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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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Sistem Pendukung Keputusan dengan Metode Profile Matching dalam Mengidentifikasi Gejala Awal Penderita COVID-19 Jelviana Risa
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.286 KB) | DOI: 10.37034/jsisfotek.v5i2.169

Abstract

The COVID-19 pandemic has not yet subsided, this outbreak has spread to almost all countries in the world, the initial symptoms of sufferers caused by acute respiratory distress coronavirus 2 (SARS-CoV-2). Symptoms of COVID-19 that can be transmitted from human to human, when one person is exposed to signs of a contagious COVID-19 occurring in the community is not the right attitude and action but panic and worry. The initial symptoms of COVID-19 have criteria that identify the initial symptoms of COVID-19, which are 10 (ten) criteria consisting of fever, cough and sore throat, fatigue, loss of smell and taste, joint and muscle pain, headache, diarrhea, shortness of breath. breath, nausea, vomiting, and nasal congestion. The purpose of this study was to identify the early symptoms of COVID-19 sufferers. This research was conducted through processing data on COVID-19 patients sourced from UPT Puskemas VI Koto Selatan, based on the results of the identification of symptoms of COVID-19 in patients carried out by health workers on duty at UPT Puskesmas VI Koto Selatan, then the data was processed using Support System Software. The decision to know the early symptoms of COVID-19. Furthermore, mathematical calculation techniques are also used to see the accuracy results. The method used to determine the initial symptoms in patients with COVID-19 is the Profile Matching method. The results of this study there were 6 patients from 8 test data that had the same decisions generated by the system, therefore the conclusion from this study was the results of the Decision Support System testing that had been carried out in identifying the initial symptoms of COVID-19 sufferers at UPT Puskemas VI South Koto overall there are 75% of patient data indicated by COVID-19 and 25% of patient data not indicated by COVID-19
Data Mining Tingkat Kepatuhan Pasien Tuberkulosis dalam Menjalani Pengobatan Mengunakan Agloritma C4.5 Muhammad Ridho; Della Zilfitri; Felka Andini; Yosep Filki
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.752 KB) | DOI: 10.37034/jsisfotek.v5i2.170

Abstract

The high number of TB cases in the work area of ​​the Bukittinggi City Health Service Puskesmas Nilam Sari. The number of patients who do not comply with TB treatment. This study was conducted to determine the level of patient compliance in undergoing TB treatment so that the results of the study become input for medical personnel in charge of TB at Nilam Sari Health Center in policy making. The C4.5 method was used in this study to classify the data of compliant and non-adherent TB patients in undergoing treatment at the Nilam Sari Health Center. The data from TB patient visits to the Puskesmas were analyzed using the C4.5 method to obtain new knowledge from the TB patient visit data to the Puskesmas. The data analyzed consisted of attributes of the visit schedule, environmental distance, age which influenced the decision criteria for the level of adherence of TB patients in undergoing treatment at the Nilam Sari Health Center. The decision criteria for the results of TB patient visits consist of "Complied" and Non-Complied" which refers to the decision criteria for the TB patient's visit schedule. Tests conducted on the training data of the visit schedule of the attribute that most influence the decision on the level of adherence of TB patients in undergoing treatment. The implementation of the results using Weka 3.6.9 software and produces an accuracy of compliant patients of 13.4615% and accuracy of non-adherent patients of 86.5385%. The results of the classification method C.4.5 were greater in patients who were not compliant than patients who were obedient in undergoing TB treatment at the Nilan Sari Health Center. The test results have been able to help medical personnel in the Bukittinggi City Health Office work area in undergoing treatment to be able to make a policy for handling TB cases in the future.
Metode K-Means Clustering dalam Optimalisasi Kinerja Dosen Pendamping Akademik pada Program Kampus Merdeka Siti Fathuroh
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.949 KB) | DOI: 10.37034/jsisfotek.v5i2.172

Abstract

Penelitian kinerja terhadap Dosen Pendamping Akademik (DPA) pada pelaksanaan Program Kampus Merdeka dilakukan setiap semesternya, dan masih mengolah data penilaiannya pendamping akademik secara manual yang mana dalam mengevaluasi tingkat kinerja pendamping akademik tersebut membutuhkan waktu yang cukup lama untuk mendapatkan hasil yang baik. Data penilaian kinerja pendamping akademik di peroleh dari Sekolah Tinggi Keguruan Ilmu Pendidikan Muhammadiyah Muara Bungo Kabupaten Bungo Provinsi Jambi. Data Dosen di ambil sebanyak 28 data, selanjutnya data penilaian tersebut diolah dengan metode K-Means dan diuji dengan Software RapidMiner. Proses yang digunakan untuk mengolah data Input dan teknik Clustering dengan algoritma K-Means. Kebutuhan input sistem yang dibangun membutuhkan input, yaitu : data penilaia kinerja Dosen Pendamping Akademik (DPA). Hasil penilian Kinerja Dosen Akademik (DPA) dengan metode ini membagi tiga kelas hasil penilaian, dan dengan perkiraan hasil yaitu kinerja sangat baik 43%, Kinerja baik 50% dan kinerja buruk 7% dan tingkat keberhasilan sampai 92% dengan mengguakan metode ClusteringI dan Algoritma K-Means dapat membatu pengambilan keputusan Kepala Biro Pendidikan Sekolah Tinggi Keguruan Ilmu Pendidikan Muhammadiyah Muara Bungo untuk membuat rekomendasi penilaian inerja Dosen terhadap mahasiswa di semester selanjutnya.
Optimalisasi dalam Seleksi Bibit Kelapa Sawit Unggul Menggunakan Metode TOPSIS Ahmad Rafi Rusydi
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.656 KB) | DOI: 10.37034/jsisfotek.v5i2.173

