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INDONESIA
Jurnal Sistim Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 26863154     EISSN : -     DOI : https://doi.org/10.35134/jsisfotek
Core Subject : Science,
Computer Science & IT
Jurnal JSisfotek (Jurnal Sistem Informasi dan Teknologi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 72 Documents
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Sistem Pendukung Keputusan Program Kerja Pengawasan Tahunan Menggunakan Metode Simple Additive Weighting (Studi Kasus di Inspektorat Kabupaten Rokan Hulu) Gunawan, Indra; Santony, Julius; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.33

Abstract

The Annual Supervision Work Program (ASWP) is a measure of efficiency and effectiveness in implementing supervision in supporting Inspectorate performance. For the preparation of this ASWP using a Risk-Based Supervision Planning (RBSP) based on certain criteria. Decision Support System (DSS) is a system used to determine alternative ASWP to be implemented. The criteria are determined using the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find the total weighting of the performance rating for each alternative. Testing is done from ASWP alternative normalized according to the type of attribute criteria (benefit or cost). The final result is obtained from the calculation process, namely from the 10 test data there is 80% compatibility of the data from the system calculation. The sum of the normalized matrix with weights per criterion shows an alternative ranking of the regional apparatus organization that is closest to the criteria to the most distant from the criteria. In order to get an alternative ASWP to be implemented.
Penerapan Algoritma K-Means Clustering untuk Melihat Hubungan Kegiatan Tahfiz dengan Hasil Belajar (Studi Kasus Madrasah Aliyah Negeri 1 Bukiktinggi) Hidayad, Asri; Defit, Sarjon; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.34

Abstract

The purpose of this study is to evaluate whether Tahfiz activities and learning outcomes are effective or not. The data processed in this study were data on tahfiz activities and data on student learning outcomes in class XI (eleven) totaling 42 data sourced from memorization of tahfiz, tahfiz grades, and student grades in Madrasah Aliyah Negeri 1 Bukittinggi. Based on the analysis of the data, this classification uses one of the methods of the Data Mining algorithm, K-Means Clustering. K-Means Clustering algorithm works based on the grouping method, In this data mining technique consists of data testing and training data with the input of the number of memorization of tahfiz, and the value of tahfiz as well as learning outcomes. The results of this study the school can determine how influential this activity tahfiz on student grades.
Sistem Pendukung Keputusan untuk Menentukan Praja Terbaik Menggunakan Metode Simple Additive Weighting (Studi Kasus Institut Pemerintahan Dalam Negeri Kampus Sumatera Barat) Nurdin, Yogi K; Defit, Sarjon
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.35

Abstract

The Institute of Domestic Administration (IPDN) of the West Sumatra Campus is a tertiary institution attended by students from all over Indonesia. This activity is a mandatory activity for all cadets and must be followed every semester. Values ​​determine the graduation of a cadet in his education. For this reason, a good system is needed in determining the value. This study aims to find effective and appropriate values ​​in each service. The method used is Simple Additive Weighting for data that determine ranking. The results of this study have an accuracy of 85% of the ranking data manually to the test data. Thus, this system is more effective in the search process and ranking accuracy. Then this research is a system that can be used as a reference in ranking the best value of welfare.
Sistem Pakar dalam Identifikasi Kerusakan Gigi pada Anak dengan Menggunakan Metode Forward Chaining dan Certainty Factor Dian, Rahmad; Sumijan, Sumijan; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.36

Abstract

Tooth decay in children is one of the most common problems found. This damage has a long-term effect on children's dental health. The limitation of expert doctor's service hours and the disproportionate number of doctors and patients makes the service to patients not optimal. Then we need an expert system to help the role of expert doctors in diagnosing tooth decay. One of them carried out treatment or prevention measures from the start. In this study forward chaining and certainty factor methods are used, in which this expert system can assist an expert in diagnosing tooth decay based on the symptoms experienced by the patient. The forward chaining method will be collaborated with the certainty factor method to calculate the accuracy of the type of tooth decay experienced. The use of these two methods aims to provide better results in overcoming or preventing tooth decay in children. From the test results obtained knowledge for patients in dealing with or preventing tooth decay with an accuracy rate of 91.20%. The application of an expert system can be used for early action in overcoming or preventing tooth decay in children.
Sistem Pakar dalam Identifikasi Kerusakan Gigi pada Anak dengan Menggunakan Metode Forward Chaining dan Certainty Factor Dian, Rahmad; Sumijan, Sumijan; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.36

Abstract

Tooth decay in children is one of the most common problems found. This damage has a long-term effect on children's dental health. The limitation of expert doctor's service hours and the disproportionate number of doctors and patients makes the service to patients not optimal. Then we need an expert system to help the role of expert doctors in diagnosing tooth decay. One of them carried out treatment or prevention measures from the start. In this study forward chaining and certainty factor methods are used, in which this expert system can assist an expert in diagnosing tooth decay based on the symptoms experienced by the patient. The forward chaining method will be collaborated with the certainty factor method to calculate the accuracy of the type of tooth decay experienced. The use of these two methods aims to provide better results in overcoming or preventing tooth decay in children. From the test results obtained knowledge for patients in dealing with or preventing tooth decay with an accuracy rate of 91.20%. The application of an expert system can be used for early action in overcoming or preventing tooth decay in children.
Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning Rahman, Harif A
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.67

