed for a Master Plan of Local E-government for village office information system refer to ministerial regulations on work procedures]]>
<![CDATA[Segmentasi Perilaku Belajar Mahasiswa Selama Masa Pandemi Covid-19 Berbasis K-Means ]]>
<![CDATA[Fitri Marisa]]>;
<![CDATA[Anastasia Lidya Maukar]]>;
<![CDATA[Husri Sidi]]>;
<![CDATA[Rivaldo Tito Lamberto Da Silva]]>;
<![CDATA[Widiya Nur Permata]]>;
<![CDATA[Achmad Aziz Wahdana]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5843
<![CDATA[Since the Covid-19 virus pandemic which has the long name Corona Virus Disease-19 hit in many countries, which is Indonesia, their government is currently making various efforts and steps to prevent the transmission of the Corona virus in our homeland by avoiding crowds, Therefore, the government carried out instructions to deal with the crowd by closing or resting or carrying out all activities from home, this method was to avoid the spread of Covid-19. This study use the K-Means Clustering method. The purpose of making this journal is to find a solution to evaluate the existing online learning system based on Student Learning Behavior Segmentation During the K-Means-Based Covid-19 Pandemic. Survey technique will be used in this research, a survey is used to obtain data or information from a number of respondents regarding the existence of an issue or topic. The data is obtained from filling out questions that have been shared with all respondents through a google form which will be processed later. The data that has been collected based on the data will use effective clustering regarding online learning in 4 clusters. The researchers report that the K-Means algorithm can be used to detect patterns from the data. Segmentation of student learning behavior during the Covid-19 pandemic based on K-Means based on the levels of "very good", "Good", "enough", "Poor", "very poor" on Student Learning Behavior During the Covid-19 Pandemic based K-Means.]]>
<![CDATA[Perbandingan Hasil Performa Optimasi Transposisi Hill Cipher dan Vigenere Cipher pada Citra Digital ]]>
<![CDATA[Bayu Firmanto]]>;
<![CDATA[Devita Putri Kusuma Ningrum]]>;
<![CDATA[Arief Bramanto Wicaksono Putra]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5931
<![CDATA[The security system is one of the crucial factors in sending data. Cryptography is a security system with a working system that converts data into passwords that are difficult to understand. This studycompares the results of the transposition optimization performance on the classic algorithm, Hill Cipher andVigenere Cipher. This research aims to find out the best algorithm suitable for the transposition technique and improve the image encryption results. Optimization performance is assessed visually and tested using the Discrete Cosine Transform (DCT) method, then testing the encrypted image using the MSE methods. Thisstudy used three image samples with PNG format measuring 200 * 200 and 220 * 220 pixels. The average value in the first image sample of the original Hill Cipher algorithm and with transposition optimization is 24.79% and 24.77%. The original Vigenere Cipher algorithm and transposition optimization, respectively, are 26.54% and 26.75% in the image. It shows that transposition optimization is more suitable to combine with the Vigenere Cipher algorithm because randomness increases.]]>
<![CDATA[Perancangan Warehouse Management System Berbasis IOT Pada PT. Agility Internasional ]]>
<![CDATA[Bayu Saputra]]>;
<![CDATA[Richardus Eko Indrajit]]>;
<![CDATA[Erick Dazki]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5900
<![CDATA[The process management of goods contained in PT Agility International's warehouse do manually, where each employee will enter item SKU data into the enterprise resource planning system. The recording process takes a long time and requires many workers who have to do the work. Recording the goods will include the processing entering the warehouse (inbound), monitoring the number is good in the warehouse system, and the process of goods leaving the warehouse for the delivery process. By utilizing the RFID tag in each item used as the serial number of the item, this study will apply the Internet of Things technology to automate the management system in the PT warehouse. Agility International. The process of reading data from each RFID tag that is in each item will later utilize an RFID UHF Reader device with a data reading radius of around 10 meters. With this, the process of recording incoming goods (inbound), asset monitoring, and recording goods that will come out of the warehouse can do automatically. It is undoubtedly very beneficial for the sustainability of existing business processes in a warehouse.]]>
<![CDATA[Analisis Quality Of Service (QoS) Pada Jaringan Internet (Studi Kasus: Kebun Raya Purwodadi – BRIN) ]]>
<![CDATA[Aldiansa Kautsar]]>;
<![CDATA[Rachmawan Adi Laksono]]>;
<![CDATA[Heri Apriyanto]]>
<![CDATA[ SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v8i1.6503
