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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi 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 373 Documents
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Sistem Pendukung Keputusan Penentuan Jumlah dan Kualitas Sampah Daur Ulang Menggunakan Metode Weight Product Sahyunan Harahap; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.107

Abstract

The Sanitation Bureau of Panca Budi Univeristas of Development is a place for the utilization and processing of recycled waste, both organic and non-organic waste. In this case, processed recycled waste will get the best quantity and quality. Determination of the amount and quality of recycled waste using the Weihgt Product (WP) method in order to obtain a quality result of recycled waste that has the best quality as needed. Data collection was carried out by interviewing and conducting research in order to obtain data in the form of exel with a sample size of 22. The data that has been collected, processed and analyzed before being used as input and output as a basis for learning or training. Based on calculations using the product weight method, it can be used as a reference in making a decision support system by weighting, multiplying and dividing each alternative. The value of A11 shows the largest value which is the best alternative choice and based on the test data is cardboard waste. So this research is very appropriate in making the right decision to determine the type of quality waste for recycling.
Penentuan Pembelajaran untuk Meningkatkan Hafalan Al-Qur’an Menggunakan Metode MFEP Fauzan Azim; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.109

Abstract

Memorizing the Al-Qur'an is not as easy as expected, but it needs effort and interest in improving the memorization of the Qur'an, because there are still many students from the Modern Diniyyah Islamic Boarding School who are still unable to focus on improving their memorization due to various reasons. , such as a busy schedule of activities, laziness, and other factors. To improve memorization of the Al-Qur'an, there are many methods that can be used, but there are still many students who do not understand the correct method in improving Al-Qur'an memorization. The data processing in this study is qualitative, because this study focuses on the process of identifying appropriate learning in improving the memorization of the Al-Qur'an for students in Islamic boarding schools. Sources of data in the study were obtained from primary data, data were obtained directly from data sources, namely the ustadz who was given the mandate as the person in charge of this program. In addition, the data source in this study is secondary, because the data obtained is in the form of data in the form of documents related to real implementation. Furthermore, the data is processed using the Multifactor Evaluation Process (MFEP) method. MFEP is a method that can be used in decision support systems that use a 'weighting system' and this research uses the VB.NET 2017 programming language and MySQL. The results of the calculation have an accuracy rate of 80%, so this research can be used as a recommendation to improve the memorization of the Qur'an.
Akurasi dalam Mengidentifikasi Talenta Siswa Lanjutan Menggunakan Metode Multifactor Evaluation Process (MFEP) Riski Randa Hidayatullah; Sumijan Sumijan; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.112

Abstract

Talent is a natural ability to acquire knowledge and skills, both general and specific. Basically, each individual has different talents. moreover supported by the appropriate talents, will bring passion and give pleasure in learning or living it. Providing an overview to students of who they are through their talents and interests so that what job opportunities they can initiate after graduating from school are qualitative data related to the research focus, namely the process of identifying student talents in the Educator Room of SMAN 1 Linggo Sari Baganti . There are at least nine intelligences or talents that a person may possess, namely logical mathematical, linguistic / verbal, visual spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, natural, and moral / spiritual. Sources of data in the study were obtained from primary data, namely data obtained directly from data sources, namely the people involved in the process of identifying talents in the Educator Room of SMAN 1 Linggo Sari Baganti. In addition, the data source in this study is in the form of secondary sources, for example in the form of documents related to curriculum implementation. Furthermore, the data is processed using the Multifactor Evaluation Process (MFEP) method. MFEP is a quantitative method that uses a 'weighting system' and this study uses the VB.NET 2017 language program and MySQL. The processing stages are determining criteria, calculations and processes so as to produce decisions. The sum above results, there are 10 students whose data is processed and produces a total calculation or accuracy of 86.51%. So that this research can be a reference in making the right decision at SMAN 1 Linggo Sari Baganti School.
Sistem Pakar dalam Mengidentifikasi Tingkat Keparahan Penyakit pada Tanaman Kelapa Sawit Menggunakan Framework Codeigniter Yunita Cahaya Khairani; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.113

Abstract

Palm oil is an industrial plant that produces oil (both cooking oil and fuel), soap and wax. One of the factors that can reduce the growth and productivity of oil palm is the presence of disease in the oil palm plant. In helping to identify and provide information about oil palm diseases, an Expert System was created to identify diseases in oil palm plants and their handling. The data that is processed in this research is knowledge about disease symptoms in oil palm plants which comes from an expert. The symptom data is processed using an expert system that has been designed and developed using the PHP Framework Codeigniter programming language and MySQL as the database. This system was successfully developed to identify the severity of the disease in oil palm plants and produce 100% accuracy. This system has been able to provide information to farmers about oil palm plant diseases and solutions to overcome them. This research is very suitable to be applied in identifying diseases in oil palm plants, so this research is suitable for use by oil palm farmers.
Akurasi dalam Mengidentifikasi Citra Anggrek Menggunakan Backpropagation Artificial Neural Network Ardia Ovidius; Gunadi Widi Nurcahyo; Sumijan; Roni Salambue
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.115

