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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Indonesian Journal of Artificial Intelligence and Data Mining PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Ilmiah Media Sisfo Systematics Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Computer Science and Information Technology (CoSciTech) AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Komtekinfo Jurnal Informatika Ekonomi Bisnis Journal Medical Informatics Technology
Jufriadif Na`am, Jufriadif
Universitas Putra Indonesia YPTK
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health

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Implementasi Metode Forward Chaining dalam Mengidentifikasi Kepribadian Siswa Raju Wandira; Jufriadif Naam
Jurnal CoSciTech (Computer Science and Information Technology) Vol 1 No 2 (2020): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v1i2.2236

Abstract

Personality is the overall psychological and physical aspects of an individual reacting and interacting with other individuals. Personality is a prominent and often shown thing that exists in an individual. Students have different personalities, and that will affect the quality of learning. To be able to improve the quality of learning, schools need to identify and understand the personality of their students. So that appropriate learning methods can be applied and the selection of appropriate majors in tertiary institutions. To identify student personality can be done with a system called the expert system. The expert system identifies student personalities using the forward chaining method obtained from State High School 1 Candung students (SMAN 1 Candung), Agam Regency. In the forward chaining method, the reasoning process starts from the facts first to test the truth of the hypothesis. The process of finding the data starts from the premises to the final conclusion. Creating an expert system for identifying student personalities using the PHP Programming Language and MySQL Database. The result of testing this method is knowing the personality of students so that appropriate learning methods can be applied, majors recommendations and advice on the type of work according to the personality of the student. Personality expert system has been able to identify the personality of students in determining learning methods and choosing majors as well as suggestions for the type of work. Personality expert systems have been able to identify student personalities in determining learning methods and selection of majors as well as suggestions for types of work. This expert system is already running well and can be recommended to help students, teachers and schools in improving the quality of learning in schools
Analisis Penurunan Gradien dengan Kombinasi Fungsi Aktivasi pada Algoritma JST untuk Pencarian Akurasi Terbaik Anjar Wanto; Jufriadif Na`am; Yuhandri Yuhandri; Agus Perdana Windarto; Mesran Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2509

Abstract

There are many training function methods for gradient descent (gradient descent) and activation functions (transfer functions) that can be used in the ANN algorithm, especially the backpropagation algorithm. Therefore the aim of this paper is to analyze the best gradient descent that can be used as a reference for use in the ANN algorithm, especially the backpropagation algorithm in data prediction, classification and pattern management problems. The gradient descent methods to be analyzed include; Gradient descent backpropagation (traingd), Gradient descent with momentum backpropagation (traingdm), Gradient descent with adaptive learning rate backpropagation (traingda), and Gradient descent with momentum and adaptive learning rate backpropagation (traingdx). The training function will be combined with the activation function (transfer function) of bipolar sigmoid (tansig), linear transfer (purelin) and binary sigmoid (logsig). The sample data used for the analysis process is the time-series data for the Human Development Index in Indonesia, which is obtained from the Central Bureau of Statistics (BPS). Architectural models used for gradient descent analysis include: 6-10-15-1, 6-15-20-1, 6-20-25-1 and 6-25-30-1. Based on the analysis results, the best training function is traingda with an architectural model of 6-15-20-1 which produces an accuracy rate of 91% and MSE testing is 0.000731529 (smaller than other methods)
Data Mining Predictive Modeling for Prediction of Gold Prices Based on Dollar Exchange Rates, Bi Rates and World Crude Oil Prices Iman Priyadi; Julius Santony; Jufriadif Na'am
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 2 (2019): September 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v2i2.6864

Abstract

Gold is an investment instrument that is quite safe from inflationary attacks, and gold is one aspect of initiating investment. Can by buying gold in physical form and then selling when the price has risen high or by digitally investing gold. One of them is by trading gold online. To maximize the benefits of gold trading, a gold price prediction (XAUUSD) is needed for traders. This study aims to (1) Analyze various factors that influence the price of gold (2) Provide recommendations about the prediction of gold prices. Materials that will be used as objects of research to produce gold price predictions include historical XAUUSD (Gold) data itself, historical crude oil data, historical dollar data (USD IDR) and BI 7-Day Repo Rate (BI Rate). ), in producing the prediction of the gold price used Mining Predictive Modeling data using the linear regression function. The results to be achieved from this study is to provide accurate gold price predictions so that it can be used as a reference in making decisions to buy / sell positions in trading. The prediction of the XAUUSD gold price generated is expected to provide significant interest to the investment players (traders) in order to maximize the profit generated.From the results of the trading tests that have been carried out, the implementation of predictive modeling data mining using a linear regression function produces recommendations for gold price predictions (XAUUSD) with an accuracy of 85%.
Sebuah Tinjauan Penggunaan Metode Analytic Hierarchy Process (AHP) dalam Sistem Penunjang Keputusan (SPK) pada Jurnal Berbahasa Indonesia Jufriadif Na'am
Jurnal Ilmiah Media Sisfo Vol 11 No 2 (2017): JURNAL ILMIAH MEDIA SISFO
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.342 KB)

