Article Per Year (5 Year)
p-Index From 2020 - 2025
17.039
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Elektron Jurnal Ilmiah TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) SITEKIN: Jurnal Sains, Teknologi dan Industri Riau Journal of Computer Science JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Jurnal Mantik Penusa Rang Teknik Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Pendidikan Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Applied Engineering and Technological Science (JAETS) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi Innovative: Journal Of Social Science Research Jurnal Informatika Ekonomi Bisnis RJOCS (Riau Journal of Computer Science) Jurnal Elektronika dan Teknik Informatika Terapan Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Gunadi Widi Nurcahyo
Universitas Putra Indonesia YPTK Padang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Other

Published : 166 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 166 Documents
Search

 2   3   4   5   6 
Sistem Pakar Metode Forward Chaining Untuk Psikoterapi Kejiwaan Terhadap Penyakit Kepribadian Genetik Wahyudi Wahid; Gunadi Widi Nurcahyo; Sumijan Sumijan
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.v2i4.72

Abstract

The problem with personality disease is that the disorder experienced cannot be easily identified because it tends to be ignored. Most people who experience symptoms of the disorder are still reluctant to see a doctor or a psychiatrist. This is due to several limitations such as limited places for consultation or psychiatrists. With these limitations the role of the Expert System is very important in solving a problem, the problem is a personality disease. The purpose of building this Expert System is to help people who suffer from personality problems consult online without having to come directly to a psychiatrist. This expert system will later become a solution to these genetic personality problems. So that people are no longer difficult to see a doctor or psychiatrist. All data to be used are sourced from experts. Forward Chaining is used in this research as a method. The search technique that begins with the facts obtained, then adjusts the rule model that has been built is called Forward Chaining. Observations will result in a website-based Expert System product that users can access online. The accuracy of the system has been tested by related parties and results in a faster and more efficient information. The conclusion of this research is to help people to diagnose the symptoms of personality disorder that they experience unconsciously and the test results can clearly detect genetic personality disease.
Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Jenis Penyakit alergi Kulit Pada Balita Nia Nofia Mitra; Gunadi Widi Nurcahyo
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.v2i4.75

Abstract

The immune system possessed by toddlers who are weaker than adults makes toddlers more susceptible to diseases, including allergic diseases. Allergy is a hypersensitivity reaction that can be seen by immunologists, which can affect almost all body tissues and clinical symptoms according to the affected organs, allergies usually occur in human skin. The skin is the largest organ of the human body, which is the body's first defense against bacteria and viruses. For this reason, parents must pay more attention to toddlers because poor health conditions will certainly greatly affect the child's growth. Lack of experts in the field of skin so we need an expert system that is able to match the experts in the hope that it can help parents to know about skin allergies in toddlers early. The method used to identify the type of skin allergic disease in toddlers is using the Definty Factor method where the CF method shows the certainty value of an uncertain fact and reaches a 100% accuracy level from testing 8 patient data, so that the Definty Factor method can be used to see the types of skin diseases suffered by toddlers.
Sistem Pakar Menggunakan Metode Forward Chaining dalam Identifikasi Kemampuan Siswa Terhadap Bidang Vokasi Pada Sekolah Menengah Kejuruan Ilham Effendi; 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.v3i1.83

Abstract

The ability of students in the vocational field is a skill that students have in mastering certain applied skills. The ability of these students will be a benchmark in determining the choice to continue to higher education, work in the Industrial World Business World or do entrepreneurship. Constraints in assessing self-ability become a problem for students when completing school. The Expert System is an alternative to help students consult earlier to determine future directions. Developing the Expert System application provides an overview of students' abilities in the vocational field so that they are right on target in choosing a career. The data comes from interviews with class XII students of SMK Negeri 1 Kinali and data on the types of problems provided by experts. After data collection, analysis and problem solving were carried out using the Forward Chaining method by formulating rules or rules. The results of the rule formulation are implemented into a system that aims to determine the extent to which the PHP programming language is applied in identifying students' abilities in the vocational field in class XII of SMK Negeri 1 Kinali. Followed by testing the results so that the results of the process carried out with the help of the application are in accordance with the results of the process carried out manually. The result of the application is that it can provide early instructions for the right choice of determining students' abilities in the vocational field. The application of the Forward Chaining method that is applied to the system in determining students' abilities in the vocational field has an accuracy level of up to 80%, therefore the system can be said to be good enough to be applied.
Sistem Pakar pada Sistem Pembayaran Uang Kuliah Cicilan Menggunakan Metode Weighted Product (Studi Kasus Universitas Dharma Andalas) Rahmad Supriadi; 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.v3i1.89

