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Sistem Pendukung Keputusan Spesifikasi Biji Jagung Berkualitas Terbaik Dengan Metode Multi Attribute Utility Theory imam, chairul; Santony, Julius; yunus, Yuhandri
Jurnal KomtekInfo Vol 5 No 3 (2018): KOMTEKINFO
Publisher : Lembaga Penelitian Dan Pengabdian Masyarakat UPI-YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/komtekinfo.v5i3.155

Abstract

Petani menjual biji jagung diperusahaan PT Charoen Pokphan Indonesia Tbk Medan,Biji jagung tersebut digunakan untuk campuran bahan baku pakan agar tercukupi nilai protein dan nutrisi pakan tersebut menjadi berkualitas. Perusahaan PT charoen Pokphan Indonesia Tbk Medan membali biji jagung ke petani dengan speksifikasi biji jagung berkualitas terbaik,agar tahu total harga biji jagung tersebut sesuai dengan kualitas yang dibutuhkan. Penelitian ini menetukan kriteria-kriteria jenis biji jagung berkualitas terbaik dan bagaimana menerapkan Metode Multi Attribute Utlity Theory Ke dalam sistem pendukung keputusan untuk menetukan kualitas biji jagung tersebut,untuk dapat membantu perusahaan PT charoen pokphan indonesia Tbk Medan dalam menentukan kualitas jenis biji jagung. Berdasarkan kriteria-kriteria yang telah ditetapkan pada perusahaan PT Charoen Pokphan Indonesia Tbk Medan untuk mendapatkan nilai biji jagung berkualitas terbaik dengan menggunakan grade 1 sampai grade 4 dan perangkingan. Hasil dari pengujian metode-metode tersebut adalah dihasilkan sebuah keputusan pada sebuah alternatif dengan nilai total sebesar 86.7%. Maka metode ini dibutuhkan untuk mengevaluasi penentuan spesifikasi biji jagung berkualitas terbaik sehingga menghasilkan keputusan terbaik. Kata kunci: Sistem Pendukung Keputusan, Biji Jagung,Multi Attribute Utility Theory
Sistem Pendukung Keputusan Pemilihan Dosen Berprestasi Dengan Metode Profile Matching di Lingkungan Poltekkes Kemenkes Padang Fauzan, Yuniko; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi Vol 1 No 4 (2019): Jurnal Sistim Informasi dan Teknologi
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1401.257 KB) | DOI: 10.35134/jsisfotek.v1i4.16

Abstract

The Polytechnic of the Ministry of Health of the Republic of Indonesia in Padang always conducts an annual assessment of outstanding lecturers. In terms of assessment, it must be based on the Tri Dharma of Higher Education which includes performance as well as personality and social achievements. The process of selecting outstanding lecturers at the Padang Ministry of Health Poltekkes is still manual, therefore it is necessary to design an application of a decision support system to determine outstanding lecturers using computerization using the profile matching method. The application is expected to help the campus in making decisions regarding the determination of outstanding lecturers with predetermined criteria and values. The results of this study get the final value of 4.84 obtained by the lecturer Dosen 2. Then from this analysis will be able to help the campus in determining the outstanding lecturers
ANALISIS TINGKAT KEJAHATAN PADA ANAK DIBAWAH UMUR MENGGUNAKAN METODE FP-GROWTH Juledi, Angga Putra; Defit, Sarjon; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi Vol 2 No 1 (2020): Jurnal Sistim Informasi dan Teknologi
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i1.21