Abstract

Orchids are ornamental flower plants in the Family Orchidaceae whose habitat is spread over almost all continents in the world, except Antarctica. There are so many orchid enthusiasts in Indonesia and this fact made orchids a promising commodity for ornamental plant cultivator. With a variety of orchid species that reach more than 25,000 species, the identification of orchid species becomes a little complicated for orchid lovers. The purpose of this study was to determine the accuracy level of orchid species identification through image recognition so that it can be used as a reference in determining the feasibility of this method. This study used 120 images of orchids in 6 species. The image of the orchid was obtained by shooting at several locations using the camera. The photo is then processed using image processing software by cropping and resizing to speed up computing time during network training. Furthermore, MatLab software is used to perform the feature extraction process in the form of color feature data and moment invariants. Data from feature extraction is used as input for training artificial neural networks using the Back Propagation method. Calculation of the level of accuracy done by testing the network using the test data that has been provided. The trial results show that 26 of 30 were successfully recognized so that the accuracy rate can be calculated, namely 86.7%. An accuracy rate of 86.7% can be considered feasible and can be used as a basis for consideration of using this tested method as the right method for identifying orchids through images.
Prediksi dan Klasifikasi Buku Menggunakan Metode Backpropagation R Rahmiyanti; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.116

Abstract

Students of SMP Negeri 2 Lengayang have different interests in determining the books they are interested in, so that the library often has difficulty determining the books that are most entered by students, this is because they have not used the right system in determining the type and number of books, only based on the estimated number. Students and subjects only, as a result school students stock books of the books they want to borrow. Based on the above, a method is needed to predict and classify the amount of book stock in the future. The data used is a recap of monthly book lending, from 2018 to 2020 in the third month, with a total of 1653 transactions and 5 types of books processed, then the data is analyzed using the Backpropogation method. The results obtained are using a 5-3-1 pattern with a learning rate of 0.01, a goal of 0.01, the number of input units for the Weapon layer 5, the number of units in the hidden layer and the number of output layer units that are placed on 1 layer, and to carry out training using two phases namely feedforward and backpropagation phases. It is removed from this research that the backpropagation method can provide a classification prediction of the number of books that must be provided in the following year based on the number of data entered or the number of data entered.
Akurasi dalam Identifikasi Penyakit Sapi Pesisir Menggunakan Metode Forward Chaining Hafiz Mursalan; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.117

Abstract

Coastal cattle are livestock that have economic value, such as selling beef and cattle breeds. Cow disease can cause the quality of its sales to decrease. This study aims to help cattle breeders to determine the type of cow disease, from the symptoms that exist in these cows. So that the prevention of the risk of cow disease can be avoided. All data used are sourced from experts. In determining the type of disease in cows, the Forward Chaining method is used. The fact-finding technique is then put into the predetermined rules to get a conclusion. Making a website based expert system makes it easy for breeders to access it online. The accuracy of the system has been tested by related parties so as to produce fast and efficient information. From research, it can help breeders in diagnosing the symptoms experienced by cows and the test results can detect the type of disease accurately.
Tingkat Efisiensi Penggunaan Resep Dokter Spesialis Menggunakan Metode K-Means Clustering Sharon; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.118

Abstract

The National Formulary (Fornas) is a list of drugs stipulated in a Decree of the Minister of Health of the Republic of Indonesia, which is used as a guideline for hospitals in drug supply for participants of the National Health Insurance (JKN) program. Doctor's prescription is one indicator of the quality of hospital services. Prescribing drugs based on guidelines will provide efficiency in the supply of drugs. The purpose of this study was to facilitate controlling drug supplies, safe use of drugs and control costs and quality of treatment. K-Means Clustering is a method of grouping data into clusters using the K-Means algorithm. The data used in this study was a specialist doctor's prescription in December 2019 which was sourced from the Pharmacy department of the Meranti Islands District Hospital. The results of this research with the K-Means Clustering method consisted of 3 (three) clusters, namely cluster 0 obeying Fornas as many as 2 polyclinics, cluster 1 being less obedient to Fornas as many as 2 polyclinics and cluster 2 not obeying Fornas as many as 3 polyclinics. This research can be used as a reference and evaluation to hospital management on the efficiency level of using specialist doctor's prescriptions in improving the quality of hospital services.
Data Mining dalam Mengukur Tingkat Keaktifan Siswa dalam Mengikuti Proses Belajar pada SMP IT Andalas Cendekia dengan Menggunakan Metode K-Means Clustering Melissa Triandini; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.120

Abstract

The learning process is essentially to develop the activities and creativity of students through various interactions and learning experiences. The teacher is the most important factor in the process of improving the quality of education. In addition, student learning activeness is also an important basic element for the success of the learning process. The quality and activeness of students in learning at school has a lot of diversity which makes students have different levels of understanding, this needs to be a concern for the school, especially teachers as teachers and educators of students in schools. The purpose of this study is to measure the extent to which students' ability to undergo the learning process as well as a reference and evaluation material for the school in the success of educators when carrying out the teaching and learning process. In this study the data were sourced from the Integrated Islamic Junior High School Andalas Cendekia Dharmasraya which consisted of several variables, namely the presence of student data, Academic value (knowledge), Psychomotor value (skills), Affective value (spiritual and social). In grouping the data, the appropriate method in this study is the Clustering method with the K-Means Algorithm. The results of this study obtained 3 groupings of students, namely students who are very active, students who are active and students who are less active. This research is used as a guideline for teachers in the field of study in selecting students to participate in competitions and Olympics, and can be used as a benchmark for schools of the ability of educators in the teaching and learning process.
Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining Budi Permana Putra; Yuhandri Yunus; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.122

Abstract

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.

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