Abstract

Dharma Andalas University is a change in form from the Dharma Andalas Higher School of Economics (STIE). Dharma Andalas University is one of the private universities in the city of Padang which is under the auspices of the Andalas Dharma Education Foundation (YPDA) which is directly fostered by the Andalas University alumni association. Dharma Andalas University is a private university so operational costs come from student tuition fees. Payment of tuition fees is an obligation of every student, considering that tuition fees are quite expensive, Dharma Andalas University provides relief for students to make tuition payments in installments. The purpose of this study is to assist the leadership in making a decision to pay installments using the Weighted Product method. In this study, the data processed is the data of students who apply for installment tuition payments at Dharma Andalas University. The data processing is to determine the criteria for each alternative by multiplying for attribute match reting, then rank with the attribute weight value which results in the vector value V, then the vector value V is ranked from the highest value to the lowest value where the highest value will be prioritized. Furthermore compared to the manual calculation method with a system that has been made, the results are the same with an accuracy rate of 97%, so that it can be recommended to the leadership to help make decisions about the payment of tuition installments.
Sistem Fuzzy Menggunakan Metode Sugeno dalam Akurasi Penentuan Suhu Kandang Ayam Pedaging Darma Yunita Darmawi; Gunadi Widi Nurcahyo; Sumijan
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.v3i2.95

Abstract

Chicken meat is one of the most commonly consumed side dishes. To produce high quality chicken meat, a system is needed that makes it easy for breeders to buy chickens, one of which is the right system in determining the temperature of a broiler cage. The purpose of this study was to obtain a temperature appropriate to the age of the chickens as well as in its cultivation. In this case, the Fuzzy Sugeno method is used in an effort to build a systematic approach to generate the fuzzy rules from the input data sets given with fuzzy variables temperature, chicken age and decision. Where in each fuzzy variable there are linguistic variables, age (small, adolescent, and adult), temperature (cold, medium, and hot), decision (cold, ideal, hot). Later it will be processed with Matlab R2013a and can be implemented with Arduinno Mega 2560 using the Arduino IDE (Integrated Development Environment) programming compiler. A typical study in this study was conducted in a broiler cage with a size of approximately 40X10 m with a capacity of about 5000 broilers. The result of testing for this method is the ideal temperature according to the age and temperature of the broiler house input. From the trials that have been carried out, it can be said that the Fuzzy Sugeno method which is implemented with the Arduino Mega 2560 microcontroller can increase the accuracy of the ideal temperature in broiler brackets.
Simple Additive Weighting dalam Penyaluran Dana Bantuan Sekolah Dasar Afifah Trista Ayunda; 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.v3i2.96

Abstract

School grants are the distribution of education funds for elementary schools sourced from the Boss Performance (Bos Kinerja). Boss Performance or school operational assistance is allocated for schools that are considered to have good performance. The issues that often arise is the distribution of school aid funds that are not on target, this is due to the absence of a method for distributing these funds, which has affect on the performance of the school education unit. Decision support systems with Simple Additive Weighting (hereinafter reffered to as SAW) method are used to encourage the quality of education services for elementary schools which are considered to have good performance in educational units. Moreover, its facilitate in making and supporting decisions in the distribution of elementary school assistance funds. In the result of this study found the final result 100 percent accuracy therefore adoption of the Simple Additive Weighting method helps in making decisions that are right on target in distributing primary school grants.
Simulasi Monte Carlo untuk Memprediksi Persediaan Darah Rahmi Darnis; Gunadi Widi Nurcahyo; 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.v2i4.98