Abstract

Crimes in minors are a series of negligence by parents who endanger or pose a dangerous threat to the child. The purpose of this study is to implement Data Mining, Association rule, and the FP-Growth Algorithm in cases of juvenile crime so that it can extract knowledge and important and interesting information from the database. The data source used is raw data that has not been processed and is a crime data on minors which are summarized in the form of reports from the West Sumatra Regional Police. The results of this study are in the form of software by analyzing data collected using the FP-Growth Algorithm and using the concept of FP-Tree development in searching for Frequent Itemset, for testing the results carried out with applications that have been designed namely the Php programming language. The results of testing are obtained from associations of crime cases that often occur in minors. So it can be seen that data mining using the FP-Growth Algorithm can be used to analyze cases of crime in minors as a material consideration for the police in order to know the ins and outs of crime in children so that it can assist the investigation process.
KLASTERISASI TINGKAT KEHADIRAN DOSEN MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING (STUDI KASUS INSTITUT AGAMA ISLAM BATUSANGKAR) Virgo, Ismail; Defit, Sarjon; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi Vol 2 No 1 (2020): Jurnal Sistim Informasi dan Teknologi
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i1.22

Abstract

Non-Civil Servant Lecturers of Batusangkar State Islamic Institute (IAIN) are still manual in recording the presence of non-civil servant lecturers. This study aims to use an application to record the number of meetings conducted during the teaching and learning process by non civil servant lecturers who are able to study courses. The meeting data will be an assessment of the performance of non civil servant lecturers. Higher education quality assurance institutions can classify non-civil servant lecturer meeting data using Knowledge Discovery in Database (KDD). The next stage is to do data mining with the K-Means Clustering Algorithm. The results of this study grouping lecturers into 3 groups: 72 subjects taught by non-civil servant lecturers in the group rarely meet (4,7650%), 69 courses that are taught by non-civil servant lecturers in the group are in meetings (4,5665%), and 1370 subjects taught by lecturers non civil servants in the diligent group meeting (90.6684%). Based on the results of the study it was concluded that the academic year 2017/2018 odd semester and even non-civil servant lecturers supporting certain subjects diligently entered at each meeting with attendance rates of 12-16 times meetings per semester.
IDENTIFIKASI KARAKTERISTIK ANAK BERKEBUTUHAN KHUSUS MENGGUNAKAN METODE CASE BASED REASONING (STUDI KASUS DI SEKOLAH LUAR BIASA NEGERI 1 LINGGO SARI BAGANTI) Vratiwi, Septiana; Yunus, Yuhandri; Nurcahyo, Gunadi Widi
Jurnal Sistim Informasi dan Teknologi Vol 2 No 1 (2020): Jurnal Sistim Informasi dan Teknologi
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i1.28

Abstract

Children with special needs are children who have different characteristics and limitations in ability. This child with special needs is called Tunagrahita. Developmental impairment is classified into three categories namely mild, moderate and severe. This study aims to help the process of identifying the characteristics of mental retardation experienced by children. This study uses the Case Based Reasoning (CBR) method to identify children with special needs using the data of the mentally disabled children in SLBN 1 Linggo Sari Baganti. Similarity results were 51.92% for moderate developmental impairment, 17.5% for mild developmental impairment and 8% for severe developmental impairment. Calculations are performed using Visual Basic Net 2010.
SISTEM PAKAR DIAGNOSA SIKAP DAN GAYA BELAJAR UNTUK MENERAPKAN AKHLAKUL KARIMAH PADA SISWA Kadrahman, Kadrahman; Sumijan, Sumijan; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi Vol 2 No 2 (2020): Jurnal Sistim Informasi dan Teknologi
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.31

Abstract

Expert system is one of the use of technology in supporting every human activity. One of the uses of the expert system is for education. The expert system will help teachers to analyze the attitudes displayed by students. The purpose of this study is to analyze the attitudes and learning styles of students, apply good moral methods to students and determine the type of good approach to students using the Forward chaining method. The data needed for this research is student attitude data, data on learning style types, and moral data of morality and data on solutions to the application of morality and character. This research resulted in a solution in the form of the method of moral lighting according to the learning style with data accuracy of 86.2%. The conclusion of this study is that the design of an expert system for diagnosing student attitudes makes it easier for teachers to approach students.
PEMILIHAN SUPPLIER OBAT YANG TEPAT MENGGUNAKAN METODE MULTI ATTRIBUT UTILITY THEORY Djasmayena, Selvia; Yunus, Yuhandri; Putra, Rezi Elsya
Jurnal Informasi & Teknologi Vol 1 No 4 (2019)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.27