Abstract

The quality of palm oil that will be produced from oil palm has a great influence on the type of oil palm seeds planted. The process from the maintenance of oil palm, to the process of processing palm oil into palm oil. The purpose of this research is to build a decision support system that can assist in the selection of superior oil palm seeds based on the website. The method used is Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) which is a multi-criteria decision-making method. The principle of this method is that the chosen alternative must have the closest distance to the positive ideal solution and the farthest distance to the negative ideal solution. In this method, you can choose or make decisions by determining the weighting value for each attribute and then proceed with a ranking process that will provide the best alternative from one with the alternative with the highest priority value. This method provides an ideal solution for farmers in making decisions about which superior oil palm seeds to plant. The processed data is divided into 3 varieties, namely Dura, Pisifera, and Tenera. Each variety has different characteristics. The results of the research can be ranked correctly as a reference in determining decision making in the selection of the best seeds. This research can be used as a recommendation in the calculation for the selection of superior oil palm seeds.
Data Mining Performance Assessment of Regional Development Planning Agency Employees Using Bayesian Classifier Algorithm Nurfiah; Khairul Zaman
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.74 KB) | DOI: 10.37034/jsisfotek.v5i2.175

Abstract

Performance is the success or work achievement of a person or group in an organization in completing work. Performance is the goals and targets given, performance appraisal is carried out. The results of employee performance consist of two, namely good or bad. These results are used as indicators in making decisions for giving rewards or punishments. This study aims to measure the level of employee performance with targets very good, good, quite good, less good and bad. The data used in this study is employee data. The assessment criteria are the results of the best employee assessment at the Regional Development Planning Agency in June 2022. The method used in determining employee performance is the Bayesian Classifier Algorithm. This algorithm uses the concept of classification. The data that is processed is first classified and followed by the analysis process in producing employee performance. This study uses training data as many as 43 records then the assessment is used as testing data. The results of the analysis of employee performance appraisal using the Bayesian Classifier Algorithm that the algorithm succeeded in classifying employee performance in accordance with the objectives of this study very well.
Sistem Pendukung Keputusan Penerima Program Keluarga Harapan (PKH) dengan Metode Simple Additive Weighting (SAW) Lisa Riyanti; Gunawan Ali; Amril
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 | DOI: 10.37034/jsisfotek.v4i4.177

Abstract

The Family Hope Program (PKH) is a program for providing conditional assistance to Beneficiary Families (KPM) who are designated as PKH beneficiary families. This PKH program provides cash assistance to very poor households (RSTM) that meet the requirements and are related to efforts to improve the quality of life in the fields of education and health. However, in the management of PKH data, several problems were found, such as in the distribution aspect. In the distribution aspect, it is often found that the distribution of PKH is not right on target or the distribution of PKH to families who do not deserve this PKH program. Various efforts have been made to overcome these problems, one of which is by making a decision support system using the Simple Additive Weighting (SAW) method. The decision support system with the SAW method can provide recommendations or support to determine the right PKH recipients. The SAW method is a weighted addition method, which is looking for a weighted sum of ratings for each alternative on all attributes/criteria. The result of the total score obtained for an alternative is by adding up all the multiplication results between the ratings compared across attributes and the weight of each attribute. The Decision Support System for determining PKH recipients using the SAW method provides the right results. The alternative is the highest order to have a good score on the criteria that have the highest importance and is very precise with real data so that the distribution of PKH is right on target.
Prediksi Voltage Stability Index (VSI) Metode Artificial Neural Network (ANN) untuk Mendeteksi Tegangan Jatuh Dimas Fajar Uman Putra; Aji Akbar Firdaus; Novian Uman Putra; Ontoseno Penangsang
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 | DOI: 10.37034/jsisfotek.v4i4.180

Abstract

Voltage stability analysis is needed in the planning or operation of electric power systems. This will have an impact on decreasing the system voltage and result in a voltage collapse and will be fatal resulting in a partial or total system blackout. If there is a change in load on a line, it can cause a decrease in the voltage profile. Predicting the value of additional load on a bus based on a voltage stability analysis can be done to detect the occurrence of a voltage drop. There are various methods for analyzing voltage stability, one of which is the point of voltage instability which can be determined using the Fast Voltage Stability Index (FVSI) method. Artificial Neural Network (ANN) is chosen in this problem to predict the value of the additional load.
Perbandingan Algoritma Simple Sorting antara Penggunaan Variabel Temporary dan Tanpa Variabel Temporary Achmad Arrosyidi; Didiet Anindita Arnandy
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 | DOI: 10.37034/jsisfotek.v4i4.185