Abstract

Laptop is an electronic device that is very widely used today, so the damage to this tool is the most frequently found case. Very many laptop users do not understand the type and level of damage. So researchers conducted this research in making it easier for users to detect laptop damage earlier. This study uses an Expert System that functions as a substitute for experts as a media consultation. The method used is Case Based Reasoning of laptop damage data on Lutfi Computer. The results of this study can detect damage more quickly and precisely in helping users to find the right solution to overcome the damage. So this research is very helpful for laptop users in general in overcoming early on accurately, so users can determine an accurate solution in dealing with damage to their laptops.
Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW Juansen, Monsya; Defit, Sarjon; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.68

Abstract

Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.
Prediksi Tingkat Penerimaan Lulusan Siswa Kejuruan dalam Dunia Usaha dan Industri Menggunakan Metode Monte Carlo Iftitah, Hasanatul; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.71

Abstract

Vocational High School (SMK) Negeri 4 Kota Jambi is one of the favorite vocational schools in Jambi City which is also the only pure tourism vocational school in Jambi Province. SMK Negeri 4 Kota Jambi has several vocational majors, namely culinary, beauty, fashion and hospitality. In general, students who choose to attend vocational schools have the hope of being able to work immediately after graduating from school, they do not need to continue to study to be able to work. In this study, researchers will predict the level of acceptance of students from SMK Negeri 4 Kota Jambi in the business and industrial world using the Monte Carlo method. Monte Carlo is a method that can find values ​​that are close to the actual value of events that will occur based on the distribution of sampling data. The technique of this method is to select random numbers from the probability distribution to perform the simulation. The data used in this study is the data of students from SMK Negeri 4 Kota Jambi who worked from the 2015/2016 Academic Year to the 2018/2019 Academic Year. Furthermore, the data will be processed using the Monte Carlo method. The simulation will be implemented using PHP programming. The result of this research is the level of prediction accuracy of students of SMK Negeri 4 Kota Jambi who are accepted in the business and industrial world using the Monte Carlo method is 84%.
Simulasi Algoritma Monte Carlo Dalam Memprediksi Tingkat Hafalan Al-Qur’an Santri M, Mutia; Nurcahyo, Gunadi Widi; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i4.72

Abstract

Islamic boarding schools are known to be able to give birth to the Qur'an's tahfidz. With the memorization program, the halaqah about the basic text of the religion makes the Islamic boarding schools increasingly known to the community as an educational institution and a strong milestone of religious knowledge that can bring blessings. The purpose of this study was to predict the level of rote learning of the students at the Tahfiz Lan Tabur Pagaralam Islamic Boarding School. Thus, it is easier for Islamic boarding schools to take strategies to improve the quality of students themselves. The data processed in this study are data sourced from the Natural Boarding School of Tahfiz Al-Qur’an Lan Tabur Pagaralam. Based on the number of students who memorized the Al-Qur'an or Tahfidz in the 2017 to 2019 class which is processed by Monte Carlo algorithm simulation. The processing step is to bring up a random number from the sampling data that has been taken. The results of testing on this method found that the system used to predict the level of memorization of the Al-Qur'an with an average accuracy of 84% in 2018 and an average accuracy of 88% in 2019. With a high degree of accuracy, simulations performed using the Monte Carlo algorithm can predict the number of students memorized by the Qur'an, making it easier for Islamic boarding schools to obtain information about the likelihood of future events at the level of memorization of students at Islamic boarding schools Alam Tahfiz Al-Qur’an Lan Tabur Pagaralam.
Prediksi Tingkat Pemahaman Siswa terhadap Data Nominatif Menggunakan Metode Monte Carlo Suhaidir, Lc Granadi; Sumijan, Sumijan; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i3.73

Abstract

Kerinci Regency which was established on November 10, 1957 from the results of the division of 3 provinces, namely West Sumatra Province, Riau Province, Jambi Province. The district which is nicknamed the City of Sakti Alam Kerinci has a population of 253,258 people with an area of ​​3,808 km and consists of 16 sub-districts. So that training, technology, and improving Maunisa Resources are needed in various aspects of Kerinci society. Determine the level of accuracy of the Monte Carlo method simulation between the simulation results and the real data. In this study, the main data used were data for 2017, 2018 and 2019. The variable used in this study was the frequency of student scores in participating in learning. The value data will be processed using the Monte Carlo method assisted by Microsoft Excel for manual search. Student grade data for 2017 is used as trial data to predict in 2018, data for 2018 is used as trial data to predict the number of 2019, and data for 2019 will be used to predict the number in 2020 later. Where the highest prediction result is 96% where there are several competencies that have the same value. So that the average resulting from the predicted accuracy is 95% of the 7 competencies. The test results have clearly formed the boundaries. With an accuracy rate of 95%, it can be recommended to help the UPTD Kerinci District Work Training Center in predicting the level of understanding of students.

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