Abstract

Drug suppliers are those who sell and distribute drugs to pharmacies or sections that carry out pharmaceutical activities. Selection of the right supplier can support the operational activities of the pharmacy. Pharmacists must know the right criteria in choosing a supplier. Criteria determined by pharmacies not all suppliers can fulfill it. Overcoming this decision support system is very necessary in the selection of suppliers. Multi-Attribute Utility Theory is a ranking method that helps in supporting supplier selection decisions at Pekanbaru Assyafni Pharmacy. Supplier selection uses 15 sample supplier data and 5 criterion data used as a basis for supplier selection. Such as drug production, delivery time, quality stability, service response, and guarantee. The results of the study get a high degree of accuracy that is 86.67% of the right suppliers and in accordance with the realization of test data. So this research is very important in choosing the right supplier.
PREDIKSI OPTIMAL DALAM PRODUKSI BATA MERAH MENGGUNAKAN METODE MONTE CARLO Zalmadani, Hendro; Santony, Julius; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol 2 No 1 (2020)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v2i1.11

Abstract

The availability of red bricks on the market is a problem that must be addressed. Because the availability of red brick affects sales revenue. The purpose of this research in the Small and Medium Micro Business of the Red Brick City of Pariaman is to predict the production of red bricks to find out income and find out the next production. So this research can make it easier for business owners to find out how much it will cost for the next production cost. The data used in this study are production data from 2017 to 2019 which are processed using the Monte Carlo method. Based on the results of production prediction testing that has been done, it is found that the average accuracy is 90%. With the results of a high degree of accuracy, the application of the monte carlo method is considered to be able to predict production annually. Making it easier for business owners to determine the costs incurred in the next production process.
PEMETAAN PROMOSI DALAM PENJARINGAN CALON MAHASISWA MENGGUNAKAN ALGORITMA BACKPROPAGATION Kurniawan, Mhd Hary; Defit, Sarjon; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol 2 No 1 (2020)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v2i1.17

Abstract

Promotion requires a large fee if it is not targeted when doing it. Backpropagation is an excellent method of dealing with the problem of recognizing complex patterns. Backprogation neural network each unit in the input layer is connected to each unit in the hidden layer. Student data from 2014 to 2018 is a comparison point. The results of testing of this method are calculations using a sample value of 5 years before using a comparative value of 2014 to 2018 totaling 602 data. This research uses 5-5-1 architecture, epoch 2000 and learning rate so that the data accuracy reaches 71% with an error value of 0.0099. The results of this study are 16 districts that become promotion recommendations. Ordering of forecasting the highest number of students to the smallest number of students, so it can be concluded that this method is very useful in mapping promotions.
OBJEKTIVITAS SUMBER DAYA DOSEN MENGGUNAKAN METODE WEIGHT PRODUCT (STUDI KASUS DI UNIVERSITAS PUTRA INDONESIA YPTK PADANG) Putra, Deri Marse; Nurcahyo, Gunadi Widi; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol 2 No 1 (2020)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v2i1.20

Abstract

Lecturers as one of the human resources who have an important role in higher education activities need to be maintained the quality of their performance. One of the activities carried out is evaluating and ranking lecturers to improve the quality of performance. There needs to be a Decision Support System that can help in assessing and evaluating lecturer performance. One method in decision support is the Weight Product Method. The purpose of this research is to create a decision support system to determine the best lecturers and rank of each lecturer. The subjects of this study were lecturers at Putra Indonesia University YPTK Padang using a data sample of 5 lecturers. Data collection techniques used in this study were observation and interviews. Comparison of the results of calculations carried out manually with the results of calculations using the Weight Product method of 5 sample data used found the best lecturer with a vector V value of 0.0819. This decision support system was created using the PHP programming language and MySQL database. So that this research is more efficient because the time required in the calculation is shorter and produces the best lecturer choice that matches the criteria.