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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Community Development Journal: Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Insearch: Information System Research Journal Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi Innovative: Journal Of Social Science Research
Yuhandri Yuhandri
Universitas Putra Indonesia YPTK Padang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Jurnal Informasi dan Teknologi

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Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan Subrianto Chandra; Yuhandri Yunus; 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.v2i4.70

Abstract

The skin is an important organ located on the outside of the human body that needs to be kept healthy. Good skin health will certainly increase self-confidence, especially for women. Lack of information about diseases and treatment solutions and the small number of professional estheticians means that women end up not consulting when skin problems arise. If left untreated, skin problems will be more serious. The purpose of this study was to identify the accuracy of skin problems in women so that a solution in caring for the skin was obtained. The data processed in this study are the results of an interview from an aesthetic doctor about skin problems in women and the solutions and symptoms experienced by patients. Then the data obtained manually were processed using the Certainty Factor method and tested with a website-based system. The processing stage of this method is the compilation of symptoms into rules, giving weight values ​​for each symptom and calculating based on the Certainty Factor rule formula. The results of testing this method were 13 data on aesthetic skin diseases identified from 15 trial data. So that the level of accuracy is 86.67%. The results of this test have been able to identify well. The Certainty Factor method used can identify quite specifically and can be recommended to skin aesthetic doctors in increasing accuracy for identifying skin problems in women.
Prediksi Bed Occupancy Ratio (BOR) Menggunakan Metode Monte Carlo Dendi Ferdinal; Sarjon Defit; Yuhandri Yunus
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.v3i1.80

Abstract

Planning for medical personnel, support staff and hospital facilities for the future is very important in order to carry out excellent and optimal services. Management must be able to predict the percentage of bed use based on a certain period of time or Bed Occupancy Ratio (BOR), in order to see the needs of medical personnel, supporting personnel and hospital facilities. To predict BOR in the future, a Monte Carlo simulation can be carried out using data on the day care for the Second Floor Baby care room in 2017, 2018 and 2019. The Second Floor Baby Room has a bed capacity of 12 units. The prediction rate for the treatment room using the Monte Carlo simulation is 93.09% for 2018 predictions and 89.78% for 2019. So this Monte Carlo simulation method simulation can be used in predicting BOR in hospitals. For the 2020 simulation, the BOR is 77.42% with a total treatment day of 3391.
Sistem Pakar Menggunakan Metode Forward Chaining pada Tingkat Kesembuhan Terapi Farmakologi dan Gaya Hidup Sehat Terhadap Pasien Hipertensi Arika Juwita Z; Sarjon Defit; Yuhandri Yunus
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.v3i1.82

Abstract

Hypertension is blood pressure above normal caused by strong blood flow to the walls of the arteries, resulting in certain complications that are at risk of triggering heart disease, stroke, kidney failure and even death. Many people do not know about the symptoms and types of hypertension, so a system is built to make it easier for the medical team and system users to find out the types of hypertension along with the cure rate with pharmacological and lifestyle therapies. The purpose of this study was to determine the cure rate of pharmacological therapy and a healthy lifestyle for hypertensive patients based on data collected from experts. The data that were processed were 25 symptoms, 2 therapy data, and 8 types of hypertension based on blood pressure classification. The symptoms and types of disease are entered into the expert system using the Forward Chaining method and rules. To see the accuracy of the cure rate for pharmacological therapy and a healthy lifestyle for hypertensive patients, a Forward Chaining method is needed, namely: Prepare data input, define decision tables, define rules, perform processes that create decision trees. The results of the study with 25 symptom data obtained as many as 8 decision rules, namely which type of hypertension the patient has and which cure should be done. Based on the analysis carried out, it can be seen that the cure rate of pharmacological therapy and a healthy lifestyle can be used as a reference for making decisions to analyze the healing of hypertensive patients with pharmacological therapy and a healthy lifestyle. This expert system calculation shows the percentage of success from the expert.
Sistem Pakar dengan Metode Certainty Factor dalam Analisis Penyakit Herpes Zoster pada Manusia Teguh Junaidi; Yuhandri Yunus
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.v3i2.92

Abstract

Herpes Zoster or shingles is an infection caused by the varicella zoster virus. Herpes Zoster is also called shingles because there will be blisters on the skin in the form of lines or small areas on one side of the face or body and it feels quite hot like burning. Usually the patient experiences complaints in the form of reddish spots and air-filled bubbles appear. Designing an expert system in order to help users with the early symptoms of Herpes Zoster, as well as indicators of the type of Herpes Zoster disease which they suffer through the results of direct consultation through the system. The data used in this study were obtained from direct interviews with experts, namely Dr. Qaira Anum Sp.KK at the RSI hospital. Ibnu Sina Padang as a specialist in skin and venereal diseases. The data obtained were data on the types of Herpes Zoster, the symptoms of each type of Herpes Zoster, the weight of each type of existing symptoms, and the solution or prevention of each type of Herpes Zoster disease. This research was assisted by using the Certainty Factor method in order to facilitate the process of determining what type of Herpes Zoster disease suffered by users who consult through the system based on the symptoms felt by each user. The result of testing this method is that there are 100% of 10 testing data. Based on the accuracy of the findings for this system, this study is very precise in the level of identity known to Herpes Zoster in humans. Expert system of examiners can specifically identify Herpes Zoster. Through this Certainty Factor method, the level of accuracy is accurate and can help veterinarians improve their accuracy to identify Herpes Zoster in humans.
Atomatisasi Penentuan Jenis Kerusakan Motor Matic Merk NMAX Yamaha Menggunakan Metode Forward Chaining Willy Eka Septian; Yuhandri Yunus
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.v3i2.93