<![CDATA[A good network service must pay attention to the services provided to its users. When you want to build a network, the main factor that should be considered is Quality of Service (QoS). QoS is a method for measuring how good the quality of a network service is. The QoS parameters are throughput, packet loss, delay, and jitter according to the Telecommunications and Internet Protocol Harmonization Over Network (TIPHON) standard. Purwodadi Botanical Gardens uses an Internet Service Provider (ISP) from PT Indonesia Comnets Plus (Icon +) and the leased bandwidth is 20 MBps. The Purwodadi Botanical Gardens provides many hotspot networks to make it easier for employees to do their jobs. Therefore, measurements are needed to find out how good the quality of the network services provided is. The measurement results from QoS at several hotspots in Purwodadi Botanical Gardens get results with a throughput value of "127,146 bps", packet loss of "0.0865%", delay of "0.0125 ms", and jitter of "0.0075 ms". It can be concluded that the network service quality at the Purwodadi Botanical Gardens according to the TIPHON standard is in the "Excellent" category]]>
<![CDATA[Prediksi Kelulusan Mahasiswa Menggunakan Support Vector Machine Berbasis Particle Swarm Optimization ]]>
<![CDATA[Iddrus Aljufri]]>;
<![CDATA[Hartarto Junaedi]]>
<![CDATA[ SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v8i1.6879
<![CDATA[One of the criteria for a good accreditation grade must be to meet the student's timely graduation rate. The punctuality of students is still a crucial problem in several universities in Indonesia. Many factors cause students to fail to complete their studies on time. Student data owned by the university can be processed using data mining techniques to become useful information for this graduation problem. Based on these problems, research was conducted for student graduation using the Support Vector Machine (SVM) based on Particle Swarm Optimization (SVM+PSO). The test results obtained in this study are the linear SVM Kernel Model Accuracy of 95.91%, the RBF Kernel SVM Model Accuracy of 95.91% and the Polynomial SVM Kernel Model Accuracy of 96.20%. Meanwhile, the SVM+PSO Merger Model increased the Linear Kernel's accuracy to 96.12% (+ 0.21) and the RBF Kernel to 96.24% (+ 0.33) but experienced a decrease in the accuracy of the Polynomial Kernel to 96.12%. (- 0.08).]]>
<![CDATA[Penerapan Algoritma Naïve Bayes Classifier dan Fungsi Gaussian Untuk Penentuan Penjurusan Siswa Kelas X ]]>
<![CDATA[Nilam Ramadhani]]>;
<![CDATA[Zainollah Effendy]]>;
<![CDATA[Irwan Darmawan]]>
<![CDATA[ SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v8i1.6996
<![CDATA[Penjurusan pada siswa kelas X perlu dilakukan oleh pihak sekolah. Untuk mengoptimalkan hal tersebut perlu dilakukan langkah-langkah yang dapat membantu pihak sekolah dalam menentukan jurusan siswa. Pendekatan yang bisa dilakukan adalah dengan menerapkan algoritma Naïve Bayes Classifier dan Fungsi Gaussian.Dataset yang digunakan sebanyak 100 record,terdiri dari atribut nilai mata pelajaran Matematika,Fisika,Biologi, dan Kimia. Atribut target atau class yaitu jurusan IPA dan IPS. Dari dataset tersebut ada 47 record yang terdapat pada class IPA dan 52 record. Dari hasil implementasi algoritma Naïve Bayes Classifier dan fungsi Gaussian,dapat ditentukan class jurusan pada data uji yang dimasukkan. Hasil klasifikasi tersebut bisa dijadikan bahan pertimbangan bagi pihak sekolah untuk membantu dalam proses penjurusan siswa.]]>
<![CDATA[Pengembangan algoritma sederhana Kardiotokografi untuk Baseline Denyut Jantung Janin (DJJ) Menggunakan Matlab ]]>
<![CDATA[Ariep Jaenul]]>;
<![CDATA[Dewi Rahmawati]]>;
<![CDATA[Shahad Alyousif]]>
<![CDATA[ SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v8i1.7190
<![CDATA[Interpretation of Cardiotocography (CTG) performed using a computer can assist the interpretation made by obstetricians. The main objective of this study was to develop a simple algorithm for the development of baseline Fetal Heart Rate feature extraction based on RCOG guidelines. The proposed algorithm was developed using the Matlab application. The results obtained showed that the baseline fetal heart rate feature classification got very good results and was validated by the interpretation obtained from the obstetrician.]]>
<![CDATA[Implementasi Metode AHP-TOPSIS Dalam Menentukan Prioritas Perbaikan Jalan di Kabupaten Malang ]]>
<![CDATA[Refal Ade Pratama]]>;
<![CDATA[Wahyudi Harianto]]>
<![CDATA[ SMARTICS Journal Vol 7 No 2: SMARTICS Journal (Oktober 2021) ]]>
Publisher : <![CDATA[Universitas PGRI Kanjuruhan Malang ]]>
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DOI: 10.21067/smartics.v7i2.5649
<![CDATA[Indonesia as a developing country makes Indonesia prioritize infrastructure development. One of them is the highway. The provision of good road infrastructure is very important especially in Malang Regency. Programs for road repair and maintenance are often not well targeted, of course this can be detrimental, especially to the budget provided by the government. In this case, the government must have a system to determine road repair priorities. There are 5 criteria in consideration of decision making, namely 1) the percentage of good, 2) the number of sub-districts traversed, 3) access to roads, 4) daily traffic and 5) the number of residents per sub-district. The methods that can be used in the decision support system are Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). These methods will be combined where AHP is used for the weighting of the criteria and TOPSIS for the ranking of alternatives. In the calculations carried out by the system that has been successfully designed and built, the system has functioned properly and can determine road repair priorities based on alternative rankings.]]>