Abstract

Metode Analytic Hierarchy Process (AHP) sangat banyak hari ini digunakan dalam membantu kerja untuk mengambil keputusan. Ini dibuktikan dengan banyaknya tulisan ilmiah yang dipublikasikan pada jurnal berbahasa Indonesia penggunaan metode AHP dalam Sistem Penunjang Keputusan (SPK). Pada tulisan ini dilakukan tinjauan terhadap 10 buah tulisan ilmiah pertama yang ditemukan dalam mesin pencari google dalam penggunaan metode AHP. Hasil dari tinjauan ini menunjukan bahwa 50% dari tulisan-tulisan tersebut yang menggunakan metode AHP dalam mendapatkan keputusan. Telah diamati dari survei bahwa setiap masalah memiliki kelebihan & kekurangan tersendiri. Oleh karena itu, saya merasa bahwa survei ini akan berguna bagi para peneliti
PEMBOBOTAN KATA SMS SPAM Jufriadif Na'am
Jurnal Ilmiah Media Sisfo Vol 9 No 2 (2015): JURNAL ILMIAH MEDIA SISFO
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.505 KB)

Abstract

Murahnya biaya pengiriman SMS mengakibatkan tingginya penyalahgunaan dalam pengiriman SMS. Pesan yang disalahgunakan ini disebut dengan SMS Spam. SMS Spam tidak hanya mengganggu tetapi juga melakukan penipuan yang dapat merugikan si penerima. Kategori penipuan SMS Spam dapat dikelompokan menjadi advertising, smishing, remittance, scamming, dan forecasting. Untuk mengetahui kategori penipuan dari sebuah pesan dapat ditentukan dari jumlah bobot kata yang terkandung dalam pesan tersebut. Kata kunci : SMS Spam, advertising, smishing, remittance, scamming, forecasting, Naive Bayesian, pembobotan, penipuan.
Website Implementation with the Monte Carlo Method as a Media for Predicting Sales of Cashier Applications Elfina Novalia; Jufriadif Na'am; Gunadi Widi Nurcahyo; Apriade Voutama
SYSTEMATICS Vol 2 No 3 (2020): December 2020
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

System implementation is a testing process to make it easier for users to carry out the calculation process or process data. by testing it can be concluded whether or not a system is designed. One of them is the implementation of a website-based system to predict sales of cashier applications by applying the Monte Carlo method. Increasing sales of cashier applications currently make developer companies have to prepare quality and feasible software or applications as needed. To maintain an increase in profit, it is necessary to prepare and manage the right human resources. One of them is to simulate to predict future sales of applications by utilizing the Monte Carlo method which has been translated and implemented into a website. From the algorithm, a system implementation is carried out where the calculation process that has been built using Monte Carlo is translated into a website. Website design tools use UML with the PHP programming language and MySQL database. The website is tested and implemented whether the system that has been built is working properly and in accordance with the calculations made previously so that this system can facilitate the simulation process easily and effectively.
Sistem Pakar dalam Terapi Penyakit Menggunakan Objek Lidah Manusia dengan Metode Forward Chaining Yanto Saputra; Jufriadif Naam; Sumidjan Sumidjan
ZONAsi: Jurnal Sistem Informasi Vol. 2 No. 2 (2020): Publikasi Artikel ZONAsi : Jurnal Sistem Informasi, September 2020
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v2i2.4931

Abstract

Pemeriksaan lidah merupakan salah satu alat identifikasi yang penting, karena dapat menyajikan tanda-tanda yang jelas terlihat dari kelainan yang dialami penderita. Oleh karena itu, identifikasi penyakit melalui lidah penderita dapat dipertanggungjawabkan kehandalannya. Penelitian ini bertujuan untuk mengidentifikasi syndrome berdasarkan bentuk dan warna lidah serta selaput lidah. Identifikasi ini merupakan informasi awal untuk mendukung keputusan dalam mengambil tindakan terapi. Data yang diolah dalam penelitian ini sebanyak 20 pasien. Data ini bersumber dari Rumah Sehat Daud Pekanbaru yang melakukan konsultasi dan terapi pada pakar pengobatan tradisional Cina Muhammad Dodi, S.E., M.K.M. Metode yang dipakai untuk mengolah data adalah Forward Chaining. Berdasarkan hasil pengolahan yang telah dilakukan untuk menentukan syndrome dan jenis terapi yang diberikan memiliki tingkat akurasi sebesar 90%. Kemudian adapun hasil dari penelitian ini didapatkan nama syndrome, bentuk dan warna lidah, bentuk dan warna selaput lidah, dan tindakan terapi yang diberikan kepada pasien yang melakukan konsultasi.
The Concept of Green Human Resource Management in Industry Riandy Mardhika Adif; Jufriadif Na`am; Novizar Nazir
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 4 No. 1 (2020)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v4i1.35