Abstract

Temporary variables used in swapping technique on sorting algorithm. There are alternative swapping techniques uses pairs of + and -, × and / operators in the sorting process. This study aims to determine the duration of the sorting process uses the + and - operator pairs, the × and / operator, and the uses of temporary variables. By knowing the duration, it can determine the performance of each swapping technique. Important of this research it can contribute for advanced research or applied research. Data generated input algorithms in descending and ascending sequence. The input was sorted by 18 types of Bubble, Selection, and Insertion sort algorithm. Output sequence contrary from the data input. Duration sorting process obtained from the end processed time subtract by the start processed time. Sorting duration recapitulated to get the average duration of the sorting process so can be compared between swapping techniques. The test method has run 18 types of Simple sorting algorithms from 10, 50, and 100 data variants. frequency of each variant 10 times tests. The total data used 28,800 of integer types. Result of the average duration test that swapping uses × and / operators 306,236 milliseconds uses + and - operators 294,998 milliseconds, and swapping technique with temporary variables 294,557 milliseconds. The best performance showed by swapping technique uses temporary variables instead of uses pair of + and – operators, also used pair of × and / operators.
Sistem Presensi Online Pegawai dan Dosen Berbasis Web Stevani Veren; Renny Puspita Sari; Ferdy Febriyanto
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.195

Abstract

Sistem informasi semakin berkembang saat peningkatan teknologi, salah satunya yakni sistem presensi. Presensi merupakan pendataan kehadiran dalam suatu institusi ataupun perusahaan. Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tanjungpura (FMIPA Untan) menggunakan mesin fingerprint untuk melakukan presensi kehadiran pegawai. Pegawai dan Dosen melakukan presensi masuk dan presensi pulang. Penggunaan mesin fingerprint memiliki beberapa kelemahan misalnya mesin rusak ataupun sensor tidak berjalan dengan baik. Penelitian ini bertujuan untuk merancang bangun sistem presensi berbasis website yang dapat memudahkan pegawai dan dosen dalam melakukan proses presensi. Metode yang digunakan sebagai acuan pengembangan sistem adalah grounded research yaitu suatu metode penelitian yang berlandaskan dari fakta-fakta yang ada dan memiliki tujuan untuk menentukan konsep, memperluas teori, mengumpulkan dan menganalisis data dalam rentang waktu yang sama. Penelitian ini telah membuat sebuah sistem presensi online pegawai dan dosen berbasis web yang memudahkan pegawai dan dosen melakukan presensi baik untuk presensi masuk serta pulang, pendataan user dan presensi, serta perekapan laporan presensi. Sistem ini telah dilakukan pengujian fungsional kepada pihak pegawai dan dosen FMIPA Universitas Tanjungpura dan memperoleh hasil sesuai dengan rancangan yang dibuat. Sedangkan pengujian antarmuka sistem memperoleh presentasi sebesar 80%.
Penerapan Natural Language Processing untuk Klasifikasi Bidang Minat berdasarkan Judul Tugas Akhir Ahmad Jimly Hanif; Mifta Nur Farid; Barokatun Hasanah
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.196

Abstract

Teknik Elektro ITK memiliki 5 bidang minat sehingga terdapat berbagai pilihan judul tugas akhir yang dapat diambil oleh mahasiswa tingkat akhir. Beberapa kondisi yang dapat mempengaruhi mahasiswa dalam memilih judul tugas akhir, salah satunya yaitu berdasarkan bidang minat yang diambil oleh mahasiswa tersebut. Pelaksanaan penelitian ini dilaksanakan dengan menggunakan Python software versi 3.9.13, Spyder versi 5.2.2, dan library NLTK. Output pada perancangan sistem ini adalah hasil rekomendasi bidang minat dan dosen pembimbing berdasarkan dari judul tugas akhir. Setelah dilakukan simulasi, diperoleh hasil pengambilan data dari Dataset berisi 100 judul yang digunakan sebagai parameter data testing berdasarkan 5 bidang minat teknik elektro itk. Adapun hasil dari proses pengambilan data yaitu judul tugas akhir bidang minat sistem tenaga didapatkan hasil rekomendasi berupa bidang minat sistem tenaga, teknik komputer, telekomunikasi, sistem pengaturan, dan elektronika. Pada bidang minat sistem pengaturan, didapatkan hasil rekomendasi berupa bidang minat sistem pengaturan dan sistem tenaga. Pada bidang minat elektronika, didapatkan hasil rekomendasi berupa bidang minat elektronika, sistem tenaga, teknik komputer, telekomunikasi, dan sistem pengaturan. Pada hasil bidang minat teknik komputer, didapatkan hasil rekomendasi berupa bidang minat teknik komputer, elektronika, sistem tenaga, telekomunikasi, dan sistem pengaturan. Dan Pada hasil bidang minat telekomunikasi, didapatkan hasil rekomendasi berupa bidang telekomunikasi, sistem tenaga, teknik komputer, sistem pengaturan, dan elektronika. Adapun tingkat akurasi pada aplikasi ini sebesar 86, 8%.

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