Abstract

Easy access to motorcycle has now made almost all people own motorcycle. However, there are many obstacles in motorcycle maintenance, especially N-Max motorcycle. The lack of knowledge about engine failure has resulted in many owners choosing the workshop to be the destination for detecting motorcycle damage. Then the research was carried out by applying the Forward Chaining method to detect damage to the N-Max motorcycle. The result of this research is that the owner of the Yamaha N-Max motorcycle can find out the damage to the motorcycle early and get the solution suggested by the system. This study resulted in 86.7% of the success rate of this system.
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.
Sistem Pakar untuk Mengukur Tingkat Akurasi Dalam Mengidentifikasi Kepribadian Menggunaakan Metode Forward Chaining Johan Danu Wijaya; Yuhandri Yunus
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.v3i1.99

Abstract

Personality identification is one of the important things to know yourself and others. This identification is carried out based on the trait symptoms a person has based on the big five personality theory. This study aims to measure the level of accuracy in identifying personality based on visible trait symptoms. The data processed in this study were 10 patients. This data comes from psychology experts at the Faculty of Psychology, Riau Islamic University. The method used to process data is forward chaining. Based on the sample data processing that has been done to identify a person's personality and character, it has an accuracy rate of 100%. The results of this study obtained the type of personality which will then be understood by everyone to be able to identify their personality more deeply.
Identifikasi Potensi Daerah Menggunakan Metode K-Means Clustering pada Pendaftaran Tanah Sistematis Lengkap Deno Yulfa Ardian; Sarjon Defit; 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.v2i4.106

Abstract

The lack of public awareness in some regions in making land title certificates has resulted in the Program Pendaftaran Tanah Sistematis Lengkap (PTSL) being unable to run evenly. This study aims to identify areas that have the potential for making land certificates so that there is an equal distribution of the PTSL program. Based on PTSL data for 2017, 2018, and 2019 in the City of Bukittinggi, there are several urban villages that still have low potential in making certificates. The K-Means method can be used to group data from an area. The results of the testing of this method were 3 clusters of potential areas were obtained, so that the potential approach of land registration areas was obtained through the PTSL program to achieve the complete city target by the Bukittingi City Land Office.
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.
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.
Co-Authors - Hendrick AA Sudharmawan, AA Abdul Azis Said Agung Ramadhanu Akbar Iskandar Alifcha Ghazian Alifia Restu Selvanda Allans Prima Aulia Angga Putra Juledi Arika Juwita Z Ayu Prima Siska Bobi Heri Yanto Budi Jaya Budi Permana Putra Chairul Imam Darnis, Rahmi Dendi Ferdinal Deno Yulfa Ardian Desi Laidawati Dodi Andre Putra DWI JULISA UTARI Dwika Assrani Eka Naufaldi Novri Eka Sofianti Fahmi Firzada Fajri Ilhami Andrean Fhajri Arye Gemilang Gunadi Widi Nurcahyo Hasanatul Iftitah Hendro Zalmadani Henky Andema Hermanto Heru Rahmat Wibawa Putra Irvan Okta Mazhona Ismail Virgo Jefdy Kurniawan Johan Danu Wijaya Jufriadif Na`am, Jufriadif Julius Santony Julius Santony K Kadrahman Lc Granadi Suhaidir Lidia K Simanjuntak Lova Endriani Zen Lusi Kestina M Ilham Aldyno M Mutia Malik, Rio Andika Mesran, Mesran Mohammad Guntur Montesna Muhammad Arif Zikir Risky Muhammad Ihksan Muhammad Ikhlas Musli Yanto Nandra Sunaryo Nasma Yeni Nasution, Annio Indah Lestari Nuning Kurniasih R Rahmiyanti Rafi Septiawan Putra Ragil Ardiansyah Rahmad Dian Riski Randa Hidayatullah Rivo Stephano Roby Nurbahri Ronda Deli Sianturi Rovidatul S Salmiati S Sumijan Sahat Sonang Sitanggang Salman Alfarisi Salimu Sarjo Defit Sarjon Defit Sarjon Defit Septiana Vratiwi Setiawan, Adil Silfia Andini Sri Amalia Harahap Sri Dewi Stefani Hardiyanti Putri Subrianto Chandra Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Syahid Hakam Abdul Halim Syaljumairi, Raemon Teddy Winanda Teguh Junaidi Tessa Y M Sihite Wenni Afrodita Willy Eka Septian Yendi Putra Yosua Ade Pohan Yundari, Yundari Yuniko Fauzan Yusma Elda Zupri Henra Hartomi