Abstract

The integration of environmental management into Human Resource Management (HRM) is called Green HRM. There is a growing need for the application of Green HRD in industry. The objective of this review is to explore green human resource management practices of organizations in the industry based on the existing literature. Based on this review, it is concluded that by understanding and increasing the scope and depth of green HRM practices, organizations can improve their environmental performance in a more sustainable manner than before. The green HRM practices are more powerful tools in making organizations and their operations in industry green. The green performance, green behaviors, green attitude, and green competencies of human resources can be shaped and reshaped through the adaptation of green HRM practices.
Digitalisasi Grafik Elektrokardiogram dengan Teknik Pixel Indexing Jufriadif Naam; Catur Suharinto; Sumijan Sumijan
Prosiding SISFOTEK Vol 1 No 1 (2017): SISFOTEK 2017
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.467 KB)

Abstract

Grafik Elektrokardiogram (EKG) telah digunakan sebagai pendukung penegakkan diagnosa penyakit manusia oleh dokter. Pola grafik EKG mencerminkan aktivitas kelistrikan jantung manusia saat memompa darah ke seluruh tubuh. Grafik tersebut disajikan dalam sebuah kertas rekaman yang disebut sebagai kertas EKG. Untuk mengetahui perkembangan hasil terapi, setiap perekaman grafik EKG harus disimpan sehingga dapat dibandingkan dengan hasil rekaman EKG berikutnya. Digitalisasi dengan bantuan MATLAB dapat digunakan untuk proses penyimpanan grafik EKG secara efisien. Dengan teknik pixel indexing, grafik sinyal jantung diubah menjadi deret vektor yang berkesesuaian dengan amplitudo sinyal jantung pada grafik EKG. Vektor tersebut disimpan dengan kapasitas yang jauh lebih kecil dibandingkan citra hasil scan EKG. Vektor tersebut nantinya juga dapat diproses lebih lanjut dengan menggunkan kecerdasan buatan untuk menentukan kondisi kesehatan manusia.
Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection of Tuberculosis Extra Pulmonary Bacilli in the HSV Color Space Bob Subhan Riza; Jufriadif Na’am; Sumijan Sumijan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 3 (2022): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.74531

Abstract

Tuberculosis Extra Pulmonary (TBEP) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and can cause death. Patients suffering from this disease must be treated quickly without waiting long. Currently, anyone who will be detected caused by this bacterium takes a long time and costs a lot. The biopsy is one of the techniques used to take the patient's lung fluid and give Ziehl Neelsen chemical dye and then observe using a microscope to determine this TBEP disease. This research aims to help detect bacteria quickly and precisely by performing computer-aided image processing by creating an application system. The technique used is to develop the segmentation method. The segmentation process is to develop a Hue Saturation Value (HSV) color space transformation technique with the K-Means and Otsu Thresholding techniques. From the results of the two methods used, it turns out that the Otsu Thresholding method can detect TBEP results with more accuracy than the K-Means method. So the method developed is beneficial in accelerating and minimizing costs for detecting TBEP.
Co-Authors Adiddo Restiady ADIF, RIANDY MARDHIKA Agung Ramadhanu Agus Perdana Windarto AHMADI Ainul Mardiah Alya Shafra Hewiz Apriade Voutama Asep Kurniawan Bob Subhan Riza Bob Subhan Riza Catur Suharinto Catur Suharinto Dika Putri Metalica Dodi Andre Putra Dolly Indra Dwiza Riana Elfina Novalia Elvin Syahrin Eri Prasetyo Wibowo, Eri Prasetyo Faruq Aziz Feriantano Sundang Pranata Feriantano Sundang Pranata Gunadi Bin Senitio Gunadi Nurcahyo Gunadi Widi Nurcahyo Iman Priyadi Irawadi Putra Johan Harlan Johan Harlan Johan Harlan Julius Santony Julius Santony Julius Santony Julius Santony Kurnia, Hezy Larissa Navia Rani Mardison Mardison Maulia Rahman Mesran, Mesran Montesna Muhammad Abrar Masril Mutiana Pratiwi Nasir Hamzah Novizar Nazir Nur, Rofil M Puspitaningtyas, Mery Oktaviyanti Raju Wandira Rakhmad Kuswandhie Riandy Mardhika Adif Romi Hardianto Rosda Syelly Sahari Sahari Saputri, Daniati Uki Eka Saputri Sarifuddin Madenda Sarjon Defit Saut Parulian, Onesinus Sri Hadianti Sugiarti, Sugiarti Sumidjan Sumidjan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Suryadi Putra Liawatimena Syafri Arlis Teguh Herwanto Waeisul Bismi Wanto, Anjar Yanto Saputra Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yundari, Yundari