Abstract

Blood is a special organ as a communication and transportation system whose job is to circulate nutrients and oxygen. As a very vital transport system and its very useful existence for many people, blood must be managed properly. Monte Carlo simulations can predict problems related to blood stock and demand for blood. The data that is processed to predict blood supply is blood production data in 2018 and 2019, Simulation results data for 2018 are compared with real data for 2019 and simulation results for 2019 are compared with real data for 2020. The results of the simulations that have been carried out have an accuracy rate of 96.21% for 2018 and 79.22% for 2019. Based on the results of the tests that have been done, it can provide information that can help in the management of forecasting future blood stocks.
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.
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.
Co-Authors A Alfarisdon AA Sudharmawan, AA Abdi Rahim Damanik Afifah Cahayani Adha Afriosa Syawitri Agung Ramadhanu Ahmad Zamsuri, Ahmad Alexyusandria alexyusandria Alfarisdon, A Ali Djamhuri Andi, Muhammad Yusril Haffandi Anggraini, Siska Dwi Anita Sindar Apriade Voutama Ardia Ovidius ardialis Asyhari, Ahmad Aulia Mardhatilla Ayudia, Dina Ayunda, Afifah Trista Bayu Rianto Billy Hendrik Boy Sandy Dwi Nugraha.H Breinda, Engla Budayawan, Khairi Budiarti, Lela Bufra, Fanny Septiani Candra Putra Cyntia Lasmi Andesti Cyntia Trimulia Damanik, Abdi Rahim Daniel Theodorus Darma Yunita Darmawi Darnis, Rahmi Dedi Irawan Deri Marse Putra Dina Ayudia Dinda Permata Sukma DWI JULISA UTARI Dwi Utari Iswavigra Dyan Mardinata Putra Eka Putra, Dian Elfina Novalia Erizke Aulya Pasel Faisal Roza Fajri Karim Fanny Septiani Bufra Fauzan Azim Fauzi Erwis Febriani, Widya Febrina, Yerri Kurnia Fernando Ramadhan Fitriani, Yetti Fortia Magfira Gaja, Rizqi Nusabbih Hidayatullah Hafid Dwi Adha Handika, Yola Tri Hartati, Yuli Hasni, Salmi Hazlita, H Hendrik, Billy Honestya, Gabriela Humairoh, Putri Idir Fitriyanto Idir Ilham Effendi Indah Savitri Hidayat INTAN NUR FITRIYANI Ipri Adi Ira Nia Sanita Jefri Rahmad Mulia Johan Harlan Jufri, Fikri Ramadhan Jufriadif Na`am, Jufriadif Jufriadif Na’am Juliantho, Dwana Abdi Julius Santoni Julius Santony Julius Santony Julius Santony Julius Santony Julius Santony Karim, Fajri Khelvin Ovela Putra Kholil, Muhammad Irvan Larissa Navia Rani Leony Lidya Lidia Sutra Lova Endriani Zen Lubis, Fitri Amelia Sari Lusi Kestina Luth Fimawahib M Mutia M, Mutia M. Almepal Wanda M. Ibnu Pati Mardayatmi, Suci Mardison Mardison Marfalino, Hari Meilinda Sari Meilinda Sari Melissa Triandini Miftahul Hasanah Miftahul Hasanah, Miftahul Miftahul Mardiyah Mike Zaimy Muhammad Irvan Kholil Nabila, Tuti Nadia, Nadia Aini Hafizhah Nadya Alinda Rahmi Nasution, Amir Salim Khairul Rijal Nia Nofia Mitra Nissa, Ika Ima Nst, Ely Nurhalizah Nur Azizah Nur, Rofil M Nurdini, Siti Pati, Muhammad Ibnu Pebriyanti, Defi Petti Indrayati Sijabat Puji Chairu Sabila Putra, Akmal Darman Putra, Deri Marse Putra, Dyan Mardinata Putri Humairoh Putri, Stefani Putut Wicaksono, Putut Radillah, Teuku Rafiska, Rian Rahmad Supriadi Rahman, Zumardi Ramadhanu, Agung Riati, Itin Rika Apriani Rika Apriani, Rika Ririn Violina Ritna Wahyuni Rizka Hafsari Rizki Mubarak Roby Nurbahri Roni Salambue Rovidatul Rozakh, Muhammad Rusnedy, Hidayati Rustam, Camila S Sumijan Sabil, Muhammad Sahari Sahari Sahri, Alfi Sajida, Mayang Sandi Alam Sandrawira Anggraini Sani, Rafikasani Santriawan, Aji Sari, Fitri P. Sarjon Defit Sarjon Defit Sarjon Defit Septiana Vratiwi Sharon Sintia Sintia Siregar, Fajri Marindra Sisi Hendriani Siska Dwi Anggraini Siti Nurdini Sovia, Rini Sri Handayani Sri Layli Fajri Stefani Hardiyanti Putri Suci Mardayatmi Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan, S Suri, Melati Rahma Sutra, Lidia Syafri Arlis Tesa Vausia Sandiva Ulfa, Ulia Ulfatun Hasanah Ulia Ulfa Verdian, Ihsan Vratiwi, Septiana W Wahyudi Wahyu, Fungki Wahyudi Wahid Wahyudi Wahyudi Wendi Robiansyah Weri Sirait Widya Febriani Yeng Primawati Yerri Kurnia Febrina Yetti Fitriani Yolla Rahmadi Helmi Yoni Aswan Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yuhandri Yunus Yuhandri, Y Yuli Hartati Yunita Cahaya Khairani Yunus, Yuhandri Yuyu, Yuhandri